WEBVTT

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Breaking free from the chains of the past Where

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truth moves faster than a Holstein calf No law

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waiting on some printed page We're charting new

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ground in the digital age From genomic codes

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to robot facts We cut through the noise, no hold

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them back not your daddy's dairy news tonight

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we're sparking Welcome to the Bullvine Podcast,

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where we tackle the biggest questions and boldest

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changes facing today's dairy industry. I'm your

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host, and in this episode, we're diving deep

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into a reality that every producer, big or small,

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needs to face now. How China's astonishing 500

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,000 cow megafarms and advances in lab -grown

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milk are changing the game for dairies around

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the world. We'll break down why the missing middle

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of dairying is shrinking, what this means for

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your cost structure, and the three options every

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operation must consider during the next 18 months.

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Whether you're managing 150 cows in the Northeast,

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1 ,200 in Wisconsin, or following the global

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markets, this episode offers the clarity and

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actionable insight you need to decide your future

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before someone or something else decides it for

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you. Okay, let's unpack this immediately because

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the context is everything here. For generations,

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right, the progression of the dairy farm was

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kind of a slow climb up the ladder. Your grandfather

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milked 50 towels. Maybe your father built it

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up to 500. And the underlying economy, well,

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it supported that incremental growth. Yeah, it

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felt manageable. You could see the path forward.

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But today, the game has just fundamentally changed.

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We are talking about global operations that milk

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5 ,000 cows, 50 ,000 cows, and yes, even up to

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half a million cows. It's a whole different world.

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And that fundamental shift in scale, driven largely

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by national and global capital, has created what

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this analysis calls a missing middle crisis.

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So if you're running an incredibly well -managed

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operation, say between 500 and 2 ,000 cows, you

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are structurally... caught. You're stuck. Well,

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you don't have the sheer volume to tap into those

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mega -scale economies, the really low costs,

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but often you're also too large, maybe too invested

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in infrastructure to pivot quickly into those

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premium local niche markets. You're kind of stranded

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in the middle. Exactly. And the central premise

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of the analysis we're looking at today is that

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the window for making strategic decisions, the

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decisions that preserve your farm equity, your

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family's wealth, it's critically narrow. We're

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not talking about five years out. We're talking

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about maybe 12 to 18 months right now. Wow. 12

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to 18 months. That's really soon. It is. And

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the urgency is driven by a structural disadvantage

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that's mathematical, not really managerial. This

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data points to the fact that midsize farms face

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nearly a million dollars. Think about that. A

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million dollars in annual structural cost penalties

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compared to their largest competitor. Let's really

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emphasize the stakes here. Why that 18 month

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window? If I'm sitting here thinking, oh, the

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milk price cycle will turn around eventually

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or, you know, I'll just wait for ideal conditions.

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What does that wait? actually cost me. Yeah.

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What's the price of an action? Well, the paper

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is absolutely brutal on this point. If you wait,

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you risk substantial equity erosion, massive

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erosion. We're talking about preserving, say,

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85 to 90 percent of your farm's historical value

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now while you're still operating from a position

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of relative financial strength. Compared to what?

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Compared to maybe getting only 20 to 30 percent

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back after you've gone through prolonged periods

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of operating below your cost of production because

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of these structural disadvantages, it stops being

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a conversation about, you know, tweaking efficiency.

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And it really becomes a question of wealth management.

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How do you protect what you've built? That clock

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is ticking. Absolutely. And the decision isn't

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just about whether to expand anymore. It's about

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potentially a radical pivot into a niche market

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or, and this is the really uncomfortable part

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for a lot of folks. A strategic, well -timed

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exit. Right. Not a failure, but a strategic move.

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And we're also going to challenge a core industry

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assumption, something that's been preached for

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decades, really. Which one? The belief that good

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management can somehow overcome fundamentally

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poor structural economics. Good management is

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absolutely essential. Yes, we all agree on that.

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But when you are starting like $10 per hundredweight

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in the hole compared to the competition. Yeah.

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You need more than just great power protocols.

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You can't manage your way out of a fundamental

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cost structure problem of that magnitude. And

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let's be clear, the technological disruption,

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it isn't waiting for anyone. It's already here.

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You mean the alternate proteins? Exactly. We're

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going to reveal just how quickly that market

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is maturing, specifically precision fermentation.

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We're talking about lab -grown milk proteins,

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whey, casein that are molecularly identical to

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the dairy versions. And they're already in products.

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Like right now. Right now, on your grocery store

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shelves today. And this changes the timetable

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for every single long -term capital investment

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decision you might be considering because it

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fundamentally shifts the floor on the price of

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commodity protein, potentially very soon. Okay,

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so the pressure is coming from scale, from cost

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structure, and from new technology. That's a

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lot. It is. So let's dive into the details. Let's

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start with that scale issue, because to really

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understand the structural disadvantage, you have

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to grasp the global drivers first. The data on

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global production is genuinely staggering. It's

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mind blowing, actually. And it's heavily influenced

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by deliberate national policy, particularly in

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Asia. Yeah, you see right there in the numbers,

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five of the world's 10 largest dairy operations

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are now Chinese owned. This isn't just, you know,

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farmers gradually growing their herds. This is

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massive coordinated capital strategy. And when

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we talk scale here, we need to calibrate our

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definition, right? We're not just talking about

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a couple thousand cows anymore. No, not at all.

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Look at the data from IFCN, the International

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Farm Comparison Network, Modern Dairy. the world's

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largest, they manage 472 ,480 cows, almost half

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a million cows. Spread across 47 massive farms.

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Exactly. And then you have China, Shengmu at

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256 ,650. Yili, Iran, Hushan. Yeah. They round

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out that top five list. These aren't just regional

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players. They reflect a deliberate, really aggressive

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national strategy. China's aiming for 70 % milk

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self -sufficiency by 2030. Okay, but let's bring

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it home. Why should the farmer listening in,

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say, Pennsylvania or maybe Wisconsin or even

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down in New Zealand or Ireland, why should they

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care about a Chinese national dairy policy? Because

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milk is fundamentally a global commodity. And

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this massive shift in scale directly impacts

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global pricing and crucially, the demand for

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global whole milk powder. How much impact are

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we talking? China added a huge amount of production,

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11 million metric tons just between 2018 and

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2023. Eleven million tons. That's more milk than

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many entire medium -sized dairy nations produce

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in a year. You got it. And to put that into perspective

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for you listening, that new production, it displaced

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approximately 240 ,000 metric tons of whole milk

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powder imports. Tons they simply don't need to

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buy from external suppliers anymore. And China's

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dairy imports have been huge, right? Over $10

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billion annually in recent years. Exactly. And

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for regions like Oceania, the U .S. places that

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have really relied on that high demand market

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as a crucial growth engine, well, that market

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is shrinking and shrinking fast. So every ton

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they successfully produce at that mega scale

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internally is potentially a price point knocked

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off the global market. It just tightens the margins

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for everyone else competing in that space. And

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this structural shift brings us directly to that

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structural disadvantage in costs we mentioned.

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We need to be really specific about these figures

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because they're stark. When we talk costs, we

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mean costs per hundredweight, hundredweight right,

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hundred pounds of milk. The USDA's Economic Research

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Service, their 2024 cost data comparison, it

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makes the gap crystal clear. Okay, lay it out.

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Operations running 2 ,000 or more cows average

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$23 .06 per hundredweight in total costs. $23

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.06. Okay, $23 .06 for the big guys. Now, what

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about the small to midsize category? The group

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we're saying is most at risk may be that 100

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to 199 cow bracket. For them, the total cost

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jumps to $32 .83 per hundredweight. $32 .83.

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Wow. OK, so the differences. That difference

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is the key figure. $9 .77 per hundred weight

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cost difference, nearly $10. And we have to emphasize

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this. This is a difference that midsize farms

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simply cannot overcome solely with superior management.

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It's just too big a gap. You can optimize your

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feed conversion until you're blue in the face.

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You can run the most perfect parlor sanitation

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program. But if your competition is fundamentally

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starting almost $10 cheaper before that milk

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truck even leaves your driveway. You're fighting

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an uphill battle, a losing battle probably. It's

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not about your capability as a farmer. It's about

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the physics of the economics at that scale. That

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scale penalty, that $9 .77, that is the structural

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reality that's forcing this consolidation. Great

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farmers, really good farmers driven out of business,

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not because they made bad decisions, but simply

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because the economics of their particular scale

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just don't work anymore in this global commodity

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environment. OK, but here's where it gets really

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interesting. And it kind of throws a curveball

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at that simple get big or get out narrative we

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hear so often. How so? Well. While scale clearly

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grants that structural cost advantage we just

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hammered home, it doesn't automatically guarantee

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efficiency or productivity. The data actually

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challenges the assumption that scale automatically

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drives productivity. Wait, really? Yeah, we found

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an incredible 82 % productivity gap among some

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of the world's largest global operations themselves.

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Hold on, wait a minute. You're telling me that

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two dairies, both operating at truly gargantuan

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scale, both with access to... Billions in capital,

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the latest technology. Everything can have an

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82 % difference in milk produced per cow. That's

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what the numbers show. That completely upends

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the idea that if you just pile enough capital

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onto a problem, the efficiencies will just, you

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know, magically materialize. Precisely. Let's

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look at the two extremes highlighted in the analysis.

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Almirai in Saudi Arabia versus Hushan in China.

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Okay. Almirai is consistently hitting 14 .000

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tons of milk per cow annually. 14 tons. And remember,

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this is achieved in harsh desert conditions where

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summer temperatures regularly exceed 50 degrees

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Celsius. That's like 122 Fahrenheit. They've

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invested massively to mitigate that extreme environment.

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OK, 14 tons in the desert. What about Hushan?

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Contrast that with Hushan in China, also operating

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at massive scale, but only managing 7 .70 tons

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per cow. 7 .7 versus 14. That's almost double.

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It's an 82 percent gap. That isn't just a rounding

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error. It's the difference between what's likely

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a highly profitable operation and, well, potentially

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a poorly managed, debt -laden behemoth, despite

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the scale. So what accounts for that huge gap,

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then, if it's not just scale? It's not just the

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cow breed or the feed price, which is where many

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people instinctively look. It boils down to management

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sophistication, detailed protocols, and, crucially,

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human capital. The people running the show. Exactly.

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Almirai, under the leadership of Anthony King

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at the time this data was gathered, achieved

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this by controlling variables that the average

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farm often can't even afford to monitor properly,

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let alone control. Things like maintaining barn

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temperatures at a very strict 21 to 23 degrees

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Celsius. That's 70 to 73 Fahrenheit year round.

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Regardless of the 50 degree desert heat outside.

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That takes serious investment in cooling and

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ventilation. Huge investment. And they also track

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water intake meticulously, providing 300 liters.

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That's nearly 80 gallons of precision chilled

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water per cow every single day. That's just.

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operational excellence. It's applying industrial

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levels of precision to biology. It really shows

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that the largest operation isn't necessarily

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the most successful. The most sophisticated operation

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is. Okay, I'm definitely not buying that scales

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everything anymore. This aligns much better with

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what we actually see on the ground, even domestically.

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Do you have a real world example that comes to

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mind? Yeah, absolutely. I recently spent some

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time touring a couple of dairies out in the Idaho

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Eastern Oregon region. The first was a 600 cow

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dairy. Not huge by today's standards, but really

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well run. They focused fanatically on their transition

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cow management. You know, every single cow got

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exactly the right nutrition mix for that critical

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first 100 days post calving. And their records

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were just immaculate. Everything tracked. And

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the results? They were hitting 13 ,000 pounds

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per cow average, which is phenomenal for that

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size and system. Okay. 13 ,000 pounds at 600

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cows. What about the other dairy? Meanwhile,

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there was a 5 ,000 cow facility just down the

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road. Massive place. Big rotary parlors, automated

00:13:24.799 --> 00:13:27.320
feeders, all the bells and whistles. But they

00:13:27.320 --> 00:13:29.460
were struggling to hit 11 ,000 pounds per cow.

00:13:29.700 --> 00:13:33.879
5 ,000 cows struggling at 11 ,000 pounds. Why?

00:13:34.240 --> 00:13:36.759
High staff turnover was a big issue. Inconsistent

00:13:36.759 --> 00:13:39.740
fresh cow protocols. Things just weren't being

00:13:39.740 --> 00:13:41.820
done the same way every time across all the shifts.

00:13:42.019 --> 00:13:44.460
And frankly, the expense of technology was running

00:13:44.460 --> 00:13:46.399
way below its potential because the management

00:13:46.399 --> 00:13:47.980
team just couldn't maintain that consistency

00:13:47.980 --> 00:13:51.139
across such a vast operation. The tech ended

00:13:51.139 --> 00:13:53.679
up being a very, very expensive paperweight in

00:13:53.679 --> 00:13:56.379
some ways. So the key takeaway here feels a bit

00:13:56.379 --> 00:13:59.850
nuanced then. Scale does grant that huge structural

00:13:59.850 --> 00:14:03.210
cost advantage. We talked about the $9 .77, the

00:14:03.210 --> 00:14:06.450
ability to buy inputs cheap, amortize debt over

00:14:06.450 --> 00:14:08.649
massive volume. Right. That part is undeniable.

00:14:08.809 --> 00:14:10.730
But scale does not guarantee productivity or

00:14:10.730 --> 00:14:13.250
efficiency. Sophisticated management. Really

00:14:13.250 --> 00:14:15.730
tight protocols. And that integration of technology

00:14:15.730 --> 00:14:18.289
with skilled people, the human and protocol capital,

00:14:18.389 --> 00:14:20.250
that still matters more than just the cow count

00:14:20.250 --> 00:14:22.850
alone. So if you are a mid -sized farm, maybe

00:14:22.850 --> 00:14:25.909
a thousand cows, with truly superior management,

00:14:26.269 --> 00:14:28.470
your challenge isn't necessarily that the guy

00:14:28.470 --> 00:14:30.990
with 500 ,000 cows is inherently a better farmer.

00:14:31.169 --> 00:14:35.690
No, probably not. It's that $9 .77 cost gap that

00:14:35.690 --> 00:14:38.629
the mega operation achieves. If... And it's a

00:14:38.629 --> 00:14:41.230
big if they manage to get their Almarai level

00:14:41.230 --> 00:14:43.289
management systems working right. The irony is

00:14:43.289 --> 00:14:45.309
maybe the biggest competitor to the well -managed

00:14:45.309 --> 00:14:48.330
500 -cow farm isn't just any 5 ,000 -cow farm.

00:14:48.470 --> 00:14:51.470
It's the highly efficient, incredibly well -managed

00:14:51.470 --> 00:14:54.330
5 ,000 -cow farm that has successfully solved

00:14:54.330 --> 00:14:57.220
that management puzzle at scale. That's the real

00:14:57.220 --> 00:15:00.240
threat. OK, let's break down that $9 .77 per

00:15:00.240 --> 00:15:01.980
hundredweight difference again, because this

00:15:01.980 --> 00:15:03.779
is where the conversation really needs to shift

00:15:03.779 --> 00:15:06.559
from just management philosophy to the hard,

00:15:06.580 --> 00:15:09.580
cold economic reality. When a farmer hears a

00:15:09.580 --> 00:15:14.539
$9 .77 cost gap. the immediate reaction, understandably,

00:15:14.580 --> 00:15:17.000
is often, okay, I need to cut my feed cost. Or

00:15:17.000 --> 00:15:19.600
maybe I need to improve my genetics for better

00:15:19.600 --> 00:15:21.639
feed efficiency. Yeah, that's the conventional

00:15:21.639 --> 00:15:23.720
wisdom, right? Because feed is usually the largest

00:15:23.720 --> 00:15:25.899
variable cost on the farm. But let's just bust

00:15:25.899 --> 00:15:28.159
that myth right now. Good. Dr. Mark Stevenson's

00:15:28.159 --> 00:15:30.299
research out of the University of Wisconsin Center

00:15:30.299 --> 00:15:32.960
for Dairy Profitability, it shows that feed cost

00:15:32.960 --> 00:15:35.340
differences, while they are significant, especially

00:15:35.340 --> 00:15:38.159
due to bulk purchasing power and maybe feed self

00:15:38.159 --> 00:15:40.879
-sufficiency on the huge farms, they only account

00:15:40.879 --> 00:15:44.259
for about $2 .50 of that nearly $10 gap. Only

00:15:44.259 --> 00:15:48.100
$2 .50. Roughly, yes. So optimizing your feed

00:15:48.100 --> 00:15:50.399
program, absolutely necessary. You have to do

00:15:50.399 --> 00:15:52.639
it. But it's nowhere near sufficient to close

00:15:52.639 --> 00:15:56.059
that entire gap. Not even close. So where's the

00:15:56.059 --> 00:15:59.019
rest of it coming from? The other, what, $7 .27

00:15:59.019 --> 00:16:02.960
per hundredweight? This has to be the core structural

00:16:02.960 --> 00:16:05.220
disadvantage we keep circling back to. It is.

00:16:05.279 --> 00:16:08.100
And it's pure physics of fixed costs. It's all

00:16:08.100 --> 00:16:10.080
about spreading those massive fixed infrastructure

00:16:10.080 --> 00:16:12.600
investments. Like what? Like the huge rotary

00:16:12.600 --> 00:16:14.480
milking parlor that costs millions, the dense

00:16:14.480 --> 00:16:16.779
manure handling systems, the land amortization,

00:16:17.059 --> 00:16:20.299
the interest payments on massive loans. Spreading

00:16:20.299 --> 00:16:22.299
all of that across massive, massive production

00:16:22.299 --> 00:16:24.580
volume. Let's drill down on some of those components.

00:16:25.000 --> 00:16:28.799
Think about financing. A smaller operation building,

00:16:29.100 --> 00:16:32.159
say a new Thai skull barn, or even a mid -sized

00:16:32.159 --> 00:16:35.039
parallel parlor, they might finance that at standard

00:16:35.039 --> 00:16:37.980
bank rates maybe over 15 or 20 years. Right.

00:16:38.269 --> 00:16:40.350
Pretty standard stuff. But a mega dairy, often

00:16:40.350 --> 00:16:42.450
backed by institutional investors, are getting

00:16:42.450 --> 00:16:45.029
loans from national banks or even government

00:16:45.029 --> 00:16:47.409
linked banks in some countries. They can often

00:16:47.409 --> 00:16:50.070
secure much lower interest rates, sometimes a

00:16:50.070 --> 00:16:52.190
full percentage point lower or even more. Why

00:16:52.190 --> 00:16:54.610
lower rates? Because the debt is perceived as

00:16:54.610 --> 00:16:57.370
safer. You've got huge collateral value, maybe

00:16:57.370 --> 00:16:59.990
diversified income streams beyond just milk.

00:17:00.330 --> 00:17:03.009
That interest rate difference alone, compounded

00:17:03.009 --> 00:17:05.589
over the 20 year depreciation schedule of a facility,

00:17:05.769 --> 00:17:08.680
accounts for a significant. chunk of that $7

00:17:08.680 --> 00:17:11.220
.27. That makes sense. And think about specialized

00:17:11.220 --> 00:17:14.160
equipment too, like robotic milking systems.

00:17:14.480 --> 00:17:17.720
A single robot might cost, what, $200 ,000? And

00:17:17.720 --> 00:17:19.920
maybe it serves 60 cows effectively on a smaller

00:17:19.920 --> 00:17:22.539
farm? That works out to over $3 ,300 in initial

00:17:22.539 --> 00:17:24.740
capital cost per cow just for the milking unit.

00:17:24.839 --> 00:17:27.500
Okay, now compare that. Compare that to a massive

00:17:27.500 --> 00:17:29.839
new rotary parlor. Maybe it costs $3 million,

00:17:30.140 --> 00:17:32.750
a huge number. But if it can efficiently milk

00:17:32.750 --> 00:17:36.170
3 ,000 cows working three shifts a day, the capital

00:17:36.170 --> 00:17:38.630
cost per cow for the milking infrastructure drops

00:17:38.630 --> 00:17:41.490
exponentially, maybe down to $1 ,000 per cow

00:17:41.490 --> 00:17:44.500
or even less. That massive difference in capital

00:17:44.500 --> 00:17:47.240
costs per cow, that economy of scale in the infrastructure

00:17:47.240 --> 00:17:50.319
itself, that's fundamentally what that $7 .00

00:17:50.319 --> 00:17:52.460
represents. Exactly. And when your fixed costs

00:17:52.460 --> 00:17:54.920
become such a huge driver of your total cost

00:17:54.920 --> 00:17:57.640
in a global commodity market, smaller operations

00:17:57.640 --> 00:18:00.440
just face this structural disadvantage that even

00:18:00.440 --> 00:18:02.880
brilliant management excellence simply cannot

00:18:02.880 --> 00:18:05.140
bridge on its own. Let's try to quantify the

00:18:05.140 --> 00:18:07.279
pain for the listener. For a representative,

00:18:07.480 --> 00:18:10.680
say, 1 ,000 cow upper Midwest operation, maybe

00:18:10.680 --> 00:18:13.180
producing around 23 million pounds of milk annually,

00:18:13.359 --> 00:18:16.720
that's $7 .27 per hundredweight structural disadvantage.

00:18:16.880 --> 00:18:19.079
That translates to an additional cost burden

00:18:19.079 --> 00:18:22.019
of somewhere between $690 ,000 and $920 ,000

00:18:22.019 --> 00:18:24.339
every single year compared to their mega competitors

00:18:24.339 --> 00:18:27.279
who have those lower fixed costs per unit. $690

00:18:27.279 --> 00:18:31.319
,000 to $920 ,000 annually. That amount often

00:18:31.319 --> 00:18:34.380
exceeds the total historical profit margins for

00:18:34.380 --> 00:18:37.680
well -run 1 ,000 -cow dairy in many years. So

00:18:37.680 --> 00:18:39.500
we aren't just talking about the difference between

00:18:39.500 --> 00:18:41.619
having a good year and a bad year anymore. No.

00:18:41.950 --> 00:18:44.250
We are talking about the potential difference

00:18:44.250 --> 00:18:47.829
between basic existence and outright insolvency.

00:18:47.849 --> 00:18:49.730
And again, it's often not a failure of farming

00:18:49.730 --> 00:18:52.329
skill. It's an economic failure being enforced

00:18:52.329 --> 00:18:55.130
by the sheer unyielding math of global market

00:18:55.130 --> 00:18:57.450
dynamics and capital amortization schedules.

00:18:57.690 --> 00:19:00.349
And circling back globally, China's stated ambition

00:19:00.349 --> 00:19:03.809
to exceed 10 tons per cow yields nationally.

00:19:04.660 --> 00:19:06.799
That's the hammer that's driving this consolidation

00:19:06.799 --> 00:19:09.920
even faster. Because if they hit that goal and

00:19:09.920 --> 00:19:12.140
they continue to displace those hundreds of thousands

00:19:12.140 --> 00:19:14.299
of tons of whole milk powder imports that the

00:19:14.299 --> 00:19:16.079
rest of the world used to sell them. The global

00:19:16.079 --> 00:19:18.079
price floor just gets lowered for everyone. Less

00:19:18.079 --> 00:19:21.339
demand, same or growing supply. Prices fall.

00:19:21.519 --> 00:19:24.220
Which brings us back inevitably to that financial

00:19:24.220 --> 00:19:26.900
imperative of strategic timing that 18 month

00:19:26.900 --> 00:19:29.079
window we started with. This is what we could

00:19:29.079 --> 00:19:31.920
call the exit cost or maybe the cost of delaying

00:19:31.920 --> 00:19:34.259
the exit. Explain that. Waiting for the market

00:19:34.259 --> 00:19:36.720
to rebound, hoping things will get better. It

00:19:36.720 --> 00:19:38.700
might feel like the responsible thing to do,

00:19:38.759 --> 00:19:42.319
the optimistic thing. But financially, in this

00:19:42.319 --> 00:19:44.059
structural environment, it could be ruinous.

00:19:44.579 --> 00:19:47.579
Exiting now or planning an exit now while your

00:19:47.579 --> 00:19:50.440
assets are still performing reasonably well before

00:19:50.440 --> 00:19:52.980
you rack up prolonged periods of negative cash

00:19:52.980 --> 00:19:57.279
flow. That's how you preserve maybe 85 to 90

00:19:57.279 --> 00:19:59.779
percent of your farm's historical equity. And

00:19:59.779 --> 00:20:02.519
the danger is waiting too long. Waiting that

00:20:02.519 --> 00:20:05.400
12 or 18 months or even longer. Exactly. If you

00:20:05.400 --> 00:20:07.519
endure another down cycle, maybe another year

00:20:07.519 --> 00:20:10.319
or two of these structural losses, that preserved

00:20:10.319 --> 00:20:13.619
equity might drop to only 70 or 80 percent. And

00:20:13.619 --> 00:20:15.960
if things get really bad, if a producer is forced

00:20:15.960 --> 00:20:18.220
into a liquidation sale after years of operating

00:20:18.220 --> 00:20:20.740
in the red? Then they might retain only 20 to

00:20:20.740 --> 00:20:22.940
30 percent of their original equity. Everything

00:20:22.940 --> 00:20:25.099
gets sold off cheap because buyers know they're

00:20:25.099 --> 00:20:28.119
desperate. The difference is literally preserving

00:20:28.119 --> 00:20:30.819
your retirement nest egg versus potentially losing

00:20:30.819 --> 00:20:33.619
your entire generational investment. So the strategic

00:20:33.619 --> 00:20:37.779
move, the tough but maybe necessary move, is

00:20:37.779 --> 00:20:40.799
recognizing that the decision to exit, if it

00:20:40.799 --> 00:20:43.180
comes to that, is a business decision, not some

00:20:43.180 --> 00:20:45.940
kind of personal failure. And the timing of that

00:20:45.940 --> 00:20:49.019
decision is absolutely everything. Let's look

00:20:49.019 --> 00:20:51.039
a bit more at how technology plays into this

00:20:51.039 --> 00:20:52.740
whole picture, because you mentioned it earlier.

00:20:52.799 --> 00:20:54.359
It's kind of a double edged sword, isn't it?

00:20:54.400 --> 00:20:57.200
It really is. Technology offers this incredible

00:20:57.200 --> 00:21:01.019
promise of hyper efficiency, precision, maybe

00:21:01.019 --> 00:21:03.799
reducing labor needs. So human capital having

00:21:03.799 --> 00:21:07.410
the right skilled. people remains the major constraint

00:21:07.410 --> 00:21:09.509
that often limits its effectiveness, especially

00:21:09.509 --> 00:21:11.789
on a global scale. Yeah. Remember that example

00:21:11.789 --> 00:21:14.490
you gave? Beijing, San Yuan achieving over 11

00:21:14.490 --> 00:21:18.430
,500 kilograms per cow annually. That's huge

00:21:18.430 --> 00:21:21.089
production. Right. And the key point was they

00:21:21.089 --> 00:21:23.710
didn't just buy better cows or find some magic

00:21:23.710 --> 00:21:26.269
feed ingredient. They systematically adopted

00:21:26.269 --> 00:21:28.890
Israeli management systems. They essentially

00:21:28.890 --> 00:21:31.589
bought an entire operational expertise package,

00:21:31.690 --> 00:21:34.230
the whole system. That is the crucial distinction,

00:21:34.410 --> 00:21:36.390
isn't it? They didn't just buy the tech. They

00:21:36.390 --> 00:21:38.670
bought the system and the know -how to actually

00:21:38.670 --> 00:21:41.170
run it effectively. And this really highlights

00:21:41.170 --> 00:21:43.609
the paradox we see everywhere. The technology

00:21:43.609 --> 00:21:46.569
is only truly beneficial if you have the deep

00:21:46.569 --> 00:21:49.410
expertise to utilize its full potential. And

00:21:49.410 --> 00:21:52.569
many operations, large and small, simply lack

00:21:52.569 --> 00:21:55.210
that specific high -level expertise. And you

00:21:55.210 --> 00:21:57.339
had data on that in China. Yeah, the paradox

00:21:57.339 --> 00:21:59.980
being quantified. Chinese ministry data showed

00:21:59.980 --> 00:22:02.980
that only about 7 % of their skilled dairy workers

00:22:02.980 --> 00:22:06.079
possess the really high level capabilities needed

00:22:06.079 --> 00:22:09.619
for these complex automated dairy systems. 7%.

00:22:09.619 --> 00:22:12.099
Wow. So there's this massive mismatch between

00:22:12.099 --> 00:22:15.059
the capital being invested in tech and the human

00:22:15.059 --> 00:22:17.359
expertise available to run it properly. And this

00:22:17.359 --> 00:22:19.740
isn't just a China problem. This capital expertise

00:22:19.740 --> 00:22:22.079
mismatch is pretty pervasive, even in established

00:22:22.079 --> 00:22:24.980
dairy regions like North America or Europe. Think

00:22:24.980 --> 00:22:27.190
about that. really high -performing manager you

00:22:27.190 --> 00:22:29.589
mentioned earlier, the one on the 600 -cow Pennsylvania

00:22:29.589 --> 00:22:32.529
farm hitting 13 ,000 pounds. Yeah, great manager.

00:22:32.789 --> 00:22:35.589
That individual is clearly highly skilled, deeply

00:22:35.589 --> 00:22:38.609
knowledgeable about cow health, nutrition, reproduction,

00:22:38.990 --> 00:22:42.109
but they likely lack access to the capital needed

00:22:42.109 --> 00:22:44.789
for the really advanced monitoring systems, the

00:22:44.789 --> 00:22:47.289
fully automated feeding, the full -scale data

00:22:47.289 --> 00:22:49.769
analytics platforms. Right. The farm size might

00:22:49.769 --> 00:22:52.640
not justify the million -dollar investment. Exactly.

00:22:53.019 --> 00:22:55.940
Meanwhile, the 5 ,000 -cow facility down the

00:22:55.940 --> 00:22:58.519
road, they can afford the million -dollar technology

00:22:58.519 --> 00:23:02.079
package. But maybe they can't find or afford,

00:23:02.339 --> 00:23:05.200
or maybe crucially, retain the high -level management

00:23:05.200 --> 00:23:07.660
expertise needed to consistently interpret all

00:23:07.660 --> 00:23:10.619
that data correctly and enforce the complex protocols

00:23:10.619 --> 00:23:13.140
across multiple shifts and hundreds of employees.

00:23:13.839 --> 00:23:16.019
So the expense of technology just runs at, say,

00:23:16.099 --> 00:23:19.039
60 or 70 percent efficiency. Pretty much. Which

00:23:19.039 --> 00:23:21.599
negates a big chunk of the expected cost savings

00:23:21.599 --> 00:23:24.119
or productivity gains. Yeah. The tech doesn't

00:23:24.119 --> 00:23:26.000
deliver its promise. So the lesson seems to be

00:23:26.000 --> 00:23:28.559
capital constraints often prevent smaller farms

00:23:28.559 --> 00:23:30.980
from accessing the cutting edge technology, while

00:23:30.980 --> 00:23:33.079
human capital constraints often prevent the really

00:23:33.079 --> 00:23:35.180
large farms from realizing that technology's

00:23:35.180 --> 00:23:38.420
full potential. And the missing middle, the 500

00:23:38.420 --> 00:23:42.549
to 2000 cow farms. They often have the best management

00:23:42.549 --> 00:23:45.569
expertise per cow, perhaps, but the structural

00:23:45.569 --> 00:23:48.710
economics prevent them from effectively scaling

00:23:48.710 --> 00:23:50.609
that expertise with the high -end technology.

00:23:50.930 --> 00:23:53.410
They're caught again. Okay, let's pivot slightly

00:23:53.410 --> 00:23:55.609
to the environmental dimension, because scale

00:23:55.609 --> 00:23:58.170
complicates things massively there, too, particularly

00:23:58.170 --> 00:24:01.490
waste management. Oh, absolutely. A 2 ,000 cow

00:24:01.490 --> 00:24:04.630
operation generates a staggering amount of manure.

00:24:04.829 --> 00:24:09.130
The analysis says 87 .6 million pounds annually.

00:24:09.549 --> 00:24:11.789
87 million pounds. That's like a quarter million

00:24:11.789 --> 00:24:14.609
pounds every single day. Managing that requires

00:24:14.609 --> 00:24:17.029
industrialized, highly sophisticated systems.

00:24:17.089 --> 00:24:19.190
You can't just spread that daily with a small

00:24:19.190 --> 00:24:21.509
spreader. And the method of storage and handling

00:24:21.509 --> 00:24:23.890
matters hugely for emissions, particularly methane.

00:24:24.150 --> 00:24:26.089
Yeah. The World Resources Institute and others

00:24:26.089 --> 00:24:28.410
point this out. The large liquid storage systems.

00:24:28.880 --> 00:24:31.299
the big lagoons or tanks that are common on large

00:24:31.299 --> 00:24:33.079
farms while they are efficient for handling that

00:24:33.079 --> 00:24:35.460
massive volume, they tend to generate substantially

00:24:35.460 --> 00:24:38.599
more methane compared to, say, daily spread approaches

00:24:38.599 --> 00:24:40.759
common on smaller farms where the manure gets

00:24:40.759 --> 00:24:43.339
incorporated into the soil much faster. So there's

00:24:43.339 --> 00:24:45.480
a critical environmental tradeoff right there.

00:24:45.940 --> 00:24:48.339
Operational convenience of the lagoon versus

00:24:48.339 --> 00:24:50.980
higher methane output. But here's the kicker.

00:24:51.000 --> 00:24:54.269
The scale advantage comes back again. Scale allows

00:24:54.269 --> 00:24:57.569
for a very capital intensive solution that can

00:24:57.569 --> 00:25:00.650
actually turn that massive waste problem into

00:25:00.650 --> 00:25:02.869
a potential revenue center. You're talking about

00:25:02.869 --> 00:25:05.890
biogas digesters. Exactly. Biogas digesters are

00:25:05.890 --> 00:25:08.230
tremendously expensive. We're talking a $2 million

00:25:08.230 --> 00:25:11.390
to $5 million investment up front. And they only

00:25:11.390 --> 00:25:13.670
really become economically viable at that 5 ,000

00:25:13.670 --> 00:25:15.609
cal threshold. That's higher. Even higher, right?

00:25:15.630 --> 00:25:17.910
Because you need that massive consistent flow

00:25:17.910 --> 00:25:20.650
of manure feedstock to justify the huge initial

00:25:20.650 --> 00:25:22.920
capital costs and the operating costs. Right.

00:25:23.019 --> 00:25:24.799
And we are seeing this being utilized globally

00:25:24.799 --> 00:25:27.720
now, especially where there are incentives. Yuran

00:25:27.720 --> 00:25:29.859
Dairy in China, one of the giants, reportedly

00:25:29.859 --> 00:25:33.000
operates nine large -scale biogas facilities.

00:25:33.140 --> 00:25:35.160
So they're taking what used to be a massive cost

00:25:35.160 --> 00:25:37.980
center, manure handling and disposal, and turning

00:25:37.980 --> 00:25:40.380
it into a revenue generator. Potentially, yes.

00:25:40.980 --> 00:25:43.619
Generating electricity to use on -farm or sell

00:25:43.619 --> 00:25:46.259
to the grid, producing high -quality bedding

00:25:46.259 --> 00:25:49.460
or fertilizer byproducts, and crucially, in some

00:25:49.460 --> 00:25:51.980
markets, securing valuable carbon credits or

00:25:51.980 --> 00:25:55.140
renewable energy credits. That is a scale -dependent

00:25:55.140 --> 00:25:58.140
advantage that the 1 ,000 -cow operation simply

00:25:58.140 --> 00:26:01.619
cannot access financially. They're forced to

00:26:01.619 --> 00:26:04.359
stick with the less climate -friendly, maybe,

00:26:04.460 --> 00:26:07.559
but much cheaper liquid storage solutions, or

00:26:07.559 --> 00:26:10.349
find other less intensive methods. And that reminds

00:26:10.349 --> 00:26:12.569
me of something else often ignored in policy

00:26:12.569 --> 00:26:15.269
discussions. It's about intensity versus absolute

00:26:15.269 --> 00:26:17.829
emissions. Explain that. Well, while those very

00:26:17.829 --> 00:26:20.089
large farms, if they install a multimillion -dollar

00:26:20.089 --> 00:26:22.549
digester, might achieve better emissions intensity,

00:26:22.829 --> 00:26:25.029
meaning they produce less carbon emission per

00:26:25.029 --> 00:26:27.349
gallon or per hundredweight of milk produced.

00:26:27.589 --> 00:26:28.950
Because they're capturing the methane. Right.

00:26:29.049 --> 00:26:31.609
But smaller farms, particularly maybe a well

00:26:31.609 --> 00:26:34.710
-managed 200 -cow grass -based operation, say

00:26:34.710 --> 00:26:37.130
in Vermont or Ireland, they often have lower

00:26:37.130 --> 00:26:39.400
absolute emissions overall, just less. total

00:26:39.400 --> 00:26:41.759
pollution. Because they simply aren't concentrating

00:26:41.759 --> 00:26:44.720
massive waste streams into those methane -producing

00:26:44.720 --> 00:26:46.559
lagoons in the first place. Right. Their whole

00:26:46.559 --> 00:26:49.539
system footprint might be smaller. Exactly. And

00:26:49.539 --> 00:26:52.220
when policymakers only focus on intensity metrics,

00:26:52.559 --> 00:26:55.059
which often favor the large scale with digesters,

00:26:55.200 --> 00:26:58.000
they can inadvertently disadvantage the smaller,

00:26:58.119 --> 00:27:01.079
often lower, absolute emitter. It's a nuance

00:27:01.079 --> 00:27:03.859
that gets lost. So scale presents both the highest

00:27:03.859 --> 00:27:06.640
environmental risk, think massive methane from

00:27:06.640 --> 00:27:09.539
undigested lagoons and potentially the highest

00:27:09.539 --> 00:27:12.420
reward if you can afford the biogas monetization.

00:27:12.720 --> 00:27:15.339
But that requires that two to five million dollar

00:27:15.339 --> 00:27:17.539
capital investment. And the missing middle is

00:27:17.539 --> 00:27:20.180
truly trapped again. They've got too much manure

00:27:20.180 --> 00:27:22.900
to manage easily through traditional daily spread,

00:27:23.059 --> 00:27:25.880
perhaps, but nowhere near enough scale to make

00:27:25.880 --> 00:27:28.650
a digester pencil out financially. Stuck again.

00:27:28.789 --> 00:27:30.910
OK, now we have to talk about the elephant in

00:27:30.910 --> 00:27:32.829
the room or maybe the microbe in the bioreactor.

00:27:32.890 --> 00:27:35.670
The thing that makes that 18 month decision window

00:27:35.670 --> 00:27:38.009
feel even more urgent. Yeah. While we're all

00:27:38.009 --> 00:27:40.710
intensely focused on cow numbers, feed costs,

00:27:41.009 --> 00:27:44.029
parlor efficiency, the truly massive disruption

00:27:44.029 --> 00:27:46.390
might be happening completely outside the farm

00:27:46.390 --> 00:27:48.589
gate in labs. You're talking about precision

00:27:48.589 --> 00:27:52.529
fermentation, PF. Exactly. And the key message

00:27:52.529 --> 00:27:56.700
here is. This is not some far -off sci -fi future

00:27:56.700 --> 00:27:59.720
threat. It is a current reality that absolutely

00:27:59.720 --> 00:28:03.059
must be integrated into every single dairy farmer's

00:28:03.059 --> 00:28:06.079
long -term strategic planning. Okay, let's define

00:28:06.079 --> 00:28:08.240
PF clearly again, just so everyone's on the same

00:28:08.240 --> 00:28:10.700
page. Because it often gets confused with things

00:28:10.700 --> 00:28:12.980
like oat milk or almond milk, which are plant

00:28:12.980 --> 00:28:15.710
-based drinks. Right. This is different. PF uses

00:28:15.710 --> 00:28:18.910
microflora things like specialized yeast or fungi,

00:28:19.230 --> 00:28:22.369
essential programming them to act as microstopic

00:28:22.369 --> 00:28:25.390
cellular factories. Factories for what? Factories

00:28:25.390 --> 00:28:28.309
to produce specific targeted proteins. In this

00:28:28.309 --> 00:28:31.470
case, actual whey and casein proteins. The proteins

00:28:31.470 --> 00:28:33.450
that give milk its unique functional and nutritional

00:28:33.450 --> 00:28:35.849
properties. And critically, these proteins are

00:28:35.849 --> 00:28:38.089
chemically and molecularly identical to the proteins

00:28:38.089 --> 00:28:40.759
that come from a cow. But the process bypasses

00:28:40.759 --> 00:28:43.759
the animal entirely. No cows involved in making

00:28:43.759 --> 00:28:46.160
the protein itself. And the market is definitely

00:28:46.160 --> 00:28:48.940
reacting to this technological leap. You just

00:28:48.940 --> 00:28:51.240
have to follow the money. The Good Food Institute

00:28:51.240 --> 00:28:53.900
tracks this sector and they project it growing

00:28:53.900 --> 00:28:59.160
incredibly rapidly towards $36 .31 billion globally

00:28:59.160 --> 00:29:03.990
by 2030. $36 billion? Yeah. from basically zero

00:29:03.990 --> 00:29:06.890
just a few years ago. Yeah, representing an astounding

00:29:06.890 --> 00:29:09.089
compound annual growth rate of something like

00:29:09.089 --> 00:29:13.109
48 .6%. The venture capital, the food giants,

00:29:13.210 --> 00:29:15.589
they are pouring money into this because they

00:29:15.589 --> 00:29:17.630
see the future potential. And the products are

00:29:17.630 --> 00:29:20.190
already commercial, you said, not just lab experiments.

00:29:20.529 --> 00:29:22.609
Absolutely. Commercial scale production is happening

00:29:22.609 --> 00:29:24.890
right now. Companies like Perfect Day are leading

00:29:24.890 --> 00:29:27.390
the charge, producing these non -animal whey

00:29:27.390 --> 00:29:29.369
proteins. So where would a consumer actually

00:29:29.369 --> 00:29:31.539
find these? Well, if you've ever tried Brave

00:29:31.539 --> 00:29:33.660
Robot ice cream, for example, or maybe seen the

00:29:33.660 --> 00:29:35.799
California Performance Co. protein powders or

00:29:35.799 --> 00:29:38.839
some specific cream cheese alternatives, you

00:29:38.839 --> 00:29:41.279
are consuming precision with fermentation -derived

00:29:41.279 --> 00:29:43.980
whey protein. And the consumer often can't tell

00:29:43.980 --> 00:29:47.299
the difference. Generally not, because molecularly

00:29:47.299 --> 00:29:49.759
it is the same protein. The functionality, how

00:29:49.759 --> 00:29:52.240
it whips, how it tastes, how it performs in a

00:29:52.240 --> 00:29:54.920
food product is designed to be identical. The

00:29:54.920 --> 00:29:56.619
investment levels confirm the viability too,

00:29:56.680 --> 00:29:59.559
right? Sure. We're tracking over $840 million

00:29:59.559 --> 00:30:02.700
flowing into these PF dairy protein technologies

00:30:02.700 --> 00:30:05.660
just in the last couple of years, backed by major

00:30:05.660 --> 00:30:08.119
institutional investors, big food companies,

00:30:08.200 --> 00:30:11.559
tech investors. They are betting big that PF

00:30:11.559 --> 00:30:14.539
will significantly disrupt, if not eventually

00:30:14.539 --> 00:30:17.460
replace large parts of the commodity dairy protein

00:30:17.460 --> 00:30:19.460
sector. And that's the key term there, isn't

00:30:19.460 --> 00:30:22.119
it? Commodity protein, whey protein concentrate,

00:30:22.420 --> 00:30:25.319
caseinates, the basic building blocks. Exactly.

00:30:25.420 --> 00:30:27.640
And the cost curves are really the critical factor

00:30:27.640 --> 00:30:30.259
here. The projections from groups like RethinkX

00:30:30.259 --> 00:30:32.640
and others suggest potential price parity between

00:30:32.640 --> 00:30:35.519
PF -derived proteins and conventional dairy proteins

00:30:35.519 --> 00:30:38.460
sometime around 2027 or 2028. Price parity in

00:30:38.460 --> 00:30:40.500
just three or four years. That's incredibly fast.

00:30:40.779 --> 00:30:44.059
It is. And if they hit that target, And the speed

00:30:44.059 --> 00:30:46.500
of technological improvement in biotech suggests

00:30:46.500 --> 00:30:49.500
they have a good shot. The projections are they

00:30:49.500 --> 00:30:52.940
could capture maybe 25 percent, a quarter of

00:30:52.940 --> 00:30:55.740
the entire commodity dairy protein market by

00:30:55.740 --> 00:30:59.220
2035. 25 percent market share gone to non -animal

00:30:59.220 --> 00:31:01.859
sources within about a decade. That's the potential

00:31:01.859 --> 00:31:04.039
disruption we're looking at. And it's fascinating

00:31:04.039 --> 00:31:06.180
to think about the competitive advantages PF

00:31:06.180 --> 00:31:09.200
has beyond just the eventual price point. Like

00:31:09.200 --> 00:31:11.619
what? Well, first, think about supply chain stability.

00:31:12.019 --> 00:31:15.660
No droughts affecting feed crops. No heat stress

00:31:15.660 --> 00:31:18.619
impacting milk yield. No major disease outbreaks

00:31:18.619 --> 00:31:21.779
wiping out herds. No volatility in feed prices

00:31:21.779 --> 00:31:24.420
impacting cost of production. It's a much more

00:31:24.420 --> 00:31:26.920
predictable, controllable industrial process.

00:31:27.119 --> 00:31:29.160
Okay, stability. What else? Second, customization.

00:31:29.299 --> 00:31:31.559
They can potentially engineer the protein profile

00:31:31.559 --> 00:31:34.559
exactly how a food manufacturer wants it. Maybe

00:31:34.559 --> 00:31:37.180
more beta -lactoglobulin, less alpha -lactobimin,

00:31:37.240 --> 00:31:39.039
whatever is needed for a specific application.

00:31:39.339 --> 00:31:42.000
Third, the environmental footprint, particularly

00:31:42.000 --> 00:31:45.279
land and water use. A precision fermentation

00:31:45.279 --> 00:31:48.579
facility producing protein uses a tiny fraction

00:31:48.579 --> 00:31:50.960
of the land and water required for traditional

00:31:50.960 --> 00:31:53.519
animal agriculture to produce the same amount

00:31:53.519 --> 00:31:56.680
of protein. That's a huge selling point for ESG

00:31:56.680 --> 00:31:59.079
-conscious investors and consumers. So even if

00:31:59.079 --> 00:32:02.200
the price is only equal to commodity dairy, just

00:32:02.200 --> 00:32:05.470
reaching parity. investors and large food companies

00:32:05.470 --> 00:32:07.730
might still favor the lower risk, more stable,

00:32:07.930 --> 00:32:10.650
more customizable, and arguably more sustainable

00:32:10.650 --> 00:32:13.910
PF supply chain. That inherent advantage could

00:32:13.910 --> 00:32:16.329
drive adoption even faster than price alone would

00:32:16.329 --> 00:32:18.509
suggest. So the takeaway for the farmer listening

00:32:18.509 --> 00:32:21.650
is, if you are making major infrastructure investments

00:32:21.650 --> 00:32:24.109
today, planning a new parlor, maybe a new heifer

00:32:24.109 --> 00:32:26.930
barn, anything with a 20 or 30 year depreciation

00:32:26.930 --> 00:32:28.829
schedule. You absolutely have to factor this

00:32:28.829 --> 00:32:30.569
into your long -term planning. You have to operate

00:32:30.569 --> 00:32:32.710
under the assumption that in the latter half

00:32:32.710 --> 00:32:34.809
of the next decade, a significant chunk of the

00:32:34.809 --> 00:32:36.869
value of your commodity milk the protein component

00:32:36.869 --> 00:32:39.529
is going to be competing directly against a lab

00:32:39.529 --> 00:32:42.329
produced molecularly identical product that might

00:32:42.329 --> 00:32:44.569
be cheaper or at least price competitive and

00:32:44.569 --> 00:32:47.210
more stable. That has to factor into your return

00:32:47.210 --> 00:32:50.650
on investment calculations. Does this investment

00:32:50.650 --> 00:32:55.089
still make sense if the baseline commodity protein

00:32:55.089 --> 00:32:58.160
value drops significantly? It's a crucial question.

00:32:58.500 --> 00:33:01.440
And while the U .S. regulatory environment often

00:33:01.440 --> 00:33:04.680
lags or is, let's say, reactive, we really need

00:33:04.680 --> 00:33:06.579
to look towards Europe for a potential preview

00:33:06.579 --> 00:33:08.960
of policy trends because things that happen there

00:33:08.960 --> 00:33:11.599
often foreshadow global shifts. What are you

00:33:11.599 --> 00:33:14.200
seeing in Europe specifically? Well, the EU's

00:33:14.200 --> 00:33:16.660
overarching farm -to -fork strategy is pushing

00:33:16.660 --> 00:33:19.779
hard towards specific targets, like aiming for

00:33:19.779 --> 00:33:22.640
25 % of agricultural land under organic production

00:33:22.640 --> 00:33:26.019
by 2030. That creates a massive potential premium

00:33:26.019 --> 00:33:27.720
market for those who can meet the standards,

00:33:27.940 --> 00:33:30.720
but it also inevitably raises compliance costs

00:33:30.720 --> 00:33:33.519
and pressures for conventional farms. Okay, organic

00:33:33.519 --> 00:33:36.019
push. What else? But the truly drastic measure,

00:33:36.140 --> 00:33:37.940
the one that really shows the level of intervention

00:33:37.940 --> 00:33:39.980
possible, is what's happening in the Netherlands.

00:33:40.160 --> 00:33:42.259
The nitrogen issue. Exactly. The Dutch government...

00:33:42.509 --> 00:33:45.970
allocated a staggering $25 billion billion with

00:33:45.970 --> 00:33:48.910
a B specifically for livestock farm buyouts.

00:33:49.069 --> 00:33:51.369
They're paying farmers to leave the industry.

00:33:51.589 --> 00:33:54.250
Essentially, yes. It's state -sponsored consolidation

00:33:54.250 --> 00:33:57.210
aimed at drastically reducing national nitrogen

00:33:57.210 --> 00:34:00.470
emissions, particularly near -sensitive environmental

00:34:00.470 --> 00:34:04.329
habitats. It's not just a suggestion or a market

00:34:04.329 --> 00:34:06.190
trend. It's an active government intervention

00:34:06.190 --> 00:34:09.230
designed to physically shrink the national herd

00:34:09.230 --> 00:34:11.869
by buying out producers, especially in targeted

00:34:11.869 --> 00:34:14.590
areas. It's extreme. It is. And look at Germany,

00:34:14.650 --> 00:34:17.630
too. They're imposing increasingly strict space

00:34:17.630 --> 00:34:20.750
allocation requirements for certain welfare certifications.

00:34:20.949 --> 00:34:23.630
Things like needing six square meters of indoor

00:34:23.630 --> 00:34:25.829
space, plus another four and a half square meters

00:34:25.829 --> 00:34:28.840
of outdoor access per cow. That fundamentally

00:34:28.840 --> 00:34:31.099
changes the economics of traditional confinement

00:34:31.099 --> 00:34:33.519
systems, doesn't it? Yeah. Just raises the structural

00:34:33.519 --> 00:34:35.380
cost of production dramatically if you have to

00:34:35.380 --> 00:34:37.579
provide that much space per animal. Absolutely.

00:34:37.619 --> 00:34:40.260
So these European regulations aren't just gentle

00:34:40.260 --> 00:34:43.059
market pressures. They are significant government

00:34:43.059 --> 00:34:45.500
interventions that are actively accelerating

00:34:45.500 --> 00:34:48.239
the structural shift, pushing against traditional,

00:34:48.380 --> 00:34:51.380
densely concentrated dairy farming models and

00:34:51.380 --> 00:34:55.710
favoring either very extensive systems. or potentially

00:34:55.710 --> 00:34:58.550
creating more space for alternative protein sources.

00:34:59.010 --> 00:35:01.269
The pressure is mounting from multiple angles.

00:35:01.630 --> 00:35:03.309
Okay, so let's pull all these threads together.

00:35:03.590 --> 00:35:07.250
We've got the massive $9 .77 structural cost

00:35:07.250 --> 00:35:09.829
disadvantage for midsize farms compared to the

00:35:09.829 --> 00:35:12.750
megadaries. We've got the management sophistication

00:35:12.750 --> 00:35:15.070
gap. We've got the environmental pressures and

00:35:15.070 --> 00:35:17.809
the biogas cost barrier. And now we've got the

00:35:17.809 --> 00:35:20.010
looming disruption from precision fermentation

00:35:20.010 --> 00:35:22.190
potentially hitting price parity within a few

00:35:22.190 --> 00:35:24.920
years. Right. So given all that, The core message

00:35:24.920 --> 00:35:27.360
for those operations caught in that missing middle,

00:35:27.400 --> 00:35:31.039
maybe the 500 to 2000 cow farms. It feels brutally

00:35:31.039 --> 00:35:33.619
clear from this analysis. Simply staying the

00:35:33.619 --> 00:35:36.420
course, hoping things get better, is likely a

00:35:36.420 --> 00:35:38.760
path towards slow motion bankruptcy. You have

00:35:38.760 --> 00:35:40.719
to actively choose a different path. You can't

00:35:40.719 --> 00:35:43.239
just tread water anymore. Exactly. And the analysis

00:35:43.239 --> 00:35:47.019
highlights three potential proven escape routes

00:35:47.019 --> 00:35:49.760
out of that middle ground. Three distinct strategies.

00:35:50.099 --> 00:35:53.110
OK, this is crucial. What are the three paths

00:35:53.110 --> 00:35:55.909
for someone facing that 18 -month decision window?

00:35:56.130 --> 00:35:58.829
This is about preserving equity now. Path one

00:35:58.829 --> 00:36:01.389
is leveraging the cooperative premium. Path two

00:36:01.389 --> 00:36:03.829
is committing fully to value -added diversification.

00:36:04.170 --> 00:36:06.929
And path three, the often difficult but sometimes

00:36:06.929 --> 00:36:10.170
necessary one, is the strategic exit. Okay, let's

00:36:10.170 --> 00:36:12.170
dissect path one first, cooperative premium.

00:36:12.329 --> 00:36:14.530
How does that help bridge the gap? This path

00:36:14.530 --> 00:36:17.869
offers potentially the most immediate, lowest

00:36:17.869 --> 00:36:20.190
capital -intensive way to improve your margins

00:36:20.190 --> 00:36:23.420
right now. Research, particularly from Cornell's

00:36:23.420 --> 00:36:25.840
Dyson School, consistently demonstrates that

00:36:25.840 --> 00:36:28.400
the best managed, highest performing dairy cooperatives

00:36:28.400 --> 00:36:31.179
can deliver a significant price advantage, maybe

00:36:31.179 --> 00:36:33.739
8 to 12 percent higher pay price compared to

00:36:33.739 --> 00:36:35.920
selling milk independently on the commodity market

00:36:35.920 --> 00:36:38.159
or being part of an underperforming co -op. How

00:36:38.159 --> 00:36:39.960
do they achieve that premium? Through superior

00:36:39.960 --> 00:36:42.639
bargaining power with processors, effective marketing

00:36:42.639 --> 00:36:45.039
and branding of pooled milk, maybe better component

00:36:45.039 --> 00:36:47.500
pricing, and sometimes dividends or equity returns.

00:36:47.800 --> 00:36:49.780
Okay, 8 % to 12%. Let's put that in dollars.

00:36:49.920 --> 00:36:52.159
For that representative 1 ,000 cow farm we talked

00:36:52.159 --> 00:36:54.320
about, what does that mean annually? At 8 % to

00:36:54.320 --> 00:36:57.000
12%, premium could translate into an immediate

00:36:57.000 --> 00:37:00.579
revenue bump of roughly $200 ,000 to $300 ,000

00:37:00.579 --> 00:37:03.940
per year. Wow. Okay, that's significant money.

00:37:04.559 --> 00:37:06.920
That's enough to close a very large portion of

00:37:06.920 --> 00:37:09.039
that structural cost gap we identified earlier.

00:37:09.380 --> 00:37:12.400
Exactly. So this path is really about choosing

00:37:12.400 --> 00:37:15.820
your business partners wisely. It's about aligning

00:37:15.820 --> 00:37:18.099
yourself with the best performing co -op in your

00:37:18.099 --> 00:37:20.900
region, not just necessarily the closest processor

00:37:20.900 --> 00:37:23.219
or the one your family has always shipped to.

00:37:23.639 --> 00:37:25.820
All right. But I need to hear the practical farmer

00:37:25.820 --> 00:37:28.179
pushback on this one. Is it really as simple

00:37:28.179 --> 00:37:30.400
as saying, OK, I'll just switch co -ops tomorrow

00:37:30.400 --> 00:37:32.639
and get that 12 percent premium? What are the

00:37:32.639 --> 00:37:35.099
hurdles? Well, first off, I'm not buying the

00:37:35.099 --> 00:37:37.599
simplicity of it at all. In many regions, the

00:37:37.599 --> 00:37:40.320
milk market is already pretty saturated. Finding

00:37:40.320 --> 00:37:43.000
a top -tier co -op that is actively taking on

00:37:43.000 --> 00:37:45.380
new members, especially larger farms that might

00:37:45.380 --> 00:37:47.719
disrupt their balancing or trucking routes, can

00:37:47.719 --> 00:37:50.559
be really difficult. They might not want or need

00:37:50.559 --> 00:37:52.460
your milk. Okay, market access challenge. What

00:37:52.460 --> 00:37:55.519
else? Second, there's often significant political

00:37:55.519 --> 00:37:58.820
and logistical difficulty in switching. You have

00:37:58.820 --> 00:38:01.519
longstanding relationships. Maybe capital investment

00:38:01.519 --> 00:38:04.440
like equity tied up in your current co -op. And

00:38:04.440 --> 00:38:06.480
there's usually a lengthy notice period required,

00:38:06.780 --> 00:38:09.400
sometimes six months or even a year before you

00:38:09.400 --> 00:38:11.679
can leave. So it takes planning. Absolutely.

00:38:11.980 --> 00:38:15.380
And crucially, remember that same Cornell pricing

00:38:15.380 --> 00:38:18.579
analysis. It also found that the underperforming

00:38:18.579 --> 00:38:20.690
cooperatives. the ones at the bottom of the pack,

00:38:20.909 --> 00:38:24.429
were actually paying out about 3 .5 % less on

00:38:24.429 --> 00:38:27.150
average than the typical investor -owned processors.

00:38:27.489 --> 00:38:29.469
So switching to the wrong co -op could actually

00:38:29.469 --> 00:38:31.929
make your situation worse. Precisely. You have

00:38:31.929 --> 00:38:34.230
to do meticulous due diligence. You need to benchmark

00:38:34.230 --> 00:38:37.090
your current co -op's performance, their pay

00:38:37.090 --> 00:38:38.909
price, their deductions, their equity programs

00:38:38.909 --> 00:38:41.449
against the best in the region. You need to know

00:38:41.449 --> 00:38:44.369
objectively if you are currently paying a penalty

00:38:44.369 --> 00:38:47.079
just by being part of your current system. Okay,

00:38:47.119 --> 00:38:49.460
so Path 1 isn't a simple switch. It's a high

00:38:49.460 --> 00:38:51.619
-stakes investigation and potentially a complex

00:38:51.619 --> 00:38:55.320
transition. Let's move to Path 2. Value -added

00:38:55.320 --> 00:38:57.340
diversification. This is often held up as the

00:38:57.340 --> 00:38:59.579
dream, right? Become the local artisanal brand.

00:38:59.920 --> 00:39:03.159
Yeah, Path 2 focuses entirely on dramatically

00:39:03.159 --> 00:39:05.599
improving your margin per unit of milk rather

00:39:05.599 --> 00:39:08.480
than just chasing commodity price. And the potential

00:39:08.480 --> 00:39:11.199
gains here, according to European research cited,

00:39:11.400 --> 00:39:14.590
can be really significant. How significant? We're

00:39:14.590 --> 00:39:17.269
talking potential margin improvements of 36 %

00:39:17.269 --> 00:39:20.530
all the way up to 150 % through things like on

00:39:20.530 --> 00:39:23.570
-farm cheese making, yogurt production, bottling

00:39:23.570 --> 00:39:26.550
fluid milk for direct sale, ice cream, you name

00:39:26.550 --> 00:39:29.070
it. Can you give a specific example? Yeah, the

00:39:29.070 --> 00:39:31.710
analysis mentioned small -scale cheese production

00:39:31.710 --> 00:39:35.929
in Europe generating something like 7 .688. That's

00:39:35.929 --> 00:39:39.469
maybe 75 US cents more profit per liter of milk

00:39:39.469 --> 00:39:41.590
compared to just selling it as fluid commodity

00:39:41.590 --> 00:39:44.409
milk. That's a huge difference. Those margin

00:39:44.409 --> 00:39:46.590
numbers are incredibly tempting, obviously. But

00:39:46.590 --> 00:39:49.210
playing the practical voice again, why are you

00:39:49.210 --> 00:39:51.170
skeptical that this is the magic bullet solution

00:39:51.170 --> 00:39:53.289
for the majority of farms stuck in the missing

00:39:53.289 --> 00:39:55.469
middle? I'm highly skeptical that this is scalable

00:39:55.469 --> 00:39:58.230
for the majority, primarily because while the

00:39:58.230 --> 00:40:00.849
potential margins are high, the barriers to successful

00:40:00.849 --> 00:40:02.849
entry are absolutely immense. What are the main

00:40:02.849 --> 00:40:05.679
barriers? Research out of Ireland from Nuffield

00:40:05.679 --> 00:40:08.739
Scholars show that something like 95 % of dairy

00:40:08.739 --> 00:40:11.659
farmers, despite being excellent, highly skilled

00:40:11.659 --> 00:40:13.679
experts at cow management and milk production,

00:40:13.960 --> 00:40:16.659
simply lack the necessary different skill sets.

00:40:17.059 --> 00:40:20.699
Marketing, branding, sales, logistics, food processing

00:40:20.699 --> 00:40:23.900
regulations, business development, all the things

00:40:23.900 --> 00:40:26.579
required for a successful value -added transition.

00:40:26.840 --> 00:40:28.920
You're essentially moving from being a primary

00:40:28.920 --> 00:40:31.639
producer to being a manufacturer, a distributor,

00:40:31.860 --> 00:40:33.980
a marketer, and often a retailer. all rolled

00:40:33.980 --> 00:40:35.960
into one. It's a completely different business

00:40:35.960 --> 00:40:38.260
model. And the timeline just doesn't seem to

00:40:38.260 --> 00:40:40.619
match that urgent 18 -month decision window we

00:40:40.619 --> 00:40:43.059
keep talking about. Not at all. The realistic

00:40:43.059 --> 00:40:45.480
path to profitability for a new value -added

00:40:45.480 --> 00:40:47.699
dairy business typically takes five to seven

00:40:47.699 --> 00:40:50.699
years. You need serious, often diversified capital

00:40:50.699 --> 00:40:53.480
investment up front. You need to develop or hire

00:40:53.480 --> 00:40:55.800
an entirely new skill set within your operation.

00:40:56.420 --> 00:40:58.760
And you realistically need a five -year financial

00:40:58.760 --> 00:41:01.429
runway maybe subsidizing the new venture with

00:41:01.429 --> 00:41:03.650
the old one before you start seeing consistent

00:41:03.650 --> 00:41:06.210
positive returns. So if your farm equity is already

00:41:06.210 --> 00:41:08.190
eroding right now due to those structural commodity

00:41:08.190 --> 00:41:11.110
pressures. Launching a complex, capital intensive,

00:41:11.329 --> 00:41:13.849
slow return, value added business is probably

00:41:13.849 --> 00:41:16.730
not the immediate fix you need. It's more like

00:41:16.730 --> 00:41:19.289
a potential long term, maybe even generational

00:41:19.289 --> 00:41:22.530
project if you have the resources and the risk

00:41:22.530 --> 00:41:25.409
tolerance. OK, so for many people realistically

00:41:25.409 --> 00:41:28.190
facing this 18 month decision point, if path

00:41:28.190 --> 00:41:31.760
one. switching co -ops, isn't feasible or doesn't

00:41:31.760 --> 00:41:34.280
close the gap enough, and path two, value added,

00:41:34.340 --> 00:41:36.760
is too slow or requires skills they don't have,

00:41:36.980 --> 00:41:40.139
that leaves path three, the strategic exit. And

00:41:40.139 --> 00:41:42.380
we need to frame this correctly. This isn't about

00:41:42.380 --> 00:41:44.940
giving up or failing. This is purely a rational

00:41:44.940 --> 00:41:47.820
business decision focused on optimal timing and

00:41:47.820 --> 00:41:49.920
responsible asset management to preserve wealth.

00:41:50.079 --> 00:41:52.869
We circle back to that financial data. Proactive

00:41:52.869 --> 00:41:56.070
strategic timing preserves 85 to 90 % of your

00:41:56.070 --> 00:41:58.289
farm's equity. But we need to explain how that

00:41:58.289 --> 00:42:00.909
works in practice. A strategic exit means you

00:42:00.909 --> 00:42:03.409
conduct an orderly planned asset sale while the

00:42:03.409 --> 00:42:05.809
farm is still a going concern, not when you're

00:42:05.809 --> 00:42:07.590
financially distressed. What does that look like?

00:42:07.789 --> 00:42:09.949
It means maybe you sell the land separately,

00:42:10.150 --> 00:42:13.050
potentially at agricultural value, or maybe even

00:42:13.050 --> 00:42:14.909
capturing some development value if you're near

00:42:14.909 --> 00:42:17.309
an urban area, while the farm is still operational

00:42:17.309 --> 00:42:20.280
and looks good. You sell the milking herd and

00:42:20.280 --> 00:42:23.159
the young stock through a well -marketed scheduled

00:42:23.159 --> 00:42:26.400
dispersal option to maximize prices from other

00:42:26.400 --> 00:42:29.019
producers who want good genetics. You sell the

00:42:29.019 --> 00:42:30.920
equipment line through an organized auction or

00:42:30.920 --> 00:42:33.519
private treaty. Instead of. Instead of being

00:42:33.519 --> 00:42:36.599
forced into a rapid distressed liquidation sale

00:42:36.599 --> 00:42:39.380
where buyers know you have to sell, you're desperate

00:42:39.380 --> 00:42:41.800
for cash and prices just plummet across the board.

00:42:41.980 --> 00:42:44.059
That's where you see equity evaporate down to

00:42:44.059 --> 00:42:46.690
that 20, 30 percent level. And the analysis mentioned

00:42:46.690 --> 00:42:49.070
a documented case study illustrating this point.

00:42:49.190 --> 00:42:51.730
Yeah, the example from southern Wisconsin. A

00:42:51.730 --> 00:42:53.349
producer who saw the writing on the wall had

00:42:53.349 --> 00:42:57.030
around $850 ,000 in calculated farm equity. By

00:42:57.030 --> 00:42:58.969
planning and executing a strategic transition

00:42:58.969 --> 00:43:01.989
before losses mounted, they successfully preserved

00:43:01.989 --> 00:43:05.710
over $700 ,000 of that equity for their retirement

00:43:05.710 --> 00:43:08.369
and potential new ventures outside of dairy farming.

00:43:08.610 --> 00:43:11.559
That is absolutely not a failure story. That

00:43:11.559 --> 00:43:14.340
is astute business management, recognizing that

00:43:14.340 --> 00:43:16.519
the economic structure no longer supported their

00:43:16.519 --> 00:43:19.780
specific scale of operation and acting decisively

00:43:19.780 --> 00:43:21.980
to protect their family's financial future. And

00:43:21.980 --> 00:43:24.840
this all drives towards that rather stark 2035

00:43:24.840 --> 00:43:27.860
vision presented by IFCN and other analysts,

00:43:28.019 --> 00:43:30.739
which serves as the final warning, really. What's

00:43:30.739 --> 00:43:32.880
the projection? The projection is basically a

00:43:32.880 --> 00:43:35.820
bifurcation of the industry. They see maybe 40

00:43:35.820 --> 00:43:38.760
percent. Of global milk production. Eventually

00:43:38.760 --> 00:43:42.199
coming from just 300 to 500 highly efficient

00:43:42.199 --> 00:43:45.659
industrial scale mega dairies. Huge operations.

00:43:46.019 --> 00:43:50.079
40 % from a few hundred farms. Okay. Where does

00:43:50.079 --> 00:43:52.780
the rest come from? Another 35 % is projected

00:43:52.780 --> 00:43:55.260
to come from the very small holder systems, primarily

00:43:55.260 --> 00:43:58.320
in South Asia. Think India, Pakistan, driven

00:43:58.320 --> 00:44:00.800
mostly by local population growth and local consumption

00:44:00.800 --> 00:44:03.079
patterns, operating on a completely different

00:44:03.079 --> 00:44:05.380
economic model. Okay, that's 75%. What's the

00:44:05.380 --> 00:44:08.440
remaining 25 %? The remaining 25 % is projected

00:44:08.440 --> 00:44:10.500
to come from precision fermentation and other

00:44:10.500 --> 00:44:13.099
non -animal dairy alternatives, capturing that

00:44:13.099 --> 00:44:14.760
commodity protein market share we discussed.

00:44:15.210 --> 00:44:18.070
So you add that up, the structural cost disadvantage

00:44:18.070 --> 00:44:21.190
pushing from below, the rise of PF pushing from

00:44:21.190 --> 00:44:23.949
the side. What happens to that missing middle,

00:44:24.050 --> 00:44:27.510
the traditional 500 to 2000 cow family farm that's

00:44:27.510 --> 00:44:30.090
been the backbone in many regions? In that 2035

00:44:30.090 --> 00:44:34.389
scenario, they essentially vanish. They get squeezed

00:44:34.389 --> 00:44:37.530
out. They're unable to compete effectively on

00:44:37.530 --> 00:44:39.429
the commodity scale against the mega dairies

00:44:39.429 --> 00:44:44.039
and maybe unable or unwilling. to secure a premium

00:44:44.039 --> 00:44:46.360
niche market large enough or profitable enough

00:44:46.360 --> 00:44:48.860
to sustain them long term. So the economic pressure

00:44:48.860 --> 00:44:51.079
will simply force them to choose one of those

00:44:51.079 --> 00:44:54.480
three lanes, scale up massively, niche down significantly,

00:44:54.719 --> 00:44:57.679
or exit strategically probably within this tightening

00:44:57.679 --> 00:45:01.179
18 month window, or face a much harder forced

00:45:01.179 --> 00:45:03.079
liquidation over the course of the next decade

00:45:03.079 --> 00:45:05.260
as these trends play out. The stakes are incredibly

00:45:05.260 --> 00:45:08.190
high. Hashtag Hag Actionable Insights segment.

00:45:08.409 --> 00:45:10.090
All right, let's bring all of this analysis down

00:45:10.090 --> 00:45:11.590
to ground level. The listener, maybe they just

00:45:11.590 --> 00:45:13.210
finished morning milking. Perhaps they're driving

00:45:13.210 --> 00:45:15.289
to the feed store right now. Or maybe they're

00:45:15.289 --> 00:45:17.110
sitting down later today heading into a tough

00:45:17.110 --> 00:45:19.250
meeting with their lender. What are the absolute

00:45:19.250 --> 00:45:21.630
key actionable things they need to take away

00:45:21.630 --> 00:45:25.429
from this deep dive? We need three clear targeted

00:45:25.429 --> 00:45:28.269
actions based on different time frames. Something

00:45:28.269 --> 00:45:30.590
to do immediately, something for the medium term,

00:45:30.670 --> 00:45:33.989
and a crucial long -term positioning decision.

00:45:34.309 --> 00:45:36.159
Okay, let's start with the immediate. What's

00:45:36.159 --> 00:45:37.880
action number one, something they should look

00:45:37.880 --> 00:45:41.400
into this week? Immediate action this week. Evaluate

00:45:41.400 --> 00:45:43.960
your co -op or processor's performance. This

00:45:43.960 --> 00:45:46.820
is potentially the fastest, lowest capital way

00:45:46.820 --> 00:45:48.980
to find immediate margin improvement. How do

00:45:48.980 --> 00:45:51.320
they do that? You must objectively compare your

00:45:51.320 --> 00:45:53.559
current cooperative's actual payout performance,

00:45:53.900 --> 00:45:57.260
your net pay price after all deductions, against

00:45:57.260 --> 00:45:59.860
known public metrics or benchmarks for your region.

00:46:00.320 --> 00:46:02.239
like the research done by the Cornell Dyson School

00:46:02.239 --> 00:46:05.079
or similar university studies, if available locally.

00:46:05.280 --> 00:46:08.079
And the goal is to find out. The goal is to find

00:46:08.079 --> 00:46:11.519
out. Is your co -op truly delivering that potential

00:46:11.519 --> 00:46:14.519
8 % to 12 % premium compared to the baseline?

00:46:14.860 --> 00:46:17.639
Or are you unfortunately stuck in an underperforming

00:46:17.639 --> 00:46:20.199
group that might actually be paying less than

00:46:20.199 --> 00:46:22.980
nearby investor -owned processors? If you discover

00:46:22.980 --> 00:46:26.039
you're losing, say, $200 ,000 in potential revenue

00:46:26.039 --> 00:46:29.440
annually just because you're Current co -op consistently

00:46:29.440 --> 00:46:32.239
underperforms the regional average. That's massive

00:46:32.239 --> 00:46:34.679
equity erosion. You might be able to stop relatively

00:46:34.679 --> 00:46:37.219
quickly just by starting the due diligence process

00:46:37.219 --> 00:46:39.699
now to identify and potentially transition to

00:46:39.699 --> 00:46:41.800
a higher performing partner. Don't assume your

00:46:41.800 --> 00:46:43.980
current situation is optimal. Verify it. That's

00:46:43.980 --> 00:46:45.960
critical, yeah. Know your numbers relative to

00:46:45.960 --> 00:46:48.139
the best. Okay, what about the medium term? What's

00:46:48.139 --> 00:46:50.119
action number two? Something to focus on over

00:46:50.119 --> 00:46:52.579
the next, say, three to six months. Medium term

00:46:52.579 --> 00:46:55.099
strategy. Next three to six months. Audit your

00:46:55.099 --> 00:46:57.139
operational efficiency and protocol discipline.

00:46:57.519 --> 00:47:00.300
And the key here is do not rush into expansion

00:47:00.300 --> 00:47:02.420
right now just for the sake of getting bigger.

00:47:02.539 --> 00:47:05.760
Not yet. Instead, focus intensely on eliminating

00:47:05.760 --> 00:47:09.300
any internal productivity gaps first. Maximize

00:47:09.300 --> 00:47:11.280
the efficiency of the cows and assets you already

00:47:11.280 --> 00:47:14.880
have. Remember that 82 % productivity gap between

00:47:14.880 --> 00:47:17.980
Almirai and Huchon. You need to be on the Almirai

00:47:17.980 --> 00:47:20.400
side of management sophistication, regardless

00:47:20.400 --> 00:47:22.909
of your current size. So what does that look

00:47:22.909 --> 00:47:25.449
like practically? It means rigorously reviewing

00:47:25.449 --> 00:47:28.769
and tightening your management protocols. Replicate

00:47:28.769 --> 00:47:30.710
the precision of the top performers. That means

00:47:30.710 --> 00:47:33.449
absolutely meticulous transition cow protocols,

00:47:33.750 --> 00:47:36.829
nutrition, health monitoring. It means optimizing

00:47:36.829 --> 00:47:39.090
the cow's environment as much as possible within

00:47:39.090 --> 00:47:41.349
your budget heat abatement, consistent access

00:47:41.349 --> 00:47:43.869
to clean water. And it means treating your record

00:47:43.869 --> 00:47:45.929
keeping not as a chore, but as a critical profit

00:47:45.929 --> 00:47:49.000
center, using data to drive every decision. Remember

00:47:49.000 --> 00:47:51.699
that Idaho example? Yeah. The well -managed 600

00:47:51.699 --> 00:47:54.219
-cow farm outperforming the 5 ,000 -cow farm.

00:47:54.380 --> 00:47:56.599
Exactly. You need to strive for that level of

00:47:56.599 --> 00:47:59.059
management precision, that level of sophistication,

00:47:59.059 --> 00:48:01.400
even if you can't match the mega dairy's cow

00:48:01.400 --> 00:48:03.960
count. Driving up your internal efficiency is

00:48:03.960 --> 00:48:07.460
your only real buffer against that $9 .77 structural

00:48:07.460 --> 00:48:10.239
cost penalty coming from the outside. Maximize

00:48:10.239 --> 00:48:12.179
what you can control. Makes sense. Get your own

00:48:12.179 --> 00:48:14.199
house in perfect order first. Okay, finally,

00:48:14.320 --> 00:48:16.849
the big one, long -term positioning. What's action

00:48:16.849 --> 00:48:18.969
number three? The decision that really defines

00:48:18.969 --> 00:48:21.949
the next decade and, as you said, preserves wealth.

00:48:22.389 --> 00:48:24.469
Long -term positioning, next one to two years.

00:48:24.889 --> 00:48:27.650
Decide your lane, set your timetable, and assume

00:48:27.650 --> 00:48:30.929
price parity. This is the strategic choice. You

00:48:30.929 --> 00:48:33.449
have to commit fully and strategically to one

00:48:33.449 --> 00:48:35.989
of those three paths we outlined. Remind us of

00:48:35.989 --> 00:48:39.010
the paths. Path one, scale aggressively and efficiently,

00:48:39.269 --> 00:48:42.849
likely aiming for 2 ,500 plus cows, specifically

00:48:42.849 --> 00:48:46.070
to achieve that fixed cost leverage. Path two,

00:48:46.590 --> 00:48:49.269
commit wholeheartedly to a substantial, verifiable

00:48:49.269 --> 00:48:52.409
premium niche. Maybe it's A2 milk, maybe it's

00:48:52.409 --> 00:48:54.590
certified grass -fed, maybe organic, maybe direct

00:48:54.590 --> 00:48:56.190
local marketing, something that realistically

00:48:56.190 --> 00:48:59.409
adds $300 ,000 plus in annual premium revenue

00:48:59.409 --> 00:49:02.449
to your operation. Or path three, plan and execute

00:49:02.449 --> 00:49:04.969
a strategic, orderly exit to preserve your equity

00:49:04.969 --> 00:49:07.409
before it erodes further. And you added a crucial

00:49:07.409 --> 00:49:09.710
new variable to consider in this long -term planning.

00:49:10.090 --> 00:49:13.389
Yes. And this is critical for any major capital

00:49:13.389 --> 00:49:15.190
investment decision from this point forward.

00:49:15.429 --> 00:49:18.949
All future infrastructure planning, new parlors,

00:49:18.949 --> 00:49:22.349
new barns, major equipment purchases must be

00:49:22.349 --> 00:49:24.769
done assuming basic price parity for commodity

00:49:24.769 --> 00:49:27.869
dairy proteins, whey, casein, with precision

00:49:27.869 --> 00:49:30.949
fermentation alternatives by roughly 2027 to

00:49:30.949 --> 00:49:33.610
2028. So run the numbers assuming that happens.

00:49:33.849 --> 00:49:37.110
Exactly. Ask yourself, will this new facility,

00:49:37.309 --> 00:49:40.199
this big investment, still pencil out? Will it

00:49:40.199 --> 00:49:42.880
still break even or be profitable if the fundamental

00:49:42.880 --> 00:49:45.760
value of commodity protein in my milk is significantly

00:49:45.760 --> 00:49:48.280
pressured downwards by these lab -grown products

00:49:48.280 --> 00:49:50.920
within the next 5 -10 years? If the answer is

00:49:50.920 --> 00:49:52.840
no, then you probably shouldn't build it. Or

00:49:52.840 --> 00:49:54.639
you need to factor that risk heavily into your

00:49:54.639 --> 00:49:56.840
financing and payback calculations. The time

00:49:56.840 --> 00:49:58.719
to incorporate that future reality into your

00:49:58.719 --> 00:50:00.960
planning is right now, within that one two -year

00:50:00.960 --> 00:50:03.320
decision window. Don't wait until price parity

00:50:03.320 --> 00:50:05.980
actually hits. Plan for it. Wow. Okay, that's

00:50:05.980 --> 00:50:07.699
a lot to think about, but incredibly important.

00:50:07.800 --> 00:50:09.980
Choose a path, get ruthlessly efficient, and

00:50:09.980 --> 00:50:11.639
plan for the coming protein disruption. That

00:50:11.639 --> 00:50:13.059
sums it up pretty well. It's about proactive

00:50:13.059 --> 00:50:15.800
strategy, not reactive panic. This has been another

00:50:15.800 --> 00:50:18.679
deep dive from The Deep Dive. If this kind of

00:50:18.679 --> 00:50:21.340
no BS analysis helps your operation make better

00:50:21.340 --> 00:50:25.539
decisions, definitely head over to www .thebullvine

00:50:25.539 --> 00:50:28.340
.com. There are more articles there that really

00:50:28.340 --> 00:50:30.159
tell you what's happening behind the scenes in

00:50:30.159 --> 00:50:33.170
dairy. And seriously, subscribe to the show wherever

00:50:33.170 --> 00:50:35.170
you get your deep dives. We're actually releasing

00:50:35.170 --> 00:50:37.929
these twice weekly now, hitting different critical

00:50:37.929 --> 00:50:40.130
topics each time. And trust me, you really don't

00:50:40.130 --> 00:50:41.650
want to miss what we've got coming up next week.

00:50:41.769 --> 00:50:44.250
We're going to dig into the surprising real world

00:50:44.250 --> 00:50:46.730
cost differences between handling manure with

00:50:46.730 --> 00:50:49.510
liquid systems versus daily spread systems. And

00:50:49.510 --> 00:50:52.070
maybe more importantly, we'll assess the actual

00:50:52.070 --> 00:50:54.989
viability of carbon credit programs for midsize

00:50:54.989 --> 00:50:58.250
farms. Yeah, the big question. Can those carbon

00:50:58.250 --> 00:51:01.309
programs realistically help close that structural

00:51:01.309 --> 00:51:03.769
cost gap we talked about today? Or are they turning

00:51:03.769 --> 00:51:05.909
out to be just another empty promise for most

00:51:05.909 --> 00:51:08.070
producers? That's what we'll tackle next time.

00:51:08.250 --> 00:51:10.349
Thanks for joining us on this episode of the

00:51:10.349 --> 00:51:13.030
Bullvine Podcast. We hope today's discussion

00:51:13.030 --> 00:51:15.989
helps you see the broader forces at work and

00:51:15.989 --> 00:51:18.489
gives you practical ideas to meet this rapidly

00:51:18.489 --> 00:51:21.750
changing moment. If you found this episode helpful,

00:51:21.929 --> 00:51:24.590
please share it with your fellow producers, leave

00:51:24.590 --> 00:51:27.760
a review, or reach out to us at thebullvine .com

00:51:27.760 --> 00:51:31.920
with your feedback and questions. Remember, your

00:51:31.920 --> 00:51:34.619
decisions shape not only your business, but the

00:51:34.619 --> 00:51:37.320
future of the entire industry. Stay informed,

00:51:37.619 --> 00:51:40.500
stay resilient, and join us next time for more

00:51:40.500 --> 00:51:43.679
real talk from the front lines of dairying. Take

00:51:43.679 --> 00:51:45.679
care, and keep milking the possibilities.