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 back to the Bullvine Podcast,

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where we cut through the dairy industry noise

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to get you the insights that actually matter

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for your operation. If you are looking for the

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glossy, PR -approved version of dairy farming,

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where the sun is always shining and the cows

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never get sick, you are definitely in the wrong

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place. Oh, for sure. We are here for the real

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stuff. The dirt, the data, and the dollars. And

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today we are diving deep into a feature piece

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that honestly, it hits a little too close to

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home for a lot of us. The title alone tells you

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exactly where we're going. The kitchen table

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solution, turning dairy labor churn into community.

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It's a feature that tackles, I mean, it tackles

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the single biggest headache on the farm today.

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And no, for once, it is not the price of soybean

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meal and it isn't the class three milk price.

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It's labor. But this isn't just another segment

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complaining about health wanted signs. This is

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about turning a crisis into a community solution

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using four very specific farmer tested playbooks.

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Right. And I want to set the stage here properly

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because we can talk stats all day and believe

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me, we will. But we need to acknowledge the visceral

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reality of this. Yeah. The feeling. The feeling.

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We all know that specific feeling. It's 4 a .m.

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Your phone buzzes on the nightstand. It's pitch

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black outside. The house is cold. And you get

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that pit in your stomach because a text at four

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in the morning is never good news. It's never,

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Hey, milk prices just went up or the corn looks

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great. Never. It's just, it's the sound of your

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day imploding before it even starts. Your milker

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can't make it sick or the new chair option. I

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quit. And in that split second before you've

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even put your feet on the floor, your whole day,

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your whole week, just reshuffle. Oh, absolutely.

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You're thinking about the broken scraper chain

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you need to fix, the feed delivery that's coming

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at 8, the vet check at 10, and now you have to

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go milk for six hours. The stress just stacks.

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It's physical. That is the mission of this deep

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dive today. We want to prove that while that

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turnover, that dread, it feels normal because

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it seems like everyone is dealing with it. It

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means the system is fundamentally broken. Right.

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It's normalized chaos. It is. But here is the

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good news and really the core thesis from the

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source material we're analyzing today. Yeah.

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Just because the system is broken doesn't mean

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your farm has to be. And that's the hook. Because

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usually when we talk about labor, it's just a

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gripe session at the coffee shop. Nobody wants

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to work. Gen Z is lazy. Immigration is a mess.

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And sure, there is truth in the frustration.

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Of course. But this analysis looks at four specific

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playbooks, real models that guys are using right

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now to stop the bleeding. And the stakes are

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massive. We talk about profitability leaks all

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the time, spilled feed, high somatic cell counts,

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poor reproduction. But labor turnover, that is

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a profitability leak that is likely worse than

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your budget even shows. It's not a leak. It's

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a gushing wound. It really is. And the personal

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stakes, I mean, you've lived this, not just money.

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It's about whether you sleep at night. It's about

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whether you can physically keep doing this without

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blowing out a knee or your back. And honestly,

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it's about the next generation. Yeah, that's

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the big one. It is. If your kids see you miserable,

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constantly putting out labor fires, struggling

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to find people to do the basic work, do they

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want the keys to the farm? I think we all know

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the answer to that. Why would they sign up for

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a life of constant crisis management? Exactly.

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They won't. They'll go get a job in town with

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weekends off. We are going to tease a provocative

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point right up front, too. The solutions we are

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discussing today, they are not government programs.

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There is no new policy coming down the pipe to

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fix this for you. Nope. Nobody in a suit is coming

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to save you. If you're waiting for Washington

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to fix the dairy labor crisis, you're going to

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lose the farm before the ink is dry on any legislation.

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It's just not going to happen. And here's the

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scary part for some listeners. Some of these

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solutions involve things farmers are notoriously

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bad at. Like opening your books to your employees

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or admitting to your neighbors, your peers, your

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competitors, technically, that you are drowning

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and you don't know what to do. Yeah, that vulnerability

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piece is tough. It goes against the grain. We

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like to be independent. I can do it myself. But

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that independence might be exactly what's killing

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us on this issue. Okay, so let's get into the

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deep dive. Segment one, problem identification.

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We're calling this the bleed. Good and important.

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Let's look at the numbers from the source material.

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According to the Farm Program Survey, the average

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dairy employee turnover is 38 .8%. 38 .8%. Let's

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just pause on that for a second. Now, for context,

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the private sector average is roughly 47%. So

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you might look at that and say, hey, dairy is

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actually doing better than Burger King. But that

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is a completely false equivalency. It's apples

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and oranges. 38 .8 % in dairy feels absolutely

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devastating compared to 47 % in retail. Well,

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if a burger flipper quits, you can train a new

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one in an afternoon. The protocols are simple.

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The risk is low. If they mess up, what happens?

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Someone gets a burger with pickles when they

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ask for no pickles. Big deal. Right. The consequences

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are minimal. But if a milker quits or a feeder

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quits, the consequences are biological. They're

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immediate. Exactly. And that 38 .8%. It feels

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almost optimistic for some guys I know. I was

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just thinking that. But think about the reality

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of that math. That means if you have a crew of

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10, you are replacing four of them every single

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year. Four out of 10. So you're constantly in

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a state of training. Constantly. You never get

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to... expert level with your crew because you're

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always onboarding the new guy. You're trying

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to run a football team where the quarterback

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changes every third game. You can't run complex

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plays. You're just trying not to fumble the staff.

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And let's talk about the foundation of that workforce.

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Where are these folks coming from? The source

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material cites a National Milk Producers Federation

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survey that says immigrant workers account for

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51 % of all dairy labor. Which anecdotally feels

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low for a lot of regions. I mean, in some parts

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of the country, it's way higher than that. I

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would agree. But here is the kicker. Farms that

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employ immigrant labor produce 79 % of the U

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.S. milk supply. That is the stat that should

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keep industry leaders up at night. 79 % of the

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milk. Let that sink in. Basically, 8 out of every

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10 gallons of milk on a store shelf are there

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because of this specific workforce. So we have

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a system where the vast majority of our production

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is dependent on a workforce that... frankly,

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lives in a state of constant legal and social

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uncertainty. It's a fragile foundation. That's

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the only way to describe it. If policy shakes,

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or if enforcement ramps up, or even if just the

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fear level rises in a community. It's not theoretical.

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Not at all. It hits the bulk tank immediately.

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It's not a political debate for us. It's whether

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the cows get milked tomorrow morning. The article

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tells the story of a farmer named Mark, and I

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think Mark is a composite of a lot of farmers

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we talk to. Yeah, Mark's story is the story of

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a thousand farmers. He's in the milk house. It's

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early. Steam is rising off the cows. The compressor

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is humming that rhythmic chug, chug, chug. I

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can picture it. And he gets a text from his neighbor,

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Dave. Mark has already stressed. He's got a scraper

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chain thumping in the background. He's got a

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banker meeting at noon to discuss an operating

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line renewal. And he realizes he has lost more

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people in the last year than in the previous

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decade combined. Wow. In one year. In the isolation.

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That's what jumped out at me from this story.

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Mark felt like he was the only one failing. He

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looked at his neighbor's farms from the road

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and thought, they have clean driveways. Their

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sheds are painted. They must have this figured

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out. I'm the one who can't keep guys. The classic

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farmer comparison game. Exactly. Until he admits

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he's out of ideas. Yeah. And that's when Dave

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steps in. Dave's text, heard you lost a couple

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good guys, coffee at the diner. That was the

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lifeline. Because until you admit you're out

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of ideas, you're just suffering in silence. Mark

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admitted he was drowning. That is a dangerous

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place to be as a business owner. But man, admitting

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it is the first step to actually fixing it. So

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that's the emotional landscape. But we promised

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to cut through the noise and look at the hard

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data. Let's move to segment two, follow the money.

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We need to talk about the hidden cost of this

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churn. Yes. Because I think most farmers look

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at the cost of a help -wanted ad and think that's

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the price of turnover. Oh, absolutely. We're

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great at math when it comes to rations. We count

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pennies on dry matter intake. We watch the teat

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dip usage like a hawk. But we are terrible at

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calculating the forensic accounting of a catastrophic

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resignation. Well, let's try. Michigan State

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University Extension estimates that turnover

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costs are between 100 % and 150 % of the annual

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salary of the position. Okay, hold on. Hold on.

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I have to play the skeptic here because I know

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the listeners are doing it right now. If I have

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a milker making, say, $30 ,000 or $35 ,000 a

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year, you're telling me it costs me $45 ,000

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to replace him. That's what the data suggests.

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That sounds like consultant math. It really does.

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It sounds like numbers cooked up to sell me a

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seminar. How do we actually get to that number

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in the real world? It sounds high. I get it.

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But let's break it down line by line. First,

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the easy stuff. Recruitment and hiring. You know,

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putting out the ads, the time spent interviewing.

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That's $500 to $2 ,000 right off the top. Okay,

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fair. Advertising costs money. Background checks.

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But that's peanuts compared to $45 ,000. True.

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But add your time. How many hours do you spend

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on Facebook Marketplace answering messages from

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people who aren't serious? That's too many. How

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many interviews where the guy just doesn't show

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up? If you value your time at even a modest management

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rate, that adds up fast. But okay, let's move

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to the next tier. Training. The first 90 days.

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That's estimated at $3 ,000 to $6 ,000. Why so

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high? Where's that number coming from? It's because

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that new person is slower. They are less efficient.

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And crucially, the person training them, usually

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your best employee, your herdsman or you, is

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now working at half speed. Ah, I see. They're

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supervising. So you are paying two wages for

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one job output for weeks, maybe months. Okay,

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I'll buy that. You're burning payroll efficiency.

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You've got two bodies doing one person's work,

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essentially. But we're still not at 45 grand.

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Here is where the real money vanishes. This is

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the invisible loss. Loss productivity. The estimate

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is $5 ,000 to $12 ,000 per departure. And I think

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this is where we need to get into the biology

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of it. Okay, let's translate lost productivity

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into barn language. Because productivity sounds

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abstract, like something on a spreadsheet. Right.

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Let's make it real. Think about the milking routine.

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A new guy doesn't have the muscle memory. Maybe

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he strips, he dips, and he wipes. But he lags

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on the attachment. He's just a few seconds too

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slow. And he misses that critical 60 to 90 second

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oxytocin window for peak milk letdown. Exactly.

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So now you have a cow milking out slow. She's

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leaving residual milk in the udder because the

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letdown wasn't peaked. Okay. And what happens

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when you leave residual milk in the udder consistently,

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milking after milking, for the two weeks? while

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the new guy learns. Your somatic cell count starts

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creeping up. And there it is. You trigger subclinical

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mastitis. You aren't just losing milk flow in

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that moment. You're actively damaging utter health

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across the herd. And then the clinical cases

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start. So now you have a hot quarter. You're

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treating the cow. You're dumping our milk. And

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if you have to dump a whole tank because of antibiotic

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residue, well, there's your thousands of dollars

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right there in one shot. It's a cascade. Or take

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the breeding pen. A new feeder or a new scraper

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operator isn't tuned in to cow behavior yet.

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They're just focused on getting the task done.

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So they miss a heat. They miss that cow in standing

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heat because they're not looking for it. Right.

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And a missed heat is 21 days open. At today's

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feed prices, carrying a cow for an extra three

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weeks with no production gain. I mean, you can

00:12:58.950 --> 00:13:00.990
do the math. That adds up fast. Or they miss

00:13:00.990 --> 00:13:03.169
a transition cow. The classic one. She's just

00:13:03.169 --> 00:13:05.190
a little off feed. Her ears are down. But the

00:13:05.190 --> 00:13:07.769
new guy, he thinks she's just resting. And two

00:13:07.769 --> 00:13:09.549
days later, what do you have? You have a DA.

00:13:10.549 --> 00:13:13.029
A twisted stomach. So now you have a vet surgery

00:13:13.029 --> 00:13:16.750
bill. Or worse, a dead cow. Okay, so when you

00:13:16.750 --> 00:13:19.409
stack it up like that, the vet bills, the dumped

00:13:19.409 --> 00:13:22.830
milk, the extra days open, the potential for

00:13:22.830 --> 00:13:25.309
dead cows. Okay. You can hit 12 grand pretty

00:13:25.309 --> 00:13:28.169
fast. It's death by a thousand cuts. It is. It's

00:13:28.169 --> 00:13:31.009
not one big check you write for turnover. It's

00:13:31.009 --> 00:13:34.950
a hundred small losses that bleed you dry. So

00:13:34.950 --> 00:13:38.769
if we summarize, a conservative loss is $15 ,000

00:13:38.769 --> 00:13:42.470
to $25 ,000 for every experience departure. So

00:13:42.470 --> 00:13:44.610
if you have a 20 -person crew and you have 10

00:13:44.610 --> 00:13:47.610
% turnover, which is... really low for our industry,

00:13:47.950 --> 00:13:51.289
that's two people leaving. That is nearly $50

00:13:51.289 --> 00:13:54.669
,000 of invisible loss just vanishing from your

00:13:54.669 --> 00:13:56.450
bottom line. And we sit around the kitchen table

00:13:56.450 --> 00:13:58.889
wondering why the margins feel so tight, even

00:13:58.889 --> 00:14:00.830
when the milk price is halfway decent. Right.

00:14:00.909 --> 00:14:03.070
It's bleeding out through the exit door. There

00:14:03.070 --> 00:14:05.269
was a quote in the source material from a Vermont

00:14:05.269 --> 00:14:07.169
farmer named Jennifer that really summed this

00:14:07.169 --> 00:14:10.629
all up for me. She said, if you can't afford

00:14:10.629 --> 00:14:12.750
to treat people right, you can't afford to be

00:14:12.750 --> 00:14:15.340
in business. That's a punch in the mouth. It

00:14:15.340 --> 00:14:18.139
sounds harsh, right? But she's right. If your

00:14:18.139 --> 00:14:21.460
business model relies on burning through people

00:14:21.460 --> 00:14:23.980
and just eating that churn cost, you don't have

00:14:23.980 --> 00:14:27.200
a resilient business. You're a grinder. So we

00:14:27.200 --> 00:14:30.559
have established the problem is massive and the

00:14:30.559 --> 00:14:34.480
cost is crippling. Now, let's get to the solution

00:14:34.480 --> 00:14:37.080
side of things, the hopeful part. The source

00:14:37.080 --> 00:14:40.870
material outlines four specific playbooks. These

00:14:40.870 --> 00:14:43.009
are real world models. Let's start with playbook

00:14:43.009 --> 00:14:45.590
one, the Valley Network. This goes back to Mark

00:14:45.590 --> 00:14:48.450
and Dave, the diner meeting. Right. They met

00:14:48.450 --> 00:14:50.110
at the diner, realized they were both in the

00:14:50.110 --> 00:14:51.830
same sinking boat, and then they moved the conversation

00:14:51.830 --> 00:14:54.730
to the kitchen table. But they didn't just commiserate.

00:14:54.730 --> 00:14:56.429
They didn't just complain about the government.

00:14:57.100 --> 00:14:59.700
They pooled their resources. And this is the

00:14:59.700 --> 00:15:01.500
genius part, and I want to get into the mechanics

00:15:01.500 --> 00:15:04.360
of this, because pooling resources sounds vague

00:15:04.360 --> 00:15:06.480
and kind of corporate. Right. What does it actually

00:15:06.480 --> 00:15:08.899
mean? They realized that navigating the immigration

00:15:08.899 --> 00:15:12.340
system is expensive, it's confusing, and it's

00:15:12.340 --> 00:15:15.779
scary. Dave had to contact an immigration attorney

00:15:15.779 --> 00:15:18.840
who knew cows and knew the law. That's a unicorn,

00:15:18.940 --> 00:15:20.840
by the way. You don't find that every day. It

00:15:20.840 --> 00:15:23.799
is. A huge advantage. And individually, maybe

00:15:23.799 --> 00:15:26.000
Mark couldn't afford to keep her on retainer.

00:15:26.019 --> 00:15:28.659
Maybe the hourly rate was just too scary to even

00:15:28.659 --> 00:15:31.539
consider. So they got a group together. Six,

00:15:31.700 --> 00:15:34.179
maybe ten neighboring farms. And they actually

00:15:34.179 --> 00:15:36.360
formalized it. They created a shared service

00:15:36.360 --> 00:15:39.879
agreement, almost like a limited liability partnership

00:15:39.879 --> 00:15:42.539
just for legal services. And they put the attorney

00:15:42.539 --> 00:15:45.200
on a monthly retainer. Let's say it's $2 ,000

00:15:45.200 --> 00:15:49.720
a month split six ways. That's roughly $330 a

00:15:49.720 --> 00:15:51.860
farm per month. That is the price of a few bags

00:15:51.860 --> 00:15:56.059
of mineral. Exactly. For $330 a month, Mark now

00:15:56.059 --> 00:15:58.779
has access to a top -tier immigration specialist

00:15:58.779 --> 00:16:02.340
on speed dial. They held monthly Zoom calls or

00:16:02.340 --> 00:16:04.799
kitchen table meetings with a laptop propped

00:16:04.799 --> 00:16:06.559
up on the counter. And what were they doing on

00:16:06.559 --> 00:16:07.980
these calls? They weren't just chatting about

00:16:07.980 --> 00:16:10.500
the weather. No, they were doing the hard work.

00:16:11.019 --> 00:16:13.500
They were scrubbing their I -9s. They were auditing

00:16:13.500 --> 00:16:15.600
their own employee files before the government

00:16:15.600 --> 00:16:18.799
did it for them. Proactive, not reactive. 100%.

00:16:18.799 --> 00:16:21.440
They were asking the tough questions. What if

00:16:21.440 --> 00:16:24.159
a case gets denied? What happens if the rules

00:16:24.159 --> 00:16:26.899
change next month? They were building a legal

00:16:26.899 --> 00:16:29.419
fortress around their labor force. And the benefit

00:16:29.419 --> 00:16:31.720
here wasn't just the legal advice, though that

00:16:31.720 --> 00:16:34.360
was crucial. The article points out it was about

00:16:34.360 --> 00:16:37.460
sharing the emotional load. Yes. There's a detail

00:16:37.460 --> 00:16:39.740
in the source about a co -op rep sitting in on

00:16:39.740 --> 00:16:42.179
one of these meetings. And he had this light

00:16:42.179 --> 00:16:45.940
bulb moment. He realized, you think this is policy?

00:16:46.320 --> 00:16:49.519
Our members live this at kitchen tables. That's

00:16:49.519 --> 00:16:51.860
a huge shift in perspective. It's not an abstract

00:16:51.860 --> 00:16:55.120
issue anymore. But the real win the payoff was

00:16:55.120 --> 00:16:58.000
the story about the worker handing Mark an envelope

00:16:58.000 --> 00:17:01.690
in the parlor. That moment. It changes everything,

00:17:01.870 --> 00:17:04.230
doesn't it? It does. Mark's standing there. One

00:17:04.230 --> 00:17:05.849
of his guys, who has been living in fear for

00:17:05.849 --> 00:17:08.069
years, fear of driving, fear of leaving the farm,

00:17:08.210 --> 00:17:10.289
hands him an envelope with his status approval,

00:17:10.529 --> 00:17:13.769
his green card. Wow. And he says, my daughter

00:17:13.769 --> 00:17:16.289
can grow up here now. That's stability. That

00:17:16.289 --> 00:17:18.450
man is not leaving for 50 cents more an hour

00:17:18.450 --> 00:17:20.750
down the road. He's planted. He's part of the

00:17:20.750 --> 00:17:23.490
community now. Exactly. You've created loyalty

00:17:23.490 --> 00:17:26.849
that money actually can't buy. You've created

00:17:26.849 --> 00:17:29.730
a future for his family on your farm. That's

00:17:29.730 --> 00:17:32.069
playbook one, the immigration support circle.

00:17:32.369 --> 00:17:34.789
Stop trying to navigate the legal system alone.

00:17:34.990 --> 00:17:37.869
It's too complex and it's too expensive. Okay,

00:17:37.890 --> 00:17:41.230
let's look at playbook two, technology plus people.

00:17:41.890 --> 00:17:45.069
This is the story of Tom and Sarah in Minnesota.

00:17:45.410 --> 00:17:47.230
This one is really interesting because usually

00:17:47.230 --> 00:17:49.630
when we talk about robots, we talk about replacing

00:17:49.630 --> 00:17:52.670
labor. Right. The narrative is always, I can't

00:17:52.670 --> 00:17:55.150
find milkers, so I'll buy Lili's or Delaval's

00:17:55.150 --> 00:17:57.730
and fire everyone. But Tom and Sarah did it differently.

00:17:58.170 --> 00:18:00.549
They didn't just buy robots to get rid of people.

00:18:00.730 --> 00:18:03.089
They used the transition to upskill their team.

00:18:03.529 --> 00:18:05.970
But the kitchen table twist here is who they

00:18:05.970 --> 00:18:07.970
invited to the planning meeting. Yeah, this is

00:18:07.970 --> 00:18:10.410
wild. They invited their vet, their nutritionist.

00:18:10.450 --> 00:18:12.869
And their pastor. To the machine shed to talk

00:18:12.869 --> 00:18:16.390
about buying milking robots. I love it because

00:18:16.390 --> 00:18:18.690
the pastor asked the question that the robot

00:18:18.690 --> 00:18:21.319
salesman never will. The salesman talks about

00:18:21.319 --> 00:18:23.740
milk flow and tea detachment and all the free

00:18:23.740 --> 00:18:26.259
time you'll have. The pastor asked, who are you

00:18:26.259 --> 00:18:28.420
going to call when something breaks at 2 a .m.?

00:18:28.420 --> 00:18:31.319
Because it will break. And if you two, Tom and

00:18:31.319 --> 00:18:33.180
Sarah, are the only ones answering that phone,

00:18:33.359 --> 00:18:35.380
you're still in prison. You just have a more

00:18:35.380 --> 00:18:39.400
expensive jail cell. That is profound. It's about

00:18:39.400 --> 00:18:42.119
creating a sustainable lifestyle, not just a

00:18:42.119 --> 00:18:46.299
more efficient milk harvest system. So how did

00:18:46.299 --> 00:18:48.420
they handle the workforce transition? Because

00:18:48.420 --> 00:18:50.839
taking a guy who has milked cows in a parlor

00:18:50.839 --> 00:18:53.099
for 10 years and putting him in front of a computer

00:18:53.099 --> 00:18:56.119
screen isn't easy. No, it's a huge culture shock,

00:18:56.259 --> 00:18:58.940
a huge learning curve. But they didn't fire the

00:18:58.940 --> 00:19:01.900
crew. They identified the ones who had that stock

00:19:01.900 --> 00:19:03.819
sense. You know, the ones people just get cows.

00:19:03.960 --> 00:19:06.319
Yeah. They had a milker. A woman who was tired

00:19:06.319 --> 00:19:08.420
of the physical grind, her wrists were hurting,

00:19:08.519 --> 00:19:10.359
her back was hurting. She learned to read the

00:19:10.359 --> 00:19:12.700
robot data. And what specifically did she learn?

00:19:12.759 --> 00:19:14.519
What does that look like? Well, she learned to

00:19:14.519 --> 00:19:16.599
look at conductivity graphs. For those who don't

00:19:16.599 --> 00:19:20.140
know, when salt levels in milk rise, conductivity

00:19:20.140 --> 00:19:23.079
goes up, which is a very early sign of mastitis.

00:19:23.259 --> 00:19:25.799
Okay. She learned to spot that little spike on

00:19:25.799 --> 00:19:29.400
a graph a full 24 hours before the cow ever showed

00:19:29.400 --> 00:19:32.220
clinical signs. Like chunks in the milk. So she's

00:19:32.220 --> 00:19:34.839
catching it before it's a real problem. The vet

00:19:34.839 --> 00:19:37.380
in the article said the robot gave numbers. She

00:19:37.380 --> 00:19:39.680
gave insight. That's the difference right there.

00:19:39.799 --> 00:19:43.160
You turn a laborer into a herd manager. You turn

00:19:43.160 --> 00:19:46.180
a physical job into an analytical one. And suddenly

00:19:46.180 --> 00:19:49.240
that job is a career. It's easier on the body.

00:19:49.299 --> 00:19:52.000
It engages the brain. And it pays better because

00:19:52.000 --> 00:19:54.119
the value she's providing is so much higher.

00:19:54.240 --> 00:19:56.299
And the impact on the next generation because

00:19:56.299 --> 00:19:58.700
this ties directly into succession. Oh, it's

00:19:58.700 --> 00:20:01.480
huge. Tom and Sarah's daughter, she had told

00:20:01.480 --> 00:20:03.579
them flat out, I'm not coming back to the farm.

00:20:03.660 --> 00:20:06.319
I see you guys exhausted. I want no part of this

00:20:06.319 --> 00:20:08.420
life. Which is a story we hear all the time.

00:20:08.539 --> 00:20:11.220
All the time. But after the transition, she started

00:20:11.220 --> 00:20:14.019
seeing the farm differently. It wasn't just physical

00:20:14.019 --> 00:20:16.119
drudgery anymore. It was data. It was management.

00:20:16.160 --> 00:20:18.559
It was genetics. The article says she started

00:20:18.559 --> 00:20:21.299
teaching 4 -H kids how to read melt flow graphs

00:20:21.299 --> 00:20:24.559
from the robot software. She saw a place where

00:20:24.559 --> 00:20:27.599
she could use her brain, not just her back. That's

00:20:27.599 --> 00:20:29.900
how you save the family farm. You make it a place

00:20:29.900 --> 00:20:31.680
people actually want to work, including your

00:20:31.680 --> 00:20:33.859
own kids. I'm into that. Okay, playbook three.

00:20:34.500 --> 00:20:36.940
This one is going to start a fight. I can feel

00:20:36.940 --> 00:20:40.200
it. Oh, yeah. Higher retention wages. This is

00:20:40.200 --> 00:20:42.789
the Jennifer model in Vermont. Yeah. Brace yourselves

00:20:42.789 --> 00:20:46.170
for this one. Jennifer, she's got a 150 -cow

00:20:46.170 --> 00:20:50.130
organic dairy, and she did the unthinkable. She

00:20:50.130 --> 00:20:52.609
opened the books to her employees. She showed

00:20:52.609 --> 00:20:54.630
them the financials, showed them exactly what

00:20:54.630 --> 00:20:57.190
turnover was costing the farm, that $25 ,000

00:20:57.190 --> 00:20:59.829
number we calculated earlier. And then she proposed

00:20:59.829 --> 00:21:02.950
a deal. She offered a high -wage package. We're

00:21:02.950 --> 00:21:06.450
tanking mid -20s per hour, plus housing, plus

00:21:06.450 --> 00:21:08.799
education support. I can hear the guys at the

00:21:08.799 --> 00:21:11.019
coffee shop right now slamming their mugs down.

00:21:11.180 --> 00:21:14.759
Mid -20s an hour. I can't pay that. Milk is 18

00:21:14.759 --> 00:21:17.319
bucks. I'm barely taking a draw myself. Of course.

00:21:18.400 --> 00:21:20.380
That's the gut reaction. But you have to look

00:21:20.380 --> 00:21:23.539
at the math. If you stop the churn, if you stop

00:21:23.539 --> 00:21:26.680
losing $25 ,000 every time someone quits, that

00:21:26.680 --> 00:21:29.359
money is there. It's just being redirected. Exactly.

00:21:29.779 --> 00:21:32.930
Instead of burning it on... Turnover waste, the

00:21:32.930 --> 00:21:35.710
training, the lost milk, the vet bills, you are

00:21:35.710 --> 00:21:38.049
putting it directly into your employees' paychecks.

00:21:38.170 --> 00:21:40.869
It's a reinvestment in your team. I get the logic.

00:21:41.069 --> 00:21:43.390
But the cash flow crunch to get there before

00:21:43.390 --> 00:21:46.190
you see the savings, that's scary. It is. It's

00:21:46.190 --> 00:21:48.410
a leap of faith. You have to believe the retention

00:21:48.410 --> 00:21:50.549
will happen before you see the savings on the

00:21:50.549 --> 00:21:52.690
profit and loss statement. But the result speaks

00:21:52.690 --> 00:21:55.130
for itself. The loyalty she bought with that

00:21:55.130 --> 00:21:58.529
transparency and that wage was incredible. There's

00:21:58.529 --> 00:21:59.829
the story about the neighbor in the article.

00:22:00.029 --> 00:22:02.289
Yes. This is the proof in the pudding right here.

00:22:02.430 --> 00:22:05.170
So a neighbor down the road, small tie stall

00:22:05.170 --> 00:22:08.650
herd, gets in a real jam. There's a family emergency.

00:22:08.930 --> 00:22:11.569
Their labor quits. No one to milk the cows. What

00:22:11.569 --> 00:22:14.730
a nightmare scenario. The worst. Jennifer's crew

00:22:14.730 --> 00:22:16.809
hears about it. Jennifer doesn't even have to

00:22:16.809 --> 00:22:19.190
ask them. They organize a schedule among themselves.

00:22:19.569 --> 00:22:21.589
They just stepped up on their own. One of her

00:22:21.589 --> 00:22:24.170
guys goes over there after his shift is done

00:22:24.170 --> 00:22:26.609
on Jennifer's farm, milks the neighbor's cows.

00:22:27.180 --> 00:22:29.900
washes the pipeline, and then refuses to take

00:22:29.900 --> 00:22:32.740
any money for it. Why? Why would he do that?

00:22:33.019 --> 00:22:36.180
Because they felt secure. They weren't scrambling

00:22:36.180 --> 00:22:38.640
for their own survival. They were paid well.

00:22:38.819 --> 00:22:41.059
They were treated like partners. So they had

00:22:41.059 --> 00:22:43.160
the mental and emotional capacity to help the

00:22:43.160 --> 00:22:45.460
community. They weren't living paycheck to paycheck.

00:22:45.579 --> 00:22:48.339
That's amazing. And then neighbors started pooling

00:22:48.339 --> 00:22:50.740
money to fix up an old farmhouse for shared worker

00:22:50.740 --> 00:22:52.960
housing. That's the kitchen table aspect again.

00:22:53.609 --> 00:22:55.829
Three different farms chipping in to fix a roof

00:22:55.829 --> 00:22:58.309
and replace some windows so that a worker family

00:22:58.309 --> 00:23:01.369
has a warm, safe place to live. It benefits everyone

00:23:01.369 --> 00:23:03.890
because now there is quality housing available

00:23:03.890 --> 00:23:06.490
in the area, making it more attractive for other

00:23:06.490 --> 00:23:08.869
workers. It creates an ecosystem where labor

00:23:08.869 --> 00:23:11.390
wants to stay, not just a job, but a community.

00:23:11.670 --> 00:23:14.009
Right. Okay, that brings us to the last one.

00:23:14.289 --> 00:23:17.849
Playbook 4. Refugee Partnership. This is the

00:23:17.849 --> 00:23:20.970
story of Jake and Emily in Wisconsin. This is

00:23:20.970 --> 00:23:23.049
a really cool one, but it requires a lot of patience.

00:23:23.230 --> 00:23:25.769
It's not a quick fix. So they hire a refugee

00:23:25.769 --> 00:23:28.410
through a local resettlement agency. He's from

00:23:28.410 --> 00:23:31.130
halfway around the world, maybe East Africa or

00:23:31.130 --> 00:23:34.390
Central America. But the key is he has livestock

00:23:34.390 --> 00:23:37.410
experience. He knows animals. But the challenge

00:23:37.410 --> 00:23:40.470
is obvious. Language barrier. Culture shock.

00:23:40.990 --> 00:23:43.529
Different milking styles, different ways of handling

00:23:43.529 --> 00:23:46.509
cattle. Right. The story talks about them using

00:23:46.509 --> 00:23:48.390
translation apps on their phones to communicate

00:23:48.390 --> 00:23:52.089
basic commands in the parlor. Cow, stop. Milk,

00:23:52.230 --> 00:23:54.470
it's awkward, it's slow. It's got to be frustrating

00:23:54.470 --> 00:23:56.029
for everyone involved. And the cows don't care

00:23:56.029 --> 00:23:58.250
about the app, though. No, the cows care about

00:23:58.250 --> 00:24:00.690
demeanor. And this guy knew cows. He had that

00:24:00.690 --> 00:24:02.869
quiet confidence around them. But the community

00:24:02.869 --> 00:24:05.890
fix here was the cultural night. You can't just

00:24:05.890 --> 00:24:07.990
have a stranger living in the bunkhouse and expect

00:24:07.990 --> 00:24:09.869
them to integrate. So tell us about the machine

00:24:09.869 --> 00:24:12.720
shed party. I love this image. They sweep out

00:24:12.720 --> 00:24:14.839
the machine shed, move the planter, move the

00:24:14.839 --> 00:24:17.579
skid loader. Emily makes a huge pot of chili

00:24:17.579 --> 00:24:20.220
and some apple crisp. The new family brings their

00:24:20.220 --> 00:24:23.779
traditional food, spicy stews, flatbreads, things

00:24:23.779 --> 00:24:25.680
the neighbors have never seen before. And was

00:24:25.680 --> 00:24:28.559
there venison sausage? It's Wisconsin. It's Wisconsin.

00:24:28.619 --> 00:24:30.579
If there isn't venison sausage, is it even a

00:24:30.579 --> 00:24:33.579
party? Of course, Pete from down the road brought

00:24:33.579 --> 00:24:36.339
the sausage. But think about the scene. You've

00:24:36.339 --> 00:24:39.299
got the local FFA kids setting up tables. You've

00:24:39.299 --> 00:24:41.559
got the mail carrier. You've got the grumpy uncle

00:24:41.559 --> 00:24:43.900
who never leaves his farm. And they're all sitting

00:24:43.900 --> 00:24:46.519
there eating chili and looking at photos on this

00:24:46.519 --> 00:24:49.579
guy's phone of his zebu cows back in his home

00:24:49.579 --> 00:24:52.779
country. It humanized the labor force. It wasn't

00:24:52.779 --> 00:24:55.380
the new worker or the immigrant. It was a father,

00:24:55.480 --> 00:24:58.380
a cattleman just like them. And it revitalized

00:24:58.380 --> 00:25:00.509
the community. It gave them a reason to gather

00:25:00.509 --> 00:25:03.089
that wasn't a funeral or a farm auction. It brought

00:25:03.089 --> 00:25:05.150
life back to the neighborhood. So those are the

00:25:05.150 --> 00:25:07.289
four playbooks. Immigration networks with legal

00:25:07.289 --> 00:25:10.730
teeth, tech plus, people with upskilling, high

00:25:10.730 --> 00:25:13.029
wages based on open books, and refugee partnerships

00:25:13.029 --> 00:25:16.069
built on community integration. And notice, none

00:25:16.069 --> 00:25:18.650
of them are easy. None of them are quick fixes.

00:25:18.809 --> 00:25:22.130
They all required effort, vulnerability, and

00:25:22.130 --> 00:25:25.650
connection. Let's move to segment four, the reality

00:25:25.650 --> 00:25:28.250
check. We need to hit some contrarian takes here.

00:25:28.349 --> 00:25:30.829
We've alluded to it, but let's be explicit. The

00:25:30.829 --> 00:25:33.970
suit fallacy. I'll say it again. Stop waiting

00:25:33.970 --> 00:25:36.089
for the farm bill. Stop waiting for immigration

00:25:36.089 --> 00:25:39.410
reform. I know we need it. The H -2A program

00:25:39.410 --> 00:25:42.250
is a mess for year round dairy. The system is

00:25:42.250 --> 00:25:45.009
broken. We all agree on that. But if you are

00:25:45.009 --> 00:25:47.630
waiting for a politician to fix your labor problem,

00:25:47.890 --> 00:25:51.150
you are going to go broke waiting. Absolutely.

00:25:51.410 --> 00:25:54.059
These farmers in the article, Mark. Jennifer,

00:25:54.140 --> 00:25:57.339
Tom Labor. They stopped waiting. They took control

00:25:57.339 --> 00:25:59.420
of what they could control, which was their own

00:25:59.420 --> 00:26:01.640
farm and their own neighborhood. And frankly,

00:26:01.720 --> 00:26:04.319
relying on that independent farmer mindset is

00:26:04.319 --> 00:26:06.920
a weakness here. It's a liability. Ooh, that's

00:26:06.920 --> 00:26:08.859
a tough one for a lot of people to swallow. We

00:26:08.859 --> 00:26:10.759
pride ourselves in independence. I can do it

00:26:10.759 --> 00:26:12.960
myself. I don't need help. But this article proves

00:26:12.960 --> 00:26:15.720
that independence is a liability in a labor crisis.

00:26:15.980 --> 00:26:18.420
If you're trying to solve this alone, you will

00:26:18.420 --> 00:26:20.779
fail. You just don't have the resources. No.

00:26:21.240 --> 00:26:23.579
You need the neighbor. You need the lawyer. You

00:26:23.579 --> 00:26:25.240
need the group. And it requires vulnerability.

00:26:25.640 --> 00:26:27.599
You have to be the one to pick up the phone and

00:26:27.599 --> 00:26:30.119
say, I'm not sleeping. You have to admit, I'm

00:26:30.119 --> 00:26:32.420
scared about making payroll next month. And that

00:26:32.420 --> 00:26:35.180
is terrifying for a farmer. We're supposed to

00:26:35.180 --> 00:26:38.000
be stoic. We're supposed to be tough. But look

00:26:38.000 --> 00:26:40.039
at what happened when Mark admitted it to Dave.

00:26:40.400 --> 00:26:43.660
The cowl re -arrived. His community showed up

00:26:43.660 --> 00:26:45.980
for him. Let's talk about the cost myth again,

00:26:46.099 --> 00:26:48.599
because I know listeners are still hung up on

00:26:48.599 --> 00:26:51.950
Jennifer paying mid -20s an hour. It's the difference

00:26:51.950 --> 00:26:55.529
between cost and investment. We don't buy the

00:26:55.529 --> 00:26:57.990
cheapest feed corn if we know it has mycotoxins

00:26:57.990 --> 00:27:01.569
because we know it'll kill production. We don't

00:27:01.569 --> 00:27:04.069
buy the cheapest semen if the genetics are garbage.

00:27:04.470 --> 00:27:06.390
Why do we think we can buy the cheapest labor

00:27:06.390 --> 00:27:09.150
and get a premium result? Cheap labor is expensive.

00:27:09.390 --> 00:27:12.390
High turnover is expensive. If paying $5 more

00:27:12.390 --> 00:27:14.710
an hour keeps a guy for five years instead of

00:27:14.710 --> 00:27:16.730
five months, that is the cheapest money you will

00:27:16.730 --> 00:27:20.089
ever spend. It pays for itself by stopping that

00:27:20.089 --> 00:27:24.029
$25 ,000 churn cycle. It's mathematically sound,

00:27:24.109 --> 00:27:26.670
even if it feels scary on the front end. It's

00:27:26.670 --> 00:27:29.650
open book logic. And if you show the employees

00:27:29.650 --> 00:27:32.569
the math, they get it too. They understand that

00:27:32.569 --> 00:27:34.950
their efficiency pays their wage. You can build

00:27:34.950 --> 00:27:37.750
incentives. If we keep somatic cell count under

00:27:37.750 --> 00:27:41.150
150 ,000, that's a bonus for everyone. If we

00:27:41.150 --> 00:27:44.250
catch 95 % of heats, that's a bonus. It makes

00:27:44.250 --> 00:27:45.990
them partners in the success of the business.

00:27:46.170 --> 00:27:48.859
Exactly. Let's look at segment five, future implications.

00:27:49.319 --> 00:27:52.039
We touched on Tom and Sarah's daughter, but this

00:27:52.039 --> 00:27:54.519
is really about succession. This is the elephant

00:27:54.519 --> 00:27:57.079
in the room for the entire industry. The average

00:27:57.079 --> 00:27:59.180
age of the American dairy farmer keeps climbing.

00:27:59.339 --> 00:28:03.200
It's hovering near 60. If we don't fix this labor

00:28:03.200 --> 00:28:05.559
and lifestyle equation, there's no one to take

00:28:05.559 --> 00:28:07.880
over. The farms will just disappear. The daughter

00:28:07.880 --> 00:28:10.279
in the story, she saw the shift. When the farm

00:28:10.279 --> 00:28:12.400
became about management, data, and community,

00:28:12.619 --> 00:28:15.079
rather than just endless, exhausting physical

00:28:15.079 --> 00:28:18.460
toil, She became interested again. It's about

00:28:18.460 --> 00:28:21.779
creating a farm that is survivable. Not just

00:28:21.779 --> 00:28:24.579
financially survivable, but emotionally and physically

00:28:24.579 --> 00:28:28.200
survivable. If the farm destroys your parents,

00:28:28.380 --> 00:28:31.099
you don't want it. If the farm supports your

00:28:31.099 --> 00:28:33.440
parents and gives them a good life, you might

00:28:33.440 --> 00:28:36.099
want in on that. And community resilience. The

00:28:36.099 --> 00:28:38.519
ripple effect, they meant. Yeah. The article

00:28:38.519 --> 00:28:40.539
mentions that even if a farm, for whatever reason,

00:28:40.619 --> 00:28:43.440
eventually has to sell out, these networks matter.

00:28:43.839 --> 00:28:46.339
When you have that kitchen table group, you aren't

00:28:46.339 --> 00:28:48.579
alone on sale day. Right. The neighbors show

00:28:48.579 --> 00:28:51.279
up. The church ladies bring lasagna. It's not

00:28:51.279 --> 00:28:53.839
just a business liquidation. It's a community

00:28:53.839 --> 00:28:56.220
supporting one of its own through a tough transition.

00:28:56.460 --> 00:28:59.059
It changes the exit strategy from a tragedy to

00:28:59.059 --> 00:29:01.240
a transition. Exactly. It's about exiting with

00:29:01.240 --> 00:29:04.359
dignity. Okay. We've covered a lot. We've unpacked

00:29:04.359 --> 00:29:06.740
the data, the biological costs, the legal structures,

00:29:06.880 --> 00:29:09.099
and the cultural shifts. Now let's get practical.

00:29:09.529 --> 00:29:11.309
A farmer is listening to this in the tractor

00:29:11.309 --> 00:29:13.630
or the truck. They're driving to the feed store.

00:29:14.250 --> 00:29:16.690
What are the actionable insights? What do they

00:29:16.690 --> 00:29:18.529
need to do? We've boiled this down to three things,

00:29:18.730 --> 00:29:21.650
immediate, medium -term, and long -term. Hit

00:29:21.650 --> 00:29:23.430
me with the immediate. What can they do this

00:29:23.430 --> 00:29:26.730
week? It's the coffee rule. Pick one neighbor,

00:29:26.869 --> 00:29:29.829
just one, not five, just one. Meet them at the

00:29:29.829 --> 00:29:32.809
diner or the shop or lean on the fence post and

00:29:32.809 --> 00:29:36.089
ask them honestly, what is one part of labor

00:29:36.089 --> 00:29:39.019
that is keeping you up at night? That's it. That's

00:29:39.019 --> 00:29:41.839
it. Stop pretending everything is fine. Break

00:29:41.839 --> 00:29:44.700
the seal. Just start the conversation. You don't

00:29:44.700 --> 00:29:47.279
have to start an LLC today or hire a lawyer.

00:29:47.400 --> 00:29:49.599
Just drink the coffee and tell the truth for

00:29:49.599 --> 00:29:52.220
10 minutes. I love that. It's a low barrier to

00:29:52.220 --> 00:29:55.099
entry, just coffee and truth. What about the

00:29:55.099 --> 00:29:57.460
medium term, say the next three to six months?

00:29:57.599 --> 00:29:59.700
The two -person stop sign. You need to decide

00:29:59.700 --> 00:30:02.059
right now as a management policy for your farm.

00:30:02.339 --> 00:30:04.779
If you lose more than two core employees in a

00:30:04.779 --> 00:30:07.480
single year, That is a stop sign. It's not a

00:30:07.480 --> 00:30:09.799
higher, faster sign. It's a full -on stop sign.

00:30:09.980 --> 00:30:11.480
So what do you do when you hit that stop sign?

00:30:11.619 --> 00:30:13.859
You stop. You call a meeting with an expert,

00:30:14.039 --> 00:30:16.859
your vet, an attorney, an extension agent, and

00:30:16.859 --> 00:30:19.839
a trusted neighbor, and you review why. You do

00:30:19.839 --> 00:30:21.839
a postmortem. Was it the waiters? Was it the

00:30:21.839 --> 00:30:24.059
housing? Was it the schedule? Was it a manager?

00:30:24.380 --> 00:30:26.680
You don't just put another warm body in the parlor.

00:30:26.880 --> 00:30:29.220
You fix the leak before you turn the water back

00:30:29.220 --> 00:30:32.519
on. That requires a ton of discipline. To actually

00:30:32.519 --> 00:30:34.980
stop when you are panicked and shorthanded is

00:30:34.980 --> 00:30:37.819
hard. It is. But panic hiring just leads to more

00:30:37.819 --> 00:30:40.160
panic firing six months later. You have to break

00:30:40.160 --> 00:30:42.299
the cycle. And the long term. What's the plan

00:30:42.299 --> 00:30:45.079
for one to two years out? Build your kitchen

00:30:45.079 --> 00:30:47.900
table cabinet. You need to formalize this support

00:30:47.900 --> 00:30:49.880
network, whether it's an immigration network

00:30:49.880 --> 00:30:52.940
like Mark and Dave or a shared housing co -op

00:30:52.940 --> 00:30:55.299
like Jennifer's Community or a partnership with

00:30:55.299 --> 00:30:57.940
a refugee agency. Stop managing labor alone.

00:30:58.539 --> 00:31:01.059
Look for resources. Build the infrastructure

00:31:01.059 --> 00:31:03.480
so that when the next crisis hits and it will

00:31:03.480 --> 00:31:06.059
pause, the table is already set and the people

00:31:06.059 --> 00:31:08.640
are already there. A kitchen table cabinet. I

00:31:08.640 --> 00:31:10.640
like that phrase. It's your board of directors,

00:31:10.740 --> 00:31:13.180
but with better food and more empathy. And probably

00:31:13.180 --> 00:31:16.039
dirtier boots. Definitely dirtier boots. You

00:31:16.039 --> 00:31:18.079
know, as we wrap this up, I keep thinking about...

00:31:18.809 --> 00:31:21.589
That image of the machine shed party. The cultural

00:31:21.589 --> 00:31:24.609
night. Yeah. People eating chili, talking about

00:31:24.609 --> 00:31:27.690
cows, with that smell of diesel and silage in

00:31:27.690 --> 00:31:31.349
the air. That is what a secure labor force looks

00:31:31.349 --> 00:31:34.269
like. It doesn't look like a perfectly compliant

00:31:34.269 --> 00:31:37.170
spreadsheet from HR. It looks like a community.

00:31:37.529 --> 00:31:39.390
It looks like people showing up for each other.

00:31:39.609 --> 00:31:42.289
It won't fix milk prices. I can't promise you

00:31:42.289 --> 00:31:45.170
$25 milk, but it might mean the barn is still

00:31:45.170 --> 00:31:47.880
lit tonight. and it might mean you aren't standing

00:31:47.880 --> 00:31:50.599
in there alone. That's a powerful place to leave

00:31:50.599 --> 00:31:52.440
it. This isn't just about business. It's about

00:31:52.440 --> 00:31:54.819
the life we are trying to build out here. Absolutely.

00:31:55.079 --> 00:31:57.299
This has been another Bullvine podcast from The

00:31:57.299 --> 00:31:59.839
Bullvine Podcast. We hope this sparked some ideas

00:31:59.839 --> 00:32:02.019
for your own kitchen table. For more straight

00:32:02.019 --> 00:32:04.799
-talking industry analysis and maybe fewer sugar

00:32:04.799 --> 00:32:09.000
-coated press releases, head on over to www .thebullvine

00:32:09.000 --> 00:32:12.759
.com. Subscribe wherever you get podcasts. We're

00:32:12.759 --> 00:32:14.839
out with new episodes every day. Keep your boots

00:32:14.839 --> 00:32:16.940
clean and we'll catch on the next one. Take care,

00:32:16.980 --> 00:32:17.140
everyone.
