WEBVTT 00:00:11.720 --> 00:00:15.060 Breaking free from the chains of the past Where 00:00:15.060 --> 00:00:18.820 truth moves faster than a Holstein calf No law 00:00:18.820 --> 00:00:21.660 waiting on some printed page We're charting new 00:00:21.660 --> 00:00:25.300 ground in the digital age From genomic codes 00:00:25.300 --> 00:00:29.120 to robot facts We cut through the noise, no hold 00:00:29.280 --> 00:00:32.460 them back not your daddy's dairy news tonight 00:00:32.460 --> 00:01:02.630 we're sparking Welcome back to the Bullvine Podcast, 00:01:02.990 --> 00:01:05.129 where we cut through dairy industry noise to 00:01:05.129 --> 00:01:07.109 get you the insights that actually matter for 00:01:07.109 --> 00:01:10.170 your operation. Glad to be here. Today, we're 00:01:10.170 --> 00:01:12.829 not going to debate the Class 3 futures or argue 00:01:12.829 --> 00:01:15.230 over the latest genomic catalog. No, we're going 00:01:15.230 --> 00:01:17.750 bigger picture, much bigger. We are focusing 00:01:17.750 --> 00:01:21.030 on the brutal, inescapable structural future 00:01:21.030 --> 00:01:23.930 of dairy. And this is probably the most essential 00:01:23.930 --> 00:01:26.469 and maybe the toughest deep dive we've done this 00:01:26.469 --> 00:01:29.329 year. We're going into a feature piece about 00:01:29.329 --> 00:01:32.000 the... bullvine dairy curve, which isn't just 00:01:32.000 --> 00:01:36.379 a hypothetical projection. It's a blunt, data 00:01:36.379 --> 00:01:40.060 -driven forecast of just how few farms will be 00:01:40.060 --> 00:01:43.400 milking in the U .S. and Canada by 2035 and, 00:01:43.480 --> 00:01:46.319 frighteningly, by 2050. And this isn't speculation, 00:01:46.319 --> 00:01:49.560 is it? This is just... It's an extrapolation 00:01:49.560 --> 00:01:51.260 to the math we've been watching accelerate for 00:01:51.260 --> 00:01:53.319 the last decade. It's just putting the trend 00:01:53.319 --> 00:01:55.719 line on the map. Okay, let's unpack this immediately 00:01:55.719 --> 00:01:58.459 because the context is not just tough, it's brutal, 00:01:58.540 --> 00:02:00.819 and it's happening right now in our own backyards. 00:02:01.040 --> 00:02:03.859 We just processed the latest USDA census data 00:02:03.859 --> 00:02:07.840 covering 2017 to 2022, and it showed a massive, 00:02:07.920 --> 00:02:12.000 massive acceleration. A 40 % drop in U .S. licensed 00:02:12.000 --> 00:02:15.699 herds in just five years. Forty. You have to 00:02:15.699 --> 00:02:17.939 say that slowly to really let it sink in. It's 00:02:17.939 --> 00:02:20.379 staggering. That's far faster than the long -term 00:02:20.379 --> 00:02:23.159 trend, which the USDA ERS had previously identified 00:02:23.159 --> 00:02:26.680 as a steady, was it a 4 % annual decline rate? 00:02:26.699 --> 00:02:29.180 Yeah, a 4 % clip, which already felt bad. This 00:02:29.180 --> 00:02:31.840 is a different animal entirely. It's the moment 00:02:31.840 --> 00:02:33.960 when the long -term trend stops being a chart 00:02:33.960 --> 00:02:36.199 and becomes a cliff. And it's critical for our 00:02:36.199 --> 00:02:38.000 Canadian listeners to hear this, too, because 00:02:38.000 --> 00:02:40.659 even under the shield of supply management, the 00:02:40.659 --> 00:02:43.000 structural pressures are inescapable. Absolutely. 00:02:43.060 --> 00:02:46.039 Canada went from, what, over 12 ,000 farms in 00:02:46.039 --> 00:02:49.819 2014 down to just over 9 ,200 in 2024. Now they're 00:02:49.819 --> 00:02:52.199 not immune. Not at all. That's a consistent... 00:02:52.599 --> 00:02:56.080 2 .6 % compound annual decline rate. So quota 00:02:56.080 --> 00:02:57.819 and stable pricing. Look, they slow the crash 00:02:57.819 --> 00:03:00.000 down, they act as a buffer, but they absolutely 00:03:00.000 --> 00:03:01.780 do not stop the underlying force of economies 00:03:01.780 --> 00:03:03.819 of scale and aging demographics. The process 00:03:03.819 --> 00:03:06.479 is structural, not cyclical. That's the key takeaway. 00:03:06.659 --> 00:03:08.580 You can't just wait for prices to get better 00:03:08.580 --> 00:03:11.280 to fix this. So let's define the stakes, because 00:03:11.280 --> 00:03:13.300 this is why the bullvine dairy curve demands 00:03:13.300 --> 00:03:16.020 your attention. If we follow the current trajectory, 00:03:16.300 --> 00:03:19.139 the baseline prediction is absolutely startling. 00:03:19.280 --> 00:03:22.379 It really is. We're looking at just 15 ,000 U 00:03:22.379 --> 00:03:26.620 .S. farms by 2035, and we dip below 10 ,000 by 00:03:26.620 --> 00:03:29.280 2050. And just to put that in perspective, we 00:03:29.280 --> 00:03:32.319 were at nearly 40 ,000 in 2017. Unbelievable. 00:03:33.050 --> 00:03:35.270 And even Canada, you know, the land of stable 00:03:35.270 --> 00:03:38.289 pricing, is projected to drop to between 4 ,000 00:03:38.289 --> 00:03:40.770 and 5 ,000 farms by 2050. I mean, that's losing 00:03:40.770 --> 00:03:43.289 half of the Canadian dairy industry in three 00:03:43.289 --> 00:03:45.830 decades. The survival criteria are being established 00:03:45.830 --> 00:03:48.229 this week, this month, this year. You look at 00:03:48.229 --> 00:03:51.250 that 15 ,000 number for the U .S. by 2035. That's 00:03:51.250 --> 00:03:53.409 just 11 years away. It's not our kids' problem. 00:03:53.509 --> 00:03:55.770 It's our problem. Right. Farms that fail to address 00:03:55.770 --> 00:03:58.150 their structural cost disadvantage, that put 00:03:58.150 --> 00:04:00.449 off solidifying their succession plan, or that 00:04:00.449 --> 00:04:02.949 make lazy, undisciplined... capital decisions 00:04:02.949 --> 00:04:05.050 in the next five to ten years. They're simply 00:04:05.050 --> 00:04:08.509 risking being quietly averaged out by this curve. 00:04:08.729 --> 00:04:11.030 The fundamental force of structural economics 00:04:11.030 --> 00:04:13.870 is stronger than the will of any individual farmer 00:04:13.870 --> 00:04:17.310 unless that will is focused and strategic. And 00:04:17.310 --> 00:04:19.370 the core challenge, the one that makes this so 00:04:19.370 --> 00:04:22.009 hard to swallow, is that the milk output isn't 00:04:22.009 --> 00:04:24.250 disappearing at all. No, not even a little bit. 00:04:24.310 --> 00:04:26.790 In fact, it's going up. The sources confirm total 00:04:26.790 --> 00:04:29.370 milk output keeps climbing due to higher productivity 00:04:29.370 --> 00:04:31.730 per cow genetics, better feeding, better cow 00:04:31.730 --> 00:04:34.829 management. It's simply concentrating into fewer, 00:04:34.850 --> 00:04:38.050 larger, lower cost systems. And there's the rub. 00:04:38.430 --> 00:04:40.870 Here's the painful truth the sources uncover. 00:04:41.110 --> 00:04:44.990 That leaves the average 150 to 500 cow commodity 00:04:44.990 --> 00:04:47.990 herd exposed to structural losses that are pegged 00:04:47.990 --> 00:04:51.529 at a devastating $75 ,000 to $100 ,000 per year. 00:04:51.730 --> 00:04:55.000 And we have to hammer this home. That $100 ,000 00:04:55.000 --> 00:04:57.160 isn't a bad year because of a feed price spike? 00:04:57.339 --> 00:04:59.899 No. That is the built -in cost disadvantage that 00:04:59.899 --> 00:05:01.939 exists before you factor in weather or a poor 00:05:01.939 --> 00:05:04.300 Class 3 price. Yeah. If you're a midsize operation 00:05:04.300 --> 00:05:06.540 trying to compete solely on volume in the commodity 00:05:06.540 --> 00:05:09.740 pool, you are structurally losing money every 00:05:09.740 --> 00:05:11.720 single year. You just don't see it. You just 00:05:11.720 --> 00:05:14.279 don't see it. Because it hides an undervalued 00:05:14.279 --> 00:05:16.959 family labor and improper depreciation on the 00:05:16.959 --> 00:05:20.160 tax forms. It's a quiet killer of equity. Which 00:05:20.160 --> 00:05:22.319 leads us right into the controversy preview. 00:05:22.810 --> 00:05:25.389 we're not here just to parrot this data we are 00:05:25.389 --> 00:05:27.189 here to challenge the narratives around it yeah 00:05:27.189 --> 00:05:29.689 the easy answers this deep dive isn't about if 00:05:29.689 --> 00:05:32.069 consolidation happens that ship sailed when the 00:05:32.069 --> 00:05:34.550 first parallel parlor was built it's about how 00:05:34.550 --> 00:05:37.389 fast and critically who is setting themselves 00:05:37.389 --> 00:05:40.100 up to survive it And that's the actionable part. 00:05:40.279 --> 00:05:43.160 We are going to unpack why technology, specifically 00:05:43.160 --> 00:05:47.040 robotics, is often sold as a silver bullet, but 00:05:47.040 --> 00:05:50.019 in reality is frequently just a high interest 00:05:50.019 --> 00:05:52.399 loan on a fundamentally broken margin. And we 00:05:52.399 --> 00:05:55.800 absolutely must challenge the widespread, deeply 00:05:55.800 --> 00:05:58.759 ingrained farmer assumption that staying average 00:05:58.759 --> 00:06:01.459 is defensible. Oh, that's a big one. We'll show 00:06:01.459 --> 00:06:04.180 you with the math that staying average is the 00:06:04.180 --> 00:06:06.360 single most expensive position you can occupy 00:06:06.360 --> 00:06:09.389 on this entire curve. unpack the three distinct 00:06:09.389 --> 00:06:12.339 future paths the model presents. baseline accelerated 00:06:12.339 --> 00:06:15.279 and managed transition and discuss the specific 00:06:15.279 --> 00:06:17.939 policy shocks. Like what? Like removing margin 00:06:17.939 --> 00:06:21.199 safety nets or, and this is a big one, a major 00:06:21.199 --> 00:06:25.019 government mandated quota crash in Canada that 00:06:25.019 --> 00:06:27.379 could push the industry to those extremes much 00:06:27.379 --> 00:06:29.439 faster than we expect. All right, let's do it. 00:06:29.540 --> 00:06:31.879 Let's stop looking at the horizon and jump straight 00:06:31.879 --> 00:06:33.879 into the data reality check that defines our 00:06:33.879 --> 00:06:35.720 starting point. Okay, let's dive in. The starting 00:06:35.720 --> 00:06:38.279 gun for this entire conversation is that jaw 00:06:38.279 --> 00:06:42.319 -dropping 2022 U .S. DA census data. It really 00:06:42.319 --> 00:06:46.800 is. We went from 39 ,303 farms in 2017 down to 00:06:46.800 --> 00:06:51.480 24 ,094 in 2022, a near 40 % decline in five 00:06:51.480 --> 00:06:53.620 years. Yeah. You've been on farms your whole 00:06:53.620 --> 00:06:56.480 life. When you see a contraction of that magnitude 00:06:56.480 --> 00:06:59.540 in such a short window, what's the practical 00:06:59.540 --> 00:07:01.800 implication beyond just the number? What does 00:07:01.800 --> 00:07:03.879 that feel like on the ground? It feels like a 00:07:03.879 --> 00:07:06.399 light's going out in a rural community. The practical 00:07:06.399 --> 00:07:08.519 implication is regional supply chain collapse. 00:07:08.740 --> 00:07:11.420 It means that small regional co -ops lose volume 00:07:11.420 --> 00:07:14.480 density, their haul costs spike, and then they 00:07:14.480 --> 00:07:16.480 suddenly can't compete for processing contracts, 00:07:16.699 --> 00:07:18.779 which leads to more plant closures, which then 00:07:18.779 --> 00:07:20.879 dries up the local procurement options for the 00:07:20.879 --> 00:07:23.180 few farms that remain. It's a vicious cycle, 00:07:23.319 --> 00:07:26.180 a death spiral for a region. It is. The milk 00:07:26.180 --> 00:07:29.079 didn't vanish. It just moved houses, often next 00:07:29.079 --> 00:07:31.779 door or a few states over, to where the processing 00:07:31.779 --> 00:07:34.620 infrastructure is modern and centralized. And 00:07:34.620 --> 00:07:36.339 what's fascinating here, confirming your point 00:07:36.339 --> 00:07:38.920 on centralization, is that the total cow count 00:07:38.920 --> 00:07:41.519 remained fairly stable, and total U .S. milk 00:07:41.519 --> 00:07:44.180 output actually increased by 5 % during that 00:07:44.180 --> 00:07:46.910 same five -year period. Right. More milk. Way 00:07:46.910 --> 00:07:49.069 fewer farms. We're producing more with fewer 00:07:49.069 --> 00:07:51.790 people, fewer farms, and roughly the same number 00:07:51.790 --> 00:07:54.389 of cows. It's wild. It's the ultimate confirmation 00:07:54.389 --> 00:07:57.269 of efficiency games. I mean, genetics are better, 00:07:57.389 --> 00:08:00.170 nutrition is more precise, cow flow systems are 00:08:00.170 --> 00:08:02.769 optimized. It confirms that this isn't simply 00:08:02.769 --> 00:08:05.329 attrition. No. It's an industry -wide transformation 00:08:05.329 --> 00:08:08.189 driven by technology and capital utilization. 00:08:08.589 --> 00:08:11.110 And the data tells us exactly where that capital 00:08:11.110 --> 00:08:13.879 is flying. Where? The only U .S. size class that 00:08:13.879 --> 00:08:16.279 actually grew a number between 2017 and 2022 00:08:16.279 --> 00:08:20.620 was the 2 ,500 plus cow operation. The only one 00:08:20.620 --> 00:08:22.600 that grew. The only one. Every other category 00:08:22.600 --> 00:08:25.019 shrank. That is the destination of the milk, 00:08:25.079 --> 00:08:27.560 plain and simple. The structural shift is undeniable. 00:08:28.060 --> 00:08:32.960 Our current U .S. baseline as of 2024 is 24 ,811 00:08:32.960 --> 00:08:36.919 licensed herds, averaging 377 cows per herd. 00:08:37.039 --> 00:08:39.299 Yeah. We have completely left the era of the 00:08:39.299 --> 00:08:41.059 100 -cow average. That's a postcard from the 00:08:41.059 --> 00:08:43.860 past at this point. Exactly. And this shift is 00:08:43.860 --> 00:08:46.039 what allows the bullvine curve model to project 00:08:46.039 --> 00:08:49.049 its findings with such confidence. The critical 00:08:49.049 --> 00:08:52.309 input is the USDA ERS consolidation studies, 00:08:52.590 --> 00:08:55.389 which pegged the long -term U .S. decline rate 00:08:55.389 --> 00:09:00.100 between 2012 and 2019 at 4 % annually. If we 00:09:00.100 --> 00:09:02.799 just extend that known measurable 4 % decline 00:09:02.799 --> 00:09:05.120 rate, which is baseline scenario one, we land 00:09:05.120 --> 00:09:08.679 precisely on 14 ,800 farms by 2035 and just 9 00:09:08.679 --> 00:09:12.059 ,300 by 2050. It sounds catastrophic. Yeah. But 00:09:12.059 --> 00:09:13.620 it's just the continuation of known history. 00:09:13.679 --> 00:09:15.440 It's just the math playing out. It is. And that 00:09:15.440 --> 00:09:17.019 leads us to the model validation. We need to 00:09:17.019 --> 00:09:18.740 tell our listeners why these models are credible, 00:09:18.799 --> 00:09:20.720 why this isn't just a scare tactic. Good point. 00:09:20.960 --> 00:09:23.399 So the models use things like Markov transition 00:09:23.399 --> 00:09:25.320 and hazard models. They fit the historical data 00:09:25.320 --> 00:09:27.600 incredibly well. We're talking a mean absolute 00:09:27.600 --> 00:09:31.259 percentage error or MAPE of just 1 .1 to 1 .3 00:09:31.259 --> 00:09:33.080 percent. OK, let's slow down and explain that 00:09:33.080 --> 00:09:36.120 in farmer English. What is a hazard model and 00:09:36.120 --> 00:09:37.919 why should a producer care that it's accurate? 00:09:38.379 --> 00:09:41.820 Right. So think of the hazard model as a risk 00:09:41.820 --> 00:09:45.100 scorecard applied to every dairy farm. It's not 00:09:45.100 --> 00:09:48.240 magic. It doesn't predict which specific farm 00:09:48.240 --> 00:09:51.059 will exit. but it predicts the probability of 00:09:51.059 --> 00:09:54.299 exit based on measurable factors. It says, if 00:09:54.299 --> 00:09:57.500 you are a 65 -year -old operator, factor A, running 00:09:57.500 --> 00:10:00.860 100 cows, factor B, and your margin is stressed, 00:10:01.139 --> 00:10:03.860 factor C, your calculated risk of exiting in 00:10:03.860 --> 00:10:06.769 the next 12 months is, say, 18%. So it's like 00:10:06.769 --> 00:10:09.490 an insurance actuary for farms. It's just calculating 00:10:09.490 --> 00:10:12.409 risk based on known variables. Exactly. And it 00:10:12.409 --> 00:10:14.309 turns out that demographic factors like age and 00:10:14.309 --> 00:10:17.190 size are highly quantifiable predictors of exit 00:10:17.190 --> 00:10:19.289 risk, totally separate from the market price 00:10:19.289 --> 00:10:21.429 volatility. That's the key. This is bigger than 00:10:21.429 --> 00:10:23.549 the price of milk. Precisely. The hazard model 00:10:23.549 --> 00:10:25.669 shows that herd size and operator demographics 00:10:25.669 --> 00:10:28.129 are the dominant predictors. You can weather 00:10:28.129 --> 00:10:31.230 a bad price year, which is cyclical, but you 00:10:31.230 --> 00:10:33.870 can't outrun aging or the fixed costs associated 00:10:33.870 --> 00:10:36.700 with smaller scale. which is structural. That's 00:10:36.700 --> 00:10:38.759 the difference. Now let's look at Canada again. 00:10:38.899 --> 00:10:41.759 The contrast is instructive because Canada, with 00:10:41.759 --> 00:10:44.679 price stability and higher farmgate prices, what 00:10:44.679 --> 00:10:47.860 is it, $97 per hectolitre? Yeah, around there. 00:10:47.940 --> 00:10:50.899 They still see a 2 .6 % compound annual decline 00:10:50.899 --> 00:10:54.000 rate. So why does the protection of quota fail 00:10:54.000 --> 00:10:57.559 to stop a consolidation? It fails because quota 00:10:57.559 --> 00:10:59.940 protects price, but it doesn't protect against 00:10:59.940 --> 00:11:03.139 structural costs. Labor scarcity is massive in 00:11:03.139 --> 00:11:05.340 Canada, often worse than the U .S. Really? Oh 00:11:05.340 --> 00:11:07.620 yeah. And capital requirements for modern facilities 00:11:07.620 --> 00:11:10.700 like robotics and freestalls are still enormous. 00:11:11.299 --> 00:11:13.830 And most importantly, succession failure. is 00:11:13.830 --> 00:11:16.269 just as rampant. So it's the same human factors. 00:11:16.450 --> 00:11:18.789 It is. If a young Canadian farmer needs to take 00:11:18.789 --> 00:11:21.289 on millions in quoted debt and millions more 00:11:21.289 --> 00:11:24.029 in facility upgrades to sustain a 120 -cow operation, 00:11:24.370 --> 00:11:26.330 they often decide the return on effort isn't 00:11:26.330 --> 00:11:28.649 there, even with a guaranteed price. The leader 00:11:28.649 --> 00:11:30.690 concentration is the common denominator in both 00:11:30.690 --> 00:11:34.049 countries. Canada saw a 23 % production increase 00:11:34.049 --> 00:11:37.909 between 2014 and 2024, while farm numbers fell 00:11:37.909 --> 00:11:40.549 by thousands. The milk converges into larger 00:11:40.549 --> 00:11:43.370 systems because fundamentally that's what processors 00:11:43.370 --> 00:11:45.789 demand and what modern technology facilitates. 00:11:45.870 --> 00:11:48.710 And that matters hugely to the leverage equation, 00:11:48.990 --> 00:11:51.429 which we'll get into. A processor needs volume, 00:11:51.610 --> 00:11:55.450 consistency, and a low cost to haul ratio. Dealing 00:11:55.450 --> 00:11:59.070 with 10 ,000 cow dairies is vastly more efficient 00:11:59.070 --> 00:12:02.210 than dealing with 100 cow dairies. It's just 00:12:02.210 --> 00:12:04.409 business. And that model validation with that 00:12:04.409 --> 00:12:07.870 incredibly tight 1 .1 % error rate gives serious 00:12:07.870 --> 00:12:12.330 credibility to the 2035 and 2050 forecasts. We 00:12:12.330 --> 00:12:14.230 aren't making this up. The math is just following 00:12:14.230 --> 00:12:15.970 the trend line. Let's follow that trend line 00:12:15.970 --> 00:12:18.009 directly into the wallet and see exactly why 00:12:18.009 --> 00:12:21.009 that middle segment, the 150 to 500 cow farm, 00:12:21.129 --> 00:12:23.929 is being decimated. The structural loss is the 00:12:23.929 --> 00:12:26.490 key concept here. It's what differentiates a 00:12:26.490 --> 00:12:28.610 bad year from an unsustainable business model. 00:12:28.769 --> 00:12:31.149 Yes, this is the nut of the issue. The deep dive 00:12:31.149 --> 00:12:34.059 hits us right away with the core data. The USDA 00:12:34.059 --> 00:12:37.179 ERS RMS data consistently shows that operating 00:12:37.179 --> 00:12:40.259 cost is $42 .70 per 100 weight for the smallest 00:12:40.259 --> 00:12:42.379 herds. The under 50 cow herds, yeah. Versus a 00:12:42.379 --> 00:12:45.379 staggering $19 .14 for a 100 weight for the 2 00:12:45.379 --> 00:12:48.460 ,000 plus cow operations. I mean, that gap is 00:12:48.460 --> 00:12:52.379 so massive. Over $23 a 100 weight, it seems almost 00:12:52.379 --> 00:12:55.860 theoretical. But it's not. It's real efficiencies 00:12:55.860 --> 00:12:58.600 in purchasing, labor, and capital utilization. 00:12:59.019 --> 00:13:02.470 And the smallest guys, under 50 cows. They might 00:13:02.470 --> 00:13:04.649 survive, right? They might because their capital 00:13:04.649 --> 00:13:07.250 costs are nearly zero and their labor is purely 00:13:07.250 --> 00:13:09.629 family subsistence. They aren't trying to make 00:13:09.629 --> 00:13:12.710 a living in the same way. But the middle, the 00:13:12.710 --> 00:13:16.690 150 to 500 cow operation is the one that is truly 00:13:16.690 --> 00:13:19.210 trying to compete and failing structurally. They're 00:13:19.210 --> 00:13:21.870 in the crosshairs. These mid -sized farms have 00:13:21.870 --> 00:13:24.610 enough debt to require significant cash flow, 00:13:24.809 --> 00:13:27.049 enough employees to suffer the labor shortage, 00:13:27.269 --> 00:13:29.450 and enough volume to be exposed to commodity 00:13:29.450 --> 00:13:31.730 pricing. But not enough scale. But they lack 00:13:31.730 --> 00:13:34.190 the scale to maximize any of those inputs. They're 00:13:34.190 --> 00:13:36.840 stuck. They are running average or even slightly 00:13:36.840 --> 00:13:39.659 above average cost structures, but they are fully 00:13:39.659 --> 00:13:42.220 exposed to the commodity pricing set by the $19 00:13:42.220 --> 00:13:44.480 producers. And that is where the structural loss 00:13:44.480 --> 00:13:46.860 hides. The sources are clear. These farms are 00:13:46.860 --> 00:13:50.600 bleeding $75 ,000 to $100 ,000 per year in quiet 00:13:50.600 --> 00:13:52.860 losses. What is that term? Wait, let's define 00:13:52.860 --> 00:13:55.220 quiet loss because that term is central to this 00:13:55.220 --> 00:13:58.179 curve analysis. How do you as a farmer calculate 00:13:58.179 --> 00:14:00.759 that number when your checkbook might still show 00:14:00.759 --> 00:14:02.980 positive cash flow at the end of the year? That's 00:14:02.980 --> 00:14:06.039 the trick. It's quiet because it doesn't show 00:14:06.039 --> 00:14:09.139 up as a line item on the tax return. A quiet 00:14:09.139 --> 00:14:11.940 loss means you are failing to account for two 00:14:11.940 --> 00:14:15.039 crucial things. What are they? One, the real 00:14:15.039 --> 00:14:17.259 replacement cost appreciation of your facilities 00:14:17.259 --> 00:14:20.259 and equipment. And two, the opportunity cost 00:14:20.259 --> 00:14:23.200 of your family's labor. So you aren't using the 00:14:23.200 --> 00:14:25.700 IRS depreciation schedule, which is, you know, 00:14:25.720 --> 00:14:27.980 a fantasy number. You're calculating what it 00:14:27.980 --> 00:14:30.360 would actually cost to replace your parlor or 00:14:30.360 --> 00:14:33.220 manure system today. Exactly. And for labor, 00:14:33.399 --> 00:14:35.460 what's a realistic wage you should assign to 00:14:35.460 --> 00:14:37.779 yourself, your spouse, or your kids who are working 00:14:37.779 --> 00:14:40.759 full time? Not zero. Not zero. You should assign, 00:14:41.059 --> 00:14:43.919 at minimum, $40 an hour for skilled management 00:14:43.919 --> 00:14:46.559 and maintenance labor. If you calculate that 00:14:46.559 --> 00:14:48.519 the farmer and spouse are putting in 60 hours 00:14:48.519 --> 00:14:52.519 a week each, that's $4 ,800 a week, or roughly 00:14:52.519 --> 00:14:54.720 a quarter million dollars a year in true labor 00:14:54.720 --> 00:14:57.940 cost. If your income isn't replacing that, you 00:14:57.940 --> 00:15:01.899 are structurally losing $100 ,000 a year, even 00:15:01.899 --> 00:15:04.259 if you feed your family. You are sacrificing 00:15:04.259 --> 00:15:07.379 generational equity to stay afloat. Let's use 00:15:07.379 --> 00:15:09.320 that specific example from the Upper Midwest 00:15:09.320 --> 00:15:12.840 producer cited in the deep dive. This 320 cow 00:15:12.840 --> 00:15:15.980 operation ran the full analysis, including realistic 00:15:15.980 --> 00:15:18.559 labor and depreciation. Yeah, this was a great 00:15:18.559 --> 00:15:21.500 case study. They found a structural gap of 72 00:15:21.500 --> 00:15:24.960 cents per 100 ET. Over their total production, 00:15:25.200 --> 00:15:28.879 that amounted to $95 ,000 a year in quiet losses. 00:15:29.059 --> 00:15:31.080 And that's not a bad year. That's a normal year. 00:15:31.279 --> 00:15:33.279 Right. It's just heartbreaking. It is because 00:15:33.279 --> 00:15:35.720 that $95 ,000 is the equity that should be going 00:15:35.720 --> 00:15:37.899 into the retirement account or the new barn roof 00:15:37.899 --> 00:15:39.799 or the down payment for the next generation. 00:15:40.200 --> 00:15:43.360 Instead, it's evaporating. So you can survive 00:15:43.360 --> 00:15:45.360 that for a few years. You can survive it for 00:15:45.360 --> 00:15:47.100 five years, but what happens when you need a 00:15:47.100 --> 00:15:49.759 major capital upgrade or the kids need college 00:15:49.759 --> 00:15:51.879 tuition? You don't have the cushion. The curve 00:15:51.879 --> 00:15:54.639 averages you out. So beyond the internal cost 00:15:54.639 --> 00:15:58.039 structure, what are the external economic predictors 00:15:58.039 --> 00:16:00.940 that the hazard model shows drive the exit? The 00:16:00.940 --> 00:16:03.399 primary financial stress indicator is the milk 00:16:03.399 --> 00:16:07.679 feed margin. Historically, Ratios below 2 .5 00:16:07.679 --> 00:16:10.500 to 1 trigger financial stress and significantly 00:16:10.500 --> 00:16:13.200 elevated exit rates. And the model quantifies 00:16:13.200 --> 00:16:15.500 this. It does. It shows the leverage of margin. 00:16:15.980 --> 00:16:19.100 Each $1 per 100 weight improvement in margin 00:16:19.100 --> 00:16:23.039 reduces the exit probability by 14%. That is 00:16:23.039 --> 00:16:26.320 a massive lever. It's huge. It confirms why efficiency 00:16:26.320 --> 00:16:29.080 and cost control are survival mechanisms. But 00:16:29.080 --> 00:16:31.659 the macroeconomic forces have been equally punishing 00:16:31.659 --> 00:16:34.360 lately, specifically interest rates. Oh, absolutely 00:16:34.360 --> 00:16:37.539 brutal. We saw massive increases in 2022, 2024, 00:16:38.019 --> 00:16:42.240 loans jumping from 3 % to 7%. That just crushes 00:16:42.240 --> 00:16:44.580 debt service, particularly for recent expanders. 00:16:44.679 --> 00:16:47.340 Crushes them. The model confirms that too. Each 00:16:47.340 --> 00:16:49.779 percentage point rise in rates leads to a 13 00:16:49.779 --> 00:16:52.799 % higher exit probability. Wow. If a mid -sized 00:16:52.799 --> 00:16:55.299 farm leveraged up at 3 % to build a new manure 00:16:55.299 --> 00:16:57.799 lagoon or buy land, and their payments have now 00:16:57.799 --> 00:17:00.179 doubled, that structural loss suddenly jumps 00:17:00.179 --> 00:17:03.460 from $95 ,000 to $130 ,000. They become cash 00:17:03.460 --> 00:17:06.180 flow negative instantly, and the bank initiates 00:17:06.180 --> 00:17:09.039 the exit conversation. And finally, let's talk 00:17:09.039 --> 00:17:11.440 about the oligopsony risk processor concentration, 00:17:11.819 --> 00:17:14.579 because this is often overlooked but extremely 00:17:14.579 --> 00:17:16.920 powerful in accelerating the curve. Yeah, that's 00:17:16.920 --> 00:17:19.299 a fancy word, but the concept is simple. So what 00:17:19.299 --> 00:17:21.799 is it? The oligopsony risk is simple. It's too 00:17:21.799 --> 00:17:25.240 few buyers holding too much power. When the Herfindl 00:17:25.240 --> 00:17:28.799 -Hirschman Index, or HHI, which measures processor 00:17:28.799 --> 00:17:31.059 market power for procurement in a regional shed 00:17:31.059 --> 00:17:33.579 gets high, there are consistently lower farm 00:17:33.579 --> 00:17:36.579 gate premiums. So a high HHI means practically 00:17:36.579 --> 00:17:40.019 for the 300 cow farmer, what? It means they lose 00:17:40.019 --> 00:17:42.240 leverage completely. If there are only two or 00:17:42.240 --> 00:17:44.839 three plants within 100 miles, Those processors 00:17:44.839 --> 00:17:47.299 can dictate terms. They hold all the cards. They 00:17:47.299 --> 00:17:49.980 do. They gain leverage and, critically, they 00:17:49.980 --> 00:17:52.079 favor the low -cost, high -volume suppliers, 00:17:52.539 --> 00:17:55.039 the 1 ,000 -plus cowherds, because it makes their 00:17:55.039 --> 00:17:58.180 job cheaper. The mid -sized farm might face longer 00:17:58.180 --> 00:18:00.680 haul distances, fewer options for specialized 00:18:00.680 --> 00:18:03.440 components like organic milk, and a price that 00:18:03.440 --> 00:18:05.839 is perpetually 50 cents lower than their larger 00:18:05.839 --> 00:18:08.460 neighbor. This trend actively accelerates consolidation 00:18:08.460 --> 00:18:10.680 by choking the market access for the middle. 00:18:11.039 --> 00:18:13.359 Exactly. It squeezes them from both the cost 00:18:13.359 --> 00:18:16.140 side and the revenue side. So if the middle is 00:18:16.140 --> 00:18:18.839 a structural death zone, what is the strategy 00:18:18.839 --> 00:18:22.680 for the genuinely small farm, say, under 150 00:18:22.680 --> 00:18:25.339 cows? They cannot compete on cost. Full stop. 00:18:25.660 --> 00:18:28.420 The small farms surviving in this size class 00:18:28.420 --> 00:18:31.380 are deliberately on average. I like that phrase. 00:18:31.660 --> 00:18:33.619 They have actively chosen the specialized lane. 00:18:33.900 --> 00:18:35.880 They were serving a completely different customer 00:18:35.880 --> 00:18:39.839 base. Think organic, grass -based, A2, or on 00:18:39.839 --> 00:18:43.059 -farm processing, like artisanal cheese or bottled 00:18:43.059 --> 00:18:45.599 milk. That distinction is essential. If you are 00:18:45.599 --> 00:18:48.259 a 100 -cow conventional farm shipping into a 00:18:48.259 --> 00:18:51.839 generic pool, you are effectively a 120th scale 00:18:51.839 --> 00:18:54.740 version of a mega dairy. And the mega dairy will 00:18:54.740 --> 00:18:57.630 always win on cost. Always. The small farm must 00:18:57.630 --> 00:19:00.049 win on premium. So it's about price, not volume. 00:19:00.329 --> 00:19:02.569 Yes. They need to focus on generating a premium 00:19:02.569 --> 00:19:05.089 that ensures they are being paid $3 to $5 per 00:19:05.089 --> 00:19:07.289 hundredweight more than the commodity price to 00:19:07.289 --> 00:19:09.890 offset that structural cost disadvantage. If 00:19:09.890 --> 00:19:12.049 you can't get that premium, the cost data says 00:19:12.049 --> 00:19:13.829 you are already on the exit ramp, regardless 00:19:13.829 --> 00:19:16.170 of how well you manage your fresh cows. Let's 00:19:16.170 --> 00:19:18.269 transition now to what many farmers see as the 00:19:18.269 --> 00:19:21.069 great hope technology and see why the data suggests 00:19:21.069 --> 00:19:23.670 that for most, it's actually an accelerant for 00:19:23.670 --> 00:19:27.170 the curve, not a savior. Technology is often 00:19:27.170 --> 00:19:29.970 marketed as the key to survival for the midsize 00:19:29.970 --> 00:19:33.130 farm. The idea is that robotics, precision feeding, 00:19:33.170 --> 00:19:37.049 and sensors allow a 250 -cow herd to achieve 00:19:37.049 --> 00:19:40.269 the labor efficiency of a 1 ,000 -cow herd. But 00:19:40.269 --> 00:19:43.930 the deep dive is skeptical. Why? Because technology 00:19:43.930 --> 00:19:46.470 is a two -edged sword, and for many, it cuts 00:19:46.470 --> 00:19:49.329 the wrong way. The data confirms adoption is 00:19:49.329 --> 00:19:52.130 strongly size -dependent. Larger farms adopt 00:19:52.130 --> 00:19:54.109 first because they have the capital and the scale 00:19:54.109 --> 00:19:56.269 to justify the immediate returns. So they get 00:19:56.269 --> 00:19:58.509 a head start. A huge one. And if you don't adopt, 00:19:58.670 --> 00:20:00.650 the models estimate you face increasing competitive 00:20:00.650 --> 00:20:03.369 disadvantage, a secular consolidation pressure 00:20:03.369 --> 00:20:06.069 rising about 2 % per year. You're falling behind 00:20:06.069 --> 00:20:08.390 just by staying put. Literally. Let's drill into 00:20:08.390 --> 00:20:10.609 robotics, which is the most visible capital expense. 00:20:10.990 --> 00:20:13.630 Adoption is growing, especially in Canada, up 00:20:13.630 --> 00:20:15.690 to 20 % of herds there because of labor costs. 00:20:15.789 --> 00:20:18.390 All right. The benefit is clear, 25 % to 35 % 00:20:18.390 --> 00:20:21.339 reduction in labor requirements. It solves the 00:20:21.339 --> 00:20:24.440 labor scarcity problem on paper. But here is 00:20:24.440 --> 00:20:26.619 the robot reality check that needs to be shouted 00:20:26.619 --> 00:20:28.819 from the rooftops. Okay, let's hear it. While 00:20:28.819 --> 00:20:31.240 automated milking systems trade variable labor 00:20:31.240 --> 00:20:34.099 costs for fixed capital costs, those fixed costs 00:20:34.099 --> 00:20:37.539 are enormous. We're talking $200 ,000 to $250 00:20:37.539 --> 00:20:40.819 ,000 per milking unit, which easily becomes a 00:20:40.819 --> 00:20:43.339 multi -million dollar commitment for a mid -sized 00:20:43.339 --> 00:20:45.819 barn. And that investment has to pencil out. 00:20:46.079 --> 00:20:48.259 I'm playing devil's advocate here. Many farmers 00:20:48.259 --> 00:20:50.819 argue that the improved lifestyle, the flexibility 00:20:50.819 --> 00:20:53.799 or the massive tax deduction on that capital 00:20:53.799 --> 00:20:56.200 investment makes the risk worthwhile, especially 00:20:56.200 --> 00:20:58.819 if they had a good margin year. Why is that counter 00:20:58.819 --> 00:21:01.599 argument often flawed? Because debt service is 00:21:01.599 --> 00:21:04.500 immune to lifestyle improvement. That massive 00:21:04.500 --> 00:21:07.259 loan requires actual cash flow every single month, 00:21:07.299 --> 00:21:10.660 whether milk is at $25 or $17. Yeah, the bank 00:21:10.660 --> 00:21:12.440 doesn't care about your lifestyle. Not one bit. 00:21:12.559 --> 00:21:14.900 And the data shows that those critical 150 to 00:21:14.900 --> 00:21:17.259 250 cow operations that are already suffering 00:21:17.259 --> 00:21:20.299 the quiet loss need to generate $400 to $500 00:21:20.299 --> 00:21:23.559 per cow per year in new savings or extra milk 00:21:23.559 --> 00:21:26.410 just to cover the financing of that debt. $400 00:21:26.410 --> 00:21:30.029 to $500 per cow per year. Yeah. That is almost 00:21:30.029 --> 00:21:32.130 impossible to generate if your current efficiency 00:21:32.130 --> 00:21:34.410 metrics are just average. You have to be a top 00:21:34.410 --> 00:21:37.150 -tier producer before the robot arrives. Exactly. 00:21:37.450 --> 00:21:39.970 The blunt takeaway from the bullvine curve analysis 00:21:39.970 --> 00:21:43.690 is this. If your herd isn't already hitting top 00:21:43.690 --> 00:21:46.349 -tier production and health metrics, if your 00:21:46.349 --> 00:21:48.750 somatic cell count is sly or your transition 00:21:48.750 --> 00:21:52.680 cow management is sloppy, A robot won't fix the 00:21:52.680 --> 00:21:55.000 margin. What will it do? It will simply automate 00:21:55.000 --> 00:21:58.319 the loss at a much higher non -negotiable interest 00:21:58.319 --> 00:22:01.640 rate. The robot amplifies the underlying efficiency 00:22:01.640 --> 00:22:04.500 or inefficiency of your operation. It's a magnifying 00:22:04.500 --> 00:22:06.380 glass. That's why we call it the don't automate 00:22:06.380 --> 00:22:08.799 a mess principle. A million dollar high interest 00:22:08.799 --> 00:22:11.839 loan on inefficiency is the fastest way to accelerate 00:22:11.839 --> 00:22:14.960 your own exit ramp. I saw a 200 cow farm try 00:22:14.960 --> 00:22:17.279 to pivot using four robots because they couldn't 00:22:17.279 --> 00:22:19.769 find reliable labor. Okay. But they had ongoing 00:22:19.769 --> 00:22:21.789 issues with feed bunk management and heat stress. 00:22:22.109 --> 00:22:24.589 The robots just collected 10 % less milk, less 00:22:24.589 --> 00:22:26.730 efficiently, and now the farmer has a massive 00:22:26.730 --> 00:22:28.890 debt payment. The core problem was cow comfort 00:22:28.890 --> 00:22:31.319 and management, not the parlor technology. A 00:22:31.319 --> 00:22:34.180 very expensive lesson. The most expensive. So 00:22:34.180 --> 00:22:36.319 if technology is a double -edged sword, what 00:22:36.319 --> 00:22:38.859 is accelerating consolidation even faster? The 00:22:38.859 --> 00:22:41.960 answer lies in policy and regulation. The environmental 00:22:41.960 --> 00:22:44.079 compliance cost accelerator. This is a big one. 00:22:44.359 --> 00:22:47.200 Regulations create large, fixed compliance costs 00:22:47.200 --> 00:22:50.279 that are impossible for small operations to amortize. 00:22:50.500 --> 00:22:53.579 This is a policy -driven headwind that inherently 00:22:53.579 --> 00:22:56.299 favors scale. Let's use the anaerobic digester 00:22:56.299 --> 00:22:59.460 example. They are feasible primarily for 500 00:22:59.460 --> 00:23:02.200 -plus cow herds. due to the steep capital costs 00:23:02.200 --> 00:23:07.180 $366 ,000 to over $650 ,000. And that's not including 00:23:07.180 --> 00:23:09.220 operation. Right. That's just to build it. If 00:23:09.220 --> 00:23:11.539 California -style methane regulations, which 00:23:11.539 --> 00:23:13.940 are designed to penalize methane output, expand 00:23:13.940 --> 00:23:16.140 to major dairy states like Texas or Wisconsin, 00:23:16.619 --> 00:23:19.359 what happens to the 300 -cow farm? They are simply 00:23:19.359 --> 00:23:21.960 forced out. This is the fixed -cost trap in action. 00:23:22.269 --> 00:23:24.450 When regulations tighten, whether it's managing 00:23:24.450 --> 00:23:27.009 nutrient runoff, implementing complex waste systems, 00:23:27.069 --> 00:23:29.509 or tightening CAFO requirements, they create 00:23:29.509 --> 00:23:32.230 a minimum fixed cost. A barrier to entry. A huge 00:23:32.230 --> 00:23:34.849 one. This can raise compliance costs by $50 to 00:23:34.849 --> 00:23:38.109 $100 per cow per year for smaller farms. So for 00:23:38.109 --> 00:23:40.730 our 300 -cow farmer... That's another $15 ,000 00:23:40.730 --> 00:23:43.750 to $30 ,000 in unavoidable fixed costs. But the 00:23:43.750 --> 00:23:46.809 large farm spreads that same $30 ,000 compliance 00:23:46.809 --> 00:23:50.829 cost over 3 ,000 cows, making it a negligible 00:23:50.829 --> 00:23:53.890 $10 per cow, or maybe $0 .05 per hundred at. 00:23:54.130 --> 00:23:57.009 While the small farm? The small farm has to absorb 00:23:57.009 --> 00:24:01.009 that entire $30 ,000 over just 300 cows, which 00:24:01.009 --> 00:24:03.769 pushes their marginal cost higher and locks them 00:24:03.769 --> 00:24:06.890 into that $100 ,000 structural loss zone permanently. 00:24:07.400 --> 00:24:09.920 So the regulatory environment, regardless of 00:24:09.920 --> 00:24:12.900 its intention, is setting the barrier for entry 00:24:12.900 --> 00:24:16.000 and persistence much higher. It effectively requires 00:24:16.000 --> 00:24:18.359 multi -million dollar capital investments that 00:24:18.359 --> 00:24:21.660 can only be justified by five -digit cow numbers. 00:24:22.079 --> 00:24:24.700 It's a fundamental structural disadvantage built 00:24:24.700 --> 00:24:27.039 into the policy framework. It is. It's another 00:24:27.039 --> 00:24:29.019 tailwind for the big and a headwind for the small. 00:24:29.160 --> 00:24:31.519 We've covered cost and technology, but the deep 00:24:31.519 --> 00:24:33.759 dive reminds us that the quiet, single, largest, 00:24:33.880 --> 00:24:36.500 non -ethonomic driver of exits is the human factor. 00:24:37.539 --> 00:24:39.460 Succession. Succession is the quiet driver, yes, 00:24:39.640 --> 00:24:41.980 but it's the loudest factor in the hazard model. 00:24:42.140 --> 00:24:45.160 It screams out of the data. Retirement is the 00:24:45.160 --> 00:24:48.640 largest cause of farm exits, regardless of margin. 00:24:48.779 --> 00:24:51.700 The average age of U .S. operators is about 58, 00:24:51.960 --> 00:24:54.839 and the baseline forecast shows that rising to 00:24:54.839 --> 00:24:59.180 62 by 2040. We're sitting on a demographic time 00:24:59.180 --> 00:25:02.039 bomb that guarantees an exit wave. The model 00:25:02.039 --> 00:25:05.000 quantifies this aging perfectly. Each additional 00:25:05.000 --> 00:25:08.039 year of the operator's age increases the exit 00:25:08.039 --> 00:25:11.900 probability by 8 .3%. 8 % a year. That's a ticking 00:25:11.900 --> 00:25:14.240 clock that no amount of good management can stop 00:25:14.240 --> 00:25:16.299 if the operator doesn't have a plan. But here 00:25:16.299 --> 00:25:19.119 is the absolute critical finding for anyone listening 00:25:19.119 --> 00:25:21.740 right now. And it gets back to leadership, not 00:25:21.740 --> 00:25:24.420 just management. Okay. Farms with a formal written 00:25:24.420 --> 00:25:27.900 succession plan have a staggering 38 % lower 00:25:27.900 --> 00:25:30.579 exit risk, even when controlling for size and 00:25:30.579 --> 00:25:33.680 profitability. 38 % lower risk just by putting 00:25:33.680 --> 00:25:36.440 it on paper. That's phenomenal. Why does a piece 00:25:36.440 --> 00:25:38.700 of paper have that much power? It signifies commitment, 00:25:39.019 --> 00:25:41.740 lender confidence, and shared generational direction. 00:25:41.960 --> 00:25:43.960 It's not the paper itself. It's the conversations 00:25:43.960 --> 00:25:46.279 and decisions that lead to the paper. Ah, I see. 00:25:46.400 --> 00:25:49.140 When you have a written plan, you proactively 00:25:49.140 --> 00:25:51.839 address the ownership transition, the debt structure, 00:25:52.119 --> 00:25:54.740 and the labor commitment. Lenders love this. 00:25:54.940 --> 00:25:57.500 If they see a 60 -year -old with a 35 -year -old 00:25:57.500 --> 00:25:59.720 on the management team with a written plan, They 00:25:59.720 --> 00:26:02.059 are far more secure than lending to a 55 -year 00:26:02.059 --> 00:26:04.480 -old with no plan, even if the latter is slightly 00:26:04.480 --> 00:26:06.759 more profitable this year. The turning point 00:26:06.759 --> 00:26:08.779 isn't always financial. You're right. It's the 00:26:08.779 --> 00:26:11.420 human factor. The turning point is often when 00:26:11.420 --> 00:26:13.680 the family admits no one under 40 is willing 00:26:13.680 --> 00:26:17.039 to take on the 247 workload required to run a 00:26:17.039 --> 00:26:19.180 commodity dairy in today's capital environment. 00:26:19.559 --> 00:26:22.180 That realization dictates the strategic exit. 00:26:22.519 --> 00:26:25.559 A financially solid 65 -year -old with no successor 00:26:25.559 --> 00:26:28.539 is statistically more likely to exit than a smaller, 00:26:28.660 --> 00:26:31.099 slightly less efficient herd where a 35 -year 00:26:31.099 --> 00:26:33.220 -old is already leading lender meetings. So the 00:26:33.220 --> 00:26:35.180 single strongest defense against the curve is 00:26:35.180 --> 00:26:38.319 a committed younger operator. It really is. Now 00:26:38.319 --> 00:26:40.720 let's look at the scenario. Uncertainty how policy 00:26:40.720 --> 00:26:43.440 and macro shocks can completely rewrite the curve. 00:26:43.680 --> 00:26:47.200 The difference between 13 ,200 U .S. farms and 00:26:47.200 --> 00:26:51.000 4 ,400 U .S. farms by 2050 is purely dictated 00:26:51.000 --> 00:26:54.079 by these external forces. And this is where you 00:26:54.079 --> 00:26:55.799 need to understand your risk profile for the 00:26:55.799 --> 00:26:58.460 next decade. These are the wildcards. Let's start 00:26:58.460 --> 00:27:01.039 with the accelerated scenario. The path to fewer 00:27:01.039 --> 00:27:05.039 than 5 ,000 U .S. farms by 2050. What policy 00:27:05.039 --> 00:27:07.099 triggers push us toward hyper consolidation? 00:27:07.700 --> 00:27:10.200 Weak margins are number one. Sustained at $8 00:27:10.200 --> 00:27:12.880 to $9 per hundredweight or lower. That just bleeds 00:27:12.880 --> 00:27:15.819 everyone dry. But the policy catalysts are the 00:27:15.819 --> 00:27:18.700 worst. Like what? If the policy safety net is 00:27:18.700 --> 00:27:21.140 completely removed, say the dairy margin coverage, 00:27:21.359 --> 00:27:24.200 the DMC program, is capped, made unaffordable, 00:27:24.359 --> 00:27:27.900 or eliminated, that exposes farms to full volatility 00:27:27.900 --> 00:27:30.660 and accelerates the exit wave, especially for 00:27:30.660 --> 00:27:32.769 those in the structural loss zone. And the sources 00:27:32.769 --> 00:27:35.029 say an aggressive plant -based market share growth 00:27:35.029 --> 00:27:38.089 capturing 25 % of sales by 2035, which would 00:27:38.089 --> 00:27:40.529 fundamentally suppress demand and price for commodity 00:27:40.529 --> 00:27:43.509 milk. That would be brutal. Brutal. But the single 00:27:43.509 --> 00:27:46.269 most explosive policy shock mentioned, which 00:27:46.269 --> 00:27:49.029 would affect both countries, is a Canadian quota 00:27:49.029 --> 00:27:51.819 crash or buyout. How would that work? If the 00:27:51.819 --> 00:27:54.480 government mandates a retirement tsunami between 00:27:54.480 --> 00:27:58.519 2026 and 2032, allowing older quota holders to 00:27:58.519 --> 00:28:00.920 cash out before the asset devalues, it could 00:28:00.920 --> 00:28:03.420 flood the U .S. market with cheap milk or trigger 00:28:03.420 --> 00:28:06.759 unprecedented regional farm sales, sending Canada 00:28:06.759 --> 00:28:09.640 onto a hyper consolidation trajectory very quickly. 00:28:09.799 --> 00:28:13.130 That's a huge wild card. A massive one. And conversely, 00:28:13.130 --> 00:28:15.690 let's talk about the slowed or managed transition 00:28:15.690 --> 00:28:18.670 scenario, the path that keeps us closer to 13 00:28:18.670 --> 00:28:22.609 ,200 U .S. farms by 2050. This is the government 00:28:22.609 --> 00:28:25.869 stepping in to buffer the curve. Yes. This scenario 00:28:25.869 --> 00:28:29.170 assumes an enhanced safety net, like the DMC 00:28:29.170 --> 00:28:32.289 being strengthened to a minimum $12 per hundredweight 00:28:32.289 --> 00:28:35.309 margin floor rather than the current $9 .50 maximum. 00:28:35.490 --> 00:28:37.960 It would also mean... What? More support for 00:28:37.960 --> 00:28:40.220 technology? Exactly. It assumes targeted policy 00:28:40.220 --> 00:28:42.299 support for mid -sized farms to adopt efficiency 00:28:42.299 --> 00:28:45.400 technology, not just large ones. Strong export 00:28:45.400 --> 00:28:48.259 demand sustained a 5 % growth per year and increased 00:28:48.259 --> 00:28:51.220 succession support programs. A $12 margin floor 00:28:51.220 --> 00:28:53.779 fundamentally changes the risk profile for that 00:28:53.779 --> 00:28:56.160 middle 500 cow farm, doesn't it? It's a game 00:28:56.160 --> 00:28:58.920 changer. It provides the cushion needed to service 00:28:58.920 --> 00:29:01.519 that critical debt during down cycles, giving 00:29:01.519 --> 00:29:03.779 them time to make necessary structural changes. 00:29:04.140 --> 00:29:06.920 So policy can act as a shock absorber? It can. 00:29:07.359 --> 00:29:10.740 But if we rely solely on policy, we are gambling 00:29:10.740 --> 00:29:14.460 with the future. That's why the concept of reframing 00:29:14.460 --> 00:29:17.160 the exit is so important. The deep dive says 00:29:17.160 --> 00:29:19.940 the strategic exit is an act of leadership, not 00:29:19.940 --> 00:29:22.359 a failure. Yes. That means using the forecast 00:29:22.359 --> 00:29:26.940 window, say. 2025 to 2035 to execute a transition 00:29:26.940 --> 00:29:29.400 on your terms it's the difference between protecting 00:29:29.400 --> 00:29:32.400 generational wealth and passively watching it 00:29:32.400 --> 00:29:34.980 erode yeah if the data tells you that your cost 00:29:34.980 --> 00:29:37.519 structure your regional position and your age 00:29:37.519 --> 00:29:40.259 demographics are unsustainable yeah then planning 00:29:40.259 --> 00:29:43.039 to sell the herd and transition the land while 00:29:43.039 --> 00:29:46.769 equity so land and quota values is still intact, 00:29:47.069 --> 00:29:49.269 is the responsible decision. You stop burning 00:29:49.269 --> 00:29:51.109 the house for warmth just to make it through 00:29:51.109 --> 00:29:53.230 the next winter. You're capitalizing on the high 00:29:53.230 --> 00:29:55.589 asset value of land now, rather than waiting 00:29:55.589 --> 00:29:57.769 for a forced sale when economic pressure has 00:29:57.769 --> 00:29:59.930 already hit rock bottom. That's leadership. That's 00:29:59.930 --> 00:30:02.430 strategy. We've established the curve is inevitable, 00:30:02.710 --> 00:30:05.950 but the sources are clear. The curve isn't smooth. 00:30:06.870 --> 00:30:09.210 Consolidation hits differently based on regional 00:30:09.210 --> 00:30:11.529 factors. Yeah, this is where the national data 00:30:11.529 --> 00:30:13.869 becomes personal. Talk about the Upper Midwest 00:30:13.869 --> 00:30:16.130 or the Northeast. What does the curve look like 00:30:16.130 --> 00:30:18.230 there? If you're operating in the Upper Midwest 00:30:18.230 --> 00:30:21.529 or the Northeast, the exits are heavily concentrated 00:30:21.529 --> 00:30:24.849 among older infrastructure tie stalls and older 00:30:24.849 --> 00:30:27.750 free stalls where labor is inefficient. Production 00:30:27.750 --> 00:30:30.289 is consolidating in modern facilities in states 00:30:30.289 --> 00:30:33.109 like Wisconsin and New York, but land prices 00:30:33.109 --> 00:30:36.170 and density are high, which caps expansion potential 00:30:36.170 --> 00:30:38.450 for some. And contrast that with the Southwest 00:30:38.450 --> 00:30:40.769 or High Plains. Totally different world. Oh. 00:30:40.890 --> 00:30:43.170 This region is dominated by a small number of 00:30:43.170 --> 00:30:45.990 very large systems. So marginal cost isn't the 00:30:45.990 --> 00:30:48.569 primary gatekeeper here. It's resource scarcity 00:30:48.569 --> 00:30:52.230 and regulation. Water, heat, and severe environmental 00:30:52.230 --> 00:30:54.990 rules, like those state -level methane mandates, 00:30:55.210 --> 00:30:58.279 are the primary gatekeepers. The Deep Dive noted 00:30:58.279 --> 00:31:00.960 that California -style methane regulations effectively 00:31:00.960 --> 00:31:04.259 force herd contractions or expensive relocations 00:31:04.259 --> 00:31:07.019 if you can't justify that massive digester investment. 00:31:07.559 --> 00:31:10.259 In the West, your future is often dictated by 00:31:10.259 --> 00:31:12.500 local water policy and environmental compliance, 00:31:12.819 --> 00:31:15.640 not just feed prices. And even in Canada, the 00:31:15.640 --> 00:31:18.140 slower curve is being managed provincially. Right. 00:31:18.319 --> 00:31:20.119 Production is increasingly anchored in Quebec 00:31:20.119 --> 00:31:22.579 and Ontario due to provincial quota policies, 00:31:22.759 --> 00:31:25.059 which puts pressure on farms in the Maritimes 00:31:25.059 --> 00:31:27.220 or the Prairies. So once you locate yourself 00:31:27.220 --> 00:31:29.160 on that regional map and understand the specific 00:31:29.160 --> 00:31:32.299 pressures you face, is it labor, water, or just 00:31:32.299 --> 00:31:34.559 poor pricing? Yep. You have to choose your lane. 00:31:34.700 --> 00:31:36.910 You have to. The Bullvine Playbook says that 00:31:36.910 --> 00:31:39.529 in a world with potentially fewer than 10 ,000 00:31:39.529 --> 00:31:42.109 U .S. farms, farmers must choose one of three 00:31:42.109 --> 00:31:44.470 lanes. Drifting is the most expensive choice. 00:31:44.789 --> 00:31:47.710 It's the default path to failure. Lane one, scale. 00:31:47.809 --> 00:31:51.329 This is the simple, unforgiving path. Build toward 00:31:51.329 --> 00:31:53.890 1 ,000 -plus cows with a genuinely competitive 00:31:53.890 --> 00:31:57.089 cost structure. This requires disciplined capital 00:31:57.089 --> 00:32:00.369 investment, robust risk management, and the ability 00:32:00.369 --> 00:32:03.599 to attract and retain specialized labor. You 00:32:03.599 --> 00:32:05.380 are committing to commodity competition, full 00:32:05.380 --> 00:32:09.000 stop. Lean two, specialize. This is for the small 00:32:09.000 --> 00:32:11.420 to midsize operation that cannot or will not 00:32:11.420 --> 00:32:14.180 scale. You must pivot hard into markets that 00:32:14.180 --> 00:32:17.400 pay margin organic, A2, grass -based on -farm 00:32:17.400 --> 00:32:20.039 processing, or tightly integrated supply contracts. 00:32:20.619 --> 00:32:23.279 You are trading volume for price, and your margins 00:32:23.279 --> 00:32:25.140 must be significantly higher than the commodity 00:32:25.140 --> 00:32:28.660 pool. And lean three, strategic exit. Execute 00:32:28.660 --> 00:32:30.730 a planned transition on your terms. This means 00:32:30.730 --> 00:32:33.410 consulting advisors, selling quota, or transitioning 00:32:33.410 --> 00:32:35.650 land to the next best use to protect generational 00:32:35.650 --> 00:32:38.450 wealth before structural losses erode that equity. 00:32:38.609 --> 00:32:40.589 The problem I see on the ground every day is 00:32:40.589 --> 00:32:43.869 that 80 % of those 150 to 500 cow operations 00:32:43.869 --> 00:32:46.829 are unconsciously in lane zero. Lane zero, what's 00:32:46.829 --> 00:32:49.299 that? We call it drifting. They're trying to 00:32:49.299 --> 00:32:51.680 specialize without a premium, scale without the 00:32:51.680 --> 00:32:53.819 capital, and plan without a succession document. 00:32:54.200 --> 00:32:56.279 They are trying to survive in the structural 00:32:56.279 --> 00:32:58.980 loss zone, and the curve is designed to eliminate 00:32:58.980 --> 00:33:02.799 that indecision. That structural reality scale, 00:33:03.039 --> 00:33:06.579 specialize, or strategic exit is the single most 00:33:06.579 --> 00:33:09.019 important decision a dairy farm owner can make 00:33:09.019 --> 00:33:11.859 in the next five years. Indecision is simply 00:33:11.859 --> 00:33:15.460 accelerating the curve for you personally. Alright, 00:33:15.539 --> 00:33:19.180 we've covered the 40 % herd loss, the $100 ,000 00:33:19.180 --> 00:33:23.059 quiet loss, and the uncomfortable truth about 00:33:23.059 --> 00:33:26.099 robotics. A lot to take in. A farmer just finished 00:33:26.099 --> 00:33:28.259 milking, they are driving the feed truck to the 00:33:28.259 --> 00:33:31.400 mill, and they have 15 minutes. What are the 00:33:31.400 --> 00:33:33.519 three tactical things they need to remember and 00:33:33.519 --> 00:33:36.059 act on from today's deep dive? Okay, number one. 00:33:36.140 --> 00:33:38.460 The first one is the most crucial for survival 00:33:38.460 --> 00:33:41.519 in the structural loss environment. Stop guessing 00:33:41.519 --> 00:33:44.980 and find your true, unfiltered cost. Your real 00:33:44.980 --> 00:33:48.460 cost. Yes. So for your immediate action this 00:33:48.460 --> 00:33:51.420 week, calculate your true cost per hundred feet. 00:33:51.579 --> 00:33:55.039 That means assigning a realistic, taxable, equivalent 00:33:55.039 --> 00:33:59.720 wage to every hour of family labor. Use $40 an 00:33:59.720 --> 00:34:02.099 hour as a minimum benchmark for management time 00:34:02.099 --> 00:34:05.319 and use replacement value for capital depreciation, 00:34:05.339 --> 00:34:07.980 not tax depreciation. If you don't know this 00:34:07.980 --> 00:34:09.920 number, you are making every decision blind. 00:34:10.079 --> 00:34:12.320 Okay, medium -term strategy, three to six months 00:34:12.320 --> 00:34:15.059 out. Once you have that number, identify your 00:34:15.059 --> 00:34:17.980 milk feed margin danger zone. Historically, anything 00:34:17.980 --> 00:34:20.159 below a $9 per hundredweight margin triggers 00:34:20.159 --> 00:34:23.380 financial stress. Develop a formal Witten stress 00:34:23.380 --> 00:34:26.739 plan. If the margin hits 850, what capital projects 00:34:26.739 --> 00:34:29.159 immediately stop? Which feed components are adjusted? 00:34:29.440 --> 00:34:31.440 And when do you proactively call your lender 00:34:31.440 --> 00:34:33.719 to discuss your debt service ratio? And long 00:34:33.719 --> 00:34:35.380 -term positioning, looking out a year or two. 00:34:35.639 --> 00:34:38.340 Use that true cost data to decide your lane scale, 00:34:38.559 --> 00:34:41.880 specialize, or exit. If you are in the commodity 00:34:41.880 --> 00:34:45.639 middle, 150 to 500 cows, and your true cost is 00:34:45.639 --> 00:34:47.860 50 to 80 cents over your current market price, 00:34:48.119 --> 00:34:51.679 you are structurally losing. A deliberate major 00:34:51.679 --> 00:34:54.260 change, either a huge capital commitment or an 00:34:54.260 --> 00:34:57.000 exit plan, must be scheduled, not hoped for. 00:34:57.199 --> 00:35:00.420 Got it. Takeaway number two focuses on those 00:35:00.420 --> 00:35:02.440 million -dollar capital decisions that often 00:35:02.440 --> 00:35:04.519 do more harm than good for the middle producer. 00:35:04.800 --> 00:35:07.079 Right. Invest in comfort and cow flow first. 00:35:07.440 --> 00:35:10.199 Automation second. Immediate action. This week. 00:35:10.519 --> 00:35:13.179 If you are contemplating major capital like that 00:35:13.179 --> 00:35:16.719 $400 ,000 robot, a new parlor, or a large digester 00:35:16.719 --> 00:35:18.900 pause and conduct a robot reality check. Don't 00:35:18.900 --> 00:35:21.260 sign anything yet. No. Look at your current metrics. 00:35:21.400 --> 00:35:23.440 If you are already hitting top tier production 00:35:23.440 --> 00:35:25.739 and health metrics, you're investing in automating 00:35:25.739 --> 00:35:28.760 a problem at 7 % interest. Do not automate a 00:35:28.760 --> 00:35:31.579 mess. And medium term, three to six months. Focus 00:35:31.579 --> 00:35:34.079 capital dollars on bottlenecks that improve margin 00:35:34.079 --> 00:35:37.079 for error and cow health first. Where are your 00:35:37.079 --> 00:35:39.260 biggest losses right now? Fresh cow management 00:35:39.260 --> 00:35:42.840 protocols, stall comfort, feed storage, or transition 00:35:42.840 --> 00:35:46.179 pen capacity. Ask yourself, can I get $400 to 00:35:46.179 --> 00:35:50.570 $500 per cow? per year in new margin or savings 00:35:50.570 --> 00:35:52.730 from this investment? If you can't answer that, 00:35:52.849 --> 00:35:55.090 invest in the basics. Makes sense. Long term. 00:35:55.230 --> 00:35:58.050 If you choose the scale lane, technology must 00:35:58.050 --> 00:36:01.210 be integrated into a broader... CalFlow and labor 00:36:01.210 --> 00:36:04.150 strategy that genuinely cuts costs or increases 00:36:04.150 --> 00:36:06.309 yield dramatically. If you choose specialized, 00:36:06.590 --> 00:36:09.050 invest in the value -add processing, equipment 00:36:09.050 --> 00:36:11.889 bottling, churning, cheese making that directly 00:36:11.889 --> 00:36:13.750 captures the premium the consumer is willing 00:36:13.750 --> 00:36:15.949 to pay. And the third takeaway. And our third 00:36:15.949 --> 00:36:18.309 takeaway goes back to that quiet, dominant driver 00:36:18.309 --> 00:36:20.889 that the models identify as being more powerful 00:36:20.889 --> 00:36:23.650 than any market swing, planning your future, 00:36:23.789 --> 00:36:26.429 regardless of whether you stay or go. Put succession 00:36:26.429 --> 00:36:29.630 on paper now. You got it. Immediate action this 00:36:29.630 --> 00:36:33.630 week. Initiate the succession conversation. Someday 00:36:33.630 --> 00:36:36.250 is not a plan, and the failure to plan is the 00:36:36.250 --> 00:36:39.449 largest non -economic driver of exits. Every 00:36:39.449 --> 00:36:41.630 year you wait, your exit probability increases 00:36:41.630 --> 00:36:45.710 by over 8 % due to operator aging. Start by defining 00:36:45.710 --> 00:36:48.369 the roles and the timeline. Start developing 00:36:48.369 --> 00:36:50.730 a formal timeline and a written ownership plan, 00:36:50.949 --> 00:36:54.480 ideally with legal and financial advisors. Remember, 00:36:54.719 --> 00:36:57.280 the existence of a written succession plan reduces 00:36:57.280 --> 00:37:01.079 your exit risk by 38 % and is a major stabilizing 00:37:01.079 --> 00:37:04.179 factor for lenders. This must be a formal, documented 00:37:04.179 --> 00:37:06.780 process, not just a handshake agreement. And 00:37:06.780 --> 00:37:08.619 finally, long -term positioning on succession. 00:37:09.039 --> 00:37:11.420 If there is no interested successor, you must 00:37:11.420 --> 00:37:13.820 pivot your focus entirely to a strategic exit. 00:37:14.159 --> 00:37:16.340 Consult with financial advisors to determine 00:37:16.340 --> 00:37:20.079 the ideal window, say, 2026 to 2030, to sell 00:37:20.079 --> 00:37:22.679 or transition assets while land and quota equity 00:37:22.679 --> 00:37:24.909 is strongest. rather than waiting for a forced 00:37:24.909 --> 00:37:26.769 sale when structural losses have drained your 00:37:26.769 --> 00:37:28.829 balance sheet. Protect the family's balance sheet 00:37:28.829 --> 00:37:30.829 by planning your departure as a business leader. 00:37:30.989 --> 00:37:33.449 Exactly. Powerful stuff. This has been another 00:37:33.449 --> 00:37:36.510 Bullvine podcast from The Bullvine Podcast. For 00:37:36.510 --> 00:37:38.550 more straight -talking industry analysis that 00:37:38.550 --> 00:37:40.349 helps you write your own line on the consolidation 00:37:40.349 --> 00:37:45.230 curve, head to www .thebullvine .com. Subscribe 00:37:45.230 --> 00:37:47.389 wherever you get podcasts. We're out with new 00:37:47.389 --> 00:37:49.469 deep dives every week, and upcoming topics will 00:37:49.469 --> 00:37:51.530 include an intense analysis of the future of 00:37:51.530 --> 00:37:54.250 dairy export growth and exactly how the new legislative 00:37:54.250 --> 00:37:56.449 push for a strengthened dairy margin coverage 00:37:56.449 --> 00:37:59.329 program could reshape the middle segment. We'll 00:37:59.329 --> 00:37:59.849 see you next time.