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 --> 00:01:03.920 we're sparking Welcome back to the Bullvine Podcast, 00:01:04.299 --> 00:01:06.079 where we cut through dairy industry noise to 00:01:06.079 --> 00:01:08.040 get you the insights that actually matter for 00:01:08.040 --> 00:01:10.719 your operation. And today we're diving deep into 00:01:10.719 --> 00:01:12.920 a feature piece that's been generating some serious 00:01:12.920 --> 00:01:16.359 buzz. This one's got layers and some surprises 00:01:16.359 --> 00:01:18.640 that are going to make farmers rethink fundamentally 00:01:18.640 --> 00:01:20.980 how they've been approaching their relationship 00:01:20.980 --> 00:01:23.379 with their processor. Okay, let's unpack this 00:01:23.379 --> 00:01:25.359 because the core context of the American dairy 00:01:25.359 --> 00:01:29.400 market has shifted from challenging to something 00:01:29.400 --> 00:01:32.980 more like existential. Right. On paper, we are 00:01:32.980 --> 00:01:36.379 this colossal, you know, $111 to $120 billion 00:01:36.379 --> 00:01:39.819 agricultural success story. But those headline 00:01:39.819 --> 00:01:43.959 figures, they mask a violent internal restructuring. 00:01:44.000 --> 00:01:45.700 That's the perfect word for it. It's violent. 00:01:46.000 --> 00:01:47.280 We are not just talking about consolidation. 00:01:47.500 --> 00:01:49.340 We are talking about the vanishing of the family 00:01:49.340 --> 00:01:52.019 farm model. We've lost 15 ,000 farms in the last 00:01:52.019 --> 00:01:54.340 five years alone. And that loss is not evenly 00:01:54.340 --> 00:01:56.079 distributed, which is really why we're having 00:01:56.079 --> 00:01:59.969 this deep dive. The reality is stark. 834 mega 00:01:59.969 --> 00:02:04.150 farms now control a stunning 66 % of all U .S. 00:02:04.150 --> 00:02:07.209 milk revenue. Two -thirds of the market. In the 00:02:07.209 --> 00:02:11.159 hands of 834 farms. That concentration of supply 00:02:11.159 --> 00:02:13.719 creates an inevitable concentration of power 00:02:13.719 --> 00:02:16.400 in the processing sector. It has to. So if you 00:02:16.400 --> 00:02:19.400 are one of the other 23 ,000 farms still trying 00:02:19.400 --> 00:02:21.460 to make a living in this industry, your market 00:02:21.460 --> 00:02:23.879 access, your pricing leverage, and frankly, your 00:02:23.879 --> 00:02:26.400 long -term survival are fundamentally at risk. 00:02:26.599 --> 00:02:28.819 We are going to expose the arithmetic of that 00:02:28.819 --> 00:02:31.319 dominance. The microeconomics behind it too, 00:02:31.419 --> 00:02:33.659 the stuff that makes the small farm, you know, 00:02:33.659 --> 00:02:36.120 just non -competitive. And we have to talk about 00:02:36.120 --> 00:02:38.080 the new rules of engagement. Absolutely. And 00:02:38.080 --> 00:02:39.800 we're not going to. shy away from what is probably 00:02:39.800 --> 00:02:41.599 the most difficult conversation for American 00:02:41.599 --> 00:02:44.539 producers, the DFA paradox. Oh, definitely not. 00:02:44.719 --> 00:02:46.939 We are going to show you, with data and settled 00:02:46.939 --> 00:02:50.500 antitrust cases, how your supposedly farmer -owned 00:02:50.500 --> 00:02:53.319 cooperative, with its 44 processing plants and 00:02:53.319 --> 00:02:56.719 $23 billion in revenue, manages to capture unprecedented 00:02:56.719 --> 00:02:59.439 profit margins for its corporate arm. Whilst 00:02:59.439 --> 00:03:02.280 producer members were absorbing 30 % to 40 % 00:03:02.280 --> 00:03:05.069 milk price crashes. Exactly. That structural 00:03:05.069 --> 00:03:07.030 conflict of interest, backed up by Department 00:03:07.030 --> 00:03:09.229 of Justice scrutiny and multimillion -dollar 00:03:09.229 --> 00:03:12.050 settlements, is the cornerstone of this deep 00:03:12.050 --> 00:03:14.050 dive. So our mission today is to give you the 00:03:14.050 --> 00:03:16.509 playbook. The playbook to survive in a market 00:03:16.509 --> 00:03:19.930 where 834 farms set the price floor and three 00:03:19.930 --> 00:03:22.729 global giants control the pricing ceiling. Let's 00:03:22.729 --> 00:03:25.449 start with the cold, hard data, the arithmetic 00:03:25.449 --> 00:03:29.319 of dominance. The latest analysis, extrapolated 00:03:29.319 --> 00:03:32.099 from the 2022 Census of Agriculture, confirms 00:03:32.099 --> 00:03:36.159 that the U .S. had 24 ,082 dairy farms. Okay. 00:03:36.319 --> 00:03:40.500 Which is down from 39 ,303 just five years earlier. 00:03:40.659 --> 00:03:42.360 Wait, wait, let's pause on that percentage. That 00:03:42.360 --> 00:03:46.039 is a 39 % decline in five years. 39%. The sources 00:03:46.039 --> 00:03:48.099 indicate this is the largest percentage drop 00:03:48.099 --> 00:03:51.000 recorded between census periods since 1982. So 00:03:51.000 --> 00:03:53.139 we're not just shrinking, the pace of attrition 00:03:53.139 --> 00:03:56.310 is accelerating. It is. And for the majority 00:03:56.310 --> 00:03:58.810 of us who operate under 500 cows, that pace is, 00:03:58.909 --> 00:04:00.990 it's terrifying. It leads us directly to the 00:04:00.990 --> 00:04:04.009 834, that number you need to remember. This is 00:04:04.009 --> 00:04:06.669 the cohort of farms with 2 ,500 or more cows. 00:04:06.889 --> 00:04:08.830 A big guise. They are the only growth sector 00:04:08.830 --> 00:04:11.370 in farm numbers. They expanded their control 00:04:11.370 --> 00:04:15.550 from 57 % of sales value in 2017 to 66 % today. 00:04:15.969 --> 00:04:18.699 This isn't just organic growth. This is... market 00:04:18.699 --> 00:04:20.920 capture. Hold on. That means a vast majority 00:04:20.920 --> 00:04:23.939 of us, the approximately 80 % of operations with 00:04:23.939 --> 00:04:27.500 under 500 cows, are competing for less than 25 00:04:27.500 --> 00:04:30.540 % of the overall milk market. That's the math. 00:04:30.819 --> 00:04:32.720 And when I look at the upper Midwest where I 00:04:32.720 --> 00:04:35.980 operate, the 50 to 99 cow herd used to be the 00:04:35.980 --> 00:04:38.560 absolute backbone, you know, the stability point. 00:04:38.740 --> 00:04:40.740 What happens to that segment now? It's being 00:04:40.740 --> 00:04:44.389 hollowed out. The data confirms the 50 to 99 00:04:44.389 --> 00:04:47.189 cow herds are facing the sharpest declines because 00:04:47.189 --> 00:04:49.470 they are caught in an economic vice. Oh, so? 00:04:49.769 --> 00:04:51.829 They're too large to operate as a niche, low 00:04:51.829 --> 00:04:54.290 -debt, lifestyle -adjacent farm, which often 00:04:54.290 --> 00:04:56.350 describes that very smallest tier, you know, 00:04:56.350 --> 00:04:58.569 under 50 cows. Right. Those tiny farms sometimes 00:04:58.569 --> 00:05:00.910 survive because they are not solely reliant on 00:05:00.910 --> 00:05:02.709 the milk check or they serve hyperlocal markets. 00:05:02.810 --> 00:05:04.709 They've got another income source. Precisely. 00:05:04.769 --> 00:05:07.550 Exactly. My neighbor with 40 cows can sell raw 00:05:07.550 --> 00:05:10.230 milk directly or has a specialty organic contract. 00:05:10.949 --> 00:05:13.029 They don't have $10 million in facility debt. 00:05:13.189 --> 00:05:16.949 But the 150 cow operation. That's the one. Which 00:05:16.949 --> 00:05:19.589 requires significant capital investment in machinery, 00:05:19.850 --> 00:05:22.810 labor, and facilities. That farm is operating 00:05:22.810 --> 00:05:26.370 solely on thin commodity margins. And they cannot 00:05:26.370 --> 00:05:28.829 compete with the operational metrics of the 834. 00:05:29.370 --> 00:05:32.110 They are the true victims of this structural 00:05:32.110 --> 00:05:34.470 math. And the implications extend beyond just 00:05:34.470 --> 00:05:37.129 the farm numbers. It means the processing infrastructure, 00:05:37.389 --> 00:05:40.100 the plants, the tankers, the haul routes. is 00:05:40.100 --> 00:05:42.819 rapidly adapting to this new concentrated supply 00:05:42.819 --> 00:05:45.279 chain. Of course. Processors are not optimizing 00:05:45.279 --> 00:05:48.699 their routes for 24 ,000 scattered pickups. They're 00:05:48.699 --> 00:05:52.079 optimizing for 834 mega dairies that can fill 00:05:52.079 --> 00:05:54.740 multiple tankers daily from a single location. 00:05:54.980 --> 00:05:57.319 That changes the fundamental bargaining power 00:05:57.319 --> 00:05:59.439 equation overnight. It creates a feedback loop, 00:05:59.500 --> 00:06:02.300 doesn't it? 100%. The processor favors the megafarm 00:06:02.300 --> 00:06:04.560 because of lower hauling and overhead costs, 00:06:04.779 --> 00:06:07.360 which accelerates farm closures and fragmented 00:06:07.360 --> 00:06:10.060 milksheds, which then further incentivizes the 00:06:10.060 --> 00:06:12.500 processor to invest capital only where the big 00:06:12.500 --> 00:06:14.980 farms are located. That feedback loop brings 00:06:14.980 --> 00:06:18.579 us to our most brutal point, the microeconomics. 00:06:18.720 --> 00:06:21.019 We have to challenge the popular but destructive 00:06:21.019 --> 00:06:24.540 idea that if a smaller farmer fails, it's solely 00:06:24.540 --> 00:06:26.779 due to bad management or inefficiency. Oh, I'm 00:06:26.779 --> 00:06:29.459 so glad you said that. The data shows a structural... 00:06:30.160 --> 00:06:32.620 insurmountable competitive moat based purely 00:06:32.620 --> 00:06:35.699 on size. And we can quantify that moat down to 00:06:35.699 --> 00:06:37.720 the penny. I cannot stress this enough. I talk 00:06:37.720 --> 00:06:39.980 to farmers who beat themselves up daily thinking 00:06:39.980 --> 00:06:42.379 they just need to work harder or run their numbers 00:06:42.379 --> 00:06:44.500 tighter. But the reality is that the efficiency 00:06:44.500 --> 00:06:47.459 gap is so wide that working harder is often futile 00:06:47.459 --> 00:06:50.279 against automated industrialized scale. Let's 00:06:50.279 --> 00:06:52.399 put numbers on that futility. We looked at the 00:06:52.399 --> 00:06:55.800 specific cost of production, or COP data. Midsize 00:06:55.800 --> 00:06:59.459 farms, those in the 100 to 199 cow bracket, have 00:06:59.459 --> 00:07:02.860 an estimated COP of approximately $32 .83 per 00:07:02.860 --> 00:07:06.040 hundredweight. Okay, $32 .83. Now look at the 00:07:06.040 --> 00:07:08.620 megadairies, the 2 ,500 plus cow operations. 00:07:08.620 --> 00:07:12.139 They operate at an estimated $23 .66 per hundredweight. 00:07:12.490 --> 00:07:15.990 Okay, so that's $9 .77. That's nearly $10 per 00:07:15.990 --> 00:07:17.930 hundredweight disadvantage before the mid -sized 00:07:17.930 --> 00:07:21.569 farmer even starts. $9 .77. That is the cost 00:07:21.569 --> 00:07:23.410 of entry to compete in the commodity market. 00:07:23.790 --> 00:07:27.189 You cannot outmilk a $9 .77 disadvantage. You 00:07:27.189 --> 00:07:29.470 simply can't. And the sources detail exactly 00:07:29.470 --> 00:07:32.810 where this catastrophic gap originates. It isn't 00:07:32.810 --> 00:07:34.589 just a generic overhead figure. We can break 00:07:34.589 --> 00:07:36.370 down the components. Let's do it. Start with 00:07:36.370 --> 00:07:38.430 feed acquisition, which is the largest input 00:07:38.430 --> 00:07:41.569 cost. Large farms leverage their purchasing power, 00:07:41.730 --> 00:07:44.730 securing rail car and massive volume pricing. 00:07:44.889 --> 00:07:48.209 That immediately gives them a $1 .50 to $2 per 00:07:48.209 --> 00:07:50.670 hundredweight savings compared to a smaller farm 00:07:50.670 --> 00:07:53.230 buying feed by the truckload or spot market. 00:07:53.529 --> 00:07:55.949 And that assumes perfect conditions. If a smaller 00:07:55.949 --> 00:07:58.629 farm gets hit by volatile commodity prices or 00:07:58.629 --> 00:08:01.410 needs to haul feed an extra 50 miles because 00:08:01.410 --> 00:08:03.990 the local supplier only sells in high volume 00:08:03.990 --> 00:08:06.970 to the big dairy down the road, that gap widens 00:08:06.970 --> 00:08:09.449 further. The supply chain itself is rigged for 00:08:09.449 --> 00:08:11.930 volume. It prioritizes the volume. Absolutely. 00:08:12.170 --> 00:08:14.529 Beyond inputs, the next colossal advantage is 00:08:14.529 --> 00:08:17.250 labor efficiency. Mega dairies achieve a 40 % 00:08:17.250 --> 00:08:19.769 to 60 % labor cost reduction per hundredweight. 00:08:20.139 --> 00:08:23.040 Through heavy automation, specialized labor pools, 00:08:23.259 --> 00:08:26.019 and continuous flow operations, we're talking 00:08:26.019 --> 00:08:29.100 about rotary parlors running 2047 advanced robotics 00:08:29.100 --> 00:08:31.420 handling materials and sophisticated feeding 00:08:31.420 --> 00:08:33.620 systems. Meanwhile, when I look at the midsize 00:08:33.620 --> 00:08:36.279 farm, they are reliant on manual or traditional 00:08:36.279 --> 00:08:39.080 methods, and they are struggling with labor shortages 00:08:39.080 --> 00:08:41.559 and rising wages. It's a double whammy. It is. 00:08:41.679 --> 00:08:45.019 A 500 -cow operation has to pay competitive wages 00:08:45.019 --> 00:08:48.059 and deal with the high fixed cost of regulatory 00:08:48.059 --> 00:08:51.539 compliance, say, $50 ,000 a year for environmental 00:08:51.539 --> 00:08:54.240 reporting and safety training. For them, that 00:08:54.240 --> 00:08:56.899 cost hits them hard. But for the 5 ,000 -cow 00:08:56.899 --> 00:08:59.159 operation? Right. For the 5 ,000 -cow operation, 00:08:59.360 --> 00:09:02.429 that same $50 ,000 is diluted. across millions 00:09:02.429 --> 00:09:04.730 of pounds of milk, making the per hundred weight 00:09:04.730 --> 00:09:07.529 cost negligible. It's the dilution of fixed costs 00:09:07.529 --> 00:09:10.409 that creates the moat. And as labor costs rise, 00:09:10.750 --> 00:09:12.809 the $11 billion investment we'll discuss later 00:09:12.809 --> 00:09:14.850 reinforces this. It's an investment in robotics 00:09:14.850 --> 00:09:17.169 to immunize production against the high cost 00:09:17.169 --> 00:09:19.230 of human labor. You know, I challenge the conventional 00:09:19.230 --> 00:09:22.389 wisdom here. Those fixed costs, machinery, facilities, 00:09:22.690 --> 00:09:24.889 regulatory burden, they were manageable 10 years 00:09:24.889 --> 00:09:27.649 ago. What changed is the technology scale. Say 00:09:27.649 --> 00:09:29.759 more about that. You need millions of dollars 00:09:29.759 --> 00:09:32.299 in robotic infrastructure now just to achieve 00:09:32.299 --> 00:09:34.799 parity with the labor costs of 10 years ago. 00:09:34.919 --> 00:09:37.679 The mid -sized farmer who can't afford that immediate 00:09:37.679 --> 00:09:40.759 multi -million dollar capital expenditure is 00:09:40.759 --> 00:09:43.259 structurally doomed in the commodity market. 00:09:43.480 --> 00:09:47.100 That financial squeeze leads to a grim yet economically 00:09:47.100 --> 00:09:50.820 rational exit strategy. The beef market paradox. 00:09:51.179 --> 00:09:54.740 Yeah, this part is... It's tough. As the $9 .77 00:09:54.740 --> 00:09:58.460 margin squeeze tightens, the high cull cow prices 00:09:58.460 --> 00:10:01.799 we've seen, exceeding $145 per hundredweight, 00:10:02.000 --> 00:10:04.539 have become an escape valve. It's tragic that 00:10:04.539 --> 00:10:06.720 the most profitable moment for many producers 00:10:06.720 --> 00:10:09.460 right now is the day they decide to quit. That's 00:10:09.460 --> 00:10:11.440 a powerful way to put it. The liquidation value 00:10:11.440 --> 00:10:13.899 of the herd has hit historic highs, meaning they 00:10:13.899 --> 00:10:16.559 can strategically depopulate their herd, sell 00:10:16.559 --> 00:10:18.860 into the lucrative beef market, pay down some 00:10:18.860 --> 00:10:21.320 debt, and exit the business with dignity rather 00:10:21.320 --> 00:10:24.139 than endure years of negative equity. The sources 00:10:24.139 --> 00:10:26.700 confirm this accelerates consolidation. The cows 00:10:26.700 --> 00:10:28.919 leave the mid -sized farms permanently, closing 00:10:28.919 --> 00:10:31.639 them down. Critically, that lost milk quota, 00:10:31.799 --> 00:10:34.259 the processing capacity, is immediately absorbed 00:10:34.259 --> 00:10:38.279 by the expanding 834 megadairies. And they need 00:10:38.279 --> 00:10:41.299 it. They do. These large dairies need that high 00:10:41.299 --> 00:10:44.100 volume throughput to service their massive debt 00:10:44.100 --> 00:10:46.559 loads and run their automation systems efficiently. 00:10:46.879 --> 00:10:48.860 So the processor benefits from the mega farm 00:10:48.860 --> 00:10:51.179 scaling up and the mega farm benefits from the 00:10:51.179 --> 00:10:53.539 smaller farm liquidating, which provides capital 00:10:53.539 --> 00:10:56.259 and reduces market competition. It's a vicious 00:10:56.259 --> 00:10:59.320 cycle where consolidation is incentivized at 00:10:59.320 --> 00:11:02.679 every single point in the supply chain. Now we 00:11:02.679 --> 00:11:06.440 follow the money. If 66 % of the revenue is concentrated 00:11:06.440 --> 00:11:10.120 in 834 farms, who is buying that concentrated 00:11:10.120 --> 00:11:12.519 supply? Right. Where is it all going? The processing 00:11:12.519 --> 00:11:15.080 sector has coalesced into a tight three -headed 00:11:15.080 --> 00:11:18.139 oligopoly, and they are global giants. This is 00:11:18.139 --> 00:11:20.399 where we shift from domestic competition to global 00:11:20.399 --> 00:11:22.500 market dynamics. It's a whole different ballgame. 00:11:22.600 --> 00:11:25.740 Exactly. Our three giants by 2024 revenue are... 00:11:25.960 --> 00:11:29.500 Lactalis, the French behemoth, at $31 .9 billion. 00:11:29.960 --> 00:11:33.580 31 .9. Wow. Jerry Farmers of America, DFA, the 00:11:33.580 --> 00:11:37.240 U .S. co -op, at $23 .8 billion. And Saputo, 00:11:37.340 --> 00:11:40.379 the Canadian powerhouse, at $13 .9 billion. Okay. 00:11:40.480 --> 00:11:42.539 Let's start with Lactalis, the aggressive foreign 00:11:42.539 --> 00:11:45.100 hegemon. They are privately held, which is a 00:11:45.100 --> 00:11:46.980 massive advantage. They don't have to deliver 00:11:46.980 --> 00:11:49.259 predictable quarterly results to Wall Street. 00:11:49.500 --> 00:11:52.179 They can take expensive, long -term strategic 00:11:52.179 --> 00:11:55.139 positions and use their massive cash reserves 00:11:55.139 --> 00:11:58.139 to execute rapid acquisitions. It means they 00:11:58.139 --> 00:12:00.139 play a different game than the publicly traded 00:12:00.139 --> 00:12:03.500 Saputo or even the cooperative DFA. They are 00:12:03.500 --> 00:12:05.940 aiming for market dominance, not just predictable 00:12:05.940 --> 00:12:09.000 returns. And their acquisition strategy is relentless. 00:12:09.779 --> 00:12:12.639 Reviewing their recent spree shows just how aggressively 00:12:12.639 --> 00:12:14.960 they are moving into the U .S. consumer market. 00:12:15.230 --> 00:12:17.570 They grabbed General Mills' U .S. yogurt business 00:12:17.570 --> 00:12:21.509 for $2 .1 billion. That's the Yoplat deal. That's 00:12:21.509 --> 00:12:24.629 Yoplat and Go -Gurt, instantly adding $1 .5 billion 00:12:24.629 --> 00:12:27.389 in net sales to their U .S. ledger. They also 00:12:27.389 --> 00:12:29.289 acquired Fonterra's global consumer business 00:12:29.289 --> 00:12:32.309 for another $2 .3 billion, cementing their control 00:12:32.309 --> 00:12:34.649 over global distribution and brand portfolios. 00:12:34.830 --> 00:12:36.929 This strategy is fascinating because they are 00:12:36.929 --> 00:12:39.490 buying brand equity and distribution infrastructure, 00:12:39.690 --> 00:12:41.629 not just milk plants. That's a key distinction. 00:12:42.159 --> 00:12:44.600 This gives them massive control over global dairy 00:12:44.600 --> 00:12:47.340 trade flows. U .S. farmers effectively become 00:12:47.340 --> 00:12:50.460 reliable, high -volume commodity suppliers for 00:12:50.460 --> 00:12:53.320 a foreign corporate landlord. When the profits 00:12:53.320 --> 00:12:56.179 are generated by those high -margin brands, they're 00:12:56.179 --> 00:12:59.080 often repatriated back overseas, rather than 00:12:59.080 --> 00:13:01.340 reinvested locally or shared with producers. 00:13:01.700 --> 00:13:03.559 Okay, now let's pivot to the DFA cooperative 00:13:03.559 --> 00:13:06.220 paradox. This is the heart of the conflict for 00:13:06.220 --> 00:13:08.419 American dairy farmers. This is the one everybody 00:13:08.419 --> 00:13:11.200 wants to talk about. DFA markets milk. for over 00:13:11.200 --> 00:13:15.100 11 ,000 members, handling roughly 30 % of U .S. 00:13:15.120 --> 00:13:17.919 milk production. The central issue is that DFA 00:13:17.919 --> 00:13:21.000 also owns and operates 44 processing plants, 00:13:21.200 --> 00:13:24.299 a number significantly expanded by the 2020 Dean 00:13:24.299 --> 00:13:26.679 Foods acquisition. The structural conflict of 00:13:26.679 --> 00:13:28.919 interest is blindingly clear and needs detailed 00:13:28.919 --> 00:13:31.700 analysis. You, the producer, are a member and 00:13:31.700 --> 00:13:33.759 owner of the cooperative, but that cooperative 00:13:33.759 --> 00:13:36.500 has two masters. Two masters. The producer marketing 00:13:36.500 --> 00:13:38.360 arm, which is supposed to maximize your milk 00:13:38.360 --> 00:13:40.320 price, and the corporate processing arm, which 00:13:40.320 --> 00:13:43.220 maximizes profits by minimizing its input costs, 00:13:43.340 --> 00:13:45.509 which is your milk price. And when milk prices 00:13:45.509 --> 00:13:49.450 crashed 30 % to 40 % in 2023, the data shows 00:13:49.450 --> 00:13:52.649 that processors with integrated operations DFA 00:13:52.649 --> 00:13:55.909 included captured massive margin expansion. They 00:13:55.909 --> 00:13:57.950 did very, very well. They kept their input costs, 00:13:58.169 --> 00:14:00.669 the raw milk check paid to you, the farmer, low, 00:14:00.750 --> 00:14:02.950 while profiting handsomely on the high margin, 00:14:03.110 --> 00:14:05.950 value -added products like cheese, ingredients, 00:14:06.289 --> 00:14:08.750 and fluid milk. The producer absorbed the losses. 00:14:08.830 --> 00:14:12.070 The processing arm captured the margin. When 00:14:12.070 --> 00:14:14.750 the market is volatile, the farmer's milk check 00:14:14.750 --> 00:14:16.970 becomes the corporate division's raw material 00:14:16.970 --> 00:14:19.269 discount. So the question stops being, are we 00:14:19.269 --> 00:14:21.710 partners? And becomes, am I their supplier to 00:14:21.710 --> 00:14:24.309 be managed? Exactly. The scale of this market 00:14:24.309 --> 00:14:26.350 power prompted the Department of Justice intervention. 00:14:27.019 --> 00:14:30.059 The 2020 Dean Foods acquisition, where DFA bought 00:14:30.059 --> 00:14:33.340 44 fluid and frozen processing assets for $433 00:14:33.340 --> 00:14:36.899 million, was massive. It was huge. The DOJ stepped 00:14:36.899 --> 00:14:39.720 in and required DFA to divest plants in key milksheds, 00:14:39.899 --> 00:14:42.740 specifically Harvard, Illinois, De Pere, Wisconsin, 00:14:42.899 --> 00:14:45.600 and Franklin, Massachusetts. And the DOJ was 00:14:45.600 --> 00:14:47.320 essentially saying, if you acquire all these 00:14:47.320 --> 00:14:49.500 assets, you will have too much market control, 00:14:49.600 --> 00:14:51.879 especially in fluid milk, and you will be able 00:14:51.879 --> 00:14:54.620 to dictate prices to non -member producers and 00:14:54.620 --> 00:14:57.500 manipulate the FMMO pool. So that intervention 00:14:57.500 --> 00:15:00.940 provides concrete regulatory validation of the 00:15:00.940 --> 00:15:02.799 high level of concentration we are discussing. 00:15:03.019 --> 00:15:05.000 It's not just a theory. The government stepped 00:15:05.000 --> 00:15:07.399 in and said, this is too much. Let's look at 00:15:07.399 --> 00:15:10.220 Saputo, the third player, the Canadian efficiency 00:15:10.220 --> 00:15:14.919 architect. Their $13 .9 billion revenue is underpinned 00:15:14.919 --> 00:15:18.440 by their network optimization program. A strategy 00:15:18.440 --> 00:15:20.820 that embodies capital labor substitution. Right. 00:15:20.860 --> 00:15:22.940 And when Saputo talks about optimization, they 00:15:22.940 --> 00:15:26.159 mean permanently closing legacy high labor facilities. 00:15:26.440 --> 00:15:29.179 And transferring that production to fewer, larger, 00:15:29.279 --> 00:15:31.840 highly automated greenfield sites. It's a brutal 00:15:31.840 --> 00:15:34.519 but effective business strategy. We've seen the 00:15:34.519 --> 00:15:37.840 impact across the U .S. They announced or completed 00:15:37.840 --> 00:15:40.700 major facility closures in places like Lancaster 00:15:40.700 --> 00:15:42.759 and Green Bay, Wisconsin and Southgate, California. 00:15:43.120 --> 00:15:45.639 These closures represent millions in write downs. 00:15:46.080 --> 00:15:48.519 But the long -term structural savings from automation 00:15:48.519 --> 00:15:51.379 far outweigh the short -term pain for them. For 00:15:51.379 --> 00:15:54.159 them, yes. And this production wasn't just stopped, 00:15:54.279 --> 00:15:57.240 it was transferred. The classic example is their 00:15:57.240 --> 00:15:59.679 new state -of -the -art cut -and -wrap facility 00:15:59.679 --> 00:16:02.820 in Franklin, Wisconsin. That site relies heavily 00:16:02.820 --> 00:16:06.179 on robotics and continuous flow packaging, allowing 00:16:06.179 --> 00:16:08.879 Saputo to maximize throughput while minimizing 00:16:08.879 --> 00:16:12.299 dependence on volatile, high -cost human labor. 00:16:12.809 --> 00:16:15.309 It's an investment in business insulation. But 00:16:15.309 --> 00:16:17.450 the strategy of optimization isn't just about 00:16:17.450 --> 00:16:19.570 labor. It's about technological differentiation. 00:16:20.389 --> 00:16:24.169 Let's discuss the quiet giant. Leprino Foods. 00:16:24.470 --> 00:16:26.950 Ah, Leprino, the definition of a technological 00:16:26.950 --> 00:16:29.370 moat. Most consumers have never heard of them, 00:16:29.409 --> 00:16:32.309 yet they control 85 % of the U .S. pizza cheese 00:16:32.309 --> 00:16:34.870 market, supplying virtually every major chain. 00:16:35.090 --> 00:16:38.309 They are a $3 .6 billion entity built almost 00:16:38.309 --> 00:16:40.730 entirely on specialized cheese. And their dominance 00:16:40.730 --> 00:16:42.950 isn't merely through massive scale, it's through 00:16:42.950 --> 00:16:45.879 intellectual property. That's the key. IP. Liprino 00:16:45.879 --> 00:16:48.379 holds patented manufacturing processes that control 00:16:48.379 --> 00:16:50.840 the complex characteristics of mozzarella, how 00:16:50.840 --> 00:16:53.100 it browns under heat, how it melts, and critically, 00:16:53.240 --> 00:16:55.879 how it stretches. This IP prevents their high 00:16:55.879 --> 00:16:58.039 -specification product from being commoditized 00:16:58.039 --> 00:17:00.759 by a competitor. This is a profound insight for 00:17:00.759 --> 00:17:04.019 producers. This is why the $11 billion investment 00:17:04.019 --> 00:17:06.920 we're coming to is heavily skewed toward cheese 00:17:06.920 --> 00:17:08.839 and ingredients. Because that's where the margin 00:17:08.839 --> 00:17:11.180 is. In commodity fluid milk, you race to the 00:17:11.180 --> 00:17:14.299 bottom. In specialized ingredients, if you own 00:17:14.299 --> 00:17:16.839 the IP, the technology that makes the perfect 00:17:16.839 --> 00:17:19.259 pizza cheese or the perfect protein isolate, 00:17:19.539 --> 00:17:23.480 you dictate the margins. That technological barrier 00:17:23.480 --> 00:17:25.799 is what keeps the smaller, less sophisticated 00:17:25.799 --> 00:17:28.339 processor out. It's a brilliant business model. 00:17:28.599 --> 00:17:30.359 Now, on the flip side, we have to note that foreign 00:17:30.359 --> 00:17:33.039 investment, while leading to consolidation, also 00:17:33.039 --> 00:17:35.799 modernizes outdated U .S. infrastructure. That's 00:17:35.799 --> 00:17:38.329 true. It's not all negative. Lactalis, despite 00:17:38.329 --> 00:17:41.369 its aggressive acquisitions, committed $75 million 00:17:41.369 --> 00:17:44.910 to upgrade facilities in New York. A huge part 00:17:44.910 --> 00:17:47.470 of that is a $60 million expansion in Buffalo, 00:17:47.730 --> 00:17:50.430 specifically to boost mozzarella and provolone 00:17:50.430 --> 00:17:53.390 production by 37 million pounds annually. That's 00:17:53.390 --> 00:17:55.650 a lifeline for the specific New York milkshed, 00:17:55.670 --> 00:17:58.640 but again, it reinforces the trend. How so? Lactalis 00:17:58.640 --> 00:18:00.880 isn't making that investment contingent on a 00:18:00.880 --> 00:18:03.460 fragmented supply. They are betting that the 00:18:03.460 --> 00:18:05.779 New York milk volume will continue to consolidate 00:18:05.779 --> 00:18:09.059 into fewer, larger, and far more consistent suppliers 00:18:09.059 --> 00:18:12.000 who can meet that massive, specialized throughput 00:18:12.000 --> 00:18:14.500 demand. This correlates perfectly with the geographical 00:18:14.500 --> 00:18:17.559 consolidation we are seeing. Overall cheese output 00:18:17.559 --> 00:18:20.039 is hitting records, yet production plummeted 00:18:20.039 --> 00:18:23.359 11 % in Pennsylvania and dropped 2 % in Iowa. 00:18:23.799 --> 00:18:26.160 While California and Wisconsin maintain market 00:18:26.160 --> 00:18:29.240 share, processors are ruthlessly rational. They 00:18:29.240 --> 00:18:31.359 are following the largest, most efficient milk 00:18:31.359 --> 00:18:33.220 supplies. So if your regional processor shuts 00:18:33.220 --> 00:18:35.799 down, your market disappears immediately. Gone. 00:18:35.920 --> 00:18:38.259 Overnight. And when the milk is rerouted to an 00:18:38.259 --> 00:18:40.740 expanding megafacility hundreds of miles away, 00:18:41.039 --> 00:18:43.400 the hauling cost makes your already tight margins 00:18:43.400 --> 00:18:46.279 evaporate. It's a structural mechanism for eliminating 00:18:46.279 --> 00:18:48.799 the smaller, more geographically isolated operation. 00:18:49.470 --> 00:18:51.910 This brings us to the future implications, specifically 00:18:51.910 --> 00:18:55.750 the $11 billion deadline. Right. According to 00:18:55.750 --> 00:18:58.109 the International Dairy Foods Association, or 00:18:58.109 --> 00:19:02.690 IDFA, over $11 billion is flowing into 53 new 00:19:02.690 --> 00:19:05.950 or expanded processing facilities across 19 states 00:19:05.950 --> 00:19:09.240 scheduled to come fully online by 2028. This 00:19:09.240 --> 00:19:11.500 is the most significant agricultural infrastructure 00:19:11.500 --> 00:19:14.220 investment surge in modern history. And we must 00:19:14.220 --> 00:19:16.940 be crystal clear, this capacity is not being 00:19:16.940 --> 00:19:20.819 built for 24 ,000 small dairies. No, it is exclusively 00:19:20.819 --> 00:19:23.819 designed for high volume throughput, export markets, 00:19:23.980 --> 00:19:26.500 and specialized high margin ingredients. Think 00:19:26.500 --> 00:19:28.859 about those specialized ingredients. whey protein 00:19:28.859 --> 00:19:31.460 isolates, lactose powders, pharmaceutical -grade 00:19:31.460 --> 00:19:33.940 dairy derivatives. These products demand a highly 00:19:33.940 --> 00:19:36.599 consistent, massive volume, year -round supply. 00:19:36.859 --> 00:19:39.420 And a 200 -cow farm simply cannot guarantee the 00:19:39.420 --> 00:19:41.460 volume required for a processor building a multi 00:19:41.460 --> 00:19:44.099 -million -dollar facility aimed at, say, the 00:19:44.099 --> 00:19:46.339 Asian protein power market. Not a chance. They 00:19:46.339 --> 00:19:48.480 need a steady stream of 500 ,000 pounds a day, 00:19:48.579 --> 00:19:51.819 365 days a year. The big three are pre -securing 00:19:51.819 --> 00:19:54.539 contracts with the 834 mega dairies because they 00:19:54.539 --> 00:19:56.759 know those operations can provide the scale and 00:19:56.759 --> 00:19:58.619 consistency the new automated infrastructure 00:19:58.619 --> 00:20:01.640 demands. That 2028 deadline is your timeline 00:20:01.640 --> 00:20:04.359 for adaptation. If you haven't secured a niche 00:20:04.359 --> 00:20:06.779 market or scaled up by the time that $11 billion 00:20:06.779 --> 00:20:09.880 in infrastructure comes fully online, you risk 00:20:09.880 --> 00:20:12.660 finding yourself in a milkshed with no processor 00:20:12.660 --> 00:20:15.279 willing to take your supply. Because their contracts 00:20:15.279 --> 00:20:17.680 will already be filled by the large high volume 00:20:17.680 --> 00:20:20.299 operations. And fueling this push for automation 00:20:20.299 --> 00:20:24.339 is the labor paradox. We know 51 % of the U .S. 00:20:24.359 --> 00:20:27.210 milk supply relies on immigrant labor. Yet the 00:20:27.210 --> 00:20:29.990 industry struggles immensely to staff both farm 00:20:29.990 --> 00:20:32.950 operations and new construction projects. It's 00:20:32.950 --> 00:20:35.750 a huge friction point. We saw budget overruns, 00:20:35.750 --> 00:20:38.230 like the Dairy Gold facility in Pasco, Washington, 00:20:38.369 --> 00:20:41.049 where construction costs ballooned by $300 million, 00:20:41.430 --> 00:20:44.730 largely due to labor shortages and material inflation. 00:20:45.009 --> 00:20:46.890 So if the processors can't build efficiently 00:20:46.890 --> 00:20:49.430 and the farms can't staff their parlors, the 00:20:49.430 --> 00:20:51.890 corporate solution is capital substitution. Exactly. 00:20:52.049 --> 00:20:54.710 The $11 billion is primarily an investment in 00:20:54.710 --> 00:20:57.220 robotics. automated palletizers, and continuous 00:20:57.220 --> 00:20:59.740 flow vats. This raises the capital barrier to 00:20:59.740 --> 00:21:02.160 entry incredibly high, further entrenching the 00:21:02.160 --> 00:21:04.019 dominance of the big three who can afford this 00:21:04.019 --> 00:21:07.420 upfront cost. To immunize themselves against 00:21:07.420 --> 00:21:10.240 rising labor costs and the ongoing political 00:21:10.240 --> 00:21:13.180 uncertainty surrounding immigration. And finally, 00:21:13.240 --> 00:21:17.089 the regulatory context. The FMMO controversy. 00:21:17.269 --> 00:21:20.009 Yeah, yes, the make allowances. The USDA approved 00:21:20.009 --> 00:21:22.549 a massive increase to the make allowances in 00:21:22.549 --> 00:21:25.750 2025, which is the fixed credit processors received 00:21:25.750 --> 00:21:28.470 to cover manufacturing costs. Everything from 00:21:28.470 --> 00:21:31.829 energy and labor to packaging. Let's break down 00:21:31.829 --> 00:21:33.930 the mechanics because this is critical for every 00:21:33.930 --> 00:21:36.549 farmer listening. The make allowance is subtracted 00:21:36.549 --> 00:21:38.349 from the wholesale price of the finished product, 00:21:38.410 --> 00:21:41.470 say cheese, to determine the minimum price the 00:21:41.470 --> 00:21:44.220 processor must pay you for the raw milk. So when 00:21:44.220 --> 00:21:46.559 that allowance increases, the minimum price you, 00:21:46.700 --> 00:21:49.119 the farmer, receive goes down. It's an instant 00:21:49.119 --> 00:21:51.220 structural transfer of hundreds of millions of 00:21:51.220 --> 00:21:53.519 dollars from producer milk checks directly onto 00:21:53.519 --> 00:21:56.259 the processor balance sheets. And while the USDA 00:21:56.259 --> 00:21:59.099 justifies this by citing rising processing costs, 00:21:59.240 --> 00:22:01.819 which are real, the implementation of this change 00:22:01.819 --> 00:22:04.299 means the producer is absorbing the cost of inflation 00:22:04.299 --> 00:22:06.519 on the manufacturing side. And here's the governance 00:22:06.519 --> 00:22:08.960 failure. This increase was approved through block 00:22:08.960 --> 00:22:12.380 voting by cooperative boards like DFAs. Right. 00:22:12.460 --> 00:22:15.319 So when the cooperative casts a single vote representing 00:22:15.319 --> 00:22:17.960 all its thousands of members, the individual 00:22:17.960 --> 00:22:20.700 farmer who opposes the allowance increase is 00:22:20.700 --> 00:22:23.299 effectively disenfranchised. The cooperative 00:22:23.299 --> 00:22:25.579 corporate leadership, which benefits from the 00:22:25.579 --> 00:22:28.299 increased allowance via the processing arm, holds 00:22:28.299 --> 00:22:31.440 all the power in the voting process. The FMMO 00:22:31.440 --> 00:22:34.019 block voting structure and the inherent conflict 00:22:34.019 --> 00:22:37.099 within the co -op model sets the stage perfectly 00:22:37.099 --> 00:22:39.279 for our deeper look into governance failure and 00:22:39.279 --> 00:22:41.599 antitrust issues. We have to discuss the landmark 00:22:41.599 --> 00:22:45.900 $34 .4 million antitrust settlement in the Southwest. 00:22:46.319 --> 00:22:48.900 This is critical because it validates years of 00:22:48.900 --> 00:22:51.059 pharma suspicion that the cooperative structure 00:22:51.059 --> 00:22:53.839 can be used not to serve the producer, but to 00:22:53.839 --> 00:22:56.660 manipulate the market against them. DFA's share 00:22:56.660 --> 00:22:59.950 of that settlement was $24 .5 million. resolving 00:22:59.950 --> 00:23:02.390 a class -action antitrust lawsuit in the Southwest. 00:23:02.769 --> 00:23:05.130 And the core allegation was a conspiracy to suppress 00:23:05.130 --> 00:23:08.549 milk prices from 2015 through 2025. How did they 00:23:08.549 --> 00:23:10.670 allegedly do it? The mechanism centered on the 00:23:10.670 --> 00:23:13.990 Greater Southwest Agency, or GSA, which was jointly 00:23:13.990 --> 00:23:17.710 owned by DFA and select milk producers. The GSA 00:23:17.710 --> 00:23:20.450 wasn't just a data -sharing body. It was allegedly 00:23:20.450 --> 00:23:22.890 used to coordinate pay structures and pricing 00:23:22.890 --> 00:23:25.789 data, effectively eliminating price competition 00:23:25.789 --> 00:23:28.150 for raw milk in that region. Think of it like 00:23:28.150 --> 00:23:30.819 this. If two major processors are bidding on 00:23:30.819 --> 00:23:33.880 raw milk, the price goes up. Right. Basic supply 00:23:33.880 --> 00:23:36.420 and demand. But if those two major processors 00:23:36.420 --> 00:23:38.640 coordinate their bidding through an agency they 00:23:38.640 --> 00:23:41.259 jointly own, they can agree to a lower ceiling, 00:23:41.519 --> 00:23:44.440 guaranteeing both get the raw material at a discount. 00:23:44.720 --> 00:23:48.180 The GSA was allegedly the vehicle for this cartel 00:23:48.180 --> 00:23:50.279 effect. But the most compelling and insidious 00:23:50.279 --> 00:23:53.809 allegation was the selective de -pooling. This 00:23:53.809 --> 00:23:56.029 requires a brief explanation of FMMO mechanics. 00:23:56.410 --> 00:23:59.109 Normally, all milk is pooled and farmers receive 00:23:59.109 --> 00:24:01.630 a blend price. But the lawsuit alleged that when 00:24:01.630 --> 00:24:03.829 market prices for certain finished products like 00:24:03.829 --> 00:24:06.609 cheese were high, the cooperatives would remove 00:24:06.609 --> 00:24:09.789 milk volumes from the FMMO pool. Why de -pool? 00:24:09.950 --> 00:24:11.769 Why would they do that? Because removing the 00:24:11.769 --> 00:24:14.450 milk allowed the processing arm of the cooperative 00:24:14.450 --> 00:24:17.410 to retain the revenue surplus that was above 00:24:17.410 --> 00:24:20.109 the regulated blend price. So instead of that 00:24:20.109 --> 00:24:22.690 surplus being distributed to all farmer members 00:24:22.690 --> 00:24:25.809 via the regulated pool price, the co -ops corporate 00:24:25.809 --> 00:24:28.829 division captured that high margin revenue directly. 00:24:29.130 --> 00:24:31.609 It's the ultimate conflict. When prices were 00:24:31.609 --> 00:24:34.089 low, they kept the milk in the pool to stabilize 00:24:34.089 --> 00:24:36.630 the member price. When prices were high, they 00:24:36.630 --> 00:24:38.589 pulled the milk out to maximize corporate revenue. 00:24:38.789 --> 00:24:40.990 It's a heads -I -win, tails -you -lose situation 00:24:40.990 --> 00:24:43.450 for the co -ops corporate side. The settlement, 00:24:43.609 --> 00:24:46.829 which forced DFA and Select to dissolve the GSA, 00:24:47.480 --> 00:24:50.839 and implement mandatory antitrust training, validates 00:24:50.839 --> 00:24:52.839 the suspicion that the cooperative structure 00:24:52.839 --> 00:24:56.420 can and has evolved into a monopsonistic processor 00:24:56.420 --> 00:24:59.279 viewing its members as managed suppliers. And 00:24:59.279 --> 00:25:01.700 this settlement, following similar multi -million 00:25:01.700 --> 00:25:03.839 dollar cases in the Southeast and Northeast, 00:25:04.160 --> 00:25:07.000 establishes a clear and troubling pattern. It 00:25:07.000 --> 00:25:08.900 forces the individual producer to acknowledge 00:25:08.900 --> 00:25:11.339 that their own cooperative may not always be 00:25:11.339 --> 00:25:13.640 operating in their financial best interest. So 00:25:13.640 --> 00:25:18.599 we accept this reality. The brutal $9 .77 math 00:25:18.599 --> 00:25:21.880 is against the small farm. Processors are consolidating 00:25:21.880 --> 00:25:24.859 globally, and the cooperative model has governance 00:25:24.859 --> 00:25:28.559 conflicts. We cannot end here. What is the actionable 00:25:28.559 --> 00:25:30.819 survival playbook? This is the most important 00:25:30.819 --> 00:25:32.869 part. Because the conventional wisdom is clear. 00:25:33.210 --> 00:25:36.450 Solo farms are dead farms unless they drastically 00:25:36.450 --> 00:25:38.849 specialize or collaborate. We need actionable, 00:25:38.950 --> 00:25:41.150 size -specific strategies, starting with the 00:25:41.150 --> 00:25:43.750 small herd, those under 200 cows who are facing 00:25:43.750 --> 00:25:45.990 the sharpest attrition. For the small herd, forget 00:25:45.990 --> 00:25:48.240 the commodity tank entirely. Your survival path 00:25:48.240 --> 00:25:50.460 is specialization. You have to get out of that 00:25:50.460 --> 00:25:52.960 game. The data shows the organic sector, growing 00:25:52.960 --> 00:25:56.480 7 .7 % in 2024, is still viable. But the real 00:25:56.480 --> 00:25:59.240 leverage is hyper -niche. Regional groups in 00:25:59.240 --> 00:26:01.720 Pennsylvania supplying specialty markets A2A2, 00:26:01.920 --> 00:26:04.859 grass -fed, heritage breeds, are reporting premiums 00:26:04.859 --> 00:26:06.980 of $2 to $4 per hundredweight. Wait, let's connect 00:26:06.980 --> 00:26:09.700 that back. If the commodity price is $23 and 00:26:09.700 --> 00:26:12.980 your cup is $32 .83, you need nearly $10 in premium 00:26:12.980 --> 00:26:16.160 to break even. A $4 premium from a niche market 00:26:16.160 --> 00:26:19.160 only closes the gap halfway, but it's a necessary 00:26:19.160 --> 00:26:22.440 start. You must combine that premium with drastically 00:26:22.440 --> 00:26:25.220 lower input costs, often achieved through grass 00:26:25.220 --> 00:26:27.579 -fed or reduced feed purchases, and extremely 00:26:27.579 --> 00:26:31.539 low debt to survive. Exactly. A2A2 milk, grass 00:26:31.539 --> 00:26:33.920 -fed certification, and establishing a hyper 00:26:33.920 --> 00:26:36.500 -local brand with direct sales are no longer 00:26:36.500 --> 00:26:39.059 side projects. They are the entire business model. 00:26:39.180 --> 00:26:41.420 You must capture the maximum consumer dollar 00:26:41.420 --> 00:26:44.259 possible. Now, the middle ground, the 200 to 00:26:44.259 --> 00:26:46.819 1 ,000 cow tier, this is the hardest group to 00:26:46.819 --> 00:26:48.400 advise. It is. They're caught in the middle. 00:26:48.500 --> 00:26:50.859 They're too large for easy specialization, but 00:26:50.859 --> 00:26:54.039 too small for the $23 and 6 hate under 6 efficiency. 00:26:54.559 --> 00:26:57.160 They have to focus ruthlessly on quality and 00:26:57.160 --> 00:26:59.500 components. They must leverage technology for 00:26:59.500 --> 00:27:02.279 consistency. Robotic milking systems are a massive 00:27:02.279 --> 00:27:05.400 capital outlay, easily $1 .5 million to $3 million 00:27:05.400 --> 00:27:08.539 for this size, but they stabilize labor, improve 00:27:08.539 --> 00:27:11.180 milking consistency, and drive down somatic cell 00:27:11.180 --> 00:27:13.180 counts. And that consistency is exactly what 00:27:13.180 --> 00:27:16.099 the new, highly automated ingredient plants demand. 00:27:16.440 --> 00:27:18.539 And critically, this middle ground must achieve 00:27:18.539 --> 00:27:21.309 collaboration without consolidation. Stop selling 00:27:21.309 --> 00:27:23.690 milk alone. You have to. They must research and 00:27:23.690 --> 00:27:26.029 join producer quality alliances in the upper 00:27:26.029 --> 00:27:28.890 Midwest that have successfully negotiated component 00:27:28.890 --> 00:27:32.089 premiums averaging $2 to $3 per hundredweight 00:27:32.089 --> 00:27:34.890 by consistently guaranteeing butterfat above 00:27:34.890 --> 00:27:38.569 4 .0 % and high protein. The sources showed Jersey 00:27:38.569 --> 00:27:40.910 operations consistently achieving butterfat levels 00:27:40.910 --> 00:27:44.609 above 5 .0%, which is how you access those substantial 00:27:44.609 --> 00:27:46.990 component premiums. So if you pool your high 00:27:46.990 --> 00:27:49.230 component milk with 5 or 10 other medium -sized 00:27:49.230 --> 00:27:52.150 farms, you suddenly have the volume to negotiate 00:27:52.150 --> 00:27:54.430 directly with the cheese or ingredient buyer. 00:27:55.240 --> 00:27:57.460 bypassing the commodity spot market. Finally, 00:27:57.539 --> 00:28:00.859 the big players, the 1 ,000 plus cow operations. 00:28:00.940 --> 00:28:03.279 They have the cop advantage, but their risk is 00:28:03.279 --> 00:28:06.259 reliance on a single massive buyer who will try 00:28:06.259 --> 00:28:08.619 to lock them into long -term unfavorable terms. 00:28:08.839 --> 00:28:10.660 Their survival strategy is leverage maintenance. 00:28:11.180 --> 00:28:13.660 Never forward contract more than 60 % to 70 % 00:28:13.660 --> 00:28:15.779 of your production. You must maintain flexibility 00:28:15.779 --> 00:28:17.880 to capture spot market peaks. And you should 00:28:17.880 --> 00:28:20.240 either own your transportation or maintain strong 00:28:20.240 --> 00:28:22.519 relationships with multiple hauling options so 00:28:22.519 --> 00:28:24.619 the processor cannot squeeze you on hauling costs 00:28:24.619 --> 00:28:27.619 or threaten market access. And always, always 00:28:27.619 --> 00:28:31.039 demand escalation clauses tied to feed costs 00:28:31.039 --> 00:28:34.880 in long -term contracts. Do not depend on a static 00:28:34.880 --> 00:28:38.269 base price. If inputs jump 20%, you need an automatic 00:28:38.269 --> 00:28:40.630 mechanism to trigger a commensurate increase 00:28:40.630 --> 00:28:42.990 in pay price. Maintain relationships with two 00:28:42.990 --> 00:28:45.569 or three major buyers because, as the DFA case 00:28:45.569 --> 00:28:48.430 shows, market power will eventually be used against 00:28:48.430 --> 00:28:51.349 a sole supplier. The central takeaway, regardless 00:28:51.349 --> 00:28:53.910 of scale, is that the battleground has entirely 00:28:53.910 --> 00:28:56.109 moved from the efficiency of the farm parlor 00:28:56.109 --> 00:28:58.970 to the leverage you hold in the market. 100%. 00:28:58.970 --> 00:29:01.269 All right, farmer just finished morning milking. 00:29:01.289 --> 00:29:03.900 They're driving to the feed store. What are the 00:29:03.900 --> 00:29:05.759 three things they need to know from this deep 00:29:05.759 --> 00:29:08.019 dive, the three actionable steps they must take? 00:29:08.240 --> 00:29:11.299 Number one, immediate action starting this week. 00:29:11.460 --> 00:29:14.400 Know your buyer's game. You must stop accepting 00:29:14.400 --> 00:29:16.220 the status quo from your field representative. 00:29:16.460 --> 00:29:19.160 Ask the critical high -level questions provided 00:29:19.160 --> 00:29:21.819 in the source analysis. Like what? Like what 00:29:21.819 --> 00:29:24.440 percentage of your milk goes to the export market? 00:29:24.619 --> 00:29:26.819 What percentage is used for specialized ingredients? 00:29:27.240 --> 00:29:30.160 And most importantly, what is the plan if your 00:29:30.160 --> 00:29:32.990 processor... consolidates or closes facilities 00:29:32.990 --> 00:29:34.930 in the next 18 months. If you don't know where 00:29:34.930 --> 00:29:36.690 your milk is going, you don't know your risk 00:29:36.690 --> 00:29:39.150 profile. And if your processor is investing $11 00:29:39.150 --> 00:29:42.390 billion in automated ingredient plants, but you're 00:29:42.390 --> 00:29:45.930 a 200 -cow commodity supplier, you are not aligned 00:29:45.930 --> 00:29:48.549 with their future. The medium -term strategy 00:29:48.549 --> 00:29:51.609 over the next three to six months has to be about 00:29:51.609 --> 00:29:54.690 finding your premium alliance. If you are operating 00:29:54.690 --> 00:29:56.990 under 1 ,000 cows, you must stop competing alone. 00:29:57.440 --> 00:29:59.680 This means actively researching producer alliances, 00:29:59.880 --> 00:30:01.819 not just talking about it, but attending meetings 00:30:01.819 --> 00:30:04.859 and looking at bylaws. Explore specialty markets 00:30:04.859 --> 00:30:08.519 like organic or A2A2 to capture the $4 to $8 00:30:08.519 --> 00:30:10.740 per hundredweight premiums needed to bridge that 00:30:10.740 --> 00:30:13.559 catastrophic cop gap with the mega dairies. You 00:30:13.559 --> 00:30:15.779 need those premiums to fund the necessary capital 00:30:15.779 --> 00:30:19.000 investments. You do. And finally, the long -term 00:30:19.000 --> 00:30:21.400 positioning, the next one to two years. Assess 00:30:21.400 --> 00:30:24.339 scale versus specialization. You must acknowledge 00:30:24.339 --> 00:30:27.779 the 2028 deadline. The $11 billion new infrastructure 00:30:27.779 --> 00:30:30.480 is coming online, designed exclusively for high 00:30:30.480 --> 00:30:33.240 volume and consistency. So if you cannot realistically 00:30:33.240 --> 00:30:36.200 scale your operation to 1 ,000 plus cows to become 00:30:36.200 --> 00:30:38.180 a tier one supplier for the new infrastructure, 00:30:38.559 --> 00:30:41.420 you must secure a niche market or a high component 00:30:41.420 --> 00:30:44.210 contract immediately. If you try to survive in 00:30:44.210 --> 00:30:46.470 the commodity market at a mid -scale size, the 00:30:46.470 --> 00:30:49.789 brutal $9 .77 math and the consolidating power 00:30:49.789 --> 00:30:52.150 of the big three will eliminate you before that 00:30:52.150 --> 00:30:54.630 2028 infrastructure is even fully commissioned. 00:30:54.829 --> 00:30:57.670 The time for hedging is over. This has been another 00:30:57.670 --> 00:31:00.049 deep dive from the Bullvine podcast. If this 00:31:00.049 --> 00:31:02.250 kind of analysis helps your operation, head to 00:31:02.250 --> 00:31:04.990 www .thebullvine .com for more articles that 00:31:04.990 --> 00:31:07.150 tell you what's really happening in dairy. Knowledge 00:31:07.150 --> 00:31:10.549 really is power when you're facing a $9 .77 disadvantage. 00:31:11.049 --> 00:31:13.269 And seriously, subscribe wherever you get your 00:31:13.269 --> 00:31:15.900 deep dives. We're releasing episodes twice weekly 00:31:15.900 --> 00:31:17.920 now, and trust me, you don't want to miss what 00:31:17.920 --> 00:31:20.220 we've got coming next week about the escalating 00:31:20.220 --> 00:31:22.480 risks associated with foreign land ownership 00:31:22.480 --> 00:31:25.380 in agriculture, a trend that goes hand in hand 00:31:25.380 --> 00:31:27.440 with the processing consolidation we discussed 00:31:27.440 --> 00:31:29.880 today, and why the ownership of prime farmland 00:31:29.880 --> 00:31:32.900 is becoming the next battleground for market 00:31:32.900 --> 00:31:33.259 control.