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 --> 00:01:03.320 we're sparking Hey everyone, welcome to the Bullvine 00:01:03.320 --> 00:01:06.599 Podcast. Today, we are exploring how mid -sized 00:01:06.599 --> 00:01:09.400 dairies are outpacing the mega farms by thinking 00:01:09.400 --> 00:01:12.879 smarter, not bigger. Please sit back, pour your 00:01:12.879 --> 00:01:15.340 coffee, and let's get into the story shaping 00:01:15.340 --> 00:01:17.969 the future of dairy. Welcome back to the Bullvine 00:01:17.969 --> 00:01:20.569 Podcast, the show that digs deep into the topics 00:01:20.569 --> 00:01:23.310 that matter to dairy producers. Today, we're 00:01:23.310 --> 00:01:25.170 diving into a feature article from the Bullvine 00:01:25.170 --> 00:01:27.650 that sparked some serious discussion across the 00:01:27.650 --> 00:01:29.629 industry. That's right. This isn't just another 00:01:29.629 --> 00:01:33.290 article. It's a real game changer, really. We're 00:01:33.290 --> 00:01:35.569 going to break down how smart dairies, specifically 00:01:35.569 --> 00:01:38.430 those often overlooked mid -sized operations, 00:01:38.930 --> 00:01:42.409 you know, in that sweet spot of maybe 400, 600 00:01:42.409 --> 00:01:46.230 cows, how they're not just surviving but actually 00:01:46.230 --> 00:01:49.430 outperforming mega farms in this, well, this 00:01:49.430 --> 00:01:52.549 rapidly evolving era of dairy production. Our 00:01:52.549 --> 00:01:54.689 mission today is to really pull out the most 00:01:54.689 --> 00:01:56.689 important nuggets of knowledge from this piece 00:01:56.689 --> 00:01:59.510 and help you understand why this shift is happening 00:01:59.510 --> 00:02:02.129 and maybe more importantly, what it could mean 00:02:02.129 --> 00:02:04.390 for your operation. It's a really compelling 00:02:04.390 --> 00:02:06.629 narrative and it challenges decades of conventional 00:02:06.629 --> 00:02:09.469 wisdom, doesn't it? Absolutely. Many of us can 00:02:09.469 --> 00:02:11.710 remember the mantra in dairy has just been get 00:02:11.710 --> 00:02:14.610 big or get out. Yeah. It felt like the only guaranteed 00:02:14.610 --> 00:02:17.349 path to survival was just relentless expansion, 00:02:17.669 --> 00:02:21.250 chasing those economies of scale. And for a long 00:02:21.250 --> 00:02:23.889 time, the numbers, well, they seem to back that 00:02:23.889 --> 00:02:26.870 up. They painted a pretty stark picture of consolidation 00:02:26.870 --> 00:02:29.150 across the U .S. dairy landscape. Oh, absolutely. 00:02:29.530 --> 00:02:32.819 The sheer scale of that consolidation is. It's 00:02:32.819 --> 00:02:35.039 almost breathtaking when you look at it. Between 00:02:35.039 --> 00:02:38.520 2017 and 2022, the U .S. dairy industry saw this 00:02:38.520 --> 00:02:42.120 truly dramatic transformation. We lost about 00:02:42.120 --> 00:02:46.740 15 ,600 dairy farms. Wow. Which is a staggering 00:02:46.740 --> 00:02:50.680 40 % decline in just five years. 40 %? Yeah. 00:02:51.129 --> 00:02:53.090 To put that into perspective, that's I mean, 00:02:53.110 --> 00:02:54.789 that's one of the most significant consolidations 00:02:54.789 --> 00:02:57.509 in agricultural history. The article calls it 00:02:57.509 --> 00:03:00.169 a genuine stampede for the exits. And that really 00:03:00.169 --> 00:03:02.889 paints a picture. It really does. It speaks volumes 00:03:02.889 --> 00:03:05.110 about the intense pressures facing producers, 00:03:05.270 --> 00:03:07.509 forcing so many family operations to make these 00:03:07.509 --> 00:03:09.909 incredibly difficult decisions. It really makes 00:03:09.909 --> 00:03:13.050 you pause and think about the human stories behind 00:03:13.050 --> 00:03:15.650 those numbers. Thousands of families who poured 00:03:15.650 --> 00:03:18.210 their lives into their farms now finding themselves 00:03:18.210 --> 00:03:20.860 sort of on the outside looking in. And yet. What's 00:03:20.860 --> 00:03:23.479 truly fascinating, almost counterintuitive, is 00:03:23.479 --> 00:03:26.000 the contradiction that lies beneath those stark 00:03:26.000 --> 00:03:29.439 figures. Despite nearly 40 % of farms disappearing 00:03:29.439 --> 00:03:31.659 from the landscape, milk production in the U 00:03:31.659 --> 00:03:34.900 .S. actually increased by 5 % during that exact 00:03:34.900 --> 00:03:37.469 same period. And that right there, that's the 00:03:37.469 --> 00:03:40.150 crux of the whole get big or get out philosophy, 00:03:40.349 --> 00:03:42.949 isn't it? It highlights how dramatically efficiency 00:03:42.949 --> 00:03:45.310 and just sheer scale have reshaped the sector. 00:03:45.449 --> 00:03:47.669 It's not just about the loss of farms. It's about 00:03:47.669 --> 00:03:50.449 the immense concentration of where that production 00:03:50.449 --> 00:03:52.669 has landed. The article points out that farms 00:03:52.669 --> 00:03:56.469 with 2 ,500 more cows, they now control an astounding 00:03:56.469 --> 00:03:59.770 46 % of all U .S. milk production. Almost half 00:03:59.770 --> 00:04:02.960 from just 3 % of the farms. Exactly. Let me repeat 00:04:02.960 --> 00:04:05.439 that. Nearly half the nation's milk comes from 00:04:05.439 --> 00:04:07.879 these operations, even though they represent 00:04:07.879 --> 00:04:11.539 just a tiny fraction, a mere 3 % of total dairy 00:04:11.539 --> 00:04:14.979 operations. This isn't just a trend. It's a real 00:04:14.979 --> 00:04:16.740 economic force, and we're seeing it continue 00:04:16.740 --> 00:04:19.959 in real time. Wisconsin losing 400 farms just 00:04:19.959 --> 00:04:23.120 in 2024. Minnesota and New York combined shedding 00:04:23.120 --> 00:04:26.360 another 315 in the same period. It's just testament 00:04:26.360 --> 00:04:28.560 to the relentless economic pressures driving 00:04:28.560 --> 00:04:30.899 this. And traditionally, they'd get big wisdom. 00:04:31.180 --> 00:04:34.399 was rooted in a very real, very tangible economic 00:04:34.399 --> 00:04:37.160 advantage. It wasn't just like a theory. No, 00:04:37.199 --> 00:04:39.360 it was real money. Historically, large scale 00:04:39.360 --> 00:04:41.860 operations, especially those with 2000 plus cows, 00:04:42.040 --> 00:04:44.560 they could reliably operate at about $10 less 00:04:44.560 --> 00:04:47.079 per hundredweight than smaller farms. Say, you 00:04:47.079 --> 00:04:50.379 know, those in the 100, 199 cow range. $10 a 00:04:50.379 --> 00:04:52.480 hundredweight, different. Yeah. Think about what 00:04:52.480 --> 00:04:54.800 that difference means on a farm day in, day out. 00:04:54.959 --> 00:04:58.120 In 2022, for instance, total production costs 00:04:58.120 --> 00:05:02.189 for those smaller operations averaged $23 .06 00:05:02.189 --> 00:05:04.959 per 100 weight. So if you're a producer looking 00:05:04.959 --> 00:05:07.600 at those numbers, it made perfect sense why massive 00:05:07.600 --> 00:05:10.240 scale was seen as the primary, maybe the only 00:05:10.240 --> 00:05:14.319 guarantee of survival. It was about pure, undeniable 00:05:14.319 --> 00:05:17.519 cost advantage through volume purchasing, specialized 00:05:17.519 --> 00:05:19.899 equipment, streamlined processes. Right. And 00:05:19.899 --> 00:05:22.160 for decades, that advantage was, well, it was 00:05:22.160 --> 00:05:24.279 practically unassailable. Larger farms could 00:05:24.279 --> 00:05:26.620 negotiate better prices on feed, which, you know, 00:05:26.620 --> 00:05:28.500 can eat up like 60 percent of your expenses. 00:05:28.740 --> 00:05:31.500 Huge. They could invest in larger, more efficient 00:05:31.500 --> 00:05:33.790 machinery, spread fixed. costs over more units, 00:05:33.829 --> 00:05:36.389 command more favorable terms with milk processors, 00:05:36.550 --> 00:05:38.930 all that stuff. But what's truly fascinating, 00:05:39.170 --> 00:05:40.810 and this is where the article really pivots, 00:05:40.829 --> 00:05:42.709 is that these aggregate statistics, while they 00:05:42.709 --> 00:05:45.089 clearly show immense consolidation, they might 00:05:45.089 --> 00:05:48.490 actually be masking a far more nuanced and dynamic 00:05:48.490 --> 00:05:51.129 reality. It's not just about the raw numbers 00:05:51.129 --> 00:05:53.550 anymore. It's about the unique vulnerabilities 00:05:53.550 --> 00:05:57.290 that these mega -dairies now face. Vulnerabilities 00:05:57.290 --> 00:06:00.389 that smart, agile, mid -sized operations are 00:06:00.389 --> 00:06:03.250 actually learning to exploit. So you're saying 00:06:03.250 --> 00:06:05.730 the game is changing, that the traditional advantages 00:06:05.730 --> 00:06:08.629 of scale aren't the only path to success anymore. 00:06:08.850 --> 00:06:10.730 That's what the evidence suggests. Because if 00:06:10.730 --> 00:06:12.790 I'm a producer who's been told for 30 years that 00:06:12.790 --> 00:06:15.569 scale is everything, how do I wrap my head around 00:06:15.569 --> 00:06:18.379 this shift? Precisely. It's almost like the industry 00:06:18.379 --> 00:06:21.639 is hitting a fork in the road. Where the path 00:06:21.639 --> 00:06:24.319 forward isn't solely about pure size anymore, 00:06:24.560 --> 00:06:26.899 while those larger farms definitely still have 00:06:26.899 --> 00:06:29.399 their built -in advantages, their sheer size 00:06:29.399 --> 00:06:32.819 can also be their Achilles heel. How so? Well, 00:06:32.839 --> 00:06:35.370 imagine the complexity. Managing thousands of 00:06:35.370 --> 00:06:37.910 cows, hundreds of employees, vast tracts of land, 00:06:38.089 --> 00:06:40.930 any hiccup, a labor shortage, a regulatory change, 00:06:41.089 --> 00:06:43.910 even just a single feed delivery delay can create 00:06:43.910 --> 00:06:46.550 these cascading problems. And they're incredibly 00:06:46.550 --> 00:06:49.250 difficult and costly to address because of the 00:06:49.250 --> 00:06:52.110 sheer inertia of such a large operation. Right. 00:06:52.149 --> 00:06:55.129 Harder to turn the big ship. Exactly. And this 00:06:55.129 --> 00:06:57.649 is where we get to the kind of the aha moment 00:06:57.649 --> 00:07:01.810 of the article. Some mid -sized operations, specifically 00:07:01.810 --> 00:07:05.149 those in that 400, 600 cow sweet spot. They're 00:07:05.149 --> 00:07:07.430 not just hanging on. They're posting better margins 00:07:07.430 --> 00:07:10.089 and operations twice their size. Better margins. 00:07:10.209 --> 00:07:13.329 Yeah. They're finding ways to thrive in the margins, 00:07:13.470 --> 00:07:16.170 you know, to work smarter, not just bigger. Better 00:07:16.170 --> 00:07:18.230 margins than farms twice their size. That's a 00:07:18.230 --> 00:07:20.810 truly provocative claim. It completely upends 00:07:20.810 --> 00:07:23.490 the, you know, the brutal reality of consolidation 00:07:23.490 --> 00:07:25.990 we just talked about. It does. And it reveals 00:07:25.990 --> 00:07:28.350 this surprising trend. It sounds like the financial 00:07:28.350 --> 00:07:31.189 stress, the multimillion dollar investments with 00:07:31.189 --> 00:07:35.149 these multi -year paybacks, and the sort of implicit 00:07:35.149 --> 00:07:37.290 assumption that everything has to go perfectly. 00:07:38.540 --> 00:07:40.680 That's a heavy burden for many of these huge 00:07:40.680 --> 00:07:43.600 operations. A very heavy burden. So what exactly 00:07:43.600 --> 00:07:46.800 is allowing these mid -sized farms to redefine 00:07:46.800 --> 00:07:48.680 success, to achieve this kind of performance? 00:07:48.959 --> 00:07:50.720 What's their secret weapon? Well, their secret 00:07:50.720 --> 00:07:52.699 weapon, it seems, is a combination of strategic 00:07:52.699 --> 00:07:56.639 thinking and, crucially, technology, which leads 00:07:56.639 --> 00:08:00.259 us right into our second major theme, the technology 00:08:00.259 --> 00:08:02.839 revolution that's reshaping the dairy landscape. 00:08:03.480 --> 00:08:06.639 The article highlights how affordable precision 00:08:06.639 --> 00:08:10.079 dairy technology is fundamentally altering the 00:08:10.079 --> 00:08:13.139 competitive landscape. It's making tools that 00:08:13.139 --> 00:08:15.339 were once exclusive to the giants accessible 00:08:15.339 --> 00:08:18.720 to these midsize farms. It's a genuine technology 00:08:18.720 --> 00:08:21.319 revolution happening right now. And here's where 00:08:21.319 --> 00:08:22.879 it gets really interesting, because this isn't 00:08:22.879 --> 00:08:25.420 about some, you know, future theoretical tech. 00:08:25.600 --> 00:08:29.139 This is happening now. Take robotic milking systems, 00:08:29.240 --> 00:08:32.059 for instance. A decade ago. These felt like something 00:08:32.059 --> 00:08:34.399 out of a sci -fi movie, right? Or at least only 00:08:34.399 --> 00:08:36.679 for the absolute deepest pockets, the Megadaries. 00:08:36.779 --> 00:08:39.860 Totally. But now. They're not just a viable option. 00:08:39.899 --> 00:08:42.340 They're becoming a strategic necessity for a 00:08:42.340 --> 00:08:45.519 farm with, say, 400, 600 cows. The adoption rate 00:08:45.519 --> 00:08:47.500 is just soaring across North America. It really 00:08:47.500 --> 00:08:50.519 is. Approximately 20 % of U .S. dairy cows are 00:08:50.519 --> 00:08:53.059 now milked by robotic systems. And in Canada, 00:08:53.220 --> 00:08:55.379 those adoption rates are even higher. It reflects 00:08:55.379 --> 00:08:58.379 a global trend. 20 % already. Yeah. And it's 00:08:58.379 --> 00:09:00.860 not just about the shiny new equipment or the 00:09:00.860 --> 00:09:04.419 novelty of automation. It's about the tangible, 00:09:04.519 --> 00:09:07.500 compelling economics of this technology. One 00:09:07.500 --> 00:09:10.179 of the biggest drivers, as Dr. Lainey Koval from 00:09:10.179 --> 00:09:13.299 Cornell's ProDairy program confirms, is labor 00:09:13.299 --> 00:09:16.720 savings. Ah, the labor piece. Huge. Critical 00:09:16.720 --> 00:09:19.139 in an industry perpetually grappling with labor 00:09:19.139 --> 00:09:22.480 shortages. Robotics can cut hands -on labor requirements 00:09:22.480 --> 00:09:25.820 by a significant 30 -40%. For family operations, 00:09:25.919 --> 00:09:28.679 where every hour counts, this isn't just a convenience. 00:09:28.799 --> 00:09:31.539 It's a game -changer for quality of life, for 00:09:31.539 --> 00:09:35.240 sustainability. 30 -40 % less labor. Wow. Yeah. 00:09:35.340 --> 00:09:37.700 And there was a Cornell study focused on farms 00:09:37.700 --> 00:09:40.500 around 390 cows using automatic milking systems, 00:09:40.740 --> 00:09:43.600 AMS. They found farmers' estimated labor costs 00:09:43.600 --> 00:09:47.120 dropped by over 21%. Okay. But get this. They 00:09:47.120 --> 00:09:49.860 also reported a 58 % increase in milk production. 00:09:50.100 --> 00:09:52.860 58 % increase. And a 32 % improvement in milk 00:09:52.860 --> 00:09:55.480 quality. So less cost, more milk, better quality. 00:09:55.759 --> 00:09:58.279 Exactly. Think about that for a moment. Significant 00:09:58.279 --> 00:10:00.639 cost reduction, higher output, and better quality, 00:10:00.779 --> 00:10:03.370 all from one strategic investment. That's an 00:10:03.370 --> 00:10:06.850 incredible trifecta of benefits. It also is too 00:10:06.850 --> 00:10:09.429 good to be true. But the data, I mean, it's compelling. 00:10:09.590 --> 00:10:11.830 It really is. And the article gives this fantastic 00:10:11.830 --> 00:10:14.370 anecdote that really brings it to life for any 00:10:14.370 --> 00:10:17.289 farmer listening. A producer in central Wisconsin 00:10:17.289 --> 00:10:20.049 recounted that during two recent power outages. 00:10:20.899 --> 00:10:23.519 His robots just picked up right where they left 00:10:23.519 --> 00:10:26.460 off when the power came back on. He didn't lose 00:10:26.460 --> 00:10:28.519 sleep worrying about getting the cow's milk. 00:10:28.580 --> 00:10:30.799 That's not just peace of mind. That's operational 00:10:30.799 --> 00:10:33.600 resilience. Huge. It means less stress during 00:10:33.600 --> 00:10:36.159 critical times, maintaining consistent protocols 00:10:36.159 --> 00:10:38.899 regardless of what's happening outside. You just 00:10:38.899 --> 00:10:41.139 can't put a price on that. You absolutely can't. 00:10:41.259 --> 00:10:43.360 But there is a price for the initial investment, 00:10:43.500 --> 00:10:45.440 and it's surprisingly reasonable for the return 00:10:45.440 --> 00:10:48.620 it offers. A typical robotic wilking system costs 00:10:48.620 --> 00:10:52.659 between, say, $150 ,000 and $200 ,000 per unit, 00:10:52.779 --> 00:10:56.279 and each robot can handle about 60 cows efficiently. 00:10:56.600 --> 00:11:00.460 Right. So a farm in that 400 -600 cow range might 00:11:00.460 --> 00:11:03.440 be looking at around 6 to 10 units. It's a substantial 00:11:03.440 --> 00:11:05.899 investment, sure, but manageable, especially 00:11:05.899 --> 00:11:08.620 given the payback. And when you look at a real 00:11:08.620 --> 00:11:10.740 -world case study, like the one the article highlights, 00:11:11.080 --> 00:11:13.919 the numbers become even more compelling. Yeah, 00:11:13.960 --> 00:11:16.620 tell us about that one. It meticulously analyzes 00:11:16.620 --> 00:11:19.899 a 420 -cow Wisconsin operation that made the 00:11:19.899 --> 00:11:22.720 switch to robotics. Their production costs dropped 00:11:22.720 --> 00:11:28.200 dramatically from $18 .50 down to $16 .80 per 00:11:28.200 --> 00:11:30.860 hundredweight. Okay, a $1 .70 difference. Right. 00:11:30.980 --> 00:11:33.860 That seemingly small difference translates to 00:11:33.860 --> 00:11:37.850 an annual savings of $95 ,000. Wow. $95 ,000 00:11:37.850 --> 00:11:41.470 a year. And here's the kicker. A remarkable payback 00:11:41.470 --> 00:11:44.389 period of approximately 22 months. 22 months. 00:11:44.470 --> 00:11:46.909 Less than two years to recoup that kind of investment. 00:11:47.049 --> 00:11:49.090 Exactly. Less than two years. Now compare that. 00:11:49.169 --> 00:11:51.049 Just compare that to the traditional alternative, 00:11:51.210 --> 00:11:52.970 which for many years was the only option, right? 00:11:53.029 --> 00:11:55.029 Scaling up. Right. Getting bigger. Going from, 00:11:55.090 --> 00:11:58.009 say, 300 to 800 cows. That kind of expansion 00:11:58.009 --> 00:12:01.370 needs a massive $1 .8 million in capital investment. 00:12:01.549 --> 00:12:05.220 Oof. Big number. Huge. It creates $22 ,000 in 00:12:05.220 --> 00:12:07.379 monthly debt service, and it demands a break 00:12:07.379 --> 00:12:10.600 -even milk price of $19 .20 per hundredweight 00:12:10.600 --> 00:12:13.279 against a current market average of, what, $21 00:12:13.279 --> 00:12:16.179 .50? Yeah, tight margins there. Yeah. The financial 00:12:16.179 --> 00:12:19.200 stress difference between those two paths, it's 00:12:19.200 --> 00:12:22.240 just dramatic. One producer grappling with a 00:12:22.240 --> 00:12:25.820 major expansion described it vividly. He said 00:12:25.820 --> 00:12:28.100 it was like hooking a boat anchor to your tractor. 00:12:28.259 --> 00:12:30.779 Uh -huh. That's a good one. You're moving, but 00:12:30.779 --> 00:12:33.220 good luck stopping or changing direction when 00:12:33.220 --> 00:12:36.159 market conditions shift or, you know, unforeseen 00:12:36.159 --> 00:12:39.000 challenges hit. It's a very, very heavy burden 00:12:39.000 --> 00:12:41.259 compared to the tech investment. That analogy 00:12:41.259 --> 00:12:43.360 really captures the feeling, doesn't it? Being 00:12:43.360 --> 00:12:46.279 locked into that high leverage, less agile strategy. 00:12:46.600 --> 00:12:49.059 And it's not just about milking robots, is it? 00:12:49.799 --> 00:12:52.710 Precision feeding. And these cloud -based management 00:12:52.710 --> 00:12:55.870 platforms are also transformative. They offer 00:12:55.870 --> 00:12:58.330 another layer of efficiency and control. Absolutely 00:12:58.330 --> 00:13:00.549 critical. Take cloud -based platforms like Ever 00:13:00.549 --> 00:13:03.350 .ag's Milt Plus system. These aren't just glorified 00:13:03.350 --> 00:13:05.629 spreadsheets. They're sophisticated tools. They 00:13:05.629 --> 00:13:08.830 let farms optimize feeding protocols, track individual 00:13:08.830 --> 00:13:11.590 cow performance with incredible granularity. 00:13:11.649 --> 00:13:14.090 Down to the single cow. Yeah. And adjust rations 00:13:14.090 --> 00:13:16.090 based on real -time component data coming back. 00:13:16.480 --> 00:13:18.940 And when we talk about real time, we mean it. 00:13:19.019 --> 00:13:22.159 These systems can capture over 90 load attributes. 00:13:22.519 --> 00:13:25.580 Think about that. 90? Like what? Everything from 00:13:25.580 --> 00:13:29.620 protein and fat content to specific mineral levels, 00:13:29.820 --> 00:13:32.480 moisture, even the particle size of the feed 00:13:32.480 --> 00:13:35.299 ingredients. This gives you real time visibility 00:13:35.299 --> 00:13:37.960 that allows for incredibly rapid adjustments. 00:13:38.360 --> 00:13:40.860 Okay. And why is that so critical? Because feed 00:13:40.860 --> 00:13:44.100 costs represent over 75 % of operating costs. 00:13:44.500 --> 00:13:47.720 75%. And over 50 % of total costs for milk production. 00:13:47.879 --> 00:13:50.659 Think about the leverage there. Smart feed management, 00:13:50.960 --> 00:13:53.100 enabled by this tech, can literally turn what's 00:13:53.100 --> 00:13:55.340 traditionally been this huge, unavoidable cost 00:13:55.340 --> 00:13:59.019 center into a profit center. By optimizing nutrient 00:13:59.019 --> 00:14:01.440 intake, reducing waste, ensuring every dollar 00:14:01.440 --> 00:14:03.600 spent on feed is working as hard as it possibly 00:14:03.600 --> 00:14:06.279 can. Turning feed costs into a profit center. 00:14:06.460 --> 00:14:08.840 That's a different way of thinking. It is, and 00:14:08.840 --> 00:14:11.480 the agility it provides. Think about reacting 00:14:11.480 --> 00:14:14.159 to things like muddy roads during heavy rains 00:14:14.159 --> 00:14:16.179 or delayed feed deliveries because of supply 00:14:16.179 --> 00:14:19.139 chain issues. This tech allows these operations 00:14:19.139 --> 00:14:22.519 to maintain production and quality when larger, 00:14:22.559 --> 00:14:24.860 more rigid systems might struggle to adapt quickly. 00:14:25.059 --> 00:14:27.879 It's a huge, often overlooked benefit. Okay, 00:14:27.940 --> 00:14:30.220 this raises an important question then. If the 00:14:30.220 --> 00:14:33.299 technology offers such clear, measurable ROI, 00:14:34.759 --> 00:14:37.820 Why is the instinct for so many still often just 00:14:37.820 --> 00:14:40.840 to add more cows? Is it just ingrained habit 00:14:40.840 --> 00:14:42.879 or? I think it's a mix. There's definitely a 00:14:42.879 --> 00:14:45.379 strong pull from decades of conditioning, you 00:14:45.379 --> 00:14:47.139 know, that bigger is better. It's hard to shake 00:14:47.139 --> 00:14:49.399 that. But the examples here, like that Wisconsin 00:14:49.399 --> 00:14:52.480 operation, they clearly show how a targeted tech 00:14:52.480 --> 00:14:54.639 investment can lead to faster payback, significantly 00:14:54.639 --> 00:14:56.960 less financial stress, and just more control 00:14:56.960 --> 00:15:00.059 than simply expanding herd size. It's about working 00:15:00.059 --> 00:15:02.059 smarter with the resources you already have, 00:15:02.240 --> 00:15:04.529 leveraging data to make those critical. often 00:15:04.529 --> 00:15:07.110 daily decisions. Right. It's the difference between 00:15:07.110 --> 00:15:09.389 what the article calls scaling smart versus simply 00:15:09.389 --> 00:15:12.830 scaling big. Scaling smart versus scaling big. 00:15:12.970 --> 00:15:15.470 I like that. Yeah. The former focuses on optimizing 00:15:15.470 --> 00:15:18.830 efficiency and profitability per cow. The latter 00:15:18.830 --> 00:15:21.690 often chases volume, sometimes at the expense 00:15:21.690 --> 00:15:25.029 of agility and maybe even overall margin. Being 00:15:25.029 --> 00:15:28.110 nimble, being able to adjust quickly, that's 00:15:28.110 --> 00:15:30.169 proving to be a powerful competitive advantage 00:15:30.169 --> 00:15:33.519 right now. Scaling smart. I really love that 00:15:33.519 --> 00:15:35.860 phrase. It truly captures the essence of this 00:15:35.860 --> 00:15:38.679 shift. It's not about avoiding growth, maybe, 00:15:38.779 --> 00:15:41.419 but about fundamentally rethinking how you grow 00:15:41.419 --> 00:15:43.899 and where you allocate your precious capital 00:15:43.899 --> 00:15:46.620 and resources. Exactly. The article also touches 00:15:46.620 --> 00:15:49.639 on a crucial point that we can't overlook. Successful 00:15:49.639 --> 00:15:51.519 tech adoption isn't just about buying the latest 00:15:51.519 --> 00:15:53.539 gadget, right? No, definitely not. It notes that 00:15:53.539 --> 00:15:56.179 nearly 30 % of technology projects can fail. 00:15:56.279 --> 00:15:59.659 30 %? Yeah, due to poor integration and inadequate 00:15:59.659 --> 00:16:01.759 staff training. So it's not just about acquiring 00:16:01.759 --> 00:16:04.299 the tech, it's about doing the homework. The 00:16:04.299 --> 00:16:06.799 infrastructure audits, investing in staff education, 00:16:07.080 --> 00:16:09.480 ensuring maybe a gradual rollout instead of just 00:16:09.480 --> 00:16:12.019 wholesale disruptive system changes to really 00:16:12.019 --> 00:16:14.039 make it stick and realize those promised returns. 00:16:14.740 --> 00:16:17.379 Precisely. That careful integration, the focus 00:16:17.379 --> 00:16:20.500 on matching the technology to your existing infrastructure 00:16:20.500 --> 00:16:23.289 and management systems. That's absolutely key. 00:16:23.509 --> 00:16:26.070 The well -designed robotic systems in free -flow 00:16:26.070 --> 00:16:28.669 barns, for instance, they average about 45 minutes 00:16:28.669 --> 00:16:31.990 of daily milking -related labor per robot. That's 00:16:31.990 --> 00:16:35.590 a massive efficiency gain. Huge. But poorly designed 00:16:35.590 --> 00:16:37.750 or integrated systems, they can actually require 00:16:37.750 --> 00:16:40.830 significantly more management time, negating 00:16:40.830 --> 00:16:43.529 a lot of the benefits. It really underlines that 00:16:43.529 --> 00:16:45.789 the technology itself is only part of the solution. 00:16:46.070 --> 00:16:48.490 The human element, the training, the strategic 00:16:48.490 --> 00:16:51.679 planning around implementation. They're just 00:16:51.679 --> 00:16:53.899 as vital for unlocking those impressive returns. 00:16:54.259 --> 00:16:57.059 It's an investment in your people and your processes 00:16:57.059 --> 00:16:59.240 as much as it is in the hardware itself. That 00:16:59.240 --> 00:17:01.659 makes a lot of sense. So with all this talk about 00:17:01.659 --> 00:17:04.039 technology enabling efficiency and better margins, 00:17:04.339 --> 00:17:07.160 what does this all mean for how dairy farms truly 00:17:07.160 --> 00:17:09.720 compete in the marketplace today? It feels like 00:17:09.720 --> 00:17:12.519 focus is shifting dramatically from just cure 00:17:12.519 --> 00:17:15.779 volume, you know, just filling the tank to optimizing 00:17:15.779 --> 00:17:17.859 for value and strategically navigating these 00:17:17.859 --> 00:17:20.220 big challenges like the ever -present labor crisis. 00:17:20.650 --> 00:17:23.410 Exactly. The game is changing. Let's talk about 00:17:23.410 --> 00:17:25.710 the component premium opportunity first, because 00:17:25.710 --> 00:17:28.289 for many, this is becoming, like you said, a 00:17:28.289 --> 00:17:31.210 hidden goldmine. The market is increasingly rewarding 00:17:31.210 --> 00:17:34.190 quality over sheer quantity. Current national 00:17:34.190 --> 00:17:36.809 data, for example, shows protein averaging around 00:17:36.809 --> 00:17:41.789 3 .32 % and butterfat hitting 4 .23%. And here's 00:17:41.789 --> 00:17:44.849 the kicker. Specialty processors are paying substantial 00:17:44.849 --> 00:17:48.029 premiums for those higher component levels. This 00:17:48.029 --> 00:17:50.539 isn't just a slight bump. it can be a significant 00:17:50.539 --> 00:17:53.200 addition to the milk check. Real money. Real 00:17:53.200 --> 00:17:55.799 money. The market dynamics are clearly demonstrating 00:17:55.799 --> 00:17:58.819 this shift. Recent trading sessions, for example, 00:17:58.960 --> 00:18:01.640 showed Class 4 milk prices commanding premiums 00:18:01.640 --> 00:18:04.940 of $1 .71 per hundredweight over Class 3. Wow, 00:18:05.119 --> 00:18:08.059 $1 .71 premium. Driven primarily by butterfat 00:18:08.059 --> 00:18:11.240 demand. Butter prices have surged to $2 .62 a 00:18:11.240 --> 00:18:14.180 pound. U .S. butter exports are up 41 % year 00:18:14.180 --> 00:18:16.619 over year. This creates incredibly strong incentives 00:18:16.619 --> 00:18:19.079 for farms that can precisely optimize their component 00:18:19.079 --> 00:18:21.380 production. And guess what enables this precision? 00:18:21.619 --> 00:18:25.589 Technology. Precision feeding. Those cloud platforms, 00:18:25.849 --> 00:18:28.670 they allow for real -time adjustments to feeding 00:18:28.670 --> 00:18:31.650 protocols, to rations, directly impacting those 00:18:31.650 --> 00:18:33.930 component levels. Right. That ability to capture 00:18:33.930 --> 00:18:36.670 over 90 load attributes and make rapid adjustments, 00:18:36.950 --> 00:18:39.650 it literally turns what was once just a production 00:18:39.650 --> 00:18:42.049 metric into a profit center. You're actively 00:18:42.049 --> 00:18:44.250 managing for components, not just hoping for 00:18:44.250 --> 00:18:46.549 them. That's a monumental shift from the old 00:18:46.549 --> 00:18:48.769 days, where it was simply about maximizing gallons 00:18:48.769 --> 00:18:50.880 in the tank. Totally different mindset. Now, 00:18:50.880 --> 00:18:53.359 let's pivot to another massive industry -wide 00:18:53.359 --> 00:18:56.640 challenge that kind of paradoxically provides 00:18:56.640 --> 00:18:58.880 a hidden advantage for these mid -sized operations, 00:18:59.359 --> 00:19:02.339 the labor crisis. Oh, yeah. This is a severe 00:19:02.339 --> 00:19:05.240 chronic problem across the entire dairy industry, 00:19:05.339 --> 00:19:07.700 and it shows absolutely no signs of letting up. 00:19:07.779 --> 00:19:09.960 It's tough out there. We know that 51 % of the 00:19:09.960 --> 00:19:12.319 U .S. dairy workforce comprises immigrant workers 00:19:12.319 --> 00:19:15.509 who produce 79 % of the nation's milk. And the 00:19:15.509 --> 00:19:18.349 policy uncertainty around this. It creates massive 00:19:18.349 --> 00:19:20.910 operational vulnerabilities and incredible stress 00:19:20.910 --> 00:19:23.150 for producers just trying to staff their farms. 00:19:23.349 --> 00:19:26.410 It's a very real, very pressing and deeply human 00:19:26.410 --> 00:19:29.609 issue. The current labor stats reveal the sheer 00:19:29.609 --> 00:19:32.470 scope of the challenge. The average turnover 00:19:32.470 --> 00:19:35.630 rate for U .S. dairies is a staggering 38 .8 00:19:35.630 --> 00:19:39.109 percent. 38 .8 percent turnover. Think about 00:19:39.109 --> 00:19:41.269 the constant churn, the loss of institutional 00:19:41.269 --> 00:19:44.210 knowledge, the retraining costs. It's exhausting. 00:19:44.680 --> 00:19:47.259 And high turnover isn't just an HR headache. 00:19:47.420 --> 00:19:50.240 It's directly correlated to decreased performance 00:19:50.240 --> 00:19:53.140 across the board. How so? We're talking 1 .8 00:19:53.140 --> 00:19:56.359 % decreases in milk production, 1 .7 % increases 00:19:56.359 --> 00:19:59.940 in calf loss, and 1 .6 % increases in cow death 00:19:59.940 --> 00:20:03.140 rates linked to high turnover. Wow. Direct impact 00:20:03.140 --> 00:20:05.359 on the animals in production. Absolutely. And 00:20:05.359 --> 00:20:08.039 agricultural labor costs. They exceeded $53 billion 00:20:08.039 --> 00:20:11.660 in 2025, with the USDA forecasting yet another 00:20:11.660 --> 00:20:15.299 3 .6 % increase just for next year. These numbers 00:20:15.299 --> 00:20:17.140 are just devastating for an industry already 00:20:17.140 --> 00:20:19.279 operating on tight margins. Devastating for a 00:20:19.279 --> 00:20:21.539 large operation trying to staff hundreds of employees 00:20:21.539 --> 00:20:23.859 across multiple shifts, often with complex management 00:20:23.859 --> 00:20:26.119 structures. Right. But this is precisely where 00:20:26.119 --> 00:20:28.299 mid -sized operations often find a structural 00:20:28.299 --> 00:20:30.079 advantage, especially when you combine it with 00:20:30.079 --> 00:20:32.700 technology. Robotic milking systems, for example. 00:20:33.210 --> 00:20:35.829 We mentioned they reduce daily milking management 00:20:35.829 --> 00:20:38.609 time from an average of 5 .2 hours down to just 00:20:38.609 --> 00:20:40.950 two hours. Huge difference. This isn't just a 00:20:40.950 --> 00:20:43.369 convenience or a small efficiency. It's a huge 00:20:43.369 --> 00:20:46.250 operational buffer. It helps maintain consistent 00:20:46.250 --> 00:20:49.269 protocols regardless of labor availability fluctuations. 00:20:49.809 --> 00:20:52.670 For family operations in particular, this technology 00:20:52.670 --> 00:20:55.569 allows them to effectively manage, say, 150, 00:20:55.950 --> 00:20:58.670 200 cows with the same workforce that previously 00:20:58.670 --> 00:21:02.170 maybe handled just 80, 100 cows. Right. So it 00:21:02.170 --> 00:21:04.400 allows them. to scale smartly without needing 00:21:04.400 --> 00:21:08.259 a huge influx of new labor. Exactly. That's efficiency 00:21:08.259 --> 00:21:10.400 that translates directly into resilience and 00:21:10.400 --> 00:21:12.839 survival when reliable help is increasingly hard 00:21:12.839 --> 00:21:15.019 to find. It allows families to keep their farms 00:21:15.019 --> 00:21:16.720 running without having to work themselves into 00:21:16.720 --> 00:21:19.539 the ground. And beyond just milking, smaller 00:21:19.539 --> 00:21:21.859 and mid -sized operations often demonstrate greater 00:21:21.859 --> 00:21:24.180 agility in adapting to other things, right, like 00:21:24.180 --> 00:21:27.140 seasonal challenges or evolving regulatory changes. 00:21:27.339 --> 00:21:29.460 Yeah. Definitely. Think about it. Installing 00:21:29.460 --> 00:21:31.720 group housing for calves, improving ventilation, 00:21:32.220 --> 00:21:36.359 providing outdoor access. These kinds of welfare 00:21:36.359 --> 00:21:39.319 improvements are operationally much simpler and 00:21:39.319 --> 00:21:42.720 less costly to implement on a 150 cow farm compared 00:21:42.720 --> 00:21:46.220 to trying to retrofit or build that infrastructure 00:21:46.220 --> 00:21:50.160 across a sprawling 10 ,000 cow operation spread 00:21:50.160 --> 00:21:52.319 over multiple counties. It's just a different 00:21:52.319 --> 00:21:55.079 scale of complexity. And those welfare improvements, 00:21:55.319 --> 00:21:57.680 which are often easier for smaller farms to implement 00:21:57.680 --> 00:22:00.519 without massive capital outlays, they increasingly 00:22:00.519 --> 00:22:02.819 translate into marketing differentiators, don't 00:22:02.819 --> 00:22:05.119 they? Premium pricing opportunities. Absolutely. 00:22:05.180 --> 00:22:07.799 We've seen this play out in Europe and even Canada. 00:22:07.859 --> 00:22:10.700 For instance, Canadian dairy farmers, with their 00:22:10.700 --> 00:22:13.000 pro -action program setting stricter animal welfare 00:22:13.000 --> 00:22:15.740 standards, they've shown that smaller operations 00:22:15.740 --> 00:22:18.480 often adapt faster. They turn compliance into 00:22:18.480 --> 00:22:20.559 a genuine marketing advantage with a story that 00:22:20.559 --> 00:22:23.049 really resonates with consumers. And that connects 00:22:23.049 --> 00:22:25.049 right back to that critical sustainability and 00:22:25.049 --> 00:22:27.410 consumer connection advantage, which is becoming, 00:22:27.450 --> 00:22:29.869 well, almost non -negotiable for many buyers 00:22:29.869 --> 00:22:32.190 these days. You got it. Consumers are increasingly 00:22:32.190 --> 00:22:35.430 demanding transparency, verifiable sustainability 00:22:35.430 --> 00:22:39.910 credentials. But here's the rub. Many mega processors 00:22:39.910 --> 00:22:42.849 struggle with their legacy ERP system. Those 00:22:42.849 --> 00:22:45.589 big old enterprise software platforms. Right. 00:22:45.589 --> 00:22:48.549 Often built for managing massive volumes. These 00:22:48.549 --> 00:22:51.289 systems are designed for sheer throughput. not 00:22:51.289 --> 00:22:54.170 necessarily granular traceability back to individual 00:22:54.170 --> 00:22:56.970 farms. They can track millions of gallons of 00:22:56.970 --> 00:22:59.769 milk, sure, but they can't easily identify the 00:22:59.769 --> 00:23:02.109 source farm for specific products in the dairy 00:23:02.109 --> 00:23:04.329 case. Which creates a huge opportunity then. 00:23:04.450 --> 00:23:06.930 Exactly. For midsize farms that can credibly 00:23:06.930 --> 00:23:09.690 demonstrate high animal welfare standards and 00:23:09.690 --> 00:23:12.269 genuine environmental stewardship, they can provide 00:23:12.269 --> 00:23:14.269 that traceability. That authenticity advantage. 00:23:14.990 --> 00:23:16.769 It's something that scale simply cannot buy or 00:23:16.769 --> 00:23:18.769 replicate. It's priceless. Yeah. Look at the 00:23:18.769 --> 00:23:21.069 example of Sheldon Creek Dairy in Ontario, highlighted 00:23:21.069 --> 00:23:23.730 in the article. Just 65 homebred Holsteins, their 00:23:23.730 --> 00:23:26.789 own on -farm processing for A2 milk. Tiny operation, 00:23:27.109 --> 00:23:30.690 relatively speaking. Tiny. But they command premium 00:23:30.690 --> 00:23:33.349 prices based purely on trust and transparency. 00:23:34.109 --> 00:23:37.349 Their customers literally drive past three grocery 00:23:37.349 --> 00:23:39.829 stores to buy their milk because they know the 00:23:39.829 --> 00:23:41.589 family. They understand their practices. They 00:23:41.589 --> 00:23:43.809 trust their methods. That's powerful. That is 00:23:43.809 --> 00:23:46.190 an asset you can't acquire or synthesize no matter 00:23:46.190 --> 00:23:48.690 how many thousands of cows you're milking. It's 00:23:48.690 --> 00:23:50.630 built on reputation and that direct connection. 00:23:50.990 --> 00:23:53.069 And companies are noticing this trend too, right? 00:23:53.130 --> 00:23:55.910 Developing tools. Yeah. Companies like Ever .ag 00:23:55.910 --> 00:23:57.970 are responding. They're launching sustainability 00:23:57.970 --> 00:24:00.690 platforms specifically for dairy operations, 00:24:00.990 --> 00:24:04.240 helping farms measure and manage. carbon footprints, 00:24:04.480 --> 00:24:07.299 providing the robust documentation needed to 00:24:07.299 --> 00:24:09.420 access these premium markets and supply chains. 00:24:09.660 --> 00:24:12.460 This makes it easier for smaller operations to 00:24:12.460 --> 00:24:14.680 implement and document sustainable practices 00:24:14.680 --> 00:24:17.519 compared to the massive multi -site operations. 00:24:18.019 --> 00:24:20.900 What's truly fascinating here is how all these 00:24:20.900 --> 00:24:23.619 different pieces, the tech, the labor solutions, 00:24:23.940 --> 00:24:26.559 the market premiums, the consumer demand, they 00:24:26.559 --> 00:24:28.880 seem to connect, don't they? They form this powerful, 00:24:28.960 --> 00:24:31.500 synergistic, competitive advantage for these 00:24:31.500 --> 00:24:34.289 mid -sized operations. It all fits together. 00:24:34.490 --> 00:24:36.410 It's not just about producing more milk. It's 00:24:36.410 --> 00:24:39.230 about producing more valuable milk. Milk with 00:24:39.230 --> 00:24:42.509 a story that consumers want to hear and frankly 00:24:42.509 --> 00:24:46.089 pay for. Yeah. The labor crisis, while daunting, 00:24:46.410 --> 00:24:48.950 actually provides this sort of perverse incentive 00:24:48.950 --> 00:24:51.869 for technology adoption. Right. Pushes them towards 00:24:51.869 --> 00:24:54.410 it. Which then reinforces component optimization 00:24:54.410 --> 00:24:57.410 and sustainability efforts. And ultimately, that 00:24:57.410 --> 00:24:59.769 ties right into consumer demand for authenticity, 00:25:00.109 --> 00:25:03.089 which, as we said, is much easier for a mid -sized 00:25:03.089 --> 00:25:05.170 operation to deliver on. It's like a virtuous 00:25:05.170 --> 00:25:08.170 cycle. Exactly. And European dairies have already 00:25:08.170 --> 00:25:11.000 shown us this path, right? shifting away from 00:25:11.000 --> 00:25:14.380 competing solely on volume to focusing on specialty 00:25:14.380 --> 00:25:17.680 products, value -added processing, and it's generated 00:25:17.680 --> 00:25:20.579 price premiums of over 15 % in recent years. 00:25:20.759 --> 00:25:23.099 It's a potential blueprint for success. That's 00:25:23.099 --> 00:25:25.039 a critical insight. It highlights how regional 00:25:25.039 --> 00:25:27.200 patterns often show these adaptation strategies 00:25:27.200 --> 00:25:30.119 focusing on efficiency and value in traditional 00:25:30.119 --> 00:25:33.000 dairy states rather than just raw, unchecked 00:25:33.000 --> 00:25:35.119 expansion. It's about winning on dollars per 00:25:35.119 --> 00:25:38.930 gallon versus simply gallons produced. It's about 00:25:38.930 --> 00:25:42.549 optimizing for profit per cow, not just total 00:25:42.549 --> 00:25:45.529 cows. It's a fundamental shift. It really is. 00:25:45.609 --> 00:25:48.710 And the nimbleness, the ability to tweak rations 00:25:48.710 --> 00:25:52.170 daily for muddy conditions or stressed cows or 00:25:52.170 --> 00:25:54.509 delayed feed deliveries, as the article mentioned, 00:25:54.670 --> 00:25:57.430 that allows these operations to maintain production 00:25:57.430 --> 00:26:00.230 and quality when rigid, larger systems might 00:26:00.230 --> 00:26:02.869 struggle to adapt. Right. This agility extends 00:26:02.869 --> 00:26:05.799 to seasonal advantages, too. Smaller facilities 00:26:05.799 --> 00:26:08.940 are easier to heat and monitor in winter. Flexible 00:26:08.940 --> 00:26:11.440 feed sourcing helps adapt to spring weather delays. 00:26:11.980 --> 00:26:14.500 Individual cow monitoring can help prevent heat 00:26:14.500 --> 00:26:17.589 stress in summer. Rapid herd management decisions 00:26:17.589 --> 00:26:19.490 can be made for breeding season in the fall. 00:26:19.670 --> 00:26:22.309 These aren't just minor perks. No, these are 00:26:22.309 --> 00:26:24.210 crucial elements of resilience that directly 00:26:24.210 --> 00:26:26.470 impact the bottom line and overall farm health. 00:26:26.569 --> 00:26:28.849 It adds up. Okay, so if we connect this to the 00:26:28.849 --> 00:26:30.849 bigger picture then, the article posits this 00:26:30.849 --> 00:26:33.430 fascinating vision for 2030, looking ahead to 00:26:33.430 --> 00:26:35.049 what the future of dairy might actually look 00:26:35.049 --> 00:26:36.490 like. Yeah, it gets really interesting here. 00:26:36.690 --> 00:26:39.529 It suggests two distinct business models are 00:26:39.529 --> 00:26:41.849 emerging in the dairy sector, operating almost 00:26:41.849 --> 00:26:44.829 like parallel universes. On one side, you have 00:26:44.829 --> 00:26:47.289 what the article calls the volume engine tier. 00:26:47.490 --> 00:26:49.670 Right. These are the mega dairies continuing 00:26:49.670 --> 00:26:51.890 their relentless focus on commodity production, 00:26:52.190 --> 00:26:55.150 competing globally on efficiency, on sheer scale, 00:26:55.329 --> 00:26:58.109 constantly trying to shave pennies off their 00:26:58.109 --> 00:27:01.109 cost per hundred weight. A game of pennies. Exactly. 00:27:01.410 --> 00:27:04.130 Their success will be measured primarily in those 00:27:04.130 --> 00:27:06.230 pennies, and they'll remain inherently vulnerable 00:27:06.230 --> 00:27:09.690 to. Market volatility, global commodity prices, 00:27:10.069 --> 00:27:12.390 constantly shifting regulatory changes. It's 00:27:12.390 --> 00:27:15.609 a high stakes, high volume game. And then on 00:27:15.609 --> 00:27:17.569 the other side, you have the value network here. 00:27:17.829 --> 00:27:20.470 This is where those technology enabled midsize 00:27:20.470 --> 00:27:23.210 operations really shine and differentiate themselves. 00:27:23.529 --> 00:27:27.829 Their focus is squarely on value creation. maximizing 00:27:27.829 --> 00:27:30.589 component optimization, building robust sustainability 00:27:30.589 --> 00:27:33.589 credentials, fostering those direct, meaningful 00:27:33.589 --> 00:27:36.369 customer relationships. These farms might produce 00:27:36.369 --> 00:27:38.930 less total volume of milk, but they're strategically 00:27:38.930 --> 00:27:41.289 positioned to capture disproportionate profitability 00:27:41.289 --> 00:27:44.289 through premium pricing and direct market access. 00:27:44.710 --> 00:27:46.849 And the research cited in the article suggests 00:27:46.849 --> 00:27:49.829 these value -focused operations could actually 00:27:49.829 --> 00:27:53.700 capture up to 30 % of industry profits. 30 % 00:27:53.700 --> 00:27:56.160 of the profit. Yeah, even while producing significantly 00:27:56.160 --> 00:27:59.559 less milk volume. The article uses a great line. 00:27:59.779 --> 00:28:02.839 It's not about the size of the pie slice, but 00:28:02.839 --> 00:28:05.619 which pie you're eating from. Huh, that's good. 00:28:05.740 --> 00:28:08.130 Which pie you're eating from. That's a powerful 00:28:08.130 --> 00:28:10.450 distinction. It means the metrics of success 00:28:10.450 --> 00:28:13.170 are fundamentally changing. We're shifting from 00:28:13.170 --> 00:28:15.829 simply measuring gallons produced to this more 00:28:15.829 --> 00:28:18.549 holistic view of dollars per gallon, optimizing 00:28:18.549 --> 00:28:21.170 for profit per cow instead of just focusing on 00:28:21.170 --> 00:28:23.230 total cow numbers. There's a significant mindset 00:28:23.230 --> 00:28:26.089 shift for an industry so long focused just on 00:28:26.089 --> 00:28:28.289 expansion, expansion, expansion. Huge shift. 00:28:28.680 --> 00:28:31.339 And the technology roadmap firmly supports this 00:28:31.339 --> 00:28:35.200 bifurcation. Emerging technologies like AI health 00:28:35.200 --> 00:28:37.779 monitoring, precision genetics, blockchain traceability, 00:28:38.000 --> 00:28:40.279 they're becoming increasingly accessible and 00:28:40.279 --> 00:28:42.920 affordable for mid -sized operations. They offer 00:28:42.920 --> 00:28:45.240 competitive advantages that scale alone simply 00:28:45.240 --> 00:28:48.279 cannot provide. These are the barn's brain investments, 00:28:48.460 --> 00:28:50.839 as the article suggests. The barn's brain. Not 00:28:50.839 --> 00:28:53.559 just its physical size. It's about investing 00:28:53.559 --> 00:28:56.609 in intelligence, not just acreage. This really 00:28:56.609 --> 00:28:58.650 forces us to ask an important question, doesn't 00:28:58.650 --> 00:29:01.660 it, for anyone listening. Are you competing in 00:29:01.660 --> 00:29:04.019 the right game for your operation? Absolutely. 00:29:04.079 --> 00:29:07.299 That's the core question. Because the current 00:29:07.299 --> 00:29:10.299 market conditions, volatile milk prices, severe 00:29:10.299 --> 00:29:13.279 labor shortages, increasing regulatory complexity, 00:29:13.660 --> 00:29:16.359 they actually favor operations that prioritize 00:29:16.359 --> 00:29:19.180 agility, efficiency, and value creation over 00:29:19.180 --> 00:29:21.900 pure scale. The farms that are truly thriving 00:29:21.900 --> 00:29:23.960 today are those that compete on value creation 00:29:23.960 --> 00:29:27.220 rather than just cost minimization alone. So 00:29:27.220 --> 00:29:30.799 while the death of Get Big or Get Out might be 00:29:30.799 --> 00:29:33.240 maybe premature is a full pronouncement. Yeah, 00:29:33.319 --> 00:29:35.700 maybe a bit strong. Its dominance is the only 00:29:35.700 --> 00:29:37.920 viable strategy is definitely ending. I think 00:29:37.920 --> 00:29:39.500 that's fair to say. The future is less about 00:29:39.500 --> 00:29:41.400 getting bigger and more about getting smarter. 00:29:41.599 --> 00:29:43.599 And we're seeing this market shift validated 00:29:43.599 --> 00:29:46.099 by significant industry investments too, aren't 00:29:46.099 --> 00:29:48.700 we? Yeah, that's a huge point. Over $8 billion 00:29:48.700 --> 00:29:52.339 in new dairy processing infrastructure is being 00:29:52.339 --> 00:29:54.519 specifically designed to handle high component 00:29:54.519 --> 00:29:58.190 operations. $8 billion. That kind of capital 00:29:58.190 --> 00:30:00.730 expenditure clearly signals the industry's shift 00:30:00.730 --> 00:30:03.349 toward quality over quantity. The processors 00:30:03.349 --> 00:30:05.930 are betting on this. That investment alone speaks 00:30:05.930 --> 00:30:08.410 volumes. It's a clear signal from the processing 00:30:08.410 --> 00:30:11.269 side that the market is actively valuing these 00:30:11.269 --> 00:30:14.009 component rich, often more traceable products. 00:30:14.130 --> 00:30:16.980 No doubt. And for farms looking to adapt, the 00:30:16.980 --> 00:30:19.900 importance of strategic planning and phase technology 00:30:19.900 --> 00:30:23.140 implementation can't be overstated. It's not 00:30:23.140 --> 00:30:26.200 about wholesale risky changes overnight. No, 00:30:26.279 --> 00:30:29.200 it's careful, validated steps. The article's 00:30:29.200 --> 00:30:31.920 conclusion really crystallizes this. For the 00:30:31.920 --> 00:30:34.640 thousands of mid -sized dairy operations facing 00:30:34.640 --> 00:30:37.900 that immense pressure to expand or exit, the 00:30:37.900 --> 00:30:41.079 evidence strongly suggests a third. incredibly 00:30:41.079 --> 00:30:43.579 compelling option. Evolve. Evolve. Yeah. It's 00:30:43.579 --> 00:30:45.559 about redefining success on your own terms. It 00:30:45.559 --> 00:30:47.980 absolutely is. The old questions like how big 00:30:47.980 --> 00:30:50.359 should I get are being replaced by more relevant, 00:30:50.400 --> 00:30:52.740 more strategic ones. Totally. Like how can I 00:30:52.740 --> 00:30:55.079 optimize genetic merit and component production 00:30:55.079 --> 00:30:57.259 with my current resources? Or what technologies 00:30:57.259 --> 00:30:58.940 will deliver the fastest return on investment 00:30:58.940 --> 00:31:01.559 and maybe improve my quality of life? Yeah. Or. 00:31:02.269 --> 00:31:04.690 How can I genuinely differentiate my products 00:31:04.690 --> 00:31:06.869 in premium markets? These are the questions that 00:31:06.869 --> 00:31:10.329 will define profitability, resilience, and honestly, 00:31:10.470 --> 00:31:13.009 overall farm satisfaction moving forward. It's 00:31:13.009 --> 00:31:15.130 about leveraging your unique strengths and making 00:31:15.130 --> 00:31:18.349 smart, beta -driven choices in what is actually 00:31:18.349 --> 00:31:21.309 a dynamic and opportunity -rich environment, 00:31:21.390 --> 00:31:24.190 despite the challenges. Okay. So after all that, 00:31:24.269 --> 00:31:26.710 for a farmer listening today, what are the most 00:31:26.710 --> 00:31:29.190 critical, actionable insights they should be 00:31:29.190 --> 00:31:30.940 thinking about right now? Let's boil it down. 00:31:31.059 --> 00:31:33.039 OK, yeah, let's break this down into a few clear 00:31:33.039 --> 00:31:35.079 steps you can take. First, you really need to 00:31:35.079 --> 00:31:37.579 calculate your labor costs for robotics. Get 00:31:37.579 --> 00:31:39.720 the calculator out. Seriously. This isn't just 00:31:39.720 --> 00:31:42.559 curiosity. It's about hard numbers. We know robotic 00:31:42.559 --> 00:31:45.400 milking systems slash hands on labor by 30, 40 00:31:45.400 --> 00:31:47.779 percent. That allows family operations to manage 00:31:47.779 --> 00:31:51.460 maybe 150, 200 cows with the same workforce that 00:31:51.460 --> 00:31:54.559 previously handled 8100. So grab your current 00:31:54.559 --> 00:31:57.339 labor costs per cow factor and wages, benefits, 00:31:57.539 --> 00:32:00.099 even the hidden costs of turnover. and compare 00:32:00.099 --> 00:32:03.200 that against the potential for, say, a 22 -month 00:32:03.200 --> 00:32:05.940 tech payback period, like in that Wisconsin case 00:32:05.940 --> 00:32:07.960 study we talked about. This analysis will give 00:32:07.960 --> 00:32:10.880 you a clear financial picture. It shows how reducing 00:32:10.880 --> 00:32:13.559 labor dependency translates into tangible financial 00:32:13.559 --> 00:32:17.259 returns and, frankly, a much better quality of 00:32:17.259 --> 00:32:19.740 life. Okay. Good first step. What's next? Second, 00:32:19.940 --> 00:32:22.779 definitely explore cloud -based platforms for 00:32:22.779 --> 00:32:25.880 management. Systems like Ever .ag's Milk Plus 00:32:25.880 --> 00:32:28.680 Average Anna, they aren't just for mega -dairies 00:32:28.680 --> 00:32:31.079 anymore. They can cut your operational costs 00:32:31.079 --> 00:32:34.500 by 5 -10 % potentially by automating everything 00:32:34.500 --> 00:32:37.839 from feed mixing and route optimization to producer 00:32:37.839 --> 00:32:41.019 payments and inventory management. 5 -10 % savings. 00:32:41.680 --> 00:32:43.839 That adds up. It really does. Sign up for demos 00:32:43.839 --> 00:32:46.220 this quarter. Especially while MILF prices are 00:32:46.220 --> 00:32:48.759 relatively stable, you know, around $21, $23 00:32:48.759 --> 00:32:51.460 per hundredweight, this is the perfect time to 00:32:51.460 --> 00:32:53.519 evaluate these systems without the pressure of 00:32:53.519 --> 00:32:55.940 crazy market volatility. Understanding these 00:32:55.940 --> 00:32:58.140 efficiency gains now will position you for future 00:32:58.140 --> 00:33:00.299 success and help you fine -tune your operations 00:33:00.299 --> 00:33:02.640 down to the last detail, allowing for those rapid 00:33:02.640 --> 00:33:04.759 adjustments that save real money. Makes sense. 00:33:04.960 --> 00:33:07.400 Evaluate when things are calm. What else? Number 00:33:07.400 --> 00:33:10.809 three, optimize for component premiums. This 00:33:10.809 --> 00:33:13.690 is truly your hitting goldmine. With protein 00:33:13.690 --> 00:33:17.269 averaging 3 .32 % and butterfat hitting 4 .23 00:33:17.269 --> 00:33:20.829 % nationally, cheese plants, specialty processors, 00:33:21.170 --> 00:33:23.450 they are actively paying substantial premiums 00:33:23.450 --> 00:33:25.230 for quality. Don't leave money on the table. 00:33:25.430 --> 00:33:27.529 Exactly. Don't just assume your milk is good 00:33:27.529 --> 00:33:30.400 enough. Audit your current component levels with 00:33:30.400 --> 00:33:33.359 your milk processor. Then work with your nutritionist. 00:33:33.380 --> 00:33:35.680 Make immediate data -driven adjustments to your 00:33:35.680 --> 00:33:38.660 feeding protocols to boost those levels. Even 00:33:38.660 --> 00:33:40.940 a small increase in butterfat or protein can 00:33:40.940 --> 00:33:43.460 translate into significant additional dollars 00:33:43.460 --> 00:33:45.960 per hundredweight, directly impacting your bottom 00:33:45.960 --> 00:33:48.380 line without adding a single cow. Great point. 00:33:48.539 --> 00:33:50.880 Okay, number four. Fourth, look at how you can 00:33:50.880 --> 00:33:53.289 leverage regulatory changes for marketing. This 00:33:53.289 --> 00:33:56.089 is a huge opportunity often overlooked. New animal 00:33:56.089 --> 00:33:58.369 welfare standards, for instance. They're often 00:33:58.369 --> 00:34:00.589 much easier and more cost effective to implement 00:34:00.589 --> 00:34:04.509 on a 150 cow farm than on a 10 ,000 cow operation. 00:34:04.809 --> 00:34:07.569 Turn a requirement into an advantage. Precisely. 00:34:07.789 --> 00:34:10.449 Instead of viewing compliance as just a cost, 00:34:10.630 --> 00:34:13.380 turn it into a marketing advantage. Credibly 00:34:13.380 --> 00:34:15.900 demonstrate your high standards, whether it's 00:34:15.900 --> 00:34:18.420 calf housing, cow comfort, environmental stewardship, 00:34:18.739 --> 00:34:20.880 demonstrate it to premium buyers and specialty 00:34:20.880 --> 00:34:24.199 processors. Authenticity and traceability are 00:34:24.199 --> 00:34:26.059 what consumers are increasingly willing to pay 00:34:26.059 --> 00:34:28.739 for. And your mid -sized operation has a natural 00:34:28.739 --> 00:34:31.099 advantage in telling that story. OK, and the 00:34:31.099 --> 00:34:33.579 final key takeaway. Finally, and this is maybe 00:34:33.579 --> 00:34:36.070 the most important mindset shift. Prioritize 00:34:36.070 --> 00:34:38.889 technology ROI over blind expansion. The old 00:34:38.889 --> 00:34:41.170 playbook of just add more cows. Yeah, it might 00:34:41.170 --> 00:34:43.469 deliver eight, 12 % returns over seven, 10 years, 00:34:43.610 --> 00:34:46.289 maybe. But precision tech investments right now 00:34:46.289 --> 00:34:49.650 are hitting 200, 300 % ROI with paybacks under 00:34:49.650 --> 00:34:52.590 two years in these 2025 market conditions. Two 00:34:52.590 --> 00:34:55.190 to 300 % ROI. Yeah. That's incredible. It's a 00:34:55.190 --> 00:34:57.670 different league. Your next big investment should 00:34:57.670 --> 00:35:00.110 probably be in your barn's brain. It's data, 00:35:00.210 --> 00:35:02.809 it's automation, it's intelligence, not just 00:35:02.809 --> 00:35:05.320 its physical size. It's about getting smarter, 00:35:05.400 --> 00:35:08.360 not just bigger, to thrive and ensure the long 00:35:08.360 --> 00:35:10.679 -term resilience and profitability of your dairy 00:35:10.679 --> 00:35:13.880 in this evolving landscape. The evidence is clear. 00:35:14.000 --> 00:35:16.480 For thousands of mid -sized dairy operations, 00:35:16.800 --> 00:35:19.699 that third option is to evolve. Evolve. Great 00:35:19.699 --> 00:35:22.099 point. Thanks. And that's all the time we have 00:35:22.099 --> 00:35:24.659 for today's Deem Dive. For more articles, research, 00:35:24.760 --> 00:35:26.280 and insights that matter to dairy producers, 00:35:26.500 --> 00:35:31.039 be sure to visit www .thebullvine .com. Don't 00:35:31.039 --> 00:35:32.820 forget to subscribe wherever you get your podcasts 00:35:32.820 --> 00:35:35.159 so you don't miss any of our future deep dives. 00:35:35.239 --> 00:35:37.480 Thanks for listening. Thanks for tuning in to 00:35:37.480 --> 00:35:40.039 the Bullvine Podcast. If you enjoyed today's 00:35:40.039 --> 00:35:42.360 episode, please subscribe and share it with your 00:35:42.360 --> 00:35:45.360 fellow farmers. Got questions or ideas for future 00:35:45.360 --> 00:35:48.699 episodes? Send them our way. Until next time, 00:35:48.760 --> 00:35:51.519 keep innovating, keep thriving, and keep the 00:35:51.519 --> 00:36:03.380 dairy spirit alive. Andrew, signing off. Thank 00:36:03.380 --> 00:36:03.659 you.