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 --> 00:01:01.820 we're sparking Welcome back to the Bullvine Podcast, 00:01:01.960 --> 00:01:04.500 where we cut through dairy industry noise to 00:01:04.500 --> 00:01:06.439 get you the insights that actually matter for 00:01:06.439 --> 00:01:08.819 your operation. We are here to bring you the 00:01:08.819 --> 00:01:11.680 no BS analysis that dairy farmers rely on. And 00:01:11.680 --> 00:01:14.299 today we're diving deep into a topic that is, 00:01:14.299 --> 00:01:17.060 well, it's dominating every trade show, every 00:01:17.060 --> 00:01:19.799 lending conversation, and honestly, every farm 00:01:19.799 --> 00:01:22.260 dinner table. The robot revolution. Exactly. 00:01:22.379 --> 00:01:26.980 And this one's got layers and some truly, I mean, 00:01:27.000 --> 00:01:29.650 stunning surprises. that are going to make farmers 00:01:29.650 --> 00:01:32.709 really rethink how they've been approaching automation 00:01:32.709 --> 00:01:35.650 investment. Absolutely. The hype around robotic 00:01:35.650 --> 00:01:38.829 milking systems is massive. And, you know, for 00:01:38.829 --> 00:01:40.609 good reason. Sure. When we look at the global 00:01:40.609 --> 00:01:43.900 market. The investment trajectory is just staggering. 00:01:44.120 --> 00:01:46.659 We saw the market hit about, what, $3 .39 billion 00:01:46.659 --> 00:01:49.760 recently? And it's projected to explode to $19 00:01:49.760 --> 00:01:53.219 .5 billion by 2035. That's not just growth. No, 00:01:53.280 --> 00:01:55.140 that's the industry betting its entire future 00:01:55.140 --> 00:01:57.859 on automation. It is. Big money, big hype, but 00:01:57.859 --> 00:01:59.480 this is the deep dive, and we don't look at the 00:01:59.480 --> 00:02:01.780 marketing, we look at the financials. And that's 00:02:01.780 --> 00:02:03.900 where the core controversy is, the thing we have 00:02:03.900 --> 00:02:06.599 to address right up front. It's this massive, 00:02:06.680 --> 00:02:10.150 almost unbelievable disconnect. That exists when 00:02:10.150 --> 00:02:12.750 you analyze the real data on farm performance. 00:02:12.990 --> 00:02:15.289 Exactly. We have two numbers that simply do not 00:02:15.289 --> 00:02:18.009 line up. Here is the first number. When you ask 00:02:18.009 --> 00:02:20.289 farmers who have installed robots if they would 00:02:20.289 --> 00:02:23.129 recommend them to a friend. A whopping 86 % say 00:02:23.129 --> 00:02:27.789 yes. 86%. That's a phenomenal, near -universal 00:02:27.789 --> 00:02:30.449 satisfaction rate. You'd assume that means everyone 00:02:30.449 --> 00:02:32.509 is making money hand over fist. You'd think so. 00:02:32.889 --> 00:02:35.129 But here is the second number, the one that makes 00:02:35.129 --> 00:02:38.349 that 86 % figure almost meaningless from a business 00:02:38.349 --> 00:02:40.370 perspective. This is the one that stops you in 00:02:40.370 --> 00:02:42.349 your tracks. Research from institutions like 00:02:42.349 --> 00:02:44.449 the University of Minnesota Extension this year 00:02:44.449 --> 00:02:47.849 found that only about 28 % of those highly satisfied 00:02:47.849 --> 00:02:50.449 operations are actually achieving what they need. 00:02:50.550 --> 00:02:52.770 The production increases and cost savings needed 00:02:52.770 --> 00:02:55.909 for clear, sustainable profitability. Only 28%. 00:02:55.909 --> 00:02:58.030 Wait, wait, let's let that sink in for a moment. 00:02:58.150 --> 00:03:01.099 You've got this huge pool of farmers. You know, 00:03:01.099 --> 00:03:03.360 four out of five. Recommending a system that, 00:03:03.439 --> 00:03:06.419 financially speaking, is not working for most 00:03:06.419 --> 00:03:11.099 of them. That 86 % versus 28 % gap. tells us 00:03:11.099 --> 00:03:13.199 everything about the current state of dairy investment. 00:03:13.379 --> 00:03:15.560 We have to figure out who is in that successful 00:03:15.560 --> 00:03:19.259 28%. And more importantly, why the other 72 % 00:03:19.259 --> 00:03:22.280 are recommending what is essentially a financial 00:03:22.280 --> 00:03:24.639 liability. And what's fascinating here is that 00:03:24.639 --> 00:03:26.900 the data challenges the conventional wisdom about 00:03:26.900 --> 00:03:29.539 herd size and scale. Right. Everyone assumes 00:03:29.539 --> 00:03:32.060 robots work great for small farms and for the 00:03:32.060 --> 00:03:34.319 big scale players. But we are going to hit on 00:03:34.319 --> 00:03:36.080 something we're calling the missing metal. a 00:03:36.080 --> 00:03:38.919 specific range of herd sizes that actually loses 00:03:38.919 --> 00:03:41.520 money with automation. Contrary to what every 00:03:41.520 --> 00:03:43.979 dealer will pitch you, this is the danger zone. 00:03:44.240 --> 00:03:46.020 Our mission today is simple. We're drilling down 00:03:46.020 --> 00:03:47.620 into research from the University of Calgary, 00:03:47.680 --> 00:03:50.180 Minnesota, Gulf, Teagasc in Ireland, and other 00:03:50.180 --> 00:03:52.340 key sources. We want to determine who robots 00:03:52.340 --> 00:03:55.900 are really working for. And critically, the three 00:03:55.900 --> 00:03:59.000 non -negotiable requirements that, if you don't 00:03:59.000 --> 00:04:01.319 meet them before installation, mean you should 00:04:01.319 --> 00:04:04.099 wait. We want to give you the shortcut to being 00:04:04.099 --> 00:04:06.400 well -informed before you sign that seven -figure 00:04:06.400 --> 00:04:08.900 check and commit to this technology. Let's do 00:04:08.900 --> 00:04:11.360 it. Let's jump into segment one, the satisfaction 00:04:11.360 --> 00:04:13.840 trap and production reality. You're the farmer 00:04:13.840 --> 00:04:15.819 in this conversation. You've seen the long hours. 00:04:15.960 --> 00:04:18.459 Why is that satisfaction rate so high even when 00:04:18.459 --> 00:04:20.829 the profits are so low? It's absolutely genuine, 00:04:20.910 --> 00:04:24.050 and you really can't diminish the quality of 00:04:24.050 --> 00:04:26.389 life improvement. It's real. It's very real. 00:04:26.470 --> 00:04:29.350 For years, dairy farming has been defined by 00:04:29.350 --> 00:04:32.370 the tyranny of the clock, that 4 a .m. and 4 00:04:32.370 --> 00:04:35.160 p .m. hard deck. You mentioned that anecdote 00:04:35.160 --> 00:04:38.019 about the Prince Edward Island farmer who told 00:04:38.019 --> 00:04:39.899 a researcher, I haven't missed one of my kids' 00:04:40.000 --> 00:04:42.720 soccer games or school plays since we installed 00:04:42.720 --> 00:04:45.019 the robots. That is profound. I mean, that is 00:04:45.019 --> 00:04:47.379 life -changing. It reclaims the farmer's time. 00:04:47.579 --> 00:04:50.040 Yeah. And the labor doesn't go away, not really, 00:04:50.139 --> 00:04:52.600 but the nature of the labor changes. It becomes 00:04:52.600 --> 00:04:55.439 flexible, more analytical, more data -driven, 00:04:55.519 --> 00:04:58.560 and crucially, less physically demanding. You're 00:04:58.560 --> 00:05:00.800 not spending hours on a concrete floor bending 00:05:00.800 --> 00:05:04.800 over anymore. Precisely. So that 86 % recommendation 00:05:04.800 --> 00:05:07.379 rate, it's a lifestyle recommendation. It's not 00:05:07.379 --> 00:05:10.519 a financial one. But as business owners, we have 00:05:10.519 --> 00:05:13.579 to look past the personal benefits to the cold, 00:05:13.660 --> 00:05:16.680 hard production reality check. You have to. Because 00:05:16.680 --> 00:05:19.199 if you spend seven figures and don't make more 00:05:19.199 --> 00:05:22.420 milk, you bought a very expensive way to keep 00:05:22.420 --> 00:05:26.439 production flat or worse. See it decline. And 00:05:26.439 --> 00:05:28.660 that's the brutal truth revealed in the University 00:05:28.660 --> 00:05:31.899 of Calgary data, which followed 217 Canadian 00:05:31.899 --> 00:05:34.759 producers through their transition. They looked 00:05:34.759 --> 00:05:36.899 at production shifts and the results are not 00:05:36.899 --> 00:05:39.160 just sobering. They should be flashing red lights 00:05:39.160 --> 00:05:41.660 for anyone considering this move. Let's look 00:05:41.660 --> 00:05:43.439 at those numbers again and we need to translate 00:05:43.439 --> 00:05:45.360 them into what this actually means on the farm. 00:05:45.480 --> 00:05:48.560 Right. Only 58 % report any increase in production 00:05:48.560 --> 00:05:51.180 at all. And of those, a lot of them are seeing 00:05:51.180 --> 00:05:53.399 just minimal gains. We're talking two to three 00:05:53.399 --> 00:05:55.899 pounds per cow per day. Wait, hold on. So if 00:05:55.899 --> 00:05:58.040 you're the one getting a 10 -pound gain, you're 00:05:58.040 --> 00:06:00.160 the outlier. You're the poster child. You're 00:06:00.160 --> 00:06:02.639 on the front of the brochure. But if you're seeing 00:06:02.639 --> 00:06:05.660 just two or three pounds, you're barely moving 00:06:05.660 --> 00:06:08.279 the needle compared to the massive capital investment 00:06:08.279 --> 00:06:10.680 you just made. That's a gain you could potentially 00:06:10.680 --> 00:06:12.920 achieve with a tweak to your nutrition program 00:06:12.920 --> 00:06:16.170 or just better cow comfort. For a fraction of 00:06:16.170 --> 00:06:17.810 the cost. Exactly. And what about the other? 00:06:17.930 --> 00:06:21.470 Well, almost half of the farms studied. 34 % 00:06:21.470 --> 00:06:24.170 maintained flat production levels despite the 00:06:24.170 --> 00:06:26.949 investment. Think about that. A third of farms 00:06:26.949 --> 00:06:30.370 spent millions of dollars, absorbed massive financing 00:06:30.370 --> 00:06:33.569 costs, and got the exact same volume of milk 00:06:33.569 --> 00:06:36.209 out the door. And the most concerning statistic, 00:06:36.389 --> 00:06:38.850 the one that really gets me, is the 18 % who 00:06:38.850 --> 00:06:41.370 actually saw production go down. That group. 00:06:41.959 --> 00:06:45.120 is fundamentally irretrievably losing money compared 00:06:45.120 --> 00:06:48.060 to their old system. They bought a labor solution 00:06:48.060 --> 00:06:50.560 that turned into a financial and a production 00:06:50.560 --> 00:06:52.980 disaster. And this is where the University of 00:06:52.980 --> 00:06:55.660 Minnesota Extension data becomes the non -negotiable 00:06:55.660 --> 00:06:58.740 financial benchmark. This research analyzed the 00:06:58.740 --> 00:07:01.980 complete cost structure of robotic milking depreciation 00:07:01.980 --> 00:07:04.620 maintenance those energy bills will get to. And 00:07:04.620 --> 00:07:07.259 they concluded that you need a minimum gain of 00:07:07.259 --> 00:07:09.759 at least five pounds per day per cow to overcome 00:07:09.759 --> 00:07:12.540 the technology's cost structure and achieve clear, 00:07:12.660 --> 00:07:17.160 measurable profitability. Five pounds, not two, 00:07:17.259 --> 00:07:19.899 not three. That's a huge difference. Let's do 00:07:19.899 --> 00:07:21.939 the math on that. Why is two pounds not enough? 00:07:22.160 --> 00:07:25.060 Because the capital cost is just immense. Let's 00:07:25.060 --> 00:07:27.879 assume you're running a moderate 60 cow per robot 00:07:27.879 --> 00:07:32.540 system. If you spend $300 ,000 per stall and 00:07:32.540 --> 00:07:35.100 you finance that over seven years. The interest 00:07:35.100 --> 00:07:37.639 and principal alone are crushing. Right. And 00:07:37.639 --> 00:07:39.819 then you add to that the operational cost shock 00:07:39.819 --> 00:07:42.629 we know is coming. which can run easily $40 ,000 00:07:42.629 --> 00:07:45.790 to $60 ,000 higher per robot annually than conventional 00:07:45.790 --> 00:07:48.670 milking. A two -pound gain simply doesn't generate 00:07:48.670 --> 00:07:51.009 enough new revenue to cover those fixed costs. 00:07:51.209 --> 00:07:52.910 Let alone the elevated running costs. Not even 00:07:52.910 --> 00:07:55.870 close. So if 58 % of farms see some increase, 00:07:55.970 --> 00:07:57.730 but most of those are stuck in that two, three 00:07:57.730 --> 00:07:59.610 -pound range. Then you have a massive chunk of 00:07:59.610 --> 00:08:02.810 the 86 % highly satisfied users who are stuck 00:08:02.810 --> 00:08:04.610 in what researchers are calling the marginal 00:08:04.610 --> 00:08:07.110 profitability zone. This is the financial quicksand. 00:08:07.370 --> 00:08:09.310 That's a great way to put it. You're technically 00:08:09.310 --> 00:08:11.870 making some profit over feed costs, but that 00:08:11.870 --> 00:08:14.410 marginal gain is so small that your business 00:08:14.410 --> 00:08:17.550 is entirely reliant on two things. Operational 00:08:17.550 --> 00:08:20.769 flawlessness, meaning zero major breakdowns. 00:08:20.769 --> 00:08:23.949 And milk prices staying perfect. The moment you 00:08:23.949 --> 00:08:26.189 have a six figure maintenance bill or a drop 00:08:26.189 --> 00:08:30.110 in commodity prices, that marginal profit evaporates 00:08:30.110 --> 00:08:33.590 instantly. So you've financed a seven figure 00:08:33.590 --> 00:08:36.649 machine. only to put your operation in the highest 00:08:36.649 --> 00:08:39.750 risk financial position possible. And the cost 00:08:39.750 --> 00:08:42.110 of waiting for that marginal profitability to 00:08:42.110 --> 00:08:44.710 turn into clear success is what chills me. If 00:08:44.710 --> 00:08:47.110 your production gains are minimal or non -existent, 00:08:47.110 --> 00:08:49.429 the break -even point gets pushed out so far. 00:08:49.610 --> 00:08:51.789 It becomes completely unsustainable and risky. 00:08:51.990 --> 00:08:54.090 Let's look at those break -even timelines again, 00:08:54.169 --> 00:08:55.909 because they are the numbers that should define 00:08:55.909 --> 00:08:58.049 your decision. If you only achieve that minimal 00:08:58.049 --> 00:09:01.029 two -pound increase per day. The robot must reliably 00:09:01.029 --> 00:09:03.669 operate longer than 10 years to be more profitable 00:09:03.669 --> 00:09:05.669 than the efficient parlor you replaced. 10 years. 00:09:05.850 --> 00:09:08.370 And I have to challenge that. In the technology 00:09:08.370 --> 00:09:12.250 world, a 10 -year lifespan is ambitious for a 00:09:12.250 --> 00:09:15.529 complex, heavy -use machine. Does the technology 00:09:15.529 --> 00:09:19.450 even last 10 years without a major, multi -hundred 00:09:19.450 --> 00:09:21.669 -thousand -dollar overhaul? That's the gamble. 00:09:21.970 --> 00:09:25.240 If you hit year 8... and need a massive reinvestment 00:09:25.240 --> 00:09:27.820 you've just accelerated your depreciation risk 00:09:27.820 --> 00:09:30.179 and you're still not profitable compared to the 00:09:30.179 --> 00:09:33.679 old system you are gambling on two things perfect 00:09:33.679 --> 00:09:37.100 maintenance longevity and technology not making 00:09:37.100 --> 00:09:39.960 your current machine obsolete in five years and 00:09:39.960 --> 00:09:43.279 it gets worse if you're in that 34 the flat production 00:09:43.279 --> 00:09:45.690 group The numbers from the University of Gulf 00:09:45.690 --> 00:09:49.169 suggest your robots need 13 to 17 years just 00:09:49.169 --> 00:09:50.990 to break even against the capital investment. 00:09:51.190 --> 00:09:53.710 13 to 17 years. That's the projected maximum 00:09:53.710 --> 00:09:56.789 lifespan of the machine or more. At that point, 00:09:56.809 --> 00:09:58.529 you haven't bought a profit generating tool. 00:09:58.610 --> 00:10:00.629 No, you've bought a very expensive lifestyle 00:10:00.629 --> 00:10:03.110 improvement that forces you to constantly chase 00:10:03.110 --> 00:10:06.409 debt. And if production decreased at 18 % group, 00:10:06.610 --> 00:10:08.549 you're never going to see the profit compared 00:10:08.549 --> 00:10:10.850 to the old system. This is the definition of 00:10:10.850 --> 00:10:13.539 the satisfaction trap. The lifestyle improvement 00:10:13.539 --> 00:10:18.159 masks the long, painful crawl toward a non -existent 00:10:18.159 --> 00:10:20.279 return on investment. And it creates a psychological 00:10:20.279 --> 00:10:22.700 burden. Yeah. You're trading the physical pain 00:10:22.700 --> 00:10:25.240 of morning milking for the constant financial 00:10:25.240 --> 00:10:28.080 anxiety of knowing you're in that marginal profitability 00:10:28.080 --> 00:10:30.539 zone, just desperately hoping nothing breaks. 00:10:30.820 --> 00:10:33.200 That leads us perfectly into segment two. Because 00:10:33.200 --> 00:10:35.220 the financial blind side isn't just about milk 00:10:35.220 --> 00:10:38.120 output. It's about the staggering operational 00:10:38.120 --> 00:10:41.200 costs that dealers conveniently forget to mention 00:10:41.200 --> 00:10:43.919 in their projections. Oh, the cost shock is the 00:10:43.919 --> 00:10:46.240 hidden killer. We have heard repeatedly from 00:10:46.240 --> 00:10:48.080 farmers that they discover their operational 00:10:48.080 --> 00:10:51.679 costs are running 300 % to 400 % higher than 00:10:51.679 --> 00:10:54.399 those glossy three -page dealer projections suggest. 00:10:54.700 --> 00:10:56.440 And this often hits in the first year or two. 00:10:56.730 --> 00:10:58.809 The first 12 to 24 months, for sure. So let's 00:10:58.809 --> 00:11:00.590 stop talking in percentages. We need to detail 00:11:00.590 --> 00:11:02.389 what those hidden costs are, because this is 00:11:02.389 --> 00:11:03.990 where the marginal profit from that two pound 00:11:03.990 --> 00:11:06.730 gain gets instantly wiped out. Maintenance is 00:11:06.730 --> 00:11:09.110 the biggest culprit. Dealers might project, what, 00:11:09.250 --> 00:11:12.649 $5 ,000 to $9 ,000 annually for service, cleaning 00:11:12.649 --> 00:11:15.629 chemicals, parts replacement. The basics. But 00:11:15.629 --> 00:11:19.250 these are complex 21st century machines. I've 00:11:19.250 --> 00:11:21.889 spoken to dairy operators who showed me maintenance 00:11:21.889 --> 00:11:24.789 invoices that hit six figures in year one. Six 00:11:24.789 --> 00:11:28.269 figures? In year one. Not for major catastrophic 00:11:28.269 --> 00:11:30.950 failure, but for the accumulation of standard 00:11:30.950 --> 00:11:34.940 breakdowns. A laser alignment failing. specialized 00:11:34.940 --> 00:11:38.080 robotic arms needing expensive parts, sensors 00:11:38.080 --> 00:11:41.139 going out, vacuum line fatigue. And that kind 00:11:41.139 --> 00:11:43.700 of repair requires specialized technicians, often 00:11:43.700 --> 00:11:46.159 flown in, which compounds the cost dramatically. 00:11:46.440 --> 00:11:48.000 You can't just call up the local mechanic and 00:11:48.000 --> 00:11:49.820 have him patch it up before afternoon milking. 00:11:49.960 --> 00:11:53.379 No. Exactly. You are at the mercy of the manufacturer's 00:11:53.379 --> 00:11:56.080 regional service capacity. The complexity of 00:11:56.080 --> 00:11:58.639 the machine means every minor issue has a high 00:11:58.639 --> 00:12:01.500 -cost solution. And then you layer on the utility 00:12:01.500 --> 00:12:03.779 bill. The electricity. Electricity consumption 00:12:03.779 --> 00:12:06.340 is massive, particularly for the cooling systems 00:12:06.340 --> 00:12:09.240 and the constant cleaning cycles. TGASC, the 00:12:09.240 --> 00:12:11.840 Agriculture and Food Authority in Ireland, documented 00:12:11.840 --> 00:12:14.100 that some operations saw their electricity costs 00:12:14.100 --> 00:12:16.120 nearly three times higher than their comparable 00:12:16.120 --> 00:12:18.659 conventional systems. Nearly three times higher. 00:12:19.120 --> 00:12:22.179 So if you were paying, say, $3 ,000 a month for 00:12:22.179 --> 00:12:24.799 utilities before, you are suddenly paying $9 00:12:24.799 --> 00:12:28.879 ,000 a month. That's a $72 ,000 annual difference 00:12:28.879 --> 00:12:31.539 that immediately swallows any marginal profit 00:12:31.539 --> 00:12:34.220 you got from that two pound bump. It ties right 00:12:34.220 --> 00:12:36.019 back to that five -pound threshold, doesn't it? 00:12:36.100 --> 00:12:39.220 Absolutely. If you gain five pounds, you might 00:12:39.220 --> 00:12:42.200 be able to absorb the $70 ,000 higher annual 00:12:42.200 --> 00:12:45.159 operational cost. But if you only gain two pounds, 00:12:45.360 --> 00:12:47.600 you just financed a loss leader that gave you 00:12:47.600 --> 00:12:49.799 back a few hours of labor flexibility at the 00:12:49.799 --> 00:12:51.980 cost of crushing your cash flow. Okay, here's 00:12:51.980 --> 00:12:53.919 where it gets really interesting and challenges 00:12:53.919 --> 00:12:56.240 everything we thought we knew about scale. We 00:12:56.240 --> 00:12:58.860 have to address the scale trap. The missing middle. 00:12:59.179 --> 00:13:01.600 This comes from surprising 2020 research published 00:13:01.600 --> 00:13:04.259 in Turkey, which studied robot economics across 00:13:04.259 --> 00:13:06.860 various herd sizes and found that the profitability 00:13:06.860 --> 00:13:09.100 curve is not a straightforward upward slope. 00:13:09.259 --> 00:13:11.360 No, this research blew up the conventional assumption 00:13:11.360 --> 00:13:13.259 that if you can afford a robot, it will help 00:13:13.259 --> 00:13:15.480 you scale up. They identified three distinct 00:13:15.480 --> 00:13:18.179 groups based on cost per unit of milk produced. 00:13:18.480 --> 00:13:21.320 Let's start with group one, the small operations, 00:13:21.620 --> 00:13:25.500 10 to 60 cows, often using just a single robot. 00:13:25.950 --> 00:13:28.210 They saw massive profit increases. We're talking 00:13:28.210 --> 00:13:33.649 355%. 355 % why? Because they maximized the labor 00:13:33.649 --> 00:13:36.990 substitution benefit. Before the robot, the owner 00:13:36.990 --> 00:13:39.470 -operator was doing 90 % of the milking labor. 00:13:39.570 --> 00:13:42.029 All of it, basically. By automating, they freed 00:13:42.029 --> 00:13:45.269 up 3 ,000 to 4 ,000 hours of manual labor annually, 00:13:45.509 --> 00:13:47.870 which they could immediately redirect to higher 00:13:47.870 --> 00:13:50.389 -value activities like processing, direct sales, 00:13:50.590 --> 00:13:53.539 or simply managing the land better. They truly 00:13:53.539 --> 00:13:55.519 solved their labor problem at the owner level. 00:13:55.700 --> 00:13:57.820 Then you have Group 2, the large operations, 00:13:57.980 --> 00:14:01.379 121 cows and up, running multi -robot systems. 00:14:01.600 --> 00:14:03.559 They were generally profitable, as you'd expect, 00:14:03.639 --> 00:14:05.820 provided they executed properly with facility 00:14:05.820 --> 00:14:08.139 design and genetics. They succeed because they 00:14:08.139 --> 00:14:11.210 achieve true economies of scale. Exactly. The 00:14:11.210 --> 00:14:13.470 massive fixed cost of the machine is diluted 00:14:13.470 --> 00:14:16.929 across a huge volume of milk, 200, 300, 400 cows. 00:14:17.129 --> 00:14:19.230 The maintenance cost per hundredweight is low, 00:14:19.389 --> 00:14:21.350 and their high throughput means they maximize 00:14:21.350 --> 00:14:24.769 the capacity of the machine. But then, the kicker, 00:14:24.789 --> 00:14:26.990 the group that is most representative of the 00:14:26.990 --> 00:14:29.269 traditional dairy farmer today. Group three, 00:14:29.389 --> 00:14:34.370 the missing middle, 61 to 120 cows. And crucially, 00:14:34.490 --> 00:14:37.639 this group. saw decreased profitability after 00:14:37.639 --> 00:14:40.279 installing robots. That is a scale trap nobody 00:14:40.279 --> 00:14:43.379 anticipated, and it represents 40 to 50 % of 00:14:43.379 --> 00:14:45.919 North American dairies. They are too large to 00:14:45.919 --> 00:14:48.980 benefit from the simplicity and 100 % labor substitution 00:14:48.980 --> 00:14:52.399 gains of the small operations because they likely 00:14:52.399 --> 00:14:55.220 still need hired labor to manage the herd. But 00:14:55.220 --> 00:14:57.000 they are too small to achieve the efficiency 00:14:57.000 --> 00:15:00.399 or the scale required to absorb the massive fixed 00:15:00.399 --> 00:15:02.820 capital and operational costs. If we connect 00:15:02.820 --> 00:15:05.299 this to the bigger picture, This explains the 00:15:05.299 --> 00:15:08.259 widespread marginal profitability. If you're 00:15:08.259 --> 00:15:11.059 a Wisconsin farmer averaging 90 cows or a New 00:15:11.059 --> 00:15:13.519 York farm running 110, you are directly in the 00:15:13.519 --> 00:15:15.419 danger zone identified by this Turkish study. 00:15:15.620 --> 00:15:17.980 You bought a six -figure solution designed for 00:15:17.980 --> 00:15:20.940 maximum efficiency at 150 plus cows, but you're 00:15:20.940 --> 00:15:23.480 only putting 75 % of that volume through it and 00:15:23.480 --> 00:15:26.500 the high fixed cost just crushes you. It raises 00:15:26.500 --> 00:15:28.179 a really important question for the farmer listening. 00:15:28.340 --> 00:15:32.340 If your scale is 70, 80, 90 cows, the robot investment 00:15:32.340 --> 00:15:34.639 might inherently work against you. The fixed 00:15:34.639 --> 00:15:37.340 cost of the machine, the depreciation, the financing, 00:15:37.559 --> 00:15:40.960 the high energy use, it's simply too high for 00:15:40.960 --> 00:15:43.899 that moderate volume. You are forced to operate 00:15:43.899 --> 00:15:46.580 the machine well below its peak efficiency capacity, 00:15:46.840 --> 00:15:49.250 and you lose money because of it. And that is 00:15:49.250 --> 00:15:51.490 a painful reality check for the traditional family 00:15:51.490 --> 00:15:54.529 farm that has gradually expanded from 50 to 80 00:15:54.529 --> 00:15:57.789 cows to meet market demands. They feel the labor 00:15:57.789 --> 00:16:00.649 pressure. They see robots as the logical next 00:16:00.649 --> 00:16:03.610 step to sustain the family legacy, but economically. 00:16:04.169 --> 00:16:06.330 They've positioned themselves in the worst possible 00:16:06.330 --> 00:16:08.669 place for automation success. They need to either 00:16:08.669 --> 00:16:12.049 aggressively expand past 120 cows or contract 00:16:12.049 --> 00:16:14.610 back to under 60 before investing in robotics. 00:16:15.429 --> 00:16:17.629 Standing still in that middle zone is a recipe 00:16:17.629 --> 00:16:20.129 for financial regret. Moving on to segment three, 00:16:20.289 --> 00:16:22.450 the genetic and infrastructure requirements. 00:16:22.850 --> 00:16:24.629 This is where we discuss the things that require 00:16:24.629 --> 00:16:27.129 long -term planning, often years of preparation, 00:16:27.429 --> 00:16:29.889 and also the things that are completely omitted 00:16:29.889 --> 00:16:32.049 from the sales process. You don't just buy a 00:16:32.049 --> 00:16:34.409 robot. You have to breed a herd for it, and you 00:16:34.409 --> 00:16:36.690 have to build the barn for the breed. Precisely. 00:16:36.830 --> 00:16:39.269 We need to talk about the five, eight -year genetic 00:16:39.269 --> 00:16:43.019 timeline. You cannot buy a robot today and expect 00:16:43.019 --> 00:16:45.340 your existing herd to be optimized next year. 00:16:45.460 --> 00:16:47.940 It doesn't work that way. No. Research shows 00:16:47.940 --> 00:16:50.559 that udder confirmation traits, things like teat 00:16:50.559 --> 00:16:53.539 placement, udder height, the angle of the udder, 00:16:53.539 --> 00:16:55.980 which are essential for fast, efficient robotic 00:16:55.980 --> 00:16:59.440 milking, are moderately to highly heritable. 00:16:59.519 --> 00:17:03.899 We're talking .40 to .79. And to put that technical 00:17:03.899 --> 00:17:05.700 number in plain English for the farmer listening. 00:17:06.200 --> 00:17:08.940 That range means that if you select bulls specifically 00:17:08.940 --> 00:17:11.700 for these traits, the positive changes will show 00:17:11.700 --> 00:17:13.519 up consistently in the next generation. Right. 00:17:13.640 --> 00:17:16.079 It means that robot success is not accidental. 00:17:16.339 --> 00:17:19.619 It is bred. But breeding takes time. And that's 00:17:19.619 --> 00:17:22.660 a profound shift in mindset. For decades, we 00:17:22.660 --> 00:17:25.720 bred for maximum individual volume, period. That's 00:17:25.720 --> 00:17:27.400 all that mattered. But we heard the story of 00:17:27.400 --> 00:17:29.420 the Wisconsin farmer who installed robots and 00:17:29.420 --> 00:17:31.940 two years later had to make the agonizing decision 00:17:31.940 --> 00:17:34.970 to cull some of his highest producing cows. Which 00:17:34.970 --> 00:17:37.130 sounds completely counterintuitive. Why would 00:17:37.130 --> 00:17:38.910 you get rid of your highest revenue generators? 00:17:39.210 --> 00:17:42.289 Because in an automated system, efficiency beats 00:17:42.289 --> 00:17:45.630 individual volume every single time. Those high 00:17:45.630 --> 00:17:48.029 volume cows might have been producing 120 pounds 00:17:48.029 --> 00:17:50.650 a day. But if they're utter confirmation. Maybe 00:17:50.650 --> 00:17:52.849 a rear teeth that's slightly too far back or 00:17:52.849 --> 00:17:56.150 a narrow, utter cleft. Exactly. If it meant the 00:17:56.150 --> 00:17:59.630 robot struggled to attach or they took 15 minutes 00:17:59.630 --> 00:18:01.710 to milk instead of the system average of seven 00:18:01.710 --> 00:18:04.049 minutes, they actually choked the whole system. 00:18:04.109 --> 00:18:06.769 They reduced the flow and capacity for 15 other 00:18:06.769 --> 00:18:09.920 cows waiting to be milked. So the farmer realized 00:18:09.920 --> 00:18:12.619 his total throughput and ultimately his net revenue 00:18:12.619 --> 00:18:15.319 increased when he replaced those high -volume, 00:18:15.319 --> 00:18:19.400 low -efficiency cows with more moderate but consistently 00:18:19.400 --> 00:18:22.140 robot -friendly animals. He traded high peaks 00:18:22.140 --> 00:18:25.039 for high reliable averages. The CRV, one of the 00:18:25.039 --> 00:18:27.480 major genetic organizations, has quantified the 00:18:27.480 --> 00:18:29.660 long -term payoff on this. They found that farmers 00:18:29.660 --> 00:18:32.180 who consistently use bowls specifically selected 00:18:32.180 --> 00:18:34.559 for these robot -friendly crates ultimately gain 00:18:34.559 --> 00:18:38.420 about 350 ,000 pounds more milk per robot annually 00:18:38.420 --> 00:18:41.380 compared to farms that ignore genetics. That 00:18:41.380 --> 00:18:44.420 is massive. For a moderate three -robot operation, 00:18:45.049 --> 00:18:48.309 That translates to well over $200 ,000 in additional 00:18:48.309 --> 00:18:50.869 revenue every year, assuming average milk prices. 00:18:51.049 --> 00:18:53.869 That $200 ,000 is the difference between being 00:18:53.869 --> 00:18:56.390 in that marginal profitability zone and being 00:18:56.390 --> 00:18:59.509 in the successful 28%. But here's the critical 00:18:59.509 --> 00:19:04.049 warning. This substantial payoff only materializes 00:19:04.049 --> 00:19:06.430 after five to eight years of strategic breeding, 00:19:06.670 --> 00:19:10.230 genomic testing, and targeted culling. If you 00:19:10.230 --> 00:19:12.390 are starting the genetic selection process after 00:19:12.390 --> 00:19:14.890 the robot is installed, You are guaranteed to 00:19:14.890 --> 00:19:17.269 be losing money or operating marginally for the 00:19:17.269 --> 00:19:19.470 first half decade, exacerbating all that financial 00:19:19.470 --> 00:19:21.529 pressure we talked about earlier. Let's pivot 00:19:21.529 --> 00:19:24.049 now to the facility mistakes that determine destiny. 00:19:24.509 --> 00:19:27.450 The Calgary study found that a stunning 68 % 00:19:27.450 --> 00:19:29.869 of farmers regretted something about their installation 00:19:29.869 --> 00:19:32.089 design. Two -thirds. Two -thirds of the population 00:19:32.089 --> 00:19:33.630 wishing they had done something differently. 00:19:33.849 --> 00:19:36.029 And that regret often comes from trying to save 00:19:36.029 --> 00:19:38.670 money up front. The Kansas farmer anecdote is 00:19:38.670 --> 00:19:41.190 perfect here. He retrofitted his facility to 00:19:41.190 --> 00:19:44.869 save $250 ,000. And lost 10 pounds per cow until 00:19:44.869 --> 00:19:47.349 he bit the bullet and redesigned his entire layout 00:19:47.349 --> 00:19:49.990 a year later. You simply have to build the facility 00:19:49.990 --> 00:19:52.569 around the robot's required flow, not cram the 00:19:52.569 --> 00:19:54.910 robot into an old building and expect it to function 00:19:54.910 --> 00:19:57.250 perfectly. And here's the most prevalent hidden 00:19:57.250 --> 00:19:59.730 killer we found in the Dairyland Initiative research 00:19:59.730 --> 00:20:02.849 out of Wisconsin. Feed space. This is the issue 00:20:02.849 --> 00:20:05.410 that derails retrofits of standard four -row 00:20:05.410 --> 00:20:08.589 barns. Absolutely. Trying to save money and maximize 00:20:08.589 --> 00:20:11.309 cow numbers in an existing footprint means you 00:20:11.309 --> 00:20:14.250 often end up with terrible feed space 12 to 18 00:20:14.250 --> 00:20:17.430 inches per cow. When the absolute minimum requirement 00:20:17.430 --> 00:20:19.809 for health, competition reduction, and optimal 00:20:19.809 --> 00:20:23.309 flow is 24 inches. And the consequences of sacrificing 00:20:23.309 --> 00:20:26.609 those 6 to 12 inches of feed space are just compounded 00:20:26.609 --> 00:20:29.049 and catastrophic. It creates massive stress and 00:20:29.049 --> 00:20:31.529 social pressure in the herd. The data is stark. 00:20:31.829 --> 00:20:34.029 Subordinate cows who already struggle to compete 00:20:34.029 --> 00:20:36.430 for resources see their dry matter intake drop 00:20:36.430 --> 00:20:39.390 15 to 25 percent. If a cow isn't eating, she 00:20:39.390 --> 00:20:41.509 isn't producing the milk needed to justify the 00:20:41.509 --> 00:20:44.380 robot. And on top of that, lameness rates jump 00:20:44.380 --> 00:20:48.099 from a manageable 20 % to a crippling 35 % to 00:20:48.099 --> 00:20:51.299 45 % because of increased standing time and crowding. 00:20:51.609 --> 00:20:54.150 So you traded a labor problem for a series of 00:20:54.150 --> 00:20:56.109 health and lameness problems that require more 00:20:56.109 --> 00:20:58.630 management time, higher vet bills, and higher 00:20:58.630 --> 00:21:00.549 culling rates. All because you compromised on 00:21:00.549 --> 00:21:02.710 feed space to save a few dollars on construction. 00:21:03.069 --> 00:21:05.589 And you see the impact immediately on fetching 00:21:05.589 --> 00:21:07.769 requirements, the time you spend manually walking 00:21:07.769 --> 00:21:10.789 cows to the robot. Right. That jumps from a manageable 00:21:10.789 --> 00:21:13.970 5 % to a punishing 20 % of the herd when the 00:21:13.970 --> 00:21:16.130 facility compromises flow and creates stress. 00:21:16.569 --> 00:21:18.549 And there goes your quality of life benefit, 00:21:18.750 --> 00:21:22.099 vanishing instantly. Gone. Let's talk about traffic 00:21:22.099 --> 00:21:25.240 flow economics. Farmers try to save, what, $40 00:21:25.240 --> 00:21:28.279 ,000 to $60 ,000 by opting for free traffic flow 00:21:28.279 --> 00:21:30.640 instead of installing the selection gates and 00:21:30.640 --> 00:21:33.259 routing mechanisms required for true guided traffic. 00:21:33.500 --> 00:21:35.920 What's the price of that saving? Research published 00:21:35.920 --> 00:21:38.279 in Animal Welfare Science showed that facilities 00:21:38.279 --> 00:21:40.900 with poor flow reduce cow lying time dramatically. 00:21:41.420 --> 00:21:44.279 Cows require 12 to 14 hours of lying time daily 00:21:44.279 --> 00:21:46.880 for peak health and rumination. And poor flow 00:21:46.880 --> 00:21:50.099 facilities drop that to just 9 to 11 hours. If 00:21:50.099 --> 00:21:51.759 they aren't resting, they aren't making milk, 00:21:51.859 --> 00:21:54.740 their health suffers, and lameness goes up. You 00:21:54.740 --> 00:21:57.980 save $60 ,000 on infrastructure, but you permanently 00:21:57.980 --> 00:22:00.599 kneecapped your production potential, pushing 00:22:00.599 --> 00:22:02.720 you right back into that marginal profitability 00:22:02.720 --> 00:22:06.680 zone. And finally, the backup mandate. This is 00:22:06.680 --> 00:22:08.859 a must -have that gets ignored during the sales 00:22:08.859 --> 00:22:11.799 pitch. You cannot run a robot operation without 00:22:11.799 --> 00:22:14.460 planning for failures, maintenance, and non -adapters. 00:22:14.599 --> 00:22:17.079 That Calgary research showed about 2 % of the 00:22:17.079 --> 00:22:19.680 herd will simply not work with robots, no matter 00:22:19.680 --> 00:22:22.220 how hard you try. They need to be culled or moved. 00:22:22.519 --> 00:22:25.279 Right. And plus, every farm needs capacity for 00:22:25.279 --> 00:22:27.940 fresh cow protocols, treated cows, and emergencies. 00:22:28.849 --> 00:22:31.390 Ignoring backup milking capacity is not only 00:22:31.390 --> 00:22:33.930 short -sighted, it's actively reducing the health 00:22:33.930 --> 00:22:36.210 and management flexibility of your entire operation. 00:22:36.549 --> 00:22:38.650 Forcing you to compromise on cow care. Exactly. 00:22:38.789 --> 00:22:40.630 We've established that the success of robotic 00:22:40.630 --> 00:22:43.450 milking hinges on genetics, optimal facility 00:22:43.450 --> 00:22:46.970 design, and being outside that 61 to 120 cow 00:22:46.970 --> 00:22:50.069 scale trap. Now let's move to segment four, labor, 00:22:50.250 --> 00:22:53.529 management, and the litmus test. So when economically 00:22:53.529 --> 00:22:56.109 does the labor equation actually favor robots? 00:22:56.839 --> 00:22:59.759 The data is surprisingly specific here. Robots 00:22:59.759 --> 00:23:02.599 become competitive when labor costs are undeniably 00:23:02.599 --> 00:23:06.359 high. We're talking $22 to $32 per hour, depending 00:23:06.359 --> 00:23:08.960 on the required production gains. Or when turnover 00:23:08.960 --> 00:23:12.160 exceeds 50 % annually, meaning you are constantly 00:23:12.160 --> 00:23:15.740 retraining staff. Ideally, you have both, addressing 00:23:15.740 --> 00:23:18.339 both the cost and the reliability issues simultaneously. 00:23:19.019 --> 00:23:21.920 The USDA's data this year cited annual turnover 00:23:21.920 --> 00:23:25.970 for the dairy workforce at 38 .8%. That's already 00:23:25.970 --> 00:23:28.390 creating measurable, costly production losses 00:23:28.390 --> 00:23:31.609 on many farms due to inconsistency and lack of 00:23:31.609 --> 00:23:33.910 skilled labor. So if you are in a high -cost 00:23:33.910 --> 00:23:36.190 area like the Northeast or West Coast where labor 00:23:36.190 --> 00:23:38.470 prices are naturally higher and competition for 00:23:38.470 --> 00:23:40.950 workers is fierce, robots look attractive purely 00:23:40.950 --> 00:23:42.970 from a cost substitution perspective. They are 00:23:42.970 --> 00:23:45.089 replacing expensive, high -turnover human capital. 00:23:45.289 --> 00:23:47.069 But here's the contrarian take that we need to 00:23:47.069 --> 00:23:49.369 emphasize. For farms with stable, affordable 00:23:49.369 --> 00:23:52.670 labor, say $18 to $20 per hour, which is still 00:23:52.670 --> 00:23:54.549 common in many established rural communities. 00:23:54.640 --> 00:23:56.839 Robots often solve a problem they don't have, 00:23:56.880 --> 00:23:59.200 regardless of genetics or scale. I remember the 00:23:59.200 --> 00:24:01.099 quote from the Nebraska farmer we highlighted. 00:24:01.359 --> 00:24:03.940 We have great employees who've been with us 10 00:24:03.940 --> 00:24:06.740 plus years. We pay them well. They're consistent. 00:24:07.519 --> 00:24:09.960 Robots would have solved a labor problem we don't 00:24:09.960 --> 00:24:13.700 have. Why introduce $1 .5 million in capital 00:24:13.700 --> 00:24:17.319 costs? $70 ,000 in higher annual energy bills, 00:24:17.480 --> 00:24:21.000 and 300 % maintenance cost overruns if your biggest 00:24:21.000 --> 00:24:23.759 pain point labor is already managed efficiently 00:24:23.759 --> 00:24:26.920 and affordably. It's a pure economic calculation 00:24:26.920 --> 00:24:29.420 at that point. If your labor cost is low and 00:24:29.420 --> 00:24:31.539 stable, the robot's depreciation and operational 00:24:31.539 --> 00:24:34.640 costs often significantly exceed the wage savings. 00:24:35.039 --> 00:24:37.579 You gained lifestyle flexibility, but you lost 00:24:37.579 --> 00:24:39.880 financially, pushing you right back into that 00:24:39.880 --> 00:24:42.099 marginal profitability zone you desperately want 00:24:42.099 --> 00:24:44.240 to avoid. Let's talk about management temperament. 00:24:44.519 --> 00:24:47.200 This is a crucial non -financial factor that 00:24:47.200 --> 00:24:49.400 determines success, and one that farm business 00:24:49.400 --> 00:24:51.500 consultants often highlight. Conventional dairy 00:24:51.500 --> 00:24:54.279 farming rewards the hands -on, fix -it -now mentality. 00:24:54.640 --> 00:24:57.359 Automation rewards the exact opposite, systems 00:24:57.359 --> 00:25:00.099 thinking and patience. The Dutch research from 00:25:00.099 --> 00:25:02.640 2020 on farmers who actually quit robotic milking 00:25:02.640 --> 00:25:05.740 is fascinating. These farmers scored significantly 00:25:05.740 --> 00:25:09.039 higher on conscientiousness scales, that disciplined, 00:25:09.319 --> 00:25:12.299 hardworking, perfectionist mentality. The one 00:25:12.299 --> 00:25:15.059 who sees a cow limping? Or the robot struggling 00:25:15.059 --> 00:25:17.599 to attach and immediately rushes in to manually 00:25:17.599 --> 00:25:20.299 intervene? That person is actually a liability 00:25:20.299 --> 00:25:22.819 in an automated system. Why is that a liability? 00:25:23.180 --> 00:25:25.420 If you're conscientious, shouldn't you be successful? 00:25:25.680 --> 00:25:28.240 Because robot management is indirect and data 00:25:28.240 --> 00:25:31.539 -driven. The successful robot farmer relies on 00:25:31.539 --> 00:25:34.720 the system working, often allowing 24 to 48 hours 00:25:34.720 --> 00:25:37.400 for cow adaptation or letting minor issues resolve 00:25:37.400 --> 00:25:39.619 themselves. But the conscientious farmer who 00:25:39.619 --> 00:25:42.539 rushes in and fetches cows at 5 % or constantly 00:25:42.539 --> 00:25:45.559 overrides the system ends up negating the efficiency 00:25:45.559 --> 00:25:48.339 gain and burning themselves out. Success requires 00:25:48.339 --> 00:25:51.519 comfort with data, systems thinking, and accepting 00:25:51.519 --> 00:25:54.420 a baseline level of imperfection like accepting 00:25:54.420 --> 00:25:57.240 that 5 -8 % of cows will always need fetching. 00:25:57.240 --> 00:25:59.779 You have to manage the data. Not the cow. You 00:25:59.779 --> 00:26:01.759 are stepping back from the physical process and 00:26:01.759 --> 00:26:04.200 managing the exception reports. And that's a 00:26:04.200 --> 00:26:06.920 huge psychological shift for a lifelong dairy 00:26:06.920 --> 00:26:10.259 farmer. It requires a specific temperament. If 00:26:10.259 --> 00:26:12.099 you are the person who has to fix it right now, 00:26:12.259 --> 00:26:15.359 every time, automation will destroy your efficiency 00:26:15.359 --> 00:26:17.660 and your peace of mind. You have to be comfortable 00:26:17.660 --> 00:26:20.299 waiting for technical support, trusting the data, 00:26:20.400 --> 00:26:22.279 and letting the robot handle the consistency. 00:26:22.839 --> 00:26:25.160 Let's pivot to the success profile because it's 00:26:25.160 --> 00:26:26.599 important to give our listeners a blueprint. 00:26:27.019 --> 00:26:28.900 We've highlighted the Vermont farmer success 00:26:28.900 --> 00:26:31.720 story as the ideal profile for that successful 00:26:31.720 --> 00:26:35.720 28%. What worked for them? They executed perfectly 00:26:35.720 --> 00:26:39.319 on the three non -negotiables. Scale, genetics, 00:26:39.539 --> 00:26:41.400 and facility. First, they didn't cut corners 00:26:41.400 --> 00:26:43.799 on infrastructure. Their investment was $1 .7 00:26:43.799 --> 00:26:46.099 million to build new, designed from the ground 00:26:46.099 --> 00:26:48.940 up explicitly for robots rather than trying to 00:26:48.940 --> 00:26:51.880 retrofit for $800 ,000 and inheriting permanent 00:26:51.880 --> 00:26:55.160 compromises. Flow and feed -based. Exactly. Second, 00:26:55.400 --> 00:26:57.779 the genetic preparation was key. They started 00:26:57.779 --> 00:27:00.680 genomic testing every single animal and began 00:27:00.680 --> 00:27:02.720 aggressive culling for robot efficiency traits 00:27:02.720 --> 00:27:04.940 two years before the first robot arrived. They 00:27:04.940 --> 00:27:06.779 were already positioned for success with high 00:27:06.779 --> 00:27:09.099 efficiency udders when the robots went online. 00:27:09.420 --> 00:27:12.500 And the results speak for themselves. They achieved 00:27:12.500 --> 00:27:15.440 90 to 95 pounds per day production with robots 00:27:15.440 --> 00:27:18.440 running at high efficiency and reported 40 to 00:27:18.440 --> 00:27:21.099 50 percent annual labor cost reduction. This 00:27:21.099 --> 00:27:23.880 is what clear profitability looks like. but it 00:27:23.880 --> 00:27:26.819 required massive strategic upfront investment 00:27:26.819 --> 00:27:29.940 and years of meticulous preparation. They treated 00:27:29.940 --> 00:27:32.339 the installation as the final phase of a long 00:27:32.339 --> 00:27:35.259 -term strategy, not the starting point. Which 00:27:35.259 --> 00:27:37.339 brings us to the single predictive question, 00:27:37.559 --> 00:27:40.380 the ultimate diagnostic tool that separates the 00:27:40.380 --> 00:27:43.599 prepared from the dreamers. This question encapsulates 00:27:43.599 --> 00:27:45.680 everything we've discussed about required capital 00:27:45.680 --> 00:27:47.859 and commitment. This is the litmus test you must 00:27:47.859 --> 00:27:50.299 run against your own farm's balance sheet. It 00:27:50.299 --> 00:27:53.109 forces honesty. Can you comfortably absorb $100 00:27:53.109 --> 00:27:56.269 ,000 in annual losses for three consecutive years? 00:27:56.410 --> 00:27:59.349 And invest an additional $150 ,000 in facility 00:27:59.349 --> 00:28:01.809 and genetic corrections without threatening your 00:28:01.809 --> 00:28:04.490 farm's survival. Let's break down that $400 ,000 00:28:04.490 --> 00:28:07.650 risk tolerance. The $100 ,000 annual loss is 00:28:07.650 --> 00:28:09.650 an estimate based on the high probability of 00:28:09.650 --> 00:28:11.910 being in that marginal profitability zone initially. 00:28:12.559 --> 00:28:16.019 Seeing only a 2 -3 pound gain, dealing with 300 00:28:16.019 --> 00:28:19.539 % cost overruns, and absorbing interest costs 00:28:19.539 --> 00:28:22.559 for three years while you wait for genetics and 00:28:22.559 --> 00:28:24.839 management to catch up. And the additional $150 00:28:24.839 --> 00:28:27.700 ,000 is the budget you need to fix the infrastructure 00:28:27.700 --> 00:28:30.220 compromises you might have made, replace non 00:28:30.220 --> 00:28:33.480 -compliant cows faster than planned, or handle 00:28:33.480 --> 00:28:35.599 a major six -figure maintenance bill that the 00:28:35.599 --> 00:28:37.839 dealer didn't project. We're talking about a 00:28:37.839 --> 00:28:40.240 comfortable tolerance for absorbing up to $400 00:28:40.240 --> 00:28:44.099 ,000 in operational and corrective losses over 00:28:44.099 --> 00:28:46.400 the first few critical years. If the answer to 00:28:46.400 --> 00:28:48.680 that question, can I tolerate a half -million 00:28:48.680 --> 00:28:51.819 -dollar shock over three years, is not a confident, 00:28:51.980 --> 00:28:54.799 immediate yes, the research clearly suggests 00:28:54.799 --> 00:28:57.660 waiting or seeking alternatives. You are buying 00:28:57.660 --> 00:28:59.539 a machine that is financially designed to make 00:28:59.539 --> 00:29:02.460 the successful 28 % rich, but only if they have 00:29:02.460 --> 00:29:05.000 the massive capital reserves to survive the initial 00:29:05.000 --> 00:29:07.480 transition. It's not about if robots are good 00:29:07.480 --> 00:29:09.960 or bad technology. It's about honesty and capital. 00:29:10.140 --> 00:29:12.180 If you don't have the capital reserves for that 00:29:12.180 --> 00:29:14.559 three -year bleed and the subsequent facility 00:29:14.559 --> 00:29:17.000 fix -ups, you're not buying a solution. You're 00:29:17.000 --> 00:29:19.160 buying a financial time bomb tied to high interest 00:29:19.160 --> 00:29:22.440 rates and operational risk. You've heard the 00:29:22.440 --> 00:29:24.759 numbers. A farmer just finished morning milking. 00:29:24.859 --> 00:29:26.980 They're driving to the feed store, thinking about 00:29:26.980 --> 00:29:30.319 this seven -figure decision. What are the three 00:29:30.319 --> 00:29:32.640 non -negotiable takeaways they need right now? 00:29:33.200 --> 00:29:35.900 Let's structure this into actionable steps. Okay, 00:29:35.920 --> 00:29:38.160 we need to start with immediate action. This 00:29:38.160 --> 00:29:39.940 is what they can do this week without spending 00:29:39.940 --> 00:29:42.900 another dime. Action. Determine your current 00:29:42.900 --> 00:29:44.740 farm's positioning regarding the scale trap. 00:29:45.019 --> 00:29:47.420 Pull up your cow inventory and check if you fall 00:29:47.420 --> 00:29:51.279 into that 61 to 120 cow dead zone, or if you 00:29:51.279 --> 00:29:55.140 are below 60 or aggressively above 120. Why? 00:29:55.279 --> 00:29:57.700 This decision fundamentally alters your entire 00:29:57.700 --> 00:30:00.900 financial feasibility analysis. If you are in 00:30:00.900 --> 00:30:04.700 the 61 -120 cow dead zone, any robot plan requires 00:30:04.700 --> 00:30:07.559 an immediate specific strategy to either scale 00:30:07.559 --> 00:30:10.480 up past 120 cows or contract drastically. Without 00:30:10.480 --> 00:30:12.700 a fixed scale adjustment strategy, the underlying 00:30:12.700 --> 00:30:15.059 fixed cost structure of the robot works against 00:30:15.059 --> 00:30:17.420 you from day one. You need a path out of the 00:30:17.420 --> 00:30:19.400 middle. Next, let's look at the medium -term 00:30:19.400 --> 00:30:21.920 strategy for the next three to six months, focusing 00:30:21.920 --> 00:30:24.660 entirely on preparation that takes time. Action. 00:30:25.069 --> 00:30:27.509 If you are even considering robots in the next 00:30:27.509 --> 00:30:30.069 five years, begin the genetic selection process 00:30:30.069 --> 00:30:33.450 now. Do not wait. Genomic test your entire herd 00:30:33.450 --> 00:30:35.869 for robot -friendly traits. Specifically focusing 00:30:35.869 --> 00:30:39.230 on udder conformation, teat placement, milking 00:30:39.230 --> 00:30:42.549 speed, and temperament. Why? You have to start 00:30:42.549 --> 00:30:46.150 this 5 -8 year timeline early. The $200 ,000 00:30:46.150 --> 00:30:49.170 additional revenue per robot achieved by successful 00:30:49.170 --> 00:30:52.329 farms is a result of years of strategic breeding. 00:30:52.950 --> 00:30:55.190 Starting this now accelerates your inevitable 00:30:55.190 --> 00:30:57.890 move from marginal performance to clear profitability 00:30:57.890 --> 00:31:00.529 once the machine is installed. It significantly 00:31:00.529 --> 00:31:02.730 reduces the financial pressure of those first 00:31:02.730 --> 00:31:05.269 three years of expected loss. Genetics are the 00:31:05.269 --> 00:31:07.730 cheapest and easiest preparation you can do today. 00:31:07.950 --> 00:31:09.630 And finally, long -term positioning for the next 00:31:09.630 --> 00:31:12.089 one to two years. This is about financial self 00:31:12.089 --> 00:31:14.369 -assessment and honesty with your lender. Action. 00:31:14.549 --> 00:31:16.910 Conduct a hard financial assessment against that 00:31:16.910 --> 00:31:19.710 $400 ,000 loss tolerance question. When you run 00:31:19.710 --> 00:31:21.329 your projections, you must assume operational 00:31:21.329 --> 00:31:24.210 costs and maintenance will be 300 % to 400 % 00:31:24.210 --> 00:31:26.109 higher than dealer projections. And that you 00:31:26.109 --> 00:31:28.690 will only achieve a minimal $2 ,000 daily increase 00:31:28.690 --> 00:31:31.950 initially. Budget for the unexpected. Why? This 00:31:31.950 --> 00:31:34.710 forces realism and establishes necessary capital 00:31:34.710 --> 00:31:37.740 reserves. If you lack the capital reserves to 00:31:37.740 --> 00:31:39.819 absorb those higher running costs and that loss, 00:31:40.099 --> 00:31:42.900 critical facility upgrades like ensuring proper 00:31:42.900 --> 00:31:46.140 24 -inch feed space and a new build, which can 00:31:46.140 --> 00:31:49.079 easily add $1 .2 million or more to your construction 00:31:49.079 --> 00:31:52.640 cost, become non -starters. And you will be forced 00:31:52.640 --> 00:31:55.259 to compromise on infrastructure, which the data 00:31:55.259 --> 00:31:58.519 overwhelmingly shows is the single biggest predictor 00:31:58.519 --> 00:32:00.980 of long -term failure and marginal profitability. 00:32:01.339 --> 00:32:03.539 This has been another essential deep dive from 00:32:03.539 --> 00:32:05.960 the Bullvine podcast. What we've discussed today 00:32:05.960 --> 00:32:08.039 shows that robotic milking is transformative 00:32:08.039 --> 00:32:10.539 for the right 28 to 40 percent of operations. 00:32:11.369 --> 00:32:13.769 Those with the specific scale, massive capital 00:32:13.769 --> 00:32:15.930 reserves, the genetic commitment, and the right 00:32:15.930 --> 00:32:18.009 managerial temperament to handle data -driven 00:32:18.009 --> 00:32:21.009 systems. But for the majority, the 60 to 72 percent 00:32:21.009 --> 00:32:23.210 that lack those three non -negotiable factors, 00:32:23.609 --> 00:32:25.869 the technology creates more operational and financial 00:32:25.869 --> 00:32:28.009 problems than it solves. The core message is 00:32:28.009 --> 00:32:29.650 that we need to stop following industry narratives 00:32:29.650 --> 00:32:32.430 about what is inevitable. You can't afford inevitability 00:32:32.430 --> 00:32:35.230 if it bankrupts you. We need to be brutally honest 00:32:35.230 --> 00:32:37.829 with ourselves. The conversation should shift 00:32:37.829 --> 00:32:41.579 entirely from, is automation good? to the specific 00:32:41.579 --> 00:32:44.700 question is my farm aligned with automation specific 00:32:44.700 --> 00:32:47.240 and demanding requirements you have to know your 00:32:47.240 --> 00:32:49.200 scale you have to know your capital reserves 00:32:49.200 --> 00:32:51.779 and you have to know your genetic timeline if 00:32:51.779 --> 00:32:54.180 you're not prepared to absorb operational losses 00:32:54.180 --> 00:32:57.440 for three years and invest heavily in facility 00:32:57.440 --> 00:33:00.779 and genetics wait delaying this decision is a 00:33:00.779 --> 00:33:04.640 financially sound sophisticated choice and potentially 00:33:04.640 --> 00:33:07.109 the difference between success and failure If 00:33:07.109 --> 00:33:09.470 this kind of direct no BS analysis helps your 00:33:09.470 --> 00:33:12.109 operation make smarter decisions, head to www 00:33:12.109 --> 00:33:15.190 .thebullvine .com for more articles and resources 00:33:15.190 --> 00:33:17.690 that drill down into the real economics of the 00:33:17.690 --> 00:33:20.150 dairy industry. You can find all the cited research 00:33:20.150 --> 00:33:22.289 there. And seriously, subscribe wherever you 00:33:22.289 --> 00:33:24.369 get your podcasts. We're releasing these deep 00:33:24.369 --> 00:33:27.009 dives twice weekly now. And trust me, you don't 00:33:27.009 --> 00:33:28.549 want to miss what we've got coming next week, 00:33:28.569 --> 00:33:31.130 where we're tackling the true market impact of 00:33:31.130 --> 00:33:33.589 current regulatory changes on protein and butterfat 00:33:33.589 --> 00:33:35.900 pricing. and what it means for your breeding 00:33:35.900 --> 00:33:39.420 program in 2024. Thanks for diving deep with 00:33:39.420 --> 00:33:40.599 us. We'll see you next time.