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 --> 00:01:03.020 we're sparking Welcome to the Bullvine Podcast, 00:01:03.460 --> 00:01:06.000 your go -to source for fearless insights and 00:01:06.000 --> 00:01:08.519 practical advice that keep America's dairy farms 00:01:08.519 --> 00:01:12.280 thriving. Today, we're diving into a critical 00:01:12.280 --> 00:01:15.140 topic that most producers are ignoring, the hidden 00:01:15.140 --> 00:01:17.659 costs of labor turnover in the dairy industry. 00:01:17.879 --> 00:01:20.959 We're talking about a crisis that's quietly bleeding 00:01:20.959 --> 00:01:25.299 operations dry, costing farms up to $25 ,000 00:01:25.299 --> 00:01:28.730 per departed worker. Stick around to learn why 00:01:28.730 --> 00:01:31.390 this isn't just an HR issue, but a full -blown 00:01:31.390 --> 00:01:33.790 productivity killer that could determine whether 00:01:33.790 --> 00:01:36.849 your operation leads the industry's next evolution 00:01:36.849 --> 00:01:40.849 or becomes another consolidation statistic. Let's 00:01:40.849 --> 00:01:43.030 dive in. Welcome back to The Bullvine Podcast, 00:01:43.450 --> 00:01:45.409 the show that digs deep into the topics that 00:01:45.409 --> 00:01:47.489 matter to dairy producers. That's right. Today, 00:01:47.609 --> 00:01:49.469 we're tackling a really interesting feature article 00:01:49.469 --> 00:01:52.290 from The Bullvine that's got everyone talking. 00:01:52.719 --> 00:01:55.819 Our deep dive today is into a crucial topic that 00:01:55.819 --> 00:01:58.840 many might overlook titled Dairy's Hidden Crisis, 00:01:59.099 --> 00:02:02.500 the cost of turnover. It's a piece that challenges 00:02:02.500 --> 00:02:05.400 us to fundamentally rethink what we perceive 00:02:05.400 --> 00:02:07.750 as the biggest threats to our operations. And 00:02:07.750 --> 00:02:10.370 it truly does. You know, for so long, the conversation 00:02:10.370 --> 00:02:13.650 has rightly centered on highly visible, often 00:02:13.650 --> 00:02:15.909 volatile factors like fluctuating milk prices, 00:02:16.050 --> 00:02:18.789 the relentless march of feed costs, or even the 00:02:18.789 --> 00:02:21.729 immediate impact of extreme weather. But this 00:02:21.729 --> 00:02:24.030 article really shifts the focus, inviting us 00:02:24.030 --> 00:02:25.770 to look closer to something that's happening 00:02:25.770 --> 00:02:29.199 right in your barn twice a day. Every day. Your 00:02:29.199 --> 00:02:31.560 workforce. We're going to unpack why this isn't 00:02:31.560 --> 00:02:33.919 just an HR headache or, you know, a minor staffing 00:02:33.919 --> 00:02:36.319 inconvenience, but a massive insidious drain 00:02:36.319 --> 00:02:38.879 on productivity and profitability for dairy farms 00:02:38.879 --> 00:02:41.759 across the country. It's a hidden crisis, like 00:02:41.759 --> 00:02:44.219 the title says, that could be silently undermining 00:02:44.219 --> 00:02:46.340 even the most meticulously managed operations. 00:02:47.080 --> 00:02:49.860 Precisely. We'll delve into the surprising and 00:02:49.860 --> 00:02:52.419 often, well, underappreciated numbers behind 00:02:52.419 --> 00:02:55.319 this crisis, revealing the true economic impact 00:02:55.319 --> 00:02:57.969 that often goes untracked. We'll explore how 00:02:57.969 --> 00:03:00.629 geography isn't just a backdrop, but an active 00:03:00.629 --> 00:03:03.550 player in this labor dynamic and even dissected 00:03:03.550 --> 00:03:05.490 the often misunderstood reality of automation 00:03:05.490 --> 00:03:08.090 versus, say, the marketing heights surrounding 00:03:08.090 --> 00:03:10.889 it. And crucially, we'll then pivot to what savvy 00:03:10.889 --> 00:03:13.409 producers are doing right now on the ground to 00:03:13.409 --> 00:03:15.289 tackle this challenge head on with proactive 00:03:15.289 --> 00:03:18.650 and impactful solutions. So get ready to reevaluate 00:03:18.650 --> 00:03:20.830 what your biggest operational crisis might actually 00:03:20.830 --> 00:03:23.180 be. So when I first read this deep dive, that 00:03:23.180 --> 00:03:24.919 opening line, what if I told you the biggest 00:03:24.919 --> 00:03:27.120 threat to your dairy isn't feed costs? It's walking 00:03:27.120 --> 00:03:30.439 out your barn door daily. It really made me pause. 00:03:30.560 --> 00:03:32.659 It immediately forces you to question what you've 00:03:32.659 --> 00:03:34.460 always considered to be your primary concerns. 00:03:34.759 --> 00:03:36.840 What was your initial reaction to such a bold 00:03:36.840 --> 00:03:39.340 claim? And how does the article then build its 00:03:39.340 --> 00:03:42.159 case for that argument? That line, it's a bit 00:03:42.159 --> 00:03:44.360 of a gut punch, isn't it? My initial reaction 00:03:44.360 --> 00:03:47.819 was. A mix of recognition and maybe a bit of 00:03:47.819 --> 00:03:50.580 a challenge. Recognition because anyone in dairy 00:03:50.580 --> 00:03:53.180 knows the constant struggle of finding and keeping 00:03:53.180 --> 00:03:55.000 good people. It's just part of the landscape. 00:03:55.280 --> 00:03:57.819 But also a challenge because it asks us to elevate 00:03:57.819 --> 00:04:00.919 labor concerns to the same level as or maybe 00:04:00.919 --> 00:04:04.680 even above feed and milk prices. The article 00:04:04.680 --> 00:04:07.060 builds this case by immediately grounding us 00:04:07.060 --> 00:04:09.800 in a stark reality, the foundational dependency 00:04:09.800 --> 00:04:12.379 of the industry. It highlights that immigrant 00:04:12.379 --> 00:04:14.919 workers make up about 51 % of the dairy workforce. 00:04:15.259 --> 00:04:17.300 And what's truly astonishing, really, is that 00:04:17.300 --> 00:04:19.500 they produce roughly 79 % of America's milk. 00:04:19.620 --> 00:04:23.579 Wow, 79%. That's huge. It is. So this isn't just 00:04:23.579 --> 00:04:25.180 a staffing challenge, you know, a matter of filling 00:04:25.180 --> 00:04:27.819 an empty slot. It's the very bedrock our entire 00:04:27.819 --> 00:04:30.319 industry relies on. It's a demographic reality 00:04:30.319 --> 00:04:32.920 that means a significant, maybe irreplaceable 00:04:32.920 --> 00:04:35.120 portion of our national milk supply is directly 00:04:35.120 --> 00:04:37.399 dependent on this specific group of individuals. 00:04:38.000 --> 00:04:40.199 This isn't just about your individual farm's 00:04:40.199 --> 00:04:43.399 labor pool. It's a systemic vulnerability. It 00:04:43.399 --> 00:04:47.060 exposes many producers to shifts in immigration 00:04:47.060 --> 00:04:50.620 policy, labor availability, or even local sentiment 00:04:50.620 --> 00:04:53.360 in really profound ways. We're talking about 00:04:53.360 --> 00:04:55.920 the backbone of the industry here, and that makes 00:04:55.920 --> 00:04:59.259 any instability incredibly concerning. That dependency 00:04:59.259 --> 00:05:02.480 is a truly critical point. It just underscores 00:05:02.480 --> 00:05:04.819 the delicate balance the industry operates on. 00:05:04.939 --> 00:05:06.699 And then, like you said, the article just hits 00:05:06.699 --> 00:05:08.740 you with the numbers. It's one thing to feel 00:05:08.740 --> 00:05:11.259 the pressure, but to see it quantified. Well, 00:05:11.420 --> 00:05:14.759 the latest farm survey data, that's the Farmers 00:05:14.759 --> 00:05:16.740 Assuring Responsible Management Program, which 00:05:16.740 --> 00:05:18.540 gives us some really comprehensive insights, 00:05:18.779 --> 00:05:20.860 indicates an annual turnover of approximately 00:05:20.860 --> 00:05:24.540 39 percent across participating dairies. 39 percent. 00:05:24.600 --> 00:05:27.199 Nearly four out of 10 workers leaving every single 00:05:27.199 --> 00:05:29.120 year. Let's just. you know, take a moment to 00:05:29.120 --> 00:05:31.319 let that sink in. That's not merely a statistic 00:05:31.319 --> 00:05:33.699 that represents constant disruption, perpetual 00:05:33.699 --> 00:05:36.399 instability, and frankly, outright chaos in the 00:05:36.399 --> 00:05:38.779 day -to -day operations. Imagine you have a team 00:05:38.779 --> 00:05:41.620 of 10, maybe 12 people working on your dairy. 00:05:41.759 --> 00:05:44.079 If four of those faces are changing every single 00:05:44.079 --> 00:05:46.399 year, that means you're almost constantly integrating 00:05:46.399 --> 00:05:49.100 new individuals, bringing them up to speed, managing 00:05:49.100 --> 00:05:51.379 the gaps left by those who departed. It creates 00:05:51.379 --> 00:05:54.850 an environment of just... Constant churn makes 00:05:54.850 --> 00:05:57.470 it incredibly difficult to achieve and maintain 00:05:57.470 --> 00:06:01.050 optimal efficiency or consistency or even a cohesive 00:06:01.050 --> 00:06:04.029 team culture. Exactly. And for a dairy where 00:06:04.029 --> 00:06:06.670 consistency in routines, animal health, milking 00:06:06.670 --> 00:06:09.149 practices, all of that is paramount. This level 00:06:09.149 --> 00:06:12.009 of churn signifies a profound underlying systemic 00:06:12.009 --> 00:06:15.329 vulnerability, one that many farmers understandably 00:06:15.329 --> 00:06:17.810 focused on more visible immediate costs might 00:06:17.810 --> 00:06:20.470 tragically overlook. It's a foundational issue 00:06:20.470 --> 00:06:22.569 impacting every single aspect of the business. 00:06:23.120 --> 00:06:25.220 And this constant churn isn't just about the 00:06:25.220 --> 00:06:27.360 immediate loss of a worker, right? The article 00:06:27.360 --> 00:06:29.939 vividly illustrates how the true expense really 00:06:29.939 --> 00:06:32.899 starts to compound, quietly eroding your bottom 00:06:32.899 --> 00:06:35.720 line in ways you might not even realize. It's 00:06:35.720 --> 00:06:38.540 far more than just a warm body leaving. The ripple 00:06:38.540 --> 00:06:41.120 effects are significant, extending far beyond 00:06:41.120 --> 00:06:43.560 just needing to replace someone. There's emerging 00:06:43.560 --> 00:06:45.920 research from Cornell's Agricultural Workforce 00:06:45.920 --> 00:06:48.769 Program. It suggests that even modest turnover 00:06:48.769 --> 00:06:51.610 correlates with 1 -2 % drops in milk production. 00:06:51.889 --> 00:06:54.730 1 -2%. Now on paper, that might sound small, 00:06:54.870 --> 00:06:57.529 almost negligible maybe. Yeah, seems small. But 00:06:57.529 --> 00:06:59.410 for a dairy farmer listening right now, thinking 00:06:59.410 --> 00:07:01.610 about their hundreds or maybe thousands of cows 00:07:01.610 --> 00:07:05.350 over a full year, that adds up to a substantial 00:07:05.350 --> 00:07:10.050 measurable volume of lost milk. Absolutely. And 00:07:10.050 --> 00:07:12.490 consequently, a very real and significant amount 00:07:12.490 --> 00:07:14.389 of lost revenue. And it's not just production, 00:07:14.430 --> 00:07:16.949 though, right? It permeates animal health. Exactly. 00:07:17.250 --> 00:07:20.189 More sick calves, higher cow mortality. These 00:07:20.189 --> 00:07:22.430 aren't abstract consequences that you can just 00:07:22.430 --> 00:07:24.850 dismiss. They show up directly in your butterfat 00:07:24.850 --> 00:07:27.110 tests, which might be lower due to inconsistent 00:07:27.110 --> 00:07:29.970 milking routines or maybe inconsistent cooling 00:07:29.970 --> 00:07:33.089 or a whole host of related factors. And certainly 00:07:33.089 --> 00:07:35.110 they show up in your vet bills. Oh, definitely. 00:07:35.680 --> 00:07:38.040 Increased health issues demand more attention, 00:07:38.360 --> 00:07:41.000 more medication, more intervention. These are 00:07:41.000 --> 00:07:43.740 tangible, costly outcomes, ones that often get 00:07:43.740 --> 00:07:46.800 attributed to other things. Bad luck or the weather 00:07:46.800 --> 00:07:50.420 or just a tough season masking the true culprit. 00:07:51.120 --> 00:07:53.899 workforce instability. Yeah, it's that insidious 00:07:53.899 --> 00:07:56.839 cost that hides in plain sight. It just erodes 00:07:56.839 --> 00:07:59.379 efficiency and profitability without a clear 00:07:59.379 --> 00:08:01.500 line item on the ledger. It gets even worse, 00:08:01.540 --> 00:08:03.439 though, when you factor in the seasonal swings. 00:08:03.560 --> 00:08:06.259 That introduces this whole other layer of unpredictability. 00:08:06.459 --> 00:08:09.019 The article mentions some regions reporting monthly 00:08:09.019 --> 00:08:11.860 turnover spiking to an alarming 20 % during peak 00:08:11.860 --> 00:08:15.079 stress periods. 20 % in a month. Yeah. Specifically, 00:08:15.399 --> 00:08:18.160 April, when everyone is scrambling for fieldwork, 00:08:18.319 --> 00:08:20.779 needing extra hands and attention for crops. 00:08:21.000 --> 00:08:23.819 And then again in July, when that oppressive 00:08:23.819 --> 00:08:26.959 summer heat becomes almost unbearable for outdoor 00:08:26.959 --> 00:08:29.360 work and the cows themselves are under incredible 00:08:29.360 --> 00:08:33.139 stress. Right. Imagine trying to run efficient. 00:08:33.799 --> 00:08:36.539 tightly managed operations when one in five workers 00:08:36.539 --> 00:08:38.799 might just disappear in a single month. It's 00:08:38.799 --> 00:08:40.919 nuts. This isn't just a scheduling headache. 00:08:41.100 --> 00:08:43.539 It directly impacts consistent milking routines, 00:08:43.740 --> 00:08:46.299 which stresses cows and can affect milk quality. 00:08:46.519 --> 00:08:48.960 It means essential maintenance might get postponed, 00:08:49.320 --> 00:08:51.740 leading to unexpected equipment breakdowns that 00:08:51.740 --> 00:08:54.600 cost you even more in repairs and downtime. And 00:08:54.600 --> 00:08:56.820 your experienced staff, they're not only maybe 00:08:56.820 --> 00:08:59.039 training new hires, but they're also covering 00:08:59.039 --> 00:09:01.379 double shifts, working longer hours. Leading 00:09:01.379 --> 00:09:04.529 to burnout. Exactly. severe burnout and potentially 00:09:04.529 --> 00:09:06.529 their departure, creating this vicious cycle 00:09:06.529 --> 00:09:08.950 of instability. Yeah, the ability to plan for 00:09:08.950 --> 00:09:11.429 herd health, breeding cycles, or even just daily 00:09:11.429 --> 00:09:13.710 milking consistency becomes incredibly difficult 00:09:13.710 --> 00:09:15.690 when your most crucial asset, your people, is 00:09:15.690 --> 00:09:17.750 constantly in flux, especially during those really 00:09:17.750 --> 00:09:20.590 critical periods. And that constant turnover 00:09:20.590 --> 00:09:23.730 doesn't just create operational chaos. It's where 00:09:23.730 --> 00:09:26.450 the actual financial expense truly starts to 00:09:26.450 --> 00:09:29.570 compound. It becomes a profound opportunity cost. 00:09:30.149 --> 00:09:32.409 It's not just the immediate vacancy that costs 00:09:32.409 --> 00:09:34.649 you. It's the whole process of getting someone 00:09:34.649 --> 00:09:37.460 new up to speed. The article states that new 00:09:37.460 --> 00:09:39.559 hires take a significant amount of time to reach 00:09:39.559 --> 00:09:42.179 full productivity, a staggering three to six 00:09:42.179 --> 00:09:44.240 months. Three to six months. That's a quarter 00:09:44.240 --> 00:09:46.139 to half a year. Right. A quarter half a year 00:09:46.139 --> 00:09:47.799 where they're not fully contributing, maybe still 00:09:47.799 --> 00:09:50.159 making mistakes or just working slower than an 00:09:50.159 --> 00:09:52.980 experienced hand. And during that extended learning 00:09:52.980 --> 00:09:55.360 curve, your experienced workers get pulled away 00:09:55.360 --> 00:09:58.419 from their primary duties. They spend up to 30 00:09:58.419 --> 00:10:00.960 percent of their time training newcomers. 30 00:10:00.960 --> 00:10:03.570 percent. Think about that for a moment. 30 % 00:10:03.570 --> 00:10:05.429 of your most skilled, most efficient staff's 00:10:05.429 --> 00:10:07.710 time is diverted to entry -level training. It's 00:10:07.710 --> 00:10:10.330 a huge hidden labor cost. A direct opportunity 00:10:10.330 --> 00:10:12.970 cost where your best people aren't maximizing 00:10:12.970 --> 00:10:15.029 their core value to the farm because they're 00:10:15.029 --> 00:10:17.590 essentially acting as temporary educators. It's 00:10:17.590 --> 00:10:19.730 like having your top milker, you know, the one 00:10:19.730 --> 00:10:21.870 who knows every cow in the parlor and can spot 00:10:21.870 --> 00:10:24.830 a mastitis case from 20 paces. Yeah. Spending 00:10:24.830 --> 00:10:27.269 hours each day showing someone how to attach 00:10:27.269 --> 00:10:29.669 milkers properly instead of focusing on the intricacies 00:10:29.669 --> 00:10:32.830 of herd health or maximizing output. Exactly. 00:10:32.830 --> 00:10:35.450 That's precious, highly skilled labor being used 00:10:35.450 --> 00:10:38.409 for basic instruction. And it's a drain on efficiency 00:10:38.409 --> 00:10:41.929 that often just goes unmeasured. So if you meticulously 00:10:41.929 --> 00:10:44.870 put all these factors together, the direct costs 00:10:44.870 --> 00:10:47.350 of recruiting new talent, the significant investment 00:10:47.350 --> 00:10:49.970 in training, the ongoing losses from reduced 00:10:49.970 --> 00:10:52.710 productivity while new hires learn, the potential 00:10:52.710 --> 00:10:55.429 for equipment damage from inexperienced hands, 00:10:55.570 --> 00:10:57.950 and those subtle but very real quality issues 00:10:57.950 --> 00:11:00.789 that can arise. Cornell Extension's comprehensive 00:11:00.789 --> 00:11:03.610 cost analysis framework paints a really stark 00:11:03.610 --> 00:11:06.210 picture. It estimates the total financial impact 00:11:06.210 --> 00:11:09.889 at a staggering $15 ,000 to $25 ,000 per department. 00:11:09.899 --> 00:11:34.190 $15 ,000 to $25 ,000 per worker. Closer to the 00:11:34.190 --> 00:11:37.570 higher end, $25 ,000 per worker. That's a whopping 00:11:37.570 --> 00:11:41.149 $200 ,000. That's potentially six -figure annual 00:11:41.149 --> 00:11:43.750 losses. Right. Losses that often aren't explicitly 00:11:43.750 --> 00:11:45.769 on the balance sheet. They're not a line item 00:11:45.769 --> 00:11:48.509 like feed or fuel. They're absorbed as lower 00:11:48.509 --> 00:11:50.889 overall profits, higher operating costs, or maybe 00:11:50.889 --> 00:11:52.970 just unexplained dips in performance. It's not 00:11:52.970 --> 00:11:55.269 just a line item. It's a profound opportunity 00:11:55.269 --> 00:11:57.990 cost. Imagine the strategic investments you could 00:11:57.990 --> 00:12:00.519 make. Maybe that new parlor tech, an upgraded 00:12:00.519 --> 00:12:02.940 cooling system, even expanding your herd. If 00:12:02.940 --> 00:12:05.419 you weren't constantly bleeding $15 ,000 to $25 00:12:05.419 --> 00:12:08.100 ,000 for every worker who leaves. Exactly. Instead 00:12:08.100 --> 00:12:10.279 of proactively growing your operation, you're 00:12:10.279 --> 00:12:12.399 perpetually playing catch -up, pouring capital 00:12:12.399 --> 00:12:14.399 into this revolving door of recruitment and training, 00:12:14.580 --> 00:12:17.059 effectively siphoning off funds that could drive 00:12:17.059 --> 00:12:18.840 real progress and long -term sustainability. 00:12:19.529 --> 00:12:22.269 It highlights just how critical it is for producers 00:12:22.269 --> 00:12:26.090 to recognize these untracked but very real costs. 00:12:26.350 --> 00:12:29.230 They significantly impact the farm's bottom line 00:12:29.230 --> 00:12:32.309 and, well, long -term sustainability. It's truly 00:12:32.309 --> 00:12:37.100 an invisible drain. geography demographics and 00:12:37.100 --> 00:12:39.379 the reshaping dairy map so understanding these 00:12:39.379 --> 00:12:41.899 immense costs is really only the first step right 00:12:41.899 --> 00:12:43.799 the next is recognizing how these challenges 00:12:43.799 --> 00:12:46.299 manifest differently depending on where you operate 00:12:46.299 --> 00:12:49.500 and that brings us to the fascinating and often 00:12:49.500 --> 00:12:52.629 overlooked role of geography. What really strikes 00:12:52.629 --> 00:12:54.769 me about this workforce crisis, as the article 00:12:54.769 --> 00:12:57.129 points out, is how differently it plays out depending 00:12:57.129 --> 00:12:59.490 on where you farm. It's not just about the obvious 00:12:59.490 --> 00:13:01.710 things like, you know, average wages or the local 00:13:01.710 --> 00:13:03.629 cost of living dictating labor availability. 00:13:03.950 --> 00:13:06.450 There are deeper structural differences. Yeah, 00:13:06.490 --> 00:13:08.889 based on regional history and agricultural practices 00:13:08.889 --> 00:13:11.549 that create this complex mosaic across the country. 00:13:11.730 --> 00:13:13.929 And the article breaks this down regionally, 00:13:13.970 --> 00:13:16.470 painting a fascinating if sometimes challenging 00:13:16.470 --> 00:13:19.759 picture. In traditional dairy states like say, 00:13:19.899 --> 00:13:23.559 Wisconsin and New York, USDA data shows immigrant 00:13:23.559 --> 00:13:25.919 workers typically make up a significant portion, 00:13:26.179 --> 00:13:28.620 somewhere between 50 -70 % of the workforce. 00:13:28.980 --> 00:13:31.000 Right, a long -standing critical component there. 00:13:31.159 --> 00:13:34.419 Exactly. Deeply integrated into the fabric of 00:13:34.419 --> 00:13:37.259 dairy farming for generations. But if you head 00:13:37.259 --> 00:13:40.120 west to the large, confined operations, places 00:13:40.120 --> 00:13:43.919 like Idaho or California's Central Valley, University 00:13:43.919 --> 00:13:46.379 of Minnesota Extension research indicates those 00:13:46.379 --> 00:13:48.879 percentages climb even higher, to a staggering 00:13:48.879 --> 00:13:52.419 70 -90%. 70 -90%. That's almost the entire workforce 00:13:52.419 --> 00:13:54.820 in some cases. It really is. And this extreme 00:13:54.820 --> 00:13:57.240 concentration creates different levels of reliance 00:13:57.240 --> 00:13:59.340 and consequently different levels of vulnerability. 00:13:59.740 --> 00:14:02.139 A state like New York might feel the pinch of 00:14:02.139 --> 00:14:04.519 labor shortages and high turnover, sure. But 00:14:04.519 --> 00:14:07.379 a large Western dairy could face, well, existential 00:14:07.379 --> 00:14:10.100 threats if that labor pool is disrupted. Because 00:14:10.100 --> 00:14:12.580 their entire operational model, their very survival 00:14:12.580 --> 00:14:15.340 is built upon it. Right. It means solutions that 00:14:15.340 --> 00:14:17.200 might work in one region could be completely 00:14:17.200 --> 00:14:19.379 inadequate or even counterproductive for another. 00:14:19.960 --> 00:14:22.419 Underscores the need for tailored, localized 00:14:22.419 --> 00:14:25.440 strategies. And this concentration of immigrant 00:14:25.440 --> 00:14:28.000 labor becomes even more pronounced on those really 00:14:28.000 --> 00:14:31.039 large operations. The article specifically mentions 00:14:31.039 --> 00:14:34.899 those 1 ,000 plus cow dairies that now dominate 00:14:34.899 --> 00:14:37.500 milk production in many areas. These aren't just 00:14:37.500 --> 00:14:40.519 bigger farms in terms of land or herd size. They've 00:14:40.519 --> 00:14:43.259 essentially built their entire. labor model, 00:14:43.360 --> 00:14:46.419 their operational DNA around experienced immigrant 00:14:46.419 --> 00:14:50.000 workers. And what's crucial here, and often undervalued, 00:14:50.039 --> 00:14:52.220 is that many of these workers bring generational 00:14:52.220 --> 00:14:54.850 dairy knowledge from their home countries. That's 00:14:54.850 --> 00:14:56.830 a really interesting point. Not just labor, but 00:14:56.830 --> 00:14:59.149 inherited knowledge. Exactly. This isn't just 00:14:59.149 --> 00:15:01.009 about having someone available to do the work. 00:15:01.090 --> 00:15:03.370 It's about having individuals with an innate 00:15:03.370 --> 00:15:06.590 inherited understanding of cow behavior, nuanced 00:15:06.590 --> 00:15:09.870 animal husbandry, highly efficient milking practices 00:15:09.870 --> 00:15:12.970 passed down through families for decades. That's 00:15:12.970 --> 00:15:15.230 a unique and incredibly valuable asset. You just 00:15:15.230 --> 00:15:17.710 can't replicate overnight with a quick training 00:15:17.710 --> 00:15:20.720 program. Absolutely not. So the impact of losing 00:15:20.720 --> 00:15:22.879 these experienced workers isn't just finding 00:15:22.879 --> 00:15:26.039 a replacement body, it's the loss of deep inherited 00:15:26.039 --> 00:15:29.299 expertise. A kind of institutional knowledge 00:15:29.299 --> 00:15:32.019 that's almost impossible to quantify, but makes 00:15:32.019 --> 00:15:35.059 a palpable difference in herd health and productivity. 00:15:35.440 --> 00:15:37.779 Creates an even greater vulnerability for these 00:15:37.779 --> 00:15:40.500 mega -dairies then. Their workforce's collective 00:15:40.500 --> 00:15:43.299 knowledge is truly indispensable. making labor 00:15:43.299 --> 00:15:46.019 stability a real make -or -break factor. And 00:15:46.019 --> 00:15:48.980 if that wasn't complex enough, climate adds another 00:15:48.980 --> 00:15:52.399 fascinating and often ignored layer to this labor 00:15:52.399 --> 00:15:55.179 dynamic. It's not just personal preference. It 00:15:55.179 --> 00:15:57.980 fundamentally shifts labor availability and retention. 00:15:58.419 --> 00:16:01.360 Think about it. The intense summer heat in places 00:16:01.360 --> 00:16:03.679 like Arizona and Southern California. Oh, yeah. 00:16:04.000 --> 00:16:06.139 Brutal. It creates working conditions that quite 00:16:06.139 --> 00:16:08.299 literally drive seasonal workforce migration 00:16:08.299 --> 00:16:12.120 towards indoor jobs. Workers, quite understandably, 00:16:12.200 --> 00:16:14.639 seek environments that are less physically demanding, 00:16:14.919 --> 00:16:17.419 safer, more comfortable during those heat waves 00:16:17.419 --> 00:16:19.720 that can last for months. Makes sense. Conversely, 00:16:19.720 --> 00:16:22.320 brutal winters in the northern tier. We're talking 00:16:22.320 --> 00:16:24.659 places where temperatures can plummet well below 00:16:24.659 --> 00:16:26.799 freezing for extended periods that can trigger 00:16:26.799 --> 00:16:29.929 departures if farmhousing isn't adequate. Right. 00:16:30.049 --> 00:16:33.169 If workers are living in substandard, unheated 00:16:33.169 --> 00:16:35.610 or overcrowded conditions during freezing temperatures, 00:16:35.850 --> 00:16:38.850 facing harsh outdoor work, they're simply not 00:16:38.850 --> 00:16:41.059 going to stay. They'll seek opportunities elsewhere 00:16:41.059 --> 00:16:43.500 with better living and working conditions. So 00:16:43.500 --> 00:16:46.179 this constant push and pull based on environmental 00:16:46.179 --> 00:16:49.240 factors means that even if a farm offers competitive 00:16:49.240 --> 00:16:51.860 wages and excellent benefits, it still has to 00:16:51.860 --> 00:16:53.659 contend with these natural forces influencing 00:16:53.659 --> 00:16:56.600 labor stability. Exactly. It illustrates how 00:16:56.600 --> 00:16:59.399 external, largely uncontrollable factors like 00:16:59.399 --> 00:17:01.919 weather significantly influence labor availability 00:17:01.919 --> 00:17:05.019 and stability, demanding highly localized, often 00:17:05.019 --> 00:17:07.599 incredibly creative solutions to retain staff. 00:17:07.960 --> 00:17:10.470 It's a battle against both economics and the 00:17:10.470 --> 00:17:12.809 elements. So the result of all these interconnected 00:17:12.809 --> 00:17:16.190 factors, the regional reliance on immigrant labor, 00:17:16.390 --> 00:17:19.490 the concentration of expertise on larger operations, 00:17:19.730 --> 00:17:22.769 and the relentless influence of climate. As the 00:17:22.769 --> 00:17:25.170 article concludes, American dairy's geographic 00:17:25.170 --> 00:17:28.250 footprint is quietly and profoundly reshaping 00:17:28.250 --> 00:17:31.230 itself around workforce availability. It's not 00:17:31.230 --> 00:17:33.910 just an abstract economic trend. It's a visible, 00:17:33.990 --> 00:17:36.809 tangible transformation of the industry landscape 00:17:36.809 --> 00:17:39.759 happening right now. Operations are expanding 00:17:39.759 --> 00:17:42.000 where labor is accessible, stable, and affordable. 00:17:42.200 --> 00:17:44.359 And simultaneously consolidating, shrinking, 00:17:44.500 --> 00:17:46.480 or even shutting down where it's not? Right. 00:17:46.680 --> 00:17:49.240 Regions with a stable, available, often experienced 00:17:49.240 --> 00:17:52.680 workforce are seeing growth and investment. Areas 00:17:52.680 --> 00:17:54.900 struggling with chronic labor shortages are witnessing 00:17:54.900 --> 00:17:58.099 farms downsize, get forced into premature automation, 00:17:58.420 --> 00:18:01.539 or sadly, cease operations entirely. This isn't 00:18:01.539 --> 00:18:03.559 just local economics. It's a macro -level shift 00:18:03.559 --> 00:18:05.779 in the industry, directly linked back to that 00:18:05.779 --> 00:18:08.000 foundational reliance on immigrant labor and 00:18:08.000 --> 00:18:10.079 the challenges tied to its availability and retention. 00:18:10.480 --> 00:18:12.940 It really underscores that understanding these 00:18:12.940 --> 00:18:15.859 demographic and geographic realities is paramount 00:18:15.859 --> 00:18:18.940 for any dairy producer planning for the future. 00:18:19.319 --> 00:18:21.940 Ignoring these shifts isn't an option anymore. 00:18:22.420 --> 00:18:26.400 Adapting is crucial for survival. Now, in almost 00:18:26.400 --> 00:18:28.799 every conversation about dairy labor, the topic 00:18:28.799 --> 00:18:32.180 inevitably shifts to automation, right? Specifically 00:18:32.180 --> 00:18:35.089 robotic milking. And the article gives us some 00:18:35.089 --> 00:18:37.069 solid numbers on that, showing there's clearly 00:18:37.069 --> 00:18:39.589 significant momentum and investment building. 00:18:40.049 --> 00:18:42.990 The global robotic milking market reached about 00:18:42.990 --> 00:18:47.210 $2 .5 billion in 2025, with North America accounting 00:18:47.210 --> 00:18:50.089 for around 30 % of that total. Yeah, it's a huge 00:18:50.089 --> 00:18:52.549 investment for the industry. And many see it 00:18:52.549 --> 00:18:54.930 as the answer, maybe a silver bullet, to their 00:18:54.930 --> 00:18:57.150 persistent labor woes. But the article really 00:18:57.150 --> 00:18:59.450 dives into the nuance there, doesn't it? Absolutely. 00:18:59.549 --> 00:19:01.630 There's a lot of excitement and investment around 00:19:01.630 --> 00:19:04.740 automation. reason it offers incredible potential. 00:19:05.180 --> 00:19:07.839 But this is where the article gets brutally honest 00:19:07.839 --> 00:19:09.720 about the economics, and it's a critical point 00:19:09.720 --> 00:19:11.380 for you listening, cutting through some of the 00:19:11.380 --> 00:19:13.559 marketing hype that often surrounds new technologies. 00:19:13.819 --> 00:19:16.519 Right, those glossy brochures. Exactly. They 00:19:16.519 --> 00:19:19.240 often promise incredibly short two, three -year 00:19:19.240 --> 00:19:21.799 paybacks, making the decision seem like a no 00:19:21.799 --> 00:19:24.279 -brainer, a quick fix to escalating labor costs. 00:19:24.799 --> 00:19:27.619 However, joint analyses from highly respected 00:19:27.619 --> 00:19:30.079 Minnesota and Wisconsin dairy extension programs 00:19:30.079 --> 00:19:33.299 consistently show much more realistic timelines, 00:19:33.579 --> 00:19:36.339 like five, seven years under typical operating 00:19:36.339 --> 00:19:38.799 conditions. Five to seven years versus two to 00:19:38.799 --> 00:19:40.720 three, that's a significant difference, needs 00:19:40.720 --> 00:19:43.099 to be deeply factored into any serious financial 00:19:43.099 --> 00:19:45.859 planning. It really does. A two -year payback 00:19:45.859 --> 00:19:48.519 is a revolutionary investment, almost a guaranteed 00:19:48.519 --> 00:19:52.200 win. A seven -year payback is a strategic long 00:19:52.200 --> 00:19:54.740 -term commitment requiring... careful cash flow 00:19:54.740 --> 00:19:57.500 management, and a clear vision. So farmers need 00:19:57.500 --> 00:19:59.660 to manage their expectations against this robust 00:19:59.660 --> 00:20:02.180 data. Understanding the real return on investment 00:20:02.180 --> 00:20:04.980 takes considerably longer than often advertised. 00:20:05.279 --> 00:20:08.160 It's planning for a marathon, not a sprint. And 00:20:08.160 --> 00:20:10.099 having the financial fortitude to see it through. 00:20:10.240 --> 00:20:12.259 And it's not just about the payback period either. 00:20:12.420 --> 00:20:14.420 The article notes those shorter paybacks, the 00:20:14.420 --> 00:20:16.690 ones that seem almost too good to be true. They 00:20:16.690 --> 00:20:19.410 only happen under very specific, almost ideal 00:20:19.410 --> 00:20:22.329 circumstances. We're talking operations with 00:20:22.329 --> 00:20:24.910 extremely high labor costs to begin with, almost 00:20:24.910 --> 00:20:27.930 a perfect storm of economic pressure. Then you 00:20:27.930 --> 00:20:30.430 need perfect cow adaptation to the new robotic 00:20:30.430 --> 00:20:33.049 systems, which, as any producer knows, isn't 00:20:33.049 --> 00:20:35.470 always a given. Cows are creatures of habit. 00:20:35.900 --> 00:20:38.539 Change can be stressful. Definitely. And finally, 00:20:38.619 --> 00:20:41.579 you need exceptional top -tier management to 00:20:41.579 --> 00:20:44.200 implement and optimize the technology flawlessly 00:20:44.200 --> 00:20:47.059 from day one. So for most operations, the reality 00:20:47.059 --> 00:20:49.700 is a much bumpier road. Yeah, it highlights that 00:20:49.700 --> 00:20:52.380 automation isn't a magic bullet solving all problems. 00:20:52.519 --> 00:20:54.619 It requires a confluence of highly favorable 00:20:54.619 --> 00:20:57.980 conditions, significant investment, and masterful 00:20:57.980 --> 00:21:00.180 execution to achieve those expedited returns. 00:21:00.579 --> 00:21:03.359 Not typical for the average dairy producer. It's 00:21:03.359 --> 00:21:05.380 a sophisticated tool demanding sophistication. 00:21:05.259 --> 00:21:07.880 planning. And bumpy is truly an understatement 00:21:07.880 --> 00:21:09.799 for some. This is where the real -world impact 00:21:09.799 --> 00:21:12.680 comes in. Multiple case studies from 2022 to 00:21:12.680 --> 00:21:15.160 2024 document initial production volatility. 00:21:15.599 --> 00:21:18.259 Some farms experienced significant drops of 8 00:21:18.259 --> 00:21:20.960 -15 % during the first year, as both cows and 00:21:20.960 --> 00:21:23.880 operators are jabbed. 8 -15 % drop, that's not 00:21:23.880 --> 00:21:26.559 a minor blip you can just absorb easily. That 00:21:26.559 --> 00:21:29.140 can be financially crippling short term, especially 00:21:29.140 --> 00:21:31.380 when you're making a massive capital investment. 00:21:31.680 --> 00:21:34.400 Exactly. One producer memorably described it 00:21:34.400 --> 00:21:37.910 to the author as Like teaching calculus to cows 00:21:37.910 --> 00:21:41.910 while learning it yourself. That paints a vivid 00:21:41.910 --> 00:21:43.690 picture, doesn't it? It really does. It captures 00:21:43.690 --> 00:21:46.490 the dual challenge. Getting the animals to comfortably 00:21:46.490 --> 00:21:49.230 adapt to a completely new routine, different 00:21:49.230 --> 00:21:52.369 milking intervals, procedures, while simultaneously 00:21:52.369 --> 00:21:55.930 training your existing team to operate and troubleshoot 00:21:55.930 --> 00:21:59.089 sophisticated new technology, often in real time, 00:21:59.230 --> 00:22:01.900 under pressure. So that initial dip in production 00:22:01.900 --> 00:22:04.339 is a crucial consideration, often overlooked 00:22:04.339 --> 00:22:06.819 in the excitement, requires robust financial 00:22:06.819 --> 00:22:09.420 planning and realistic expectations to weather 00:22:09.420 --> 00:22:12.019 that introductory period. It's a transition, 00:22:12.259 --> 00:22:14.500 not an immediate switch. Precisely. But here's 00:22:14.500 --> 00:22:16.480 what's truly interesting, and a point the article 00:22:16.480 --> 00:22:19.259 makes very well. Successful automation doesn't 00:22:19.259 --> 00:22:21.940 eliminate labor needs. It fundamentally transforms 00:22:21.940 --> 00:22:24.420 them. It's not about fewer people. It's about 00:22:24.420 --> 00:22:26.619 a different skill set entirely. That's a key 00:22:26.619 --> 00:22:30.000 insight. You shift from needing experienced milkers 00:22:30.000 --> 00:22:32.480 who understand cow behavior, who can manually 00:22:32.480 --> 00:22:35.619 manage the parlor with an intuitive touch, to 00:22:35.619 --> 00:22:37.660 meeting highly skilled technical specialists. 00:22:37.980 --> 00:22:40.339 These individuals must be able to troubleshoot 00:22:40.339 --> 00:22:43.119 complex sensors, interpret sophisticated data 00:22:43.119 --> 00:22:46.099 analytics flowing from the robots, manage entire 00:22:46.099 --> 00:22:49.619 automated systems operating 24 -7. It's a profound 00:22:49.619 --> 00:22:52.130 shift. Requires different training programs, 00:22:52.329 --> 00:22:54.170 new recruitment strategies to track different 00:22:54.170 --> 00:22:56.309 talent, potentially even higher skilled wages 00:22:56.309 --> 00:22:58.750 to secure and retain these technical experts. 00:22:59.089 --> 00:23:01.269 Impacts the overall labor strategy for the entire 00:23:01.269 --> 00:23:04.049 farm. It's a move from relying heavily on physical 00:23:04.049 --> 00:23:07.230 labor and intuition to intellectual labor and 00:23:07.230 --> 00:23:10.009 technical acumen. Has profound implications for 00:23:10.009 --> 00:23:12.289 how farms build, manage, and compensate their 00:23:12.289 --> 00:23:14.789 teams. It's not a reduction in labor, but an 00:23:14.789 --> 00:23:17.009 evolution. Exactly. And that leads us neatly 00:23:17.009 --> 00:23:19.599 from technology to policy. Because even with 00:23:19.599 --> 00:23:21.440 the most advanced automation, you still need 00:23:21.440 --> 00:23:24.079 skilled people. Which brings us to an unavoidable, 00:23:24.079 --> 00:23:25.960 often frustrating part of this conversation, 00:23:26.240 --> 00:23:29.039 the broader policy landscape. Ah, yes, the elephant 00:23:29.039 --> 00:23:31.160 in the room. You got it. Federal immigration 00:23:31.160 --> 00:23:34.359 policy and how profoundly it continues to impact 00:23:34.359 --> 00:23:37.019 dairy's labor challenges. The article doesn't 00:23:37.019 --> 00:23:40.140 shy away from it. It states, unequivocally, that 00:23:40.140 --> 00:23:42.339 current policy remains completely disconnected 00:23:42.339 --> 00:23:44.759 from the operational reality of dairy farming. 00:23:45.710 --> 00:23:48.069 Specifically, the H -2A program, which certified 00:23:48.069 --> 00:23:52.109 nearly 385 ,000 positions across various ag sectors 00:23:52.109 --> 00:23:55.789 in 2024, is virtually useless for year -round 00:23:55.789 --> 00:23:58.529 dairy operations. Why is that? What's the fundamental 00:23:58.529 --> 00:24:02.470 mismatch? The flaw lies in its design. It was 00:24:02.470 --> 00:24:04.750 created decades ago, tailored for seasonal crop 00:24:04.750 --> 00:24:07.230 work, like harvesting a field that only needs 00:24:07.230 --> 00:24:09.690 labor for a few months a year. It simply cannot 00:24:09.690 --> 00:24:12.220 accommodate the continuous... biological requirements 00:24:12.220 --> 00:24:14.960 of dairy farming cows don't take vacations, right? 00:24:15.059 --> 00:24:16.880 They don't operate on a seasonal schedule. No, 00:24:16.960 --> 00:24:19.839 they need milking twice daily, 365 days a year, 00:24:19.900 --> 00:24:22.519 regardless of season, policy limits, or bureaucratic 00:24:22.519 --> 00:24:25.380 delays. Exactly. This inherent mismatch makes 00:24:25.380 --> 00:24:27.240 the program an ineffective, almost irrelevant 00:24:27.240 --> 00:24:30.019 tool for a sector requiring continuous, reliable 00:24:30.019 --> 00:24:32.500 labor. It creates immense frustration for producers 00:24:32.500 --> 00:24:34.599 trying to operate legally. And it's not just 00:24:34.599 --> 00:24:37.400 inadequate. The administrative burdens and processing 00:24:37.400 --> 00:24:39.960 delays make an already flawed system actively 00:24:39.960 --> 00:24:42.700 harmful. The article highlights that even when 00:24:42.700 --> 00:24:45.819 farms try to use H -2A, workers often arrive 00:24:45.819 --> 00:24:47.980 weeks after they're desperately needed, if they 00:24:47.980 --> 00:24:50.319 arrive at all. due to bureaucratic bottlenecks, 00:24:50.359 --> 00:24:53.240 slow processing, complex logistics. Right. And 00:24:53.240 --> 00:24:55.440 when you're milking twice daily, regardless of 00:24:55.440 --> 00:24:58.700 staffing problems, these delays aren't just inconvenient 00:24:58.700 --> 00:25:01.680 or a minor scheduling hiccup. They're operationally 00:25:01.680 --> 00:25:05.019 catastrophic. Absolutely. Imagine having a critical 00:25:05.019 --> 00:25:07.900 position open for weeks, existing staff stretched 00:25:07.900 --> 00:25:11.059 thin, exhausted, covering extra shifts, knowing 00:25:11.059 --> 00:25:13.559 relief is theoretically coming, but constantly 00:25:13.559 --> 00:25:15.920 delayed by red tape. Directly impacts animal 00:25:15.920 --> 00:25:18.240 welfare, production consistency, team morale. 00:25:18.720 --> 00:25:21.200 leading to burnout and further turnover. It highlights 00:25:21.200 --> 00:25:23.839 a real painful disconnect between policy and 00:25:23.839 --> 00:25:26.500 practice. The theoretical framework just doesn't 00:25:26.500 --> 00:25:28.779 meet the urgent daily living demands of a dairy 00:25:28.779 --> 00:25:31.700 operation. And these policy failures directly 00:25:31.700 --> 00:25:33.940 contribute to those hidden costs of turnover 00:25:33.940 --> 00:25:36.660 we discussed earlier, exacerbating the crisis 00:25:36.660 --> 00:25:38.779 and putting immense pressure on farms trying 00:25:38.779 --> 00:25:41.140 to do things by the book. It's a system that 00:25:41.140 --> 00:25:44.430 actively hinders rather than helps. So, with 00:25:44.430 --> 00:25:46.890 federal policy lagging and automation proving 00:25:46.890 --> 00:25:49.529 to be a longer -term, more complex solution than 00:25:49.529 --> 00:25:52.950 many initially hope, the question becomes, what's 00:25:52.950 --> 00:25:55.470 actually working on the ground? The article pivots 00:25:55.470 --> 00:25:58.250 here, shifting our focus to state -level innovation 00:25:58.250 --> 00:26:01.569 and smart producer strategies, offering a beacon 00:26:01.569 --> 00:26:04.150 of hope and practical pathways forward for those 00:26:04.150 --> 00:26:05.930 feeling the pinch. That's where it gets really 00:26:05.930 --> 00:26:07.930 interesting, showing that where there's a will, 00:26:08.029 --> 00:26:10.150 there's often a way, even in the face of federal 00:26:10.150 --> 00:26:13.009 paralysis. Vermont's Milk with Dignity program 00:26:13.009 --> 00:26:16.130 is highlighted as a prime example, a worker -driven, 00:26:16.250 --> 00:26:18.849 advocacy -supported initiative that now covers 00:26:18.849 --> 00:26:21.170 an impressive 20 % of the state's dairy production. 00:26:21.490 --> 00:26:24.440 20 % is significant. How does it work? Why is 00:26:24.440 --> 00:26:27.180 it successful? Well, it succeeds because it fundamentally 00:26:27.180 --> 00:26:30.519 changes the dynamic. Instead of top -down mandates, 00:26:30.859 --> 00:26:33.039 workers themselves helped write the standards 00:26:33.039 --> 00:26:35.579 for fair labor practices, ensuring they were 00:26:35.579 --> 00:26:38.240 practical and relevant. They then participate 00:26:38.240 --> 00:26:41.140 in monitoring to ensure compliance, giving them 00:26:41.140 --> 00:26:43.759 a voice and a real stake in the process. Okay, 00:26:43.819 --> 00:26:46.740 so worker involvement is key. Absolutely. And 00:26:46.740 --> 00:26:49.240 crucially, participating farms receive economic 00:26:49.240 --> 00:26:51.700 premiums for their involvement. This creates 00:26:51.700 --> 00:26:53.779 a powerful incentive and a win -win scenario 00:26:53.779 --> 00:26:57.160 where worker welfare and farm profitability aren't 00:26:57.160 --> 00:26:59.440 seen as opposing forces, but as complementary 00:26:59.440 --> 00:27:01.779 goals. That makes sense. Aligning incentives. 00:27:02.259 --> 00:27:04.940 It's a testament to the power of community -led 00:27:04.940 --> 00:27:07.400 collaborative solutions when federal action is 00:27:07.400 --> 00:27:09.660 stalled. Shows that empowering those on the front 00:27:09.660 --> 00:27:12.519 lines and incentivizing participation can lead 00:27:12.519 --> 00:27:33.140 to real, impactful change. Like what, for instance? 00:27:33.420 --> 00:27:35.839 For instance, quality housing investments of 00:27:35.839 --> 00:27:39.099 $50 ,000 to $100 ,000 per unit. Now, that's undoubtedly 00:27:39.099 --> 00:27:41.740 a significant upfront capital cost. Sure is. 00:27:41.859 --> 00:27:44.180 But they're demonstrating clear returns through 00:27:44.180 --> 00:27:47.119 substantially reduced turnover. This shows forward 00:27:47.119 --> 00:27:50.000 -thinking farms recognize that providing safe... 00:27:50.140 --> 00:27:52.559 comfortable, dignified living conditions isn't 00:27:52.559 --> 00:27:55.059 just a perk or a humane gesture. It's a strategic 00:27:55.059 --> 00:27:58.140 investment. Exactly. A strategic investment in 00:27:58.140 --> 00:28:00.559 their workforce stability, akin to investing 00:28:00.559 --> 00:28:04.059 in a new tractor or a parlor upgrade. The ROI 00:28:04.059 --> 00:28:06.579 isn't just financial. It's about creating a more 00:28:06.579 --> 00:28:10.119 committed, healthier, stable team, which ultimately 00:28:10.119 --> 00:28:13.059 leads to a more resilient operation, higher productivity, 00:28:13.259 --> 00:28:15.940 and less stress for everyone. Adjusts as a fundamental 00:28:15.940 --> 00:28:18.859 human need and directly impacts an employee's 00:28:18.859 --> 00:28:21.460 decision. to stay or go. Makes perfect sense. 00:28:21.680 --> 00:28:23.740 Even more compelling, operations implementing 00:28:23.740 --> 00:28:26.279 structured career development pathways, offering 00:28:26.279 --> 00:28:28.680 language training, creating genuine advancement 00:28:28.680 --> 00:28:32.000 opportunities. They're reporting a dramatic drop 00:28:32.000 --> 00:28:35.400 in turnover. How dramatic? From over 45 % to 00:28:35.400 --> 00:28:38.240 under 15 % within just two years. Wow, cutting 00:28:38.240 --> 00:28:40.799 turnover by two -thirds. That's huge. It really 00:28:40.799 --> 00:28:43.400 is. That's not just a massive improvement in 00:28:43.400 --> 00:28:46.460 employee satisfaction. It's a direct and powerful 00:28:46.460 --> 00:28:50.799 hit on those staggering $15 ,000, $25 ,000 per 00:28:50.799 --> 00:28:52.779 departed worker costs we talked about earlier. 00:28:53.000 --> 00:28:55.039 Right back to the bottom line. It makes the case 00:28:55.039 --> 00:28:57.140 very clearly that investing in your people's 00:28:57.140 --> 00:28:59.900 growth, skills, and overall well -being isn't 00:28:59.900 --> 00:29:02.740 just good for morale. It's a direct and powerful 00:29:02.740 --> 00:29:05.079 strategy to boost your farm's financial health, 00:29:05.220 --> 00:29:07.599 productivity, and long -term sustainability. 00:29:08.490 --> 00:29:10.430 Demonstrates that when employees see a future 00:29:10.430 --> 00:29:13.730 with your operation, learn new skills, feel valued, 00:29:13.869 --> 00:29:16.569 understand there's a path for growth, they are 00:29:16.569 --> 00:29:18.890 far more likely to stay. Turns that revolving 00:29:18.890 --> 00:29:21.849 door into a stable, highly functional, dedicated 00:29:21.849 --> 00:29:24.789 team. It's about cultivating loyalty and commitment. 00:29:24.950 --> 00:29:28.170 The article then provides a fantastic your Monday 00:29:28.170 --> 00:29:30.410 morning action plan for you listening, offering 00:29:30.410 --> 00:29:32.789 concrete steps you can take right now without 00:29:32.789 --> 00:29:35.269 waiting for policy changes or massive capital 00:29:35.269 --> 00:29:37.880 outweighs. It encourages farmers to start with 00:29:37.880 --> 00:29:40.700 brutal honesty about your vulnerabilities. Brutal 00:29:40.700 --> 00:29:43.579 honesty? What does that entail? It means meticulously 00:29:43.579 --> 00:29:46.000 documenting your current workforce composition. 00:29:46.420 --> 00:29:49.519 Who are your critical personnel? Identifying 00:29:49.519 --> 00:29:52.259 your truly critical positions, the ones that, 00:29:52.299 --> 00:29:55.769 if empty, would cripple your operation. And developing 00:29:55.769 --> 00:29:58.390 emergency protocols for various disruption scenarios. 00:29:58.930 --> 00:30:02.329 Most operations, it says, have no idea how exposed 00:30:02.329 --> 00:30:05.349 they truly are until a crisis hits. So this first 00:30:05.349 --> 00:30:07.730 step isn't about finding a solution. It's about 00:30:07.730 --> 00:30:10.029 deeply understanding the problem you're trying 00:30:10.029 --> 00:30:12.390 to solve and accurately assessing your current 00:30:12.390 --> 00:30:15.190 risk profile. Precisely. Without this honest 00:30:15.190 --> 00:30:17.609 self -assessment, any subsequent action plan 00:30:17.609 --> 00:30:20.170 will be built on shaky ground, leaving you vulnerable. 00:30:20.369 --> 00:30:22.970 It's about facing reality head on. And it's not 00:30:22.970 --> 00:30:25.250 in either situation with technology or people, 00:30:25.369 --> 00:30:27.809 right? That's a common misconception that often 00:30:27.809 --> 00:30:30.769 creates unnecessary internal debate. Spot on. 00:30:30.829 --> 00:30:33.049 The plan wisely suggests planning technology 00:30:33.049 --> 00:30:35.690 adoption in phases alongside comprehensive investments 00:30:35.690 --> 00:30:38.029 and retention. You need both strategies working 00:30:38.029 --> 00:30:40.289 together for long -term resilience. Automation 00:30:40.289 --> 00:30:42.329 can certainly address some labor needs, particularly 00:30:42.329 --> 00:30:45.410 the repetitive, physically demanding tasks. But 00:30:45.410 --> 00:30:48.230 it will never fully replace the need for skilled 00:30:48.839 --> 00:30:51.700 dedicated human talent, especially for nuanced 00:30:51.700 --> 00:30:55.099 animal care or complex system management. So 00:30:55.099 --> 00:30:57.619 rather than choosing one over the other, the 00:30:57.619 --> 00:31:00.079 most resilient and forward -thinking farms integrate 00:31:00.079 --> 00:31:03.279 both strategically, using technology to enhance 00:31:03.279 --> 00:31:05.880 efficiency and reduce strain, while simultaneously 00:31:05.880 --> 00:31:08.779 nurturing, developing, and retaining their invaluable 00:31:08.779 --> 00:31:11.779 human capital. It's about creating a synergistic 00:31:11.779 --> 00:31:14.759 relationship, not a replacement strategy. Tech 00:31:14.759 --> 00:31:17.039 empowers people. People manage tech. Good way 00:31:17.039 --> 00:31:19.309 to put it. Building community partnerships before 00:31:19.309 --> 00:31:21.150 you desperately need them is another key piece 00:31:21.150 --> 00:31:23.910 of advice. Moving from internal assessment to 00:31:23.910 --> 00:31:26.690 external networking and collaboration. The article 00:31:26.690 --> 00:31:28.750 suggests establishing proactive relationships 00:31:28.750 --> 00:31:31.009 with neighboring operations for potential labor 00:31:31.009 --> 00:31:33.730 sharing during peak times, unexpected absences, 00:31:33.750 --> 00:31:36.210 or emergencies. That makes a lot of sense. Mutual 00:31:36.210 --> 00:31:38.940 support. It also heavily emphasizes connecting 00:31:38.940 --> 00:31:41.720 with local community colleges or ag extension 00:31:41.720 --> 00:31:44.660 offices for training programs, not just for new 00:31:44.660 --> 00:31:47.339 hires to get them up to speed quickly, but also 00:31:47.339 --> 00:31:50.200 for upskilling your existing workforce, fostering 00:31:50.200 --> 00:31:52.839 that career development we just discussed. And 00:31:52.839 --> 00:31:55.240 developing agreements with reliable, pre -vetted 00:31:55.240 --> 00:31:57.859 staffing services can provide a crucial safety 00:31:57.859 --> 00:32:00.539 net for short -term needs. So this proactive 00:32:00.539 --> 00:32:03.500 networking can be an absolute lifesaver. Allows 00:32:03.500 --> 00:32:05.960 you to tap into external resources and support 00:32:05.960 --> 00:32:08.500 systems when your internal capacity is strained, 00:32:08.539 --> 00:32:10.920 preventing those scrambling scenarios when a 00:32:10.920 --> 00:32:13.440 crisis inevitably hits. It's about being prepared 00:32:13.440 --> 00:32:16.440 and having a robust support system, not just 00:32:16.440 --> 00:32:19.579 reacting in isolation. And here are two low -cost, 00:32:19.619 --> 00:32:21.700 high -impact moves you can implement this week 00:32:21.700 --> 00:32:23.759 that can make an immediate difference, tackling 00:32:23.759 --> 00:32:26.180 some of those initial turnover challenges. Okay, 00:32:26.279 --> 00:32:28.359 what are they? First, standardize your onboarding 00:32:28.359 --> 00:32:31.000 process. Written protocols, clear expectations, 00:32:31.440 --> 00:32:34.420 regular milestone reviews. This ensures every 00:32:34.420 --> 00:32:36.759 new hire gets a consistent, supportive start, 00:32:36.960 --> 00:32:40.380 reducing confusion, anxiety, early errors, helps 00:32:40.380 --> 00:32:42.539 them feel integrated and valued from day one. 00:32:42.720 --> 00:32:46.140 Makes sense. Consistency is key. Second, train 00:32:46.140 --> 00:32:48.420 your supervisors in basic coaching techniques. 00:32:49.039 --> 00:32:52.000 Because, as the article points out, many turnover 00:32:52.000 --> 00:32:55.200 decisions happen within the first 90 days. 90 00:32:55.200 --> 00:32:57.859 days. Wow. And often these decisions are fundamentally 00:32:57.859 --> 00:33:00.180 based on the employee's relationship with their 00:33:00.180 --> 00:33:02.940 direct manager. A good supervisor equipped with 00:33:02.940 --> 00:33:04.720 coaching skills can be the difference between 00:33:04.720 --> 00:33:08.099 a new hire staying and thriving or leaving disillusioned 00:33:08.099 --> 00:33:10.720 and frustrated. So it's about foundational support, 00:33:10.880 --> 00:33:13.259 making sure your existing team is equipped to 00:33:13.259 --> 00:33:16.180 integrate new members effectively and foster 00:33:16.180 --> 00:33:18.960 a positive, productive work environment right 00:33:18.960 --> 00:33:21.200 from the start. Exactly. Finally, the article 00:33:21.200 --> 00:33:23.339 stresses the importance of using extension data 00:33:23.339 --> 00:33:26.299 to benchmark and track progress. Stop making 00:33:26.299 --> 00:33:28.619 workforce decisions based purely on gut feelings 00:33:28.619 --> 00:33:31.299 or anecdotal evidence when objective, reliable 00:33:31.299 --> 00:33:33.460 data is readily available through university 00:33:33.460 --> 00:33:36.140 extension programs. Right. Use the data. These 00:33:36.140 --> 00:33:38.900 programs offer invaluable insights into industry 00:33:38.900 --> 00:33:41.400 trends, best practices, performance metrics, 00:33:41.619 --> 00:33:43.559 allowing you to compare your farm's turnover 00:33:43.559 --> 00:33:46.240 rates, training effectiveness, retention strategies 00:33:46.240 --> 00:33:49.059 against regional or national averages. This is 00:33:49.059 --> 00:33:51.619 about data -driven management in action. Moving 00:33:51.619 --> 00:33:54.299 from subjective opinions to informed decisions 00:33:54.299 --> 00:33:57.119 that can truly impact your bottom line and improve 00:33:57.119 --> 00:34:00.180 operational resilience. It's about having a clear, 00:34:00.339 --> 00:34:02.660 evidence -based picture of where you stand and 00:34:02.660 --> 00:34:08.539 where you need to go. The article leaves us with 00:34:08.539 --> 00:34:10.860 a provocative thought that really brings home 00:34:10.860 --> 00:34:13.300 the urgency of this hidden crisis. If you lost 00:34:13.300 --> 00:34:15.659 40 % of your workforce tomorrow, not gradually 00:34:15.659 --> 00:34:17.980 over months, but suddenly, could you still milk 00:34:17.980 --> 00:34:20.360 your cows and maintain animal welfare standards? 00:34:20.639 --> 00:34:22.969 That's a stark... Almost unsettling question. 00:34:23.289 --> 00:34:25.409 It is. And it reminds us that this isn't a theoretical 00:34:25.409 --> 00:34:29.090 scenario or some hyperbolic what if. Agricultural 00:34:29.090 --> 00:34:31.349 regions have experienced similar sudden reductions 00:34:31.349 --> 00:34:34.269 following enforcement actions, economic disruptions, 00:34:34.269 --> 00:34:36.250 sudden changes in the competitive labor market. 00:34:36.510 --> 00:34:38.809 Yeah, it happens. The difference between survival 00:34:38.809 --> 00:34:41.550 and bankruptcy, the article asserts, often comes 00:34:41.550 --> 00:34:44.289 down to preparation and strategic thinking long 00:34:44.289 --> 00:34:46.969 before the crisis forces your hand. It's about 00:34:46.969 --> 00:34:50.170 building resilience now before you're truly tested. 00:34:50.619 --> 00:34:53.940 Hashtag, hashtag, actionable insights. So after 00:34:53.940 --> 00:34:55.840 all that discussion, that deep dive into the 00:34:55.840 --> 00:34:58.599 true costs of turnover, the regional complexities, 00:34:58.780 --> 00:35:02.659 the reality of technology, what's the key takeaway 00:35:02.659 --> 00:35:04.559 for you, our farmer listener today that we should 00:35:04.559 --> 00:35:06.579 really emphasize? What's the one thing they should 00:35:06.579 --> 00:35:08.559 remember when they get back to the barn? That's 00:35:08.559 --> 00:35:10.380 a great question because there really is so much 00:35:10.380 --> 00:35:12.800 to absorb from this deep dive. But if I had to 00:35:12.800 --> 00:35:14.719 distill it down to one absolute top takeaway, 00:35:14.840 --> 00:35:17.679 it's this. Investing in your people is not an 00:35:17.679 --> 00:35:21.320 expense. It's a profound, quantifiable cost saver 00:35:21.320 --> 00:35:23.820 and an investment in your farm's future. The 00:35:23.820 --> 00:35:25.840 article makes it crystal clear that by investing 00:35:25.840 --> 00:35:28.179 in things like decent housing, structured career 00:35:28.179 --> 00:35:31.500 pathways, you could save a staggering $15 ,000 00:35:31.500 --> 00:35:34.400 to $25 ,000 per worker you retain. $15 ,000 to 00:35:34.400 --> 00:35:37.559 $25 ,000 save per retained worker. Exactly. Those 00:35:37.559 --> 00:35:40.699 Vermont farms cutting turnover from... over 45 00:35:40.699 --> 00:35:44.179 % to under 15 % in two years. That's a powerful 00:35:44.179 --> 00:35:47.159 testament to the direct correlation. It's a direct 00:35:47.159 --> 00:35:49.360 hit on your bottom line. You're not just being 00:35:49.360 --> 00:35:51.579 a good employer. You're making a smart business 00:35:51.579 --> 00:35:54.019 decision that significantly impacts profitability 00:35:54.019 --> 00:35:56.780 and reduces wasted capital. I couldn't agree 00:35:56.780 --> 00:35:59.679 more. And to build on that, another critical 00:35:59.679 --> 00:36:02.239 insight for farmers is to get real about the 00:36:02.239 --> 00:36:04.760 time and the true cost of new hires and plan 00:36:04.760 --> 00:36:07.610 proactively to mitigate that. You need to budget 00:36:07.610 --> 00:36:09.869 a substantial three to six months for a new hire 00:36:09.869 --> 00:36:12.250 to reach full productivity, during which your 00:36:12.250 --> 00:36:14.530 veteran staff are losing up to 30 % of their 00:36:14.530 --> 00:36:17.090 valuable time to training. That's a massive hidden 00:36:17.090 --> 00:36:19.889 drain on resources. It is. So streamlining and 00:36:19.889 --> 00:36:21.909 standardizing your onboarding process isn't just 00:36:21.909 --> 00:36:23.949 about efficiency. It's about immediately cutting 00:36:23.949 --> 00:36:26.010 that waste, getting people productive faster, 00:36:26.210 --> 00:36:28.510 integrating them more effectively to reduce the 00:36:28.510 --> 00:36:31.050 initial strain on your existing team, and crucially, 00:36:31.110 --> 00:36:33.309 on your bottom line. It's about accelerating 00:36:33.309 --> 00:36:36.150 the path to contribution. And we absolutely cannot 00:36:36.150 --> 00:36:38.550 ignore those predictable seasonal impacts that 00:36:38.550 --> 00:36:41.550 can wreak havoc on operations. Prepare your staffing 00:36:41.550 --> 00:36:44.369 around those seasonal peaks. That spiked to 20 00:36:44.369 --> 00:36:47.389 % monthly turnover in April for field work and 00:36:47.389 --> 00:36:50.349 again in July due to intense heat stress. They 00:36:50.349 --> 00:36:52.309 aren't surprises. They're predictable patterns 00:36:52.309 --> 00:36:54.510 year after year. Right. Don't let them catch 00:36:54.510 --> 00:36:57.420 you off guard. Schedule accordingly. Proactively 00:36:57.420 --> 00:37:00.280 plan for labor sharing with neighbors. Or you 00:37:00.280 --> 00:37:02.920 risk your entire operation spiraling during crucial 00:37:02.920 --> 00:37:05.639 times when field work is demanding or cows are 00:37:05.639 --> 00:37:08.059 under severe heat stress. Proactive planning 00:37:08.059 --> 00:37:10.460 for these periods is just non -negotiable for 00:37:10.460 --> 00:37:13.139 maintaining stability and preventing costly disruptions. 00:37:13.480 --> 00:37:15.699 Finally, for those considering automation, a 00:37:15.699 --> 00:37:18.179 crucial actionable insight is to be realistic, 00:37:18.500 --> 00:37:21.619 brutally realistic, about robotic milking payback 00:37:21.619 --> 00:37:24.119 periods. Don't believe paybacks under five years. 00:37:24.219 --> 00:37:26.320 The robust data from Minnesota and Wisconsin 00:37:26.320 --> 00:37:29.599 Extension consistently shows five, seven years 00:37:29.599 --> 00:37:32.360 is a much more accurate timeline under typical 00:37:32.360 --> 00:37:35.239 operating conditions. Five to seven years. Manage 00:37:35.239 --> 00:37:38.119 expectations. And even with robots, remember, 00:37:38.260 --> 00:37:41.159 you'll still need a skilled, tech -savvy workforce 00:37:41.159 --> 00:37:43.760 to manage and troubleshoot these complex systems, 00:37:43.820 --> 00:37:46.480 not fewer people. Automation transforms your 00:37:46.480 --> 00:37:48.860 labor needs. It doesn't eliminate them. So it's 00:37:48.860 --> 00:37:51.900 all about a balanced, strategic approach. Understanding 00:37:51.900 --> 00:37:54.900 technology is a powerful tool, but it's not a 00:37:54.900 --> 00:37:57.320 complete replacement for human talent. It's a 00:37:57.320 --> 00:37:59.699 partnership. Hashtag, hashtag, tag, tag, outro. 00:37:59.900 --> 00:38:02.219 Those are truly great points. And that's all 00:38:02.219 --> 00:38:04.179 the time we have for today's Deep Dive. For more 00:38:04.179 --> 00:38:06.179 articles and insights on these crucial topics, 00:38:06.360 --> 00:38:10.239 be sure to visit www .thebullvine .com. Don't 00:38:10.239 --> 00:38:12.179 forget to subscribe wherever you get your podcasts 00:38:12.179 --> 00:38:15.139 so you don't miss future Deep Dives. Thanks for 00:38:15.139 --> 00:38:16.960 listening. We'll catch you next time for another 00:38:16.960 --> 00:38:19.039 comprehensive look into the issues shaping the 00:38:19.039 --> 00:38:21.519 dairy industry. That's a wrap on today's episode 00:38:21.519 --> 00:38:24.559 of the Bullvine Podcast. We hope this deep dive 00:38:24.559 --> 00:38:27.579 into workforce turnover costs opened your eyes 00:38:27.579 --> 00:38:30.019 to the real crisis happening in barns across 00:38:30.019 --> 00:38:33.349 America. and more importantly, gave you actionable 00:38:33.349 --> 00:38:36.469 strategies to protect your operation. Remember, 00:38:36.750 --> 00:38:39.809 your cows don't negotiate milking schedules based 00:38:39.809 --> 00:38:42.769 on who shows up. It's time to get serious about 00:38:42.769 --> 00:38:46.090 the people who make it all happen. For more bold 00:38:46.090 --> 00:38:48.690 truths and practical insights that challenge 00:38:48.690 --> 00:38:51.730 conventional dairy wisdom, subscribe to The Bullvine 00:38:51.730 --> 00:38:54.670 Podcast wherever you get your shows. Visit us 00:38:54.670 --> 00:38:58.590 at www .thebullvine .com. for exclusive articles 00:38:58.590 --> 00:39:01.789 market reports and industry analysis you won't 00:39:01.789 --> 00:39:04.769 find anywhere else until next time keep those 00:39:04.769 --> 00:39:07.769 cows happy the milk flowing and your farm profitable 00:39:07.769 --> 00:39:09.030 thanks for listening