WEBVTT

00:00:11.720 --> 00:00:15.060
Breaking free from the chains of the past Where

00:00:15.060 --> 00:00:18.820
truth moves faster than a Holstein calf No law

00:00:18.820 --> 00:00:21.660
waiting on some printed page We're charting new

00:00:21.660 --> 00:00:25.300
ground in the digital age From genomic codes

00:00:25.300 --> 00:00:29.120
to robot facts We cut through the noise, no hold

00:00:29.280 --> 00:00:32.460
them back not your daddy's dairy news tonight

00:00:32.460 --> 00:01:02.979
we're sparking Welcome to the Bullvine Podcast,

00:01:03.479 --> 00:01:06.780
your go -to spot for bold, no -nonsense insights

00:01:06.780 --> 00:01:10.120
on the dairy industry. Today, we're diving into

00:01:10.120 --> 00:01:12.640
a hot topic impacting dairy farmers everywhere,

00:01:12.959 --> 00:01:15.859
the growing automation gap, and what it means

00:01:15.859 --> 00:01:18.000
for the future of your farm's productivity and

00:01:18.000 --> 00:01:20.879
profitability. Stay with us as we unpack the

00:01:20.879 --> 00:01:23.519
challenges, trends, and real -world strategies

00:01:23.519 --> 00:01:26.379
that can help you compete and thrive in today's

00:01:26.379 --> 00:01:30.060
rapidly evolving livestock landscape. So grab

00:01:30.060 --> 00:01:32.780
your coffee, find a comfortable seat, and let's

00:01:32.780 --> 00:01:35.239
get after it. Welcome back to the Bullvine Podcast,

00:01:35.700 --> 00:01:37.920
the show that digs deep into the topics that

00:01:37.920 --> 00:01:40.459
matter to dairy producers. That's right. Today

00:01:40.459 --> 00:01:42.459
we're tackling a really interesting feature article

00:01:42.459 --> 00:01:44.280
from the Bullvine that's got everyone talking.

00:01:44.439 --> 00:01:46.140
We're going to break it all down. And it's a

00:01:46.140 --> 00:01:48.680
crucial one, focusing on automation. The article

00:01:48.680 --> 00:01:52.200
kicks off with this really vivid image. It really

00:01:52.200 --> 00:01:56.180
does. Picture this. It's 4 a .m. You're heading

00:01:56.180 --> 00:01:58.519
out to milk, right? And you look over at your

00:01:58.519 --> 00:02:01.480
neighbor's poultry barns. Yeah. Completely silent

00:02:01.480 --> 00:02:06.519
at 5 a .m., just quiet. But inside, 25 ,000 birds

00:02:06.519 --> 00:02:09.819
are being handled automatically. Fed, watered,

00:02:09.819 --> 00:02:12.139
climate control, everything, while the farmer

00:02:12.139 --> 00:02:14.789
might still be asleep. Wow. That really hammers

00:02:14.789 --> 00:02:17.449
on the point, doesn't it? The core competitive

00:02:17.449 --> 00:02:19.830
disadvantage for traditional dairy right now

00:02:19.830 --> 00:02:21.990
because of labor. Absolutely. The article lays

00:02:21.990 --> 00:02:24.270
out the numbers pretty starkly. Dairy folks are

00:02:24.270 --> 00:02:26.289
spending, what, 20 to 30 percent of their production

00:02:26.289 --> 00:02:28.909
budget just on labor? Yeah, a huge chunk. Now,

00:02:28.909 --> 00:02:31.150
compare that. Those automated boiler houses,

00:02:31.289 --> 00:02:34.330
it's like 1 .6 to 2 .4 percent. Tiny fraction.

00:02:34.650 --> 00:02:37.110
And even pig farming is lower, around 9 percent,

00:02:37.150 --> 00:02:39.169
I think it said. Exactly. It's not just a gap.

00:02:39.310 --> 00:02:42.349
It's, well, it's a chasm. And that translates

00:02:42.349 --> 00:02:44.889
into real dollars. For a million pound operation,

00:02:45.050 --> 00:02:49.389
the article estimates upwards of $150 ,000 a

00:02:49.389 --> 00:02:52.370
year disadvantage. Right off the top. And that's

00:02:52.370 --> 00:02:54.590
before you even think about the sheer headache

00:02:54.590 --> 00:02:57.050
of finding reliable workers, especially for,

00:02:57.110 --> 00:02:59.349
you know, holidays or weekends. Oh, yeah. It's

00:02:59.349 --> 00:03:01.909
relentless. So when you see those numbers, it

00:03:01.909 --> 00:03:04.889
makes sense why this gap is seen as, well, potentially

00:03:04.889 --> 00:03:08.169
redefining the industry. For sure. And this leads

00:03:08.169 --> 00:03:10.490
right into the automation data in dairy itself.

00:03:10.710 --> 00:03:12.590
There's some interesting Cornell research mentioned.

00:03:12.770 --> 00:03:14.490
Right. The farms that have adopted automation,

00:03:14.810 --> 00:03:17.969
they're seeing significant cuts in labor costs.

00:03:18.599 --> 00:03:21.360
over 21 % on average. And some are getting close

00:03:21.360 --> 00:03:24.400
to 29 % savings. Huge numbers. But here's the

00:03:24.400 --> 00:03:27.439
weird part, the kicker, right? Only about 5 %

00:03:27.439 --> 00:03:30.300
of U .S. dairies are actually using robotic milking

00:03:30.300 --> 00:03:32.560
systems. It feels like a mismatch. It really

00:03:32.560 --> 00:03:35.539
does. But get this, that tiny 5%, they're producing

00:03:35.539 --> 00:03:38.159
something like 45 % of the nation's milk. 45

00:03:38.159 --> 00:03:42.379
% from just 5 % of the farms. Yeah. That tells

00:03:42.379 --> 00:03:45.060
you just how incredibly impactful this technology

00:03:45.060 --> 00:03:48.189
is, even with low adoption rates so far. So connecting

00:03:48.189 --> 00:03:51.629
those dots, this labor automation gap, it's not

00:03:51.629 --> 00:03:53.530
just some side issue. It seems like it's the

00:03:53.530 --> 00:03:56.810
main thing driving consolidation. I think the

00:03:56.810 --> 00:03:58.590
article makes a strong case for that. And it's

00:03:58.590 --> 00:04:00.530
not happening slowly either. It says the pace

00:04:00.530 --> 00:04:03.509
is accelerating faster than maybe people realize.

00:04:03.889 --> 00:04:07.449
It's shifting from if to when for a lot of farms,

00:04:07.590 --> 00:04:09.870
it sounds like. Yeah, definitely. So how did

00:04:09.870 --> 00:04:12.370
other sectors handle this, like poultry or swine?

00:04:12.389 --> 00:04:15.090
Did they face similar pressures? Well, they found

00:04:15.090 --> 00:04:17.350
their own paths kind of driven by different things.

00:04:17.649 --> 00:04:20.310
Poultry is interesting. Also. The big players,

00:04:20.550 --> 00:04:23.550
you know, Tyson, Purdue, they basically told

00:04:23.550 --> 00:04:26.110
their contract growers, you will use this specific

00:04:26.110 --> 00:04:28.810
equipment. They mandated it. Pretty much. And

00:04:28.810 --> 00:04:31.930
just like that, boom, a $2 billion North American

00:04:31.930 --> 00:04:34.189
automation market was born. They guaranteed the

00:04:34.189 --> 00:04:36.550
demand. And the result. Modern broiler house,

00:04:36.889 --> 00:04:40.230
25 ,000 birds, less than one full -time employee

00:04:40.230 --> 00:04:42.629
needed per house. Just incredible efficiency.

00:04:43.029 --> 00:04:45.509
Wow. Okay, so that was integrator -driven. What

00:04:45.509 --> 00:04:48.009
about swine? What pushed them? For swine, it

00:04:48.009 --> 00:04:50.329
was more about animal welfare pressure. Things

00:04:50.329 --> 00:04:53.930
like California's Prop 12 rules in the EU, pushing

00:04:53.930 --> 00:04:56.389
away from gestation stalls. Ah, right. Group

00:04:56.389 --> 00:05:00.009
housing. Exactly. Which led to the rise of electronic

00:05:00.009 --> 00:05:03.509
sow feeders, ESF systems, you know, RFID tags,

00:05:03.750 --> 00:05:05.810
individual feeding in a group setting. Clever

00:05:05.810 --> 00:05:08.430
tech. And that market's growing. Big time. The

00:05:08.430 --> 00:05:10.629
article projects it'll double. From about $1

00:05:10.629 --> 00:05:15.449
.3 billion now to nearly $2 .7 billion by 2032.

00:05:15.829 --> 00:05:18.269
That's a serious trend. And it works in practice,

00:05:18.350 --> 00:05:20.370
too. There's a case study, right? An international

00:05:20.370 --> 00:05:22.730
swine operation. Yeah, cut their workforce from

00:05:22.730 --> 00:05:25.170
25 people down to 10. Well, increasing output.

00:05:25.410 --> 00:05:28.149
Yep. Went from 25 weaned piglets per sow per

00:05:28.149 --> 00:05:31.740
year up to 28. So fewer people. More production.

00:05:31.800 --> 00:05:34.120
That's the automation promise, really. So, okay,

00:05:34.180 --> 00:05:37.259
poultry and swine found ways. Why is dairy struggling

00:05:37.259 --> 00:05:39.420
so much more with the labor side? Why can't we

00:05:39.420 --> 00:05:42.120
just copy them? Well, dairy has some unique hurdles.

00:05:42.240 --> 00:05:44.959
First off, the workforce is getting older. USDA

00:05:44.959 --> 00:05:47.240
data shows foreign -born farm workers' average

00:05:47.240 --> 00:05:50.360
age climbed quite a bit between 2006 and 2022.

00:05:50.879 --> 00:05:52.800
And that's a big deal because... Because immigrant

00:05:52.800 --> 00:05:56.019
workers are absolutely crucial. They make up

00:05:56.019 --> 00:05:59.920
over half, 51 % of the labor on U .S. dairy farms.

00:06:00.079 --> 00:06:03.410
Wow. And they produce nearly 80 % of the milk.

00:06:03.850 --> 00:06:06.170
Some experts think the dependency is even higher,

00:06:06.290 --> 00:06:09.329
maybe 60%. 80 % of the milk comes from farms

00:06:09.329 --> 00:06:12.410
relying on immigrant labor. That's staggering.

00:06:12.670 --> 00:06:15.329
It is. And then you hit the regulatory wall,

00:06:15.490 --> 00:06:18.810
the H -2A visa program. The one for farm labor.

00:06:19.110 --> 00:06:21.509
Yeah, but it's designed by law for temporary

00:06:21.509 --> 00:06:24.699
or seasonal work. Think harvesting crops. But

00:06:24.699 --> 00:06:26.819
dairy isn't seasonal. You need milkers every

00:06:26.819 --> 00:06:30.420
single day, 365 days a year. Exactly. So the

00:06:30.420 --> 00:06:32.579
program is basically useless for dairy's year

00:06:32.579 --> 00:06:35.319
-round needs. It puts farmers in a bind that,

00:06:35.379 --> 00:06:37.540
say, crop farmers don't face in the same way.

00:06:37.699 --> 00:06:39.899
An impossible position, really. And what happens

00:06:39.899 --> 00:06:41.420
when you have high demand and restricted supply

00:06:41.420 --> 00:06:44.420
of labor? Wages go up. Way up. Bingo. The article

00:06:44.420 --> 00:06:46.740
mentions $22 an hour in California's Central

00:06:46.740 --> 00:06:51.259
Valley, Wisconsin seeing $18, maybe $20, especially

00:06:51.259 --> 00:06:53.620
if you need reliable weekend help. At those wage

00:06:53.620 --> 00:06:55.899
rates, suddenly the cost of robots doesn't look

00:06:55.899 --> 00:06:59.589
so bad. Precisely. the payback period just collapses.

00:06:59.990 --> 00:07:02.610
Down to maybe three or four years in some cases,

00:07:02.709 --> 00:07:04.470
it becomes almost a no -brainer financially.

00:07:04.829 --> 00:07:06.889
But it's getting even worse than just cost, isn't

00:07:06.889 --> 00:07:09.310
it? Yeah, the article notes, some farms in the

00:07:09.310 --> 00:07:11.610
Central Valley have had help -wanted signs for

00:07:11.610 --> 00:07:14.529
eight months straight. Eight months. And they

00:07:14.529 --> 00:07:17.290
just can't find people at any price. Yeah. It's

00:07:17.290 --> 00:07:19.009
not about affording labor anymore. It's about

00:07:19.009 --> 00:07:21.250
finding it at all. That's a crisis. It really

00:07:21.250 --> 00:07:23.189
is. And it plays out differently depending on

00:07:23.189 --> 00:07:25.449
where you are. You know, California squeezing

00:07:25.449 --> 00:07:28.529
smaller dairies, Wisconsin's family labor tradition

00:07:28.529 --> 00:07:32.149
changing, Idaho building new and automated, Texas

00:07:32.149 --> 00:07:34.889
kind of a mix, the Northeast adopting fast because

00:07:34.889 --> 00:07:38.209
costs are so high. It's complex. So labor savings

00:07:38.209 --> 00:07:41.410
are the obvious push. But the article argues

00:07:41.410 --> 00:07:43.269
there's a lot more to it, right? The benefits

00:07:43.269 --> 00:07:45.069
go beyond just cutting staff. Oh, absolutely.

00:07:45.250 --> 00:07:48.410
That Cornell research. Yes, 21, 29 percent labor

00:07:48.410 --> 00:07:50.910
cost reduction is great. But the article calls

00:07:50.910 --> 00:07:53.069
that just the entry fee. OK, so what's the bonus?

00:07:53.689 --> 00:07:57.209
Milk production, for one, big one. 58 % of farms

00:07:57.209 --> 00:08:00.089
that put in automated milking systems, AMS, report

00:08:00.089 --> 00:08:02.930
higher production. Higher. How much? Typically

00:08:02.930 --> 00:08:06.089
5 % to 10 % more milk. It's because cows can

00:08:06.089 --> 00:08:08.230
choose to be milked more often, especially fresh

00:08:08.230 --> 00:08:11.649
cows, maybe three times a day or more voluntarily.

00:08:12.360 --> 00:08:14.439
Instead of just twice a day in a conventional

00:08:14.439 --> 00:08:17.120
setup. Exactly. Every extra trip to the robot

00:08:17.120 --> 00:08:19.519
is more potential yield. Let's put numbers on

00:08:19.519 --> 00:08:22.959
that. A 500 -cow herd, say, averaging 70 pounds

00:08:22.959 --> 00:08:26.959
a day, a 7 % increase. Okay. 70 pounds times

00:08:26.959 --> 00:08:30.819
500 cows is 35 ,000 pounds. 7 % of that is 2

00:08:30.819 --> 00:08:36.139
,450 extra pounds per day. Wow. 2 ,450 pounds

00:08:36.139 --> 00:08:39.659
daily. What's that worth? $22 per 100 weight

00:08:39.659 --> 00:08:42.519
and a brute. Let's see. 24 .500 weight times

00:08:42.519 --> 00:08:46.440
$22. That's about $539 extra every single day.

00:08:46.600 --> 00:08:50.340
$539 a day annually. Over $196 ,000 a year. Just

00:08:50.340 --> 00:08:52.399
from the melt increase, that alone could justify

00:08:52.399 --> 00:08:54.639
the robot investment for many. Easily. And that's

00:08:54.639 --> 00:08:56.440
before you even look at feed efficiency. Right.

00:08:56.480 --> 00:08:58.360
The automated feeding systems. TMR consistency.

00:08:58.779 --> 00:09:00.879
Exactly. Robots mix it the same way every time.

00:09:01.000 --> 00:09:04.779
Humans. Not always. Plus, they reduce waste significantly.

00:09:05.100 --> 00:09:07.820
The article mentioned 1 ,000 cow operations saving

00:09:07.820 --> 00:09:10.620
maybe $50 ,000 a year just from better mixing

00:09:10.620 --> 00:09:13.360
and less feed refusal. $50 ,000 is not small

00:09:13.360 --> 00:09:15.980
change. Not at all. And then there's the health

00:09:15.980 --> 00:09:18.440
side. This part's really fascinating. The sensors,

00:09:18.740 --> 00:09:22.940
monitoring mastitis, lameness. Yeah. Those systems

00:09:22.940 --> 00:09:26.360
apparently have the fastest ROI of almost any

00:09:26.360 --> 00:09:30.059
dairy tech. Payback in just over two years, like

00:09:30.059 --> 00:09:34.509
2 .1 years on average. How? By catching problems

00:09:34.509 --> 00:09:37.750
earlier. Precisely. Catching one mastitis case

00:09:37.750 --> 00:09:41.309
early saves you, what, $300 to $500? Spotting

00:09:41.309 --> 00:09:43.470
lameness before it gets bad can save over $1

00:09:43.470 --> 00:09:46.590
,000 per cow, considering treatment, lost milk,

00:09:46.730 --> 00:09:49.389
replacement costs. So it shifts you from reacting

00:09:49.389 --> 00:09:52.350
to problems to proactively managing health. Totally.

00:09:52.370 --> 00:09:54.250
You're ahead of the curve. You know, it's not

00:09:54.250 --> 00:09:56.129
just the business metrics, though. That quote

00:09:56.129 --> 00:09:57.809
from the Wisconsin film really stuck with me.

00:09:57.830 --> 00:09:59.409
It's fun about his son's football games. Yeah.

00:09:59.809 --> 00:10:02.149
Saying the robots weren't just about saving labor,

00:10:02.269 --> 00:10:04.490
but about finally being able to go watch his

00:10:04.490 --> 00:10:06.590
kid play on a Friday night. That quality of life

00:10:06.590 --> 00:10:09.389
aspect. It's huge. Often overlooked, but maybe

00:10:09.389 --> 00:10:11.730
the most valuable benefit for many people. Yeah.

00:10:11.830 --> 00:10:13.750
Making the whole lifestyle sustainable, right?

00:10:13.889 --> 00:10:16.049
Yeah. That freedom. Yeah. It surprises us sometimes.

00:10:16.389 --> 00:10:18.870
Definitely. But, okay, the tech is powerful,

00:10:19.070 --> 00:10:22.559
but the article stresses it's not magic. Management

00:10:22.559 --> 00:10:25.700
is the key ingredient. Absolutely critical. And

00:10:25.700 --> 00:10:28.019
the data backs this up strongly. There's this

00:10:28.019 --> 00:10:31.139
huge performance gap between AMS farms. How big

00:10:31.139 --> 00:10:34.720
a gap? The top 25 % get around 4 ,200 pounds

00:10:34.720 --> 00:10:37.700
of milk per robot per day. Right. The bottom

00:10:37.700 --> 00:10:42.100
25%. Only 2 ,900 pounds. Wow, that's over 40

00:10:42.100 --> 00:10:44.899
% difference with the same machines. 42 % difference,

00:10:45.059 --> 00:10:47.539
yeah. Same hardware, vastly different results.

00:10:47.840 --> 00:10:50.730
It proves automation is an amplifier. It amplifies

00:10:50.730 --> 00:10:53.190
good management, but it also amplifies poor management.

00:10:53.350 --> 00:10:55.830
Exactly. If your underlying systems or management

00:10:55.830 --> 00:10:58.330
practices are weak, the robots won't fix that.

00:10:58.529 --> 00:11:00.529
They might even make things worse or just be

00:11:00.529 --> 00:11:02.889
incredibly inefficient. So what are the top performers

00:11:02.889 --> 00:11:04.809
doing differently? What's their secret sauce?

00:11:05.309 --> 00:11:07.409
It's not really a secret, just good discipline.

00:11:07.629 --> 00:11:10.230
They live by the data -checking robot metrics

00:11:10.230 --> 00:11:14.330
daily. They obsess over cow flow. A bad barn

00:11:14.330 --> 00:11:17.149
layout kills robot efficiency. Makes sense. Cows

00:11:17.149 --> 00:11:19.600
have to get there easily. Right. They stick to

00:11:19.600 --> 00:11:21.500
preventive maintenance schedules religiously.

00:11:21.759 --> 00:11:24.340
And crucially, they train everyone, not just

00:11:24.340 --> 00:11:26.639
the herd manager, but all staff who interact

00:11:26.639 --> 00:11:29.320
with the system. That's a big one. Often missed,

00:11:29.399 --> 00:11:31.580
I bet. They're always looking to tweak and improve,

00:11:31.879 --> 00:11:34.799
continuous improvement. The bottom performers,

00:11:35.059 --> 00:11:37.899
the article kind of implies they just install

00:11:37.899 --> 00:11:40.259
it and hope for the best. Install and hope isn't

00:11:40.259 --> 00:11:42.340
much of a strategy. Not for getting the most

00:11:42.340 --> 00:11:44.740
out of a major investment, no. Okay, so this

00:11:44.740 --> 00:11:47.169
all paints a picture of, well... The article

00:11:47.169 --> 00:11:49.710
calls it a great divide in the industry. Which

00:11:49.710 --> 00:11:51.870
brings us to the future outlook and how farms

00:11:51.870 --> 00:11:53.809
can actually navigate this. Yeah, that divide

00:11:53.809 --> 00:11:57.490
is stark. Remember the numbers. Only 13 % of

00:11:57.490 --> 00:12:00.330
farms use computerized milking, but they account

00:12:00.330 --> 00:12:03.070
for 45 % of the milk. And the only farm size

00:12:03.070 --> 00:12:05.429
category actually growing is the really big ones,

00:12:05.529 --> 00:12:08.919
2 ,500 cows plus. Those leaders are hitting incredible

00:12:08.919 --> 00:12:12.179
efficiency numbers, like 100, 120 cows per full

00:12:12.179 --> 00:12:14.379
-time employee. Double the industry average.

00:12:14.659 --> 00:12:17.100
Double. But what about the mid -sized guys? The

00:12:17.100 --> 00:12:20.840
100 to, say, 500 cow dairies? The article sounds

00:12:20.840 --> 00:12:23.220
pretty grim for them. It calls it an existential

00:12:23.220 --> 00:12:25.740
squeeze. They're often too small for the huge

00:12:25.740 --> 00:12:28.419
AMS setups, but too big now for just family labor.

00:12:28.980 --> 00:12:31.200
Census data show they took a big hit recently.

00:12:31.580 --> 00:12:34.879
So is it hopeless for them? Or are there strategies?

00:12:35.320 --> 00:12:37.779
No, not hopeless. But they need to be smart.

00:12:38.039 --> 00:12:39.940
There's a great example in the article of 500

00:12:39.940 --> 00:12:42.519
Cal Wisconsin Farm. What did they do? Invested

00:12:42.519 --> 00:12:46.039
about $380 ,000 in two AMS units and automated

00:12:46.039 --> 00:12:49.340
feed pushers. Saved $85 ,000 a year by cutting

00:12:49.340 --> 00:12:52.820
3 .250 E's. Yeah. Payback in about 4 .5 years.

00:12:52.980 --> 00:12:55.360
Okay. So it is possible. The lesson seems to

00:12:55.360 --> 00:12:58.019
be start smart. Don't try to do everything at

00:12:58.019 --> 00:13:00.059
once. Exactly. Target your biggest pain point

00:13:00.059 --> 00:13:02.200
first. Maybe it's labor for milking. Maybe it's

00:13:02.200 --> 00:13:04.559
feed consistency. So if someone listening is

00:13:04.559 --> 00:13:06.240
trying to figure out where to start, does the

00:13:06.240 --> 00:13:08.879
article offer a kind of roadmap, a decision tree?

00:13:09.139 --> 00:13:10.840
Yeah, it lays out some practical steps based

00:13:10.840 --> 00:13:14.159
on size. For smaller herds, 150, 300 cows. Maybe

00:13:14.159 --> 00:13:15.940
start with automated ID and health monitoring.

00:13:16.120 --> 00:13:18.860
Lower cost entry point. Right, like 25K to 40K.

00:13:18.960 --> 00:13:21.000
Good ROI, gets you used to managing with data.

00:13:21.120 --> 00:13:23.580
For 300, 600 cows, maybe look at partial stuff

00:13:23.580 --> 00:13:26.559
first. Feed pushers, sort gates, then plan for

00:13:26.559 --> 00:13:28.809
AMS when you expand or build new. And the bigger

00:13:28.809 --> 00:13:32.690
guys, over 600. They're likely already deep into

00:13:32.690 --> 00:13:35.370
considering full automation. Their focus should

00:13:35.370 --> 00:13:37.870
be more on integration, getting all the systems

00:13:37.870 --> 00:13:40.029
talking to each other efficiently. And the number

00:13:40.029 --> 00:13:43.070
one rule for new construction. Design for automation

00:13:43.070 --> 00:13:46.159
from the get -go. Retrofitting an old barn is

00:13:46.159 --> 00:13:49.200
always way more expensive, maybe 40 % more, and

00:13:49.200 --> 00:13:51.840
usually less effective. Okay, good advice. Looking

00:13:51.840 --> 00:13:54.320
ahead, what's coming down the pipe? Stuff that's

00:13:54.320 --> 00:13:56.639
not just science fiction anymore. Well, the robot

00:13:56.639 --> 00:13:59.000
market itself is exploding, going from about

00:13:59.000 --> 00:14:03.220
$3 .4 billion now to over $6 billion by 2029.

00:14:03.340 --> 00:14:06.779
That's huge growth, over 15 % a year. That momentum

00:14:06.779 --> 00:14:09.440
means costs should come down, expertise should

00:14:09.440 --> 00:14:12.360
spread. Exactly. But it also means the clock

00:14:12.360 --> 00:14:14.929
is ticking. The article throws out a pretty stark

00:14:14.929 --> 00:14:18.090
warning delaying past 2028. You risk permanent

00:14:18.090 --> 00:14:20.710
lockout. Permanent lockout from competitive markets.

00:14:20.730 --> 00:14:23.129
That sounds final. It implies the efficiency

00:14:23.129 --> 00:14:25.750
gap will become so large, it'll be almost impossible

00:14:25.750 --> 00:14:27.929
to catch up or compete on price if you haven't

00:14:27.929 --> 00:14:30.330
made the leap. It could force consolidation or

00:14:30.330 --> 00:14:33.190
exits. So beyond milking robots, what else is

00:14:33.190 --> 00:14:35.450
emerging? AI for health prediction is getting

00:14:35.450 --> 00:14:39.029
really good. predicting mastitis maybe 48, 72

00:14:39.029 --> 00:14:41.610
hours before symptoms show with high accuracy,

00:14:41.809 --> 00:14:44.549
robotic calf feeders showing better weaning weights,

00:14:44.809 --> 00:14:47.789
drones for checking herds, even voice -activated

00:14:47.789 --> 00:14:50.149
farm management. Voice -activated? Like asking

00:14:50.149 --> 00:14:52.629
Alexa about your somatic cell count? Kind of.

00:14:52.629 --> 00:14:55.429
The point is, these tools amplify the manager's

00:14:55.429 --> 00:14:57.190
judgment. They don't replace it. They give you

00:14:57.190 --> 00:14:59.330
better information faster. Okay, this is a lot

00:14:59.330 --> 00:15:01.490
to take in. It can feel overwhelming. Does the

00:15:01.490 --> 00:15:04.179
article suggest a way to just... Get started?

00:15:04.340 --> 00:15:07.080
Like a 90 -day plan? Yeah, it breaks it down

00:15:07.080 --> 00:15:10.139
nicely. First 30 days, assess. Really track your

00:15:10.139 --> 00:15:12.960
time, your costs. Calculate that labor cost per

00:15:12.960 --> 00:15:15.259
hundredweight. And crucially, go visit other

00:15:15.259 --> 00:15:17.659
automated farms like yours. See it in action.

00:15:17.879 --> 00:15:20.940
Get real ROI projections based on your farm.

00:15:21.080 --> 00:15:24.100
Okay, month one, homework and visits. Month two.

00:15:24.440 --> 00:15:27.139
Decision time. Secure your financing. Pick your

00:15:27.139 --> 00:15:29.279
technology partner and focus on service and support,

00:15:29.500 --> 00:15:31.740
not just the cheapest sticker price. And start

00:15:31.740 --> 00:15:33.950
management training. Focusing on how to use the

00:15:33.950 --> 00:15:37.450
data, prep for launch, finalize the install timeline,

00:15:37.769 --> 00:15:40.509
prepare your staff for the changes this is critical

00:15:40.509 --> 00:15:43.190
and often rushed, and set your baseline metrics

00:15:43.190 --> 00:15:45.169
so you can track progress once it's running.

00:15:45.370 --> 00:15:47.610
Good practical steps. What about pitfalls? What

00:15:47.610 --> 00:15:50.250
are the common mistakes people make? Number one,

00:15:50.350 --> 00:15:54.190
underestimating the learning curve. It takes

00:15:54.190 --> 00:15:57.070
time, maybe six to 12 months, to really dial

00:15:57.070 --> 00:15:59.529
in a new system. Don't expect perfection on day

00:15:59.529 --> 00:16:02.639
one. Okay, patience is key. What else? Skimping

00:16:02.639 --> 00:16:04.820
on training. Everyone needs to understand the

00:16:04.820 --> 00:16:07.879
system. Choosing a vendor just on price. Ignoring

00:16:07.879 --> 00:16:10.200
service needs later. Trying to shoehorn tech

00:16:10.200 --> 00:16:12.480
into a facility that just isn't right for it.

00:16:12.559 --> 00:16:15.299
Facility compromises. Yeah. And maybe the biggest

00:16:15.299 --> 00:16:18.399
mistake. Expecting the technology to magically

00:16:18.399 --> 00:16:20.940
fix underlying management problems. It won't.

00:16:20.940 --> 00:16:22.740
It'll just automate your existing problems if

00:16:22.740 --> 00:16:24.559
you're not careful. Right. It amplifies what's

00:16:24.559 --> 00:16:27.340
already there, good or bad. Okay. After digging

00:16:27.340 --> 00:16:29.299
through all of this, if you had to boil it down.

00:16:30.139 --> 00:16:32.480
What's the single most critical takeaway for

00:16:32.480 --> 00:16:34.679
a farmer listening right now? I'd say really

00:16:34.679 --> 00:16:37.080
calculate your current labor cost per hundredweight.

00:16:37.240 --> 00:16:39.960
The article suggests if it's over $4, automation

00:16:39.960 --> 00:16:42.539
likely pays for itself in three, four years based

00:16:42.539 --> 00:16:44.899
on labor savings alone. That's a concrete number

00:16:44.899 --> 00:16:47.480
to start with. Know your number. Know your number.

00:16:47.539 --> 00:16:49.539
That's clear. And remember the other benefits

00:16:49.539 --> 00:16:52.600
stack on top of that. The health center ROI is

00:16:52.600 --> 00:16:55.240
incredibly fast, just over two years, saving

00:16:55.240 --> 00:16:57.960
hundreds or thousands per case prevented. Maybe

00:16:57.960 --> 00:17:00.379
start there if full robots feel too big initially.

00:17:00.700 --> 00:17:02.779
Good point. Start small, build confidence. What

00:17:02.779 --> 00:17:05.279
about feed? Feed savings add up fast, especially

00:17:05.279 --> 00:17:08.700
on larger farms. $50 ,000 plus a year isn't unusual

00:17:08.700 --> 00:17:12.079
for a 1 ,000 cow herd, just from better TMR consistency

00:17:12.079 --> 00:17:15.140
and less waste. Even feed pushers have a quick

00:17:15.140 --> 00:17:18.119
payback, around two years. And milk bump. That

00:17:18.119 --> 00:17:20.599
5 -10 % production increase is real for most

00:17:20.599 --> 00:17:23.980
AMS adopters. For that 500 cow example, it was

00:17:23.980 --> 00:17:27.400
nearly $200 ,000 a year extra revenue. That alone

00:17:27.400 --> 00:17:29.700
can carry the investment. So the final thought

00:17:29.700 --> 00:17:32.039
on timing, why now? Because that competitive

00:17:32.039 --> 00:17:35.059
gap is widening every day. Waiting too long,

00:17:35.099 --> 00:17:37.799
especially past that suggested 2028 timeframe,

00:17:38.140 --> 00:17:41.559
genuinely risks being left behind. And if you're

00:17:41.559 --> 00:17:44.819
building new, designed for automation now, don't

00:17:44.819 --> 00:17:47.680
pay 40 % more to retrofit later. The future's

00:17:47.680 --> 00:17:50.160
automated, and it's arriving faster than we thought.

00:17:50.539 --> 00:17:52.480
Great insights. And that's all the time we have

00:17:52.480 --> 00:17:54.519
for today's deep dive into this crucial article.

00:17:54.700 --> 00:17:56.859
For more articles and insights, be sure to visit

00:17:56.859 --> 00:18:00.799
www .thebullvine .com. Don't forget to subscribe

00:18:00.799 --> 00:18:03.079
wherever you get your podcasts. Thanks for listening.

00:18:03.200 --> 00:18:05.819
And maybe think about this. As the industry shifts,

00:18:06.019 --> 00:18:08.539
success won't just be about efficiency, but about

00:18:08.539 --> 00:18:10.680
building a farm and a lifestyle that works for

00:18:10.680 --> 00:18:12.980
the next generation too. What will your future

00:18:12.980 --> 00:18:15.160
farm look like? Thanks for listening to The Bullvine

00:18:15.160 --> 00:18:17.619
Podcast. If you found today's episode valuable,

00:18:18.109 --> 00:18:20.490
Be sure to subscribe and share it with your dairy

00:18:20.490 --> 00:18:23.470
community. For more actionable insights to keep

00:18:23.470 --> 00:18:25.609
your farm ahead of the curve, visit us anytime

00:18:25.609 --> 00:18:30.910
at www .thebullvine .com. Until next time, keep

00:18:30.910 --> 00:18:33.650
striving, keep innovating, and keep leading the

00:18:33.650 --> 00:18:34.890
way in dairy farming.
