
NVIDIA's Founder Says Farmers Should Absolutely Use AI
“If I were a farmer, I would absolutely use AI.”
That’s Jensen Huang, founder and CEO of NVIDIA.
And he's pointing to one of AI’s biggest untapped opportunities: Farming. It’s an industry facing mounting pressure to produce more with less and it’s still massively under-automated.
DIT AgTech brings AI, nutrition automation, and real-time data to livestock production, helping ranchers boost productivity and get more from every animal.
And it’s already proven in one of the world's toughest livestock environments:
500+ units deployed
370,000 head of livestock on the platform
Up to 55% higher daily weight gain
Now expanding into the U.S. and Brazil, DIT AgTech is targeting a 300M+ head cattle market. And the biggest barrier to adoption? Gone. Ranchers get the technology for free when they sign up for a three-year nutrition plan.
DIT AgTech can scale adoption faster, which means more data and more recurring revenue.
Invest before this early-stage opportunity gets harder to access.
𝘐𝘯 𝘮𝘢𝘬𝘪𝘯𝘨 𝘢𝘯 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯, 𝘪𝘯𝘷𝘦𝘴𝘵𝘰𝘳𝘴 𝘮𝘶𝘴𝘵 𝘳𝘦𝘭𝘺 𝘰𝘯 𝘵𝘩𝘦𝘪𝘳 𝘰𝘸𝘯 𝘦𝘹𝘢𝘮𝘪𝘯𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘵𝘩𝘦 𝘪𝘴𝘴𝘶𝘦𝘳 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘵𝘦𝘳𝘮𝘴 𝘰𝘧 𝘵𝘩𝘦 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘵𝘩𝘦 𝘮𝘦𝘳𝘪𝘵𝘴 𝘢𝘯𝘥 𝘳𝘪𝘴𝘬𝘴 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘥. 𝘋𝘐𝘛 𝘈𝘨𝘛𝘦𝘤𝘩 𝘩𝘢𝘴 𝘧𝘪𝘭𝘦𝘥 𝘢 𝘍𝘰𝘳𝘮 𝘊 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴 𝘢𝘯𝘥 𝘌𝘹𝘤𝘩𝘢𝘯𝘨𝘦 𝘊𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘪𝘯 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘪𝘵𝘴 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘢 𝘤𝘰𝘱𝘺 𝘰𝘧 𝘸𝘩𝘪𝘤𝘩 𝘮𝘢𝘺 𝘣𝘦 𝘰𝘣𝘵𝘢𝘪𝘯𝘦𝘥 𝘩𝘦𝘳𝘦: https://bit.ly/4bzuWCi
GM to the Top 1% ☕
Two reps on the same team, same territory, same tool stack. One is at 112% going into the last quarter. The other is at 61% and has been "using AI" longer.
I sat with both of their workflows last month. The gap was not effort and it was not talent. The rep at 61% was asking the model to write things. The rep at 112% was asking it to argue with her.
Three days before a competitive close, she had it build the strongest possible case for the other vendor, then spent an hour dismantling it. She walked into that room having already lost the deal in private.
💡 PARTNERING IS A SKILL, NOT A PURCHASE
Gartner surveyed 1,026 B2B sellers and found that reps who effectively partner with AI are 3.7 times more likely to make quota than reps who do not. Meanwhile industry quota attainment is sitting near 43.5%.
Read those two numbers together and something uncomfortable falls out. If the tools alone were the differentiator, attainment would have moved by now. Nearly every seller has access. The multiplier is not attached to owning the tool. It is attached to a specific way of working with it, and that way is rarer than adoption statistics make it look.
The word doing all the work in that finding is "effectively." Most reps use AI as a faster typewriter. It drafts the email, summarizes the call, cleans up the proposal. That is real time saved, and it is worth almost nothing competitively, because the rep across the table saved the same hour on the same tasks.
The 3.7x sits somewhere else entirely. It shows up when the model is used to pressure test judgment rather than to produce output. Output is now free. Judgment is the only thing left with a price on it.
You do not need a better tool this quarter. You need a harder question to ask the one you have.
🔧 THE ADVERSARIAL PREP LOOP
Four moves that turn your AI from a drafting tool into a sparring partner. Run this on your largest open deal today.
1. Make it argue for the competitor: Feed it everything you know about the deal and ask it to build the strongest case for the other vendor, in the buyer's own language. If the case it builds surprises you, you were not ready for the room.
2. Make it play your hardest stakeholder: Not the champion. The skeptical finance lead who has already killed two projects this year. Run your pitch at that persona and let it object until you run out of answers. The place you run out is your actual gap.
3. Make it find what you did not ask about: Give it your discovery notes and ask what a thorough seller would have asked that you did not. Nine times out of ten there is a question about budget process or internal politics sitting in that list.
4. Write the answer yourself: Every gap it exposes, you close in your own words. Do not let it draft the fix. The whole point is that the judgment ends up in your head, not in a document you paste from.
🎯 THIS WEEK'S HOMEWORK
Take your single biggest open deal and run step one before Wednesday. Have your AI build the competitor's winning case against you, and write down the one argument in it you cannot currently beat. That argument is your entire quarter in one sentence, and you now have thirteen weeks to fix it instead of finding out in December.
❓ QUESTION OF THE DAY
When you open an AI tool, are you asking it to produce something or asking it to challenge something?
Reply with which one. The honest answer predicts your number better than your pipeline does.
☕ SHARE MORNING SALES AND EARN REWARDS
You are at {{rp_num_referrals}} referrals, just {{rp_num_referrals_until_next_milestone}} from the next reward. Send this to the rep on your team who is busy automating tasks nobody was going to grade them on. Your link: {{rp_referral_hub_url}}
See you tomorrow.
Edward
Founder, Morning Sales
P.S. Adversarial prep only works if the prompt is sharp enough to get a real answer instead of a polite one. The 500 AI Sales Prompts manual has the exact competitor-case and hostile-stakeholder prompts I run before every close. 27 dollars, and you can use the first one this morning: https://store.edwardgorbis.com

