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
Good morning. For years, the smart home has been a polite collection of commands: “turn off the lights,” “set the thermostat,” “why is the porch camera yelling at me?” Google is now opening an Early Access route that lets compatible AI clients interact more directly with that layer through Google Home MCP. Read Google’s Home MCP guide.

Illustration: a more helpful home, with the keys still in your pocket.
In practical terms, a connected agent can be set up to inspect device states, look through event history, and send authorized commands to supported home devices. Think less “one more voice assistant” and more “an AI that can check what happened while you were out, then help you do something about it.”
Why it matters
The leap is context. A traditional smart-home app is very good at giving you buttons. An agent connected through Home MCP can work across device history, current state, and a natural-language request. That could make troubleshooting a fussy light, reviewing home activity, or finding the forgotten laundry feel less like remote-control aerobics.
Google’s own documentation makes the scope clear: Home MCP can discover devices, check live states, query past events, and run parameterized actions. The Verge describes this as a separate control layer for third-party agents—not a replacement for Google’s Gemini for Home.
Before you hand over the house keys
This is Early Access, not a “set it and forget it” household upgrade. Google lists an active Google Home Premium Advanced subscription, a Google Cloud project, and an MCP-compatible client as prerequisites. TechCrunch reports the initial rollout is limited to U.S. Premium Advanced subscribers, with no announced broader schedule.
More importantly, Google warns that connecting a real home to an AI agent can produce unexpected or undesired behavior. Home MCP says it blocks sensitive actions such as unlocking doors, but Google still urges users to review policies, tell other household members, and revoke access when needed. Also, agents cannot yet create or manage automations through Home MCP—so the robot butler still cannot rewrite the chore chart.
Bottom line
Smart homes are moving from button panels toward agent-accessible systems. That can be genuinely useful, provided “make the house smarter” does not quietly become “give a chatbot the whole breaker box.”
That is your morning signal. Let the agent adjust the lights; keep the house keys in your pocket.


