RAIN — Week of September 14, 2026

CRAI News

Center for Rural AI Press Release: Open-Source Grant Writing Assistant for Nonprofits

Ask Amy

I use AI a lot in my day-to-day but I know a lot of my friends and colleagues are still unsure what to use it for. What do you think is the most impactful use of AI?    Leigh, Crested Butte, Colorado

Leigh, you sound like me. At this point I use AI for so many things in my day-to-day that speaking authentically about the impact is easy and practical.

In the last month here are some things I have used AI to do. Compare two rental leases and give a summary of the differences with some context. Scanned in the fine print on the back of a disputed bill. The basics of pickling because there are so many influencers out there and I want to do this safely.

Announcing to family and friends that I started an AI advice column has elicited a lot of requests for me to ask AI for them. This has made me realize that a huge amount of adulting involves interacting with systems designed for experts or worse designed to confuse us. The fine print on nearly everything these days from insurance policies to the warranty on my fridge needs translating. Previously, I either had to pay someone or know someone to get some level of understanding. Even then I usually didn’t fully understand and sometimes that cost me bigtime.

Here is my headline: AI is an on-demand translator for the systems that weren't built for you.

Anyone can now paste in the thing that is vexing them and get some clarity, learn something and get some stress-reducing context. It's not a replacement for a real expert when stakes are high but for those "I just need to understand what's happening" moments, it's a genuinely new kind of access. There are a lot of “ah ha” moments for us normies out there. I especially think this is impactful in rural areas where we often need to figure things out ourselves. Leigh, tell your friends to try AI as a translator to remove confusion.

Until next week, Amy

Every column starts with a reader question. Yours can be next: ruralai.org/rain

Stories of the Week

House Passes Bill Aimed at Addressing Impact of Data Centers on Energy Costs

The House voted 417-3 Wednesday for Rep. Gabe Evans' bill directing state utility regulators to consider charging AI data centers the full cost of new power generation and transmission built to serve them. It is a federal recommendation, not a mandate, and leaves rate regulation with the states.

Rural counties are landing the largest campuses, and rural ratepayers absorb the grid upgrades. Rep. Steve Scalise cited Richland Parish, Louisiana, where data center tax revenue funded teacher bonuses of up to $50,000. State commissions now decide what "full cost" actually means.

11 AI Bills Cleared Committee this Summer, But None Has Reached the House Floor

Eleven bills carved out of the 269-page Great American AI Act cleared the House Science Committee in July and none has reached the floor. Rep. Jay Obernolte says they could be merged for a December vote, with the FRONTIER Act possibly getting an Energy and Commerce hearing in November.

The package carries teacher training grants, classroom AI curriculum and workforce programs that rural districts depend on federal dollars to reach. OpenAI's Chris Lehane said rural usage is growing at roughly the urban rate, and the free OpenAI Academy now runs rural sessions built around agriculture.

John Deere dominates farm machinery. Now it's moving deeper into farm data and AI.

An update on JD, the AI assistant Deere launched Sept. 1 inside its Operations Center: it now sits at the center of a competition fight. A July Farm Action report argues equipment makers acquiring precision-ag, AI and data-analytics firms are becoming technology platforms rather than machinery companies. Also covered by AgDaily.

Deere holds nearly 35% of U.S. ag machinery sales and more in large tractors and combines, so a farmer querying yield and fuel data is querying their equipment vendor. July's proposed FTC settlement with five states would force Deere to give independent shops the same repair software dealers get.

Free AI models won't fix scarce public services without public infrastructure

Cheap models that run on local servers will not solve public-sector capacity shortages without the surrounding "harness," this commentary argues: access controls, authoritative data sources, audit logs and hard limits on what a system may decide. Locally hosted AI does keep working where connectivity is unreliable.

The author is blunt that wealthier governments will convert cheap models into real capacity while rural counties and underfunded agencies cannot deploy them safely. The proposed fix is state-level shared infrastructure, technical assistance centers, model evaluation services and purchasing collaboratives, so small jurisdictions aren't each writing governance from scratch.

Tech bills of the week: Community protection from data centers; AI labs for education; and more

Rep. Suhas Subramanyam introduced a four-bill National Data Center Plan covering siting best practices, NIST standards for measuring data center energy and water use, security near facilities, and a Data Center Fair Share Act pushing states toward large-load tariffs. Separate bills would fund K-12 AI labs and pre-K through community college data science curricula.

Siting, water draw and grid tariffs are rural questions first, because land and power are cheapest outside metros. Both education bills would run as Education Department grant programs, worth tracking early for districts with thin grant-writing capacity.

AI-generated cattle scams prompt warnings for livestock buyers

The Texas Department of Agriculture is warning producers that AI-generated livestock images are appearing in fraudulent social media listings, and Commissioner Sid Miller said one producer lost roughly $70,000. Alabama issued a similar alert after buyers drove to collect cattle from operations that knew nothing about the sale.

Online and social media sales are now routine for producers marketing across state lines. Officials advise checking ears, eyes, tails, brands and ear tags for distortion, demanding a live video call, verifying references, and having a trusted third party inspect the animal before money moves.