RAIN — Week of July 13, 2026
This week Indigenous leaders push back on AI data centers straining tribal water and land, as a Purdue survey finds most farmers see no benefit yet from farm AI.
Upcoming Events with the Center for Rural AI
AI for Business — AI Skilling in the Workplace (Workshop)
July 23, 2026 · 12:30 – 2:30 PM · Fort Lewis College Center for Innovation, 835 Main Avenue, Suite 225, Durango, Colorado (inside the Main Mall, downtown Durango, second floor) · Free · Capacity: 65
A free, 2-hour workshop brings local business leaders together to explore how AI is solving real workplace problems, which tools are in use, and the skills employers are developing. Share experiences with peers and help identify the AI skills that should guide local training so the workforce is prepared for today and the future.
Ask Amy
Hi, I'm Amy, and I'm a real person. Have you got something about AI you have been wondering about, worrying over, or arguing with your neighbor about? Send it here. There is no such thing as a question that is too basic. The basic ones are usually the best, and often the ones we learn the most from answering. I read everything that comes in, but I can only answer one or two a week, so it may take a while or I may not get to yours if it's really similar to another. But, please, ask away!
Stories of the Week
Data centers are booming. Indigenous leaders want help protecting their lands.
At the UN Expert Mechanism on the Rights of Indigenous Peoples, tribal delegates demanded that hyperscale AI data centers follow free, prior, and informed consent. A single AI facility can draw 100 megawatts or more and consume as much power as 100,000 households, plus vast water for cooling.
US tribes are already acting: the Seminole Nation of Oklahoma, the Eastern Band of Cherokee Indians, and the Sault Ste. Marie Tribe of Chippewa Indians have passed moratoriums, and Tulsa's city council paused a $1B Meta project in March. For tribal leaders weighing similar deals, the lesson is to demand water and energy studies and enforceable consent before signing.
Many growers still find 'no meaningful benefit' from AI use on the farm: survey
In Purdue's latest Ag Economy Barometer, 52% of 400 US farmers surveyed said AI and data-driven tools currently deliver "no meaningful benefit" to their operation. Just 14% expect the tools to cut labor costs, the savings agtech vendors most often promise, while 22.8% think they will boost production.
This is a skeptical, practical audience, and the numbers back up the caution: even a good AI planting recommendation fails when weather or broken equipment makes it impossible to follow. Funders and educators pitching farm AI should lead with proof on the ground, not projections, since 42% of farmers still name high input costs as their top constraint.
Science & Tech Spotlight: AI for Medical Notes and Coding
A new GAO report examines AI "scribes" that draft clinical notes during visits and tools that auto-generate billing codes afterward. Clinician use of these tools rose from 21% to 28% between 2024 and 2026, and one study found scribes cut documentation time by 20%, easing the administrative load behind a 57-hour average clinician workweek.
GAO flags a direct rural concern: under-resourced hospitals, clinics, and small practices may not afford these tools or the training and technical support they require. For rural health leaders, that cost gap risks widening the divide between well-funded systems and the small providers their communities depend on.
West Tennessee Healthcare expands critical care support through eICU Program in partnership with Philips and hellocare.ai
West Tennessee Healthcare is expanding a systemwide virtual ICU program across 127 ICU beds and 17 mobile emergency department carts, using Philips eCareManager and the hellocare.ai platform. The technology links remote clinicians with bedside teams, surfacing AI-flagged alerts so care staff can prioritize the most critical patients.
The system serves 19 counties and more than 600,000 people across West Tennessee and Southeast Missouri, a largely rural footprint where specialist coverage is thin. Virtual critical care puts "an extra set of eyes" on the sickest patients closer to home, a model other rural systems facing staffing shortages should watch.
Syngenta shows how AI accelerates development of crop protection products
Syngenta says AI is compressing years of crop-protection research into months by using predictive models to discover new modes of action and optimize products for specific farm conditions. Its Cropwise platform draws on over 20 years of weather history, soil data, and 80,000-plus crop-growth observations, and every product in it now carries some level of AI.
The company frames this around farmer economics: better, more affordable products designed for the resistance and cost pressures growers face today. But the payoff is distant, with current work still five to 10 years from commercial sale, so growers should treat these as long-term bets, not near-term fixes.
Maine's road to rapid AI adoption in schools
Facing panicked emails from teachers when ChatGPT arrived, the Maine Department of Education built its AI guidance on the state's existing computer science framework rather than drafting a single policy. Officials used a six-step approach, convening students and teachers, setting principles, and issuing a toolkit that is updated as educators send feedback.
Maine's traditional policy cycle was too slow: "by the time you finish that cycle, the technology had already changed." For rural districts with limited staff, the state's adaptable, toolkit-and-coaching model offers a practical alternative to writing formal policy that is obsolete on arrival.
Utah medical licensing board urges state to suspend AI prescriptions
Utah's medical licensing board is urging the state to suspend the use of AI in issuing prescriptions, an early regulatory brake on autonomous clinical decision-making. The move signals growing official unease with letting AI tools make treatment calls without clear physician oversight.
For rural patients who may rely on telehealth and AI-assisted care to reach a prescriber at all, the outcome cuts both ways: guardrails protect against errors, but overly broad limits could narrow already-thin access. Rural health advocates should track how Utah draws the line between assistance and autonomy.
Ag Tech Talk Podcast: Using AI to Unlock the Value of Farm Data
In this Ag Tech Talk episode, leaders from Leaf Agriculture, WhereRobots, and Felt discuss how AI turns fragmented farm data, from equipment telemetry to satellite imagery, into usable answers. Their point: the industry's bottleneck is no longer collecting more data but standardizing and querying it, cutting analysis that once took days down to minutes.
The pitch to growers is to skip another dashboard and get answers inside the workflows they already use, with natural-language queries replacing GIS expertise. For farms and ag advisors drowning in disconnected data files, interoperability, not more sensors, is framed as the real unlock.