Tag: AI for Nonprofits

  • 92% of Schools Use AI. Only 23% of Students Were Trained to Use It.

    92% of Schools Use AI. Only 23% of Students Were Trained to Use It.

    Microsoft’s 2026 AI in Education Report reveals that nearly every student is already using AI for school — but three-quarters were never taught how.


    92% of Schools Are Already Using AI — But 77% of Students Were Never Trained to Use It

    Microsoft dropped its third annual AI in Education Report last week, and the headline number is both exciting and alarming: 92% of students and education leaders have already used AI for school-related purposes. Educators aren’t far behind — 88% of teachers have used AI in their work.

    Here’s the part that should make every school administrator stop scrolling: 77% of students have never received any formal AI training. 53% of educators are in the same boat. Your students are already using AI — ChatGPT to draft essays, Copilot to research papers, AI tools to prep for class — and most of them have never been taught what good AI use looks like, what the limits are, or how to fact-check outputs.

    The gap is enormous. And the demand to close it is clear: 66% of educators and 52% of students want their institution to provide AI training at least monthly or quarterly. Meanwhile, 58% of education leaders say their schools are already implementing or scaling AI — not testing, not exploring, implementing.

    Microsoft also announced new free AI-powered teaching tools through Microsoft 365 Education, designed with educator feedback and grounded in learning science. If your school is a Microsoft 365 user, it’s worth checking what new features just landed in your account.

    Sources: Microsoft Source — AI in Education Report 2026

    The 92%/77% split is the story. Nearly everyone’s using AI; almost no one’s been taught. That’s not a technology problem — it’s a professional development problem. If you lead a school or work with youth-serving nonprofits, your job this summer is to build a simple, honest AI literacy plan before September. Not a policy. Not a ban. A plan. Start with two questions: what can students use AI for, and how will they cite it? Everything else follows from there.


    Sector-Wide Push: 100,000 Nonprofit Staff to AI Literacy — and $500M in Foundation Backing

    Two big moves happened in the nonprofit world this week that deserve attention together. First: the AI for Nonprofits Sprint — an initiative with a bold goal of bringing 100,000 nonprofit staff members to baseline AI literacy in 2026. The urgency is real: nearly two-thirds of nonprofits are already using AI in some form, but adoption without literacy creates uneven results, staff frustration, and mission drift.

    Second: Humanity AI, a new $500 million pooled grant initiative from ten of America’s most influential foundations, announced its launch with an explicit focus on ensuring AI “delivers for people and communities” — not just shareholders. Pooled grants are starting in 2026, with community-centered AI deployment as the priority.

    Sources: Virtuous — 2026 Nonprofit AI Adoption Report

    The funders are moving. If your nonprofit is working on AI literacy, AI-assisted programs, or responsible AI adoption, this is a strong moment to look at your grant strategy. Humanity AI and similar initiatives are specifically looking for orgs doing this work intentionally — not just experimenting, but building capacity with community accountability. You don’t need to be a tech nonprofit to qualify. You need to be doing the work thoughtfully.


    $800M+ in AI Education Grants Are Available Right Now — Most Schools Haven’t Applied

    If your school or workforce-development nonprofit needs a reason to act: over $800 million in AI education grants are currently on the table, covering K-12 schools, universities, and workforce programs. Both federal and foundation-level funding is active, with specific emphasis on underserved and rural communities.

    One example: the Rural AI Strategy Lab, a collaboration between FullScale and All4Ed, accepted just 13 of 114 applicants from rural school districts looking to lead AI design and implementation. The demand is high. The money is there. The selection is competitive — which means organizations that show up with a clear, community-grounded approach have a real shot.

    Sources: GrantedAI — AI Education Grants 2026 | GovTech — Rural AI Initiative

    $800M sounds big until you realize it’s spread across thousands of applicants. The orgs that win grants right now aren’t the largest — they’re the most prepared. If you don’t have a current AI strategy document, that’s your grant application gap. Even a two-page “AI Readiness Plan” — what you’re using, why, how you’ll evaluate it — gives you something to build an application around. That’s a summer project worth doing.


    Run a 10-Minute AI Audit at Your Next Staff Meeting

    You don’t need a consultant for this. Before your next all-staff or department meeting, ask everyone to write down three things: (1) what AI tools they’re currently using at work, (2) what they use them for, and (3) one question they have about AI they haven’t asked yet. Collect the answers anonymously if needed.

    What you’ll learn in 10 minutes: where AI is already in your org (usually more places than leadership knows), where confusion lives, and where training would actually land. This is your baseline. Organizations that know their starting point are the ones that make real progress — and that baseline is what grant applications and board conversations are built on.


    92%

    Share of students & education leaders who’ve used AI for school

    77%

    Students who received NO formal AI training, despite regular use

    $800M+

    In AI education grants available now for K-12, higher ed & workforce programs


    Subscribe to Cousin’s AI Circulation for more weekly AI insights for mission-driven leaders.


    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, June 2026

  • Microsoft Puts $4 Billion Behind the Workforce-AI Playbook


    Microsoft Puts $4 Billion Behind the Workforce-AI Playbook

    Microsoft’s $4 billion commitment, a draft White House AI security order, and a Brookings warning on 6.1 million at-risk workers — the workforce-readiness picture for mission-driven leaders just got sharper.


    § The Big Story

    Microsoft Puts $4 Billion Behind the Same Workforce-AI Playbook

    Last month we covered the AmEx + Generation + Scholarship America announcement — corporate-philanthropy funding routed through nonprofit intermediaries to train small-business workers in AI. Microsoft just did the same thing, but at a different order of magnitude.

    The Elevate initiative commits more than $4 billion in cash and AI/cloud technology over five years to K-12 schools, community and technical colleges, and nonprofits — with $5 billion in discounts, donations, and grants going to nonprofits in the next year alone (Microsoft On The Issues).

    The headline deliverable for this newsletter’s audience is a new AI for Nonprofits credential co-developed with LinkedIn and NetHope — a structured professional certificate built around the actual work happening across the sector (Microsoft Learn). It’s free.

    Paired with it is a Changemaker Fellowship for nonprofit professionals at organizations with an actionable AI project ready to deploy. This is the same pattern as AmEx — but with Microsoft’s buying power and LinkedIn’s workforce credibility behind it.

    Cousin’s Take

    Two consecutive weeks of this pattern is now a trend, not a coincidence. Corporate philanthropy has decided that AI workforce development is the cause to fund, and they are routing the money through nonprofit intermediaries because that’s the credible delivery layer. The strategic question for any nonprofit, school, or community-college continuing-ed program is no longer “are these programs real?” It is “are we positioned to deliver them — or to send our people through them?”


    § Policy Watch

    White House Drafts AI Security Executive Order Modeled on FDA Drug Approval

    The White House is circulating a draft executive order that would establish a federal pre-release review process for advanced AI models — what NEC Director Kevin Hassett described as “an FDA-style” path for AI (Bloomberg, May 6; Federal News Network).

    The catalyst is Anthropic’s Mythos disclosure — a model demonstrating an unprecedented ability to find and exploit cybersecurity vulnerabilities in widely-used software. The Office of the National Cyber Director has been discussing a framework that would have the Pentagon lead safety testing for federal, state, and local AI deployments. The order is still a draft. The direction of travel is now visible.

    Cousin’s Take

    You don’t build AI. You buy it, or you use whatever comes built into the software you already pay for. So the federal-review question is not abstract: in twelve months, the AI vendors you choose may carry a federal-review label the same way a drug carries an FDA stamp. Start asking your vendors which federal frameworks they expect to meet. Their answer is going to matter.


    § Workforce Data

    6.1 Million American Workers Are at the Highest Risk — With the Lowest Capacity to Adapt

    A new Brookings analysis quantifies what many leaders have been sensing. About 6.1 million U.S. clerical and administrative workers face the highest risk of AI-driven disruption — and they have the lowest adaptive capacity of any worker segment studied (Brookings, 2026).

    The exposure is not evenly distributed. 79% of employed U.S. women in high-automation-risk jobs versus 58% of men. Clerical, administrative, and customer-service roles — the ones most aggressively automated — are disproportionately held by women. Meanwhile, skills evolution in AI-affected jobs has accelerated to 66% faster than the 2024 baseline. Per Anthropic’s fifth economic impact report, the gap between earlier AI adopters and newcomers is widening — not just in adoption, but in sophistication of use.

    Cousin’s Take

    This is the workforce side of the data you’ve been waiting for. The 6.1M number is a planning input — for your HR function, for your workforce-development program if you run one, and for the equity-and-inclusion conversation you’ve already been having. The people most at risk are also the people with the least margin to retrain on their own time. Funding their retraining is not a benefit; it’s a strategy.


    § Practical Tip of the Week

    Run a 20-Minute AI Exposure Audit on One Role

    Pick one staff role on your team — comms coordinator, grants admin, intake specialist, scheduler. List the five tasks they spend the most time on. For each task, mark one of three letters: E (AI could eliminate this task), A (AI could accelerate it), or Q (AI could raise its quality).

    Now look at the pattern. Mostly E → redesign the role around higher-value work, and fund the person’s training to do it. Mostly A → buy the tool, set the guardrails, and measure time saved in 30 days. Mostly Q → train the person to use AI as a quality multiplier, not a replacement.

    Twenty minutes. One role. A plan instead of a worry.


    § By The Numbers

    6.1M

    U.S. clerical and administrative workers in the highest AI-disruption-risk tier (Brookings, 2026)

    66%

    Faster skills evolution in AI-affected jobs vs. 2024 baseline (LinkedIn Workforce data, 2026)

    $4B+

    Microsoft Elevate’s 5-year commitment to nonprofits, schools, and underserved communities (Microsoft, Mar 25, 2026)


    Need a thinking partner this month?

    I’m running free 20-minute strategy sessions this month for nonprofit, school, and small-business leaders working out their AI-and-workforce question. Bring one role, one team, or one program. Leave with a starting point.


    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, May 2026