Cousin's AI Circulation

Tag: AI for Nonprofits

  • The AI Gap Is Becoming a Workflow and Governance Gap

    Astute Intelligence Insights

    Do More of What Matters.
    Big Picture Edition Vol. 2, No. 24 2026-09-18
    The AI Gap Is Becoming a Workflow and Governance Gap
    By Warren Wiggins — Astute Intelligence

    The Trend

    The next AI divide may be less about who has access to a chatbot and more about who has a repeatable way to use one. The nonprofit benchmark from Virtuous and Fundraising.AI reports high adoption but much lower organizational change. It points to governance, documented workflows, cross-team ownership, and measurement as the foundations behind stronger results. Read the benchmark findings

    The Federal Reserve Bank of San Francisco adds a small-business view: nearly 40% of 2024 survey respondents said they were using or planning to use AI, while others held back because of accuracy, intellectual property, training, or fit concerns. Read the Federal Reserve analysis

    What It Means for Mission-Driven Organizations

    Access alone does not close an equity gap. A well-resourced organization can pay for training, test several tools, and assign someone to review risk. A small nonprofit, school, or local business may ask one person to do all three jobs. If the sector treats AI readiness as a private advantage, the gap can widen.

    There is also a risk on the other side. A rushed pilot can move faster than the team’s ability to check accuracy, protect personal data, or explain a decision. A pause can be wise when the stakes are high. A pause without a learning plan can become exclusion. The practical middle is a small, documented experiment with a clear stop rule.

    Strategic Question of the Week

    What is the smallest workflow we can test in a way that a staff member, board member, or community partner could understand? Write down the manual alternative, the AI-assisted version, the reviewer, and the evidence that would make you continue or stop. A basic policy guide for nonprofits recommends defining acceptable use, prohibited use, data protection, human oversight, vendor review, and staff training. See the sample policy guide

    Weekend Read

    Start with the 2026 Nonprofit AI Adoption Report. Read the methods and limitations, then ask whether your organization is measuring more than speed. If you are only counting faster drafts, you may be tracking activity rather than mission progress.

    Curated by Warren Wiggins | Produced with Perplexity Computer

    Curious how this applies to your organization specifically? Book a conversation with Warren. Book a conversation
    Curated by Warren Wiggins | Produced with Perplexity Computer

  • Nonprofits Are Using AI, but Most Have Not Built a System Yet

    Astute Intelligence Insights

    Do More of What Matters.
    Week Ahead Edition Vol. 2, No. 22 2026-09-14
    Nonprofits Are Using AI, but Most Have Not Built a System Yet
    By Warren Wiggins — Astute Intelligence

    The Big Story

    A new benchmark from Virtuous and Fundraising.AI points to a gap many nonprofit leaders will recognize: AI use is common, but shared practice is not. The study surveyed 346 nonprofit organizations. It reports that 92% use AI in some way, while only 7% report major improvements in what their organization can accomplish. The report also says 81% use AI in an ad hoc way and 47% have no AI governance policy. Read the 2026 report

    That does not mean the other 93% failed. It means drafting and brainstorming are easier than changing how a whole team works. A tool can help one person move faster while the organization keeps the same handoffs, approvals, and weak data habits.

    Warren’s Take

    We should resist two easy answers. “Use AI more” ignores trust and workflow design. “Wait until the technology settles” can leave smaller teams further behind. A better starting point is one low-risk workflow, one named owner, and one measure of quality. Well-resourced organizations can build this quickly. Small nonprofits may need a shared template, peer support, or a short pilot. The equity question is who gets the time to learn.

    Story #2: Small businesses are interested, but readiness is uneven

    The Federal Reserve Bank of San Francisco reports that nearly 40% of respondents in its 2024 Small Business Credit Survey said they were using or planning to use AI. The same research describes barriers that include policy limits, staff training time, system changes, accuracy concerns, and intellectual-property questions. Read the Federal Reserve analysis

    Warren’s Take

    Interest is not readiness. A two-person shop may not have a dedicated technology lead. Start with a use case where a person can check every output. Write down what information may enter the tool and what must stay out.

    Story #3: Capacity-building is becoming part of AI readiness

    Apparo and Regions Bank described a ten-week cohort that helped nine nonprofits serving small businesses work on technology plans, cybersecurity, and AI readiness. The example matters because it treats adoption as a people-and-process challenge, not only a software choice. Read the cohort announcement

    Warren’s Take

    Training works best when it is tied to a real task. A workshop without a next step can fade. Ask each participant to leave with one approved workflow, one risk to watch, and one question for leadership.

    Practical Tip of the Week

    Make a one-page AI workflow card. Name the task, the approved tool, the data boundary, the human reviewer, and the quality check. Add two alternatives: a manual process for sensitive work and a second tool for a different privacy or collaboration need. Review the card after 30 days. If no one can explain what changed, the workflow is not ready to expand.

    By The Numbers

    The Virtuous study reports 92% AI use, 7% major mission-level improvement, 81% ad hoc use, and 47% without an AI policy. These are survey findings, not a promise about every organization. Source and methodology

    Curated by Warren Wiggins | Produced with Perplexity Computer

    If your team wants hands-on help thinking this through, you can book time with Warren. Book a conversation
    Curated by Warren Wiggins | Produced with Perplexity Computer

  • Nonprofits Get a Longer Runway for Practical AI

    Astute Intelligence Insights

    Do More of What Matters.
    The Week Ahead Edition Vol. 2, No. 16 2026-08-31
    Nonprofits Get a Longer Runway for Practical AI
    By Warren Wiggins — Astute Intelligence

    The Big Story: Nonprofits Get a Longer Runway for Practical AI

    Tech To The Rescue and Google.org announced a new AI Impact Scaling Program cohort for 15 social-impact organizations. The organizations will spend 12 months in an AI enablement program with support for data readiness, cybersecurity, responsible AI, and a peer community of more than 50 organizations. Tech To The Rescue’s announcement

    That detail matters. Many smaller nonprofits do not need another broad promise that AI will “transform” them. They need time to clean up data, test one workflow, train staff, and set rules before a tool touches client or donor information. A cohort model can turn adoption into a shared learning process instead of a solo experiment. Tech To The Rescue’s announcement

    The catch is access. A program for 15 organizations cannot serve every community that needs support. It also assumes a nonprofit has enough staff time to participate. The wider lesson is to ask for the same building blocks locally: a clear use case, a data check, a small pilot, a named reviewer, and a way to stop when the risk is greater than the benefit.

    Warren's Take

    I like the direction, with one condition: “AI readiness” cannot mean only buying a tool. It should mean people have time to learn, clients understand how their data is used, and leaders can explain when a human made the final call. If your organization cannot fund a formal cohort, start with two partner organizations and share a simple test plan. That is slower than a launch announcement, but it is more likely to hold up.

    Story #2: Small-Business Finance Tools Are Becoming Connected Workspaces

    At Xerocon Denver, Xero announced new AI features through its JAX platform, including connections with Microsoft 365, Claude, and ChatGPT. Xero also described tools for document capture, bank reconciliation, anomaly signals, payment follow-ups, and a natural-language agent builder called XeroForce. Xero’s announcement

    For a small business, the appeal is not “AI” by itself. It is having fewer handoffs between the ledger, documents, and the workday. But financial workflows deserve a high bar. Xero says customers can review and accept XeroForce actions, and that exceptions still need human expertise. XeroForce is still in early access, so availability and behavior may change. Xero’s announcement

    Warren's Take

    Treat connected finance tools as assistants, not bookkeepers with unlimited authority. Ask what data leaves the system, who can approve an action, and how you will audit a correction. If your team runs on Google Workspace, Gemini offers a different path inside tools many staff already use, with access tied to existing Workspace permissions. If you run on Microsoft 365, Copilot is another integrated option. The right choice depends on your existing systems, not on which vendor has the loudest launch.

    Story #3: Agent Safety Is Now a Buying Question

    On August 25, AWS disclosed a consent-bypass vulnerability in the open-source Strands Agents Tools package. The issue affected versions below 0.8.5 when the `python_repl` and `batch` tools were registered together. AWS said a crafted prompt could bypass the human approval gate and execute Python code on the agent host; it recommends upgrading and keeping such agents away from untrusted content. AWS security bulletin

    This is a useful warning for small teams experimenting with agents: a prompt is not an access-control system. Tool permissions, isolation, least privilege, and a patch process still matter. AWS security bulletin

    Warren's Take

    You do not need to build an agent to learn from this. Before connecting any AI system to email, files, finances, or a live website, list the actions it can take. Remove actions it does not need. Require approval for the rest. The goal is not perfect safety. The goal is to make a mistake containable.

    Practical Tip of the Week: Write a One-Page AI Pilot Card

    Before your next experiment, write five lines: the problem, the data involved, the human owner, the stop rule, and the measure you will review after two weeks. Add one sentence on who could be left out if the tool works only for people with fast internet, newer devices, or extra time. A one-page card gives a small team a shared starting point without pretending that every risk can be solved in advance.

    By The Numbers

    • **15 organizations** are in the new Tech To The Rescue and Google.org AI Impact Scaling cohort, with a 12-month program and specialized support. [Tech To The Rescue](https://www.techtotherescue.org/news/tech-to-the-rescue-google-org-ai-impact-scaling-program-cohort)

    • **37 states** have published official AI guidance for schools, according to an Associated Press report carried by ABC News. [ABC News](https://abcnews.com/Business/wireStory/schools-starting-teach-ai-literacy-means-helping-kids-135828389)

    • **More than 180 organizations** signed the EU Code of Practice on transparency of AI-generated content, according to the European Commission. [European Commission](https://digital-strategy.ec.europa.eu/en/news/commission-starts-enforcing-ai-act-rules-and-new-transparency-requirements-2-august)

    These numbers point in the same direction: access, training, and guardrails are becoming part of adoption. The organizations that can make room for those basics will be better positioned than those that only chase features.

    If your team wants hands-on help thinking this through, you can book time with Warren. Book time with Warren

    If your team wants hands-on help thinking this through, you can book time with Warren. Book time with Warren
    Curated by Warren Wiggins | Produced with Perplexity Computer

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

    Weekly Dispatch · Monday Edition · June 29, 2026

    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.

    § The Big Story

    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

    Cousin’s Take

    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.

    § Story #2

    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

    Cousin’s Take

    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.

    § Story #3

    $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

    Cousin’s Take

    $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.

    § Practical Tip of the Week

    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.

    § By the Numbers

    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

    Weekly Dispatch · Monday Edition · May 18, 2026

    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.

    Schedule a Strategy Session

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