Lynnerup & Ansell Prepared for ECMC Foundation · Confidential

The AI funding landscape in postsecondary education

Where philanthropic attention sits against where the evidence of institutional need is strongest, mapped from public filings and primary documents. Every claim carries the grade of the source it came from.

What this is. An outside-in answer to the three research questions in ECMC Foundation's Postsecondary AI Funding Landscape RFP, assembled from public filings, funder grant databases, federal award records and secondary research. It was built without conducting a single interview.

How to read the plot. Each point is a topic. Its position on the horizontal axis is how much funder activity we could verify. Its position on the vertical axis is how strong the evidence of institutional need is. The upper left is where need is well evidenced and funders are absent. The lower right is where money is concentrated on claims the evidence does not yet support.

What it deliberately does not do. No invented figures. Where a number could not be sourced, the cell reads unsourced rather than carrying an estimate. Cash and in-kind are never combined. No individual at a peer foundation is named in an evaluative context. Treat this as the floor of what the commissioned research would establish, and not its ceiling.

Lens
Domain

Research Question 3

Funder activity mapped against strength of need evidence

The RFP asks for these two elements mapped against each other, with areas of saturation and opportunity identified. This is that map. Click any topic for its evidence.

← No funder activity foundFunder activity crowded →
Cell shading runs on evidence of need minus verified funder activity Money outruns evidence Evidence outruns money

Research Question 2

The evidence behind institutional need

The five domains named in the RFP, each rated for how much evidence actually stands behind claims made about it. None of the five rates strong.

Research Question 1

The funder landscape, and what each has actually committed to AI

Sixty funders and vehicles, in three strata. Peer candidates are the reconstruction of ECMC's Center for Effective Philanthropy cohort, which is confidential to ECMC and selected by the commissioning funder; we intersected CEP's published roster with postsecondary and workforce fit, and it remains our assumption. AI-native covers technology and corporate funders a mission-defined cohort would never surface. Vehicles are pooled funds and federal programmes. Cash and in-kind are never combined, because most headline corporate figures are licence value rather than money.

Stratum
FunderTotal grants paidCommitted to AITypeBasis for the AI figureCEP GPR

Interrogate the evidence

Ask the corpus

Grounded strictly in the compiled evidence base. It cites the records it uses, and when the evidence does not support an answer it says so and names the interview that would resolve it. The refusals are the point.

The proposal

What we would do with four to six months

Submitted 31 August 2026 in response to the RFP released 15 July. Five months, November 2026 through March 2027, delivering the full scope of work: fifteen to twenty peer funder interviews, synthesis across the five institutional domains, and the two mapped against each other. The baseline below is what a weekend produced without interviews. The engagement is what converts it into knowledge.

$150,000Total, inclusive 5 monthsNov 2026 to Mar 2027 360 hrsPartner-delivered 15–20Peer interviews 12 monthsHosting included
PhaseWhenDeliverables and milestones
MobilisationNov, wks 1–2 Confirmed cohort and interview list. Agreed protocol. Instrument re-baselined to the confirmed cohort.
Data collectionNov–Dec Interview log with graded findings. Extended evidence base. Interim read-out to staff in mid-December.
SynthesisJan–Feb Draft themes memo. Draft saturation and opportunity map. Working session with staff.
DeliverablesFeb–Mar Full report. Executive summary. Visual framework. Staff presentation. Instrument and data transfer.
Budget lineRateHoursAmount
Rasmus Lynnerup, Senior Partner and Engagement Lead$450/hr140$63,000
Charles Ansell, Senior Partner$450/hr100$45,000
Research Analyst$150/hr120$18,000
Instrument hosting, compute and model usage, 12 months$12,000
Travel and expenses$12,000
Total fixed investment360$150,000

Rates are fully loaded. There is no separate indirect or overhead charge and no subcontractor line. At standard rates this scope prices at $178,500; the total reflects a $28,500 reduction combining our non-profit discount with a further reduction recognising that the baseline research is already complete.

Read the full proposal

Twelve pages. Technical approach, work plan, stakeholder engagement, qualifications, line-item budget with optional add-ons, intellectual property disclosure, and references.

Download PDF PDF · 12 pages · 31 August 2026

What the money buys

Verified primary intelligence. Unstated theories of change, the budget reality behind the public number, what funders quietly stopped funding. Desk research cannot reach any of it.

A living instrument. The field will move between award in October and delivery in March. Twelve months of hosting and model usage are inside the fee, so what ECMC keeps continues to work.

The first AI learning agenda in the field. No peer funder has published one. Question 1(d) asks what they are; on present evidence, ECMC can author the answer.