The Information
Our hypothesisAI will drive the largest reskilling in history over the next 5 years
Private equity is the leading indicator. The rest of the enterprise market will follow.
Our hypothesis
Three waves over the next 5 years.
- 01 · Enterprise-funded AI reskilling
- 02 · Severance-funded AI reskilling
- 03 · Government-funded AI reskilling
Wave 1
Enterprise-funded
AI reskilling
Publicly traded companies are rolling out AI transformation programs with reskilling baked in. Performance in those programs will determine who keeps their job.
Wave 2
Severance-funded
AI reskilling
Retraining becomes part of the severance package. A credible reskilling pathway is the social, legal, and reputational answer to AI-driven layoffs.
Wave 3
Government-funded
AI reskilling
As unemployment rises, federal and state budgets deploy large pools to retrain the unemployed. Nascent AI-reskilling packages are already expanding rapidly.
Wave 01:Enterprise-funded AI reskilling
Forbes
Mar 21, 2026
PE Firms Offer AI Labs A $14 Billion Shortcut To Enterprise Adoption
Financial Times
OpenAI in talks to commit up to $1.5bn to private equity joint venture
Bloomberg
May 4, 2026
OpenAI Finalizes $10 Billion Joint Venture With PE Firms to Deploy AI
Financial Times
Blackstone and Goldman among backers for $1.5bn JV with Anthropic
Accenture
AI across the enterprise is not plug-and-play
Fortune
Accenture CEO: failure to use AI will cost workers a promotion — or their job
Fortune
Oct 1, 2025
Citi begins retraining 175,000 employees in working with AI
Google DeepMind
Apr 22, 2026
Partnering with industry leaders to accelerate AI transformation
PR Newswire
Apr 22, 2026
McKinsey and Google Cloud launch the McKinsey Google Transformation Group
Google Cloud
Apr 22, 2026
Accenture and Google Cloud expand partnership to scale agentic transformation
IBM
Dec 02, 2025
IBM and AWS strengthen partnership to accelerate enterprise agentic AI
QuantumBlack
End-to-end AI transformation
The Information
Private Equity's AI Deals Lighten the Mood at Milken
Forbes
Mar 21, 2026
PE Firms Offer AI Labs A $14 Billion Shortcut To Enterprise Adoption
Financial Times
OpenAI in talks to commit up to $1.5bn to private equity joint venture
Bloomberg
May 4, 2026
OpenAI Finalizes $10 Billion Joint Venture With PE Firms to Deploy AI
Financial Times
Blackstone and Goldman among backers for $1.5bn JV with Anthropic
Accenture
AI across the enterprise is not plug-and-play
Fortune
Accenture CEO: failure to use AI will cost workers a promotion — or their job
Fortune
Oct 1, 2025
Citi begins retraining 175,000 employees in working with AI
Google DeepMind
Apr 22, 2026
Partnering with industry leaders to accelerate AI transformation
PR Newswire
Apr 22, 2026
McKinsey and Google Cloud launch the McKinsey Google Transformation Group
Google Cloud
Apr 22, 2026
Accenture and Google Cloud expand partnership to scale agentic transformation
IBM
Dec 02, 2025
IBM and AWS strengthen partnership to accelerate enterprise agentic AI
QuantumBlack
End-to-end AI transformation
AI labs, private equity, and the global consultancies are funding multi-billion-dollar vehicles whose explicit job is to deploy AI inside operating companies. Deployment creates workforce transformation — the reskilling demand follows mechanically.
$10B+
OpenAI / TPG / Brookfield / Bain AI deployment JV
$1.5B+
Anthropic / Blackstone / Goldman / GA enterprise AI JV
$1B / 775K
Accenture LearnVantage investment and workers already trained in gen AI
Woolf angle
Every dollar of deployment capital generates workforce learning that today lives as disconnected badges and internal certificates. Woolf is the model-neutral credentialing layer that turns it into accredited, portable academic credit — and Accenture is already a Woolf customer.
Wave 02:AI-driven job cuts
The second wave is no longer hypothetical. Announced layoffs increasingly cite AI as a leading reason, and the structural exposure estimates from major institutions have not softened.
10-15%
Of U.S. jobs could be eliminated within five years, per BCG Henderson Institute
60%
Of jobs in advanced economies are exposed to AI; ~40% globally, per the IMF
25%
Of March 2026 announced U.S. cuts cited AI as the leading reason, per Challenger
Woolf angle
When AI is the named reason for a layoff, retraining stops being optional. A credible reskilling pathway becomes the social, legal, and reputational answer — and Woolf has proven the value of accreditation for that pathway with Accenture and Udacity.
Wave 03:Government-funded AI reskilling
State workforce budgets are active, the procurement bar is often lower than assumed, and weak vendors are already winning. Federal cuts to higher-ed funding push more retraining capital through state and workforce rails.
$3.2B
PY2025 WIOA Youth, Adult, and Dislocated Worker formula funding (U.S.)
$539M
California PY2025 WIOA allotment — the largest state pool
$2–4M
NY AI Prep per-track / total caps — example of new AI-specific state funding
Budget rails
- Traditional WIOA formula funding (≈$3.2B in PY2025) is being redirected by states toward AI readiness, advanced manufacturing, and digital skills.
- New AI-specific state initiatives are being created on top of WIOA — explicit AI workforce RFPs, CHIPS-funded AI training, and employer-driven training grants.
- State-employee AI adoption training is its own fast-growing market — Massachusetts, Pennsylvania, and Maryland are scaling ChatGPT/Gemini deployments with structured workforce training.
Active states
New York
$2–4M
AI Prep RFP via Empire State Development — capped per track and total. SUNY conditionally selected for internships, Pursuit for jobs.
Source ↗
Oregon
$10M
CHIPS Act funding directed to semiconductor and AI workforce development, plus an MOU with NVIDIA for AI education and state-agency use cases.
Source ↗
Wisconsin
$7.3M
WisTRAIN — employer-driven training initiative through Wisconsin DWD focused on advanced manufacturing and AI.
Source ↗
California
$539M
Largest WIOA pool. AI workforce push runs through community colleges, CSU, UC, and 28 AI FAST grants of $150–200K each.
Source ↗
New Jersey
$1.5M
FY2025 budget allocation for AI education grants covering K-12 and AI career and technical education pathways.
Source ↗
MA · PA · MD
40K+ employees
State-employee AI rollouts: Massachusetts (ChatGPT via OpenAI/Carahsoft, ~40K employees), Pennsylvania (governed ChatGPT Enterprise pilot), Maryland (Gemini with InnovateUS training).
Source ↗
Woolf angle
In the third wave we expect these budgets to grow rapidly as a national response plan is implemented for AI reskilling. Woolf will begin accessing these budgets now so we are ready when they scale.
Why Woolf
HR does not understand a weekend ‘mastering AI’ course. They do understand a master’s degree in AI.
1
Deploy
AI labs and PE owners push model adoption into live company workflows.
2
Transform
Consultants and operating teams redesign processes, roles, and work habits.
3
Learn
Employees build new capability while doing real work with AI systems.
4
Credential
Woolf converts verified learning into accredited, portable academic credit.
Ask the data room
Why does accreditation matter when AI can teach the content — and why isn’t this just a content sale?
Beyond the transcript
Not just accreditation.Talent intelligence.
- Real degrees get learners to the finish line.
- A transcript can’t tell employers what a graduate can actually do.
- Woolf adds talent intelligence — a live competency model under every credit.
The credit transcript
Accredited academic record
- Statistical InferenceB+
- Machine Learning FoundationsA−
- Data EngineeringB
- Causal InferenceC+
- Capstone — Data StrategyA
GPA3.42
ECTS-backed credit, signed and on-record. The motivation engine that gets cohorts from week one through capstone.
The talent intelligence layer
Competency Report
Knowledge
84
Skills
79
Competences
71
92Exceeds
Critically evaluate statistical inference techniques.
58Developing
Design and execute causal inference studies in observational settings.
Updated 6 minutes ago · 23 evidence sources linked.
1,000+ benchmarks
Continuously updated
Approval-gated & signed
Linked evidence trail
Not another online university. Regulated infrastructure for the age of retraining.
Woolf does not need to pick the winning AI model or write the training content. It provides the accreditation, compliance, and credit-recognition system that lets real learning count.
Already on the books
350K
Accredited academic credits already issued by Woolf — not a forecast, not a pilot. The credentialing layer already exists.
Ask the data room anything
Financials, operations, technology, regulatory position, or strategy — grounded in Woolf's source documents.