AI is about to destroy
the livelihoods of
a billion people.

And we're not ready.

Today, 8 billion people produce $105 trillion in global GDP. AI is creating a new reality: a fraction of the workforce produces the same output.

01
Wealth is concentrating. Gains are concentrating in the companies building the machines, the shareholders who own them, and the handful of engineers who designed them.
02
Jobs are not coming back. AI is eliminating entire job categories, not just individual roles.
03
Mass unemployment is on the horizon. Displacement is already happening faster than the economy can create new roles to absorb it.

Most of the displaced have nowhere to turn.

Finding another job isn't a real option when the category of work you were in is being eliminated.

problem

Reskilling is the real answer. But the system is not yet prepared to deliver it.

McKinsey estimates at least 375 million workers globally will need to reskill by 2030. Current infrastructure reaches a fraction of them.

shift

New capital is forming rapidly around reskilling:

$15–50B+ already committed globally by governments, foundations, and the companies causing the displacement

Hover each to learn more

$4 Billion
5-year AI education & workforce commitment via Microsoft Elevate
$1 Billion
2026 grants to mitigate AI's impact on jobs & the economy
July 2026
First-ever Pell Grant eligibility for short-term career training
856M People
Commitments to reach 856M workers globally by 2030
$2.5 Billion
Future Ready 2030: workforce transition for 50M people globally
$5B+
National workforce reskilling pledge for workers displaced by automation
£2B+
Employment support & AI skills transition through 2029
$1 Billion
Gates, Ballmer & Koch coalition for 90M low-income Americans. 15-year commitment
$1 Billion
AI Talent Development Plan: training 11,000 specialists & reskilling workers across all life stages
$1 Billion
Workforce-specific AI transition funding. Sectoral Workforce Solutions Program for displaced workers

...And this is only the beginning.

"Currently, only 0.5% of global gross domestic product (GDP) is invested in adult lifelong learning."

– World Economic Forum

The capital forming around reskilling is real, but it remains a fraction of what's needed. Closing the gap will require infrastructure that doesn't yet exist at scale.

solution

The infrastructure layer between the candidates displaced by AI, the programs built to solve it, and the capital that wants to fund the fix.

For Candidates
An AI agent that meets you at the moment of displacement, understanding not just what you've done, but what you're capable of becoming.
↓

500,000+ vetted programs and pathways: paid, free, government-funded, employer-sponsored, and AI upskilling. All matched to who you actually are, not just your resume. The platform goes beyond job search, routing you to the highest-probability next step.

  • AI interviewer that uncovers motivations, constraints, and latent potential
  • Explainable candidate profile: skills, strengths, readiness, trainability
  • Intelligent routing across jobs, programs, and funding eligibility
  • Real reviews from people who completed programs
For Program Operators
The operating system for scalable reskilling: giving operators demand they can't generate alone and AI capacity to serve 3–5x more people.
↓

Employers, community colleges, workforce nonprofits, bootcamps, and apprenticeship programs tap into a pre-qualified candidate pool at a fraction of the cost of paid advertising or job boards.

  • Unified outcome tracking: enrollment → completion → placement → wage change
  • AI agents for onboarding, coaching, progress tracking, and compliance
  • Performance data that makes ROI demonstrable to funders and governments
  • Network intelligence: what's working, what should be replicated and expanded
For Governments & Funders
The capital allocation layer the market has never had. A map of the pathway landscape, performance data on top of it, and a mechanism to deploy billions with confidence.
↓

By indexing 500,000+ programs, Opportunity Lab identifies where gaps are acute: regions, sectors, and worker segments without credible transition options. This lets funders move from reactive grantmaking to strategic capacity-building.

  • Program performance: who completed, who got placed, who increased earnings
  • Capital deployment for Workforce Pell, WIOA, and AI company commitments
  • Ecosystem coordination across fragmented government, foundation, and employer capital
  • Feedback loop that improves allocation over time

The displacement crisis is coming. The infrastructure needs to exist before it does.

Case Study: COVID-19

In March 2020, the U.S. government needed to move $800 billion in relief to 11.5 million small businesses, in weeks. The portal it built crashed on Day 1. Congress turned to whoever had built the infrastructure to do it.

Kabbage, a small fintech that had spent years quietly building digital lending infrastructure, stepped in. It processed $7 billion in loans and was acquired for $850 million five months later. Not because COVID created its value. Because COVID revealed it.

The infrastructure layer for workforce transition doesn't exist yet. When the displacement crisis peaks, and it will, whoever built it will be indispensable.

unlock

Same displacement. Completely different outcome.

Today's Reality
Tomorrow's Possibility
Displacement

20-minute notice. A cardboard box. No plan.

→
Displacement

Same notice. Same box. That night, she finds the Agent.

Job Search

Opens LinkedIn. Doesn't know what to search for. Her job title no longer exists.

→
Discovery

The Agent asks what she's built for. Motivations. Constraints. What kind of tired feels worth it.

Applications

40 applications. Two weeks. Silence.

→
Matched Pathways

40 minutes later: three matched pathways. Ranked by fit, funding, and proximity.

Retraining

Finds a program. $8,000. Waitlist. Can't afford six months without income.

→
Funded Program

12-week CNA program. Fully funded. Stipend included. Job offer guaranteed on completion.

Outcome

Takes whatever job will have her. Less pay. Wrong fit. Starting over at 40.

→
Outcome

Trains for something she's actually built for. Gets paid while she does it.

Six Months Later

Still not okay. Fell through the gap. Nobody noticed.

→
Six Months Later

She's okay. Nobody fell through the gap.

That moment: wait, I can get paid to do work I love?

That moment is what Opportunity Lab is built to create. For every worker who has a cardboard box, a rent payment, and no idea what comes next.

The North Star

This is the largest labor disruption
in human history.
It is also the greatest opportunity.

Because for the first time in human history: the capital exists to pay for work that the world has always needed:

Caring for the elderly
Restoring ecosystems
Teaching children
Stewarding the land
Mentoring youth
Rebuilding infrastructure
Supporting mental health
Preserving arts and culture

Work that was always essential and never fundable.

We are building the infrastructure that makes all of that possible.

Let's have a conversation →

For workers, employers, and anyone who believes this can go differently