The business & data school built for the age of AI.
AI has changed what good work is. The companies defining the next decade are building for it in 2026 — not waiting to see how it settles.
Backed by Mines Paris–PSL and Europe's leading entrepreneurs, we are honest thinkers and concrete builders.
We train your leaders, put student teams on your real problems, and supply the hybrid talent the decade demands — from one renewing partnership.
One conversation. We'll help you find the right place to start.
Companies already building with us:
Why this matters
Everything we build answers three precise ruptures AI has opened. Here they are, plainly.
I
Self-directed learning is no longer a virtue. It's a survival requirement.
Frameworks and tools learned this year are largely obsolete in three. No fixed curriculum survives contact with the real world long enough to justify itself. The durable skill is learning fast, on any new tool — not memorising this year's content.
II
It destroyed the friction that used to make “I don't know” visible.
Not knowing used to create friction — you searched, asked, consulted, and that told you where your understanding ended. AI removed it. People now produce fluent, confident work on topics they don't understand, with no warning signal. The most dangerous person in any organisation is the one shipping polished, wrong work at scale, never trained to doubt it.
III
The real challenge is no longer training. It's hiring and managing AI-augmented people.
A skilled professional with AI produces, conservatively, twice what they did before. Evaluation, progression, team design and pay bands all assume the old standard. For any company whose edge depends on rare talent, this is the structural challenge of the next five years.
Three ruptures. One partner built to answer them.
The stakes aren't theoretical
the global corporate-learning market.
annual growth of AI-specific training to 2031.
of senior leaders say their company lacks the AI skills to compete.
Sources: corporate-learning market and AI-training CAGR estimates; WEF reskilling data. (Public figures.)
Most companies are stuck at stage two — "pilot purgatory." See where you land in two minutes.
Self-assessment
Five questions, two minutes. There are no wrong answers and no gate — you'll get a tailored "start here" at the end whether or not you leave your details. It is never too late to begin: a company founded last year and one founded a century ago start from the same line — the decision to build for it.
Discover Albert School
The shift
"If AI vanished from our school tomorrow, would anything change? For most schools, no. For us, yes."
The honest test
The trap most companies fall into
of Gen Z report anger toward AI.
say they've quietly resisted their employer's AI strategy.
The mood around AI has turned, hardest among your best talent. And the research is clear: AI improves thinking when it's scaffolded by people, and erodes it when imposed unstructured. A top-down, cost-cutting rollout doesn't just risk a bad headline — it repels the very people whose engagement decides whether the investment pays off.
Sources: Gallup/Walton 2026; cognitive-offloading research, 2025. (Public figures.)
So the question isn't whether to face AI. It's how.
Judgment, governance, org redesign — the work of rethinking how decisions get made.
Attract the best tech and non-tech talent — the people who want to shape the future, not brace against it.
Help your people — and society — shape the future of work, responsibly.
Only a credible, independent, AI-native + people-first school makes all three real — a vendor can't.
The three ways
A vendor can sell you the training. Only a school can make three things true at once: a Mines Paris–PSL-grade credential behind the work, live student talent you can meet and hire, and a people-first stance you can stand behind. That combination is the one no one else holds — and it is what turns an AI rollout into a transformation, a talent magnet, and a credible position on the future of work.
All three are the same relationship at different depths. Pick the door that fits where you are. Whether you start with one project or a full partnership, think and build ambitiously — we're here for that.
A team of four Albert School students works your live business or data challenge — real analysis, real prototypes, faculty oversight, and a first look at the talent. The warmest, lowest-commitment way to see what we do.
Autumn (S1) closes in ~6 weeks — last spots.
Explore Business Deep Dives →A transformation journey, not a one-off workshop — from status quo to AI-native, led with the judgment, governance and people-first content only a school can credibly teach.
Explore Executive Education →AI-native graduates with a hybrid profile — business, data and AI in one person. Internships, apprentices, full hires; many you'll meet have already solved a real problem on a Business Deep Dive.
Explore Talent →Future Partners
Or build across all of it — one renewing relationship.
20 cohorts · ~250 leaders · 8.7/10
Société Générale, our flagship executive-education reference.
100+ Business Deep Dives
delivered across five campuses.
~30 → 900 students in four years
2,000+ professionals trained — the talent pipeline behind it.
Luxury
Moncler
Workforce planning across a global retail network.
Tech · Milan
A data-driven go-to-market strategy for a new market.
Wealth · Geneva
Crédit Agricole Indosuez
Twelve years of wealth data turned into business-development tools.
Banking · Milan
UniCredit
A GDPR-compliant AI architecture for SME analysis.
Across finance, luxury, tech, industry and the public sector
Mines Paris–PSL academic partnership · backers include Xavier Niel, Bernard Arnault and Rodolphe Saadé.
People-first isn't a slogan: through the Margaret Endowment Fund we widen access to tech for under-represented talent.
Backed by Europe's leading entrepreneurs
…and 25+ founders — PayFit, Veepee, Contentsquare, Voodoo, ManoMano, Meetic and more.
Meet the leaders backing us →What we believe
01
Everyone can now produce an acceptable first draft. The baseline rises on its own. The bar for excellence does not.
03
Whoever uses AI owns the result. “The AI said so” is not a defense — for a student, a manager, or a CEO.
04
On decisions that carry real weight — hiring, capital, strategy, people — a person stays accountable.
One conversation is all it takes to find the right place to start — a Deep Dive, a leadership programme, or a full partnership. Tell us what you'd like to build, and we'll route you to the right person.
