Andreessen Horowitz is putting $35 million behind a San Francisco AI-focused academy that plans to select students for what they have built, not just the qualifications they have collected. Its first cohort is expected to be about 50 students, and the model offers a pointed new bet on how the AI industry should train its next generation.
Watch Desk analysis
What happened
The Horowitz Andreessen Academy is recruiting for a tuition-free Founding Class Fellowship beginning in autumn 2027. Founder and chief executive Gagan Biyani says admissions will give greater weight to “proof of work”, such as building a widely used app, starting a revenue-generating business or solving a difficult technical problem. Transcripts and SAT or ACT scores will still be considered.
The academy expects to offer a two-year programme in 2028, subject to regulatory approval, and charge tuition comparable to an elite private university. Biyani says more than 50 companies have agreed to partnerships and that they would hire graduates. The school names Anthropic, Google, Meta, Nvidia and OpenAI among its founding partners. Those hiring expectations are the academy’s account of its employer relationships, not a published employment record. Fox Business reports the details.
Why it matters
This is a concrete experiment in AI-era education, not simply another argument that universities are finished. The first fellowship is small, and the planned paid programme still depends on approval, but the founders are testing whether demonstrable work and product-building can carry more weight for some technology jobs than a conventional degree path.
That distinction matters to prospective students weighing cost, credentials and career options. The academy itself says it is aimed at a narrow group, while Biyani describes universities as important for research and human development. A new route for a few aspiring builders would not, by itself, settle the broader case for or against higher education.
Our read
A 50-student first cohort is a pilot, not a revolution wearing a hoodie. Still, the academy has put a testable proposition on the table: can students learn by building, and will employers value the results enough to hire them? The answers will matter more than the Silicon Valley guest list.
What to watch
- Whether the academy secures regulatory approval for its planned 2028 programme.
- What the admissions process counts as proof of work, and how it balances that against academic measures.
- Whether partner companies actually hire graduates, and what roles they enter.
- The eventual tuition and financial support for the paid programme.
Discussion spark: Should AI-focused employers value a portfolio of work more than a university degree, or does that risk making access to good jobs depend on who can afford to build a portfolio in the first place?
Sources and evidence
- Inside Silicon Valley's bet on a new path to landing a job in the AI era – Fox Business (10 October 2026, 15:20 UTC)
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