A billion-dollar startup wants to bring extinct animals back. AI is how it plans to do it.

Key points

• A startup valued at over a billion dollars is now pursuing de-extinction, the revival of species that have died out, using AI and gene editing.
• Advances in computational biology, a field that applies data science to living systems, are expanding what's possible in a laboratory.
• The work raises practical and ethical questions that conservation biologists and governments haven't yet settled.
• De-extinction is scheduled as a main-stage discussion at TechCrunch Disrupt 2026.

Not long ago, "bring back the woolly mammoth" was a punchline. Now it's a business plan, and serious money is behind it.

A company valued at over a billion dollars is working to reverse extinction using artificial intelligence and gene-editing tools that let scientists rewrite the DNA instructions inside a living cell. The core idea: read the genome, the complete genetic blueprint, of an extinct animal, compare it with a close living relative, and use software to identify which genetic changes would be needed to recreate something close to the lost species.

What does AI actually do here?

AI handles the part of the problem that would take human researchers decades to work through by hand. A genome contains billions of chemical letters, and spotting which differences matter, then predicting what a given change would do inside a real organism, is exactly the pattern-matching that modern AI models do well.

Computational biology has been building toward this for years. What's changed recently is the quality of available AI tools and the dramatic fall in the cost of reading and writing DNA. Sequencing a full human genome cost roughly $100 million in 2001; by the mid-2020s, the same job costs under $200. That collapse means research teams can now afford to sequence multiple specimens, compare them and train AI models on the results, rather than treating each genome as a rare data point. Our 24 July story on how researchers used AlphaFold to make gene editing safer showed the same cost-and-capability shift already reshaping lab work.

Should we be doing this at all?

That question has no consensus answer, and scientists disagree sharply.

Proponents argue that if humanity caused an extinction, true of most losses in the past few centuries, then restoring the species could repair damaged ecosystems. A missing predator or keystone plant can leave an entire habitat out of balance for generations.

Critics worry about the reverse: a revived animal, bred in a lab and released into a world that's changed enormously since its ancestors died, could disrupt the very ecosystems it was meant to help. Conservation budgets are also tight. Money spent on high-profile de-extinction projects is money not spent protecting the thousands of species teetering toward extinction right now.

For most people the immediate stakes aren't really about mammoths. They're about precedent. If AI-assisted gene editing becomes routine, the same tools will reshape medicine and agriculture. The extinction debate is a public rehearsal for bigger decisions about who controls those tools.

The science is moving faster than the policy, and that gap is the thing worth watching. Our 2 September report noted that TechCrunch Disrupt 2026 has added a full stage devoted to AI in the physical world, with de-extinction among its headline topics, which tells you something about how quickly this has moved from fringe to mainstage.