
General
Snap Cuts 1,000 Jobs as AI Now Writes 65% of Its Code
April 17, 2026
Read Original: TechCrunchSnap CEO Evan Spiegel sent a memo to staff on April 15 announcing approximately 1,000 layoffs, affecting about 16% of full-time employees, alongside the closure of over 300 open roles. The company attributed the cuts directly to AI advancements, stating that AI now generates more than 65% of Snap's new code. Spiegel described a shift toward smaller, tighter teams supported by AI agents handling a growing share of routine engineering work.
The financial logic is straightforward. Snap expects to reduce annual costs by more than $500 million by the second half of 2026. Layoff charges are projected at $95 million to $130 million, concentrated in Q2. First-quarter revenue is forecast at approximately $1.53 billion, up 12% year-over-year, with adjusted profit ahead of analyst estimates. Investors rewarded the discipline: the stock jumped roughly 9% in premarket trading, even though shares are still down over 30% in 2026.
Snap's disclosure that AI writes 65% of its new code is the most concrete example yet of a major technology company quantifying AI's direct impact on its engineering workforce. That figure would have been implausible two years ago. It is now a real operational metric that more companies will start publishing, or quietly factoring into headcount decisions.
The broader context matters too. Data from Layoffs.fyi shows over 80 tech companies have cut more than 71,000 jobs in 2026. Snap is not an outlier. It is part of a structural shift where AI tools are reducing the headcount required to maintain, build, and operate software at scale.
For Nigerian developers and tech workers, the Snap story is a signal worth taking seriously. The value of software engineers is shifting from writing code to directing, reviewing, and architecting systems where AI handles the repetitive implementation. Staying ahead of that shift requires actively building skills around AI-assisted development rather than treating it as optional.
The developers who adapt to AI as a tool will have more leverage than those who compete against it.
Source:TechCrunch