The Year AI Became a Reason to Cut Jobs: 2023 in Review

From IBM's back-office automation to BT Group's 10,000 AI-replaced roles, 2023 was the year companies started openly citing AI as a driver of layoffs.

The Year AI Became a Layoff Reason

2023 marked a turning point. For the first time, major corporations began explicitly citing artificial intelligence as a direct cause of workforce reductions — not just a vague future threat, but a present-tense justification for eliminating roles.

The Watershed Moments

IBM set the tone early when CEO Arvind Krishna announced in May 2023 that the company would pause hiring for roles that could be replaced by AI, estimating roughly 7,800 back-office positions would be affected. Krishna called it a "direct outcome of automation." Source: Bloomberg

BT Group made perhaps the most significant announcement of the year, revealing plans to cut up to 55,000 jobs by the end of the decade, with approximately 10,000 roles specifically replaced by AI. CEO Philip Jansen stated AI would handle tasks "previously done by humans." Source: BBC News

Chegg, the education technology company, saw its stock collapse after CEO Dan Rosensweig acknowledged that ChatGPT was cutting into demand for its homework help services. The company subsequently cut 45% of its workforce. Source: CNN

The Challenger Report

According to Challenger, Gray & Christmas — the gold standard for layoff tracking — approximately 24,000 job cuts in 2023 were directly attributed to AI, a category they began tracking specifically because of the trend. This was likely a significant undercount given how many companies used euphemisms like "operational efficiency" and "digital transformation."

What Made 2023 Different

Previous automation waves were gradual and rarely named. In 2023, executives started saying the quiet part out loud — AI was replacing human workers, and they weren't apologizing for it.

SAP cut 8,000 roles in an AI-focused restructuring. Duolingo laid off 10% of its contractors after determining AI could handle translation work. Even traditional sectors began feeling the impact, with financial services firms starting to experiment with AI-driven back-office consolidation.

Looking Ahead

At the close of 2023, the question shifted from "will AI take jobs?" to "how many, and how fast?" The answer would begin to emerge in 2024.