AI cuts layoff risk yet leaves workers feeling isolated
NEW YORK, UNITED STATES — A June 2026 Gallup report finds tech workers who use AI monthly face just 6% layoff risk — versus 18% for infrequent users — but Anthropic’s engineering lead warns that working alongside AI agents is creating an unaddressed workplace problem: isolation.
Anthropic built a team to fix the loneliness that Claude created
“The other thing that we found interesting on the Claude Code team is, after a while, we felt it could start being a lonely experience because we all started just working with our agents so much. When we do pairwise programming, we actually learn so much from each other. Every time I watch someone work, I learn something myself as well,” said Fiona Fung, engineering leader for Anthropic’s Claude Code and Cowork teams.
Claude shipped an estimated four-year volume of API error fixes in a single month in April — but Anthropic’s response was not to declare the problem solved. It was to build Cowork, a dedicated team for restoring the human collaboration that AI workflows were quietly removing.
Big Tech’s morale crisis is deeper than layoff anxiety
“The tech industry has said people are the most important asset, but they never act that way,” said Jeffrey Pfeffer, professor of organizational behavior at the Stanford Graduate School of Business.
The Gallup data offers a clear productivity argument for AI adoption: frequent users face a layoff risk of 6%, compared to 18% for infrequent users.
Yet the tech sector has recorded approximately 120,000 layoffs in 2026 — a figure that already nearly matches all of 2025 — suggesting that AI-driven productivity improvements are not insulating all workers equally.
Meta has simultaneously reduced its overall workforce by 8,000 while building a 6,500-person Applied AI team — a pattern that illustrates the industry-wide tension between AI investment and worker security.
For workers caught between AI adoption mandates and steady layoff pressure, the morale challenge is structural: demonstrating AI proficiency improves job security, but the same AI adoption is eroding the collaborative routines that most workers rely on for engagement and connection.
For BPO and offshore staffing providers, the Anthropic findings are directly relevant to how AI is being rolled out across delivery teams.
Providers integrating AI agents into service workflows should anticipate the same isolation effect that Fung identified — and build in structured collaboration touchpoints before productivity gains come at the cost of team cohesion.
The BPO firms that treat workforce experience as a design constraint, not an afterthought, will retain the human expertise that AI cannot replace.
