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Thomson Reuters to Cut Engineering Jobs Amid Strategic AI Push

Thomson Reuters (TRI) is reducing its engineering workforce, a move the company attributes to its aggressive deployment of artificial intelligence. While the firm described the layoffs as affecting a "small number of roles," an employee who attended an internal meeting on Monday stated that up to 500 jobs could be eliminated, according to a Reuters report.
Strategic Pivot to AI
A company spokesperson framed the decision as a realignment of resources to meet evolving customer demands in the legal, tax, and regulatory sectors. The company is shifting its focus toward areas it deems most critical for its clients.
"As customer expectations... evolve, we are focusing our capacity where it matters most to customers," a Thomson Reuters spokesperson said. In a move to bolster its future capabilities, the company also announced it expects to hire more than 250 net-new engineering roles globally over the next two years, with a focus on senior and "AI-native" talent.
Details of the Reduction
The potential cut of 500 jobs, reported by an employee who requested anonymity, would represent a significant portion of the company's technology division. Based on the company's 2025 annual report, the figures would break down as follows:
Ad- Approximately 1.8% of Thomson Reuters' total global workforce of 27,100.
- Roughly 5.2% of the 9,400 employees in its operations and technology unit.
The company confirmed it is providing support to the affected employees through the transition.
Broader Industry Trend
These job cuts align with a wider trend of workforce reductions across the technology sector, where the rise of generative AI has increased the efficiency of tasks like software development. This has led to strategic shifts in staffing at major technology firms.
According to the jobs tracker layoffs.fyi, approximately 120,000 tech workers have been laid off across 228 companies in 2026. The move by Thomson Reuters, parent company of Reuters News, indicates that the impact of AI on employment is extending into specialized content and technology providers.