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Thomson Reuters invests $40M in proprietary AI model; LinkedIn profiles show AI skill surge

Thomson Reuters is developing its own language model, named "Thomson," which will be built upon Alibaba's Qwen model. This initiative represents a significant investment of approximately $40 million over two years, as the company aims to control its AI capabilities rather than relying on third-party providers like OpenAI or Anthropic. Separately, research from Stanford and Revelio Labs indicates a shift in professional profiles, with LinkedIn users increasingly highlighting AI skills while reducing mentions of remote work and DEI. AI

IMPACT Thomson Reuters' investment in a proprietary AI model signals a trend of companies seeking greater control over their AI infrastructure, potentially impacting the market for third-party LLM providers.

RANK_REASON Thomson Reuters is launching a proprietary language model, which is a product development, but not a frontier release from a major AI lab.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Thomson Reuters invests $40M in proprietary AI model; LinkedIn profiles show AI skill surge

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Stanford and Revelio researchers analyzed 29.4 million LinkedIn profiles and found users added AI skills and dropped remote-work and DEI language. Source: Nordi

    Stanford and Revelio researchers analyzed 29.4 million LinkedIn profiles and found users added AI skills and dropped remote-work and DEI language. Source: Nordic Business Insider https://www. businessinsider.com/linkedin-u sers-add-ai-skills-jobs-drop-remote-work-terms-2026-8 # A…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Thomson Reuters is launching "Thomson," its own language model built on Alibaba's Qwen, at a cost of about $40 million over two years. CTO Joel Hron says what m

    Thomson Reuters is launching "Thomson," its own language model built on Alibaba's Qwen, at a cost of about $40 million over two years. CTO Joel Hron says what matters is knowing which intelligence you need to own. Source: The Decoder AI https:// the-decoder.com/thomson-reuter s-b…