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Stephen Hasker

President, Chief Executive Officer & Director, Thomson Reuters Corporation

Search every verified Stephen Hasker interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Stephen Hasker, president and CEO of Thomson Reuters, has been discussing the company's development and deployment of generative AI tools, including its proprietary large language model, Thompson 1. He has stated that the company is focused on providing "fiduciary-grade AI" for professionals in legal, tax, and accounting fields, where accuracy is critical. Hasker has noted that Thompson 1 performs at or above the level of leading frontier models for general tasks and is competitive for legal-specific tasks, and he has highlighted the company's investment of approximately $40 million in building out the model, in addition to the cost of acquiring the company Safe Sign. Hasker has also addressed the financial implications of AI adoption, acknowledging that Thomson Reuters has experienced "bill shock" with costs in the tens of millions of US dollars above budget due to customer usage of its agentic products. He has framed this as a positive sign of adoption. In recent earnings calls, he reaffirmed the company's 2026 outlook for organic revenue growth of 7.5% to 8% and expressed confidence in its capital position, citing an estimated $9-11 billion in capital capacity through 2027. Hasker has also discussed the impact of AI on the workforce, describing a reduction of 500 roles as a "retooling" to acquire different talent for new product development, rather than a direct result of AI-driven efficiencies.

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Notable quotes

“The 500 really is a retooling rather than a reduction. So essentially, you know, as we move into producing more and more agent, cutting edge agentic products, we need different talent. And so that's really what it's a reflection of. It's not a reflection of us using AI tools in new and different ways necessarily and getting efficiencies. And I think that's the case across industries. You know, we've started to see, I”

“This is our true differentiator in an AI environment. So what we provide is fiduciary grade AI and that's a term that we coined basically to define AI used by professionals who have to be right. So you know if you're a lawyer a tax accounting audit professional and uh you produce a tax return or a brief or a contract an opinion that's incorrect that hallucinates that includes inaccurate citations or arguments then th”

“We've spent about $40 million uh building it out. So, in addition to the cost of acquiring Safe Sign, um we spent about $40 million on on the compute and and so forth. Now, bear in mind, we own the data.”

“We have 10 to 11 billion dollars in dry powder, and in this environment, I think that's a tremendous asset to have, particularly as the software and SaaS multiples have been compressed, and the world, I think, is changing in and around agentic AI. I think it's a tremendous position to be in, to be able to sort of monitor and watch what happens but also be very aggressive where we need to be. So, I would say, I think ”

“The more time I spent with our customers, the more I realized we don't have a choice here, because the customers are going to take this opportunity to also work from home. They're going to take this opportunity to rapidly accelerate a shift to the cloud, and if we take a pause, by the time the pandemic finishes, we will be three laps of the track behind.”

“I think we're now at a point where they're saying, 'Hold on, if this token spend continues to grow, I might be better to keep the headcount.' And so that's a very different environment than we were in 2 or 3 months ago. And I think it speaks to the the fact that things are changing so fast in this AI environment.”

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