Thomson Reuters CEO's AI Routine: Authenticity and Learning

In a world rapidly embracing artificial intelligence, understanding how leaders approach this transformation is crucial. Steve Hasker, CEO of Thomson Reuters, shares his personal philosophy and routine for navigating the 'wall-to-wall AI rollout' his company is undertaking. His approach centers on authenticity, continuous learning, and fostering a collaborative environment.

The CEO's Monday Morning Ritual

Hasker's core belief regarding AI adoption is the paramount importance of authenticity. He stresses that for any broad transformation to be successful, leaders must genuinely engage with the technology themselves. His own Monday morning routine exemplifies this. He begins by using AI tools to analyze documents and review his calendar, seeking insights to prepare for the week ahead.

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Furthermore, Hasker dedicates time on Monday mornings to consuming news from sources like Reuters World News. This habit, he explains, provides a crucial overview of global events, geopolitics, and breaking news, ensuring he is informed about the broader context in which Thomson Reuters operates. This practice is facilitated by his use of earbuds, allowing him to stay connected while engaging with the content.

The Boardroom Question

When it comes to strategic guidance, Hasker poses a critical question to his board: "Who are the early movers, who are the fastest, who are making the most mistakes and therefore learning the most?" He believes that understanding who is learning and adapting quickly is vital for driving progress. This perspective highlights his focus on identifying and learning from the pioneers and early adopters within the AI space.

Advice for the Team

Hasker's advice to his team is straightforward yet profound: "Get immersed. Use the tools yourself." He advocates for a hands-on approach, encouraging every team member to actively engage with AI technologies. This immersion, he believes, is essential for truly understanding the benefits and potential pitfalls of AI.

He also emphasizes the importance of continuous dialogue. Hasker encourages his team to maintain constant communication about the positive impacts, the challenges, and the lessons learned from using AI tools. This open exchange of information ensures that the entire organization is learning and adapting collectively, accelerating their overall AI journey.