The future of AI will be decided by trust, not speed
Steve Hasker, chief executive of Thomson Reuters, argued that the artificial intelligence market is splitting between general-purpose tools focused on speed and specialized systems designed for high-stakes professional work such as law, tax and auditing, where accuracy, transparency and accountability are essential. He said generic AI models can produce unreliable or unverifiable results, while “fiduciary-grade” AI built on authoritative data, expert oversight and secure workflows can better meet legal, financial and regulatory standards. Hasker added that long-term value in AI will depend less on rapid deployment and more on trust, data protection and systems that can withstand scrutiny in courts, boardrooms and regulatory reviews.
