Bloomberg Surveillance · Wednesday, September 23, 2026
Juan Landono addresses the complexities of AI regulation, noting that it's not inherently incompatible with advancing frontier technologies. He argues that 'pro-market and pro-innovation' regulation is possible, particularly in clarifying issues of data privacy, agent liability, and the responsibilities of AI labs. Such clarity, he suggests, empowers both consumers and businesses to make informed decisions.
“I think there can be pro-market and pro-innovation regulation, especially when it resolves this question that we just asked. If people are asking and we need the legal system to maybe say, okay, to what extent is an agent responsible for my data being leaked versus me surrounding my data?”
“I think giving that clarity to both consumers and businesses is pro-market because you can make a more informed decision in the market.”
“And similar things with other like liability and potential risk of developing AI systems, frontier AI systems, where does the liability end and where does it start in sense like what happens if an agent goes rogue?”