Bret Taylor, the chairman of OpenAI, has made it clear that he prefers board members to prepare for meetings using traditional, handwritten documents rather than relying on AI tools like ChatGPT. Speaking on the "Uncapped with Jack Altman" podcast, Taylor emphasized the value of thoughtful, independent preparation as a way to foster deeper, more meaningful board discussions. Taylor, a prominent figure in the tech world and former co-CEO of Salesforce, believes that written documents are far more effective than slide presentations for board meetings. "I really like written documents for boards over presentations," he said. "You end up letting people synthesize information ahead of the meeting, so you end up with more substantive discussions in the board room." He argues that writing without AI forces board members to engage deeply with the material, clarifying their own thinking and ensuring they are fully prepared. His expectation is that every member reads the documents in advance—so that meeting time is spent on real strategic dialogue, not on first-time exposure to key data or financial figures. Taylor favors concise writing, not long-winded reports. He draws on the famous quote attributed to Abraham Lincoln: "If I had more time, I would have written a shorter letter." For him, brevity is not just efficient—it’s a sign of respect to stakeholders and a reflection of careful, deliberate thought. While he discourages AI use for prep, Taylor isn’t dismissing the technology’s broader potential. In fact, he believes regulators may eventually require AI agents to oversee high-stakes processes. "If you want a hot take, I think my intuition is regulators will start asking for agents," he said. "The idea that you have a human set of controls over a regulated process will start to feel like a risk, rather than the risk being AI." Taylor’s approach echoes the practices of other tech leaders—most notably Jeff Bezos, who famously used 6-page memos instead of slides in Amazon meetings. But where Bezos leaned into length, Taylor champions conciseness as a mark of clarity and rigor. His philosophy underscores a broader belief: in high-stakes decision-making, the quality of thought matters more than the speed of output.