How to Fail at AI Strategy: Hamel Husain & Greg Ceccarelli
Apr 13, 2025 · 17:03
Greg Ceccarelli and Hamel Husain argue that the most reliable path to AI failure is to follow a set of inverted worst practices, including cultivating disconnect between executives and builders, promising unrealistic AI capabilities, drowning communication in jargon, and avoiding data analysis. They describe how to divide your company by incentivizing secrecy and using jargon like 'agents' to exclude domain experts, ensuring that AI projects are disconnected from real needs. The speakers advocate faking strategy by highlighting random paragraphs from last year's report, announcing vague goals like 'become the global AI leader in everything,' and creating a massive backlog with no timeline. They recommend throwing tools at problems—buying expensive vector databases or switching frameworks—without understanding root causes, and blindly trusting off-the-shelf evaluation metrics like BLEU and ROUGE. Crucially, they insist on never looking at data, using complex systems inaccessible to domain experts, and trusting gut feelings over evidence. This inverted guide guarantees wasted resources, alienated teams, and spectacular failure.