MIT's latest "State of the Enterprise AI Report" has gone viral for claiming that 95% of enterprise AI projects fail. But the real problem isn't that AI doesn't work—it's that large enterprises can't build it. In the @LightconePod podcast, @garrytan, @harjtaggar, @sdianahu, and @snowmaker delve into the true meaning of this report, exploring why enterprise AI projects repeatedly fail and how startups can fill this gap with products that can learn, integrate, and truly create value. 2:08 - The Enterprise AI Application Gap and Reasons for High Failure Rates 3:32 - Even Apple Makes Software Mistakes 4:30 - Why Enterprise Software Is So Difficult to Really Work 11:08 - Reducto Case Study 13:39 - What Kind of Corporate Employees Should You Look for as a Founder? 14:39 - Knowing Founders Who Were Acquired by Companies 15:25 - The Tensions and Symbiotic Relationships Between Enterprises and Startups