Why are 95% of Gen AI Projects Failing?

In this monologue podcast, Matt Derron analyzes an MIT study that found 95% of Gen AI projects in enterprises are failing. He shares his experiences from his corporate career at USAA, where he managed IT teams and product development, to provide context to the study's findings. Matt discusses the limitations of current AI tools, the challenges of integrating them into corporate workflows, and the importance of user knowledge in maximizing the tools' potential. He critiques the study's myths about AI and offers his perspective on what the findings mean for tech stocks like Palantir and Salesforce, suggesting the study is bullish for Palantir due to its focus on integrating AI into businesses, while expressing concerns about Salesforce's pricing strategy in light of emerging AI-native solutions.