Yahoo! Finance found that executives are only half as likely to mention AI on their earnings calls. Research from BCG found that enterprises aren’t as enthusiastic as they used to be about generative AI. Even Sequoia Capital — a major investor in AI startups — has argued that the majority of AI tech companies are struggling to nail their value proposition. And all of this is happening as researchers find that OpenAI’s ChatGPT plagiarizes its training data 70% of the time and Google’s latest releases amount to a series of self-inflicted wounds.
AI — and generative AI in particular — sure seems like it has teetered from the peak of hype and fallen into the trough of disillusionment. Greg and Geoff discuss why this might be the case. And why this is a good thing for any company serious about AI.
What to Watch For
- 00:00 Introduction
- 02:44 AI Hype is Dead
- 10:32 Challenges of Implementing AI
- 15:41 Generative AI and its Limitations
- 31:58 The Hype Around OpenAI
- 33:27 OpenAI’s Success and Merit
- 34:54 The Importance of Basic Marketing
- 36:18 Salesforce’s Focus on Trust
- 37:45 The Success of Companies like Nvidia and Amazon
- 40:00 AI as a Baked-in Technology
- 42:06 Diminished Hype and the Importance of Trust
- 43:03 The Potential Consolidation and Failures in the AI Space
- 48:16 Differentiation and the Need for Viable Products
- 53:54 The End of Hype and the Importance of Getting Serious
