The article further explores the challenges faced by AI startups in creating sustainable business models and bringing AI to areas yet to be disrupted. It also mentions the slow adoption of AI tools like Microsoft's Copilot and the need for these tools to prove their worth. The piece concludes by suggesting that if AI tools don't deliver significant productivity gains and instead lead to negative outcomes like bad publicity and lawsuits, the industry could face a deep "trough of disillusionment".
Key takeaways:
- The AI marketing hype has led to high expectations for the technology, but the reality may not live up to these expectations, leading to potential disappointment in 2024.
- Despite strong financial results, tech giants like Alphabet and Microsoft have seen their shares fall, indicating that investors were expecting even better performance, particularly in relation to AI investments.
- AI companies are struggling to find sustainable business models and the high valuations of these companies suggest that investors expect them to become tech giants in the long run.
- Despite the hype, actual adoption and real profit from AI may not materialize just yet, and if AI tools still require human review, they may not be faster or better than just having a person do it in the first place.