This podcast explores the potential decrease in the hype around AI and discusses the market performance of tech stocks. It also covers news on OpenAI's revenue growth, XAI incorporation, enterprise AI adoption, AI's impact on the legal sector, and the role of AI at the CES conference. Additionally, it delves into the expectations vs. reality of AI in the financial market and the slow adoption of generative AI in businesses.
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Quick takeaways
OpenAI's revenue grew 20% and it is raising another round of funding, indicating high demand for AI in the investment landscape.
Elon Musk's XAI has become a public benefit corporation, highlighting his intention to compete in the space of positive impact and perception in the AI industry.
Deep dives
OpenAI's revenue growth and valuation
OpenAI's revenue grew about 20% between October and December, reaching a $1.6 billion annualized revenue rate. Despite leadership challenges, the company was able to maintain business momentum and hold onto its customers. Reports suggest that OpenAI is also raising another round of funding at a valuation of over $100 billion, highlighting the high demand for AI in the investment landscape.
Elon Musk's XAI and its public benefit corporation status
Elon Musk's XAI, integrating the Grock chatbot into Twitter, has now been incorporated as a public benefit corporation in Nevada. This corporate structure commits the company to maximize value not only for shareholders but also for the world at large. It emphasizes creating a positive impact on society and the environment, with annual reports and external assessments ensuring compliance. This move indicates Elon Musk's intention to compete in the space of positive impact and perception in the AI industry.
The AI Hangover and the need for financial gains
As the new year begins, there are indications that Wall Street is expecting AI to demonstrate actual financial gains, moving beyond hype and excitement. Companies like Adobe projected lower revenue growth despite the market's initial optimism about their AI tools. Analysts believe AI benefits may take longer to materialize, potentially resulting in a period of disillusionment. Enterprise adoption of AI has been slower than anticipated, with factors such as resource limitations, security concerns, and data integrity issues contributing to the gap between AI talk and actual usage in businesses.
After the peak of inflated expectations comes the trough of disillusionment. After a dismal outing on the first day of public market trading, some wonder if the early indicators of a more sober market take on AI are already taking hold in 2024.
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