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The Generative AI Revolution: Prospects and Challenges in 2024

Generative AI is a type of artificial intelligence that can create new content, such as text, images, music or code, from existing data. It uses advanced models, such as neural networks, to learn patterns and generate results that mimic or extend training information in a creative and consistent way.

 

1- Transformation with Generative AI

Generative AI is transforming our interaction with technology, simplifying access to business resources.

 

2- Market boom in 2024

In the first quarter of 2024, major international stock exchanges have reached a five-year high, driven by the rise of generative AI.

 

3- SEC Warning

Gary Gensler, chairman of the SEC, warns against “AIwashing”, urging to avoid false claims about the use of artificial intelligence in companies.

 

4- Market Concentration

There is growing concern about market concentration, where only a few companies dominate the generative AI value chain.

 

5- Importance of Computation

Compute capacity is crucial in generative AI, but its scarcity and cost pose significant challenges for companies.

 

6- Investment in Energy

Sam Altman and other investors are betting on fusion power and modular nuclear reactors to address energy challenges in generative AI.

 

7- Battle for Talent

AI talent is scarce and in high demand, triggering intense competition between companies and tech giants.

 

8- Importance of Data

High-quality data is essential to develop accurate models in generative AI, leading to deals between vendors and content creators.

 

9- Winners and Losers

In a market under construction, Nvidia emerges as a clear winner, while other players struggle to find their place in the generative AI value chain.