A/
“Several factors could burst the bubble. One is the limitations of today’s Generative AI. While impressive, the models still produce low-quality outputs too unreliable for many tasks. And training ever-larger models requires exponentially more data and computing power, raising questions about scalability.”

B/
“Past experience shows hot new technologies go through a hype cycle before real capabilities emerge. While Generative AI has promise, investors should beware of irrational exuberance. Sustainable value will require matching capabilities to appropriate use cases rather than treating it as a cure-all.”

⏩ “To mitigate the risks and potential downfall of the Generative AI bubble, it is crucial to shift the focus from creating fancy product demos to building practical business use cases. This approach would require time and effort to develop and implement, but it could help ensure the industry’s stability and growth.”

Bah en fait pas de secret : faire une belle démo qui en met plein les yeux au #leadership ne doit pas obérer le passage à l’échelle :

– en terme d’infrastructure
– en terme de RH avec le recrutement et la fidélisation des #talents
– en terme de #transformation de la #culture des #organisations et du #management pour intégrer l’usage de ces nouvelles #technologies.

Mais Il est hélas tellement plus aisé de faire de la comm 😎

Enfin, j’ajouterais que dans les grandes organisations (…), il faut chasser en meute plutot que de manière dispersée qui n’est qu’un gâchis de ressources au final. 😎

https://www.kdnuggets.com/the-generative-ai-bubble-will-burst-soon