AI's three big narrative violations (www.cnbc.com)

This week, three prevailing narratives about artificial intelligence were challenged, signaling significant shifts in the AI/ML landscape. Firstly, Meta announced its plans to build a cloud business aimed at monetizing its excess computing power, suggesting that owning the leading AI models may not be as lucrative as previously thought. This move reflects a commoditization of AI infrastructure, prompting investors to rethink the value proposition in the AI race, as highlighted by investor Dan Niles. Additionally, new research from Ramp and Revelio Labs indicates that companies investing heavily in AI are actually expanding their workforce, countering the widespread belief that AI would lead to job losses. Economists Ara Kharazian and Garrett Lord emphasize that investment in AI may drive growth rather than downsizing. Lastly, the idea that open-source AI cannot be profitable is being overturned as firms like Hugging Face and Together AI begin generating substantial revenue while adopting open models. This shift points to a future where enterprises prefer to deploy their own AI solutions rather than relying on rental models, transforming the open-source landscape into a viable business model.