Serenity said markets should not interpret large technology companies’ AI capital spending as money being drained from the market, describing the investments instead as aimed at future large-scale revenue growth or improved profit margins. According to Odaily, Serenity shared the comments in a post on X.
Serenity said Amazon is the company they are most optimistic about, calling it one of the clearest AI transformation cases among hyperscale cloud providers. Serenity said Amazon could use large language models to reduce operating costs through automated delivery, warehouse robotics, and logistics and transportation automation.
Serenity also said Amazon is expanding AWS computing capacity to drive revenue growth and may enter the AI chip sales market through its in-house Trainium chips.
Serenity ranked Google second among major technology companies in AI strategy, saying Google’s AI capital spending is intended to protect its search business moat. Serenity added that Google Cloud, supported by TPU computing advantages, has potential to commercialize chips in a way similar to Nvidia’s GPU business.
For Microsoft and Meta, Serenity said both companies still need to prove to the market the necessity of large-scale AI capital spending. Serenity said market sentiment toward Microsoft has been weaker recently due to lagging progress on its in-house AI chip Maia and the pace of AI development being affected by its partnership with OpenAI.