The AI race is still on
Franklin Templeton CEO Jenny Johnson basically said the quiet part out loud: companies can’t afford to slow down on AI, even if the money math is still doing backflips. In a chat on Bloomberg This Weekend with David Gura and Christina Ruffini, she said Franklin is already seeing productivity and sales gains from AI.
But the spreadsheet still looks spicy
Here’s the catch: Johnson also warned that the economics of AI-heavy companies are still uncertain. That matters because the AI boom has turned into a capital-intensive arms race — think giant chips, giant data centers, and giant power bills. The tech may be smart, but the business model still has to pass the “can this actually make money?” test.
Why investors should care
If AI keeps delivering real efficiency gains, that supports the whole theme. But if the spend keeps rising faster than the payoff, then some of the market’s favorite AI names may eventually have to justify their valuations with more than hype and demo videos.
- Good news: companies are seeing productivity gains now
- Bad news: costs, governance, and profitability are still unresolved
- Translation: the AI story is still real, but the final invoice hasn’t arrived yet
Big picture: AI is no longer a science project — it’s a business strategy. The only question is which companies turn that strategy into durable profits, and which ones just end up with a very expensive toy.