Ferrari chairman John Elkann says an AI market correction would not stop the technology’s long-term progress, while warning that the gap between heavy investment and uncertain business revenues could create risks. His comments put a useful question beneath the AI boom: who can turn all that infrastructure into sustainable income?
Watch Desk analysis
What happened
In an interview with CNBC on 9 October, Elkann said he was not among those who believe AI is in a bubble. He distinguished financial speculation from rapid investment in infrastructure, and said neither a bubble nor its bursting would ultimately impede technological progress.
His concern is more specific: AI needs substantial energy and computing capacity, but the revenue-generating mechanisms and business models remain less certain. Elkann also argued that European technology companies have the technical capability to compete with US and Chinese rivals, pointing to Italian company Bending Spoons as an example of a business with global ambitions. These are his views, not evidence that the investment will pay off or that Europe’s firms will win that competition.
Why it matters
The spending on AI infrastructure is visible; the route from that spending to reliable revenue is less so. Elkann’s comments draw a distinction worth keeping: belief in a technology’s long-term progress does not settle whether today’s investment levels, or the companies funding them, make commercial sense.
His remarks also connect that debate to Europe’s ability to build globally competitive technology businesses. The CNBC interview offers an industrialist’s perspective, rather than a forecast backed by financial analysis, but it gives readers two concrete issues to weigh: the economics of the AI buildout and who is positioned to capture its value.
Our read
“AI will keep advancing” and “every AI investment is sound” are not the same claim. Elkann’s strongest point is that the technology can outlast a market correction while particular business models still fail to justify the spending. That is a more useful debate than simply sorting everyone into bubble believers and bubble sceptics.
What to watch
- Whether AI companies show durable revenue that can support their infrastructure costs.
- Whether a correction changes the pace of investment without slowing technical progress.
- Whether European technology firms turn their capabilities into businesses that can compete globally.
Discussion spark: Can AI’s long-term progress survive a market correction without today’s infrastructure spending proving commercially worthwhile?
Sources and evidence
- Ferrari’s chairman is bullish on AI. He’s less certain how businesses will cash in – CNBC (9 October 2026, 11:54 UTC)
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