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Investor Chris Camillo Predicts The ‘Last Easy Trade’ of the AI Supercycle Is About to Start

Chris Camillo says the AI supercycle’s Wave 3 “efficiency wave” (companies using AI to cut costs) is the “last easy trade” that investors have not fully priced in. Camillo expects Wave 3 winners to come from cost-heavy businesses with large customer service, admin, and logistics

Investor Chris Camillo Predicts The ‘Last Easy Trade’ of the AI Supercycle Is About to Start
Yahoo Finance — 30 May 2026
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Chris Camillo says the AI supercycle’s Wave 3 “efficiency wave” (companies using AI to cut costs) is the “last easy trade” that investors have not fully priced in.

Camillo expects Wave 3 winners to come from cost-heavy businesses with large customer service, admin, and logistics workforces that drive operating margin expansion.

The analyst who called NVIDIA in 2010 just named his top 10 stocks and Bloom Energy wasn't one of them. Get them here FREE .

Retail investor Chris Camillo, host of the Dumb Money Live channel and a practitioner of what he calls "social arbitrage," laid out a sweeping framework for the AI investment cycle on a recent episode of The Iced Coffee Hour with hosts Graham Stephan and Jack Selby. His core argument was simple. The first two phases of the AI boom already created massive winners, but the next phase may produce the clearest investment setup yet.

Camillo believes the “last easy trade” of the AI supercycle is about to begin, and he says he has spent roughly three years waiting for it.

The analyst who called NVIDIA in 2010 just named his top 10 stocks and Bloom Energy wasn't one of them. Get them here FREE .

Wave 1 was the moment AI became consumer-facing. Large language models suddenly showed people that AI could write, reason, and interact in ways that felt dramatically different from earlier software tools. That triggered the first wave of excitement across the market.

Wave 2 focused on the infrastructure needed to support that demand. Hyperscalers ramped capital spending, GPU demand exploded, the data center construction accelerated, and power infrastructure became a bottleneck. J.P. Morgan estimates that data center capital expenditures now equal roughly 1.2% to 1.3% of GDP, levels that resemble those of previous infrastructure booms.

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