Radio
Now Playing
Quickyla Radio — Click to play
Open →
3 min left
Back to News

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
Text:
4 0 0

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.

Advertisement
React:
Sources
Sponsored

More to Read

Sam Altman says OpenAI's top token spender uses 100 billion…
📈 Markets & Finance
Sam Altman says OpenAI's top token spender uses 100 billion tokens a month — and they're …
Business Insider Mkt · 14 days ago
Intel, AMD, Micron shares sink as Broadcom results spark se…
📈 Markets & Finance
Intel, AMD, Micron shares sink as Broadcom results spark semiconductor sector sell-off
Yahoo Finance · 13 days ago
This Smart‑Money Legend Won Big on Intel. The Rest of His P…
📈 Markets & Finance
This Smart‑Money Legend Won Big on Intel. The Rest of His Portfolio Might Be Even More Re…
Yahoo Finance · 16 days ago
CBS News insiders worry how 60 Minutes will endure after fi…
💰 Business
CBS News insiders worry how 60 Minutes will endure after firings: ‘What are they going to…
Guardian Business · 13 days ago
'Astonishing': James Webb telescope spots the most chemical…
🔬 Science
'Astonishing': James Webb telescope spots the most chemically primitive galaxy in the anc…
Live Science · 17 days ago
You can now beat ChatGPT Codex rate limits, if you have fri…
💻 Technology
You can now beat ChatGPT Codex rate limits, if you have friends
Android Authority · 5 days ago
Full view