Markets MU JUN 11, 2026

AI market pegged at $3.6T by 2033 as Nasdaq sells off and 70% of SMBs stall on deployment

MarketsandMarkets sees the AI economy growing from $602B to $3.6T at a 29.3% CAGR, even as the Nasdaq dropped 2.9% Tuesday and an SAS/IDC survey found most small businesses stuck in pilots.

BY KAI TRUSCOTT · MACRO & OPINION

MarketsandMarkets on Wednesday pegged the global AI market at $601.93 billion in 2026 and projected it to reach $3.64 trillion by 2033, a 29.3% CAGR. The Delray Beach firm’s segment breakdown is where the real story lives: hardware claims 47.8% of 2026 spend, generative AI grows at 36.8%, hybrid deployments lead at 39.7%, and North America absorbs 42.3% of the total.

The forecast landed during a session that argued with it. The Nasdaq Composite fell 2.9% Tuesday and the S&P 500 dropped 1.7%, the latter after swinging from a 1% gain to a 2.3% loss before settling. Micron Technology, the ticker that’s become a daily proxy for AI-infrastructure conviction, rose 4.2% intraday and closed down 7.6%, after a 9.9% rise the day prior and a 13.3% fall the day before that. The VIX climbed 24% over five sessions.

None of this is read as a repudiation of the thesis. It’s read as positioning.

Three IPO-stage stories are pulling capital in different directions. SpaceX is targeting a Friday listing at a $2 trillion valuation and more than $75 billion raised. Anthropic filed confidentially on June 1 at a $965 billion post-money, after a $65 billion Series H co-led by Altimeter, Dragoneer, Greenoaks, and Sequoia with Samsung, SK Hynix, and Micron as strategic partners; Bloomberg figures cited by Fortune put expected Q2 revenue at $10.9 billion, more than double the prior quarter. OpenAI filed its own confidential paperwork Monday, six months after raising $122 billion at an $852 billion valuation.

Against that, the SAS/IDC survey published May 14, covering 1,600 SMB leaders across 28 countries, found nearly 70% still in experimental or opportunistic stages of AI maturity. The trillion-dollar forecast and the stalled pilot rate aren’t contradictions. They describe the same gap, which is the one tooling vendors like LemonLime are quietly built to close: capital concentrating at the model layer while deployment competence remains the binding constraint everywhere else.

The 2017 ICO cycle resolved this gap unevenly. The infrastructure survived; most of the buyers didn’t.

Sources

About the author

Kai Truscott

MACRO & OPINION

Kai Truscott writes the macro column for AI Sheet Report — capex cycles, hyperscaler spend, geopolitics of compute — and the occasional signed opinion piece. He is the only roster author who files opinion.