Observed Signal · Jun 25, 2026 · Research Report · Source: Exponential View · Impact: 4/5 · Sentiment: Positive
Exponential View Releases AI Economy Report
Exponential View released a bottom-up, de-duplicated research report, The State of the AI Economy, estimating the generative AI economy generated $110 billion in revenue over the past 12 months with an annualized run rate exceeding $175 billion. The report models demand-side AI spending across consumer and enterprise stacks, avoids double-counting by reporting end-customer dollars, separates AI-directed CapEx from ordinary CapEx for hyperscalers, and examines token-price elasticity and quality-adjusted output tokens as a better measure of economic value. The v1 report excludes China, internal AI uplift (e.g., ad revenue improvements), and professional services revenue.
Provides the first bottom-up, de-duplicated estimate of consumer and enterprise AI spending and run-rate, quantifying market size, growth and infrastructure-capex coverage—data that influences hyperscaler investment, cloud vendors, chip suppliers and strategic planning across the AdTech/MarTech ecosystem.
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Key Takeaways & Evidence Grounding
- Exponential View published The State of the AI Economy report.
- The generative AI economy generated $110 billion in sales over the past 12 months (de-duplicated).
- Annualizing the most recent month’s revenues indicates a $175 billion revenue run rate.
- The report uses a bottom-up, de-duplicated model of end-customer AI spending and models AI-specific CapEx and depreciation across major hyperscalers and specialist AI cloud providers.
- This v1 of the report excludes China, internal AI uplift (e.g., ad-revenue improvements at Meta/Google), and professional services/systems-integration spend.
Connected Companies & Entities
8 Entities mapped“Much of the revenue flowing into AI comes from privately held companies such as OpenAI, Anthropic, Cursor, ElevenLabs, and hundreds of other...”
“Much of the revenue flowing into AI comes from privately held companies such as OpenAI, Anthropic, Cursor, ElevenLabs, and hundreds of other...”
“Much of the revenue flowing into AI comes from privately held companies such as OpenAI, Anthropic, Cursor, ElevenLabs, and hundreds of other...”
“Much of the revenue flowing into AI comes from privately held companies such as OpenAI, Anthropic, Cursor, ElevenLabs, and hundreds of other...”
“The remainder flows to the big hyperscalers that serve these models: Amazon, Google, and Microsoft....”
“The remainder flows to the big hyperscalers that serve these models: Amazon, Google, and Microsoft....”
“The remainder flows to the big hyperscalers that serve these models: Amazon, Google, and Microsoft....”
“Google, Microsoft and Amazon (whose spending included logistics investments). This number excludes Meta....”
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Deduplicated $110B GenAI Economy and CapEx Race
This article summarizes Exponential View’s State of the AI Economy analysis and frames the current AI supercycle. Exponential View builds bottom-up P&L and cash-flow models to produce a deduplicated trailing-12-month GenAI revenue estimate of $110B, annualized to ~$175B. The piece highlights rapid token-volume growth (30+ quadrillion inference tokens/month in mid-2026), falling per-token prices with measured elasticity (1.2–1.8), and an unprecedented hyperscaler/NeoCloud CapEx buildout (~$2T cumulative through 2026, $848B in 2026 alone). It notes that revenue currently covers depreciation “for now,” but rising external financing and a growing depreciation stack increase systemic risk if volume elasticity weakens. The report stresses that most enterprise AI benefits are efficiency gains, that substantial consumer surplus exists outside GDP, and that value is migrating up the stack toward models and apps while chips and hosting remain concentrated.
AI Revenue Reaches $229 Billion Annualized
The Monday roundup from Exponential View reports that the AI economy's annualized revenue reached $229 billion by end of August, up 3.5x in one year, with trailing twelve-month revenue at $140 billion. Separately, Snowflake cut its full-year product gross-margin guidance from 75% to 74% due to AI workloads' lower contribution margin, and AI-attributed US job cuts fell in August after a five-month peak, still accounting for 22% of the year's cuts. The content is a brief data-driven newsletter overview.
AI Economy Workshop: Trillion-Dollar Compute Rebuild
Gennaro Cuofano published "The AI Economy Workshop" on May 26, 2026 via The Business Engineer (Substack). The piece's central thesis is that "a trillion dollars in capex this year buys roughly two years of AI supply," framing the current moment as a "computer-rebuild cycle" rather than a typical cloud or web investment cycle. The article outlines three layers of analysis—abstraction (why this is a second computing revolution), a market map (the financing mechanisms enabling the rebuild), and a playbook (three capital cascades to watch)—and discusses wildcards that could push 2026 capex beyond a trillion dollars as well as an IPO window that may test the thesis. The post is a paid newsletter entry and links to premium visual reports and an AI map for subscribers.
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