Azeem Azhar is a UK-based analyst on the AI and tech-economy frontier and the founder and author of Exponential View, a newsletter and podcast. He previously worked as a journalist (Reuters, BBC, and The Economist's technology coverage) and as a tech entrepreneur (PeerIndex). His 2021 book is Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It. His recurring frame contrasts technological exponentials with the slower, more linear speed of institutional response. His columns are treated here as positions ("Azhar argues…") rather than as factual evidence.
Background
Azhar's career spans journalism and technology entrepreneurship before his current work as an independent analyst. He reported on technology for Reuters, the BBC, and The Economist, and founded the company PeerIndex. He publishes the Exponential View newsletter and podcast at exponentialview.co, and authored Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It (2021).
Positions and statements
A consistent through-line in Azhar's writing is that institutions — regulators, education systems, and labor markets — move on linear timescales while AI capability and adoption move on exponential timescales. This frame is compatible with both AI as Normal Technology (under its long-tail interpretation) and with more aggressive AGI Timelines views.
On the AI-bubble question, Azhar's framing sits between bear and bull anchors (AI Bubble Debate), closest to the position that the industrial bid runs ahead of social licence while underlying revenue is real. He anchors his bubble-and-not-bubble assessments on physical compute and rental-price data rather than valuation multiples, pushing back against purely financial bubble framings.
Compute economics
An Exponential View data column (May 4, 2026) reported that B200 GPU rental prices grew 114% in six weeks, which Azhar presented as evidence that demand still substantially exceeds supply at the frontier. The figure is cited on Nvidia & TSMC — AI Compute Infrastructure § Compute crunch (Source: exponentialview.co).
AGI timelines and revealed preferences
In EV #573 (May 9, 2026), Azhar reframed Clark's Import AI 455 into three testable revealed-preference patterns: research-multiplier hiring, capex over-rotation on physical bottlenecks, and tolerance for "ugly near-term cash burn." The discussion connects to AGI Timelines (Source: exponentialview.co).
Social licence and backlash
Azhar's May 23, 2026 column, "The AI backlash is the only thing growing faster than AI revenues," argues that the operative near-term constraint on AI deployment is loss of public licence rather than capability ceilings. The column drew together the mid-May episodes of the Schmidt commencement booing, the AOC tap-water hearing, and Anthropic-profit reporting as evidence for that thesis. The framing carries over to AI Labor Disruption § "Backlash growing faster than revenues" (Source: exponentialview.co; exponentialview.co).
Labor and AI
An Exponential View column (May 3, 2026) surfaced a Chinese-courts ruling that replacing a worker with AI is not, by itself, a lawful basis for firing — among the first such labor decisions globally. The item is referenced on AI Labor Disruption (Source: exponentialview.co).
Relationships
- related: AI Bubble Debate, AGI Timelines, AI Labor Disruption, AI Data Centers
- related: Jack Clark — EV #573 reframed Clark's Import AI 455
- related: Nvidia & TSMC — AI Compute Infrastructure — compute-crunch data column
Sources
- Exponential View — exponentialview.co
- EV #573 (May 9, 2026) — exponentialview.co
- EV #575 (May 23, 2026) — exponentialview.co
- "The AI backlash is the only thing growing faster than AI revenues" (May 23, 2026) — exponentialview.co
- B200 compute-crunch column (May 4, 2026) — exponentialview.co
- China-labor-court column (May 3, 2026) — exponentialview.co