Azeem Azhar's Exponential View
How will the future unfold? What is the impact of AI and other exponential technologies on business & society? Join Azeem Azhar, founder of Exponential View, on his quest to demistify the era of exponential change.
Insights from recent episode analysis
On the show
- Rohit Krishnan2 eps
- Greg Williams1 ep
- Nita Farahany1 ep
Also: Eric Topol, Jaime Sevilla, Hannah Petrovic, Matt Robinson, Mustafa Suleyman
Audience Interest
Podcast Focus
Publishing Consistency
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 1 signal.
Built from
By chart position
- 🇬🇧United Kingdom · Technology#761.9K to 10K
- 🇧🇷Brazil · Technology#791.5K to 8.2K
- 🇩🇪Germany · Technology#150348 to 1.8K
- 🇫🇷France · Technology#145262 to 1.4K
- 🇳🇱Netherlands · Technology#100248 to 1.3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
4.5K to 24K🎙 Sporadic cadence·229 episodes·Last published 6d ago - Monthly Reach
Unique listeners across all episodes (30 days)
4.5K to 24K🇺🇸71%🇬🇧12%🇧🇷10%+4 more - Active Followers
Loyal subscribers who consistently listen
1.8K to 9.5K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/22/26 |  Inside the $110 billion AI economy (and who is really paying for it) | The AI economy is real and substantial. Forensic analysis of 1,000+ companies reveals where the revenue is flowing, and what it will take for the AI data center buildout to pay off. | 14m 47s | ||||||
| 6/4/26 | AI adoptionROI expectations+3 | — | ChatGPTCopilot | — | AIROI+5 | — | 19m 17s | ||
| 4/16/26 | AIwriting+3 | Greg Williams | Exponential ViewEV+2 | — | Exponential Vieweditor-in-chief+3 | — | 28m 18s | ||
| 4/1/26 | technologybusiness+3 | — | Karpathy’s autoresearch | — | autonomous scientific experimentationautoresearch AI tool+6 | — | 21m 02s | ||
| 3/25/26 | AItechnology+3 | — | OpenClawNVIDIA | — | NVIDIAAI compute demand+4 | — | 36m 35s | ||
| 3/18/26 | technologybusiness+3 | — | Apple | — | AppleAI+6 | — | 21m 00s | ||
| 3/13/26 | AIcognitive science+3 | — | custom tools | — | AI usethinking+3 | — | 32m 56s | ||
| 3/5/26 | artificial intelligencetechnology+3 | — | R Mini ArnoldMac+3 | — | OpenClawAI team+5 | — | 41m 43s | ||
| 2/25/26 | AIcognitive liberty+3 | Nita FarahanyEric Topol+1 | AI VistasDuke University+2 | — | AI toolscognitive liberty+3 | — | 52m 24s | ||
| 2/19/26 | AI agentstechnology+3 | Rohit Krishnan | OpenClawClaude Code+3 | — | AI agentsOpenClaw+3 | — | 52m 43s | ||
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 2/13/26 | economicsAI+3 | Jaime SevillaHannah Petrovic+1 | OpenAIEpoch AI+2 | — | OpenAIfinancial analysis+4 | — | 49m 46s | ||
| 2/5/26 | AItechnology+3 | Mustafa Suleyman | OpenClawMicrosoft AI+1 | — | seemingly conscious AIcollective AI psychosis+3 | — | 50m 16s | ||
| 1/29/26 |  Davos 2026 and the end of the rules-based order | At Davos 2026, the mood was unlike any previous World Economic Forum gathering. With Donald Trump arriving amid escalating geopolitical tensions and European leaders sounding alarms about sovereignty, I recorded live dispatches from the ground. In this special episode, I bring together observations from four days at the annual meeting, tracking the seismic shifts in global order alongside the practical realities of AI adoption in the enterprise. | 16m 23s | ||||||
| 1/21/26 |  Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts | In this episode, Peter McCrory, Head of Economics at Anthropic, unpacks the company's new Economic Index report. His team analyzed millions of real Claude conversations to map exactly where AI is augmenting human work today and where it isn't. We explore the striking divergence between API and chat usage, why businesses need to extract tacit knowledge to unlock AI's potential, the "hollow ladder" risk for junior workers, and Anthropic's estimate that AI could add 1.0-1.8% to annual productivity growth over the next decade. | 54m 50s | ||||||
| 1/16/26 |  My outlook for 2026: orchestration, the human edge and the AI bubble | In this episode, I share my outlook for 2026 and explain why AI tools now feel genuinely different. I explore how the act of making has been transformed, why authenticity and meaning will become the new scarcity, and whether the foundations of energy and capital can hold. I also address the question I was asked most in 2025: when will the AI bubble burst? | 32m 44s | ||||||
| 1/8/26 |  AI, markets, and power: A conversation with Paul Krugman (2025 re-run) | In this episode, Nobel Prize-winning economist Paul Krugman and I discuss how a strong US economy, high asset valuations, and rapid AI adoption are sitting in uneasy tension. We explore what past technology cycles can teach us, why safety nets struggle to address disruption, and where genuine optimism still makes sense. | 47m 14s | ||||||
| 12/20/25 |  Reflecting on 2025 (the K-shaped economy, AI's impact on work and human judgement, energy bottlenecks) | What made 2025 special? 🎊 We recorded this to publish after Christmas, but demand for year‑end reflections prompted an early release - so if you hear me say Christmas has passed, that’s why. 🎊 In this episode, I reflect on the past year and what it revealed: a K-shaped divide. On one track, AI models are now doing hours of high quality work, improving at exponential pace, and shifting how we work from doing to judging. On the other, organisations and the broader economy are struggling to keep up. Stay to the end for my seasonal film recommendation. | 25m 17s | ||||||
| 12/19/25 |  What I learned from the world's leading minds in 2025 | In this episode, I’ve distilled a year of extraordinary dialogue into one 20-minute briefing. I’ve spent 2025 in conversation with the architects of our future - the builders and thinkers redefining AI, energy, and the global economy. These are the "eureka" moments from my most exclusive interviews. From the future of "protopia" with Kevin Kelly to the hidden tech gaps with Dan Wang, this is your strategic roadmap for the exponential age. | 21m 31s | ||||||
| 12/10/25 |  What it will take for AI to scale (energy, compute, talent) | In this episode, I look at the next 24 months of AI. The technology is improving rapidly – so what could hold back widespread transformation of how we work and live? I dig into the real constraints, from electricity shortages to institutional inertia, why mid-2026 matters for enterprise AI, and why so many people remain uneasy about a technology they use every day. | 24m 06s | ||||||
| 12/5/25 |  The method of invention, AI's new clock speed and why capital markets are confused | In this episode, I reflect on the third anniversary of ChatGPT's launch as a marker of where we are in the exponential age. As a product, ChatGPT captures the speed of technological progress, the new behaviours emerging around it and the widening gap between innovation and institutional change – all symptomatic of the era I called the exponential age in my 2021 book. | 24m 13s | ||||||
| 11/21/25 |  Why the AI productivity gains haven’t arrived - yet | The AI industry is sending mixed signals, with markets turning red while teams report real productivity gains. In this session I explore why we are living in a split reality, where individuals move faster with these tools but the wider economy is ambivalent. We once assumed juniors would get the biggest lift from AI, yet the newer agentic tools seem to reward senior workers who know how to structure problems and judge output. | 21m 30s | ||||||
| 11/14/25 |  Where did all the entry-level jobs go? (With Revelio CEO Ben Zweig) | Junior roles in AI-exposed fields are disappearing fast. The obvious culprit is AI rapidly automating entry-level jobs. And yet, this isn't quite right. What is driving the drop is managers’ expectations about what AI will do, not the work that it's already replacing. I discussed this with Ben Zweig of Revelio Labs, which builds global workforce data from millions of individual profiles to track hiring, separations and job flows. Together, we explored the future of work and shared practical advice for new grads. | 47m 58s | ||||||
| 11/7/25 |  The demand for infinite compute | The AI boom isn’t just about chatbots. In this video, I explain why cloud companies and chipmakers are exploding in value: we’re moving into an economy where computation becomes a fundamental input – like steel, electricity or oil. If that’s true, our demand for compute could approach infinity. | 16m 52s | ||||||
| 10/23/25 |  Inside the US–China decoupling: What’s really at stake (AI, rare earths, Taiwan, trade) | In this episode, I speak with Jordan Schneider, creator of Chinatalk, to explore the new phase of US–China competition. Both countries are using trade policy, export controls and industrial strategy to shift the balance of global power. Yet, their economies remain tightly bound. | 45m 19s | ||||||
| 10/8/25 |  Inside the collapse of the internet economy (and what comes next) | This conversation is a practical map of how AI “answer engines” upend the web’s traffic-funded model – and what could replace it. Matthew Prince (co-founder and CEO of Cloudflare) joins Azeem to discuss scarcity, pricing, and why unique, trustworthy content becomes the premium input to AI. | 46m 42s | ||||||
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Chart history for Azeem Azhar's Exponential View
Peaked at #72 in HK, currently #72 in HK.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| HK | — | #72 | #72 | — |
| United Kingdom | — | #76 | #76 | — |
| Brazil | — | #79 | #79 | — |
| Netherlands | — | #100 | #100 | — |
| France | — | #145 | #145 | — |
| Germany | — | #150 | #150 | — |
| Norway | — | #165 | #165 | — |
Chart Positions
7 placements across 7 markets.
Chart Positions
7 placements across 7 markets.