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129 episodes

Post-labour economics and the future of capitalism, with Ted Shelton
09/05/2026 | 45 mins.
This episode continues our investigation into the potential wide-ranging implications of advanced AI for economics.
Traditionally, value is said to be created by a combination of capital, which covers the cost of materials and equipment, and labour, whereby humans exercise skills, ingenuity, diligence, attention, and more. What has been a constant debate is the appropriate division of rewards between capital and labour. Critics of the operation of capitalism have often predicted that an accumulation of value within small groups of owners of capital will cause economic instabilities and a subsequent collapse. Despite these forecasts, capitalism has, so far, demonstrated great resilience, defying predictions of its collapse. But if human labour is increasingly displaced by advanced automation, the balance of labour and capital will be fundamentally changed, and capitalism will come under unprecedented pressures.
That’s the thesis of our guest today, Ted Shelton. David first met Ted about 25 years ago, when Ted was Chief Strategy Officer of the software development tools company Borland, and David was an executive within the early smartphone industry. Since that time, Ted has worked for a variety of companies in and around Silicon Valley, including PwC, Cognizant Technology Solutions, Catalytic, Bain, and Inflection AI. Recently, he has been giving a great deal of thought to where AI is taking the economy.
Selected follow-ups:
Ted Shelton's posts on LinkedIn
"On the Transformation of Capitalism's Fundamental Assumptions Under Conditions of Scaling Machine Intelligence" - working paper by Ted Shelton
"The Industrial Economy Is Ending. What Comes Next?" - by Ted Shelton
Thomas Piketty's book "Capital in the Twenty-First Century" - Wikipedia
Nicholas Eberstadt's book "Men Without Work: America's Invisible Crisis" - Wikipedia
Richard Sutton's essay "Bitter Lesson" - Wikipedia
"Technofeudalism" - articles by Yanis Varoufakis
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Windfall Trust and the Economic Singularity, with Adrian Brown
22/04/2026 | 45 mins.
What happens if AI delivers major advances in capability and productivity, but also creates significant disruption to jobs, incomes, and public finances? That question sits at the heart of today’s episode.
Our guest is Adrian Brown, the Founder and Chief Executive of Windfall Trust, a nonprofit focused on helping governments and societies prepare for the economic consequences of advanced AI. Windfall describes itself not as a think tank, but as a “policy accelerator for the age of artificial intelligence”.
Their work starts from a simple premise: if AI systems significantly reshape the economy, then the question is not only how we build them, but how we prepare for their impacts, and how the gains are ultimately shared.
Before founding Windfall Trust, Adrian was the founding Executive Director of the Centre for Public Impact, worked as a policy advisor in the UK Cabinet Office, and held roles at McKinsey and the Boston Consulting Group.
Selected follow-ups:
Windfall Trust
Exercise Cygnus (Wikipedia)
Erik Brynjolfsson (personal site)
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence (paper by Erik Brynjolfsson and colleagues)
Anton Korinek (personal site)
Windfall's UK Scenarios exercise
The Economic Singularity (recent discussion paper by Calum Chace)
Industrial Policy for the Intelligence Age (OpenAI)
UK Government announcement of the formation of "The AI and Future of Work Unit"
UK Chancellor Rachel Reeve's announcement of a new "AI Economics Institute"
"AI will kill income tax" - episode of Robert Peston's podcast "The Rest is Money"
Windfall Policy Atlas
Task-Completion Time Horizons of Frontier AI Models (METR)
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

C-Suite Perspectives
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Anticipating 2026
07/01/2026 | 52 mins.
When we started this Podcast back in August 2022, we, Calum and David, announced the theme to be “Anticipating and managing exponential impact”. We talked about three sub-themes: Developing the skills of exponential foresight; Distinguishing between scenarios, whether they were plausible or implausible, and whether they were desirable or undesirable; and thirdly, Supporting the community of collaborative exponential foresight. 126 episodes later, as we reach the transition between 2025 and 2026, it’s a good time for the two of us to take stock.
Accordingly, in this episode, we each pick out a number of events from the last 12 months which we see as potential signals of larger exponential impact ahead.
Selected follow-ups:
An MIT report that 95% of AI pilots fail spooked investors - by Jeremy Kahn
The Shape of AI: Jaggedness, Bottlenecks and Salients - by Ethan Mollick
The Road To Superintelligence - by Calum
AI Doomers, Accelerationists & Scouts - Digital Disruption
The Economic Singularity - book by Calum
How can better foresight actually improve the world? - Webinar in the series "From forecasts to levers"
Disrupting the first reported AI-orchestrated cyber espionage campaign - Anthropic
Major Neuromorphic Computing projects - listed by Conscium
Why AI Agent Verification Is A Critical Industry - by Calum
Climate change and populism: Grounds for optimism? - LFP episode with Matt Burgess
What's Our Problem? - book by Tim Urban
OpenAI and Retro Biosciences achieve 50x increase in expressing stem cell reprogramming markers
Progress at LEVF, December 2025 - by David
UK Biobank
The THRIVE Act - Regenerative Medicine Foundation
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.
Listen on: Apple Podcasts Spotify
The puzzle pieces that can defuse the US-China AI race dynamic, with Kayla Blomquist
23/12/2025 | 35 mins.
Almost every serious discussion about options to constrain the development of advanced AI results in someone raising the question: “But what about China?” The worry behind this question is that slowing down AI research and development in the US and Europe will allow China to race ahead.
It's true: the relationship between China and the rest of the world has many complications. That’s why we’re delighted that our guest in this episode is Kayla Blomquist, the Co-founder and Director of the Oxford China Policy Lab, or OCPL for short. OCPL describes itself as a global community of China and emerging technology researchers at Oxford, who produce policy-relevant research to navigate risks in the US-China relationship and beyond.
In parallel with her role at OCPL, Kayla is pursuing a DPhil at the Oxford Internet Institute. She is a recent fellow at the Centre for Governance of AI, and the lead researcher and contributing author to the Oxford China Briefing Book. She holds an MSc from the Oxford Internet Institute and a BA with Honours in International Relations, Public Policy, and Mandarin Chinese from the University of Denver. She also studied at Peking University and is professionally fluent in Mandarin.
Kayla previously worked as a diplomat in the U.S. Mission to China, where she specialized in the governance of emerging technologies, human rights, and improving the use of new technology within government services.
Selected follow-ups:
Kayla Blomquist - Personal site
Oxford China Policy Lab
The Oxford Internet Institute (OII)
Google AI defeats human Go champion (Ke Jie)
AI Safety Summit 2023 (Bletchley Park, UK)
United Kingdom: Balancing Safety, Security, and Growth - OCPL
China wants to lead the world on AI regulation - report from APEC 2025
China's WAICO proposal and the reordering of global AI governance
Impact of AI on cyber threat from now to 2027
Options for the future of the global governance of AI - London Futurists Webinar
A Tentative Draft of a Treaty - Online appendix to the book If Anyone Builds It, Everyone Dies
An International Agreement to Prevent the Premature Creation of Artificial Superintelligence
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.
Listen on: Apple Podcasts Spotify
Jensen Huang and the zero billion dollar market, with Stephen Witt
16/12/2025 | 45 mins.
Our guest in this episode is Stephen Witt, an American journalist and author who writes about the people driving the technological revolutions. He is a regular contributor to The New Yorker, and is famous for deep-dive investigations.
Stephen's new book is "The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip", which has just won the 2025 Financial Times and Schroders Business Book of the Year Award. It is a definitive account of the rise of Nvidia, from its foundation in a Denny's restaurant in 1993 as a video game component manufacturer, to becoming the world's most valuable company, and the hardware provider for the current AI boom.
Stephen's previous book, “How Music Got Free”, is a history of music piracy and the MP3, and was also a finalist for the FT Business Book of the Year.
Selected follow-ups:
Stephen Witt - personal site
Articles by Stephen Witt on The New Yorker
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip - book site
Stephen Witt wins FT and Schroders Business Book of the Year - Financial Times
Nvidia Executives
Battle Royale (Japanese film) - IMDb
The Economic Singularity - book by Calum Chace
A Cubic Millimeter of a Human Brain Has Been Mapped in Spectacular Detail - Nature
NotebookLM - by Google
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.
Listen on: Apple Podcasts Spotify

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About London Futurists

Anticipating and managing exponential impact - hosts David Wood and Calum ChaceCalum Chace is a sought-after keynote speaker and best-selling writer on artificial intelligence. He focuses on the medium- and long-term impact of AI on all of us, our societies and our economies. He advises companies and governments on AI policy.His non-fiction books on AI are Surviving AI, about superintelligence, and The Economic Singularity, about the future of jobs. Both are now in their third editions.He also wrote Pandora's Brain and Pandora’s Oracle, a pair of techno-thrillers about the first superintelligence. He is a regular contributor to magazines, newspapers, and radio.In the last decade, Calum has given over 150 talks in 20 countries on six continents. Videos of his talks, and lots of other materials are available at https://calumchace.com/.He is co-founder of a think tank focused on the future of jobs, called the Economic Singularity Foundation. The Foundation has published Stories from 2045, a collection of short stories written by its members.Before becoming a full-time writer and speaker, Calum had a 30-year career in journalism and in business, as a marketer, a strategy consultant and a CEO. He studied philosophy, politics, and economics at Oxford University, which confirmed his suspicion that science fiction is actually philosophy in fancy dress.David Wood is Chair of London Futurists, and is the author or lead editor of twelve books about the future, including The Singularity Principles, Vital Foresight, The Abolition of Aging, Smartphones and Beyond, and Sustainable Superabundance.He is also principal of the independent futurist consultancy and publisher Delta Wisdom, executive director of the Longevity Escape Velocity (LEV) Foundation, Foresight Advisor at SingularityNET, and a board director at the IEET (Institute for Ethics and Emerging Technologies). He regularly gives keynote talks around the world on how to prepare for radical disruption. See https://deltawisdom.com/.As a pioneer of the mobile computing and smartphone industry, he co-founded Symbian in 1998. By 2012, software written by his teams had been included as the operating system on 500 million smartphones.From 2010 to 2013, he was Technology Planning Lead (CTO) of Accenture Mobility, where he also co-led Accenture’s Mobility Health business initiative.Has an MA in Mathematics from Cambridge, where he also undertook doctoral research in the Philosophy of Science, and a DSc from the University of Westminster.

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