Trillions are being spent on the promise that AI will make us more productive — so why are the economic statistics nearly silent? From Robert Solow’s famous 1987 one-liner to the electric dynamo that took decades to pay off, we unpack the AI productivity paradox and the diffusion race that will decide who wins the AI economy.

In this episode: why general-purpose technologies pay off twice, what randomised trials of AI coding assistants actually measured, the honest case from the skeptics — including MIT economist Daron Acemoglu’s arithmetic — and the US Census data showing how few businesses truly use AI today.

Sources include: Paul David (American Economic Review), Brynjolfsson, Rock & Syverson, Daron Acemoglu (NBER), the OECD, and the US Census Bureau.

Open MAInd is created with the help of AI tools, including AI-generated voices. Educational content, not professional advice.

Open MAInd is for educational and informational purposes only and does not constitute professional advice. While we strive for accuracy and verify against credible sources, we make no warranty that all content is error-free.

Will AI take your job? This episode looks at what the evidence actually says about artificial intelligence, jobs and the future of work — from the IMF, World Economic Forum, Goldman Sachs, McKinsey and the OECD — without the hype or the panic.

Series 2 of Open MAInd begins where the AI question gets personal. Alex and Jordan examine what’s already documented — which workers are feeling the impact first, why this wave targets white-collar work, and the crucial difference between AI replacing jobs and AI transforming them.

Along the way: why 40% of employers say they expect to cut roles AI can automate, why the same research projects 78 million MORE jobs by 2030, why women’s jobs are almost twice as exposed (and the structural reason behind it), and three thought experiments — a paralegal in Munich, a customer service rep in Dublin, a radiologist — that turn the statistics into something you can feel.

What you’ll take away:

• What the evidence shows is happening right now — versus projection

• Which jobs are most exposed, which are most protected, and why

• The 170M created / 92M displaced numbers behind the headlines — and what they hide

• Whether this time is different from every past technology wave

Open MAInd is an independent, educational podcast exploring artificial intelligence with an open mind — clearly, honestly, and without hype.

Produced with AI. Researched and reviewed by a human, with every fact checked against credible sources.

New episodes every Wednesday. Next week: what AI means for economic growth — the productivity promise.

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Open MAInd is for educational and informational purposes only and does not constitute professional advice. While we strive for accuracy and verify against credible sources, we make no warranty that all content is error-free.

Twenty-five AI characters lived in a town called Smallville — and threw a Valentine’s Day party no one told them to throw. This is the real Stanford experiment behind the headlines about artificial intelligence agents.

Welcome to The Lab — a new kind of Open MAInd episode. Between our main series, we take one real, documented AI experiment and put it under the microscope. In this first episode, Alex and Jordan step inside Stanford’s landmark “Generative Agents” study, where 25 AI agents — powered by the same kind of large language model behind ChatGPT — were each given a memory, the ability to reflect, and the ability to plan. Then the researchers planted a single idea in one agent’s mind, and watched what happened.

What followed — invitations spreading from agent to agent, new relationships, even dates to the party — looked remarkably human. But the real story is what it reveals about how AI behaves, and about how quickly we humans see minds where there are none.

What you’ll take away:

• How 25 AI agents organised a party from a single seeded idea

• What “emergent behaviour” means — and why it matters

• The honest line between believable AI and conscious AI

• What this experiment reveals about us, not just the machines

We separate what the research actually proves from what the internet exaggerated — and close on a question that’s only getting louder.

Open MAInd is an independent, educational podcast exploring artificial intelligence with an open mind — clearly, honestly, and without hype.

Made with the help of AI tools. Researched and reviewed by a human, with every fact checked against credible sources.

The Lab will be back between each series. Next week, Series 2 begins — AI and the economy.

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Open MAInd is for educational and informational purposes only and does not constitute professional advice. While we strive for accuracy and verify against credible sources, we make no warranty that all content is error-free

Who actually controls artificial intelligence? This episode maps the AI industry — OpenAI, Google DeepMind, Anthropic, Meta, and China’s DeepSeek — and the race for the chips, data, and power behind it.

Alex and Jordan go beyond the headlines to ask who really holds power in AI. They break down the major players and what each is competing for, the high-stakes debate between “open” and “closed” AI, the moment in early 2025 when a Chinese model called DeepSeek shocked the industry, and the hidden layer most people never see — the chips and data centres that the entire AI world depends on.

It’s a clearer picture of the AI power map than you’ll get almost anywhere — and it closes Series 1 by setting up everything we explore next about AI and the economy.

What you’ll take away:

• Who the major AI companies are and what they’re really competing for

• “Open” vs “closed” AI — what it means and why it matters

• Why DeepSeek and China changed the global AI conversation

• Why whoever controls the chips may control the future of AI

Open MAInd is an independent, educational podcast exploring artificial intelligence with an open mind — clearly, honestly, and without hype.

Produced with AI. Researched and reviewed by a human, with every fact checked against credible sources.

This is the final episode of Series 1. Follow Open MAInd so you don’t miss Series 2 — AI and the Economy. New episodes every Wednesday.

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Open MAInd is for educational and informational purposes only and does not constitute professional advice. While we strive for accuracy and verify against credible sources, we make no warranty that all content is error-free.

What is actually happening inside ChatGPT when you type a question? This episode explains how artificial intelligence really works — neural networks, large language models, and AI hallucinations — in plain language, no jargon, no maths.

Alex and Jordan open up the black box. You’ll learn how neural networks actually learn, what a large language model is really doing when it generates a response, why the “attention mechanism” changed everything, and — crucially — why these systems sometimes produce confident, fluent answers that are completely false.

Along the way: the 2023 case of a lawyer who trusted AI and ended up citing court cases that never existed, why bigger AI models don’t automatically mean less bias, and why the people who build these systems can’t always explain how they work.

By the end, you’ll understand AI well enough to use it more critically — and more powerfully.

What you’ll take away:

• How a neural network learns — explained with a simple analogy

• What really happens when you ask ChatGPT a question

• Why AI “hallucinates” — and why it can’t tell when it’s wrong

• How bias gets baked into AI, and why it’s so hard to remove

Open MAInd is an independent, educational podcast exploring artificial intelligence with an open mind — clearly, honestly, and without hype.

Produced with AI. Researched and reviewed by a human, with every fact checked against credible sources.

Follow Open MAInd so you don’t miss the next episode. New episodes every Wednesday.

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Open MAInd is for educational and informational purposes only and does not constitute professional advice. While we strive for accuracy and verify against credible sources, we make no warranty that all content is error-free.

Can a machine think? It’s the question a British mathematician named Alan Turing asked in 1950 — and it’s the question everything in artificial intelligence grows from.

In this opening episode of Open MAInd, Alex and Jordan trace the full arc of AI history across three eras. The Dreamers, who imagined thinking machines decades before the technology could deliver. The Survivors, who kept the idea alive through two brutal “AI winters” when funding vanished and the field was written off. And the Explosion — the breakthroughs of the last fifteen years that took AI from research labs into the hands of billions.

Along the way: the chatbot from 1966 that people treated like a therapist, the chess match that made headlines worldwide, the Go move so creative a world champion called it beautiful, and the protein-folding breakthrough that helped win two Nobel Prizes in a single year.

This is the foundation. Everything else we explore in this series builds on it.

What you’ll take away:

• Why the entire field was built on a decision to avoid defining intelligence

• How two “AI winters” nearly killed the technology — and what kept it alive

• Why every major breakthrough was considered impossible right up until it happened

• The question Turing asked in 1950 that we still haven’t answered

Open MAInd is an independent, educational podcast exploring artificial intelligence with an open mind — clearly, honestly, and without hype.

This episode was made with the help of AI tools. Every fact is verified against credible, publicly available sources before publication.

Follow Open MAInd so you don’t miss the next episode. New episodes every Wednesday.

We’d love to hear from you — leave a comment and tell us what surprised you most.

Welcome to Open MAInd — the podcast exploring artificial intelligence with an open mind.

In this first episode, your hosts Alex and Jordan introduce the show, the mission, and the journey ahead. AI is reshaping economies, geopolitics, societies, and industries simultaneously — and most of the conversation around it lives in one of two camps: blind excitement or blind fear. Open MAInd exists to offer something different.

In this episode we cover:

— How AI began: from Alan Turing’s 1950 thought experiment to the birth of the field in 1956

— The breakthroughs that changed everything: deep learning, AlphaGo, AlphaFold, and ChatGPT

— Why AI is a general-purpose technology unlike anything before it

— What the economic, geopolitical and social implications really mean for all of us

— What’s coming in future episodes

🤖 Transparency notice: Open MAInd is produced with the assistance of artificial intelligence, including AI-generated voices and research synthesis. All content is editorially reviewed before publication.