Episode overview

Ask the Mates anything | MOONSHOTS AMA #289

Peter Diamandis · 13 September 2026 · 1h 26m · 2 Egleze moments

What happened in this episode?

Peter Diamandis hosts a 90-minute “Moonshots” AMA with panellists including Salim Ismail (“Sim”), Dave (surname not given in the transcript) and a guest identified as Alex. Questions range from practical AI adoption to longer-horizon debates about consciousness, regulation and energy constraints.

On the business side, the panel discusses how individuals and companies can get started with AI tools, including advice for mid-career professionals seeking lower-risk paths into the space. One exchange focuses on proprietary operational datasets: Dave claims multiple AI firms, including OpenAI, are seeking to buy corporate data outright and suggests packaging datasets to make acquisition decisions easier.

Policy and security questions centre on how governments should approach AI risk: Alex argues the bigger risk is overregulation, warning it could hinder US competitiveness, including in relation to China. The group also discusses the “period of pain” they expect during institutional disruption, alongside the longer-term promise of abundance.

On technology frontiers, Diamandis talks about brain–computer interfaces as a possible way to raise humans’ information “baud rate”, disclosing that he advises and invests in several BCI companies. Alex offers an aggressive forecast on energy, predicting a “postfusion” era within a decade and claiming AI will accelerate breakthroughs in physics.

The episode also includes sponsor material and promotion for Moonshots Live and related communities.

What are the key points?

A panellist claims AI labs, including OpenAI, are seeking to buy proprietary corporate data for multi-million-dollar cheques.
Alex argues US policy should prioritise avoiding AI overregulation, warning of competitiveness risks versus China.
Peter Diamandis says he is an investor and adviser to three brain–computer interface (BCI) companies.
Diamandis and others suggest BCIs could eventually improve learning by delivering “preformed concepts” to users.
Alex predicts AI-assisted breakthroughs could bring “postfusion” energy sources within 10 years.
The panel describes near-term institutional disruption (“period of pain”) alongside a longer-term abundance thesis.

Who is speaking?

Named speakers identified in Egleze's source-linked moments from this episode.

Peter Diamandis
Dave

Which topics are covered?

AI & Tech Science Money

How is this page sourced?

Programme: Peter Diamandis
Published: 13 September 2026
Duration: 1h 26m
Original episode: Open the original source ↗

Egleze verifies the speaker, source and timestamp for each linked moment. Unless a moment is explicitly marked independently verified, statements remain attributed claims by the named speaker rather than established facts.

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2 moments from this episode

Source-linked · editorially selected

AI & Tech

Peter Diamandis says he is an investor and adviser to three brain–computer interface companies

Peter Diamandis · at 7:23 · Attributed speaker claim

The second of course is BCI um the brain computer interface right and right now if I asked you to think about a rabbit uh a preformed concept of a rabbit comes into your head whatever it is there's the potential in the future where BCI will help you by providing preformed concepts uh that uh you never learned but they're known by an AI ecosystem out there and delivering them directly to you. So, I'm an investor and adviser to three BCI companies right now.

Peter Diamandis says brain–computer interfaces (BCIs) could eventually allow people to receive “preformed concepts” directly, alongside AI systems that better filter and summarise information. He adds that he is currently “an investor and adviser to three BCI companies”, and says he expects significant and rapid advances in the field.

Read this moment → Check original at 7:23 ↗

AI & Tech

Moonshots panelist, Dave, says AI firms have dangled US$5m–US$10m cheques for corporate datasets

Dave · at 21:13 · Attributed speaker claim

Yeah, you know, we we've been reached out to by a bunch of the companies that you just mentioned, plus OpenAI, plus a couple of others, all saying we want to we want to write 5105 million checks to buy corporations that have data outright. And so, the first thing you want to do is make it easy for them to sign a check.

A Moonshots panellist identified as Dave says his team has been contacted by several AI companies—naming Scale, a firm he calls “Merore”, and OpenAI—seeking to buy companies outright for their data, with suggested cheque sizes of around US$5–10 million. He advises an audience member with decades of civil-engineering project records to prepare a clear due-diligence package to make a deal easier to execute, adding that labs may be slow to respond because “it’s chaos”.

Read this moment → Check original at 21:13 ↗