Imagine a YouTuber with 400,000 subscribers and about $180,000 a year who cannot get a mortgage, because her bank does not underwrite dashboards. The future of work has arrived, and the Money OS underneath it was built for the employee. In this first episode of The Future Of, a three-part mini-series on how you bank, how you shop and how you work, Aman Narain and Zubin Vandrevala return to a conversation first recorded late last year. The future of work, they argue, runs through the one-person enterprise: a creator, freelancer or sole trader who looks like a company on paper but has no employees, no payslip and no HR. Platforms such as Uber, Shopify and YouTube now supply the sales, marketing and operations, and increasingly the finance function. The banks underneath have not caught up. Aman Narain and Zubin Vandrevala break down what the future of work demands from the financial system: real-time visibility of income, instant and programmable payments, credit that reads cash-flow futures rather than payslips, portable pensions, and insurance for algorithmic risk. Key takeaways: 1. Platforms such as Uber, Shopify and YouTube now act as the CFO layer for independent workers, running payroll, treasury, working capital and tax, while banks become the regulated infrastructure underneath them. 2. Credit built on payslips cannot see a creator with 400,000 subscribers and about $180,000 a year, so banks must underwrite cash-flow futures from platform data rather than income history. 3. Four forces explain why work feels broken: walls, human agency, automation and modularity, which the hosts spell as WHAM. 4. A new Money OS for the future of work needs five primitives: see, move, borrow, grow and protect your money. 5. Both hosts make a dated bet: by the end of 2027 a major platform will auto-save into a portable pension by default, and a top-ten Asian bank will approve home loans on platform earnings data, not a payslip. Topics covered: - The 1985 job interview against the 2025 AI screen - Carlota Perez, the vibecession and the chaotic middle between two eras - WHAM: walls, human agency, automation and modularity - Why the future of work looks like a playlist, not an album - Why US business formation hit a record after 2020, and India's 63 million MSMEs - The one-person enterprise at the heart of the future of work, and platforms as the new C-suite - Why platforms are becoming your CFO, with banks as the regulated layer beneath - Five primitives of a new Money OS: see, move, borrow, grow, protect - Five risks and three upsides of the independent economy - Closing wagers: platform auto-pensions or payslip-free home loans by the end of 2027 Chapters: Referenced in this episode: Carlota Perez on technological revolutions; the WHAM framework; an MIT research report on automation and job polarisation; US Census Bureau Business Formation Statistics; India's MSME sector; Uber, Shopify, YouTube, Stripe and Amazon FBA as financial operating systems; Brazil's Pix and India's UPI; platform-worker pension policy in Singapore, France and the UK; PinBox; platform cooperatives. Related episodes: S2E18, The Stablecoin Endgame Nobody's Talking About; The Future Of: Banking and Shopping [TBD: add links when published]. Hosted by: Aman Narain writes at amanwhoblogs.substack.com. Zubin Vandrevala is your payments provocateur. Disclosure: Aman Narain is a board adviser to PinBox, which is mentioned in this episode. Enjoying A2Z Fintech? Leave a rating and review on Apple Podcasts. It is the single biggest signal to the Apple algorithm and how new listeners in our world find us. For information and entertainment only. Not financial advice. Transcript:

Four personal AI agents landed in seven weeks, and three of them can already spend your money. Meta's help page puts the liability in eleven words, and Instinct's terms bind you as if you had made the purchase yourself. Who pays when an AI agent gets it wrong, and why does every one of them arrive with a face? In seven weeks, Meta launched Muse (8 September), SpaceXAI put Grok Bot into beta, OpenAI unveiled dots (29 September) and Instinct raised $1 billion at a $10 billion valuation. Three of those AI agents can spend today, with Stripe's Link wallet behind Muse, Grok Bot and Instinct. The twist is in the contracts: on paper the user pays, the bot never does, and under US rules the bank may end up writing the refund. Aman Narain and Zubin Vandrevala break down who pays when AI agents make mistakes, who moves the money behind them, and why Meta, OpenAI and Instinct gave their AI agents a face while Google and Anthropic did not. Key takeaways: 1. On the contract, you pay: Meta and Instinct both put liability for an AI agent's purchases on the user, and in no version does the bot pay. 2. A bot's silence is the new pending: the failure that nearly cost Aman a meeting was a confirmation that never came, not a wrong charge. 3. Muse, Grok Bot and Instinct all pay through Stripe's Link wallet, yet the power sits at the two ends: the bot you trust and the shop with the goods. 4. Amazon blocked Muse twelve days after launch, and Sierra and Meta's answer is a standard that says who is knocking but not who pays. 5. Before an AI agent gets your card, ask three things: does it ask first, what is the cap, and who do you call. Topics covered: - Muse, Grok Bot, dots and Instinct: which AI agents can spend, and which cannot yet - The two clauses that decide liability: Meta's help page and Instinct's section three - Why silence, not a wrong charge, is the failure mode - How an agent purchase works: request, approve, issue, pay - Regulation E and the bank as the unwitting insurer - Amazon's block of Muse, and the Personal Agent Protocol from Sierra and Meta - India's NPCI and its Unified Agent Protocol - Why Meta, OpenAI and Instinct gave agents a face, and why Google and Anthropic did not - Ask, cap, call: three questions before an AI agent gets your card Chapters: Referenced in this episode: Meta Muse launch and help page; Stripe Link wallet for agents; Instinct Series C; Grok Bot beta; OpenAI DevDay and dots; Amazon's block of Muse; Sierra and Meta Personal Agent Protocol; NPCI Unified Agent Protocol; Regulation E; White House executive order on "Super Intelligence"; Microsoft Copilot's Mico. Related episodes: Google I/O 2026 (Gemini Spark); Stripe and the Money OS [TBD: title and link]; S2E28, Revolut [TBD: link]. Hosted by: Aman Narain writes at amanwhoblogs.substack.com. Zubin Vandrevala is your payments provocateur. Enjoying A2Z Fintech? Leave a rating and review on Apple Podcasts. It is the single biggest signal to the Apple algorithm and how new listeners in our world find us. For information and entertainment only. Not financial advice. Transcript:

Andreessen Horowitz has published 90 slides arguing that AI is not a bubble, one month after closing a $1.1 billion fund for AI hardware. On slide 88, holographic Pokémon cards are up 110% since January 2024, against 72% for the Nasdaq. The real question is not whether there is an AI bubble, but who is holding it when the next buyer pauses. On 30 September, a16z's Growth team, led by David George, published State of Markets II. The deck makes a serious case: tech delivered about 76% of the S&P 500's earnings growth this year, and valuations fell while profits rose. The twist is in the financing. Meta's Hyperion data centre sits in a vehicle 80% owned by Blue Owl's funds, the Chicago Fed puts large US banks' committed AI-related lines at about a quarter of their core capital, and the AI bubble debate has quietly moved from shareholders to banks, insurers and pension funds. Aman Narain and Zubin Vandrevala boil the deck down to five mega trends and ten takeaways for financial services, score every argument, and walk through, day by day, what happens if the AI bubble bursts. Key takeaways: 1. a16z is right about the companies and silent on who pays for them: in one quarter Alphabet and Amazon booked about $150 billion of paper gains on private AI stakes, roughly 12% of S&P 500 earnings on Goldman's estimate. 2. Finance has become the balance sheet of AI: Meta's Hyperion data centre sits in a vehicle 80% owned by Blue Owl's funds, with about $27 billion of bonds behind it and Meta as the tenant. 3. The Chicago Fed puts large US banks' drawn AI-related loans at about 9% of Tier 1 capital and committed lines at about 25%. The gap is what nobody sees until a bad week. 4. AI efficiency is real and gets competed away. The saving goes to the customer, and part of the AI budget comes straight out of headcount. 5. If the AI bubble bursts, pensions and insurers face a markdown rather than a wipe-out. The danger is that every loss arrives in the same week. Topics covered: - Why a16z's deck deserves both respect and a disclaimer: the umbrella seller's weather forecast - Five mega trends, argued both ways and scored: earnings, capex, atoms, cheap intelligence, private markets - The merry-go-round between cloud giants, AI labs and lenders - Linda in Loudoun County, and what data centres do to a household electricity bill - How Meta rents its own Hyperion data centre, and why Steve Eisman reaches for Enron - Graham's pension: one capex cycle in four wrappers - Chip-backed loans, data-centre securitisations and a CDO question from London in 2000 - Fintech funding splitting in two: Stripe and Revolut, then everyone else - Agentic payments: machines paying machines before consumers do - What happens to pensions and life insurance if the AI bubble bursts, and the likelier plateau - Four dated predictions, to be checked on 6 October 2027 Chapters: Referenced in this episode: a16z, State of Markets II (30 September 2026); a16z's $1.1 billion AI hardware fund (28 August 2026); Goldman Sachs on Q2 investment gains; Meta Hyperion and Blue Owl; Moody's on $662 billion of leases not yet commenced; Chicago Fed on AI tail risk for banks; JLARC Virginia on household bills; the VoxEU study of about 1,200 utility territories; the Bank of England FPC record (30 September 2026); Mary Meeker's Internet Trends; Benedict Evans's annual presentation; Macbeth, Act 4, Scene 1. Related episodes: Why the AI Bubble Won't Burst (Even If They Say It Will); S2E28 — Revolut-ion; Could a Kitchen Table in Ohio Decide AI's Future in November?; S2E17 — SpaceX's $2 Trillion IPO vs the AI Listing Race; S2E16 — Polymarket, Kalshi and the $1B Bet on Who Knew First. Hosted by: Aman Narain writes at amanwhoblogs.substack.com. Zubin Vandrevala is your payments provocateur. Enjoying A2Z Fintech? Leave a rating and review on Apple Podcasts. It is the single biggest signal to the Apple algorithm and how new listeners in our world find us. For information and entertainment only. Not financial advice. Transcript:

Revolut is valued at $115 billion, holds more than £50 billion of customer money, and lends out about £2 billion of it. What does a bank that refuses to lend actually do with a deposit, and what happens when the man who built it is the only part that cannot be automated? In September Nik Storonsky won conditional approval from the OCC to form Revolut Bank US, sat down with the Banque de France in a black suit and a red tie, and watched two data breaches reach Revolut customers inside a fortnight. The founder who spent years being publicly rude about regulators is now dressing for them, and for the investors who will price a Revolut listing at up to $200 billion. Aman Narain and Zubin Vandrevala trace Storonsky from Dolgoprudny and the Lehman trading floor to the Revolut of today, and ask whether he has built anything that works when he is not in the room. Key takeaways: 1. Revolut's scar is Lehman, not Moscow: it lends under 5p of every deposit pound, where Nubank lends roughly 58p. 2. Nubank, Revolut and SoFi run the same flywheel but answer one question differently: a deposit is for credit, for float, or for software. 3. Removing credit risk bought rate risk. When rates fall the float shrinks, as Wise has already shown. 4. Citi, HSBC and Standard Chartered retreating as Revolut advances is one spreadsheet read from opposite ends. 5. Storonsky took judgment out of lending, hiring and investing, and kept all of it in one room: his own. Topics covered: - Dolgoprudny, the 1998 default, Phystech and the Lehman floor on 15 September 2008 - A sub-5% loan-to-deposit ratio, the contested 40-50% return on equity, and the ECB's 4.5% capital add-on - Nubank, Revolut and SoFi: one flywheel, three ladders - Mexico's 15% savings rate, and the rate risk inside the float - Forty direct reports, Karma scores and five risk chiefs in seven years - Revolut Pay, Spanish ATMs, a £500,000 private bank, Revolut People and AIR - John Reed's Citi, success transfer, and the incumbents' retreat from retail - Ports versus platforms, and why Durbin may tax the US charter - The case against: fines, a secret ECB freeze, two breaches and sanctions - The IPO test, and two closing wagers Chapters: Referenced in this episode: Revolut 2025 annual report; Revolut $115bn secondary share sale (July 2026); OCC conditional approval for Revolut Bank US (3 September 2026); ECB restrictions on new EEA products (from July 2025); fraudulent government data requests and the DriveWealth breach (September 2026); Storonsky in conversation with David Rubenstein (April 2026); the FT's Patrick Jenkins in Paris; Citi's 2021 consumer exits; John Reed and Citi's 1977 ATM network; Elon Musk's X.com (1999). Related episodes: Nubank and the Purple Revolution; Wedge, Ladder, Driver; S2E20 — The Real Price of PayPal. Hosted by: Aman Narain writes at amanwhoblogs.substack.com. Zubin Vandrevala is your payments provocateur. Enjoying A2Z Fintech? Leave a rating and review on Apple Podcasts. It is the single biggest signal to the Apple algorithm and how new listeners in our world find us. For information and entertainment only. Not financial advice. Transcript:

In seventy-two hours the AI industry asked to slow down, OpenAI shelved a trillion-dollar listing, and the President called the whole thing a hoax on speakerphone. Everyone called it the week AI flip-flopped; nobody did, and one supplier gets paid either way. On Saturday 12 September, Anthropic chief executive Dario Amodei published We Must Pace the Frontier, a call for an AI slowdown in how fast frontier models gain capability. Within hours Elon Musk replied "Dario is right" and Sam Altman told Fortune there would be no OpenAI IPO this year. By Monday, President Trump had called AI fears a hoax and phoned Jensen Huang live at the All-In Summit. The twist: the call for an AI slowdown came in the same quarter Anthropic booked $11.5 billion of revenue and positive adjusted operating profit. Aman Narain, solo this week while Zubin Vandrevala is in London, breaks down who actually wants an AI slowdown, who only says so, and who gets paid whichever way it goes. Key takeaways: 1. Almost nobody changed position this week. What changed is which kind of doom each player chose to say out loud. 2. Read the capex, the PAC cheques and the IPO calendar: what AI leaders say moves weekly, what they spend does not. 3. The call for an AI slowdown arrived in the quarter Anthropic proved the frontier pays. 4. Pacing is not stopping. In a boom Nvidia sells the training, in a slowdown it sells the testing, and inference carries on regardless. 5. The doom that decides the US midterms is not extinction. It is the electricity bill of a voter who lives near a data centre. Topics covered: - Five things in fourteen days: escaped agents, a resignation, Nvidia buying Hugging Face, the essay, the speakerphone - A four-box map: AGI believers and sceptics, accelerators and restrainers, and the two people who move - Three dooms and two booms: extinction, displacement and deflation against capability and capital - Say versus pay: Sam Altman's four positions in eleven years - David Sacks's cartel charge, Jensen Huang's inspectors, and 100 gigawatts of physics - The circular trade: Nvidia's equity in its customers, and the Lucent precedent - Why an AI slowdown does not shrink Nvidia's order book - Data centres, power bills and the midterms - China: invoked everywhere, included nowhere - Four calls for 2026, including where Anthropic's IPO prices - Closing wagers: prophet or cynic? Chapters: Referenced in this episode: Dario Amodei, We Must Pace the Frontier; Dario Amodei, Machines of Loving Grace; Jacob Coxon's resignation and Evan Hubinger's reply; Nvidia's $12.93bn agreement to acquire Hugging Face; Sam Altman's Fortune interview; the All-In Summit call between President Trump and Jensen Huang; Anthropic and OpenAI Q2 2026 results as reported by the FT, CNBC and WSJ; Aswath Damodaran on Anthropic's valuation; Annenberg Public Policy Center polling on data centres; Lucent and Nortel vendor financing; Søren Kierkegaard, The Concept of Anxiety. Related episodes: SpaceX, Anthropic, OpenAI: The $2tn IPO Boom; Google I/O 2026: Sundar Pichai's 25-Year AI Long Game; S2E24 on Google's AI leadership reshuffle. Hosted by: Aman Narain writes at amanwhoblogs.substack.com. Zubin Vandrevala, your payments provocateur, sat this one out in London. Enjoying A2Z Fintech? Leave a rating and review on Apple Podcasts. It is the single biggest signal to the Apple algorithm and how new listeners in our world find us. For information and entertainment only. Not financial advice. Transcript: