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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:
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:
- (00:00) - Cold open: Pokémon cards beat the Nasdaq
- (00:53) - San Francisco to Vegas: Metallica, then Money20/20
- (01:39) - Singapore: fintech, fatherhood and F1
- (02:16) - A confession: the one thing we got wrong
- (02:56) - Meeker, Evans and a16z's 90 slides
- (03:29) - Disclaimer
- (03:49) - A weather forecast from a man selling umbrellas
- (04:37) - Five mega trends, ten takeaways, one cauldron
- (05:15) - Mega trend 1: profits are outrunning prices
- (05:55) - A snake eating its own tail: $99bn of paper gains
- (06:53) - Mega trend 2: $780 billion of capex, on credit
- (07:58) - The merry-go-round and the three witches
- (09:06) - Mega trend 3: "Atoms are so back"
- (09:48) - Linda in Loudoun County: the $14 to $37 bill
- (10:40) - The GPUs arrive on time. The grid does not
- (11:07) - Mega trend 4: Jevons paradox and cheap intelligence
- (12:09) - The AI budget is your headcount
- (12:27) - Mega trend 5: unicorns outweigh the Russell 2000
- (13:26) - Prof Z: how Meta rents its own $27bn data centre
- (14:38) - Eisman, Enron and where the risk ends up
- (15:05) - Part two: Graham in Surrey, Priya in Pune
- (15:54) - Takeaway 1: finance is the balance sheet of AI
- (16:42) - Takeaway 2: one bet in four wrappers
- (17:27) - Takeaway 3: a six-year loan on a chip
- (18:21) - London, 2000: "Nobody loses. Everybody wins."
- (20:13) - Takeaway 4: private markets, sold late to retail
- (21:03) - Takeaway 5: the fees are in power, not silicon
- (21:48) - Takeaway 6: fintech funding splits in two
- (22:29) - Takeaway 7: the bank's card ledger as macro data
- (23:04) - Takeaway 8: AI savings get competed away
- (24:18) - Takeaway 9: machines paying machines
- (25:08) - Takeaway 10: the assistant is the new shelf
- (25:45) - If the AI bubble bursts: seven days, day by day
- (27:57) - The adult in the room: correction, then hangover
- (28:34) - What happens to your pension if it bursts?
- (28:54) - Closing wagers: Anthropic or OpenAI to list first?
- (30:02) - The mic drop: the slide a16z didn't write
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: