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ben thompson

T2 · manager / operator

Founder and author of Stratechery, an independent publication analyzing technology strategy, business models and the economics of digital platforms.

72 calls·22 names·44% bull·last heard last month·Invest Like The Best+2
track recordleaderboard →
hit rate
33%
avg alpha
-3.9pp
scored
3

top calls

best measured alpha vs SPY, then highest conviction · one per company
1st+14.1pp vs SPY
$BKNGBooking Holdings

Booking.com called underappreciated tech success story outperforming Google over 20 years

Booking.com has delivered superior shareholder returns versus Google over two decades due to its powerful aggregation model and excellent execution, yet remains underappreciated by the market.

Stripe2026-02episode →
2ndhigh conviction
$TTWOTake-Two Interactiveposition

Thompson: GTA 6 Vastly Underpriced at $80, Should Charge $200 Given AAA Craftsmanship Pinnacle

GTA 6 represents the peak of pre-AI AAA game development with years of craftsmanship, giving Rockstar immense pricing power that the market underestimates at current $80 price point.

TBPN2026-07episode →
3rdhigh conviction
$SUBSTACKSubstackposition

Premium newsletter model proves direct creator monetization at scale with low cost structure

The sovereign writer model — direct paid subscriptions, global reach via Stripe, minimal fixed costs — unlocks a massive long tail of viable media businesses; the internet enables infinite 'ponds' where creators can be the big fish, and AI further lowers production costs.

Stripe2026-02episode →

most discussed · click a bar to filter

  • $MSFT
  • $MU
  • $GOOGL
  • $INTC
  • $AAPL

recurring themes

  • Semiconductors6
  • AI Economics & Business Models4
  • Enterprise AI Adoption4
  • AI Bubble / Capex Debate3
  • AI Infrastructure3
72 total
$MU
···
Micron Technology
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Memory oligopoly discipline meets AI secular demand; algorithmic reduction and Apple diversification threaten long-term pricing power
Memory consolidated to three disciplined players (Micron, Samsung, SK Hynix) avoiding boom/bust cycles; AI/HBM demand is secular shift they were slow to recognize; but Apple lobbying for Chinese memory and algorithmic memory reduction create massive target on memory makers' backs — Iran Strait of Hormuz analogy.
"The problem is three, it's not a monopoly, but it's kind of an oligopoly. And they all got a lot more discipline about let's not make the mistakes of the past... My concern for th…"
37:00
$GOOGL
···
Alphabet
HIGHben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Google search is Sees Candies; AI is massive TAM cash incineration requiring equity issuance
Google's search monopoly generates high-margin but reinvestment-limited cash (like See's Candies); AI requires astronomical capital but offers TAM of all white-collar work, making equity issuance rational despite dilution — Berkshire's investment signals this transition.
"Google has this unbelievable high margin business of search. One of the most perfect beautiful business models of all time and the purest aggregator of them all... And meanwhile t…"
10:00
$INTC
···
Intel
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Scarcity saves Intel; TSMC underinvestment forces hyperscalers to qualify Intel foundry
TSMC's 2023-2025 growth deceleration created acute compute shortage; hyperscalers foregoing revenue will endure pain of qualifying Intel/Samsung foundries — major Intel foundry customer announcement imminent; TSMC brought competition on itself like memory makers and Iran Strait of Hormuz analogy.
"The scarcity is what ultimately saved Intel. Um, and I expect at some point in the near that they're going to announce like some major partner for the first time. It's going to be…"
44:00
$AMZN
···
Amazon
HIGHben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Amazon's first-best-customer model makes it the most compelling setup in big tech
Amazon builds infrastructure for its own massive retail/AWS needs first, then sells externally — Graviton and Trainium chips improved via internal managed services volume, logistics and call center AI following same playbook; core retail moat feels impervious to AI disruption.
"The answer is always Amazon. Um and the reason because what Amazon is so compelling is the extent to which they build for them. They are their first best customer like they provid…"
47:30
$BRK.B
···
Berkshire Hathaway
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Berkshire's Google equity investment symbolizes BNSF/See's Candies capital allocation playbook
Berkshire investing in Google's equity issuance mirrors its own history: See's Candies high-margin cash funded BNSF railroad's lower-margin but vastly larger absolute profits; Google search cash funding AI's massive TAM follows identical logic — Berkshire as both investor and model.
"Bergkshire Hathway has this problem to me. This Nvidia deal is very much paired with the Google equity issuance... Bergkshire being the symbol of that equity issuance in that are…"
11:00
$AAPL
···
Apple
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Apple's deterministic culture mismatches probabilistic AI; ecosystem moat deep but ambient AI threatens phone centrality
Apple's aggregator position lets it source AI as needed; on-device inference could eliminate cloud costs; but deterministic hardware culture (zero iPhone recalls) clashes with probabilistic AI development; ambient AI in home could disrupt phone-centric model like Microsoft missed mobile.
"AI is this probabilistic endeavor? Apple is the king of deterministic products. like a physical product. You ship that iPhone, you ship it once and it's got to be it's got to be g…"
51:00
$ANTHROPIC
Anthropic
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Anthropic's religious conviction ('evangelical' belief) is competitive advantage in frontier AI race
Anthropic operates with religious intensity — 'they're all in, it is core their belief' — which drives execution in capital-intensive frontier model race; contrasts with Google's cash-cow complacency and Meta's founder-driven but ad-distracted focus.
"The two religious organizations in Silicon Valley are the sort of like open kind of like mainline like they go to church every Sunday they're sort of like evangelicals is like tha…"
55:00
$MSFT
···
Microsoft
HIGHben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: Microsoft executing IBM 1990s middleware playbook; usage-based pricing breaks enterprise model
Microsoft avoids frontier model training, builds middleware layer for enterprise AI adoption — rational but desperate strategy; E7 usage-based pricing untethers revenue from headcount, forces monthly budget decisions, risks unbundling; AI agents threaten Office/Systems of Record moat.
"Microsoft is not on the frontier. The reason why Microsoft has $20 billion of free cash flow last quarter... their play is, okay, we're going to play all these off each other. We'…"
58:00
$SPCX
···
SpaceX
LOWben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: xAI's space data center play is differentiated but owning a model may be unnecessary capital destruction
Space-based data centers solve power/cooling/land constraints uniquely; but if xAI can rent capacity to any model (e.g., Anthropic), spending billions on Grok model training is questionable — Cursor acquisition makes tactical sense for both.
"The data centers in space is like that is the theory is there like do they have to own their own model though to do that? They'd get better margins if they do. Um then again if we…"
56:00
$OPENAI
OpenAI
MEDben thompson·Invest Like The Best·last month·What Happens When the AI Boom Runs Out of Money
Thompson: OpenAI replayed Dropbox consumer subscription trap; belated pivot to advertising and enterprise
OpenAI repeated Dropbox error: consumers won't pay for software and don't want productivity; subscription model hit ceiling, forcing late pivot to advertising (which Google/Meta perfected) and enterprise (where Anthropic leads); missed 12-month head start on ad product.
"You literally had open AAI replaying the Dropbox story but at like 100x size being like no we're going to sell subscriptions to consumers and they did. They sold a lot, but they d…"
29:00
9
Semiconductorstailwind
TSMC monopoly creates concentrated risk; scarcity forces hyperscaler diversification
Single leading-edge foundry (TSMC) offloads capacity risk to customers via conservative investment; geopolitical concentration in Taiwan adds tail risk; resulting shortages compel Google/Amazon/Microsoft to qualify Intel and Samsung foundries despite higher friction — 'cure for high prices is high prices.'
9
AI Bubble / Capex Debaterisk
Thompson: AI capex cycle faces timing mismatch — capital curve exhausted before revenue scales
Tech companies blew through free cash flow, then debt markets in ~1 year, now issuing equity (Google) and tapping pension/insurance capital via Nvidia neo-cloud structures; if revenue doesn't inflect before capital runs out, a blowup occurs — but AI progress continues regardless, like railroads post-1870s panic.
9
AI Infrastructurerisk
AI capex cycle faces funding gap before free cash flow inflection
Capex rising to $800B-$1.3T/year while revenue lags; capital curve progressing from FCF to debt to equity to pension/insurance money; risk of financial blowup if ROI timing mismatch persists, but AI progress continues regardless — analogous to railroad bubbles where infrastructure outlasted financial carnage.
9
Semiconductorstailwind
Thompson: TSMC conservatism creates structural compute shortage, forcing hyperscalers to fund Intel/Samsung foundry alternatives
TSMC's 30-year fab horizon bias toward underinvestment (2023-2025 growth deceleration) transferred overcapacity risk to big tech as foregone revenue; acute scarcity now makes previously irrational Intel/Samsung foundry partnerships economically necessary — geopolitical insurance via compute demand.
9
Semiconductorsheadwind
TSMC's risk aversion transfers foundry risk to hyperscalers, creating structural compute shortage
TSMC's cultural bias against overcapacity (30-year fab horizons) makes them underinvest relative to AI demand, shifting shortage risk to customers who face foregone revenue — this dynamic enabled Intel's foundry opportunity and may persist until scarcity forces hyperscalers to qualify alternative suppliers.
9
Advertisingtailwind
Facebook/Instagram ads function as the world's largest autonomous AI agent
Meta's ad system already operates as a fully autonomous agent: advertisers set target CAC, the system optimizes creative/targeting/delivery to hit that price, and margins expand as efficiency improves — a template for how AI agents will monetize across verticals.
9
Semiconductorstailwind
Thompson: TSMC's risk-off strategy creates structural compute shortage, forcing hyperscalers to fund Intel/Samsung foundry alternatives
TSMC optimizes for 30-year fab utilization, deliberately under-investing vs. peak demand. Risk transfers to customers as foregone revenue. This scarcity economically justifies the pain of qualifying Intel Foundry and Samsung Logic, creating a viable second source for the first time.
9
AI Infrastructureheadwind
TSMC monopoly creates structural AI chip shortage peaking ~2029
TSMC's rational capex restraint — driven by extreme fixed-cost leverage of fabs — means supply cannot elastically respond to AI demand surge; hyperscalers must now fund Intel/Samsung foundry alternatives as strategic insurance, creating multi-year investment cycle.