Sacks

Sacks

bestie · 365 ideas engaged · 227 episodes · E2 → E296
ChamathJasonFriedbergAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskGavin BakerJoe LonsdaleKeith RaboisRyan PetersenThomas LaffontTravis Kalanick
0.47
credit over 327 calls how this is scored
127/54/146
right / half / wrong
0.49
credit on green-grade calls · n=141 what this is
vs SPY -14% 57/24/60
-16%
avg vs SPY on scored calls
31
live positions
+8549
lifetime conviction force · 107 ideas born
2.21
avg strength · 225 dissents

Does his own confidence mean anything?

the same scored calls, split by how hard he was pushing at the mention that set his final stance. If credit rises with strength, his table-pounding carries information and you should weight it. If it's flat or inverted, his confidence is noise — treat a ×3 like a ×1. Cells under 5 calls are provisional and get no weight in the replay.

he wascallscreditright/half/wrongavg vs SPYread
×3 table-pounding 88 0.41 34/4/50 -21% worse than coin flip
×2 stated with reasoning 211 0.5 83/43/85 -13% coin flip
×1 offhand aside 28 0.48 10/7/11 -17% coin flip

Which kind of claim to trust

by the tier of the mention that set his final stance — a dated prediction is a different animal from a passing lean, and they don't have to score alike

tiercallscreditright/half/wrongavg vs SPY
annual_prediction 2 0.5 prov. 1/0/1 +17%
explicit_prediction 182 0.45 69/26/87 -20%
positioning 10 0.3 3/0/7 -52%
sentiment 133 0.51 54/28/51 -8%

What he's actually good at

his row of the scoreboard — these are his scored record by category, unlocked at n ≥ 5 resolved calls. Track record only — it does not weight his mentions or move any conviction.

🛢️ commodities n=4
0.62 provisional 2/1/1
🪙 crypto n=18
0.58 provisional 10/1/7
🌍 macro n=40
0.56 provisional 20/5/15
🏦 rates n=13
0.5 provisional 4/5/4
🏛️ politics-market n=87
0.48 provisional 32/19/36
⚡ energy n=16
0.47 provisional 5/5/6
📈 equities n=96
0.44 provisional 36/13/47
🤖 tech n=53
0.39 provisional 18/5/30

Live book — 31 positions

his latest stance on every ACTIVE idea. Expression = what he is effectively long or short: supporting a bearish idea is a SHORT, opposing one is a LONG.

ideahis stanceexpressionconvictionflageval in
🤖 Enterprise AI sovereignty: workloads leave frontier APIs for private stacks support ×3 ▲ LONG NBIS 93.5 NOT MOVED YET 308d
📈 SpaceX post-IPO: multiple ways to win from $1.4T support ×2 ▲ LONG SPCX 91.2 NOT MOVED YET 955d
🤖 AI compute capex supercycle has 12-24 months of runway POD DISAGREES oppose ×2 ▼ SHORT NVDA 86.5 NOT MOVED YET 288d
🏦 US fiscal spiral keeps long-end yields grinding higher POD DISAGREES oppose ×1 ▲ LONG TLT 84.8 MOVING 463d
📈 AI cyber: the one-time hardening upgrade cycle support ×2 ▲ LONG PANW 77.9 RUNNING 175d
📈 It's 1997-98, not 1999 — the melt-up has years left POD DISAGREES support ×2 ▲ LONG QQQ 75.6 NOT MOVED YET 1032d
🌍 The 2026 US boom — 5-6% GDP prints support ×1 ▲ LONG RSP 64.8 NOT MOVED YET 64d
🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T POD DISAGREES support ×3 ▲ LONG GOOGL 61.3 NOT MOVED YET 119d
🤖 Meta becomes America's open-source AI champion POD DISAGREES support ×2 ▲ LONG META 55.4 RUNNING 280d
🏛️ US data-center freeze pushes the next AI buildout offshore; the US becomes a net token importer support ×2 ▼ SHORT FIX 55.0 — 731d
🤖 Personal AI agents put the App Store's 30% take and opaque subscription/retail economics on notice POD DISAGREES support ×1 ▼ SHORT AAPL 49.3 NOT MOVED YET 323d
⚡ Natural gas powers the AI datacenter buildout support ×2 ▲ LONG GEV 47.9 RUNNING 330d
📈 2026 is the year of mega-IPOs POD DISAGREES support ×2 ▲ LONG IPO 42.9 — 64d
📈 Nike's $200B collapse is structural, not cyclical POD DISAGREES support ×3 ▼ SHORT NKE 40.0 — 308d
🛢️ Hydrocarbons melt: oil sees $45 before $65 support ×2 ▼ SHORT USO 39.5 — 64d
🤖 Frontier AI labs keep durable premium pricing (not commoditized) POD DISAGREES support ×2 ▲ LONG MSFT 37.7 — 119d
🤖 Neoclouds are a transitory GPU arbitrage, not a durable business POD DISAGREES oppose ×3 ▲ LONG NBIS 34.3 — 121d
🤖 The $3-4T software industrial complex contracts in 2026 POD DISAGREES oppose ×2 ▲ LONG IGV 34.3 — 64d
🏛️ The AI doomer campaign fails — no FDAI, open source survives POD DISAGREES reversal ×3 ▼ SHORT NVDA 30.5 NOT MOVED YET 308d
🏦 State-government financing stress surfaces in 2026 support ×2 ▼ SHORT MUB 28.4 — 64d
📈 SaaSpocalypse is overdone for compliance-moat enterprise software POD DISAGREES support ×3 ▲ LONG IGV 24.0 NOT MOVED YET 274d
🤖 Personal AI agents: Google's data moat wins the form factor POD DISAGREES support ×2 ▲ LONG GOOGL 22.9 — 84d
🤖 ChatGPT takes Google search share and the market starts pricing the decay POD DISAGREES oppose ×2 ▲ LONG GOOGL 21.2 — 183d
🤖 Independent frontier-model labs lose to hyperscaler capital POD DISAGREES reversal ×2 ▼ SHORT MSFT 18.3 — 52d
🤖 Palantir's premium is justified — the short loses support ×1 ▲ LONG PLTR 13.8 — 7d
🌍 China's automated manufacturing base outruns US reindustrialization POD DISAGREES oppose ×1 ▼ SHORT ROBO 13.4 — 135d
📈 Brands go to zero — pricing power erodes POD DISAGREES oppose ×2 ▲ LONG LVMUY 7.9 — 140d
🏛️ Narrow Section 230 carve-out unleashes a tort wave on social platforms POD DISAGREES oppose ×3 ▲ LONG META 3.0 — 87d
🤖 Nvidia risk: special-purpose silicon + Huawei POD DISAGREES support ×1 ▼ SHORT NVDA 1.9 — 380d
🏛️ DOGE delivers real federal spending cuts under unified Republican control POD DISAGREES oppose ×2 ▲ LONG BAH 0.0 — 1d
🏛️ The anti-data-center backlash peaks and reverses post-midterms POD DISAGREES reversal ×3 ▼ SHORT DLR 0.0 NOT MOVED YET 301d

Where his book points

net push per primary instrument across his live stances — conviction × his agreement × the idea's direction. This is his implied book, not a position he disclosed.

NBIS
+127.9 long
NVDA
-119.0 short
GOOGL
+105.4 long
SPCX
+91.2 long
TLT
+84.8 long
PANW
+77.9 long
QQQ
+75.6 long
RSP
+64.8 long
META
+58.4 long
IGV
+58.3 long

Where he's out on a limb

the differentiated part of his book — nobody else has taken a regular stance, or the rest of the table is on the other side. High information either way: these are the calls that make his record, and the ones with no cross-voice check on them.

VS THE TABLE 🤖 AI compute capex supercycle has 12-24 months of runway 86 he opposes; all 5 other regular voices disagree
VS THE TABLE 🤖 The $3-4T software industrial complex contracts in 2026 34 he opposes; all 4 other regular voices disagree
VS THE TABLE 🌍 China's automated manufacturing base outruns US reindustrialization 13 he opposes; all 3 other regular voices disagree

Best and worst calls

How he argues

STANCE MIX
support 943
oppose 210
reversal 15
brush_off 6
TIER MIX
explicit_prediction 691
sentiment 444
positioning 27
annual_prediction 12
REVERSALS — he argued the opposite of his own earlier position
E187 Biden stays the nominee - there is no mechanism to remove him
E199 Big-tech antitrust survives a Trump-Vance administration
E204 Federal agencies run a coordinated regulatory campaign against Elon's companies
E295 Independent frontier-model labs lose to hyperscaler capital
E296 The AI doomer campaign fails — no FDAI, open source survives
E296 The anti-data-center backlash peaks and reverses post-midterms

Latest from him

support ×1 sentiment 🌍 The 2026 US boom — 5-6% GDP prints POLICY-ADJACENT E296 · 2026-11-07 ▶ 6:07
Then the second thing is that the economy is not that bad. I mean, in fact, it's quite good. Just today, we had a new jobs report. It was a very robust jobs report.
support ×2 explicit_prediction 🛢️ Hydrocarbons melt: oil sees $45 before $65 POLICY-ADJACENT E296 · 2026-11-07 ▶ 35:50
The price of Brent crude will drop precipitously. On the day of the election, the price of Brent crude dropped 10%. Is that because something changed in the straight-of-the-move? No. It's because the market started to price in the mere possibility that the war would end sooner. We got a 10% cut in the price of Brent crude. It will go from, it's been as high as 117, it'll go from 110 to 70
reversal ×3 explicit_prediction 🏛️ The AI doomer campaign fails — no FDAI, open source survives POLICY-ADJACENT E296 · 2026-11-07 ▶ 1:07:42
I believe that Democrats want to create a surveillance and censorship state that's turbocharged by super intelligence. I mean, that's ultimately the end state. How do you get there? You create a department, a federal department of AI. You require that all the so-called frontier models have to be reviewed and approved by that.
support ×2 sentiment 🤖 Frontier AI labs keep durable premium pricing (not commoditized) POLICY-ADJACENT E296 · 2026-11-07 ▶ 1:10:08
What's going to get legislated is the quid pro quo. The quid pro quo is this. The government gets more power, and the duopoly of closed model companies get more regulatory capture or moats around their business. That's going to be the quid pro quo.
reversal ×3 explicit_prediction 🏛️ The anti-data-center backlash peaks and reverses post-midterms POLICY-ADJACENT E296 · 2026-11-07 ▶ 1:15:50
My base case is that the projects that are fully permitted will get done in 2027, but I don't think there's going to be major new projects in this new regime for a long time for the simple reason that there's no political incentive for anyone to grant a new permit or a new project.
oppose ×2 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway POLICY-ADJACENT E296 · 2026-11-07 ▶ 1:22:53
But I think by 2028, I would expect that the pipeline will either be closed or significantly reduced and that will have a big economic impact.
support ×2 sentiment 🏛️ US data-center freeze pushes the next AI buildout offshore; the US becomes a net token importer POLICY-ADJACENT E296 · 2026-11-07 ▶ 1:29:29
J Cal, you're right that if the US doesn't build the data centers, they'll get built in other countries and we'll be paying to import the tokens.
support ×3 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) POLICY-ADJACENT E295 · 2026-10-30 ▶ 5:52
And I think it is a little bit of a refutation to all the people who have been saying over the past year that they're getting commoditized away, that open models are basically are putting them on a hamster wheel where they're basically going to zero on gross margin, or that it's a business that only works because it's heavily subsidized by venture capital. In fact, I think there's a lot of reasons to believe that Anthropic has a pretty big lead. And if you believe that recursive self-improvement has kicked in, as they are claiming it has, then their lead could actually grow.
support ×3 explicit_prediction 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T POLICY-ADJACENT E295 · 2026-10-30 ▶ 5:52
It could very well be. I mean, I think this is probably going to be the biggest venture outcome of all time, especially given the time in which this was created. I mean, this is only a six-year-old company.
support ×2 sentiment 📈 It's 1997-98, not 1999 — the melt-up has years left POLICY-ADJACENT E295 · 2026-10-30 ▶ 5:52
So number one is that this $80 billion loss number that we've heard so much about, that the media has constantly been pumping and harping on as proof that Anthropic was either a fake business or that we were in this sort of whole bubble. That narrative basically just got completely refuted because it turns out that $80 billion loss is a phantom number.
support ×2 explicit_prediction 📈 2026 is the year of mega-IPOs POLICY-ADJACENT E295 · 2026-10-30 ▶ 5:52
I think the exit here is going to be on par with SpaceX's IPO, but SpaceX has been around for like 20-something years. So this is probably the fastest value creation of any venture-backed company in history.
oppose ×1 sentiment 🏛️ The anti-data-center backlash peaks and reverses post-midterms POLICY-ADJACENT E295 · 2026-10-30 ▶ 22:39
But I tend to think that Chamath is right, that Democrats want to do anything they can to sabotage the Trump economy.
reversal ×2 sentiment 🤖 Independent frontier-model labs lose to hyperscaler capital POLICY-ADJACENT E295 · 2026-10-30 ▶ 31:19
So you add it all up, and this is a company with over 300 billion of dry powder or it will soon have that. So then you've got all these Anthropic bears who are saying they've made all these CapEx commitments in the future, that they're never going to be able to live up to. Actually, this secures those commitments because they've got the capital now to basically back up all of those compute orders, all the forecasts of CapEx spending till, I don't know, 2030
support ×3 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway POLICY-ADJACENT E295 · 2026-10-30 ▶ 56:19
And the net result is that the total demand just keeps going up. And the total revenue and market size keeps growing. Also, just to reiterate a point that you made earlier in the program, the new applications that are coming all consume a lot more tokens than the ones that we started with, right? Like agents use a lot more tokens than prompting.
support ×2 sentiment 📈 AI cyber: the one-time hardening upgrade cycle POLICY-ADJACENT E295 · 2026-10-30 ▶ 56:19
And cyber defense is going to use a lot more tokens than just doing a pen test once a year, right? You're going to need continuous monitoring of agents, attack surfaces, all that kind of thing.