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🤖 SaaS gets replaced by MaaS — Models as a Service

Chamath's framing: enterprise software becomes single-purpose models that solve a function rather than seat-licensed applications, so 'you can name a bunch of SaaS companies that were purveyors of SaaS that will get replaced by essentially GPT-3 or some other language model' — expense management, forecasting and support first, incrementally. He calls this phase one, before multimodal models and the proprietary-data arms race. Bearish the application-layer SaaS complex, with the value migrating to whoever supplies the models.

0 CONVICTION
peaked 56.5 WATCH
EMBER
band · contested
▼ SHORT IGV
expression · bearish tech
WRONG
result · return -51.9% · vs SPY -68.6%
2023-12-03
born 2022-12-03 (E106) → window closed
⚠ CONFLICTING IDEAS ON THE SAME TICKER — the board is arguing with itself; net it out (ticker view →)
IGV · SaaSpocalypse is overdone for compliance-moat enterprise software LONG EMBER 24.0 ← stronger than this idea (19.8)
CRM · SaaSpocalypse is overdone for compliance-moat enterprise software LONG EMBER 24.0 ← stronger than this idea (19.8)

other ideas on the same ticker, same direction: Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars 48 (MSFT) · Frontier AI labs keep durable premium pricing (not commoditized) 38 (MSFT) · The $3-4T software industrial complex contracts in 2026 34 (IGV) · SaaSpocalypse is overdone for compliance-moat enterprise software 24 (MSFT) · ChatGPT takes Google search share and the market starts pricing the decay 21 (MSFT) · Independent frontier-model labs lose to hyperscaler capital 18 (MSFT)

⚖ Why this result

fully deterministic — computed from daily closes on the scoring date; nothing below is editable or hand-set

  1. Window: 2022-12-03 → 2023-12-03 — first mention + 12-month horizon, then the window locks.
  2. The call: ▼ SHORT IGV (primary play). IGV rose 51.9% over the window → return (sign flipped for a SHORT) = -51.9% (the call lost money).
  3. Benchmark: holding SPY over the same window returned +16.7% → vs SPY = -51.9 − (+16.7) = -68.6% — what this call made or lost against just owning the index. This is the number the result uses.
    Direction-only read: -35.1% — did IGV move the predicted way relative to the market. The two only differ on a SHORT: this call was right about direction relative to the index but still cost money versus holding it.
  4. Rule fired:
    · RIGHT — return ≥ +10% AND beat SPY by 5+
    · HALF — return ≥ +5% OR beat SPY at all
    ▶ WRONG — everything else
  5. Credit: supporters of a WRONG earn 0 each, opposers the opposite — this feeds the scoreboard. supported: Chamath, Friedberg | opposed: Sacks | proxy-sensitive: MSFT (long)→HIT (+51.0%)

Conviction timeline

bands: green ≥ 65 · watch ≥ 45 · ember ≥ 15

Plays vs SPY · % since first mention (2022-12-03)

Plays

expressionsymbolkindrelevancerationale
▼ SHORT IGVetf PRIMARY the application-software complex Chamath says gets substituted by models
▼ SHORT CRMstock adjacent largest pure-play seat-licensed SaaS vendor — the archetype of the 'purveyor of SaaS' being replaced
▲ LONG MSFTstock adjacent long side of the substitution: the listed model supplier that captures the spend

Mention log newest first

Sacks
Sacks tech 39% · n=53 · E137 (2023-07-14) · explicit_prediction · strength 2 ▶ 15:40 OPPOSE
“And not all those companies are losing money. A growing number of them are making money. I just think that's like a sweeping overgeneralization. So I still think software businesses are some of the best businesses.”
Chamath
Chamath tech 45% · n=84 · E137 (2023-07-14) · explicit_prediction · strength 2 ▶ 13:14 SUPPORT
“So the idea that software businesses generate long-term profits is so far unfortunately been a fallacy. So that chart, I think will stay exactly the same way it is. I think the bloom is off the road.”
Chamath
Chamath tech 45% · n=84 · E130 (2023-05-26) · explicit_prediction · strength 2 ▶ 1:10:35 SUPPORT
“So even if you set out a team and said, just copy exactly what Figma has, with a copilot enabling 50 engineers, that's like 500 engineers cranking on something, I would be surprised if they couldn't just replicate the product end-to-end.”
Sacks
Sacks tech 39% · n=53 · E125 (2023-04-21) · explicit_prediction · strength 2 ▶ 54:07 OPPOSE
“I think there's going to be SaaS software products that were just good before, but now will actually be great because the incorporation of APIs from, you know, AI foundation models will just turbocharge the capabilities.”
Chamath
Chamath tech 45% · n=84 · E124 (2023-04-14) · explicit_prediction · strength 3 ▶ 22:04 SUPPORT · horizon 12mo
“So I think it's just a matter of time until we start to cannibalize these extremely expensive, ossified large organizations that have relied on a very complicated go-to-market and sales and marketing motion. I don't think you need it anymore in a world of agents and auto GPTs. And I think that to me is quite interesting because A, it creates an obvious set of public company shorts.”
Friedberg
Friedberg tech 55% · n=66 · E124 (2023-04-14) · explicit_prediction · strength 3 ▶ 16:46 SUPPORT
“but it may be that you don't even need startups for a lot of the stuff anymore. You don't even need teams and you don't even need companies to generate and render software to do stuff for you anymore.”
Sacks
Sacks tech 39% · n=53 · E124 (2023-04-14) · explicit_prediction · strength 2 ▶ 16:06 OPPOSE
“And I think we're still a ways away from the, you know, human being completely out of the loop. I think right now, I see it mostly as a force for good, as opposed to something that's creating a ton of dislocation.”
Chamath
Chamath tech 45% · n=84 · E122 (2023-03-31) · sentiment · strength 2 ▶ 1:01:18 SUPPORT
“If you take a workflow management tool for things like design and imagery and you reduce it by an order of 90%, it's like what is that app experience worth?”
Sacks
Sacks tech 39% · n=53 · E115 (2023-02-11) · explicit_prediction · strength 3 ▶ 1:13:30 OPPOSE
“I also don't think that you're not going to need to hire engineers because Copilot is going to do it for you. I think what Copilot will do is make your typical engineer more productive. They had some graphs around how Copilot reduced coding time by 50%.”
Chamath
Chamath tech 45% · n=84 · E115 (2023-02-11) · explicit_prediction · strength 3 ▶ 1:08:57 SUPPORT
“Any middleman business right now that doesn't have its own competitive mode can be competed against because now you can take all of those input costs that go into human capital.”
Friedberg
Friedberg tech 55% · n=66 · E111 (2023-01-13) · explicit_prediction · strength 3 ▶ 55:40 SUPPORT
“fundamentally every business model can and will need to be rewritten that's dependent on the historical, on the legacy of kind of information retrieval as the core of what computing is used to do.”
Chamath
Chamath tech 45% · n=84 · E106 (2022-12-03) · explicit_prediction · strength 3 ▶ 1:21:26 SUPPORT
“The first is that I think we're going to replace SaaS with what I call MAS, which is Models as a Service. And so a lot of what software will be, particularly in the enterprise, will get replaced with a single-use model that allows you to solve a function. So these chat examples are one, and you can name a bunch of SaaS companies that were purveyors of SaaS that will get replaced by essentially GPT-3 or some other language model.”

Who built this conviction

each voice's total push on the score, in conviction points across every mention — supports and opposes · share = % of all mention-driven movement

Chamath
Chamath 45%
6 scoring events · 53% of moves
+90.8 → net +90.8
Sacks
Sacks 39%
4 scoring events · 29% of moves
+0.0 / -50.4 → net -50.4
Friedberg
Friedberg 55%
2 scoring events · 17% of moves
+29.9 → net +29.9

⏳ decay drained -50.5 over the idea's life — that's time passing, attributed to no one

Score events

episodekindΔafternote
E106 2022-12-03 init +42.0 42.0 E106 born by Chamath (explicit_prediction x3)
E107 2022-12-10 decay -1.7 40.3 E107 silent
E108 2022-12-16 decay -1.6 38.7 E108 silent
E109 2022-12-24 decay -1.5 37.2 E109 silent
E110 2023-01-06 decay -1.5 35.7 E110 silent
E111 2023-01-13 reinforce +17.4 53.0 E111 Friedberg support x3 (new voice)
E112 2023-01-20 decay -2.1 50.9 E112 silent
E113 2023-01-27 decay -2.0 48.9 E113 silent
E114 2023-02-04 decay -2.0 46.9 E114 silent
E115 2023-02-11 reinforce +9.6 56.5 E115 Chamath support x3
E115 2023-02-11 oppose -14.4 42.1 E115 Sacks opposes x3
E116 2023-02-17 decay -1.7 40.4 E116 silent
E118 2023-03-03 decay -1.6 38.8 E118 silent
E119 2023-03-11 decay -1.6 37.2 E119 silent
E120 2023-03-17 decay -1.5 35.7 E120 silent
E121 2023-03-24 decay -1.4 34.3 E121 silent
E122 2023-03-31 reinforce +9.9 44.2 E122 Chamath support x2
E123 2023-04-07 decay -1.8 42.4 E123 silent
E124 2023-04-14 oppose -12.0 30.4 E124 Sacks opposes x2
E124 2023-04-14 reinforce +12.5 42.9 E124 Friedberg support x3
E124 2023-04-14 reinforce +10.3 53.2 E124 Chamath support x3
E125 2023-04-21 oppose -12.0 41.2 E125 Sacks opposes x2
E126 2023-04-28 decay -1.6 39.6 E126 silent
E128 2023-05-12 decay -1.6 38.0 E128 silent
E129 2023-05-19 decay -1.5 36.5 E129 silent
E130 2023-05-26 reinforce +9.5 46.0 E130 Chamath support x2
E131 2023-06-02 decay -1.8 44.1 E131 silent
E132 2023-06-10 decay -1.8 42.4 E132 silent
E133 2023-06-16 decay -1.7 40.7 E133 silent
E134 2023-06-24 decay -1.6 39.1 E134 silent
E135 2023-07-01 decay -1.6 37.5 E135 silent
E136 2023-07-09 decay -1.5 36.0 E136 silent
E137 2023-07-14 reinforce +9.6 45.6 E137 Chamath support x2
E137 2023-07-14 oppose -12.0 33.6 E137 Sacks opposes x2
E139 2023-07-27 decay -1.3 32.3 E139 silent
E140 2023-08-04 decay -1.3 31.0 E140 silent
E141 2023-08-11 decay -1.2 29.7 E141 silent
E142 2023-08-18 decay -1.2 28.5 E142 silent
E143 2023-08-25 decay -1.1 27.4 E143 silent
E144 2023-09-01 decay -1.1 26.3 E144 silent
E146 2023-09-22 decay -1.1 25.2 E146 silent
E147 2023-09-29 decay -1.0 24.2 E147 silent
E148 2023-10-07 decay -1.0 23.3 E148 silent
E149 2023-10-13 decay -0.9 22.3 E149 silent
E150 2023-10-20 decay -0.9 21.4 E150 silent
E151 2023-10-27 decay -0.9 20.6 E151 silent
E152 2023-11-03 decay -0.8 19.8 E152 silent