Claim◆Audio · 7:01 — 7:38
Analytical SaaS — companies that collect and analyze data for you — is dead, because AI models can run against that data directly without needing a separate analytics layer.
Arora declares that analytical SaaS is over: if a SaaS product's value is collecting and analyzing your data for you, you no longer need it because you can run language models against that data yourself. ✦ AI generated
Nikesh Arora · All-In Podcast · 2026-06-08 · original ↗
plays this moment only · 7:01 — 7:38
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“Do you think that the traditional companies, like the SaaS businesses that have existed in this world, what is their place? As all this knowledge becomes more persistent and stored, what happens to SaaS?”
SAS is different pieces, right? If you're an analytical SAS company, it's over. Somebody that says, I'm going to collect a lot of data for you and analyze it for you. I don't need you to analyze it for me. I can run models against data and analyze them myself.
verbatim transcript · starts at 7:01
- ·AI models can analyze data directly
- ·No need for a middleman analytics layer
- ·Collect-and-analyze SaaS is obsolete
Around this claim
Evidence · 4
The Medallia failure is a sign of a broader SaaS debt bomb: agents are now so good and cheap that enterprises can spin up internal alternatives to vertical SaaS, crushing net new sales and making previously predictable cash flows unpredictable.Jason · All-In Podcast · conf 90%SaaS companies are suffering because AI agents have become so good, fast, and cheap that enterprises can spin up internal alternatives to vertical SaaS products, crushing new sales and making debt-financed SaaS buyouts increasingly risky due to unpredictable cash flows.David Friedberg · All-In Podcast · conf 85%SaaS companies are collapsing because AI agents let enterprises spin up internal alternatives to vertical SaaS products for free, destroying the net new sales engine and predictable cash flows that the entire private equity debt model depends on.David Sacks · All-In Podcast · conf 80%The collapse of leveraged SaaS companies like Medallia is driven by AI agents enabling enterprises to spin up internal alternatives to vertical SaaS, crushing net new sales and making cash flows unpredictable.Chamath Palihapitiya · All-In Podcast · conf 75%
This moment responds to
gives example → We canceled our $600,000-a-year Salesforce contract because we built our own internal, vibe-coded CRM that manages our process better and is more integrated with our agent workflows, and it only took two months to build.Fred Turner · 20VCgives example → As AI coding tools make bespoke software cheap to build, companies are starting to replace off-the-shelf SaaS tools with custom internal applications; one company saved over a million dollars a year by replacing more than ten bespoke internal tools built on Lovable.Anton Osika · All-In Podcastextends → Models will become a utility layer where you buy intelligence on the fly at different IQ levels and price points, and the profit pools will be in applications, not in the models themselves.Nikesh Arora · All-In Podcastextends → Enterprise software UI is the worst thing technologists built — with agents, UI goes away and systems of work get reinvented over the next five years.Nikesh Arora · All-In Podcast