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Klarna CEO: SaaS is Dead: Why Systems of Record Will Die in an Agentic World

Sebastian Siemiatkowski is the co-founder and CEO of Klarna, the global digital bank with over 114 million global active users and 3.4 million transactions per day. Seb is one of the leading public company CEOs pushing the boundaries of AI. ----------------------------------------------- Timestamps: 00:00 Intro 01:16 The real Threat to SaaS 05:58 What revenue multiple will software companies trade at in the future? 10:31 Why you need to build your own customer service AI to win 22:12 Klarna has two times the customer base of Revolut. They will beat Revolut 24:17 How I lost a billion dollars not investing in Nubank 25:54 Why Nubank are more likely to win the US than Revolut? 33:59 We used to be 6,000 people. Now we are just 3,000 40:14 When is a high valuation too high and can be dangerous? 41:27 How we got Sequoia to invest & Michael Moritz to join the board 53:19 Investors who don’t build will lose 01:07:56 What CEOs really think about AI 01:13:34 I have changed my mind on the adoption cycle ----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on X: https://twitter.com/HarryStebbings Follow Sebastian Siemiatkowski on X: https://twitter.com/klarnaseb Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ----------------------------------------------- #20vc #harrystebbings #sebastiansiemiatkowski #ceo #klarna #ai #saas

Sebastian SiemiatkowskiguestHarry Stebbingshost
Feb 15, 20261h 29mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Klarna CEO on AI reshaping SaaS, banks, and workforces

  1. Siemiatkowski’s core claim is that software creation is trending toward near-zero cost, and the next major disruption is AI dramatically reducing data migration friction—breaking the lock-in that underpins many SaaS businesses.
  2. He predicts SaaS “systems of record” are threatened not because enterprises will hand-roll everything, but because agents will make switching and re-composition of tooling far easier, pushing software toward modular “Lego blocks” and broader, bundled “company-in-a-box” experiences.
  3. Klarna is executing an AI-first operating model: consolidating context across the stack, building key AI capabilities in-house (notably customer support), and shrinking headcount roughly 50% largely via attrition while increasing pay per employee.
  4. Strategically, he frames Klarna’s long-term mission (since 2015) as becoming a digital financial assistant and retail-bank-like platform, leveraging proprietary purchase/receipt-level data and US scale to compete more with incumbent banks than with other fintechs.

IDEAS WORTH REMEMBERING

5 ideas

The real SaaS threat is falling data switching costs, not just cheaper code.

He argues AI will soon enable “one-click” migration of data locked in CRMs/ERPs by mapping vendor-specific data models and moving processes automatically, removing a core moat of SaaS: lock-in.

SaaS may re-rate toward utility-like multiples in an agentic world.

If switching becomes easy and differentiation erodes, he expects price-to-sales multiples could drift from ~5–10 toward ~1–2 (utility territory), though he views extreme collapses (e.g., Chegg-like) as not the base case for major incumbents.

“Systems of record” will be rebuilt as AI-first operating systems, not just layered with copilots.

Klarna reduced SaaS usage because siloed tools degrade AI performance; consolidating context and mixing deterministic software with probabilistic AI enables an “operating system of the bank” optimized for agents.

Large tech-led companies will often need to build customer support AI in-house.

For Klarna, support quality ultimately requires reading source code and reflecting “truth” versus stale docs; that deep coupling turns customer support AI into part of the core stack, making off-the-shelf tools insufficient at the frontier.

AI customer service first removes simple work; premium human service becomes a designed product.

Early gains came from handling basic queries (e.g., payment status), but he believes future differentiation includes a “VIP” human layer—while acknowledging it requires new models and incentives to make humans consistently excellent.

WORDS WORTH SAVING

5 quotes

Software—cost of creating software is going down to zero.

— Sebastian Siemiatkowski

The next thing that’s gonna hit everyone bad is the switching cost of data.

— Sebastian Siemiatkowski

We need to provide our AI the best context… if your data is separated in these silos… it’s just harder to provide the appropriate context.

— Sebastian Siemiatkowski

We’ve gone from seven thousand people… now below three thousand… and I didn’t ask for a single dime to do all this.

— Sebastian Siemiatkowski

AI is a compression technology.

— Sebastian Siemiatkowski

AI drives software creation costs toward zeroAgentic data migration and collapsing SaaS switching costsSaaS valuation multiple compression (software vs utilities)AI-native stack vs siloed SaaS contextBuild-vs-buy for AI customer serviceWorkforce reduction via attrition and productivity gainsKlarna’s strategy: BNPL to high-engagement banking and US expansion

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