“We spend 14,000 14,000 per capita per year on patients in the U.S. So that, that's like a rough spend. That's two to three, two and a half to three, like Germany and Canada spent as an example.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Matt Fitzpatrick
Opinion
Fitzpatrick: Belief that synthetic data replaces human feedback is wrong
“Look, I think the biggest one is just the view that synthetic data will take over, and you just will not need human feedback.”
Matt FitzpatrickDec 31, 2025▶ 0:39Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
AssertionNot checkable as stated
Fitzpatrick: External AI builds are twice as effective as internal builds
“You've seen Gartner saying 40% of enterprise projects will likely be canceled by 2027, and I think the reason for that is externally driven builds are two X as effective as internal team builds.”
Matt FitzpatrickDec 31, 2025▶ 0:04Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
PredictionNot checkable as stated
Fitzpatrick: Enterprise AI deployment will take a decade, not two years
“I think that whole process is in the first inning in the enterprise. I think it's going to take a decade, not two years.”
Matt FitzpatrickDec 31, 2025▶ 8:10Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
AssertionPartly supported
Fitzpatrick: Out-of-the-box AI agents achieve only 33% accuracy on multi-turn workflows
“Salesforce AI research released this report that if you take if you test a lot of the out of the box agents on single-term and multi-term workflows, they're about 58% accurate on single-term and 33% accurate on multi-term workflows, which means they don't real…”
Matt FitzpatrickDec 31, 2025▶ 16:32Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
PredictionNot checkable as stated
Fitzpatrick: Software industry will shift from standardized SaaS to hyper-personalized AI
“That is my view on where, where this whole industry goes, is you move from SaaS, out-of-the-box SaaS, to much more hyper-personalization using the specific data of an individual customer”
Matt FitzpatrickDec 31, 2025▶ 19:56Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
Insight
Fitzpatrick: Enterprise AI requiring workflow adaptation demands forward-deployed engineers
“If you're building something where the hardest part is getting adoption and workflow embedding, and you need to actually change the way a company works, then yes, forward deployed engineers are the only way to do it.”
Matt FitzpatrickDec 31, 2025▶ 24:17Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers · 20VC with Harry Stebbings
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