Palantir booked $1.94 billion of revenue in the second quarter of 2026, up 93% from roughly $1 billion a year earlier, on net income of $1.07 billion (CNBC, August 2026).
US commercial revenue grew 149% to $764 million. Among the payers funding that growth are the insurance carriers that have rebuilt their underwriting stacks on Palantir's Artificial Intelligence Platform, and the relevant question for them is no longer whether it works.
Key Takeaways
- $1.94 billion of revenue, up 93%, on $1.07 billion of net income, with US commercial revenue up 149% to $764 million and full-year guidance raised to between $8.15 billion and $8.16 billion.
- $6.24 billion of remaining US commercial deal value, more than double a year ago. That is signed commitment rather than forecast, and carriers sit inside it.
- A 40% binding lift across eight lines is the figure AIG attached to its Palantir-based underwriting assistant. It is a production statistic, not a profitability one.
- A 30% renewal escalation on a $60 million platform relationship moves a $10 billion-premium carrier's combined ratio by roughly two tenths of a point, before any growth in metered usage.
- Agentic architectures meter by usage, not by seat. A carrier tripling agent-run volume because the tools work has tripled the billed base before escalation applies.
The Quarter, and the Backlog Underneath It
The government business is still expanding at a pace most software companies would headline: US government revenue rose 90% year over year to $809 million. The quarter's story sits on the other side of the ledger. US commercial revenue of $764 million grew 149%, and on a compounded basis has risen 380% since 2024.
Management now expects US commercial revenue above $3.42 billion for 2026, raised from $3.22 billion. Adjusted earnings per share came in at 41 cents against the 35 cents analysts expected, and the year-ago comparison of roughly $329 million of net income at 13 cents makes the $1.07 billion print a more than threefold increase in profit in four quarters. Shares rose 12% on the release, recovering part of a 29% year-to-date decline.
Chief executive Alex Karp told CNBC that "no businesses at our scale has even grown half this much," adding that the trajectory "looks like this is going to go on for at least another 18 months."
One figure deserves more actuarial attention than it will get from equity analysts. Remaining US commercial deal value, the contracted work signed but not yet delivered or recognized, more than doubled to $6.24 billion. That is not a forecast. It is a stack of signed commitments from enterprises, insurers among them, that have agreed to keep paying.
What the Platform Costs a Carrier at Renewal
Palantir does not disclose an insurance vertical, so carrier exposure has to be read from public deployments. The clearest is AIG, whose chief executive Peter Zaffino has described a multi-agentic underwriting build on Palantir infrastructure and told investors AI is advancing faster than the company expected (Reinsurance News, 2026).
That build spans at least three layers: Foundry deployed into AIG's Lloyd's syndicate operations to run LLM agents against submission data, the AIG Assist underwriting assistant credited with a 40% binding lift across eight lines in the first quarter, and an orchestration layer coordinating agent workflows (AI News, 2026). AIG closed the first quarter with $774 million of General Insurance underwriting income and an 87.3% combined ratio, improved from 95.8%.
Each deployment is justified by the operating results of the previous one, which is also how the dependency deepens. Raised guidance implies roughly 82% revenue growth for 2026, and growth at that rate comes from new customers, expanded scope and price. The first two dominate today. A vendor that has become operationally load-bearing, whose chief executive is publicly forecasting 18 more months of comparable growth, holds pricing leverage it has not yet fully exercised.
Carriers have seen this arc elsewhere in the stack. Core policy administration vendors, catastrophe model licensors and data providers all moved from an adoption phase priced to win the market to a harvest phase priced to the switching cost. By then the switching cost is not the license fee. It is the migration risk of moving underwriting workflows, model pipelines and years of configured logic off a platform the front line depends on daily.
The expense arithmetic is direct. A carrier writing $10 billion of net earned premium at a 26% expense ratio carries $2.6 billion of expense; a $60 million platform relationship is about 0.6 points of that ratio, and a 30% renewal escalation moves the combined ratio by roughly two tenths of a point. Survivable on its own.
What changes the shape is the consumption model. Agentic architectures meter by usage rather than by seat: every submission triaged, every document parsed, every workflow invoked draws billed compute. A carrier growing agent-run volume 3x because the tools work well has tripled the metered base before any rate escalation applies. Reinsurance buyers would recognize the structure as a variable-rated treaty whose exposure base grows with the cedant's own success, negotiated without a broker and benchmarked against nothing.
A Binding Lift Is Not a Loss Ratio
The showcase number carries a second problem, and it applies to every carrier that will point at operating results to justify platform spend. A 40% lift in binding across eight lines is a production statistic. It measures throughput, not adequacy.
Binding more of what underwriters see changes the mix of the book. If the assistant lets underwriters clear more submissions per day, the marginal risks bound are ones that previously fell out of the queue for want of capacity. Whether those marginal risks priced adequately will not be visible in a combined ratio for several development years on the casualty side, which is precisely where a queue-clearing tool adds the most volume.
Separating the two requires tracking loss emergence on business bound through the assisted workflow against business bound conventionally, controlling for line, segment and vintage, and letting the cohorts season. Until that runs, an improvement attributed to the platform and an improvement coincident with it are indistinguishable in the reported number, and the attribution feeds straight back into the next renewal negotiation.
The concentration compounds it. The NAIC's model bulletin on insurer use of artificial intelligence, adopted by more than 20 jurisdictions as of mid-2026 (NAIC, 2026), reaches third-party systems explicitly: insurers are expected to govern models they buy, including vendor due diligence, validation access and contractual audit rights.
A carrier whose underwriting decisions flow through agent workflows on a single external platform has concentrated operational continuity, model risk and pricing power with one counterparty. The three are usually treated as separate exposures owned by separate functions, which is what makes a $6.24 billion backlog of multi-year commitments harder to read as a single position than it is.
Further Reading
- AIG Deploys LLM Agents at Lloyd's via Palantir Foundry – the first layer of the dependence this article prices.
- AIG's agentic underwriting machine – how the orchestration layer fits together.
- AIG Assist's 40% binding lift in Q1 2026 – the operating result that justifies each expansion.
- Vendor-patented AI governance controls and the build-vs-buy decision – the governance framework this quarter stress-tests.
- Multi-agent orchestration as the carrier AI playbook – the architecture pattern driving platform lock-in.
- Verisk Q2 and the claims-side consumption model – the same metered-AI economics at the data layer.