← Analysis page  ·  Ryan Tunis hub  ·  Research hub

Actionable insights — P&C Stocks Worth Owning: The AI Hedge

The repeatable analysis behind the picks: not what Tunis rates, but how he places the insurance pricing cycle, picks winners inside a soft market, and sizes up an AI-disruption scare — written so the process can be rerun on the next insurance cycle.
2026-SEP-07 · The Real Eisman Playbook, Ep 74 · Ryan Tunis — Cantor Fitzgerald · ▶ Watch · full analysis · transcript
How to read this page: each insight is a method — a cycle-placement test, a soft-market screen, a disruption check — with the boxed line showing how it played out in this interview and a "watch for" list for re-running it. Tunis is a sell-side analyst; ratings are Cantor's. Timestamps deep-link into the video.

17:43 1. Place the P&C pricing cycle — it runs on loss-cost inflation, not GDP

The repeatable method
  1. Remember the asymmetry: insurers know revenue (premium) up front but not cost of goods (claims) — margins erode when claims inflate faster than rates.
  2. Gauge the phase by rate direction: a hard market is when carriers "raise price at will"; normally 2–3 years in 10.
  3. Look for the first softening in "capacity" lines (large-ticket property) where capital alone wins business, then watch it leak into casualty.
  4. Judge duration from how long the hard market ran and how much over-earning built up.
Here: a seven-year hard market turned soft about a year ago, starting in large property and spreading to casualty (23:17); personal auto is in a once-in-a-generation soft market likely to last through end-2027 (13:58).
Watch for

13:18 2. Test for over-earning: rate taken vs rate needed

The repeatable method
  1. Compare cumulative rate increases with the loss-cost inflation they were meant to cover.
  2. If rate exceeded need, the group is over-earning — expect competitors who sat out to "pile back in to grow."
  3. Expect rate cuts and margin compression to continue until returns normalize — avoid the sub-group even when the best operator is in it.
Here: auto insurers took ~60% when ~40% was needed; everyone but Progressive stopped growing, and now all are chasing growth — so PGR is Neutral and personal lines are his most negative call ever.
Watch for

15:28 3. Check whether technology is shrinking the exposure base

The repeatable method
  1. Treat premium TAM as a count of exposure units (crashes, fires, claims), not a growth market.
  2. Track adoption of loss-preventing tech and the trend in claim frequency.
  3. If frequency falls structurally, the market can shrink even while share-takers look fine — discount "long-term share gain" theses.
Here: ADAS on ~40% of new vehicle sales (15% three or four years ago), sharp declines in collision frequency — "to a certain extent it's here… today."
Watch for

25:25 4. Early soft-market screen: distribution moat + reserve cushion

The repeatable method
  1. Favor carriers whose book is small/middle-market, sold through relationship-based agents — hard to "burn your way into."
  2. Avoid large-account, capacity-driven books that face the most competition.
  3. Rank survivors by reserve conservatism — redundant reserves absorb early rate pressure.
  4. Accept a moderate valuation premium for the best fit, but don't pay up indefinitely.
Here: TRV (middle-market, best reserves) recommended over CB (more large-account) — both ~12.5x, "a little bit too expensive."
Watch for

29:26 5. Later in the soft market, rotate to cheap self-help

The repeatable method
  1. Once the business-mix trade has played out (~a year in), look "out on the curve" for what hasn't worked.
  2. Require a valuation cushion (near book value) that compensates for a weak mix.
  3. Check that the earnings targets rest on non-cyclical levers — expense saves, reinsurance buying, simplification — and that new management has endorsed them.
Here: AIG — around book, wrong mix for a soft market, but a new CEO blessed 2027 targets built on expense and reinsurance synergies; ~11% ROE; pure-play P&C.
Watch for

38:15 6. Brokers: buy the organic-growth trough at last-cycle multiples

The repeatable method
  1. Track broker organic growth through the soft market; call the bottom when deceleration stops.
  2. Compare the trough level with the previous soft market's trough.
  3. If the trough is higher but multiples match last cycle's, the risk/reward favors the group.
Here: organic growth bottoming at 4–5% vs 3% last soft market, with the stocks at similar multiples — brokers his top sub-group (MMC, AON).
Watch for

38:40 7. Stress-test an AI-disintermediation scare against the plumbing

The repeatable method
  1. Ask whether the buyer would ever trust a single quote — multi-market price discovery is the broker's job.
  2. Check the incumbent's incentive: would the carrier gain enough (expense ratio) to alienate its distribution?
  3. Look at the service moment that matters (claims disputes) — who would the client want representing them?
  4. Isolate the genuinely exposed segment (here, HR/benefits consulting) and verify with results and guidance.
Here: brokers fell ~10% on an AI report and "nothing basically happened"; carriers run ~30% expense ratios shareholders accept (04:58); a third of claims are initially denied; consulting outlooks unchanged.
Watch for

45:26 8. For E&S specialists, model the soft-market flow-back

The repeatable method
  1. Recognize that non-admitted (E&S) volume swells in hard markets when standard carriers decline risks.
  2. In a soft market, retail brokers move business back to admitted carriers — worst in small accounts.
  3. Carriers that pay brokers less are most exposed; discount a low expense ratio that was built on thin commissions.
Here: KNSL — savvy underwriter, but small-business focus plus low broker pay and no soft-market history; more valuation questions than Travelers.
Watch for

Methods distilled from the public YouTube video "P&C Stocks Worth Owning: The AI Hedge with Ryan Tunis | The Real Eisman Playbook Episode 74." Not investment advice.