US Insurance Distribution Economics

Definition

The consolidated, source-anchored numbers behind the smb-insurance-portfolio-brokerage direction — compiled and web-verified Aug 1–7, 2026 (full linked source lists live in the external research-hub artifact, outputs/insurance-research-hub.html, sections “Money Flow” and “Distribution Funnel”). Figures marked ⚠ are derived estimates.

Key points

• **The premium dollar, split (US P&C, ~1.11T 2025 DWP; AM Best/S&P):** distribution takes ~12¢ off the top (retail brokers ~10¢ ≈ 110B/yr; MGA/wholesale layer ~2¢ ≈ $20–25B⚠);thecarriergrosses88¢,ofwhich65¢flowsbackoutasclaims(\approx$720B), ~7¢ LAE, ~13¢ carrier opex, ~3¢ underwriting profit + ~5¢ investment income → net ~8–10¢ in good years (2024’s ~$170B net income was an outlier). Money flows through carriers but sticks at distribution.
• The counts funnel — never mix these universes: ~2.1M licensed individuals (NAIC/NIPR; mostly non-practicing) → ~469K employed agents (BLS 2024) → ~459K registered “businesses” NAICS 524210 (IBISWorld; incl. solos and captive storefronts; $284B all-lines revenue) → ~120–145K employer firms → 39,000 independent P&C agencies (Big “I” AUS 2024) — the channel that routes 62% of all P&C and 87.7% of commercial premium. Counts collapse 50x; the money barely shrinks.
• Agency P&L (Reagan/Big “I” Best Practices 2025): compensation 55–58% of revenue, overhead 16–20%, EBITDA 26.1%; revenue/employee $228K(topfirms);medianagencyrevenue\approx$450–500K ⚠ (51.6% of agencies under $500K);revenue\approx 10–12$65–75B/yr agencies pay humans is the largest attackable cost pool in distribution — 14x the entire agency-software market (~$5B).** This is the quantitative base of ai-collapses-smb-brokerage-labor-cost.
• The AI-leverage asymmetry (the deepest broker-vs-carrier argument, base of broker-position-beats-carrier-capital-efficiency): in a broker’s P&L ~57% of revenue is attackable human process — AI can multiply margins (26% → 55–65% ⚠ thesis). In a carrier’s P&L only ~20¢/dollar is process (LAE + opex); the other ~65¢ IS the product — AI adds points, not multiples. Same AI, ~10x different leverage. (Risk-selection data plays — Root/Nirvana — can shave the 65¢, but need years to prove and one bad cohort to disprove.)
• Seat economics compared: carriers — $1.11Tflow,$90–170B profit pool, regulatory capital in the $10Ms+,1–2xbook/P/E10–15,2,600firms(NAIC).Brokers—$110–135B revenue pool ⚠, ~$25–35Bprofit⚠,$0 capital, ~11.6x EBITDA / 2.5–3.2x revenue (MarshBerry 2025–26), organic growth 9%→7.1% decelerating (Reagan). MGAs — ~$100B+premiumthrough(Conning),$20–25B revenue ⚠, growing ~2x market, 19.4x EBITDA — the industry’s premium multiple, earned with data not capital.
• Commission mechanics: commercial 10–20% (WC 5–10%), renewals ~10–12%, paid every year at ~90% realized retention — the annuity. BoR-flip fine print (stress-test research, Aug 1): 5–10-business-day incumbent rescission window (survives signed waivers), no mid-term commission transfer (Chubb: old broker keeps the full year), no flip where unappointed; direct appointments require ~$100–250K annual premium per carrier; incumbents save >90% of contested accounts. Flips are a 60–90-day pre-renewal campaign, not a rail.
• Cycle timing: CIAB Q1 2026 printed −1.2% — the first commercial rate decline in 33 quarters. Soft market shrinks per-account commissions and lets incumbents match remarketed quotes — but also squeezes thin human agencies hardest, feeding consolidation (BroadStreet 69 / HUB 49 / Inszone 45 acquisitions in 2025 ⚠).
• Structure notes that break common priors: personal lines premium overtook commercial in 2024 ($535Bvs$502B, S&P/NAIC); MarshBerry advises agencies not to remarket accounts with <15% renewal increases and to push sub-$5Kaccountstocarrierservicecenters($40–70/yr) — small-account neglect is a strategy, not a failure.

Evidence

• 2026-08-16-directions-broker-jobs-to-be-done-map — renewal-prep job discussion reaffirms these figures directionally (85–95% retention, 10–12% renewal commission) as the annuity economics behind the 90-day-out renewal cycle.
• 2026-08-10-directions-huri-pitch-deck-build — the numbers stress-tested into slide form: $1.1T\times 12$132B broker pool, ~$21BMGAslice,75$99B) labor+operations vs ~$33Bprofit;the$116B “carrier profit” reconciled with timor-arbel-sadras’s 3–5% margin claim as ~3% operating + the rest investment income; Guy’s note that life & annuity roughly doubles industry revenue beyond P&C.
• Web-verified Aug 1–7, 2026: S&P Global MI ($1T 2024 milestone; 2024 net income; commercial/personal split), AM Best via Carrier Management (2025 DWP), Big “I” AUS 2024 + 2026 Market Share Report (39K agencies; 62%/87.7%), BLS OES May 2024, NAIC/NIPR licensing, IBISWorld NAICS 524210, Reagan/Big “I” Best Practices 2025 + Reagan OGP quarterlies, MarshBerry 2025–26 valuation update + account-threshold guidance, Conning MGA reports, CIAB Q1 2026 Market Index, Agentero/industry commission references, Chubb BoR guidelines + NY DFS OGC 06-01-11 + State Fund CA (BoR mechanics). Clickable source lists with per-figure citations: research-hub artifact (outside the bundle).
• No raw source in this repo yet; ⚠ marks derived figures. Flagged data holes: premium split by account-size band, US small-commercial switching rates, and audit→BoR conversion have no public datasets anywhere.

Open questions

• Harden the two weakest anchors before external use: MGA revenue pool (Conning report direct) and the 2025 roll-up acquisition counts.
• Does the soft market accelerate or kill the wedge? (Cheaper premiums = weaker savings pitch, but distressed agencies = softer incumbents.)

Related

• smb-insurance-portfolio-brokerage — the direction these numbers anchor.
• ai-brokerage-tam-model — the TAM math built on these numbers.
• ai-collapses-smb-brokerage-labor-cost · broker-position-beats-carrier-capital-efficiency — the hypotheses these numbers quantify.
• smb-insurance-competitive-landscape · 2026-08-03-enter-insurance-via-brokerage-mga-not-carrier