MGA profit pool
The MGA broker profit pool: $84B intermediary market mapped by AI exposure
Every dollar of commission and managing fee in the US insurance intermediary market runs through one of 12 workflows. Some compress under AI. Some accelerate. A few disappear. This map shows which is which, and where the margin migrates.
$30.8B of the $84B pool sits in workflows AI compresses first.
How to read the MGA profit pool
Bar width is revenue share: the portion of the $84B pool that flows through each activity. Bar height is operating margin compressibility: the fraction of that activity's revenue AI can eliminate within three to five years. Color signals displacement type: red for displaced (AI replaces human labor), amber for compressed (AI reduces headcount but doesn't eliminate the function), green for accelerated (AI expands what's possible).
Three views show the same data differently. Mosaic reveals concentration, where revenue clusters and where it thins. Map traces player relationships, which firms control each workflow and what their margin looks like. Table ranks activities by total AI-compressible dollars, the clearest signal of where to sequence the rebuild.
The activities with the widest bars and the tallest heights are where the margin moves first.
The $84B MGA profit pool: mosaic view
$30.8B sits in workflows AI compresses first. Each column is an activity: width is revenue share, height is operating margin compressibility. Click any bar to explore that workflow.
Where concentration sits
Underwriting authority and risk selection ($5.3B) and submission intake ($4.1B) account for more than 30% of the total AI-compressible pool between them. Both run on document-heavy, pattern-matching workflows. Both are well inside what production AI deployments handle today.
The next tier, delegated claims ($3.4B), portfolio analytics ($2.3B), policy operations ($2.8B), adds another third. These five activities alone cover $17.9B of the $30.8B compressible pool.
Sequence by compressibility. The first three activities you automate fund the next five.
Margin density by activity: map view
Same $84B pool, one color per activity. Hover any region to isolate it. Click to navigate to that workflow.
Who controls each workflow
MGA underwriters own the two highest-value activities. Wholesale brokers control market access. MGA claims staff hold the delegated claims layer. Portfolio analytics sits with actuaries and data scientists. The intermediary margin is not distributed evenly. It concentrates where specialist judgment is hardest to replicate.
AI compresses the document-extraction and data-normalization tasks that surround specialist judgment. It does not replace the judgment. The MGA that automates the surrounding labor frees its specialists to underwrite more risk with the same headcount.
The moat is judgment. AI compresses everything that isn't judgment.
AI-compressible dollars, ranked
$30.8B total, ranked by compressible dollars. The top row is the clearest automation target.
| Activity | Revenue share | Margin | Profit ($B) | AI impact | Players |
|---|---|---|---|---|---|
| Submission intake & triage | 7.0% | 70.0% | $4.1 | high | MGA underwriting admins (60%)BPO intake operations (25%)Submission AI (Indico, FurtherAI, Roots.AI) (15%) |
| Underwriting authority & risk selection | 18.0% | 35.0% | $5.3 | low | MGA underwriters (70%)Data enrichment (Verisk, LexisNexis, D&B) (20%)AI underwriting (Groundspeed, Relativity6, Planck) (10%) |
| Loss run & risk data analysis | 5.0% | 60.0% | $2.5 | high | MGA actuaries & analysts (65%)Data platforms (Verisk Analytics, NCCI) (25%)Loss run AI (Groundspeed, Acord Forms) (10%) |
| Policy issuance & coverage checking | 6.0% | 55.0% | $2.8 | high | MGA & broker policy ops labor (55%)Agency management systems (Applied Epic, Vertafore) (35%)Coverage verification AI (10%) |
| Market access & E&S placement | 13.0% | 25.0% | $2.7 | low | Wholesale brokers (Amwins, Ryan Specialty, CRC) (70%)Lloyd's syndicates & specialty carriers (15%)Appetite matching & placement AI (15%) |
| Program design & management | 8.0% | 30.0% | $2 | medium | MGA program managers (65%)Fronting carriers (Accelerant, Sutton, Transverse) (25%)Portfolio analytics platforms (10%) |
| Delegated claims handling | 8.0% | 50.0% | $3.4 | high | MGA claims staff (55%)TPA networks (30%)Claims AI (Datagrid, ClaimLogiq) (15%) |
| Risk advisory & client analytics | 7.0% | 25.0% | $1.5 | low | Broker risk consultants (70%)Analytics platforms (Marsh Analytics, Aon Risk) (20%)GenAI advisory tools (10%) |
| Distribution & producer management | 6.0% | 22.0% | $1.1 | medium | MGA & broker distribution ops (55%)Portal platforms (Applied, Vertafore, Ivans) (35%)Appointment & lead AI (10%) |
| Compliance & surplus lines filing | 4.0% | 40.0% | $1.4 | medium | MGA compliance teams (55%)Surplus lines stamping offices (WSIA) (20%)RegTech (Sovos, Velocity Risk) (25%) |
| Renewal underwriting & retention | 5.0% | 40.0% | $1.7 | medium | MGA underwriters (60%)Data enrichment (Verisk, LexisNexis) (25%)Renewal AI (Concord, EZLynx) (15%) |
| Portfolio data analytics & bordereaux | 6.0% | 45.0% | $2.3 | medium | MGA actuaries & data scientists (55%)Data vendors (Verisk Analytics, ISO) (30%)Portfolio analytics AI (15%) |
Co-operate, not consult
We take position in the workflows we automate.
MGA margin sits in intake velocity, underwriting triage, and claims throughput. We run these, not map them. Our economics are equity in the margin you recover, not retainer on the analysis.
Talk to a principalExplore the cluster
Where to go next
AI thesis→
Who captures the margin as automation compresses the workflow.
AI shift timeline→
24 months of displacement, sequenced by rebuild order.
Submission intake & triage→
$4.1B AI-compressible. The single highest-ROI automation target in the MGA workflow.
Underwriting authority→
$5.3B. The MGA's core moat. AI augments throughput without replacing specialist judgment.
Delegated claims handling→
$3.4B. AI triage cut resolution from 30 days to 7.5 days in production deployments.
Portfolio analytics→
$2.3B. The intelligence layer that determines carrier binding authority allocations.
What is an MGA profit pool?
An MGA profit pool maps where revenue concentrates across the insurance intermediary value chain: commissions, managing fees, and brokerage revenue that flows through each workflow from submission intake to portfolio reporting. The $84B figure covers the US insurance intermediary market: P&C-focused brokerage revenue plus non-broker-affiliated MGA and program revenue.
Which MGA activities are most exposed to AI displacement?
Submission intake and triage tops the list at 70% compressibility. Commercial underwriters spend 60-70% of their day on document extraction that AI handles in seconds. Loss run analysis (60%), policy issuance and coverage checking (55%), and delegated claims handling (50%) follow. These four activities together account for roughly $13B of compressible revenue.
Does AI displacement mean MGA headcount falls?
For displaced activities, yes. The labor content of those workflows compresses. For augmented and accelerated activities, the opposite: the same underwriters write more premium, the same program managers design more programs. The MGA that sequences the rebuild correctly recovers margin without a corresponding revenue loss.
How does Moative engage with MGA operators on profit pool automation?
We start from the profit pool map to sequence the rebuild. The activities with the highest compressibility and the largest revenue share come first. Those fund the next phase. We take position in the workflows we automate, not retainer on the mapping exercise.