AJG · Arthur J. Gallagher & Co.

Insurance - Brokers · mkt cap $52.9B · calls: Q1 FY2026 vs Q4 FY2025

38.0 conviction · conf-adj 38

conf 6/10 partial

enthusiasm:24.0 · trend:8 · quantifies:5 · impact:0 · under_radar:0 · credibility:0 · business_impact:4 · disruption:-6 · commitment:0 · confirmation:3

Enthusiasm latest 8 / prev 6 (rising)

AJG frames AI as an amplifier of its advisory broker/adjuster model—not a disintermediation threat—with deployment already in core workflows (especially claims at Gallagher Bassett) and sales/reinsurance tools, backed by decades of process standardization and heavy tech spend. Management offers selective operating metrics (retention, hit ratio, risk scores) and margin expansion tied to productivity, but no AI-specific revenue or cost-save line item. Enthusiasm rises from a defensive Q4 analyst exchange to a structured Q1 strategic narrative plus concrete tool examples; credibility is moderate-high on operations and distribution, lower on quantified AI P&L impact.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $13.9B · net income $1.5B · net margin 10.7% · diluted EPS 5.75

These are next-fiscal-year annual uplift estimates, not next-quarter numbers.

Aggregate next-FY est. rev uplift: 0.65% · next-FY EPS uplift: 1.2% · vs analysts: inline · priced in: high · confidence: 6/10

Claim	Figure	Arithmetic	Next-FY Rev %	Next-FY EPS %
Retention +1 pt (94.5%->95.5%) from digitized client relationships engagement	+1.0 retention point	+1pt on a near-fully-recurring commission book ~= +1% of steady-state rev (~$139M of $13.94B). Quote frames it as achieved over prior years -> largely embedded; credit only continued-digitization increment to next FY (~0.25-0.3pt ~= $35-42M, 0.3% rev). Flow @ adjusted net margin ~20% (2,782/13,942): ~$8M NI / 2,782 = ~0.25% adj EPS. Retained business is higher-margin so conservative.	0.3	0.25
New-business hit ratio ~32% -> approaching 45% when tools used engagement · soft	32% -> ~45% hit ratio	45/32 = 1.41x win rate on new-business pipeline (~10-18% of rev/yr; base NOT disclosed -> soft). Framed as gain over the last decade -> mostly in base; credit only forward tool-penetration increment ~0.2-0.5% rev (~$28-76M). Midpoint ~0.35% rev; @20% margin -> ~$5-8M NI / 2,782 = ~0.2% adj EPS.	0.35	0.2
Risk-profile score 65 -> 87 (analytics tool output) other · soft	65 -> 87 score	Client risk-improvement score, not a price/volume metric — no disclosed conversion to commission or fee revenue. Cannot anchor a $ figure from the inputs. Unanchored.
Tech/AI investment spend 'hundreds of millions' annually cost · soft	hundreds of millions $/yr (drag)	Investment SPEND, not a quantified saving or revenue — a cost already absorbed in the margin line; its net effect surfaces as the underlying margin expansion (next row), so sizing it standalone would double-count. Vague range with no productivity-output number attached.
Underlying Brokerage margin expansion 40-60 bps FY2026 (productivity & quality pillar incl. AI) productivity	50 bps Q1; 40-60 bps FY2026	50bps x ~$13.94B = ~$70M pretax; after-tax @21% = ~$55M; 55/2,782 = ~1.98% adj EPS for the FULL pillar. Pillar bundles AI with offshoring/role-optimization/quality. X sizes the full pillar (1.62%); Y attributes ~40% to AI (~0.8%). Consensus uses the average ~1.2% adj EPS. Hard guidance figure; AI-attribution fraction is the assumption. Revenue uplift = 0.	0	1.2
AI/data-center infrastructure E&S placement submissions revenue · soft	'very small' % of submissions today	SUPPLIER-side: brokerage placement demand riding the AI buildout, not AI improving AJG's own ops. Management explicitly calls it 'a very small item' today (no $/% disclosed). Bounded at <~0.2% of revenue (~<$28M) — structural multiyear tailwind but immaterial next FY; excluded from the adopter headline.	0.2

Assumptions: Earnings basis = adjusted (consensus) NI ~$2.782B / EPS ~$10.69, NOT GAAP $1.494B/$5.75 (GAAP depressed by roll-up amortization). Incremental margin on retained/new commission revenue = current ADJUSTED net margin ~20% applied consistently (X's 10.7% GAAP-margin flow-through rejected as inconsistent with the adjusted denominator). Tax 21% on productivity saving. Phasing: retention (+1pt) and hit-ratio (32->45%) are described as already achieved over prior years, so only a small continued-penetration increment is credited to next FY. 40-60bps margin guidance is a composite productivity+quality pillar; ~40% attributed to AI/digital, but headline uses the avg of full-pillar vs AI-slice sizing (~1.2% EPS). Flow-through EPS (retention+hit ~0.45%) overlaps the composite margin guide and is NOT added to the headline to avoid double-count. Supplier-side E&S reported separately, ~0.2% rev, excluded from adopter headline.

Top line: AJG is principally an ADOPTER: AI/digital tools raise win rates (32%->45% hit ratio) and retention (+1pt, 94.5%->95.5%), but both are described as already realized over years, so they sit in the base. Crediting only forward-penetration increments yields ~0.3% (retention) + ~0.35% (hit ratio) = ~0.65% of revenue (~$70-90M) of net-new topline next FY. The risk-score (65->87) is an output metric with no revenue anchor; the AI-infrastructure E&S placement line is supplier-side and 'very small' (~0.2% rev) today though a real multiyear tailwind.

Bottom line: Only hard, forward, quantified item is the 40-60bps underlying Brokerage margin expansion guided for FY2026 (~$70M pretax / ~$55M after-tax / ~2.0% adj EPS for the FULL pillar). AI is one input among offshoring/role-optimization/quality, so the AI-attributable slice is smaller; consensus sizes the headline at ~1.2% adj EPS (~$0.13/sh on $10.69) by averaging full-pillar (1.62%) and AI-attributed (~0.8%) views. Retention + hit-ratio flow-through (~0.45% EPS) overlaps the composite margin guide and is not added separately. The 'hundreds of millions' of annual tech spend is the offsetting drag already embedded in those margins.

The 40-60bps margin expansion is explicit management GUIDANCE, so consensus ($10.69 adjusted EPS) already bakes it in by construction. Retention and hit-ratio gains are stated as multi-year/decade achievements — embedded in the trajectory, not net-new. FY2025 rev $13.942B vs consensus $13.849B (+0.7%); adj EPS trajectory $10.03->$10.69 (+6.6%). The genuinely AI-incremental piece sizes to ~1.2% adj EPS (~$0.13) and ~0.65% revenue (~$80M), both comfortably inside the guided/consensus path rather than above it. No quantified claim points clearly ABOVE consensus; forward statements ('accelerate growth','compounds over time') are directional and unquantified.

MODEL CONSENSUS (impact)

partial

Adopter story; only hard forward lever is guided brokerage margin. AI-incremental impact ~0.65% rev / ~1.2% adj EPS, inside consensus. Priced-in high, inline.

Conflicts reconciled

margin eps_uplift_pct: X=1.62 (full pillar) vs Y=0.8 (40% AI slice) -> used 1.2 (avg; both defensible)
est_eps_uplift_pct: X=1.62 vs Y=1.1 -> used 1.2 (matches reconciled margin lever, flow-through not double-counted)
est_rev_uplift_pct: X=0.8 vs Y=0.5 -> used 0.65 (avg)
incr net margin: X=10.7% (GAAP) vs Y=20% (adj) -> used Y, consistent with adjusted denominator
supplier_rev_uplift_pct: X=null vs Y=0.2 -> used 0.2 (bounded 'very small' ceiling)
ai_revenue_side: X=both vs Y=adopter -> used both (a supplier E&S line exists)
hit-ratio soft: X=true vs Y=false -> used true (NB base undisclosed)

Field	Opus 4.8	GPT-5.5
Rev uplift %	0.5	–
EPS uplift %	1.1	–
Priced in	high	–
vs analysts	inline	–
Confidence	5	–
Top line	AJG is a textbook ADOPTER: AI/digital tools raise win rates (32%->45% hit ratio) and retention (+1 pt, 94.5%->95.5%), but both are described as already realized over years/the last decade, so they sit in the base. Crediting only the forward-penetration increment yields ~0.3% + ~0.2% = ~0.5% of revenue (~$70M) of net-new topline next FY. The risk-score (65->87) is an output metric with no revenue anchor, and the AI-infrastructure E&S placement line is supplier-side and 'very small' (~0.2%) today, though a real multiyear tailwind.	–
Bottom line	The only hard, forward, quantified item is the 40-60 bps underlying Brokerage margin expansion guided for FY2026 (~$70M pretax / ~$55M after-tax / ~2.0% of adjusted EPS for the FULL pillar). AI is one input among offshoring/role-optimization/quality, so the AI-attributable slice is ~0.8% EPS (~$22M). Adding the topline flow-through (~0.4% EPS) gives an adopter aggregate of ~1.1% EPS (~$0.12/sh on a $10.69 base). The 'hundreds of millions' of annual tech spend is the offsetting drag already embedded in those margins.	–
Reasoning	The 40-60 bps margin expansion is explicit management GUIDANCE, so consensus ($10.69 adjusted EPS, $13.85B->higher revenue) already bakes it in by construction. The retention and hit-ratio gains are stated as multi-year/decade achievements — embedded in the trajectory, not net-new. The genuinely AI-incremental piece sizes to ~1.1% EPS (~$0.12) and ~0.5% revenue (~$70M), both comfortably inside the guided/consensus path rather than above it. No quantified claim points clearly ABOVE consensus, so there is no priced-in gap to exploit; the forward statements ('accelerate growth', 'minimally disruptive', 'compounds over time') are directional and unquantified.	–

Rows highlighted where the two models disagreed.

QUANTIFICATIONS

Client retention lift from digitized relationships: +1 point (94.5% to 95.5%) (over the last few years, topline)
“if we digitize the relationship with the client, it will actually increase our retention by a full point. Now that means it takes it from something like 94.5% to 95.5%.”

New-business hit ratio with sales/digital tools: ~32% to approaching 45% (over the last decade vs. now when tools are used, topline)
“Before we got our tools going over the last decade, our hit ratio was about 32%... With our tools now, we know this statistically, we're approaching 45% hit ratios when, in fact, we use the tools.”

Risk-profile score improvement (analytics tool output): 65 to 87 (prospective with client risk-improvement work, topline)
“you score on our profile 65... we can take that, we think, to 87.”

Technology / AI-related investment spend: hundreds of millions of dollars (annual (implied ongoing), bottomline)
“These tools, we're spending hundreds of millions of dollars, and they're really getting traction.”

Underlying Brokerage margin expansion (productivity & quality pillar that includes AI): 50 bps this quarter; 40–60 bps full-year 2026 forecast (Q1 FY2026; full year 2026, bottomline)
“We had terrific expansion this quarter of 50 basis points. And you'll see to the far right, we're still forecasting full year 40 to 60 basis points of underlying margin expansion.”

AI-related infrastructure E&S submissions (sizing analyst question): very small (percentage of submissions) (today, topline)
“As a percentage, it's a very small item.”

PAST (realized)

Q1 FY2026 — Pat: 'For more than 2 decades, we've standardized processes and centralized our proprietary data across the company.'
Q1 FY2026 — Pat: 'Fourth, AI is already deployed across many of our core platforms and workflows.'
Q1 FY2026 — Pat: 'We have found over the last few years that if we digitize the relationship with the client, it will actually increase our retention by a full point.'
Q1 FY2026 — Pat: 'Before we got our tools going over the last decade, our hit ratio was about 32%... we're approaching 45% hit ratios when, in fact, we use the tools.'
Q4 FY2025 — Doug: Gallagher Drive on 'the desk of every single salesperson at AP. They're using it. We're winning together already.'
Q4 FY2025 — Doug: 'we're spending a fair amount of money on AI, we're getting some really terrific results, especially, like, in our Gallagher Bassett unit for on the claims adjusting side, the claims resolution side.'
Q4 FY2025 — Doug: 'we've spent twenty years working on standardizing our processes, centralizing them in our low-cost centers of driving the quality very high.'

CURRENT (now)

Q1 FY2026 — Pat (Gallagher Bassett): 'embracing new technology, including AI and machine learning to further improve the claims experience for our clients.'
Q1 FY2026 — Pat: 'AI is already deployed across many of our core platforms and workflows.'
Q1 FY2026 — Pat: Reinsurance 'workbench product that uses AI'; Gallagher Drive in prospect calls; Blueprint announced at RIMS.
Q1 FY2026 — Pat: 'These tools, we're spending hundreds of millions of dollars, and they're really getting traction.'
Q4 FY2025 — Doug: AI delivering results in Gallagher Bassett claims adjusting/resolution with 'nice speed to market.'
Q4 FY2025 — Doug: Deploying AI to automate standardized/centralized back-office processes for better, faster, cheaper service.

FORWARD (guidance)

Q1 FY2026 — Pat: 'we expect AI to be minimally disruptive when it comes to selling insurance, providing consulting services and managing claims.'
Q1 FY2026 — Pat: 'AI actually should accelerate our growth' via faster advice, tailored solutions, speed to market, win rates, retention, and client experience.
Q1 FY2026 — Pat: 'that advantage compounds over time' from prior data/process foundation.
Q1 FY2026 — Pat: 'AI strengthens, not replaces the broker and adviser model.'
Q4 FY2025 — Doug: If AI-sellable products emerge, Gallagher will likely distribute them with AI to point-of-sale plus a producer for the final step.
Q4 FY2025 — Doug: Service-layer AI will deliver 'better, faster, and less expensive' offerings and help retention; selling insurance via AI alone is 'gonna be a long time.'
Q4 FY2025 — Pat: E&S/data-center and AI-infrastructure exposure is a structural multiyear growth tailwind (brokerage placement demand, not internal AI capex).

TRACK RECORD — PROMISE vs DELIVERY

—/100 (no quantified promises) no-quantified-promises 6 calls reviewed

Across six calls AJG cites AI, machine learning, analytics, and productivity levers repeatedly but never states a dated, numeric AI outcome (e.g., % cost save, claims automation rate, or AI revenue). Credibility on quantified AI promises cannot be scored; track record is narrative-only, with AssuredPartners synergy dollars ($160M by end of 2026) explicitly M&A integration, not AI.

PRICED-IN (REFINED)

HIGH (already in)

Est. revisions rising · Fwd P/E 39.2 · EV/Sales 3.5x

AI claim maps to Brokerage Segment, Commissions

Analyst sentiment is migrating up (buy+strongBuy rose from ~12 in Jan to 15 in Jun, holds fell from 12 to 7) and near-term price targets were raised (lastMonthAvg 252.5 vs lastQuarterAvg 240), while forward revenue/EPS already embed strong growth (FY25 revenue ~+21% vs FY24). At fwd P/E ~39x and EV/Sales ~3.5x, multiples are rich for a mature insurance broker, so rising revisions plus stretched valuation imply much of the AI/efficiency upside is already in the price. AI-driven gains would most plausibly flow through Brokerage Segment and Commissions, the core placement economics lines.

COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS

3Q4 FY20243Q1 FY20253Q2 FY20253Q3 FY20253Q4 FY20255Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

Years of generic data/analytics talk; Q1 FY26 first named AI/ML for Gallagher Bassett claims, still light on detail.

RECENT AI CATALYSTS & NEWS

BUSINESS IMPACT - QUALITATIVE MATERIALITY

6/10 qualitative impact moderate near-term · mixed evidence

Where AI matters: brokerage productivity, sales tools, claims adjusting

AI is deployed in Gallagher Drive, Blueprint, reinsurance workbench, and Gallagher Bassett claims with credible workflow gains (retention +1pt, hit ratio ~32%→~45%, 40–60bps brokerage margin guide), but incremental own-business uplift sizes to ~0.6% revenue and ~1.2% EPS with AI only a partial pillar input and no standalone AI P&L line.

Caveats: Small-commercial disintermediation if AI-native carriers or DIY placement scale; Margin and win-rate gains may be largely embedded in base, not incremental above guide/consensus; No dated numeric AI outcome; productivity pillar bundles AI with offshoring and other levers; AI-infrastructure E&S placement is supplier-side tailwind and currently immaterial per management

AI DISRUPTION / CANNIBALIZATION RISK tailwind · 4/10

Commission-based advisory placement on complex, regulated risks is not pure billable-hour arbitrage; AI mainly automates back-office and sharpens advice while scale/data moats favor top brokers, though direct/digital models can pressure commoditized small-commercial placement over time.

OPTIONS / MARKET STRUCTURE

option liquidity: good

ATM IV

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TYPICAL BID-ASK

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OPEN INTEREST

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proxy inputs — dollar-ADV $407M · beta 0.545 · px $205.77

source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.

CONFIRMATION — INSIDERS · 13F · LANGUAGE

Mixed — insiders selling, institutions adding, management language 5/10 measured.

INSIDERS selling 1 open-market sell(s) vs 0 buy(s) — net distribution

INSTITUTIONS (13F) adding as of 2026-03-31: 154 new / 210 closed positions; 590 increased / 467 reduced; institutional ownership -1.79pp; -64 net 13F holders

MGMT LANGUAGE 5/10 measured Firm already-deployed language, but expect/should/embracing and no AI metrics or timelines.

commit “AI is already deployed across many of our core platforms and workflows.”

commit “how we were already deploying AI across Gallagher.”

hedge “embracing new technology, including AI and machine learning to further improve the claims experience”

VERBATIM AI QUOTES

“The fastest-growing part of E&S continues to come from emerging specialty risks such as data centers and AI-related infrastructure as well as other complex exposures.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“The team is adding new products, new services and embracing new technology, including AI and machine learning to further improve the claims experience for our clients.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“We view AI, digitization and automation as a continuation of that long-standing strategy.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“First, we expect AI to be minimally disruptive when it comes to selling insurance, providing consulting services and managing claims. Our business is advisory-led, complex and relationship-driven.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“Second, AI actually should accelerate our growth. AI enhances our ability to deliver faster, higher-quality advice and more tailored client solutions, improving our speed to market, win rates, retention and provides better client experiences.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“Fourth, AI is already deployed across many of our core platforms and workflows. It helps our teams make better decisions and spend more time advising clients while continuing to raise productivity and quality.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“And finally, and most importantly, AI strengthens, not replaces the broker and adviser model. AI is another tool that strengthens how we serve clients.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“AI makes every single one of our professionals better at what they already do by amplifying our expertise, our data and our market access.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“And importantly, culture is what makes our investments in talent, technology and AI work.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“We have found over the last few years that if we digitize the relationship with the client, it will actually increase our retention by a full point. Now that means it takes it from something like 94.5% to 95.5%.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“Before we got our tools going over the last decade, our hit ratio was about 32%. So it was all about getting at bats. With our tools now, we know this statistically, we're approaching 45% hit ratios when, in fact, we use the tools.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“Our reinsurance people have got a workbench product that uses AI to show clients all kinds of different approaches, et cetera, et cetera.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“These tools, we're spending hundreds of millions of dollars, and they're really getting traction.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“And they all walk in and go, well, we've got AI. Look at our ChatGPT. That's not the point. Let us just show you what we do with your risk profile, which we can now categorize numerically that says, as you exist today, you score on our profile 65. That's not great. But if you work with us on loss control, on improving your risk profile, on the things you need to do, we can take that, we think, to 87.”
— J. Patrick Gallagher, Jr., Q1 FY2026

“Within two weeks, our cutting-edge Gallagher Drive program, which is the digital experience that our producers can use with our clients on the desk of every single salesperson at AP. They're using it. We're winning together already.”
— Douglas K. Howell, Q4 FY2025

“So when that person who's a small account with five trucks and he or she is trying to make sure people are on the job and someone got sick and they're replacing that person, but they've got a commitment to build this building by a certain date. You think they've got the confidence to pick their insurance online? Even if ChatGBT says, this is the way to go, it's just not happening.”
— J. Patrick Gallagher, Jr., Q4 FY2025

“I think that we stand to benefit from it. Because if there is a product that can be sold with AI, we will likely be the ones that can put it out there. And then put it out there, have AI, get it to the point of sale, and then have a producer do the final piece of it.”
— Douglas K. Howell, Q4 FY2025

“On the other hand, we see AI as being a terrific benefit for us to get better, faster, at lower cost.”
— Douglas K. Howell, Q4 FY2025

“AI is going to help us automate a lot of that. So the service layer, I think that we're going to be able to deliver a better, faster, and less expensive service offering.”
— Douglas K. Howell, Q4 FY2025

“So we're spending a fair amount of money on AI, we're getting some really terrific results, especially, like, in our Gallagher Bassett unit for on the claims adjusting side, the claims resolution side. Seeing some nice speed to market that we can do.”
— Douglas K. Howell, Q4 FY2025

“And honestly, there's only three or four of us in the industry that are gonna be able to devote the money into this that will actually deliver benefits.”
— Douglas K. Howell, Q4 FY2025

“It's not a replacement for production. Will improve service, and I think that service will help us improve our retention rates.”
— Douglas K. Howell, Q4 FY2025

“We're pretty proud of the hundreds of millions of dollars that we're investing every year in technology and data and analytics to make our folks realize that this is the very best place that they can toil and work and produce better than any other place.”
— Douglas K. Howell, Q4 FY2025

ANALYST QUESTIONS ON AI

Q (Q4 FY2025, Andrew Kligerman (TD Cowen)): My follow-up question is around AI. And disintermediating the intermediaries. I've been getting that a lot. And it's around kind of small commercial. Could you talk to what your thoughts are out on the horizon, how that might affect your small business production?
A: Pat: Compared AI disintermediation fears to the Internet era ('Goodbye, intermediaries') and argued small commercial still needs trusted advisers; 'The trusted adviser is more important today because of AI than it was before AI because everybody's confused.' Doug: Gallagher can benefit if AI-sold products emerge ('we will likely be the ones that can put it out there'); onboarding/servicing/claims still need producers and adjustors; AI will automate standardized back-office work for 'better, faster, and less expensive' service; spending on AI with 'terrific results' especially at Gallagher Bassett on claims; only 'three or four' brokers can fund this at scale; AI improves service/retention but won't replace production for a long time.

Q (Q1 FY2026, [Jing] for Meyer Shields (KBW)): On the E&S. You call out the data center and AI-related infrastructure as the fastest-growing part of the E&S market. Could you kind of help us size kind of what percentage of the submission today is kind of related to that and going forward?
A: Doug: 'As a percentage, it's a very small item.' Specialty tailwind as data centers come online and need E&S cover; Gallagher has a 'terrific practice' and bespoke model. Pat: 'great growth opportunities' across the data center effort but 'as a percentage of the overall market, this is not earth shattering.'

Q (Q1 FY2026, Mark Hughes (Truist Securities)): A number of your competitors... have talked about challenges with new business, and it sounds like you're seeing things go pretty well... why would new business be more difficult [in this cycle]?
A: Pat tied new-business outperformance to digitized client relationships and sales tools (not labeled AI-only): retention up ~1 point (94.5% to 95.5%), hit ratio from ~32% toward ~45% when tools are used; Gallagher Drive, Blueprint, reinsurance 'workbench product that uses AI'; 'hundreds of millions of dollars' on tools; differentiated vs competitors showing 'ChatGPT'; numeric risk-profile scoring (65 to 87) linked to better market pricing and orders.