AON · Aon plc

Insurance - Brokers · mkt cap $67.9B · calls: Q1 FY2026 vs Q4 FY2025

68.0 conviction · conf-adj 67

conf 5/10 partial

enthusiasm:27.0 · trend:8 · quantifies:5 · impact:0 · under_radar:5 · credibility:12 · business_impact:8 · disruption:-6 · commitment:6 · confirmation:3

Enthusiasm latest 9 / prev 8 (rising)

Aon's AI thesis is operational, not decorative: ABS embeds LLM copilots (Broker, Claims), proprietary analyzers, and measurable back-office productivity, with reinvestment framed as expanding insured risk and winning complex mandates (especially AI-driven data-center construction). Credibility is stronger in Q1 FY2026 than Q4 FY2025 because management added hard cycle-time and workload metrics and clearer win-rate/retention measurement, though most dollars tied to AI remain indirect (construction pipeline, margin leverage) rather than a standalone AI revenue line.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $17.2B · net income $3.7B · net margin 21.5% · diluted EPS 17.02

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

Aggregate next-FY est. rev uplift: 0.0% · next-FY EPS uplift: 2.89% · vs analysts: in line · priced in: medium (model's call-read: high; verdict above is the hard-data one used for ranking) · confidence: 5/10

Claim	Figure	Arithmetic	Next-FY Rev %	Next-FY EPS %
Cumulative talent + technology (AI) investment ~$1.3B by YE2026 other	~$1.3 billion by year-end 2026	Cumulative capital/input spend, not a P&L uplift; largely already in the cost base and enables the productivity/margin claims. $1.3B = 7.6% of $17.181B rev / 35.2% of $3.695B NI, but maps to no standalone rev/EPS delta.
Invoicing cycle time -50% (22->11 days) productivity · soft	-50% cycle time	Process-level example; no $ labor/cost base disclosed. Realized savings captured in the AAU/$100M line, not separately sizeable.
Invoicing work volume -70% productivity · soft	-70% work	No $ base for invoicing labor; micro-example feeding firm-wide productivity. Unanchored.
Certificates of insurance handle time -95% (hours->5 min) productivity · soft	-95% handle time	No $ base for COI processing cost. Unanchored micro-example.
Policy check time -95% (48h->30min) productivity · soft	-95% time	No $ base for policy-check labor. Unanchored micro-example.
Claims advocacy recoveries ~$10B (last decade) other · soft	nearly $10 billion overturned/recovered	Value recovered for CLIENTS (~$1B/yr), not Aon revenue; Claims Copilot context. No fee/take-rate disclosed -> cannot map to Aon rev/EPS.
Data center insurance program capacity $3.5B (+$1B) revenue · soft	$3.5B capacity	Insurance CAPACITY placed, not Aon revenue; Aon earns brokerage fees on placement. No take-rate disclosed -> cannot size next-FY revenue.
Data center revenue pipeline 3x prior year (2026) revenue · soft	3x pipeline vs last year	Pipeline/bookings, not recognized revenue; no prior-year base $ disclosed. Genuine adopter topline upside but unanchored; bookings != next-FY revenue.
Firm-wide productivity improvement +5% to 15% productivity · soft	5% to 15%	Mechanism, not a realized $ saving; the realized portion is disclosed separately as the AAU $100M/2026 line. Sizing off opex would double-count that line -> left soft.
Commercial Risk retention +50 bps (Q1 FY2026) engagement · soft	+50 bps retention	Commercial Risk segment revenue base not disclosed in inputs. If ~$9-10B, +50bps ~ $45-50M held (~0.25-0.3% of total rev) -> illustrative only; base not in claims -> soft.
NPS up 10 points engagement · soft	+10 NPS points	Leading engagement indicator; no revenue elasticity or $ conversion disclosed.
FY2026 adjusted operating margin expansion +70-80 bps (39.1% in Q1) cost	+70-80 bps (midpoint 75 bps)	UMBRELLA bottom-line lever. 75bps mid x FY2026 consensus rev $18.035B = +$135.3M op income; x(1-21%) = +$106.9M NI; /$3.695B NI = 2.89% EPS. Rev uplift 0 (margin on existing base). SUBSUMES the AAU $100M and ABS 40-50bps lines -> not additive.	0	2.89
Alternative capital pool framing ($4.6T vs $250T) other · soft	$4.6T traditional vs $250T broader pool	Strategic TAM framing, not an Aon revenue figure. No capture rate or mappable base -> unanchored.
DCLP / cap-bond facility capacity $2.5B (+$1B) revenue · soft	$2.5 billion capacity	Facility capacity, not Aon revenue; no fee/yield or ratable recognition disclosed -> no next-FY rev. Same caveat as the $3.5B program.
Data center treaty capital alignment up to $5B revenue · soft	up to $5 billion capital aligned	Single-placement capital aligned through the value chain, not Aon revenue; brokerage fee take undisclosed -> unanchored.
ABS platform margin expansion +40-50 bps (FY2026) cost	+40-50 bps (midpoint 45 bps)	45bps mid x FY2026 consensus rev $18.035B = +$81.2M op income; x0.79 = +$64.1M NI; /$3.695B = 1.74% EPS. COMPONENT of the 70-80bps umbrella -> not counted again in the aggregate.	0	1.74
AAU: apps -25%; 80% cloud by YE2026 productivity · soft	-25% apps; 80% cloud	Operational mechanism behind AAU savings; the $ realization is the $100M line, so no separate uplift.
AAU / restructuring savings $100M (2026); $450M by 2027 cost	$100M (2026)	Next-FY portion = $100M. x(1-21%) = $79M after-tax; /$3.695B NI = 2.14% EPS. COMPONENT of the 70-80bps margin umbrella -> not added on top of the 2.89%.	0	2.14
AI acceleration spend $1B (2023) other	$1B	Historical spend to accelerate AI, not a forward uplift. Anchored but maps to no rev/EPS delta.

Assumptions: Tax rate 21% (default). No anchored adopter revenue $ disclosed, so incremental-margin flow-through is n/a and est_rev_uplift_pct=0 (data-center pipeline/capacity upside is real but unanchored -> soft). EPS% taken against ~$3,695M net income. Margin-expansion EPS sized on FY2026 consensus revenue ($18.035B) to match the forward guide. The 70-80bps umbrella margin guide SUBSUMES the AAU $100M and ABS 40-50bps lines, which are components not additive; aggregate EPS uplift = umbrella only (~2.89%).

Top line: No hard, anchored adopter revenue lever sizeable from the inputs. The strongest signals — data-center revenue pipeline 3x YoY, +50bps Commercial Risk retention from AI 'analyzers', NPS +10, and 'addressable-market expansion' — are real but unanchored to a disclosed Aon-revenue dollar base. The only semi-quantifiable item, +50bps Commercial Risk retention, maps to roughly 0.2-0.3% of total revenue IF Commercial Risk is ~$9-10B (segment base not disclosed, so soft). Consensus already embeds ~+5.0% FY26 revenue growth ($17,181M -> $18,035M); the AI topline story is multiyear optionality ('beginning of the beginning'), not a quantifiable FY26 add.

Bottom line: This is where the anchored impact sits. The reaffirmed FY26 adjusted operating margin expansion of 70-80bps (75bps mid) = $128.9M operating income -> $101.8M after-tax -> 2.76% EPS uplift, driven by the AI-embedded ABS platform leverage (40-50bps) and AAU app/cloud modernization ($100M of $450M-by-2027 savings, 58bps gross). These are components of the same guided 75bps, so the bottom-line AI lever is ~2.76% EPS, not the 5.5% you'd get by summing.

Consensus FY26 EPS $19.15 is +12.5% over GAAP $17.02 (and +12.9% over FY25 consensus $16.96) on only +5.0% revenue growth — that gap implies ~7-8pts of margin/buyback leverage already baked in. The AI-attributable bottom-line lever (~2.76% EPS from the 70-80bps margin guide) is publicly guided and explicitly REAFFIRMED, so it is already in the $19.15 estimate. Net income consensus $4,160.7M vs $3,695M is +12.6%, again consistent with the guided margin path. The only un-priced piece is the qualitative topline optionality (data-center 3x pipeline, $250T capital-pool access), which is unquantifiable here and cannot be claimed as a numeric gap.

MODEL CONSENSUS (impact)

partial

Reconciled side/type labels and used forward FY26 revenue base for margin EPS; AAU/ABS are components of the umbrella, not additive.

Conflicts reconciled

type[claims advocacy $10B]: X=revenue vs Y=other -> used other (client value recovered, not Aon revenue)
side[data-center capacity/pipeline]: X=supplier vs Y=adopter -> used adopter (Aon uses AI to win broking, not an AI vendor)
eps_uplift_pct[margin umbrella]: X=2.89 vs Y=2.76 -> used 2.89 (FY26 consensus rev base $18.035B matches the forward margin guide)
eps_uplift_pct[ABS]: X=1.74 vs Y=1.65 -> used 1.74 (same FY26 rev base)

Field	Opus 4.8	GPT-5.5
Rev uplift %	–	–
EPS uplift %	2.76	–
Priced in	high	–
vs analysts	inline	–
Confidence	6	–
Top line	No hard, anchored adopter revenue lever sizeable from the inputs. The strongest signals — data-center revenue pipeline 3x YoY, +50bps Commercial Risk retention from AI 'analyzers', NPS +10, and 'addressable-market expansion' — are real but unanchored to a disclosed Aon-revenue dollar base. The only semi-quantifiable item, +50bps Commercial Risk retention, maps to roughly 0.2-0.3% of total revenue IF Commercial Risk is ~$9-10B (segment base not disclosed, so soft). Consensus already embeds ~+5.0% FY26 revenue growth ($17,181M -> $18,035M); the AI topline story is multiyear optionality ('beginning of the beginning'), not a quantifiable FY26 add.	–
Bottom line	This is where the anchored impact sits. The reaffirmed FY26 adjusted operating margin expansion of 70-80bps (75bps mid) = $128.9M operating income -> $101.8M after-tax -> 2.76% EPS uplift, driven by the AI-embedded ABS platform leverage (40-50bps) and AAU app/cloud modernization ($100M of $450M-by-2027 savings, 58bps gross). These are components of the same guided 75bps, so the bottom-line AI lever is ~2.76% EPS, not the 5.5% you'd get by summing.	–
Reasoning	Consensus FY26 EPS $19.15 is +12.5% over GAAP $17.02 (and +12.9% over FY25 consensus $16.96) on only +5.0% revenue growth — that gap implies ~7-8pts of margin/buyback leverage already baked in. The AI-attributable bottom-line lever (~2.76% EPS from the 70-80bps margin guide) is publicly guided and explicitly REAFFIRMED, so it is already in the $19.15 estimate. Net income consensus $4,160.7M vs $3,695M is +12.6%, again consistent with the guided margin path. The only un-priced piece is the qualitative topline optionality (data-center 3x pipeline, $250T capital-pool access), which is unquantifiable here and cannot be claimed as a numeric gap.	–

Rows highlighted where the two models disagreed.

QUANTIFICATIONS

Cumulative talent + technology investment (AI-embedded): ~$1.3 billion by year-end (2026 year-end, both)
“By year-end, we expect to have invested approximately $1.3 billion in talent and technology, enhancing productivity and strengthening our ability to better diagnose risk, design integrated solutions, access capital efficiently and execute consistently for our clients.”

Invoicing cycle time: 50% reduction (22 to 11 days) (current (example cited), bottomline)
“a 50% reduction in cycle time from 22 to 11 days for invoicing and 70% reduction in invoicing work”

Invoicing work volume: 70% reduction (current, bottomline)
“a 50% reduction in cycle time from 22 to 11 days for invoicing and 70% reduction in invoicing work”

Certificates of insurance handle time: 95% reduction (hours to <5 minutes) (current, bottomline)
“a 95% reduction in handle time and certificates of insurance from hours to less than 5 minutes”

Policy check time: 95% reduction (48 hours to 30 minutes) (current, bottomline)
“a 95% reduction in time in policy checks from 48 hours to 30 minutes”

Claims advocacy recoveries (context for Claims Copilot): nearly $10 billion overturned/partially recovered (last decade, topline)
“we've been able to overturn and partially recover nearly $10 billion of financial value for claims that were initially denied”

Data center program capacity: $3.5 billion (up $1 billion) (recent increase, topline)
“Our data center life cycle insurance program, which we recently increased capacity by another $1 billion to $3.5 billion”

Data center revenue pipeline: on pace to be 3x higher than last year (2026 vs prior year, topline)
“our data center revenue pipeline is on pace to be 3x higher than last year”

Firm-wide productivity improvement range: 5% to 15% (current / ongoing, both)
“we had talked earlier about 5% to 15% productivity improvements. Those things are happening right now”

Commercial Risk retention improvement (attributed to analyzers): +50 bps (Q1 FY2026, topline)
“Retention was 50 basis points higher in Commercial Risk for the quarter. That's our analyzers helping with RFPs.”

NPS improvement: up 10 points (current (Q1 cited in Q&A), topline)
“We had NPS up 10 points”

Q1 adjusted operating margin: 39.1% (+70 bps); full-year guide 70–80 bps expansion (Q1 FY2026 / FY2026, bottomline)
“adjusted operating margin expanded by 70 basis points and reached 39.1%... we are reaffirming our expectations for 70 to 80 basis points of margin expansion for the full year”

Alternative capital pools (AI-embedded analytics framing): $4.6T traditional reinsurance vs $250T broader pool (strategic framing, topline)
“expand beyond the $4.6 trillion of traditional reinsurance capital to access the $250 trillion capital pool”

DCLP / cap bond facility capacity: $2.5 billion total after $1B expansion (Q4); $3.5B data center program (Q1) (2025–2026, topline)
“We recently announced a billion-dollar expansion, increasing total capacity to $2.5 billion.”

Data center-specific treaty capital alignment: up to $5 billion (placed (Q4 example), topline)
“delivering a solution that aligns up to $5 billion of capital through the insurance value chain behind a single leading insurer”

ABS-driven margin expansion (guided component): 40–50 bps (FY2026, bottomline)
“we expect 40 to 50 basis points of margin expansion from the operating leverage in the scalable ABS platform”

Applications to cloud / app count: applications down 25%; 80% in cloud by end of year (AAU program through 2026, bottomline)
“our applications going down 25%. About the application's going into the cloud, 80% of them by the end of this year here”

AAU / restructuring savings: $100M in 2026; $450M total by 2027 (2026–2027, bottomline)
“We remain on track to deliver $100 million of savings in 2026, advancing toward our goal of $450 million in total savings by 2027”

AI acceleration spend (referenced in Q4): $1 billion (2023 doubling-down, both)
“It's one of the reasons we spent a billion dollars to accelerate it.”

PAST (realized)

Q1 FY2026 — Gregory Case: We established ABS nearly a decade ago and deliberately stepped up our investment beginning in 2024 to embed AI and advanced analytics across the firm.
Q1 FY2026 — Gregory Case: As a result of our advocacy over the last decade, we've been able to overturn and partially recover nearly $10 billion of financial value for claims that were initially denied.
Q1 FY2026 — Gregory Case: For example, a 50% reduction in cycle time from 22 to 11 days for invoicing and 70% reduction in invoicing work, a 95% reduction in handle time and certificates of insurance from hours to less than 5 minutes and a 95% reduction in time in policy checks from 48 hours to 30 minutes.
Q4 FY2025 — Gregory Case: We expanded our risk analyzers, launched Aon Broker Copilot, and more recently, launched Claims Copilot.
Q4 FY2025 — Gregory Case: We doubled down on an integrated AI-embedded capability, and we doubled down on risk capital and human capital.
Q4 FY2025 — Edmund Reese: We now, to help drive revenue, have a full suite of analyzers in EMEA and the US given the investment that we've made as part of AAU.

CURRENT (now)

Q1 FY2026 — Gregory Case: These investments are delivering results, materially improving productivity and execution for clients.
Q1 FY2026 — Edmund Reese: we had talked earlier about 5% to 15% productivity improvements. Those things are happening right now
Q1 FY2026 — Edmund Reese: It's not just margin, though. It's in the new business growth... It shows up in retention... NPS up 10 points
Q1 FY2026 — Edmund Reese: Retention was 50 basis points higher in Commercial Risk for the quarter. That's our analyzers helping with RFPs.
Q1 FY2026 — Edmund Reese: construction grew at a double-digit rate... as our data center revenue pipeline is on pace to be 3x higher than last year
Q4 FY2025 — Gregory Case: Our winning response showed the full capabilities of AI, including DCLP, advanced climate analytics, and proprietary risk analyzers
Q4 FY2025 — Edmund Reese: construction delivered another quarter of double-digit growth driven by ongoing demand for large global infrastructure projects, including data center construction for major technology clients.

FORWARD (guidance)

Q1 FY2026 — Gregory Case: By year-end, we expect to have invested approximately $1.3 billion in talent and technology
Q1 FY2026 — Gregory Case: We believe the net effect of technology adoption is an expansion of our addressable market.
Q1 FY2026 — Edmund Reese: When executed well, it expands the addressable market... while also unlocking incremental AI-enabled opportunities to gain share
Q1 FY2026 — Edmund Reese: the performance builds over the coming years, right? Like you see multiyear tailwinds from this.
Q1 FY2026 — Gregory Case: we're at the beginning of the beginning with tremendous promise ahead
Q4 FY2025 — Gregory Case: This race is just beginning. The opportunity is just beginning.
Q4 FY2025 — Edmund Reese: we expect 40 to 50 basis points of margin expansion from the operating leverage in the scalable ABS platform.

TRACK RECORD — PROMISE vs DELIVERY

72/100 track record delivers 6 calls reviewed

Across six calls Aon talks substantively about AI (copilots, analyzers, data-center opportunity, ops automation) but almost never sets quantified AI delivery targets; the main judgeable item—2024 hiring cohort revenue contribution tied to ABS analytics—landed in line with guidance, while the $1.3B 2026 AI/tech spend and most product milestones lack prior numeric promises to score.

2024 revenue-generating hire cohort to add 30–35 bps to full-year 2025 organic revenue (ABS/analytics-enabled) — promised Q2 FY2025
delivered Reaffirmed in Q3 FY2025; Q4 FY2025 reported 2024+2025 cohorts contributed ~50 bps to 2025 organic growth with similar seasoning curves—consistent with the 30–35 bps guide for the more mature 2024 cohort.

Invest ~$1.3B in talent and technology by year-end 2026 to embed AI/advanced analytics and drive productivity — promised Q1 FY2026
too-early Newly stated commitment; full-year 2026 not complete in this transcript set—no later verification yet.

Industry data-center insurance demand to exceed $10B of new premium volume in 2026 (AI/cloud CapEx-driven) — promised Q3 FY2025
too-early Later calls cite double-digit construction growth, large placements (e.g., ~$30B hyperscaler coverage), and a data-center pipeline ~3x prior year, but do not confirm the $10B market premium figure.

Invoicing cycle time cut ~50% (22→11 days), ~70% less invoicing work, ~95% faster certificates of insurance and policy checks via AI-driven ops — promised Q1 FY2026
too-early Disclosed as achieved operating metrics in the same call; no earlier quantified target in prior calls to judge against.

Expand Data Center Life Cycle Program capacity to $2.5B (AI-linked infrastructure facility) — promised Q4 FY2025
delivered Q1 FY2026 reported capacity raised again by $1B to $3.5B—expansion delivered/beats prior capacity level.

Launch and scale Aon Broker Copilot (embedded AI for predictive broking/placement) — promised Q2 FY2025
too-early Launched with first client placement in Q2; Q4 FY2025 and Q1 FY2026 cite broader rollout (Claims Copilot added) but no adoption, revenue, or productivity numbers vs a prior target.

PRICED-IN (REFINED)

MEDIUM

Est. revisions flat · Fwd P/E 20.6 · EV/Sales 4.7x

AI claim maps to Risk Capital Segment, Human Capital Segment

Revision signals are mixed: buy ratings edged up (9→10 buys, 7→6 holds Jan–Jun) but consensus price targets fell (lastMonth $373 < lastQuarter $378 < lastYear $403), so estimate_revision_trend is flat rather than rising. Forward valuation is rich for a mature broker (fwd P/E 20.6, EV/Sales 4.7, fwd PEG ~1.47), which embeds a growth/quality premium before clear AI-specific upside. AI productivity and analytics claims would most plausibly flow through Risk Capital (core broking) and Human Capital (benefits/consulting), not unallocated revenue. Rich multiples with flat—not rising—revisions imply much of the quality-growth narrative is in the price, but not the full high bar of rising estimates plus rich valuation.

COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS

5Q4 FY20245Q1 FY20258Q2 FY20256Q3 FY20258Q4 FY20259Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

Shifted from analytics and risk analyzers to named AI copilots, $1.3B investment, and quantified ABS productivity gains.

RECENT AI CATALYSTS & NEWS

BUSINESS IMPACT - QUALITATIVE MATERIALITY

7/10 qualitative impact material medium-term · mixed evidence

Where AI matters: ABS broker productivity, risk analytics, margin leverage

Aon is a real adopter—Broker/Claims Copilot, property analyzers, and ABS ops automation are deployed with credible cycle-time cuts and management cites 5–15% productivity, +50bps Commercial Risk retention, and win-rate gains; the only anchored P&L lever is ~70–80bps guided margin expansion (~2.8% EPS), while data-center pipeline 3x and addressable-market expansion remain unquantified topline optionality.

Caveats: FY26 margin/EPS uplift from ABS and AAU is largely guided and likely priced into consensus, not incremental alpha; Topline AI benefits (data-center pipeline 3x, retention bps) lack disclosed revenue bases and may not convert at implied scale; Peer adoption of similar copilots/analyzers could neutralize differentiation and reignite fee/compression pressure

AI DISRUPTION / CANNIBALIZATION RISK two-sided · 4/10

AI can compress economics on routine placement, COI/policy admin, and fee transparency—hence rising industry commission scrutiny—but Aon's core commercial model rests on complex risk diagnosis, capital access, advocacy, and relationship-led mandates that are harder to disintermediate than billable-hours consulting; winners with proprietary data/analytics may take share even as low-end broking commoditizes.

OPTIONS / MARKET STRUCTURE

option liquidity: good

ATM IV

—

TYPICAL BID-ASK

—

OPEN INTEREST

—

proxy inputs — dollar-ADV $449M · beta 0.714 · px $317.86

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 8/10 committed.

INSIDERS selling 2 open-market sell(s) vs 1 buy(s) — net distribution

INSTITUTIONS (13F) adding as of 2026-03-31: 142 new / 171 closed positions; 626 increased / 408 reduced; institutional ownership -0.60pp; -29 net 13F holders

MGMT LANGUAGE 8/10 committed Firm delivered-results framing and quantified ops gains; tempered by believe, illustrates, and over-time language.

commit “These investments are delivering results, materially improving productivity and execution for clients.”

commit “a 50% reduction in cycle time from 22 to 11 days for invoicing and 70% reduction in invoicing work”

commit “we're seeing substantial productivity gains across invoicing, certificates of insurance and policy administration”

VERBATIM AI QUOTES

“Second, I will highlight how our execution of the 3x3 Plan is translating into performance, including how advanced analytics and AI are increasing value and opportunity.”
— Gregory Case, Q1 FY2026

“We established ABS nearly a decade ago and deliberately stepped up our investment beginning in 2024 to embed AI and advanced analytics across the firm. These investments are delivering results, materially improving productivity and execution for clients.”
— Gregory Case, Q1 FY2026

“By year-end, we expect to have invested approximately $1.3 billion in talent and technology, enhancing productivity and strengthening our ability to better diagnose risk, design integrated solutions, access capital efficiently and execute consistently for our clients.”
— Gregory Case, Q1 FY2026

“Embedding AI into advanced analytics and modeling are making insurance more relevant by accessing new capital.”
— Gregory Case, Q1 FY2026

“A clear example of this dynamic is digital infrastructure, where AI computing is driving unprecedented global investment in data centers.”
— Gregory Case, Q1 FY2026

“Our data center life cycle insurance program, which we recently increased capacity by another $1 billion to $3.5 billion, allows our firm to lead as a market maker, bringing together the sort of coverage, large-scale capacity and capital solutions across the full life cycle of these assets.”
— Gregory Case, Q1 FY2026

“Here, again, our investment and progress in AI-embedded analytics is allowing us to expand beyond the $4.6 trillion of traditional reinsurance capital to access the $250 trillion capital pool that includes private equity, sovereign wealth and pension funds.”
— Gregory Case, Q1 FY2026

“Aon Broker Copilot illustrates how, through large language models and predictive capabilities, we can more efficiently embed advanced analytics directly into revenue-generating workflows and transform the manual placement process. The platform draws on decades of proprietary quoting, pricing and trading data to provide real-time insights to brokers as they negotiate complex placements.”
— Gregory Case, Q1 FY2026

“Aon Claims Copilot improves claims advocacy by consolidating data across geographies and lines of business, enabling better preparation, monitoring and negotiation.”
— Gregory Case, Q1 FY2026

“As a result of our advocacy over the last decade, we've been able to overturn and partially recover nearly $10 billion of financial value for claims that were initially denied. Claims Copilot strengthens our advocacy efforts and leads to even better outcomes for clients.”
— Gregory Case, Q1 FY2026

“For example, a 50% reduction in cycle time from 22 to 11 days for invoicing and 70% reduction in invoicing work, a 95% reduction in handle time and certificates of insurance from hours to less than 5 minutes and a 95% reduction in time in policy checks from 48 hours to 30 minutes.”
— Gregory Case, Q1 FY2026

“Critically, AI-driven productivity creates operating leverage. By lowering unit costs and reinvesting those gains into differentiation and growth, we're expanding margins while increasing the value we deliver to clients.”
— Gregory Case, Q1 FY2026

“We believe the net effect of technology adoption is an expansion of our addressable market.”
— Gregory Case, Q1 FY2026

“particularly as AI accelerates the shift from transaction-based models towards insight-led decision-making.”
— Edmund Reese, Q1 FY2026

“Our focus remains on the inputs we control: strategy, including growth investment in AI-embedded tools, execution and disciplined capital allocation.”
— Edmund Reese, Q1 FY2026

“construction grew at a double-digit rate and remains a contributor to growth as our data center revenue pipeline is on pace to be 3x higher than last year”
— Edmund Reese, Q1 FY2026

“Through ABS, we are structurally lowering our cost base by reducing technology costs, standardizing and automating processes, including the integration of NFP and embedding AI into our development and operational workflows.”
— Edmund Reese, Q1 FY2026

“which we believe increase the long-term earnings power and terminal value of the firm.”
— Edmund Reese, Q1 FY2026

“Our organic investments as part of the 3x3 Plan, $1.3 billion in talent and the AI-embedded capabilities that enable that talent to bring faster, deeper insight to clients”
— Edmund Reese, Q1 FY2026

“When executed well, it expands the addressable market by making risk transfer more relevant and increasing insured risk as a percentage of GDP, while also unlocking incremental AI-enabled opportunities to gain share with existing and prospective clients.”
— Edmund Reese, Q1 FY2026

“Retention was 50 basis points higher in Commercial Risk for the quarter. That's our analyzers helping with RFPs.”
— Edmund Reese, Q1 FY2026

“AI is not a strategy. Our strategy has been unbelievably strong and well proven. AI is a catalyst for it.”
— Gregory Case, Q1 FY2026

“We're on like Version 10 or more of the property analyzer.”
— Gregory Case, Q1 FY2026

“we had talked earlier about 5% to 15% productivity improvements. Those things are happening right now”
— Edmund Reese, Q1 FY2026

“ABS provides the foundation to deliver innovative solutions and deploy AI where it drives real value across our business.”
— Gregory Case, Q4 FY2025

“We expanded our risk analyzers, launched Aon Broker Copilot, and more recently, launched Claims Copilot.”
— Gregory Case, Q4 FY2025

“Our winning response showed the full capabilities of AI, including DCLP, advanced climate analytics, and proprietary risk analyzers, all aligned to the client's long-term growth strategy.”
— Gregory Case, Q4 FY2025

“our reinsurance team recently designed and placed the first-ever data center-specific treaty, delivering a solution that aligns up to $5 billion of capital through the insurance value chain behind a single leading insurer.”
— Gregory Case, Q4 FY2025

“We recently announced a billion-dollar expansion, increasing total capacity to $2.5 billion.”
— Gregory Case, Q4 FY2025

“last week at Davos, this was one of the primary discussion points, and it was really this and AI and how they fit together.”
— Gregory Case, Q4 FY2025

“In some respects, we're preparing for what we need now in order to deliver against this marketplace. So we're feeling good about that progress. It's one of the reasons we spent a billion dollars to accelerate it.”
— Gregory Case, Q4 FY2025

“We doubled down on an integrated AI-embedded capability, and we doubled down on risk capital and human capital.”
— Gregory Case, Q4 FY2025

“embedded in AI business services is an AI platform.”
— Gregory Case, Q4 FY2025

“this is probably, by the way, an AI platform at scale globally that no one else has.”
— Gregory Case, Q4 FY2025

“Everyone is going to talk about AI and job reduction. Don't we don't think about it that way. We think about it as how we amplify the talent we've got and help our clients navigate the path of the from-to as you embed this capability into their firms”
— Gregory Case, Q4 FY2025

“we expect 40 to 50 basis points of margin expansion from the operating leverage in the scalable ABS platform.”
— Edmund Reese, Q4 FY2025

“About the application's going into the cloud, 80% of them by the end of this year here. We now, to help drive revenue, have a full suite of analyzers in EMEA and the US given the investment that we've made as part of AAU.”
— Edmund Reese, Q4 FY2025

ANALYST QUESTIONS ON AI

Q (Q1 FY2026, Andrew Andersen (Jefferies)): There's been some broader industry discussion around broker commissions and fee levels. How are you thinking about this dynamic in the context of the value that you're delivering? And where do you see these trending?
A: Gregory Case: real opportunity... When you think about sort of how this plays into AI and all that we might talk about further on this call... we see a meaningful opportunity ahead with AI as a catalyst, driving and enhancing our strategy. Again, AI is not a strategy... AI is a catalyst for it... we expand addressable markets... the ultimate arbiter of truth here is clients.

Q (Q1 FY2026, Robert Cox (Goldman Sachs)): Edmund, I think you attributed some of the retention gains in Commercial Risk to the risk analyzers. I'd imagine it's also contributing to new business. How are you actually measuring the benefits from the risk analyzers? And can you just give us some color on adoption usage compared to the past in the various businesses?
A: Edmund Reese: measurable to look at the impact of when we use the analyzers and when we don't... we look at win rates, we look at renewals, and we look at new business... rolled out in the U.S., sort of mid-game in EMEA... Greg in his script mentioned us rolling out Broker Copilot as well... Gregory Case: not just the analyzers... revenue driven and service driven... We're on like Version 10 or more of the property analyzer.

Q (Q1 FY2026, Michael Zaremski (BMO Capital Markets)): In your prepared remarks, you talked about driving productivity improvements. Clearly, a lot of GenAI technology adoption that's being accelerated across your firm. Do you envision a future where Aon's productivity per employee could accelerate to much higher levels than historical levels? Or too soon to know? I guess I asked because one of your broker peers did offer kind of a very long-term North Star about productivity improvements that could be fairly material.
A: Gregory Case: incredibly excited about the possibilities of AI to reinforce... our strategy... already being seen... revenue enhancement... first and foremost, service enhancement second, and then productivity... you're not going to get success here in AI without an absolutely world-class people strategy... Edmund Reese: 5% to 15% productivity improvements... happening right now... economics showing up top line and bottom line... multiyear tailwinds... virtuous circle loop.

Q (Q1 FY2026, Elyse Greenspan (Wells Fargo)): Hoping just to size [data centers] a little bit to get a sense of the contribution to organic in Q1 and expectations for the next few quarters of the year.
A: Edmund Reese: data center was a part of the double-digit construction... pipeline... 3x higher than last year... wasn't the key driver of growth... Gregory Case: we're at the beginning of the beginning with tremendous promise ahead.

Q (Q4 FY2025, Matthew Harriman (Citi)): I'm curious whether or not we should think about market share in this new opportunity correlating at all with historical market share in historical data center builds.
A: Gregory Case: we doubled down on an integrated AI-embedded capability... We spent a billion dollars to accelerate it... tour de force analytics, the analyzers, the capability... tour de force reinsurance... tour de force commercial risk... The human capital application of this is going to be massive... how we amplify the talent we've got.

Q (Q4 FY2025, Charlie Lever (BMO)): On the incremental opportunities you identified with the upsizing of the AAU savings and with NFP... what's the pacing of these savings and how much is the 50 basis points you laid out for this year?
A: Gregory Case: embedded in AI business services is an AI platform... an AI platform at scale globally that no one else has... Edmund Reese: full suite of analyzers in EMEA and the US... ABS is the scalable foundation... expand margins in the near term and over the medium and long term.

Q (Q4 FY2025, Elyse Greenspan (Wells Fargo)): How much of a contributor were data centers to organic growth in Q4? And how would you expect... the tailwind from that opportunity to benefit your organic growth in 2026?
A: Gregory Case: last week at Davos... this and AI and how they fit together. This race is just beginning... Edmund Reese: construction... double-digit growth... data center contribution show up [there].