← back to rankingEFX · Equifax Inc.
Consulting Services · mkt cap $21.2B · calls: Q1 FY2026 vs Q4 FY2025
66.0 conviction · conf-adj 62
conf 0/10 conflict
enthusiasm:27.0 · trend:0 · quantifies:5 · impact:0 · under_radar:5 · credibility:12 · business_impact:8 · disruption:0 · commitment:6 · confirmation:3
Enthusiasm latest 9 / prev 9 (flat)
Equifax presents AI as both a product-growth accelerator and an internal productivity engine, anchored in proprietary data that management argues cannot be accessed by external AI systems. The thesis is credible because management ties AI to concrete product metrics, model lift, development speed, and cost savings, though several revenue claims are bundled with cloud, data, and broader NPI execution rather than isolated AI-only attribution.
GROUNDED NEXT-FY IMPACT vs CONSENSUS
Grounded on actual base — revenue $6.1B · net income $0.7B · net margin 10.9% · diluted EPS 5.32
These are next-fiscal-year annual uplift estimates, not next-quarter numbers.
Aggregate next-FY est. rev uplift: 1.5% · next-FY EPS uplift: 4.45% · vs analysts: · priced in: medium · confidence: 0/10
| Claim | Figure | Arithmetic | Next-FY Rev % | Next-FY EPS % |
|---|
Full-year margin expansion ex-FICO 75 bps (FY2026), part AI-driven
cost | 75 bps | 0.0075 * $6,756M FY26 rev = $50.7M op income; after-tax @21% = $40.0M / $948.85M adj NI = 4.22% EPS. But blended (operating leverage + new products + AI productivity) and OVERLAPS the E3 cost-savings row, so NOT added into the aggregate — it is the consolidated reported outcome consensus already prices. | | 4.22 |
Workforce Solutions EBITDA margin 52.3%, +200 bps YoY, part AI-driven
cost · soft | +200 bps (Q1) | Q1-only segment margin; WS revenue base is NOT in the inputs, so the bps cannot be converted to $; also blended with higher revenue growth. No obtainable base -> not sized. | | |
400 AI-based patents pending/granted
other · soft | 400 patents | No revenue or cost figure attached; competitive moat signal only. | | |
Vitality Index 17% (Q1 FY26, record), tied to EFX.AI
revenue | 17% NPI share | Vitality rose 15%->record 17% (Q1). Assume FY26 full-year ~16%, i.e. +1pp new-product revenue share = +$67.6M on $6,756M; with most of NPI now AI-built (100% of new models), take ~$90M AI-influenced incremental new-product revenue = 90M/$6,074.5M = 1.48% rev. New products run higher margin -> use 25% incremental net margin: 90M*0.25 = $22.5M / $948.85M adj NI = 2.37% EPS. Attribution is an estimate (NPI would partly exist without AI). | 1.48 | 2.37 |
Innovation funnel quadrupled, dev cycle halved, launches up 2x (2025)
productivity · soft | 4x funnel / -50% cycle / 2x launches | Operational enabler that feeds the vitality/NPI topline; no separable $ figure of its own. | | |
100% of new models/scores built using EFX.AI (2025)
other · soft | 100% | Penetration context; no incremental $ attached. | | |
Year-3 NPI revenue up ~70% vs historical (2025)
revenue · soft | +70% | % improvement on an unstated per-cohort NPI base; lifts the durability of the NPI/vitality stream already sized in the Vitality row, no separable base to size independently without double-counting. | | |
E3 AI operations: $75M annual cost savings over next 3 years
cost | $75M run-rate | DISCLOSED $ figure. Run-rate is a 3-year target, not next-FY. Linear ~1/3 ramp -> ~$25M in FY2026; after-tax @21% = $19.75M / $948.85M adj NI = 2.08% EPS next FY. Full $75M run-rate (FY28) after-tax = $59.25M = 6.24% EPS. Topline ~0. | | 2.08 |
EFX.AI models ~30% lift over legacy models (2025)
other · soft | ~30% lift | Model-performance/competitiveness metric; supports win rates but no direct $ conversion. | | |
New products launched using efx.ai up 3x since 2023
revenue · soft | 3x | Launch-count trend feeding the NPI/vitality topline already sized; no standalone base. | | |
~90% of staff using Google Gemini AI day-to-day (Q4 FY25)
productivity · soft | ~90% adoption | Adoption metric that feeds the E3 cost-savings line; no separable $. | | |
~1,900 engineers on AI coding tools, >1M lines generated (Q4 FY25)
productivity · soft | 1,900 eng / 1M lines | Engineering-productivity enabler folded into the E3 cost-savings target; no independent $ figure. | | |
FY2025 Vitality 15% = ~$900M new product revenue
revenue | 15% / ~$900M | DISCLOSED base: establishes the $900M = 15%-of-revenue NPI level used to size the forward Vitality row. This is the prior-year LEVEL, not an increment, so its own next-FY rev/eps uplift is carried in the Vitality-17% row, not added again here. | | |
Assumptions: Tax rate 21%. EPS uplift sized against the ADJUSTED earnings base consensus uses ($948.85M FY25 adj NI / EPS $7.62), NOT GAAP ($660.3M / $5.32) which would inflate every %. E3 $75M is a 3-year run-rate target -> linear 1/3 (~$25M) attributed to next FY (FY2026); full run-rate noted separately. NPI topline: assume FY26 full-year vitality ~16% (record 17% in Q1), i.e. +~1pp new-product revenue share ~$90M AI-influenced incremental, flowed at a 25% incremental net margin (mgmt says new products are higher-margin). The 75bps consolidated margin guide is blended (operating leverage + new products + AI) and overlaps E3, so it is shown for reference but excluded from the aggregate to avoid double-counting; the bottom-up E3+NPI (~4.45% EPS) coincidentally ~ the 75bps guide (~4.22% EPS), a sanity check on order of magnitude. EFX is a pure AI ADOPTER (no AI-compute/silicon/infra sold), so supplier-side = 0.
Top line: Adopter-side. AI shows up in the NPI/vitality engine (100% of new models built with EFX.AI, record 17% Vitality) and in opex (E3 $75M run-rate, ~90% staff on Gemini, 1,900 engineers on AI coding). Modeled next-FY: ~1.5% revenue and ~4.45% adj-EPS uplift (NPI ~2.37% + E3 ramp ~2.08%), broadly consistent with the 75bps margin guide. No AI compute/infra sold, so supplier-side impact is zero.
Bottom line:
MODEL CONSENSUS (impact)
conflict
X returned an empty analysis; Y supplied fully-worked, quote-grounded arithmetic. Consensus adopts Y in full as the sole defensible answer.
Conflicts reconciled
- math: X=[] (empty, no analysis) vs Y=13 sized claims -> used Y because X provided no arithmetic or evidence while Y is grounded in disclosed figures
- est_eps_uplift_pct: X=absent vs Y=4.45 -> used Y
- est_rev_uplift_pct: X=absent vs Y=1.5 -> used Y
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | 1.5 | – |
| EPS uplift % | 4.45 | – |
| Priced in | high | – |
| vs analysts | inline | – |
| Confidence | 6 | – |
| Top line | Adopter-side. AI shows up in the NPI/vitality engine: 100% of new models built on EFX.AI, funnel quadrupled, launches up 2-3x, and a record 17% Q1 vitality vs 15%/~$900M in FY25. Sizing the forward increment (~+1pp of revenue share ~$90M) gives ~1.5% AI-attributable revenue uplift. None of it is supplier-side compute/silicon revenue — it is Equifax's own products selling better. | – |
| Bottom line | The hard lever is the E3 AI-operations program: a disclosed $75M annual run-rate cost-savings target. Phased ~1/3 into FY26 (~$25M, after-tax ~$19.75M) that is ~2.1% of adjusted EPS next year, building to ~6.2% at full run-rate (FY28). Plus the higher-margin NPI flow (~$22.5M after-tax, ~2.4% EPS) -> aggregate ~4.4% adopter EPS uplift. This is corroborated by, and largely embedded in, the 75bps consolidated margin-expansion guide (~4.2% EPS if fully attributed) which itself blends operating leverage and non-AI drivers. | – |
| Reasoning | Consensus already prices the trajectory mgmt attributes to AI: FY26 revenue $6,756M = +11.2% over $6,074.5M, and FY26 adj EPS $8.61 = +13.0% over FY25 $7.62, with FY27 EPS +19% more. My AI-attributable estimates (rev +1.5%, EPS +4.4%) sit well INSIDE those consensus growth rates — and management explicitly ties the same NPI/vitality and 75bps margin expansion to AI 'among other drivers.' So the AI contribution is real but captured, not incremental to the Street. The only piece not yet fully in the out-years is the E3 ramp to a $75M run-rate (~6% of earnings by FY28), but consensus FY27's +19% EPS already assumes continued margin expansion. Net: AI supports, rather than beats, the curve. | – |
Rows highlighted where the two models disagreed.
QUANTIFICATIONS
Full-year margin expansion ex-FICO from AI-driven productivity among other drivers: 75 basis points (FY2026, bottomline)
“We also expect to deliver strong full year margin expansion, excluding FICO of 75 basis points from operating leverage of strong top line growth, higher margin new products and AI-driven productivity.”
Workforce Solutions EBITDA margin expansion from AI-driven productivity among other drivers: 52.3%; up 200 basis points versus last year (Q1 FY2026, bottomline)
“Workforce Solutions EBITDA margins of 52.3% were very strong and up 200 basis points versus last year from operating leverage from higher revenue growth and AI-driven productivity, while continuing to invest in new products, government and record additions.”
AI-related patent portfolio: over 40 in 2025; 10 in Q1; 400 pending or granted (2025 and Q1 FY2026, topline)
“As a reminder, we added over 40 EFX.AI-based patents in 2025 and 10 more AI-based patents in the first quarter for a total of 400 pending or granted AI-based patents as we continue to invest in differentiated explainable AI capabilities at Equifax.”
NPI Vitality Index tied to EFX.AI and proprietary data: 17% (Q1 FY2026, topline)
“In the first quarter, our Vitality Index of 17% was at record levels and reflects the focused execution of our teams in driving customer-focused growth through accelerated innovation based on advanced EFX.AI, leveraging our proprietary data assets.”
AI-enabled innovation funnel and development cycle: quadrupled; reduced by half; up 2x (2025, topline)
“With more efficient cloud-native technology, leveraging global platforms and EFX.AI, we have quadrupled the number of products in our innovation funnel and reduced product development life cycles by half resulting in a record level of new products launched in 2025, which is up 2x over historic levels.”
Models and scores built using AI: 100% (2025, topline)
“100% of our new models and scores in 2025 were built using EfX.AI.”
Year 3 NPI revenue improvement: up about 70% (2025, topline)
“And last, we're seeing higher performing products with year 3 NPI revenue up about 70% in '25 over historical levels.”
Internal AI operations cost savings: $75 million of annual cost savings (Over the next three years, bottomline)
“Over the next three years, we expect to drive towards $75 million of annual cost savings from our E3 AI operations initiative.”
AI model lift over legacy models: nearly 30% lift (2025, topline)
“Our efx.ai models consistently delivered industry-leading performance, an outstanding nearly 30% lift over legacy models last year.”
New products launched using efx.ai: up 3x since 2023 (Since 2023, topline)
“The number of new products launched using efx.ai is up 3x since 2023.”
Employee adoption of AI: almost 90% of our team (Q4 FY2025, bottomline)
“We're driving AI deep into the organization with almost 90% of our team leveraging Google Gemini AI in their day-to-day roles.”
AI coding productivity: about 1,900 software engineers; over a million lines of code (Q4 FY2025, bottomline)
“We are also getting more software output from the same engineering investment with about 1,900 Equifax software engineers using AI coding tools that have generated over a million lines of code using AI.”
AI-driven new product revenue context: 15%; about $900 million (FY2025, topline)
“Equifax had another very strong year of NPI rollouts with a record 2025 Equifax vitality index of 15%, which was 500 basis points above our long-term 10% goal and equates to about $900 million of new product revenue during the year.”
PAST (realized)
- Q1 FY2026, Mark Begor: "The strong EBITDA margins were driven by strong operating leverage, mortgage flow-through and AI-driven cost productivity."
- Q1 FY2026, Mark Begor: "As a reminder, we added over 40 EFX.AI-based patents in 2025 and 10 more AI-based patents in the first quarter for a total of 400 pending or granted AI-based patents as we continue to invest in differentiated explainable AI capabilities at Equifax."
- Q1 FY2026, Mark Begor: "With more efficient cloud-native technology, leveraging global platforms and EFX.AI, we have quadrupled the number of products in our innovation funnel and reduced product development life cycles by half resulting in a record level of new products launched in 2025, which is up 2x over historic levels."
- Q1 FY2026, Mark Begor: "100% of our new models and scores in 2025 were built using EfX.AI."
- Q1 FY2026, Mark Begor: "And last, we're seeing higher performing products with year 3 NPI revenue up about 70% in '25 over historical levels."
- Q4 FY2025, Mark Begor: "In 2025, we launched 100% of our new models and scores powered by efx.ai."
- Q4 FY2025, Mark Begor: "Our efx.ai models consistently delivered industry-leading performance, an outstanding nearly 30% lift over legacy models last year."
CURRENT (now)
- Q1 FY2026, Mark Begor: "Equifax' scale and proprietary data along with our cloud-native global technology platforms that include implementation of leading AI and ML capabilities is at the center of our momentum on new product innovation that has delivered accelerating NPIs and driven our NPI Vitality Index to almost 14% over the past 3 years."
- Q1 FY2026, Mark Begor: "Recently, we launched Ignite AI adviser for auto, an AI platform that provides lenders with instant plain English analytics, benchmarking and automated insights alongside conversational agents for deeper exploration by our customers."
- Q1 FY2026, Mark Begor: "Equifax is on offense with AI."
- Q4 FY2025, Mark Begor: "AI is fundamentally changing how we operate from technology to data analytics, products operations, and across Equifax."
- Q4 FY2025, Mark Begor: "We're driving AI deep into the organization with almost 90% of our team leveraging Google Gemini AI in their day-to-day roles."
- Q4 FY2025, Mark Begor: "We are also getting more software output from the same engineering investment with about 1,900 Equifax software engineers using AI coding tools that have generated over a million lines of code using AI."
FORWARD (guidance)
- Q1 FY2026, Mark Begor: "We also expect to deliver strong full year margin expansion, excluding FICO of 75 basis points from operating leverage of strong top line growth, higher margin new products and AI-driven productivity."
- Q1 FY2026, Mark Begor: "We expect to launch similar solutions in cards and personal loan portfolios this year while integrating advanced synthetic and credit abuse fraud detection."
- Q1 FY2026, Mark Begor: "As EFX.AI advances, we'll leverage our new global cloud infrastructure, combined with our [ agentic ] AI and Google Vertex AI capabilities and proprietary data to deliver higher-performing analytical solutions at an accelerating pace, positioning these advanced analytical solutions for more customers."
- Q4 FY2025, Mark Begor: "As we move through last year, we also leveraged our industry-leading cloud-native technology and efx.ai to drive operational efficiencies across Equifax through our new internal AI for Equifax initiative, which we expect to deliver cost savings, efficiencies, speed, and accuracy across Equifax in 2026 and beyond."
- Q4 FY2025, Mark Begor: "Over the next three years, we expect to drive towards $75 million of annual cost savings from our E3 AI operations initiative."
- Q4 FY2025, Mark Begor: "Following the successful U.S. rollout, we are introducing our new Ignite AI Advisor in our global markets in 2026."
TRACK RECORD — PROMISE vs DELIVERY
79/100 track record delivers 6 calls reviewed
Equifax's quantified AI-linked promises center on its NPI/Vitality Index (new products built almost entirely on EFX.AI models), and management has consistently met or beaten them — raising Vitality guidance repeatedly to a record 15% and hitting 100% AI-built models in 2025. The main blemish is product-timing slippage, with the TWN personal-loan rollout deferred from late 2025 to early 2026.
Equifax Vitality Index above the 10% long-term goal again in 2025, with new products built almost entirely on EFX.AI — promised Q4 FY2024
delivered Delivered and beat — 2025 Vitality hit a record 15% (~$900M new-product revenue), with guidance raised three times during the year.
Continue scaling AI-built models/scores from 95% of new models in 2024 toward full adoption — promised Q4 FY2024
delivered Hit 100% of new models and scores powered by EFX.AI in 2025, up from 95% (2024) and 70% (2023).
Raise 2025 Vitality outlook to 12% on strong first-half AI-powered NPI performance — promised Q2 FY2025
delivered Beaten — full-year 2025 Vitality came in at a record 15%, well above the raised 12% target.
Launch TWN-powered auto and personal-loan credit solutions in 2H 2025 — promised Q2 FY2025
partial Auto credit file with TWN indicator launched on time in Q3 2025; personal-loan products slipped to early 2026.
Raise 2025 Vitality guidance to 13% after a record 16% Q3 Vitality — promised Q3 FY2025
delivered Q4 FY2025 reported full-year 2025 Vitality of 15%, exceeding the 13% target.
~$30M/year of ongoing cost savings by late 2026 from AI-driven restructuring/efficiency — promised Q3 FY2025
too-early Timeframe not reached, but Q1 FY2026 already cites 'AI-driven cost productivity' aiding an 80bps margin beat — trending positive.
PRICED-IN (REFINED)
MEDIUMEst. revisions flat · Fwd P/E 23.1 · EV/Sales 4.2x
AI claim maps to Workforce, United States Consumer Information Solutions, International
Ratings have improved only modestly since January and are broadly stable recently, while price-target data does not show upward momentum because the last-quarter average is below the last-year average. Consensus already embeds solid revenue and EPS growth through 2027, but the revision signal is not clearly rising. Valuation is rich for a mature data and analytics business at 23.1x forward EPS and 4.2x EV/sales, so AI upside in Workforce and credit-information segments looks partly priced in despite flat revisions.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
8Q4 FY20247Q1 FY20257Q2 FY20257Q3 FY20259Q4 FY20259Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
AI evolved from model-building and cloud-enabled products into patented explainable AI, customer lift, and measurable cost productivity.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
8/10 qualitative impact material near-term · mixed evidence
Where AI matters: credit models, verification products, NPI, cost productivity
AI is embedded in core Equifax model and score development, new-product velocity, explainable analytics, and operating productivity, with 100% of new models built using EFX.AI, record Vitality metrics, and a targeted $75M annual cost-savings run-rate. The upside is credible but still partly bundled with cloud migration, proprietary data, and broader NPI execution rather than clean AI-only revenue attribution.
Caveats: AI contribution is blended with cloud, NPI, and operating leverage claims; Regulatory or privacy constraints could slow AI product deployment; Some verification and HR services workflows may face automation-driven pricing pressure; Management enthusiasm is high, so attribution discipline matters
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 2/10
AI may automate some manual verification workflows, but Equifax's core economics depend on proprietary, permissioned credit, income, employment, and payroll-linked data rather than generic software or labor hours. External AI cannot easily recreate regulated data access, contributor networks, or permissible-purpose workflows, so the model looks more protected than cannibalized.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $292M · beta 1.347 · px $176.11
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 21 open-market sell(s) vs 1 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 132 new / 165 closed positions; 453 increased / 279 reduced; institutional ownership +5.12pp; -29 net 13F holders
MGMT LANGUAGE 8/10 committed Management ties AI directly to margins, products, patents and guidance, with limited hedging around continued investment.
commit “The strong EBITDA margins were driven by strong operating leverage, mortgage flow-through and AI-driven cost productivity.”
commit “we added over 40 EFX.AI-based patents in 2025 and 10 more AI-based patents in the first quarter”
commit “We expect strong execution from EFX.AI-driven new products and customer share gains”
VERBATIM AI QUOTES
“The strong EBITDA margins were driven by strong operating leverage, mortgage flow-through and AI-driven cost productivity.”
— Mark Begor, Q1 FY2026
“The team also continued to execute very well against our EFX2028 strategic priorities in the quarter by leveraging EFX.AI-based solutions built on our cloud-native infrastructure to drive innovation, new products and growth.”
— Mark Begor, Q1 FY2026
“As a reminder, we added over 40 EFX.AI-based patents in 2025 and 10 more AI-based patents in the first quarter for a total of 400 pending or granted AI-based patents as we continue to invest in differentiated explainable AI capabilities at Equifax.”
— Mark Begor, Q1 FY2026
“We also expect to deliver strong full year margin expansion, excluding FICO of 75 basis points from operating leverage of strong top line growth, higher margin new products and AI-driven productivity.”
— Mark Begor, Q1 FY2026
“Workforce Solutions EBITDA margins of 52.3% were very strong and up 200 basis points versus last year from operating leverage from higher revenue growth and AI-driven productivity, while continuing to invest in new products, government and record additions.”
— Mark Begor, Q1 FY2026
“Our new products such as continuous evaluation for SNAP built using EFX.AI that we launched in the first quarter have already delivered strong results for a few states by identifying errors within their beneficiary population.”
— Mark Begor, Q1 FY2026
“90% of Equifax revenue is generated from proprietary data sources, including our income and employment exchanges in the U.S. U.K., Canada, Australia, our U.S. and international consumer and commercial credit exchanges and our alternative data sets, including our NCTUE, telco and utility exchange in the U.S.”
— Mark Begor, Q1 FY2026
“Equifax' scale and proprietary data along with our cloud-native global technology platforms that include implementation of leading AI and ML capabilities is at the center of our momentum on new product innovation that has delivered accelerating NPIs and driven our NPI Vitality Index to almost 14% over the past 3 years.”
— Mark Begor, Q1 FY2026
“With more efficient cloud-native technology, leveraging global platforms and EFX.AI, we have quadrupled the number of products in our innovation funnel and reduced product development life cycles by half resulting in a record level of new products launched in 2025, which is up 2x over historic levels.”
— Mark Begor, Q1 FY2026
“100% of our new models and scores in 2025 were built using EfX.AI.”
— Mark Begor, Q1 FY2026
“And last, we're seeing higher performing products with year 3 NPI revenue up about 70% in '25 over historical levels.”
— Mark Begor, Q1 FY2026
“Recently, we launched Ignite AI adviser for auto, an AI platform that provides lenders with instant plain English analytics, benchmarking and automated insights alongside conversational agents for deeper exploration by our customers.”
— Mark Begor, Q1 FY2026
“As EFX.AI advances, we'll leverage our new global cloud infrastructure, combined with our [ agentic ] AI and Google Vertex AI capabilities and proprietary data to deliver higher-performing analytical solutions at an accelerating pace, positioning these advanced analytical solutions for more customers.”
— Mark Begor, Q1 FY2026
“Equifax is on offense with AI.”
— Mark Begor, Q1 FY2026
“In 2025, with 90% of our revenue in the new Equifax cloud, we pivoted from building to leveraging the cloud and accelerating our use of AI in new products.”
— Mark Begor, Q4 FY2025
“In 2025, we launched 100% of our new models and scores powered by efx.ai.”
— Mark Begor, Q4 FY2025
“These new AI models and scores drive strong incremental lift versus traditional non-AI models and scores.”
— Mark Begor, Q4 FY2025
“As we move through last year, we also leveraged our industry-leading cloud-native technology and efx.ai to drive operational efficiencies across Equifax through our new internal AI for Equifax initiative, which we expect to deliver cost savings, efficiencies, speed, and accuracy across Equifax in 2026 and beyond.”
— Mark Begor, Q4 FY2025
“The proprietary and unique nature of our data is a huge asset for Equifax in this new AI environment as only Equifax can utilize the data for customer solutions and new products using our advanced AI capabilities.”
— Mark Begor, Q4 FY2025
“AI is fundamentally changing how we operate from technology to data analytics, products operations, and across Equifax.”
— Mark Begor, Q4 FY2025
“We're driving AI deep into the organization with almost 90% of our team leveraging Google Gemini AI in their day-to-day roles.”
— Mark Begor, Q4 FY2025
“We are also getting more software output from the same engineering investment with about 1,900 Equifax software engineers using AI coding tools that have generated over a million lines of code using AI.”
— Mark Begor, Q4 FY2025
“Over the next three years, we expect to drive towards $75 million of annual cost savings from our E3 AI operations initiative.”
— Mark Begor, Q4 FY2025
“The number of new products launched using efx.ai is up 3x since 2023.”
— Mark Begor, Q4 FY2025
“Our efx.ai models consistently delivered industry-leading performance, an outstanding nearly 30% lift over legacy models last year.”
— Mark Begor, Q4 FY2025
“Our new EFX cloud foundation is giving EFX an AI advantage in innovation, new products, technology development, operations, and really across every corner of Equifax.”
— Mark Begor, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Manav Patnaik): You also mentioned using Ignite and some of your other analytical tools. I was just wondering how connected or packaged is those Ignite and analytic tools to the data? Just trying to appreciate if you -- how you think of the potential disruption risk to the software side of things, which is the big market talk right now?
A: As you know, the so-called software is a small part of our business. It's one we certainly invest in, particularly for our -- broadly our mid-market customers that don't have larger tech platforms that they can use to ingest our data. But we sell data. We sell scores, we sell models, we sell products. That's the vast, vast majority of our revenue. We're very, very small in the revenue from software sales. And we really have our investments in Ignite and interconnect really to facilitate the sales of our data. We don't really view it as a way that we deliver our data to market.
Q (Q1 FY2026, Ashish Sabadra): And if I can ask a question around agentic AI, one of the concerns that we've heard is agentic AI could potentially displace manual verification. And just given that manual verification is one of the key competition in your verification business, how does -- one of the questions that we get is how does the technology shift, if any, Equifax, again, positioning in the verification business?
A: We think it's pretty hard because, as you know, that's all proprietary data. You're talking about income and employment data is proprietary in our data set, and it's all permissioned by permissible purpose because of the Fair Credit Reporting Act solution. And then the contributors, we have almost 5 million companies now contributing data to us every pay period, it's proprietary in their data set or with their payroll process or HR software company. So it has to be consumer permission. There's a lot of friction with that. I don't -- we don't see how AI can really facilitate that consumer permissioning to access that data because the data is not available anywhere in the worldwide web. It's all in proprietary house environments, including Workforce Solutions at Equifax.
Q (Q4 FY2025, Jeff Meuler): Mark, loud and clear, you've been front-footed on AI, both from a product and productivity perspective, and it sounds like you also have an AgenTeq AI platform in-house. Obviously, you have a massive data advantage, in employment and income today. I know it's still relatively early, on a GenTech AI, just how do you think about the applicability of AgenTek AI to the employment and income business given that a lot of the market is still manual I guess, both from an opportunity or a potential risk perspective?
A: With regards to using AI in workforce solutions, we're doing a lot around our employer business where we, as you know, deliver regulated services to HR managers, things like i9, validations for new employees, unemployment claims management, work opportunity tax credit. We see big opportunities both in how we deliver those services from an AI perspective to the HR managers and their teams, but also how we actually complete the processes, you know, using AI in the paper processing to really drive productivity, speed, and accuracy.