ACN · Accenture plc

Information Technology Services · mkt cap $114.6B · calls: Q3 FY2026 vs Q2 FY2026

51.0 conviction · conf-adj 50

conf 5/10 🚀 reported 1-model

enthusiasm:27.0 · trend:0 · quantifies:5 · impact:0 · under_radar:14 · credibility:5 · business_impact:8 · disruption:-14 · commitment:6 · confirmation:0

Enthusiasm latest 9 / prev 9 (flat)

Management’s AI thesis is that AI is expanding Accenture’s services demand, pulling through data/cloud/security work, and enabling new non-FTE revenue models via software, platforms, subscriptions, and partner-led offerings. Credibility improved because the latest call paired broad claims with concrete client ROI examples, but company-level AI revenue, margin, or EPS impact remains indirect rather than cleanly disclosed.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $69.7B · net income $7.7B · net margin 11.0% · diluted EPS 12.15

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

Aggregate next-FY est. rev uplift: 0.1698% · next-FY EPS uplift: 0.1698% · vs analysts: inline · priced in: low (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 %
Q3 advanced AI projects initiated engagement · soft	another 100 clients	100 clients disclosed, but no revenue/bookings per client or conversion rate; cannot map to $ impact.
AI/data partner bookings more than double revenue · soft	more than double FY2026 vs FY2025	No FY2025 AI/data partner bookings base disclosed; bookings also require next-FY revenue conversion, so no revenue uplift can be calculated.
Q3 AI projects lead to data projects engagement · soft	at least one out of every two	Using disclosed 100 Q3 AI-project clients, at least 50 could lead to data projects, but no $ per data project disclosed; no revenue/EPS impact calculable.
Cox lead accuracy engagement · soft	13%-97%	Client outcome improvement of 84 percentage points; no Accenture fee base or share-of-value mechanism disclosed.
Cox campaign speed productivity · soft	55%	Client speed-to-market improvement; no Accenture affected revenue, cost base, or gain-share disclosed.
Cox content productivity productivity · soft	40%	Client productivity improvement; no Accenture labor-cost base or monetization rate disclosed.
Bradesco vehicle financing growth engagement · soft	7.3% quarter-over-quarter	Client portfolio growth; no Bradesco portfolio dollar base or Accenture take-rate disclosed.
Cybersecurity services scale revenue	$700 million to $10 billion; 35% CAGR	$10.0B FY2025 cybersecurity revenue / $69.673B total revenue = 14.35% of current revenue, but this is historical/current scale, not incremental next-FY AI revenue; next-FY uplift = $0.	0	0
OT security TAM expansion other · soft	more than triples	TAM multiple disclosed, but starting OT-security TAM, share capture, timing, and revenue conversion are not disclosed.
Mid-market addressable market other · soft	$240 billion; growing high single digits	$240B TAM is 344.48% of Accenture current revenue, but TAM is not company revenue; no share-capture assumption disclosed.
Cybersecurity acquisition ARR revenue	$208 million ARR growing at 48%	$208M ARR * 48% growth = $99.84M incremental next-FY ARR; $99.84M / $69.673B revenue = 0.143%; @ current 11.0207% net margin -> $11.00M incremental NI / $7.678B NI = 0.143% EPS.	0.1433	0.1433
Q2 advanced AI projects initiated engagement · soft	another 100 clients or so	100 clients disclosed, but no revenue/bookings per client or conversion rate; cannot map to $ impact.
Q2 AI projects lead to data projects engagement · soft	at least 1 out of every 2	Using disclosed 100 Q2 AI-project clients, at least 50 could lead to data projects, but no $ per data project disclosed.
Q2 AI/data ecosystem bookings revenue · soft	more than double FY2026 over FY2025	No FY2025 AI/data ecosystem partner bookings base disclosed; bookings are not revenue and next-FY conversion is undisclosed.
AI and data professionals other · soft	over 85,000; goal of 80,000	85,000 professionals exceeds 80,000 goal by 5,000, or 6.25%, but no revenue/profit per professional or utilization delta disclosed.
Agentic AI training completion productivity · soft	192,000	192,000 completions disclosed, but no productivity lift, cost saving, or billable capacity conversion disclosed.
Training hours productivity · soft	13 million	13M training hours disclosed for the quarter, but no hourly cost, productivity benefit, or revenue conversion disclosed.
Ookla revenue model revenue	$231 million revenue; 430 employees; 8% year-over-year growth	$231M revenue * 8% growth = $18.48M incremental next-FY revenue; $18.48M / $69.673B revenue = 0.0265%; margin said accretive but not quantified, so default current 11.0207% margin -> $2.04M incremental NI / $7.678B NI = 0.0265% EPS.	0.0265	0.0265
Radisson direct bookings engagement · soft	tripled	Client direct-booking share tripled, but starting share, client booking volume, Accenture fee base, and monetization are undisclosed.
Software delivery speed productivity · soft	50% faster	Some client projects are 50% faster, but no affected Accenture delivery-cost base, pass-through to margin, or volume recapture disclosed.
C-suite survey AI value other · soft	78%	78% survey response indicates demand direction, but no spend base, conversion rate, or Accenture share disclosed.

Assumptions: Used current FY2025 revenue of $69.673B, net income of $7.678B, diluted shares of 632.435M, and current net margin of 11.0207% as default incremental margin where revenue is anchored but no margin is disclosed. Tax rate default of 21% would apply to explicit cost savings, but no anchored Accenture cost-saving dollar claim was disclosed. Bookings claims were not converted to revenue because no FY2025 bookings base or next-FY conversion schedule was disclosed. ARR growth was treated as next-fiscal-year incremental recurring revenue. Client outcome metrics were not monetized without an Accenture fee base or gain-share disclosure.

Top line: Only two adopter-side claims are arithmetically anchored for next-FY revenue: cybersecurity acquisition ARR adds $99.84M, or 0.1433% of revenue, and Ookla growth adds $18.48M, or 0.0265%. Total hard next-FY revenue uplift is $118.32M, or 0.1698% of current revenue.

Bottom line: At the current 11.0207% net margin, the $118.32M hard revenue uplift implies $13.04M incremental net income, or 0.1698% of current net income. Productivity claims like 50% faster delivery, 13M training hours, and 192,000 Agentic AI completions are not quantified against an Accenture cost base.

Consensus FY2026 revenue of $73.779B implies $4.106B growth versus FY2025, or 5.89%. The hard AI-related next-FY revenue uplift calculated here is only $118.32M, equal to 2.88% of that consensus revenue-growth dollars and 0.1698% of the current revenue base. Consensus FY2026 EPS of $13.856 implies 14.05% growth versus FY2025 EPS of $12.15, far above the hard calculated EPS uplift of 0.1698%. The larger AI narrative may be embedded in consensus, but management's quantified claims do not support a separate above-consensus uplift from the provided data.

MODEL CONSENSUS (impact)

1-model degraded to composer only

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QUANTIFICATIONS

Advanced AI projects initiated: another 100 clients (Q3 FY2026, topline)
“This quarter, we saw another 100 clients initiate advanced AI projects with us.”

Emerging AI and data partner bookings: more than double (FY2026 compared with FY2025, topline)
“We are also on track to more than double our bookings from our key emerging AI and data partners compared with FY 2025, including Anthropic, Databricks, Gemini, Mistral AI, Nvidia, OpenAI, Palantir, and Snowflake.”

Advanced AI projects leading to data projects: at least one out of every two (Q3 FY2026, topline)
“data remains a critical enabler with at least one out of every two advanced AI projects continuing to lead to a data project.”

Cox lead accuracy: 13%-97% (Q3 FY2026 client example, topline)
“Lead accuracy jumped from 13%-97%.”

Cox campaign speed to market: 55% (Q3 FY2026 client example, both)
“Campaign speed to market improved by 55%, and marketing content teams are 40% more productive, with capacity freed to drive further growth.”

Cox marketing content productivity: 40% (Q3 FY2026 client example, both)
“Campaign speed to market improved by 55%, and marketing content teams are 40% more productive, with capacity freed to drive further growth.”

Bradesco vehicle financing portfolio growth: 7.3% quarter-over-quarter (Q3 FY2026 client example, topline)
“Bradesco grew its vehicle financing portfolio 7.3% quarter-over-quarter, with the unified platform a key enabler of that performance.”

Cybersecurity services growth: $700 million to $10 billion; 35% CAGR (FY2016 to FY2025, topline)
“We have grown our services organically and inorganically over the last decade from roughly $700 million in FY 2016 to $10 billion in fiscal 2025, a 35% CAGR over the period, four times that of Accenture's over the same period.”

OT security TAM expansion: more than triples (Q3 FY2026 announced acquisitions, topline)
“This investment more than triples our total addressable market in OT security, which is growing double digit.”

Mid-market addressable market: $240 billion; growing high single digits (Q3 FY2026, topline)
“We estimate that the mid-market, which we look at as companies with between $300 million and $3 billion of revenue, is a $240 billion addressable market for us, growing high single digits.”

Cybersecurity acquisition ARR growth: $208 million ARR growing at 48% (Q3 FY2026, topline)
“That's $208 million ARR growing at 48%.”

Advanced AI projects initiated: another 100 clients or so (Q2 FY2026, topline)
“We also are seeing more moving from proof of concept to production, while others are still at the beginning of their journey with another 100 clients or so initiating advanced AI projects with us this quarter.”

Advanced AI projects leading to data projects: at least 1 out of every 2 (Q2 FY2026, topline)
“We continue to see at least 1 out of every 2 advanced AI projects lead to a data project.”

Emerging AI and data ecosystem partner bookings: more than double (FY2026 over FY2025, topline)
“And we are on track in FY '26 to more than double our bookings over FY '25 from partnerships with our key emerging AI and data ecosystem partners.”

AI and data professionals: over 85,000; goal of 80,000 (Q2 FY2026; by end of FY2026, topline)
“We now have over 85,000 AI and data professionals already exceeding our goal of 80,000 professionals by the end of fiscal 2026.”

Agentic AI training completion: 192,000 (Q2 FY2026, both)
“192,000 completed our Agentic AI fundamentals program, co-created with Stanford Institute for Human-Centered AI.”

Training hours: 13 million (Q2 FY2026 quarter, both)
“Our reinventors completed 13 million training hours this quarter alone, and 192,000 completed our Agentic AI fundamentals program, co-created with Stanford Institute for Human-Centered AI.”

Ookla revenue model and growth: $231 million revenue; 430 employees; 8% year-over-year growth (calendar year 2025, both)
“Ookla, with only 430 employees, generated $231 million of revenue in their calendar year 2025 through non-FTE subscription and licensing revenue models and an 8% year-over-year growth rate and with healthy margins accretive to Accenture.”

Radisson direct bookings: tripled (since collaboration began, topline)
“Since our collaboration began, Radisson's share of its direct bookings has tripled.”

Software delivery speed: 50% faster (Q2 FY2026 client example, bottomline)
“And some projects are already seeing delivery move 50% faster.”

C-suite survey on AI value: 78% (Q2 FY2026 latest survey, topline)
“The latest survey had 78% now saying we think growth is going to be the biggest value.”

PAST (realized)

Q3 FY2026, Julie Sweet: "This quarter, we saw another 100 clients initiate advanced AI projects with us."
Q3 FY2026, Julie Sweet: "Lead accuracy jumped from 13%-97%. Campaign speed to market improved by 55%, and marketing content teams are 40% more productive, with capacity freed to drive further growth."
Q3 FY2026, Julie Sweet: "Bradesco grew its vehicle financing portfolio 7.3% quarter-over-quarter, with the unified platform a key enabler of that performance."
Q2 FY2026, Julie T. Sweet: "We now have over 85,000 AI and data professionals already exceeding our goal of 80,000 professionals by the end of fiscal 2026."
Q2 FY2026, Julie T. Sweet: "Radisson's share of its direct bookings has tripled."
Q2 FY2026, Julie T. Sweet: "And some projects are already seeing delivery move 50% faster."

CURRENT (now)

Q3 FY2026, Julie Sweet: "We are starting to see clients who have more advanced digital cores move to larger AI transformation programs."
Q3 FY2026, Julie Sweet: "We are also seeing more clients move from pilots to production, and all of this is happening even as AI is still in the early innings."
Q3 FY2026, Julie Sweet: "We're embedding AI directly into the core of how they operate, building on their existing network intelligence, customer data, and service management platform."
Q2 FY2026, Julie T. Sweet: "Across many of these programs, AI and data are now central, sometimes as the destination and increasingly as part of the work from day 1."
Q2 FY2026, Julie T. Sweet: "AI is permeating everything we do because it either is driving why clients are actually doing things like moving to the cloud"
Q2 FY2026, Julie T. Sweet: "we are absolutely seeing an uptick in growth-focused AI programs, but efficiency is still leading the way."

FORWARD (guidance)

Q3 FY2026, Julie Sweet: "We believe that AI will be a tailwind for us and our industry as it scales, because it is a catalyst for reinvention and is creating new opportunities for growth and efficiency for our clients and for us."
Q3 FY2026, Julie Sweet: "We are also on track to more than double our bookings from our key emerging AI and data partners compared with FY 2025"
Q3 FY2026, Julie Sweet: "We believe this positions Accenture well for our next phase of growth."
Q2 FY2026, Julie T. Sweet: "We see AI as a tailwind because it's helping us win more today and take market share, and it is creating new opportunities for growth over time."
Q2 FY2026, Julie T. Sweet: "We believe that over the next 12 months or so, this opportunity will gain momentum."
Q2 FY2026, Julie T. Sweet: "AI, as it stands right now, may turn out to be the most powerful technology breakthrough since electricity."

TRACK RECORD — PROMISE vs DELIVERY

65/100 track record mixed 6 calls reviewed

Accenture has few quantified AI promises in these transcripts. The largest internal AI-capability target was delivered early, but a specific client AI launch milestone disappeared after its deadline, leaving a limited but mixed credibility record.

Increase data and AI workforce to 80,000 by the end of FY2026 — promised Q2 FY2025
delivered They reported 75,000 in Q3 FY2025, 77,000 in Q4 FY2025, nearly 80,000 in Q1 FY2026, and over 85,000 in Q2 FY2026, exceeding the target before year-end.

Launch the first AI-equipped ship before the end of 2025 through the Fincantieri/Navis Sapiens AI ecosystem — promised Q3 FY2025
quietly-dropped Later calls through Q3 FY2026 did not report the ship launch or update the milestone after the end-2025 window passed.

More than double FY2026 bookings versus FY2025 from key emerging AI and data ecosystem partners — promised Q2 FY2026
too-early In Q3 FY2026 management said they remained on track to more than double bookings from key emerging AI and data partners versus FY2025, but FY2026 had not ended yet.

PRICED-IN (REFINED)

LOW (room left)

Est. revisions falling · Fwd P/E 9.9 · EV/Sales 1.1x

AI claim maps to Consulting Revenue, Outsourcing Revenue

Analyst ratings are not migrating upward recently, with buy/strong-buy counts slipping from May to June and holds rising, while the last-month price target average is flat versus last quarter and well below the last-year average. Forward revenue and EPS growth are positive but modest, suggesting consensus is not baking in a sharp AI acceleration. At 9.9x forward EPS and about 1.1x EV/Sales, valuation is not stretched for a mature IT services company, so unlike a case with rising estimates, the AI upside does not look heavily priced in.

COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS

8Q2 FY20258Q3 FY202510Q4 FY202510Q1 FY20269Q2 FY202610Q3 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

AI evolved from strong GenAI bookings into a pervasive growth, delivery, talent, acquisition, and ecosystem strategy.

RECENT AI CATALYSTS & NEWS

2026-06-19 · TCS, Infosys lead Indian IT rout as Accenture sparks demand fears
2026-06-18 · Accenture Just Had Its Worst Day in Years. Is AI Coming for the Consulting Business?
2026-06-18 · Accenture: The Market Is Pricing-In An Existential Crisis
2026-06-18 · Accenture: The Market Is Mistaking Slow AI Adoption For AI Failure
2026-06-18 · Accenture Takes a Hit on Worsening Outlook and Cloudy AI Future
2026-06-18 · Accenture to Strengthen Critical Infrastructure Defense with End-to-End Cybersecurity Platform in Age of AI-Driven Cyber Threats and Geopolitical Risk

BUSINESS IMPACT - QUALITATIVE MATERIALITY

8/10 qualitative impact material medium-term · mixed evidence

Where AI matters: AI consulting, data/cloud/security pull-through, delivery productivity

AI is a real demand driver for Accenture, with more advanced AI projects, partner-led bookings growth, and data/security/cloud pull-through across core services. Still, most quantified evidence is client outcomes or bookings direction, not clean company-level revenue, margin, or EPS conversion.

Caveats: AI bookings may replace rather than add to legacy transformation work; Billable-hour compression could offset productivity gains if pricing resets lower; Company discontinued some granular AI revenue/bookings disclosure; Client pilots may not scale into durable high-margin managed work

AI DISRUPTION / CANNIBALIZATION RISK two-sided · 7/10

Accenture sells large amounts of labor-based consulting, outsourcing, systems integration, and managed services, and GenAI directly attacks the billable-hour intensity of coding, testing, process work, content, support, and BPO. The company can capture reinvention demand and shift to platforms/outcomes, but AI also structurally pressures pricing and labor volume in the core model.

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 $839M · beta 1.069 · px $127.98

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 trimming, management language 7/10 committed.

INSIDERS selling 10 open-market sell(s) vs 0 buy(s) — net distribution

INSTITUTIONS (13F) trimming as of 2026-03-31: 179 new / 382 closed positions; 948 increased / 992 reduced; institutional ownership +1.17pp; -204 net 13F holders

MGMT LANGUAGE 7/10 committed Concrete AI demand metrics and firm execution language, but still framed around scaling, early innings, and positioning.

commit “This quarter, we saw another 100 clients initiate advanced AI projects with us.”

commit “We are also on track to more than double our bookings from our key emerging AI and data partners compared with FY 2025”

hedge “We believe that AI will be a tailwind for us and our industry as it scales”

VERBATIM AI QUOTES

“We believe that AI will be a tailwind for us and our industry as it scales, because it is a catalyst for reinvention and is creating new opportunities for growth and efficiency for our clients and for us.”
— Julie Sweet, Q3 FY2026

“The major theme of all of these programs is that we are moving clients from using AI to running on AI.”
— Julie Sweet, Q3 FY2026

“This quarter, we saw another 100 clients initiate advanced AI projects with us.”
— Julie Sweet, Q3 FY2026

“We are also on track to more than double our bookings from our key emerging AI and data partners compared with FY 2025, including Anthropic, Databricks, Gemini, Mistral AI, Nvidia, OpenAI, Palantir, and Snowflake.”
— Julie Sweet, Q3 FY2026

“Cyber is a key enabler for AI. We cannot have an AI revolution without critical infrastructure, and you cannot have those without OT security, which is where today the world is most vulnerable.”
— Julie Sweet, Q3 FY2026

“A lot of our reinvention work today is helping clients get ready for AI, data remains a critical enabler with at least one out of every two advanced AI projects continuing to lead to a data project.”
— Julie Sweet, Q3 FY2026

“The result is automation replacing manual effort, faster speed to market, and significant cost savings and productivity gains that Bath & Body Works can reinvest directly into growth.”
— Julie Sweet, Q3 FY2026

“AIOps capabilities with autonomous agents will detect, route, and resolve incidents with self-healing that accelerates how quickly issues are resolved.”
— Julie Sweet, Q3 FY2026

“Lead accuracy jumped from 13%-97%. Campaign speed to market improved by 55%, and marketing content teams are 40% more productive, with capacity freed to drive further growth.”
— Julie Sweet, Q3 FY2026

“This is what AI ROI looks like in practice. Not a pilot, but a production-grade commercial engine delivering results at scale.”
— Julie Sweet, Q3 FY2026

“Our long-term growth strategy is to help our clients reinvent and to capture other new opportunities created by AI.”
— Julie T. Sweet, Q2 FY2026

“We now have over 85,000 AI and data professionals already exceeding our goal of 80,000 professionals by the end of fiscal 2026.”
— Julie T. Sweet, Q2 FY2026

“We see AI as a tailwind because it's helping us win more today and take market share, and it is creating new opportunities for growth over time.”
— Julie T. Sweet, Q2 FY2026

“We continue to see at least 1 out of every 2 advanced AI projects lead to a data project.”
— Julie T. Sweet, Q2 FY2026

“This quarter, Piraeus Bank S.A., a major bank in Greece, partnered with us to set up a central AI hub to be their primary execution arm with an option to transfer to them in the future.”
— Julie T. Sweet, Q2 FY2026

“AI, as it stands right now, may turn out to be the most powerful technology breakthrough since electricity.”
— Julie T. Sweet, Q2 FY2026

“The latest survey had 78% now saying we think growth is going to be the biggest value.”
— Julie T. Sweet, Q2 FY2026

“I will tell you that the most exciting area right now on growth is conversational and Agentic commerce. Demand is surging there.”
— Julie T. Sweet, Q2 FY2026

ANALYST QUESTIONS ON AI

Q (Q3 FY2026, Tien-Tsin Huang): Just why prioritize security as an enabler for AI versus other areas to win in AI?
A: Julie Sweet: "You can't have an AI revolution unless you have critical infrastructure and unless you secure when you start moving into physical AI, and you can't have that without OT security."

Q (Q3 FY2026, James Schneider): I was wondering if you maybe comment broadly on the client budgetary impact you're seeing from AI infrastructure spending and token spending specifically, in terms of upward pressure on their budgets.
A: Julie Sweet: "we have a whole practice that we're starting to grow now is on how to help clients optimize their use of tokens."

Q (Q3 FY2026, Dave Koning): Do you believe that there's actually underlying fundamental building of the AI demand?
A: Julie Sweet: "Absolutely, David, we see that building every quarter."

Q (Q3 FY2026, Jason Kupferberg): The consulting bookings growth was actually pretty strong in the quarter... what may be causing a bit of that disconnect?
A: Julie Sweet: "our clients are asking us to help them use AI and change the processes to do more change management to really embed new ways of working."

Q (Q3 FY2026, James Faucette): I'm wondering how we should think about this type of product-driven acquisitions.
A: Julie Sweet: "We're also continuing to do services acquisitions, but again, in the higher growth areas... where we see the biggest growth opportunities on the product side are in these areas that are being triggered by AI."

Q (Q2 FY2026, Jason Kupferberg): What kind of quantitative evidence should investors be looking at to help substantiate the view that Accenture is a net beneficiary of AI?
A: Julie T. Sweet: "today, we look at market share. We look at our overall growth. And then, the metrics we're giving you are the ones we're using, which is because everything is so tied to the big ecosystem, is our growth with that ecosystem outpacing overall growth, and then, how are we doing with the emerging players?"

Q (Q2 FY2026, Tien-Tsin Huang): Are you seeing any correlation? Or are you tracking this -- how these models and how they're improving and their capabilities improving and how that might impact your bookings growth and conversion to revenue?
A: Julie T. Sweet: "when the models come out, there isn't a direct correlation to bookings or new work, but what it does is create the next opportunity for us to look at what are the solutions that it's going to now create."

Q (Q2 FY2026, Tien-Tsin Huang): How would you characterize the mix of advanced AI work between growth or revenue-generating use cases against the efficiency-led use cases?
A: Julie T. Sweet: "we are absolutely seeing an uptick in growth-focused AI programs, but efficiency is still leading the way."

Q (Q2 FY2026, Kevin McVeigh): Just the expanding AI -- the expanding bookings with the newer partners you have, is there any way to think about how that is relative to kind of the existing pool and how that scales over time?
A: Julie T. Sweet: "we've got really strong growth, both with our large ecosystem partners and with the emerging partners."

Q (Q2 FY2026, Darrin Peller): Has there been any change in linearity that maybe you're seeing, particularly related to AI?
A: Julie T. Sweet: "we really have not had a linear relationship since around 2015, when RPA, when automation really came in. And so we would expect to continue to believe that disconnecting, and that's what's baked into our guidance."

Q (Q2 FY2026, Jonathan Lee): How do you respond to concerns that AI tools are compressing project time lines, relative rate cards and reducing the TAM for systems integration work?
A: Julie T. Sweet: "the more that we can use technology to bring more value to clients faster, the better it is for our business."

Q (Q2 FY2026, Sean Kennedy): How much of a productivity boost is Accenture seeing internally from these AI programs?
A: Julie T. Sweet: "Internally, we think about applying AI in our delivery, where we're continuing to improve our efficiencies in delivery, which has also helped fueling our growth."

Q (Q2 FY2026, David Koning): Do you think big clients... are early to spend on AI and big transformational projects?
A: Julie T. Sweet: "in the large enterprises, it just is a reflection of just how much reinvention they have to do and that AI is the catalyst for that."