Setting the Pace: What Accenture, Deloitte and Infosys Signal for Professional Services in 2027

Across the professional services spectrum, from strategy consulting through systems integration and managed IT services, competitors frequently emulate the approaches and investment decisions of three stand-out companies: Accenture, Deloitte and Infosys. That is not marketing spin on their behalf but rather a reflection of the questions we field from our clients, including the cloud, software, hardware and AI partners of these companies and their peers.
 
As part of TBR’s ongoing research on and analysis of consultancies and IT services companies, our quarterly and semiannual reports include scenarios that expand on the market trends, business model shifts, investments, and portfolio and leadership changes that underpin the performance data and shed light on what is coming next. This special report looks at trends across Accenture, Deloitte and Infosys over the last year and highlights commonalities, positioning for 2027, and outliers that may indicate the direction of these companies and their peers.
 
First, the basics: In 2Q26 Accenture generated $18.72 billion in quarterly revenue, up 5.6% year-to-year, covering its fiscal third-quarter results. TBR estimates Deloitte’s FY26 annual services revenue reached an estimated $46.9 billion, up 6.4%, reflecting just the services business covered by TBR, not Deloitte’s total global revenue. Infosys generated $5.1 billion in 2Q26 revenue, up 2.9%.
 
TBR’s individual company reports include detailed data and estimates across service lines, geographies and industries, and TBR’s benchmarks use proprietary data and taxonomies to allow for direct comparisons between more than 30 IT services companies and management consultancies.

Show me some ROI: Growing pressure to turn AI investment into measurable operational results

In TBR’s research, IT services and consulting buyers want AI to be integrated into business workflows and expect they will be able to demonstrate returns on their investment while sustaining AI adoption beyond a pilot project. These are not new or unreasonable demands, but the pressure has been mounting after a couple years of AI hype.

• Accenture addresses this through governed agentic AI and physical AI, using manufacturing and infrastructure engagements to demonstrate improvements in downtime, quality and operational efficiency. In TBR’s view, Accenture is the best positioned vendor to capture the broadest opportunity as it combines business transformation capabilities with industrial execution, ecosystem reach and proven delivery at scale.
• Deloitte approaches the same demand through cybersecurity and its emerging physical AI portfolio, where trust, resilience and operational safety create opportunities for its consulting expertise.
• Infosys embeds AI into modernization and managed services engagements, while acquisitions such as Optimum Healthcare IT and Stratus strengthen its ability to address industry-specific requirements. In TBR’s view, Infosys’ push to help clients fund AI through modernization budgets provides a useful near-term revenue boost.

Enterprise buyers have tired of technology promises. That fatigue appeared before 4Q22 (when ChatGPT arrived) but was tamped down a bit in the frenzy around generative AI (GenAI) and the FOMO (fear of missing out) associated with AI adoption in 2023 and 2024. Spiraling costs and ill-defined ROI have cooled enterprise buyers’ enthusiasm and focused their buying decisions. Accenture, Deloitte and Infosys appear to have recalibrated how they position their AI offerings to reflect that new buyer mood.

The robots have not taken over, yet: AI-enabled delivery and commercial models still depend on humans

AI promises productivity improvements by off-loading repeatable, mundane tasks to algorithms and robots. If an IT services company or consultancy can do things faster with AI and automation, clients can reasonably expect their time-and-materials bill will decline. Accenture, Deloitte, Infosys and all their peers now find themselves — or, really, have found themselves since at least mid-2023 — challenged with managing the cannibalization that their AI investments may be bringing to their traditional IT services. What to do?

• Accenture increasingly invests in proprietary assets and uses Reinvention.AI to make institutional knowledge reusable across delivery. Notably, Accenture has progressed from uncertainty about its appetite for software sales in 4Q25 toward a clearer emphasis on asset ownership and revenue growth without proportional headcount expansion.
• Deloitte uses Operate and cybersecurity to explore recurring services and risk-sharing arrangements, including multiple delivery options for its Anthropic-enabled secure software platform.
• Infosys pursues similar economics through Topaz Fabric, AI-enabled global capability centers and frontier engineers, but its unchanged 54% fixed-price revenue share and declining ©Human Intensity Reduction Index (HIRI) in 2Q26 indicate that commercial and workforce transformations remain gradual.

TBR’s HIRI proves useful in comparing these three companies on the effects of internal AI adoption on their performance, specifically as it relates to productivity and generating profitable dollars with the same or fewer people. In TBR’s research, Accenture’s simultaneous improvement in HIRI and operating margin provide an encouraging early signal that the company will lead in pivoting toward the right commercial model to meet the AI age.
 
Deloitte has a particularly promising opportunity within cybersecurity, where continuous, measurable work can support new pricing structures if the firm controls customization and contractual risk (notably, TBR has not yet published a HIRI for Deloitte and its Big Four peers). TBR’s analysis of Deloitte’s resource management strategy and HIRI calculations suggest the firm’s strategy is shifting toward restructuring the talent pyramid for an AI-enabled, Operate-led consulting model.
 
Deloitte is moving in two directions simultaneously: tightening the traditional consulting workforce in slower markets while expanding lower-cost and tech-heavy delivery capacity in growth hubs. If Deloitte can industrialize AI-enabled delivery, offshore talent, job-family specialization and Operate capacity, it can protect margins while winning larger, outcome-based transformation deals. If not, Deloitte risks drifting toward a labor-leverage model where more consultants, fewer partner touch points and pricing pressure make it look less like a differentiated strategy adviser and more like a scaled implementation and managed services provider. With Deloitte’s HIRI hovering around 0%, the firm appears to still lean more on a labor-arbitrage delivery model.
 
Although Infosys’ HIRI has improved since the dawn of ChatGPT, the metric has continued to slide since its peak in late 2024, declining 30 basis points sequentially in 2Q26. The biggest challenge for Infosys will be maintaining service quality and creating enough volume even if its net headcount addition remains flat rather than in decline due to AI, as many expect. With Infosys’ HIRI staying relatively flat over the last couple of quarters and revenue growth decelerating, delivering or exceeding operating margin in line with its guidance will remain the key way to satisfy impatient shareholders.

The ecosystem challenge: Who controls AI deployment and who owns the client?

Every IT services company and consultancy needs a well-curated ecosystem of hyperscalers, model providers and enterprise software vendors, but those partners increasingly offer capabilities that overlap with services work. This age-old threat, which TBR covered in detail in a separate special report, has always been more about opportunistic wins by technology companies and offerings that stayed close to the box (i.e., highly dependent on the technology itself).
 
AI may change the calculus by allowing technology companies to profitably offer services, especially as AI-enabled solutions reduce the need for humans (see previous section). Currently, TBR sees this threat as marginal, not existential, but that could change as soon as the end of 2027.

• Accenture has responded to this growing threat by combining extensive partnerships with greater ownership of domain assets, data and orchestration capabilities, including offerings for sovereign and regulated environments.
• Deloitte largely pursues an asset-light approach through initiatives such as Silicon2Service, Palantir-enabled EOS and Zora AI on Oracle infrastructure, creating consulting and Operate opportunities while potentially leaving Deloitte exposed when partners incorporate similar functionality into their platforms.
• Infosys positions Topaz Fabric as the coordination layer across models and technologies, seeking to retain responsibility for integration, governance and execution.

Accenture owns assets that complement its partners’ breadth, Infosys could make its Topaz Fabric essential to clients’ operations, and Deloitte must provide differentiated value  to keep the hyperscalers and others at bay. To be clear, TBR believes the technology providers will not significantly erode these three companies’ IT services and consulting revenues, but as AI increasingly changes the overall market, IT services companies and consultancies that have not followed strategies laid down by Accenture, Infosys and Deloitte will likely be the first to see opportunities shift to their technology partners.

Space: Is it a cliché to say ‘the next frontier’?

Deloitte’s expansion into space technology through Project Constellation and the Deloitte-2 and Deloitte-3 satellites creates opportunities in on-orbit cybersecurity, AI and space data that sit beyond the enterprise AI opportunities. But these openings will come at a cost and with potential margin headwinds, as these pursuits are capital-intensive, demonstrating a pivot away from Deloitte’s asset-light model. Accelerating investments in Project Constellation (the firm has plans to launch nine satellite in total) will also come with additional opportunities and challenges.
 
Doubling down on operating its own satellites could provide Deloitte with an opportunity to demonstrate payload, edge and software-defined upgrades, helping the firm build credibility against engineering-heavy competitors, including the aerospace contracts. In other words, if the firm is successful, Deloitte could treat its space tech investments as a lab, leveraging the knowledge gained to on-Earth OT environments. The challenges will likely center on commercialization, as space projects remain heavily government-led with long procurement cycle.
 
Although Deloitte is well positioned to win advisory and transformation work, converting opportunities in emerging areas such as in-space manufacturing into managed services will likely take years. At the same time, the Trump administration’s recent launch of the United States Space Academy suggests Deloitte is making a long-term commitment to space technology while continuing to advance its Operate-to-Transform strategy on Earth over the short to mid-term.
 
Across all these elements of running a highly successful consultancy and/or IT services company, Accenture, Deloitte and Infosys continue to provide growth blueprints for their peers, as well as some, perhaps unintended, advice on strategies and steps to avoid.