Infosys Plans Massive Expansion of Enterprise AI in 2026 Through Scaling and Innovation

How Infosys is planning to expand its enterprise AI projects in 2026

Based on Infosys’ 2026 Q2 earnings commentary, the company’s plan to expand enterprise AI work in 2026 is less about changing business model mechanics (e.g., “build AI infrastructure”), and more about scaling delivery capacity, deepening client deployments, and aligning the AI roadmap with client priorities like cost efficiency, consolidation/automation, and select growth initiatives.

1) Scale delivery capacity with a larger AI bench (FTEs and “forward deployed” engineering)

Infosys states it is “scaling up massively on AI” with a large team of FTEs and a broad set of enterprise AI projects delivered with clients. ¹
It also says it is continuing to scale its team of “forward deployed engineers” as client interactions show strong focus on deploying AI across the enterprise. ²

What this implies for 2026 expansion: the expansion plan is capacity-led—adding people and deploying them closer to client programs—so Infosys can take on more concurrent enterprise AI initiatives (across multiple business processes and functions). ¹²

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2) Expand enterprise AI use cases across functions and workflows (not just one application)

Infosys describes enterprise AI work spanning multiple domains, including:

• Sales and/or marketing growth activities ¹
• Cost programs and process optimization (including customer service) ¹
• Code development ¹
• Additional “deep work” areas such as knowledge processes, credit risk, software development, and customer service ³

It further describes working “across an enterprise” to transform the enterprise “from an AI perspective” so clients can become leaders in their industry in AI. ³

What this implies for 2026 expansion: Infosys is positioning enterprise AI as a portfolio of deployments across departments (and sometimes enterprise-wide transformation), which increases addressable demand beyond single-point pilots. ¹³

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3) Grow the client footprint by converting strong large-deal momentum into more AI-enabled transformations

Infosys reports its pipeline remains very strong on large deals, noting clients are focused on cost optimization, consolidation, automation, and using AI for efficiency, with additional attention to AI for growth activities and AI transformation programs. ⁴

It also reports Q2 large-deal activity (including $3.1B large deals, with 67% new or net new work) and highlights that client interactions are strongly focused on deploying AI across the enterprise for growth and cost efficiency programs. ²

What this implies for 2026 expansion: Infosys expects that enterprise AI expansion will be driven by (and embedded within) large-deal enterprise transformations—especially those tied to cost efficiency, automation, and operational process modernization. ⁴²

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4) Leverage partnerships with large tech companies to scale enterprise AI programs

Infosys emphasizes strong partnerships with “a lot of different large tech companies” and states it believes there is “huge amount of opportunity in the enterprise AI space,” with Infosys positioned to help clients navigate enterprise realities. ¹

What this implies for 2026 expansion: the partnerships are a delivery and go-to-market multiplier for enterprise-scale AI programs rather than just an isolated technology relationship. ¹

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5) Continue to broaden public-sector and specific geographies for AI-relevant digital capability

While your question is about enterprise AI projects broadly, Infosys also describes how it plans to scale government/public-sector work in multiple regions—saying it is more focused on it in different markets, with emphasis on expanding in the U.K., leveraging strong Indian experience (e.g., income tax and GSTN) and expanding internationally from that capability base. ⁵

What this implies for 2026 expansion: enterprise AI scale may also come from public-sector transformation programs where Infosys can reuse domain assets and capabilities across geographies. ⁵

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6) Keep acquisition as a capability accelerant for AI (but primary growth is organic)

Infosys says its primary growth approach is working organically with clients, while acquisitions are used strategically to add capability in:

• industries
• service lines/skill areas
• geographies
• and it cites acquisition focus areas including digital and AI and cloud. ⁵

What this implies for 2026 expansion: Infosys expects to accelerate certain AI capability gaps through select acquisitions, but does not present acquisitions as the main engine—rather, it frames them as secondary to organic scaling. ⁵

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7) Use modernization as an AI-driven acceleration lever

Infosys explicitly ties modernization ROI and adoption speed to AI tools:

• modernization is a “huge opportunity because of AI” ⁶
• AI tools reduce the required time horizon for modernization, improving client ROI ⁶
• Infosys expects more and more AI tools to be deployed on modernization programs as AI tools mature ⁶

What this implies for 2026 expansion: a material portion of enterprise AI expansion is expected to occur via “legacy modernization” engagements where AI tooling speeds up delivery and improves business cases. ⁶

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Bottom line

For 2026, Infosys’ expansion plan for enterprise AI projects centers on: (1) scaling its AI delivery teams and forward deployment, (2) widening the set of enterprise AI use cases across functions like sales/marketing, cost/process optimization, customer service, and software/code development, (3) converting strong large-deal momentum—especially cost/automation-led transformations—into more AI-enabled enterprise programs, and (4) supporting scale through partnerships, selective acquisitions, and AI-enabled modernization. ¹³⁴⁵²⁶

All of the above are consistent with Infosys’ stated near-term direction in Q2, where it reported strong large-deal momentum and emphasized AI deployments for both growth and cost efficiency programs. ²