Infosys tells investors exactly how it plans to win the AI era – and analysts reckon the upside case is good
Infosys held its AI Investor Day recently, and the message from management was unambiguous: it’s not another technology cycle to be managed, but a shift that the company intends to lead. Management sized the global AI services opportunity at USD 300 to 400 billion by 2030, outlined six distinct value pools it plans to compete across, and pointed to a client roster already deep in deployment.
The stock, trading at Rs 1,366 today, has fallen about 1.6% today, but there could be upside as per analysts.
Why This AI Cycle Is Different
Infosys was careful to distinguish the current AI moment from prior technology transitions. Management compared it to the shifts from mainframe to PC to cloud, but argued that AI demands something deeper — changes not just in technology stack but in operating models, workforce structure, and enterprise architecture.
“This AI tech transition is different from prior tech shifts, with foundational model innovation advancing faster than enterprise adoption, creating a deployment gap, while organisational complexity, legacy environments and data readiness remain key constraints,” said Motilal Oswal in its research report.
That deployment gap is precisely where Infosys sees its opportunity. Enterprises are not short of AI ambition — they are short of the implementation capability to translate that ambition into scaled, real-world outcomes. With 90 per cent of its top 200 clients already live on AI programmes and approximately 4,600 projects underway, Infosys is positioning itself as the bridge between what AI can do and what enterprises can actually absorb.
The Six Pillars
The strategic framework Infosys laid out is built around six value pools: AI strategy and engineering, data modernisation, process reimagination, legacy transformation, physical AI, and AI trust. Centrum describes it as a playbook designed to “scale up enterprise AI adoption and capture the USD 300 to 400 billion AI services opportunity by 2030, with AI work already embedded across approximately 90 per cent of top 200 clients.”
Underpinning all six pillars is Topaz Fabric, the company’s proprietary AI platform. With 600 pre-built agents and a model-agnostic architecture, it is designed to sit across existing enterprise systems rather than replace them — a critical selling point for large organisations reluctant to rip and replace decades of technology investment.
Motilal Oswal notes that “Topaz Fabric works as a flexible layer that connects across different AI models, cloud platforms and enterprise systems, allowing clients to build on their existing technology investments instead of replacing them.” The platform is also being integrated with AI-native partners including Anthropic, Cursor, and Cognition — expanding its reach into developer workflows without disrupting existing engineering environments.
Legacy Modernisation
One of the most compelling arguments made at the investor day is the legacy modernisation opportunity. Enterprises currently spend 60 to 80 per cent of their IT budgets on maintenance, leaving precious little room for innovation. AI is now making brownfield transformation economically viable for the first time, unlocking what could be a multi-year modernisation cycle entirely independent of new greenfield spending.
Motilal Oswal says: “Unlike greenfield demos that show strong productivity gains, most enterprises operate across fragmented legacy systems built over decades. Legacy modernisation is increasingly becoming a prerequisite for scaling AI initiatives.” For Infosys, with its deep client relationships and delivery scale, this is a structural tailwind layered on top of the new AI services opportunity — and one that could sustain demand well beyond the current enthusiasm for AI pilots and proofs of concept.
The productivity outcomes being delivered across client engagements reinforce the point. Centrum cites 2x developer productivity gains, 35 per cent faster time-to-market, 40 per cent incident response improvement, and 44 per cent contact centre call reduction across active deployments. These are enterprise-wide outcomes that drive contract renewals, deepen relationships, and expand wallet share over time.
Talent, Margins
On talent, Infosys is moving aggressively. Over 90 per cent of its workforce is now AI-trained, approximately 20,000 fresh graduates were hired in FY26, and a similar intake is planned for FY27 — a signal, as Centrum notes, of “management confidence in sustained medium-term demand and delivery scale.” Revenue per employee has grown approximately 3 per cent year-on-year in both FY25 and FY26, a quiet but meaningful sign that productivity gains are beginning to surface in the financials.
Margins have held steady despite stepped-up AI investments, with FY25 seeing approximately 50 basis points of expansion. Management has committed to funding incremental AI spend through internal efficiency gains rather than margin sacrifice.
Centrum projects revenue, EBITDA, and PAT CAGRs of 9.2 per cent, 10.3 per cent, and 10.2 per cent respectively over FY25 to FY28. Motilal Oswal believes “CY26 should represent the bottoming of the growth cycle, setting the stage for a more meaningful acceleration in the second half of FY27 and FY28 as AI services move into scaled deployment.”
Centrum has a target price of Rs 2,076 on the stock, implying upside of approximately 52 per cent from current levels. Motilal Oswal is at Rs 1,850, implying upside of approximately 35 per cent.
