Infosys, TCS, and the AI Services Reset
OpenAI and Anthropic are moving deeper into enterprise AI, forcing Indian IT leaders to defend old service models while building the next generation of AI-led offerings.
Quick Answer
OpenAI and Anthropic are moving beyond model APIs into enterprise services - implementation, customisation, and workflow integration - which directly competes with the core revenue model of Indian IT giants like Infosys and TCS. Both firms are responding by building AI practices and partnering with AI labs, but the speed of the AI labs' enterprise push is forcing a structural reset faster than traditional IT services firms can adapt.
Why This Matters
The next phase of enterprise AI is no longer just about giving companies access to powerful models. AI labs are moving closer to the work that large IT services firms have traditionally owned: software modernization, workflow automation, coding support, enterprise implementation, and industry-specific transformation.
That shift puts companies like Infosys and TCS in a complicated position. On one side, AI tools from OpenAI and Anthropic can automate parts of the labor-intensive work that made Indian IT services so valuable for decades. On the other, those same AI companies need trusted enterprise partners to bring AI systems into regulated, messy, real-world business environments.
The Pressure on Traditional IT
The concern for investors is straightforward: if advanced AI agents can write code, refactor legacy systems, analyze business processes, and handle repeatable knowledge work, then some parts of the classic outsourcing model may come under margin pressure.
That does not mean IT services companies disappear. But it does mean the value proposition changes. Clients may no longer pay only for large delivery teams and long transformation programs. They will increasingly expect faster outcomes, AI-assisted delivery, reusable agents, and measurable productivity gains.
For Infosys, TCS, HCLTech, Wipro, and others, this creates a strategic squeeze. They must show that AI is not just a threat to billing models, but a new services layer they can package, govern, and scale.
Why OpenAI and Anthropic Need the IT Giants
OpenAI and Anthropic have strong models, developer ecosystems, and brand pull. But enterprise adoption is different from consumer AI adoption.
Large companies need integration with legacy systems, security controls, change management, domain expertise, compliance workflows, and support across business units. This is exactly where established IT services firms still have an advantage.
That is why partnerships between AI labs and IT companies could become a practical bridge: the AI companies bring model capability, while IT firms bring enterprise distribution, implementation muscle, and years of client context.
What Product Leaders Should Watch
For PMs and technology leaders, the important signal is not whether AI replaces services firms overnight. The more useful question is how service delivery will be redesigned around AI-native workflows.
Watch for three changes:
- AI agents becoming part of standard enterprise delivery proposals.
- Legacy modernization shifting from headcount-heavy projects to AI-assisted acceleration.
- Consulting and IT vendors selling outcomes, governance, and domain-specific AI systems instead of only people and hours.
The winners will likely be the firms that can turn AI into repeatable operating leverage. The laggards will be those that simply add AI language to old delivery models without changing how work gets done.
The Bigger Takeaway
Indian IT is not just facing another technology cycle. It is facing a pricing, productivity, and positioning reset.
OpenAI and Anthropic may compete with parts of the old services model, but they can also expand the market for AI transformation if paired with the right implementation partners. For Infosys and TCS, the challenge is to move quickly enough that AI becomes a growth engine before it becomes a margin problem.
Reference
This article is a rephrased summary and analysis based on the news reference shared here: Times Now - Infosys, TCS in Trouble? How Anthropic and OpenAI Could Bring New AI Services to IT.
Frequently Asked Questions
How are OpenAI and Anthropic threatening Indian IT companies?+
OpenAI and Anthropic are moving into enterprise AI implementation and services - the domain that Infosys, TCS, Wipro, and HCL have dominated for decades. AI labs offer faster deployment, lower cost, and tighter integration with their models. This is not a distant threat: enterprise clients are already shifting budgets from traditional IT services to AI-native providers, putting pressure on the headcount-dependent revenue model that Indian IT companies are built on.
How are Infosys and TCS responding to the AI shift?+
Infosys and TCS are responding through a combination of AI tool acquisitions, partnerships with AI labs (both have partnerships with Microsoft Azure OpenAI), internal AI skilling programs, and the development of proprietary AI platforms. Infosys has invested heavily in its Topaz AI platform, while TCS has built AI WizTM. The question is whether these internal platforms can compete with the pace of improvement from frontier AI labs.
What does the AI services reset mean for product managers?+
For product managers at enterprise software companies, the AI services reset means shorter procurement cycles (AI-native tools close faster than traditional IT contracts), higher expectation of AI capability in any enterprise product, and new competition from AI labs that previously had no enterprise sales motion. PMs building B2B enterprise products need to understand how AI labs are positioning in their market and design their AI features to be genuinely differentiated.
Will AI replace IT services jobs at Infosys and TCS?+
AI will transform rather than immediately replace IT services jobs. Tasks that are primarily code generation, documentation, testing, and system integration - a large portion of traditional IT services work - are increasingly automatable. However, client relationship management, enterprise architecture decisions, change management, and industry-specific implementation still require human judgment. The shift is from labour-intensive delivery to knowledge-intensive advisory, which requires significant workforce retraining.
Which AI companies are winning enterprise AI services contracts?+
In 2026, the enterprise AI services market is being won by a combination of: AI labs with enterprise teams (Anthropic's enterprise division, OpenAI's enterprise business), cloud providers with AI services layers (AWS Bedrock services, Azure OpenAI implementation), and a new category of AI-native system integrators (Accenture AI, Deloitte AI, and boutique AI implementation firms). Traditional IT services companies are competing but face structural cost and speed disadvantages.
About the Author
Kartik Daware Jain
Product Thinker · AI Writer · Founder, AI Product pulse
Kartik thinks and writes at the intersection of AI and product strategy. He founded AI Product pulse - the independent publication for builders and PMs navigating the AI era - covering frameworks, teardowns, AI tools, and career strategy. His writing is practitioner-first: grounded in real product decisions, not academic theory.
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