Hype and Havoc Shroud AI’s Impact on IT Firms, Between Apocalypse and Denial
Big Tech’s acceleration of Agentic AI hangs like a sword of Damocles over traditional IT services. Consequently, global tech and Indian IT stocks lurch between optimism and unease as investors weigh the impact of these artificial intelligence tools on a services model built largely on billing human effort.
The debate has moved beyond incremental automation to deeper concern over AI agents that can generate code, test applications and manage infrastructure. If enterprises trust them at scale, the base of the IT pyramid would shrink, leaving junior coders, testers and maintenance staff adrift. Revenue growth would slow, margins tighten and entry-level hiring thin out.
The Market’s Fright
Equity markets have taken fright. Citrini Research’s latest Substack post rattled investors by outlining how Generative and Agentic AI could pose a structural threat to the offshore labour-arbitrage model over the next 2-3 years. Venture capitalist Vinod Khosla has argued that large swathes of traditional IT services could be automated away.
AI leaders hold the mikes. When Anthropic’s chief Dario Amodei warns that advanced AI could sharply reduce demand for entry-level coders, investors listen. And with good reason.
Just this month, Anthropic sent one shudder after another down IT sector spines: first with plug-ins for its Claude agent capable of handling legal, sales and analytics tasks; then with a code-security tool that identified hundreds of vulnerabilities; and most recently with claims that its models can streamline Cobol code running on legacy systems.
Anthropic’s first blow cost investors almost $285 billion in lost market cap globally. Next, cybersecurity stocks such as CrowdStrike and Okta slid sharply. On Monday, IBM suffered its steepest one-day fall in over a decade as fears grew of AI eyeing old Cobol-heavy systems run by banks and governments.
In India, firms like TCS and Infosys employ thousands for mainframe and legacy set-up maintenance. The anxiety is palpable and justified.
The Legacy Reality
But is all this anxiety overdone? McKinsey notes that nearly 70% of the software that powers Fortune 500 companies is two decades old. Updating it is not just a stiff challenge; one must contend with a maze of regulations.
While AI may take over some tasks, institutional memory, risk management and compliance oversight may still need human control. Enterprises are unlikely to entrust critical systems to AI agents without guardrails. Questions of accountability, auditability and cybersecurity loom large.
Who bears responsibility if an AI agent misconfigures a financial system? How can AI decisions be explained to regulators? What about data leaks and hallucinations? AI systems and laws could evolve to tally such worries if the makers of both wrap their heads around what they are dealing with.
This may explain why Indian IT service businesses, already well acquainted with legacy software, have tied up with disruptors like OpenAI and Anthropic. Nasscom’s stoic stance reflects this calculus.
However, if AI crunches project timelines and clients demand lower bills, efficiency gains may not be able to defend IT margins. The pressure is real, even if the timeline is uncertain.
The Middle Ground
On balance, the truth lies between apocalypse and AI-impact denial. Old business models face structural strain and entry-level roles are likely to shrink. But forecasts of rapid AI adoption ignore legacy systems and regulatory drag.
Agentic AI will reshape the economics of IT services, but not overnight. That said, we can expect volatility to persist. The onus is on IT service firms to show how well they can adapt.
What Indian IT Firms Must Do
For Indian IT services, the path forward requires a clear-eyed assessment of the threat and a strategic response. This means moving up the value chain, from coding and maintenance to higher-value activities like system architecture, business process redesign, and AI integration itself.
It means investing in reskilling employees, not just cutting costs. It means building partnerships with AI leaders while developing proprietary capabilities. It means accepting that the old model of billing by the hour for routine work is dying, and embracing new models of value-based pricing.
The Human Element
Despite the hype, humans will remain essential for the foreseeable future. AI can write code, but it cannot understand business context. It can identify vulnerabilities, but it cannot make judgment calls about risk tolerance. It can streamline legacy systems, but it cannot navigate the complex web of regulations that govern them.
The institutions that succeed will be those that find the right balance between automation and human judgment, between efficiency and resilience, between short-term gains and long-term capability.
Conclusion: Adaptation is Key
The AI threat to traditional IT services is real, but it is not an overnight apocalypse. It is a structural shift that will play out over years, not months. Companies that adapt will survive and even thrive. Those that don’t will be left behind.
The volatility we are seeing in tech stocks reflects genuine uncertainty about who will be the winners and losers in this transition. That uncertainty will persist. But for investors with a long-term perspective, the key is not to panic but to assess which companies have the strategy, the talent, and the balance sheet to navigate the change.
As Nasscom’s stoic stance suggests, Indian IT has weathered disruptions before. It may well weather this one too—but only if it adapts.
Q&A: Unpacking AI’s Impact on IT Services
Q1: What specific AI developments have spooked investors recently?
Anthropic released plug-ins for its Claude agent capable of legal, sales, and analytics tasks; a code-security tool that identified hundreds of vulnerabilities; and models that can streamline Cobol code on legacy systems. These developments suggest AI can now perform tasks that were once the preserve of human coders, testers, and maintenance staff.
Q2: How have markets reacted to these developments?
Anthropic’s first announcement cost investors $285 billion in global market cap. Cybersecurity stocks like CrowdStrike and Okta slid sharply. IBM suffered its steepest one-day fall in over a decade. Indian IT stocks have also been volatile as investors weigh the threat to the offshore labour-arbitrage model.
Q3: Why might the threat be less immediate than some fear?
McKinsey notes nearly 70% of Fortune 500 software is two decades old. Updating it faces regulatory mazes and requires institutional memory, risk management, and compliance oversight that may still need human control. Questions of accountability, auditability, and cybersecurity also loom large. Enterprises are unlikely to trust critical systems to AI without guardrails.
Q4: How are Indian IT firms responding?
Companies like TCS and Infosys have tied up with disruptors like OpenAI and Anthropic, leveraging their legacy expertise while partnering with AI leaders. Nasscom’s stoic stance reflects a belief that adaptation is possible. The key will be moving up the value chain from routine coding to higher-value activities.
Q5: What is the realistic outlook for IT services?
The truth lies between apocalypse and denial. Old business models face structural strain; entry-level roles will likely shrink. But rapid AI adoption forecasts ignore legacy systems and regulatory drag. Agentic AI will reshape economics but not overnight. Volatility will persist, and the onus is on firms to show they can adapt. Companies that succeed will balance automation with human judgment.
