The Opaque Horizon, Why Indian IT Must Come Clean on the AI Disruption
For the top four players in India’s IT services industry—TCS, Infosys, HCL Technologies, and Wipro—the last three years have been among the worst in over three decades. The numbers tell a stark story. In the last year alone, their shares have fallen by 31%, 26%, 14%, and 30% respectively. These are not minor fluctuations; they are deep, sustained declines that reflect a fundamental anxiety in the market: the fear of AI disruption.
Yet, as a pointed analysis argues, the communication from management to stakeholders has been poor at best and misleading at worst. Press releases and analyst conference calls are loaded with optimistic adjectives—”stellar results,” “strong performance,” “resilient execution,” “differentiated value propositions in enterprise AI.” But the numbers contradict the narrative. Three years of weak performance is long enough for stakeholders to believe the data over the declarations. A trust deficit has emerged between what managements say and what investors, employees, and policymakers observe.
The moment of truth is approaching. In the last two weeks, a global run on IT stocks followed the launch of multiple AI tools by Anthropic, which can automate many white-collar tasks. These tools starkly illustrate how disruptive AI could become. Indian IT CXOs must now respond with transparency about their business models. The stakes are high: employees, investors, graduates, and the broader ecosystem all need to understand what is coming.
The Divergence Between Words and Numbers
The disconnect between corporate communication and actual performance is striking. On one hand, management teams speak of resilience and adaptation, of investing in AI capabilities and positioning for the future. On the other hand, the financial results and stock prices tell a different story.
Consider TCS. The company has stated that its annualized AI revenue was $1.8 billion as of the end of Q3 FY26. This sounds impressive in absolute terms, but it represents a mere 6% of its total revenue. The question that remains unaddressed is how the other 94%—the traditional IT services business—will be impacted by AI. Will it shrink? Will it grow more slowly? Will it require massive reinvestment? Investors are left guessing.
The same opacity pervades the industry. Companies talk about their AI initiatives but do not disclose the numbers that would allow stakeholders to assess their significance. They highlight new deals but do not explain how existing revenue streams are being affected. They express confidence but do not provide the data that would justify that confidence.
This divergence has created a trust deficit. Stakeholders have learned to discount optimistic statements and read the numbers instead. And the numbers are worrying.
The Cloud Disruption Comparison
Supporters of the industry point to past disruptions that were successfully overcome. The cloud and digital transformation wave that began around 2016 upended the legacy business model of IT services firms. Yet the top four players adapted, actually increasing their headcount by 18% to nearly 8.8 lakh employees during that period.
This time, the story is different. It has been three years since the AI disruption began to unfold, yet the industry remains mired in difficulty. In the last three years, headcount across the top four has actually declined marginally, by about 3%, to 14.33 lakh employees. This may be the tip of the iceberg. If AI automation accelerates, the impact on employment could be far more severe.
The cloud disruption was about shifting from on-premise to cloud-based infrastructure—a change that required new skills but did not fundamentally alter the need for human labour. AI disruption is different. It targets the very tasks that IT services workers perform: coding, testing, maintenance, support. If AI can automate these tasks, the demand for human labour could shrink dramatically.
The iPhone Moment
The analysis draws a sobering historical parallel: the great handset companies of the past that were decimated by the arrival of the iPhone in 2007. Nokia, BlackBerry, Motorola—these were dominant players with massive market shares, strong brands, and apparently loyal customers. Their initial response to the iPhone was sanguine. They dismissed it as a niche product, a toy for enthusiasts, not a threat to their core business.
Within a few years, they were all but irrelevant. The iPhone had redefined what a phone could be, and the incumbents could not adapt quickly enough. Their initial confidence was not just misplaced; it was fatal.
The question for Indian IT is whether it faces a similar moment. Are the current AI tools from companies like Anthropic the equivalent of the iPhone? Will they redefine what IT services mean, rendering the traditional model obsolete? And are Indian IT leaders making the same mistake as the handset incumbents, underestimating the threat while projecting confidence?
The Need for Transparency
The analysis argues that this is not the time for frantic optimism. It is the time for honest, transparent communication. Stakeholders need to understand the scale of the challenge and the contours of the response.
For employees, this matters enormously. They need to know which skills will remain valuable and which may become redundant. They need guidance on how to adapt, what to learn, and where to focus. If companies are not transparent about the impact of AI, employees cannot make informed decisions about their careers.
For investors, the stakes are equally high. The stock price declines of the last year reflect anxiety, but they may also reflect a lack of clarity. Investors cannot price risk accurately if they do not know what the risk is. Transparent disclosure about AI’s impact on different business lines would allow markets to function more efficiently.
For graduates and universities, the need for transparency is urgent. Students choosing careers, and institutions designing curricula, need to understand the future of work in IT. If the industry is opaque, they are flying blind. The risk of mismatch between skills and demand grows.
For policymakers, the implications are broader still. The IT industry is a major employer and a significant contributor to exports and GDP. If AI disruption leads to job losses and slower growth, the economy will feel the impact. Policymakers need data to design appropriate responses—whether in education, social safety nets, or industrial policy.
What Transparency Would Look Like
What would transparent communication from IT companies look like? It would include several elements.
First, clear disclosure of AI-related revenue, but also of the revenue that is at risk. Companies should explain which parts of their business are most vulnerable to automation and which are likely to grow. They should provide scenarios, not just optimistic projections.
Second, honest discussion of headcount trends. The marginal decline of the last three years may be the beginning of a larger trend. Companies should explain their assumptions about future hiring and the skills that will be in demand.
Third, engagement with the broader ecosystem. IT companies should work with universities to shape curricula, with government to inform policy, and with employees to provide retraining and upskilling opportunities. This is not just corporate social responsibility; it is strategic necessity.
Fourth, humility about the uncertainty. No one knows exactly how AI will transform the industry. But pretending that everything is fine when the numbers suggest otherwise helps no one.
Conclusion: The Moment of Truth
The last three years have been difficult for Indian IT. The next three could be transformative. The launch of AI tools that automate white-collar tasks is not a distant threat; it is a present reality. The global run on IT stocks following the Anthropic announcements is a warning sign that cannot be ignored.
Indian IT companies have survived disruptions before. They have adapted to changing technologies and shifting customer demands. But this time may be different. The scale and speed of AI automation could eclipse anything the industry has faced.
The first step to navigating this challenge is honesty. Companies must stop hiding behind optimistic adjectives and start engaging with the real numbers. They must communicate transparently with employees, investors, graduates, and policymakers. They must acknowledge the uncertainty while charting a path forward.
The moment of truth is near. How Indian IT responds will determine not just the fate of a few companies, but the livelihoods of millions and the shape of the industry for decades to come.
Q&A: Unpacking the AI Disruption in Indian IT
Q1: What evidence suggests that Indian IT companies are underplaying the AI threat?
A: The evidence is twofold. First, financial and stock market performance: shares of the top four players (TCS, Infosys, HCL, Wipro) have declined by 14-31% in the last year, reflecting market fears of AI disruption. Second, the disconnect between management communication and results: while companies use optimistic language (“stellar results,” “differentiated AI value propositions”), the numbers show three years of weak performance. TCS, for example, highlights $1.8 billion in annualized AI revenue, but this is only 6% of its total revenue, leaving the impact on the remaining 94% unaddressed. This opacity creates a trust deficit.
Q2: How does the current AI disruption differ from the earlier cloud disruption that the industry successfully navigated?
A: During the cloud/digital disruption (FY16-18), the top four IT firms actually increased headcount by 18% to nearly 8.8 lakh employees. They adapted by shifting skills from on-premise to cloud-based work. In contrast, over the last three years of AI disruption, headcount has marginally declined by about 3% to 14.33 lakh employees. More importantly, cloud disruption changed where work was done; AI disruption targets the tasks themselves—coding, testing, maintenance—potentially reducing the need for human labour altogether. This makes the current challenge fundamentally different and potentially more severe.
Q3: What is the “iPhone moment” analogy, and why is it relevant to Indian IT?
A: The analogy refers to the 2007 launch of the iPhone, which upended the mobile handset industry. Dominant players like Nokia, BlackBerry, and Motorola initially dismissed the iPhone as a niche product, confident in their existing models. Within a few years, they were rendered irrelevant. The relevance to Indian IT is the risk of a similar underestimation. Current AI tools from companies like Anthropic may represent a comparable inflection point. If IT leaders are sanguine about the threat, as handset leaders were, they may miss the moment when adaptation is still possible.
Q4: Why does the article call for greater transparency from IT companies?
A: Greater transparency is needed because multiple stakeholders depend on accurate information. Employees need to know which skills will remain valuable to guide their careers. Investors need clarity to price risk accurately. Universities and graduates need to understand future demand to design curricula and make career choices. Policymakers need data to craft responses to potential job losses and economic shifts. Currently, companies are opaque about AI’s impact, creating a trust deficit and preventing informed decision-making by all these groups.
Q5: What would transparent communication from IT companies look like in practice?
A: Transparent communication would include: (1) clear disclosure of AI-related revenue and, crucially, the share of revenue at risk from automation; (2) honest discussion of headcount trends and assumptions about future hiring and skill requirements; (3) proactive engagement with universities, government, and employees on retraining and upskilling; (4) humility about uncertainty, acknowledging that the path of AI disruption is not fully known, rather than projecting unwarranted optimism. The goal is to replace opaque optimism with data-driven dialogue.
