Artificial intelligence is changing how software is built, tested and delivered, and India’s technology services sector sits at the centre of that change. Investors are asking whether automation will shrink traditional revenue or open entirely new streams. Those watching the Infosys Share Price have seen sentiment swing between excitement and concern as new tools emerge. The debate extends across the whole industry, with every large company announcing platforms, partnerships and training programmes. In the same way, the TCS Share Price reflects expectations about how successfully a company can convert emerging technology into dependable revenue.
Productivity Gains and Pricing Pressure
Generative tools are enabling coders to summarise requirements and automate tests in a fraction of the time that it would typically take. While this has implications for productivity, the question that emerges is that if a task takes half the effort, will the client be willing to pay half the price?
Many companies operate on outcome-based pricing with a significant portion of revenues shared with clients. The transition from an hours-based to an outcome-based engagement is a big shift and will define profitability in the years ahead.
New Revenue Opportunities
Clients will require support in adopting these technologies. This includes data preparation, model integration, security assessments, governance frameworks, and change management, which creates fresh demand for skilled resources and consulting services. Indian majors are already setting up practices around data and intelligent automation, and early-movers in this space will have an edge over peers in the eyes of investors.
Reskilling the Workforce
The industry has millions of people working today and they will need to be re-skilled. Companies are devoting huge resources to training programs so that their engineers are able to work in tandem with these intelligent tools. People who are able to operate, validate, and integrate these models will see an increase in value.
At the same time, the industry will see a structural change in the kind of hiring that takes place. There will be a shift in the profile of entry-level hires. Investors should keep a close eye on utilisation rates, attrition, and spend on training and development as markers of change.
Risks Worth Watching
While it is easy to get enamoured by the opportunities ahead, it is worth noting that some clients will look to develop capabilities in-house. Smaller, specialised firms may emerge and compete on a speciality basis. Regulation around data and automation could emerge, adding to costs.
Most importantly, the initial rush to invest in building out platforms and capabilities will need to translate into revenues and profitability, which is not guaranteed.
What Investors Can Do
Rather than speculating on winners and losers, investors should look to facts and figures. The proportion of revenues that accrue from these new service lines, deal wins that mention automation, and changes in margins across quarters will indicate the true impact of the disruption. Listening to management commentary on client conversations is a good starting point, while a balanced assessment of the situation considers both disruption and opportunity with an eye on the long-term runway and the ability of large-cap listed firms to withstand the disruption.