Former Google CEO Eric Schmidt says manual coding is becoming obsolete as AI tools take over. This shift challenges the traditional business model of Indian IT companies, which rely on large teams to write software. Investors should watch how these firms adapt their workforce and profit models to an AI-led future.
Former Google CEO Eric Schmidt recently stated that the era of manual coding—where humans write every line of software—is effectively coming to an end. For Indian investors, this perspective is significant because it touches the core business model of the country’s massive IT services sector. Schmidt argues that artificial intelligence tools can now outperform human programmers in many complex tasks, turning the developer's role from a builder of code into an architect of systems.
Impact on the Indian Service Model
For decades, Indian IT giants such as Tata Consultancy Services, Infosys, Wipro, and HCL Technologies have built their success on a model that scales human talent. This model largely relies on hiring large teams of engineers to write, test, and maintain code for global clients. Schmidt’s view suggests that if AI tools take over the task of writing the actual software code, the value proposition of a 'large human workforce' may face pressure.
If AI reduces the time and cost required to build software, companies will need to shift their focus. The industry is moving toward a structure where human developers act more like supervisors. Instead of writing the code, they will likely oversee the AI, verifying that the output is secure, functional, and aligned with client needs. This shift is not just about technology; it is about how these companies generate revenue and protect their profit margins.
Risks and Market Challenges
The transition to an AI-led model brings several risks for the IT sector. One primary concern is the need for mass re-skilling. If routine coding tasks—the entry point for many junior engineers—are automated, companies must quickly find ways to train their workforce for higher-level architectural work. Failure to do this could lead to a gap in productivity or a loss of competitive advantage against smaller, AI-native firms that may not have the baggage of a legacy business model.
Additionally, there is the risk of pricing pressure. Clients may eventually demand lower costs as AI tools make software development faster and cheaper. Indian IT firms will need to prove that they can add value through superior architectural oversight rather than just billable hours for coding.
What Investors Should Monitor
Investors may want to watch for how these IT firms adapt their business strategies in coming quarters. Key areas to track include management commentary on AI adoption, the cost of re-skilling employees, and whether companies can maintain their operating margins while integrating these new AI tools into their service delivery. The next phase for the industry will depend on how successfully these companies can move from a 'volume of staff' approach to a 'value of architecture' approach.