AI spending is not the same as AI productivity

The latest discussion around Indian technology companies is moving from whether they will use artificial intelligence to how that investment will change the economics of delivery. A company can deploy assistants and automation across engineering teams, but the result depends on project design, customer acceptance, data governance and the skills of the workforce using the tools. More licences do not automatically mean more productive work.\n\nThe sector’s recent share-market reaction to Accenture’s lower revenue-growth guidance is a reminder that demand and technology enthusiasm are separate signals. Accenture reduced its guidance for the financial year ending August 2026 to 3–4 per cent from an earlier 3–5 per cent range and said client budgets remained cautious even as AI spending increased. Indian IT firms are exposed to the same tension: customers may fund experiments while delaying large transformation programmes.\n\nBoards should consequently ask for measurable outcomes. How many hours are saved? Which defects have fallen? Has the company protected confidential customer information? Are new AI-led offerings producing recurring revenue or one-off consulting work? A responsible update reports those details and acknowledges limits. Company Spectrum will treat AI as an operating and governance story, not simply a technology slogan.