Technology

The operationalisation of Micron's chip-packaging plant and Kaynes Semicon's INR 33 billion OSAT facility in Sanand signals the emergence of India's first credible semiconductor cluster. These facilities, capable of producing millions of chips daily, position India to capture a share of global semiconductor value chains as customers diversify away from Taiwan and China. Continued government incentives under the India Semiconductor Mission are expected to attract further foreign and domestic investment.

Qualcomm's ₹90 crore, five-year commitment to the Anusandhan National Research Foundation (ANRF) exemplifies a growing industry-academia-government alignment to fund foundational AI and next-generation technology research. Such structured funding pipelines are building a domestic innovation base that can reduce dependence on imported intellectual property. Over time this should improve the quality and margin profile of Indian tech exports.

Indian IT majors are actively pivoting to AI-infused delivery models, embedding generative AI into software development, testing, and business-process workflows. While this compresses headcount-linked revenues in the near term, it expands addressable wallet share with clients seeking end-to-end AI transformation partners. Firms that successfully productise these capabilities stand to capture premium pricing and stickier long-term contracts.

The release of increasingly capable AI models such as Anthropic's Mythos is forcing enterprises across banking, financial services, and technology to urgently reassess their cybersecurity postures. This creates a sustained demand cycle for Indian IT and cybersecurity specialists who can design, implement, and manage AI-resilient defence architectures. India's large pool of security-certified engineers positions domestic firms well to capture this incremental spend.

Geopolitical pressures are accelerating multinational semiconductor companies' strategies to establish design and packaging centres outside China and Taiwan. India's combination of engineering talent, improving physical infrastructure in Gujarat, and policy incentives makes it a credible alternative hub for chip design and OSAT operations. This structural shift could underpin a decade-long investment cycle in India's semiconductor and electronics manufacturing sector.

Generative AI is automating significant portions of software development, QA, and BPO workflows that historically underpinned India's IT export revenues. Indian IT firms filed more WARN notices in Q1 2026 alone than in all of 2025, signalling that workforce restructuring is accelerating rather than stabilising. This structural demand destruction in labour-intensive service lines will weigh on revenue growth and utilisation rates for several years.

Challenging macroeconomic conditions in the US and Europe are prompting enterprise clients to defer or reduce discretionary technology spending, compounding the AI-led demand shift. Indian IT exporters, which derive the majority of revenues from North America and Europe, face a double headwind of cyclical budget cuts and structural automation substitution. Deal ramp-up timelines are lengthening, pressuring near-term revenue visibility.

The capabilities demonstrated by models like Anthropic's Mythos introduce novel attack vectors that existing enterprise security stacks in India are not fully equipped to handle. Major financial institutions and tech-reliant corporates face urgent and costly remediation cycles to harden defences, diverting capital from growth initiatives. Failure to adapt quickly could result in reputational and regulatory consequences that dampen sector sentiment.

The speed at which AI is reshaping software delivery models is outpacing the ability of India's IT workforce to reskill at scale. Large-scale WARN filings by Infosys, HCLTech, and Hinduja Global Services reflect not just cyclical adjustment but a structural mismatch between existing skill profiles and emerging demand for AI engineers, prompt designers, and model-ops specialists. Bridging this gap requires sustained investment in training infrastructure and curriculum reform.

Despite progress in OSAT and chip-packaging, India currently lacks domestic capability in advanced lithography equipment, EDA tools, and leading-edge chip design IP, all of which must be sourced from a small number of foreign suppliers subject to export controls. This dependency creates supply-chain fragility and limits the margin and technology ceiling of India's nascent semiconductor industry. Closing this gap requires a decade-long investment in indigenous tooling and design capability.