The story of technology and AI in Union Budget 2026 begins with tax proposals aimed at global cloud companies rather than start-ups, digital platforms and digital India. The budget provides tax incentives for companies that use Indian data center infrastructure to provide cloud services to overseas customers for more than 20 years, extending until 2047. Users in India will continue to be served through local resellers. This is a long-term incentive and is unusual both in its duration and in what it seeks to accomplish.
This measure is aimed at anchoring physical digital infrastructure in the country rather than promoting adoption or use. Once treated as a support industry, data centers are now being positioned as strategic assets, on a par with other sensitive areas such as ports, highways, and industrial corridors. This shows that the next stage of digital growth lies in data centers.
Recently, Andhra Pradesh allotted around 500 acres of land to Adani Infra (India) for a 1 GW AI data center project in partnership with American tech giant Google. The $15 billion investment aims to build India’s largest AI data center campus by 2030. The facility will support Google’s AI, search and YouTube services and will also include undersea cable connectivity. This is a showcase project to enable Adhra Pradesh to become a digital AI hub apart from being an IT hub.
But this Budget, which is on tax holiday, will set the tone for how technology will feature throughout the rest of the Chancellor’s speech. Budget 2026 does not seek to define India’s technology future through consumer narratives. There are no flagship digital products, no new citizen apps, and no attempts to frame artificial intelligence as a universal solution. Instead, the focus remains on the underlying layers: computing, components, service exports, and applied systems that quietly extend across the economy.
This becomes clearer when read against the technology-related headlines that most people are likely to take away from the speech. The mission of semiconductors has expanded. AI platform was referenced. Digital public infrastructure continued to function. However, the focus is not on visibility. We have reached capacity. The clearest example is the launch of the India Semiconductor Mission as ISM 2.0, which shifts focus from manufacturing to equipment, materials, full-stack domestic intellectual property, and industry-led research and training.
The language of the proposal suggests an understanding that competitiveness in semiconductors is not won through one-time incentives, but through depth that includes sustained supply chains, multi-skills, and manufacturing ecosystems that transcend price cycles. Sitharaman said ISM 2.0 will “produce equipment and materials, design full-stack Indian IP, and strengthen supply chains. It will also focus on industry-led research and training centers to develop technology and a skilled workforce.”
Artificial intelligence (AI) also appears primarily as an input to a system, rather than as a destination. Bharat-VISTAAR, a proposed multilingual AI platform for agriculture, aims to integrate existing datasets and advisory services to reduce risks and improve farm-level decision-making. Similar references to AI can be found in logistics, customs risk assessment, and governance processes. These are high-volume, low-margin environments where incremental gains in efficiency are more important than novelty. This frame is important because it is a template. AI is used to improve outcomes in large-scale, low-margin areas, not as a consumer spectacle.
The same logic has been brought to bear on services exports, another area where Budget 2026 chooses predictability over spectacle. By streamlining safe harbor rules, raising thresholds, and promoting automatic approval of IT and IT-enabled services, the government is addressing friction in a sector that already operates at scale. The goal is durability, not reinvention. This is to ensure that India’s services sector engine remains competitive as global tax regimes tighten and profit margins come under pressure. In any case, Sitharaman wants India to become a leader in the services sector and capture 10 percent of the global market share by 2047 through a focused approach.
The contrast becomes even clearer when compared to last year’s atmosphere. The technical narrative of Budget 2025, like most budgets in the past, was often read through the lens of signaling. This means maintaining momentum, reassuring investors, and keeping digital transformation high on the agenda. The 2026 budget acts more like a document built on more stable assumptions. Digital adoption is no longer a bottleneck. The real bottleneck is the capacity associated with computing, components, and skilled systems that may be responsible for future growth.
This may explain why the finance minister has almost doubled spending on the electronic component manufacturing program to 40,000 billion rupees. In line with the global shortage of rare earth minerals and China’s stranglehold on rare earth minerals, the budget wants to help “mineral rich states of Odisha, Kerala, Andhra Pradesh and Tamil Nadu to set up dedicated rare earth corridors to facilitate mining, processing, research and manufacturing in these regions.”
Essentially, the idea is to prepare the nation for an AI world and prepare manufacturers to participate in the AI economy. Regarding the former, the terms of reference of the High-Level Standing Committee on Education and Employment have been made clear. Assess the impact of AI on future jobs and skill requirements. The plan is to propose specific measures to incorporate AI into the educational curriculum starting at the school level and to upgrade the state council of educational research and training institutions for teacher training.
Additionally, the Commission will recommend measures to upskill and reskill technical professionals and engineers in AI, and initiatives to match workers, jobs, and training opportunities with AI. Technology has the potential to make informal workflows visible, verifiable, and future-proof, and the Commission’s recommendations can help in this direction. It will propose measures to attract skilled diaspora and foreign talent in technology, AI and other parts of the world.
In the words of the Minister of Finance, the three Cartavias she outlined at the beginning of her speech on growth, aspirations and capabilities, and inclusive vision were underpinned by several things. These include momentum for structural reform, a strong and resilient financial sector, and “cutting-edge technologies, including AI applications” that can “serve as a force multiplier towards improving governance.” Therefore, it is very important and critical to be AI-enabled.
This is why if you look at the big picture Sitharaman has painted, you can start where you need to be. Not the promise of consumer AI, but the infrastructure that makes AI and the cloud practical, efficient, profitable, and effective on a national scale. That’s why we’re talking about AI being most important not in everyday consumer tools, but in embedding intelligence into large-scale systems such as agricultural advisories, customs risk assessments with advanced imaging and AI, and improved governance.
