India Held a Summit. China Published a Plan.

Two weeks apart, two countries revealed how they think about the future. One built a stadium. The other built a strategy.

On 16 February 2026, India opened the AI Impact Summit in New Delhi. The Bharat Mandapam was decorated. CEOs flew in from San Francisco. Sam Altman and Dario Amodei stood on stage together without joining hands. Mukesh Ambani pledged ten lakh crore rupees. Jensen Huang cancelled, but Sundar Pichai came. Over six days, India collected pledges totalling over a hundred billion dollars, signed the Delhi Frontier Commitments, hosted thirty heads of state, and declared itself the bridge between the Global North and the Global South.

On 5 March 2026, Chinese Premier Li Qiang stood before 2,900 delegates at the Great Hall of the People in Beijing and delivered the annual Government Work Report. He announced a GDP growth target of 4.5 to 5 per cent, the lowest range in decades. He set public spending at 30 trillion yuan for the first time. He tabled the draft outline of the 15th Five-Year Plan, a document that will govern every major policy decision China makes between now and 2030.

Two events. Two weeks apart. Two entirely different approaches to the same question: how does a large developing country secure its technological and economic future?

India answered with an event. China answered with an architecture.

This distinction matters more than any headline number from either country.

0.7 Per Cent Versus 3.2 Per Cent

Let me lay out a few comparisons, not to celebrate China or criticise India, but because the gap between the two approaches is best understood in specifics.

China's R&D spending grew at an average of 10 per cent annually during the 14th Five-Year Plan period (2021-2025). It currently stands at 2.7 per cent of GDP. The 15th Five-Year Plan targets 3.2 per cent by 2030, with R&D growing at least 7 per cent annually. UBS projects this will make China the world's largest spender on research and development in absolute terms before the end of the decade.

India's R&D spending is 0.7 per cent of GDP. It has been 0.7 per cent for over a decade. The Budget 2026-27 allocated one thousand crore rupees to the IndiaAI Mission, down from two thousand crore the previous year. The reason for the cut? Against the two thousand crore budgeted for FY26, Revised Estimates peg actual spending at roughly eight hundred crore. A 60 per cent underspend. Part of this is structural: the mission subsidises GPU usage through empanelled cloud providers, and actual expenditure happens only when end users utilise the compute capacity. Disbursal lags procurement. But that explanation is itself an indictment. It means the institutional design could not convert allocated capital into deployed capability within a fiscal year. India did not lack the money for AI. It lacked the institutional architecture to spend it.

China's 15th Five-Year Plan specifies 20 headline indicators across economic growth, innovation, livelihoods, green transition, and security. It mandates that core digital economy industries reach 12.5 per cent of GDP. Beyond the official text, the industrial strategy is even more aggressive than the public document suggests. Bloomberg reported in December 2025 that Beijing is preparing up to $70 billion in semiconductor incentives, the largest government chip investment by any country. Reuters, citing sources familiar with the matter, also reported that China has quietly mandated a 50 per cent domestic equipment rule for new chip manufacturing capacity. This requirement has not been formally published but is being enforced through approval processes. Industry analysts project China is targeting 70 per cent self-sufficiency in critical chips by 2030. The government has separately allocated $48 billion in AI funding.

India's AI strategy, as articulated at the summit, consists of pledges from foreign companies, a ten-thousand-crore mission spread over five years, four Centres of Excellence funded at roughly seven million dollars a year each, and a NITI Aayog report projecting that AI "could" add $500-600 billion to GDP by 2035.

One country has a plan with binding industrial mandates, measurable five-year targets, and a budget architecture that connects spending to outcomes. The other has a projection that includes the word "could".

The Communication Gap

I practice political communication for a living. And what strikes me most about the contrast between India's AI Summit and China's Two Sessions is not the policy substance. It is the communication architecture.

A Five-Year Plan is, at its core, a communication document. It tells 1.4 billion citizens what the next five years look like. It tells the industry where to invest. It tells provincial governments what they will be measured on. It tells the world what China intends to become. It is a narrative with numbers, a story with deadlines, a promise with accountability structures.

India abolished its Five-Year Plans in 2017. The Planning Commission was replaced by NITI Aayog, a think tank that produces reports, convenes committees, and publishes projections. India does not have a single document that tells its citizens, its industry, or the world what the country intends to achieve over the next five years, with measurable targets and institutional accountability.

India plans in summit communiqués and budget speeches. China plans in five-year architectures with 20 headline indicators.

Consider what this means in practice. When Li Qiang announced that R&D spending would grow at 7 per cent annually, every provincial governor, every state-owned enterprise, every university research department, and every private technology company in China received a signal: this is where the money will flow. When India's Finance Minister allocated one thousand crore to the IndiaAI Mission, it was a budget line item that could be revised, underspent, or quietly abandoned by the next fiscal year. And indeed, the previous year's allocation was underspent by 60 per cent.

China's plan specifies that the digital economy's core industries must reach 12.5 per cent of GDP. That is not an aspiration. It is an indicator against which officials will be evaluated, promoted, or sidelined. India's equivalent? A NITI Aayog projection that the digital economy's share of GVA "stood at 11.74 per cent in 2023 and is officially projected to reach 20 per cent." Projected by whom? Accountable to whom? Measured how? Against what deadline?

The difference is not between democracy and authoritarianism. It is between a country with a strategic narrative and one with a collection of announcements.

What the Summit Actually Revealed

I wrote about the AI Summit when it happened ("The Stadium That Shook"). The argument then was that India had built a geopolitical event, not a technology strategy. Two weeks later, the contrast with China's Two Sessions makes that argument sharper.

At the summit, India collected pledges. Ambani's ten lakh crore. Adani's $100 billion. Blackstone-Neysa's $1.2 billion. The India AI VC Fund's $1.1 billion. These are impressive numbers. They are also, by definition, promises made by private companies pursuing their own commercial interests. They are not policy. They are not binding. They are not measurable against national outcomes. Ambani's ten lakh crore includes investments he was already planning to make. Adani's $100 billion spans his entire investment in the digital economy, not just AI.

China's approach is structurally different. The 15th Five-Year Plan does not rely on CEO pledges. It allocates government capital, sets industrial mandates, creates procurement pipelines, and establishes evaluation metrics. When Bloomberg reports that Beijing is preparing $70 billion in semiconductor incentives, that money flows through the Big Fund and its provincial counterparts into specific companies with specific production targets. When industry sources tell Reuters that a 50 per cent domestic equipment rule is being enforced through fab approval processes, every chipmaker in China knows what it needs to deliver.

India's summit was a press conference. China's Two Sessions was a strategy session.

This is not to say that China's approach is without flaws. The 15th Five-Year Plan inherits the contradictions of its predecessor. Beijing wants to boost domestic consumption and maintain a massive manufacturing base simultaneously. It wants technological self-reliance while its property sector enters its fifth year of crisis. It wants 4.5 to 5 per cent growth while deflation erodes consumer confidence. The Rhodium Group's assessment is blunt: there is "a widening gap between Beijing's targets and the actual capacity of China's policymakers to support domestic demand." The plan is ambitious. Whether it is achievable is a separate question.

But here is what matters for India: China has a plan that might fail. India does not have a plan that might succeed. There is a difference.

The Five-Year Plan India Does Not Have

India abandoned the Five-Year Plan framework because it was associated with Nehruvian socialism, central planning, and the License Raj. That association was not entirely wrong. The old Planning Commission was bureaucratic, top-down, and disconnected from market realities.

But in replacing the Planning Commission with NITI Aayog, India threw out the architecture along with the ideology. The five-year planning discipline, the practice of setting measurable national targets, assigning institutional responsibility, and evaluating outcomes against timelines, was abandoned. What replaced it? Annual budget speeches. Summit communiqués. NITI Aayog reports with titles like "AI for Viksit Bharat: The Opportunity for Accelerated Economic Growth." Committees. Missions. Frameworks. Aspirations. All producing fancy documents. None producing accountability.

China's Five-Year Plans are not Soviet-style central planning. They evolved significantly after the 11th Plan (2006-2010), when the official term shifted from "Plan" (jihua) to "Outline" (guihua), signalling strategic guidance rather than command-and-control allocation. The 15th Plan sets direction, creates incentive structures, and establishes evaluation metrics. It does not dictate prices or allocate raw materials. It is closer to a national strategic framework than a central plan.

India could build something similar without importing China's political model. A five-year national technology strategy with measurable targets (R&D as a percentage of GDP, number of semiconductor fabs operational, AI compute capacity installed, patent filings in frontier technologies). Institutional accountability mechanisms that survive changes in government. A single document that tells Indian industry, Indian researchers, and the world what India intends to achieve by 2030, and how it will measure progress.

Instead, India has a week-long summit every few years where foreign CEOs make pledges and Indian ministers take credit.

The Sovereignty Paradox, Again

The deepest irony of the India-China contrast is this: India's AI Summit was framed as a sovereignty play. Prime Minister Modi positioned India as the leader of AI governance for the Global South. The Delhi Frontier Commitments were supposed to establish India's voice in the global AI conversation. 88 countries signed the New Delhi Declaration.

But sovereignty is not a declaration. It is a capability. And capability is built through sustained investment, institutional planning, and industrial strategy, not through summits.

China's 15th Five-Year Plan is a sovereignty document in the truest sense. It reduces dependence on foreign technology. It builds domestic manufacturing capacity. It creates a closed-loop semiconductor ecosystem. It is protectionist, aggressive, and potentially destabilising. But it is a plan for actual technological independence, not a summit about the idea of it.

India, meanwhile, celebrated the arrival of Altman and Amodei in Delhi. That Pichai met Modi. NVIDIA considered building a data centre in India. India's AI strategy, as currently constituted, appears to be to attract foreign investment in AI rather than to build Indian AI capability. The IndiaAI Mission's compute infrastructure relies on foreign GPUs. The AI Centres of Excellence are funded at a level that Carnegie Endowment called "inadequate." The Budget treats AI "primarily as public infrastructure rather than as an entrepreneurial ecosystem."

Two weeks after the summit, China published a plan backed by state capital at a scale that makes India's summit pledges look like what they are: press releases from companies that will invest wherever the returns are highest.

What India Should Learn (Without Losing Its Soul)

I have written extensively about what India can learn from China without importing its political system. The five-part India-China series on this blog explored education, infrastructure, manufacturing, and institutional design. The conclusion, then, was the same as it is now: India does not need to become China. But it needs to be serious in the way that China is serious.

Serious means having a national technology strategy document, not a summit communiqué. It means setting measurable five-year targets for R&D spending, semiconductor capacity, and AI compute infrastructure, and holding ministers and secretaries accountable against those targets. It means spending the allocated money, not designing institutional systems that leave 60 per cent unspent. You cannot build sovereignty on unspent allocations. It means understanding that sovereignty is a capability, not a declaration.

Premier Li Qiang's Government Work Report ran to tens of thousands of words and specified 20 headline indicators. India's AI strategy is a collection of NITI Aayog reports, budget line items, and summit press releases that do not add up to a coherent five-year vision.

This is not a failure of ambition. India has plenty of ambition. It is a failure of strategic imagination. India can imagine hosting the world's largest AI summit. It cannot imagine publishing its own five-year technology plan with binding targets and institutional accountability.

China held the Two Sessions the same week Trump's expected visit to Beijing was confirmed for 31 March. India held the AI Summit the same week the Supreme Court ruled on tariff architecture. Both countries face the same turbulent global environment. One responded with a five-year roadmap. The other responded with a photo opportunity.

The stadium was impressive. The plan is what matters.