New Focus, Continuous Purpose
China’s 15th Five-Year Plan is the most AI-focused planning document in Chinese history, and sets the pace for long term digital aspiration and technical ambition.
Key Points
China’s 15th Five-Year Plan, approved on 12 March 2026, is the latest step in a deliberate technology strategy.
AI appears 52 times in the document, up from 11 in its predecessor; computing power receives its own dedicated chapter; a new four-character doctrine, 模芯云用, frames AI as a single integrated stack; and the “AI+” initiative targets integration across 90% of China’s economy by 2030.
The plan names seven future industries — quantum technology, biomanufacturing, hydrogen and fusion energy, brain-computer interfaces, embodied intelligence, 6G, and next-generation intelligent systems — and treats standards leadership across each as an explicit strategic objective.
Responding to a sustained, decade-long technology strategy requires institutional consistency that short electoral cycles make genuinely difficult.
Apertura
An executive summary for business leaders with a focus on risks and actions for businesses is available here
Reading the Blueprint
On 12 March 2026, National People's Congress delegates in the Great Hall of the People voted to approve a 141-page document covering 15 chapters and 61 sections. The plan is now operative.
In most countries, a government publishing a five-year economic blueprint would be understood as aspirational — the kind of thing filed in ministerial archives and periodically revised when political winds shift. In China, it works differently. Five-Year Plans cascade downward through ministries, provincial governments, and enterprises via sub-plans that translate priorities into procurement mandates, funding allocations, and regulatory frameworks. The document signals where capital and focus will flow. Companies that align with designated priorities gain easier access to credit, regulatory favour, and procurement opportunities. That is why investors and business strategists read it carefully before it is even finalised.
The plan’s value lies not only in looking five years ahead. It sits within a broader architecture. The 15th explicitly frames itself, in the words of the plenum communique, as covering “a key period for basically achieving socialist modernisation by 2035.” Each plan is a known step in a known sequence.
For other governments attempting to respond, the difficulty is worth stating plainly: maintaining institutional consistency across multiple five-year cycles requires something short electoral calendars rarely deliver. The United States has cycled through four substantively different technology and industrial policy positions in twelve years. The European Union has cycled through three strategic frameworks for AI governance without fully implementing the first. That asymmetry is not a warning buried in the 15th Plan; it is the operating assumption.
From Factory Floor to the Clouds
A concrete measure of the plan’s ambitions is its deployment target: digital economy value-added at 12.5% of GDP by 2030, and the “AI+” initiative, which aims to integrate across 90% of China’s economy by 2030.
The plan’s central doctrine for achieving this is 模芯云用: “model-chip-cloud-application,” introduced for the first time. It encodes a full-stack AI architecture: models running on domestically developed chips, hosted on Chinese cloud infrastructure, deployed across applications embedded in the real economy. To that end, there are a number of key phrases that are important in understanding the context and framing of development :
模芯云用 (mó xīn yún yòng) — model-chip-cloud-application: the full-stack AI doctrine, treating the four layers as a single integrated national system rather than separate technology domains.
新质生产力 (xīn zhì shēngchǎn lì) — New Quality Productive Forces: the organising economic concept, signalling the shift from volume-driven manufacturing to high-value, AI-integrated production. J.P. Morgan analysts note it carries explicit state backing for technology and innovation-driven stocks.
新型举国体制 (xīnxíng jǔguó tǐzhì) — New National System: stronger coordination of national resources toward strategic sectors, with capital and policy support for high-tech industries.
内卷 (nèijuǎn) — involution: signals state intent to consolidate saturated industries and redirect competitive energy toward frontier sectors.
超常规措施 (chāo chángguī cuòshī) — extraordinary measures: applied to breakthroughs in core technologies, including integrated circuits and industrial machine tools, signalling that normal procurement and governance rules are suspended for designated chokepoints.
数据要素 (shùjù yàosù) — data as a factor of production: the plan’s treatment of data as a classifiable, tradeable, and taxable economic input alongside land, labour, and capital.
For manufacturing, the plan operates on two tracks. Traditional industries, such as metals, textiles, machinery, and chemicals, are to be automated, digitalised, and upgraded. The plan explicitly calls for maintaining an “appropriate share” of advanced manufacturing in the national economy, rejecting the services-led hollowing-out that characterised Western industrial economies through the 1990s and 2000s.
On the advanced manufacturing track, aerospace, new materials, commercial space, humanoid robotics, and the low-altitude drone economy are designated priority sectors. As Liu Qiao, dean of Peking University’s Guanghua School of Management, put it, the plan “will be centred around the development of new quality productive forces.”
China’s Magnificent Seven
The Plan names seven future industries and treats standards participation across each as a strategic objective.
Quantum technology. The plan calls for the construction of an integrated space-earth quantum communication network and designates quantum as the first among future industries for commercialisation support. China already leads the world in deployed quantum communication infrastructure, with a 2,000-kilometre fibre backbone.
Biomanufacturing encompasses the convergence of biology and industrial production: engineered organisms producing materials, pharmaceuticals, and food at an industrial scale.
Hydrogen and fusion energy reflect the plan’s green transition commitments. China is the world’s largest producer of green hydrogen and holds significant fusion research infrastructure. Standards for hydrogen infrastructure interconnection — storage, transport, fuel cell interfaces — remain genuinely open in international bodies where China is an active participant.
Brain-computer interfaces are the most forward-looking designation. Chinese firms, including BrainCo and NeuraMatrix, have programmes running in parallel with better-known international efforts. The plan signals commercialisation intent rather than pure research, with implications across medical devices, industrial human-machine interfaces, and consumer applications.
Embodied intelligence, otherwise known as humanoid robotics, is the most concrete. China’s firms shipped roughly 90% of global humanoid robot units in 2025. The Ministry of Industry and Information Technology released the first national standard system covering the entire humanoid robot lifecycle in March 2026, coinciding with the plan’s approval.
6G telecommunications. China’s early and sustained participation in 3GPP standard-setting gave Chinese firms a position in global 5G infrastructure that subsequent export controls only partially dislodged. 6G integrates satellite communications, AI-driven network management, and sensing capabilities into a unified architecture. China already holds a substantial share of 6G-related patent filings, and the standards governing how these capabilities interact are being negotiated now, years before commercial deployment.
Next-generation intelligent systems is the broadest designation, encompassing AI model governance, architectures, and the regulatory frameworks that govern what these systems can and cannot do. China has published AI governance regulations since 2022, covering algorithmic recommendations, synthetic media, and generative AI.
Taxing the Invisible Input
As automation and robotics progressively displace human labour, the tax base that funds public services erodes. Income tax and payroll contributions follow workers; when factories run on machines and algorithms, the traditional revenue model hollows out. Various responses have been proposed — robot taxes, digital services levies, windfall taxes on technology firms. None has achieved meaningful adoption at scale.
I have long held that some form of data value or tokenisation mechanism would eventually be how states adapt their revenue bases to an AI-intensive economy. China is not using that language. The framing is classical factors-of-production economics, but the underlying logic is the same. It will be worth watching closely how the pilot is designed and whether the valuation methodology for data flows proves workable in practice. If it does, it becomes a template.
China’s approach in the 15th Plan is structurally different. The plan classifies data formally as a factor of production alongside land, labour, and capital, governing each category on its own terms: public data to be “opened to the fullest extent possible,” enterprise data to be “traded to the fullest extent feasible,” and personal data to be “controllable and measurable.” Within that framework, a data production tax is to be piloted, incorporating data generation and use into the national tax base through the GDP accounting framework itself, rather than through transaction levies on firms. The specific pilot mechanics will emerge through ministerial sub-plans over the next two years.
Hong Kong: Assigned a Role
The plan designates the Guangdong-Hong Kong-Macao Greater Bay Area, with Hong Kong as its international interface, as one of China’s three engines of high-quality growth. Hong Kong’s response since 12 March has been institutional. Financial Secretary Paul Chan described the 15th Plan as presenting a “golden strategic period” for the city. Chief Executive John Lee announced Hong Kong will formulate its first-ever five-year development blueprint aligned directly with the national plan. A HK$1 billion Hong Kong Institute of Artificial Intelligence is being established in 2026, alongside a new Committee on AI+ and Industry Development Strategy focused on life and health technology and embodied AI.
The capital market rationale explains why the role was assigned. Hong Kong processes roughly 80% of global offshore renminbi transactions. In 2025, it completed 114 IPOs raising approximately HK$286.3 billion, including four of the world’s ten largest, KPMG recording this as the city reclaiming the top global IPO spot for the first time since 2019. Deloitte forecasts at least HK$300 billion raised in 2026, with over 300 active listing applicants. Sectoral composition is directly plan-aligned: AI, biotech, quantum technology, and advanced manufacturing companies are cited as the primary drivers.
Technology companies require international capital, talent pipelines, and listing venues with credible regulatory frameworks. Hong Kong provides all three within a Chinese governance structure, at a moment when alternatives are narrowing. Washington’s capital markets face uncertainty, and Nasdaq’s proposed stricter listing standards for Chinese companies are accelerating migration toward my home, Hong Kong.
The Fifteenth Step in a Long March
What delegates approved on 12 March was a document that is ambitious, clear, and structurally unified around a single organising logic: that mastery of technology, deployed at scale across a modern industrial economy, is both the source of growth and the foundation of national security. The 15th Plan does not hedge that proposition. It builds an entire architecture around it.
The harder question is not whether China will execute on it. That is a given. The question is whether other states can match that clarity of purpose — and do so quickly enough for it to matter.





What stands out here isn’t just the focus on AI, but the institutional mechanism behind it and how they covered procurement mandates, funding priorities, regulatory signals, and industrial alignment.
The real advantage is their ability to translate strategy into coordinated institutional action over decades.