China's 15th Five-Year Plan, covering 2026 to 2030, is emerging as a more consequential signal for global investors than the headline-grabbing Trump-Xi summit narrative, according to analysts at Neuberger Berman. The plan combines an aggressive national artificial intelligence strategy with a deliberate effort to reshape domestic competitive dynamics through anti-involution policy. Together, these themes carry direct implications for portfolio positioning across global equities, technology supply chains and sustainability-linked sectors.

 

Artificial Intelligence as the Organising Principle

 

The 15th Five-Year Plan mentions artificial intelligence 52 times, four times more than its predecessor, signalling a strategic reordering in which AI moves from one priority among many to the organising principle of China's modernisation agenda. The execution vehicle is the AI+ initiative, released in August 2025, which targets 90 percent penetration of AI-enabled devices and applications across Chinese industry by 2030. China's core AI industry, valued at roughly 1.2 trillion yuan in 2025, is targeted to surpass 10 trillion yuan within the plan period, supported by national research and development investment growing at more than 7 percent annually.

The infrastructure underpinning this ambition is more deeply embedded in global AI supply chains than commonly recognised. Chinese hardware manufacturers play a central role in producing optical networking modules, printed circuit boards for AI servers and multilayer ceramic capacitors that power data centre infrastructure at scale. The country is also positioning itself at the frontier of physical AI, with humanoid robotics receiving strong top-down support under the plan, extending AI deployment well beyond the data centre into industrial and commercial environments.

 

Energy Cost as a Structural AI Advantage

 

The factor most consistently underestimated in Western analysis is energy cost, which translates directly into AI unit economics through model training, inference at scale and the rise of energy-intensive agentic systems. Renewables overcapacity in Western China has produced electricity prices that are lower than those in most United States states, with the underlying cost base built on some of the world's most abundant solar, wind and hydro resources. Because the advantage is rooted in renewable infrastructure rather than fossil fuel subsidies, it is structural and sustainable rather than cyclical.

This dynamic is being reinforced through the East-West Computing Resources Transmission Project, which enables large-scale data centres to be sited in Western China and powered by low-cost renewable supply. The combination converts renewable overcapacity into a durable AI infrastructure advantage, with implications for the global cost curve of AI services. As compute and data requirements continue to rise, cost-per-output metrics will become more important to competitive positioning, and China's energy base supports a favourable trajectory on that measure.

 

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Open-Source Strategy and Cost Differential

 

China's large language model strategy reinforces the energy advantage rather than competing frontier-to-frontier with leading United States closed models from providers such as OpenAI and Google. Chinese developers have pursued an open-source, low-token-cost approach that prioritises accessibility and economic deployment over single-model performance benchmarks. February 2026 provided early evidence that this strategy is gaining traction, with Chinese large language model usage surging during the month on the back of rising demand for agentic applications and viral adoption of tools such as Openclaw.

Token pricing for Chinese frontier models sits substantially below Western equivalents, which becomes increasingly significant as enterprise AI deployments scale. As organisations move from experimentation to production workloads, the cost per million tokens directly shapes which providers can serve high-volume use cases profitably. This positioning looks increasingly intentional rather than opportunistic and is likely to influence global AI adoption patterns through the second half of the decade.

 

Anti-Involution Policy and Margin Recovery

 

The second major theme with global investment consequences is anti-involution policy, which addresses a condition of excessive competition in which firms continually undercut one another without generating genuine productivity gains. Nowhere has this been more acute than in renewable energy, where Chinese solar manufacturing capacity reached approximately 1,200 gigawatts in 2025, nearly double total global installation demand. The six largest Chinese solar manufacturers reported combined losses of roughly $2.8 billion in the first half of 2025 alone, reflecting the depth of the industry's margin compression.

The 15th Five-Year Plan marks a deliberate break from this model by explicitly prioritising orderly competition over unconstrained capacity additions. The early evidence is showing up in producer price data, with PPI inflation rising to negative 0.9 percent year-on-year in February 2026, a 19-month high. Policy language has shifted from hard capacity cuts toward regulating capacity, enforcing anti-monopoly rules and reining in local subsidies, which provides a more durable and investable route to margin recovery across Chinese industrial sectors.

 

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Earnings Trajectory and Capital Market Reform

 

Consensus earnings expectations have moved decisively as these policy shifts begin to translate into financial performance. MSCI China earnings growth is forecast to accelerate from approximately 6 percent in 2025 to 14 percent in 2026, according to Goldman Sachs, with the onshore CSI 300 tracking a similar path from roughly 10 percent to 12 percent. CSI 300 earnings revisions have turned positive year-to-date in 2026, marking the first sustained break from a persistent downward trend stretching back to 2014. The drivers include AI adoption feeding through technology supply chains, overseas expansion of Chinese companies and stabilising producer prices linked to anti-involution discipline.

A quieter but substantive capital market upgrade is reinforcing the picture through corporate governance reforms, a market value management policy and a new investor stewardship code. China's new sustainability reporting standards are designed for broad compatibility with the International Sustainability Standards Board and adopt double materiality in a manner that mirrors the European Union's Corporate Sustainability Reporting Directive. At a time when sustainability disclosure is fragmenting in parts of the United States and Europe, China's alignment with globally recognised standards may reduce complexity for multinational institutional investors and improve the quality of data available for transition risk assessment.

 

Outlook for Global Investor Positioning

 

Risks remain material despite the constructive policy backdrop, including geopolitical uncertainty, persistent property sector stress and questions about the durability of domestic demand recovery. The Paris trade talks illustrate the fragility of the current equilibrium, with new United States trade investigations already testing the one-year truce that has prevented triple-digit tariffs. The Iran conflict has added an energy dimension to the geopolitical landscape that neither Beijing nor Washington can ignore, layering additional complexity onto already delicate trade negotiations.

The positioning picture, however, is striking from a benchmark perspective. As of February 2026, Nvidia alone represented more than 4 percent of the MSCI All Country World Index, while China, the world's second-largest economy, accounted for less than 3 percent. Most global institutional investors are estimated to sit at 2 to 3 percent effective exposure, which is underweight by any benchmark-relative measure. The 15th Five-Year Plan offers a credible, funded and detailed commitment to transforming China's economic structure around AI productivity and disciplined capital allocation, raising the question of whether current exposure is appropriately calibrated to the opportunity now on the table.

 

Source: Neuberger research