1 Trillion Yuan in AI Investment Still Can't Plug China's Property Gap

As China’s property crisis deepens, the promise of AI‑driven efficiency gains has failed to materialize as a counterweight. The scale of real estate’s decline dwarfs nascent tech investment, leaving proptech firms navigating a market where AI is more a distraction than a solution.

The recent briefing by Nomura’s Lu Ting that AI is not proving to be the economic savior China needs amid its deep property crisis underscores a structural divergence between the US and Chinese economies. Speaking in Beijing on June 11, 2026, Ting emphasized that while AI drives roughly half of the US economy, its contribution in China remains limited—constrained by a combination of investment scale, capital market depth, and hardware access. This comes as the World Bank revised China’s 2026 GDP growth forecast down to 4.2%, a 0.2 percentage point cut from its January estimate, highlighting the persistent real estate drag.

“

This comes as the World Bank revised China’s 2026 GDP growth forecast down to 4.2%, a 0.2 percentage point cut from its January estimate, highlighting the persistent real estate drag.

The numbers paint a stark picture. China’s annual AI investment exceeds 1 trillion yuan (US$147.82 billion), but that sum pales next to the property investment levels of the 2010s, when real estate accounted for a significant chunk of GDP. Ting noted that the share of AI investment in China’s overall economy is only about one-third of that in the US. In America, AI has become a primary economic force, with investment growing at four times the pace of consumer spending. The disparity is partly due to deep American capital markets, where firms like OpenAI raise funds easily—a privilege Chinese AI startups lack.

Compounding the funding gap is a critical hardware bottleneck. US-led export controls have severely restricted China’s ability to procure advanced semiconductors in bulk. Ting stated bluntly: “We don’t have the means—[other countries] simply won’t sell to us. We’ve hit a major bottleneck here.” This has capped the scaling of AI infrastructure and redirected benefits to neighboring economies. Taiwan’s GDP surged 14.55% in Q1 2026, driven by TSMC, while South Korea’s memory‑chip exports also boomed. In contrast, mainland China managed only 5% GDP growth in the same quarter, and its AI-driven transformation remains aspirational.

The property crisis continues to exert a deflationary drag. Real estate investment, once a pillar of growth, has collapsed, and AI is nowhere near filling that void. Ting warned that AI could widen China’s economic bifurcation, with high‑tech sectors thriving in a few coastal cities while the broader economy, still dependent on construction and traditional manufacturing, stagnates. This could exacerbate regional inequalities and complicate policy responses. The scale of the property decline is immense: during the 2010s, annual real estate investment regularly topped 10–15 trillion yuan, directly employing tens of millions. AI, even with its trillion‑yuan investment, is far more capital‑efficient in employment, limiting its ability to absorb the workforce shed by construction.