Open-weight and small models dominate as AI workloads shift to cheaper options
A healthcare technology company is shifting most AI workloads to open-weight and small models, achieving major cost savings while maintaining performance.
Chinese regulators have urged state funds and companies to buy equities and some investors to curb selling after the benchmark slid about 10% this year.
Government share purchases and restrictions on selling normally create a temporary cushion for Chinese equities, meaning mainland benchmarks may have less room to fall near term than their global technology counterparts. The backing is administrative in nature, not a shift in fundamentals, and gains built on state-directed buying have frequently evaporated once the intervention is removed. The yuan and Chinese government debt, both resilient this year, are unlikely to move much as a result of these steps. The GDP and activity numbers due on Monday carry more weight; a disappointing reading could stoke expectations of fiscal support and give stocks a more solid base than direct market intervention. Across the region, technology sentiment will be shaped by global AI valuations.
Beijing is again turning to its usual playbook of state purchases and gentle requests that investors hold off selling, though lifting share prices is far simpler than curing the poor demand weighing on the economy.
Summary:
China's government has intervened to steady the stock market, Bloomberg reported, asking state funds and companies to acquire shares while discouraging certain investors from selling. A technology-led slide has taken roughly 10% off the benchmark index this year.
At a meeting on Thursday, financial regulators asked firms and state-backed funds to buy stocks and advised some investors to pare back sales, according to people familiar with the matter cited by Bloomberg. The state funds known as the “national team” were asked to accelerate their buying, and separate reporting indicated large inflows into ETFs consistent with official buying.
Major insurers were given informal window guidance to disclose their equity holdings, avoid locking in losses on positions below cost, and align investing with wider economic goals. The regulators did not answer requests for comment.
These measures follow pledges made earlier this month by the securities regulator to bolster market-stabilisation systems, open more routes for long-term institutional capital, push for bigger dividends and share buybacks, and develop additional policy instruments.
The action comes after a steep drop that was centred on technology and AI-linked shares, the sectors that had driven earlier advances. By Thursday's close the benchmark was at its weakest point since August 2025, and the tech-heavy ChiNext lost almost 3% on the day. That sell-off formed part of a broader international pullback from AI-related equities: South Korea's Kospi fell more than 7% and Japan's Nikkei 225 dropped nearly 5% the same day as investors reassessed valuations and rate expectations.
Bloomberg said officials worry about how fragile the market has become and want to stop selling pressure from turning into a self-reinforcing decline.
What stands out is that the strain has been confined to the stock market rather than spreading through Chinese assets more broadly. Government bonds have strengthened this year, leaving the 10-year yield near its lowest level in more than a year, and the yuan has climbed more than 4% versus the dollar, better than its Asian peers.
The support arrives while the economy is still battling soft consumer demand, slow private investment and an extended property slump. Third-quarter GDP due Monday is forecast to come in below Beijing's 4.5% to 5.0% growth target.
This creates a larger challenge. Selling restrictions and state-directed share buying can stabilise prices temporarily, yet they do little to fix the soft domestic demand at the root of the slowdown. A more lasting rebound in Chinese equities may depend on whether Beijing follows with bigger fiscal or monetary measures.
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A healthcare technology company is shifting most AI workloads to open-weight and small models, achieving major cost savings while maintaining performance.
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