White House prioritizes AI lead over China, Larry Ellison cancels Oracle share sale, NDRC promotes auto mergers.
Anthropic CEO Amodei published a long article on Saturday proposing a three-step initiative to slow down frontier models—opening models to third-party evaluators, establishing capability thresholds, and pushing for international coordination. Trump responded publicly over the weekend: he will not slow AI development due to safety concerns, with the policy focus ensuring US AI superiority over China. This implies the US regulatory path will likely continue to lean towards deregulation and speed racing, further diverging from Europe's preference for ex-ante compliance. Transatlantic rule arbitrage opportunities will persist. At the market level, regulatory discount expectations for leading model companies and compute infrastructure providers are narrowing; conversely, third-party firms relying on compliance audit and safety assessment narratives face demand-side skepticism—their commercial prospects are more tied to EU and state-level legislation than federal levels.
According to Bloomberg, Oracle Founder and CTO Larry Ellison canceled his previously disclosed plan to sell up to 50 million shares. The background is that Oracle is facing cash flow pressure while heavily investing in AI data centers and has included this round of layoffs in its 2026 restructuring plan, raising total costs to approximately $2.8 billion. Founder selling is typically a dual negative signal of supply pressure above the stock price and confidence. Halting it during a weekend when debates about peaking AI capex are heating up was directly interpreted by trading desks as insider endorsement of the spending cycle's sustainability; more broadly, concerns about peaking across the entire AI infrastructure supply chain—including database clouds, compute leasing, and data center construction—received a tangible counter-evidence. Note: The founder's personal liquidity arrangements and the company's capex plans are not the same ledger. This halt is closer to a signal trade than fundamental information, and its validity awaits verification with Oracle's next guidance update.
According to CCTV Finance, this year's CIFTIS debuted a "Finance + Tech Innovation" joint exhibition mode. New financial tools like compute loans, compute insurance, and investment-loan linkage appeared centrally. Compute Token Loans are accelerating nationwide rollout. Incorporating operational metrics like Token consumption and rack occupancy rates into credit pricing effectively opens a leveraged channel bypassing equity financing for heavy-asset compute projects, significantly lowering expansion barriers for small/medium compute service providers. Beneficiary ranking: Server OEMs, liquid cooling, and data center EPC chains benefit most directly; already heavy-invested third-party IDCs gain a handle for refinancing valuation re-rating; banking and fintech targets add a new professional asset track.
Clear signals were transmitted at the MIIT press conference on September 11: Actively support reforms of large auto groups, promote inter-enterprise mergers and restructuring via market-oriented and rule-of-law approaches, while noting that technology paths are still evolving and disruptive technologies may emerge. The official stance sets the tone for market clearing, implying that amidst price war attrition, integration of weak brands by head groups will gain policy channels. Referencing home appliance and smartphone industry history, relaxing merger/restructuring access is often a precursor signal for industry profit margin inflection points. Head SOEs and large private enterprises with multi-brand matrices are most likely to become integrating entities. Existing pricing logic for tail-end NEV projects in primary markets faces re-evaluation.
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