US scrambles to reassure India after Anthropic AI ban—while China races ahead in ‘Pax Silica’

The United States has moved to reassure India that it will not impose abrupt “cutoffs” on future AI access, according to a senior Indian official speaking to the South China Morning Post on Thursday. The assurances come days after Washington abruptly banned Anthropic’s advanced models on national security grounds, triggering immediate concern in New Delhi about continuity of AI supply and model availability. India’s MeitY Secretary S. Krishnan is cited across reporting as seeking explicit guarantees that future AI technology will not be restricted without notice. In parallel, the broader US–China AI competition is intensifying under the “Pax Silica” framing, with both sides pushing governance, export controls, and compute advantages. Strategically, the episode highlights how AI is being treated like a dual-use capability—governed through export controls, licensing, and access assurances rather than purely commercial terms. The US is attempting to preserve cooperation with India while still maintaining leverage over frontier model deployment, effectively turning “access” into a bargaining chip in technology security. India, meanwhile, is trying to reduce dependency risk by extracting commitments that prevent sudden operational disruption for its AI ecosystem and downstream industries. China’s response—through aggressive hiring at DeepSeek and new “physics-embedded” world-model approaches from Shanghai-based Fysics AI—signals a push to diversify technical pathways and reduce vulnerability to Western chokepoints. The net effect is a three-way contest where governance credibility, compute supply, and export-control predictability become strategic assets. Market and economic implications are already visible across semiconductors, cloud/AI infrastructure, and enterprise hardware roadmaps. Apple’s reported shift in Mac silicon strategy toward a new AI-focused chip generation suggests demand for on-device acceleration and tighter integration between hardware and frontier model workflows, potentially reshaping competitive positioning in consumer and creator compute. IBM’s announcement of a new chip technology claiming 50% more computational power points to continued investment in performance-per-watt and accelerators that can support training and inference at scale. On the policy side, US export controls tied to Anthropic’s models can raise compliance costs and constrain model availability for firms building AI products, increasing demand for alternative model sources and potentially boosting spend on domestic or allied compute. Currency and broad macro instruments are not directly cited in the articles, but the direction of risk is clear: higher volatility in AI-related equities and capex expectations for compute, networking, and security tooling. What to watch next is whether the US provides formal, operationally specific assurances to India—such as notice periods, licensing criteria, and carve-outs for non-sensitive use cases—rather than general statements. The next escalation trigger is any follow-on restriction beyond Anthropic, especially if it affects widely used model families or developer tooling that Indian firms rely on. On the China side, monitor DeepSeek’s hiring ramp and output milestones, plus Fysics AI’s progress in deploying its physics-embedded world model and attracting partners. In parallel, track enterprise hardware announcements (Apple’s next Mac silicon generation and IBM’s chip rollout) as they can indicate how quickly the market is re-architecting around AI acceleration. Finally, watch G7-related technology-security messaging and any subsequent export-control updates that could tighten or relax the “access vs. security” bargain within weeks.

Geopolitical Implications

• 01

  AI export controls are becoming a core instrument of leverage in US–China competition, with India treated as a strategic partner whose continuity risk must be managed.

• 02

  “Access assurances” may evolve into a new diplomatic currency, influencing trade negotiations and technology cooperation terms.

• 03

  China’s parallel technical diversification (hiring scale-up and alternative world-model paradigms) aims to blunt the impact of Western chokepoints.

• 04

  G7-aligned technology-security coordination could tighten compliance expectations globally, raising the cost of cross-border AI deployment.

Key Signals

• —Formal US documentation of AI access criteria and notice periods for India-linked deployments.
• —Any follow-on export-control actions referencing additional model families or developer tooling beyond Anthropic.
• —DeepSeek’s hiring outcomes and early AGI-related milestones (benchmarks, releases, partnerships).
• —Fysics AI partner announcements and evidence of physics-embedded world-model performance in real tasks.
• —Apple/IBM chip rollout timelines and whether they explicitly target frontier-model inference workloads.