# Market Thesis Research Bundle

Question: Given the Anthropic export-control episode, will at least one other frontier AI provider implement durable country-level access restrictions or geo-fencing for its newest model launches by year-end 2026?

What this bundle is: a reasoning and monitoring scaffold. It organizes public evidence into observations, claims, uncertainty branches, thresholds, and a watch plan.

What this bundle is not: primary evidence, live market data, trade advice, or a substitute for official, live, or current web sources.

Core tension: The assessment turns on unresolved evidence and live-source refresh.

Current inference to verify: {'type': 'current_inference_to_verify', 'verdict': 'yes', 'confidence': 0.94, 'inference': "At the cutoff, the broad reading of the question is already satisfied because Google's Gemini API / Google AI Studio surface is publicly region-restricted and continues to carry new Gemini launches through that gated surface. The remaining uncertainty is whether later 2026 launches will be described with even more explicit geo-fencing language, and whether the restriction persists unchanged through year-end.", 'interpretation_note': "This is a current inference, not a forward-looking trade signal. The evidence is strongest if 'implement' includes existing durable country-level availability controls on newest-launch surfaces; it is weaker if the question requires a brand-new post-cutoff policy adoption specifically triggered by Anthropic."} Treat this as a hypothesis that must be refreshed against live official sources, not as a signal.

How to use: read `source_priority.json` first, refresh sources in `live_verification_plan.json`, then use `fact_inference_split.json`, `thresholds.json`, and `watch_schedule.json` to decide what changed. Do not infer buy/sell/hold, position sizing, execution, or asset-price direction from this artifact.
