# Market Thesis Research Bundle

Question: Given the AI buildout, will at least one major GPU, networking, or HBM supplier say demand is moving from emergency buildout to a more normalized replacement or expansion cycle, as seen in order cadence, lead times, or backlog commentary by the next two earnings cycles?

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: Given the AI buildout, will at least one major GPU, networking, or HBM supplier say demand is moving from emergency buildout to a more normalized replacement or expansion cycle, as seen in order cadence, lead times, or backlog commentary by the next two earnings cycles?

Current inference to verify: {'direction': 'unlikely', 'probability': 0.3, 'framing': 'This is a current inference to verify, not a durable forecast signal. The present primary-source set still reads as constrained AI buildout and capacity expansion, with only partial hints of maturation in deployment mix.'} 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.