# Market Thesis Research Bundle

Question: Given the AI physical-economy thesis, will industrial automation and electrical-equipment vendors show AI-linked orders from factories, mines, or utilities becoming a material share of backlog rather than a one-off pilot story by the next earnings cycle?

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 physical-economy thesis, will industrial automation and electrical-equipment vendors show AI-linked orders from factories, mines, or utilities becoming a material share of backlog rather than a one-off pilot story by the next earnings cycle?

Current inference to verify: {'statement': 'The current evidence supports AI-linked demand becoming visible in backlog and orders first in the power and electrical-equipment layer, especially where data-center buildout is driving electrical infrastructure demand. The same evidence does not yet prove that classic factory-automation vendors are showing AI-linked backlog as a material share rather than a narrative overlay.', 'status': 'mixed_but_more_likely_than_not_yes_for_electrical_equipment; not_yet_proven_for_broader_factory_automation', 'confidence': 0.72, 'scope_note': 'This is a current inference to verify across the next earnings cycle, not a prediction signal or trading view.'} 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.