# Market Thesis Research Bundle

Question: Given the AI data-center buildout, will renewable or hybrid power developers secure hyperscaler off-take contracts that materially improve project bankability and backlog rather than remain pilot-scale arrangements?

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 data-center buildout, will renewable or hybrid power developers secure hyperscaler off-take contracts that materially improve project bankability and backlog rather than remain pilot-scale arrangements?

Current inference to verify: {'stance': 'yes, increasingly so, but unevenly', 'status': 'partially_supported', 'confidence': 0.81, 'rationale': 'The evidence already shows hyperscaler procurement moving beyond small pilots in several clean-power structures. The strongest bankability signals are long-tenor, large-scale hydro and geothermal arrangements with explicit contracted capacity or contracted pipeline, while a separate set of framework agreements clearly adds backlog without proving asset-level project finance at scale. The remaining gap is that several of the most important deals are still framework-stage, utility-mediated, or missing full financing terms, so the thesis is supported as a current inference rather than a settled prediction.', 'not_a_prediction_signal': True} 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.