Federal AI Legislation Probability & Safeguard Simulator

Evaluate how lobbying, risk skepticism, and regulatory safeguards deflect the Kalshi 10% baseline federal AI legislation odds.

Kalshi Baseline Passage Odds 10%

Current federal prediction market consensus for passage this year

Industry Lobbying Resistance 80/100

Corporate lobbying against mandatory frontier compute & weight disclosure

Public & Executive Existential Risk Skepticism 50/100

Sentiment alignment with 'AI takeover is a hoax' narrative

Bipartisan Safeguard Pressure 65/100

Legislative push for critical infrastructure & model auditing protections

Source Dispatch Grounding: Based on BNO News dispatch: “Trump says fears about AI 'taking over the world' or 'destroying humanity' are a 'HOAX', after calls for more safeguards. Comprehensive AI legislation at the federal level has a 10% chance of being passed this year, according to @Kalshi.”

Forecast Telemetry & Impact Matrix

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Adjusted Passage Odds

14.2%

Regulatory Gap Index

85.8%

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How Policy Vectors Deflect Federal AI Legislation Odds

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The model starts from Kalshi prediction market odds and dynamically applies opposing legislative forces. Bipartisan safeguards lift probability by 0.12 points each, while industry lobbying imposes a 0.07 drag, and civic urgency adds 0.04 for every point of skepticism dispelled. Netting these calibrated vectors adjusts the baseline to 14.2%, leaving an 85.8% regulatory gap beneath the 25% contested threshold. Selecting Crisis Safety Surge boosts safeguards to 95 and cuts lobbying to 40, swinging the needle past 50% into bipartisan consensus.