Colorado Governor Vetoes Overly Broad Algorithmic Pricing and Wage Setting Bill
Summary
Colorado Governor Jared Polis vetoed HB 26-1210 on June 2, 2026. This bill aimed to regulate the use of "surveillance data" for individualized consumer pricing and worker wage setting. Governor Polis supported consumer protection but cited concerns about the bill's broad scope. He warned it could penalize beneficial pricing practices, including those offering lower prices. Polis also cautioned against state intervention in consumer discounts. HB 26-1210 would have prohibited individualized price setting. This involved using "price or wage setting algorithms" to determine prices or wages, unless specific conditions were met. These algorithms were defined as technology using modeling, analytics, AI, or other data processing based on "surveillance data." "Surveillance data" included personal characteristics, behaviors, biometrics, or group affiliations. This veto reflects a trend of bills targeting "surveillance" or "dynamic" pricing.
Key takeaway
For legal professionals advising on algorithmic pricing, Colorado's veto signals a need for nuanced regulatory approaches. You should anticipate future legislation that targets specific harms like price gouging, rather than broadly prohibiting dynamic pricing. Focus your compliance strategies on demonstrating consumer benefits and avoiding definitions that could encompass common, beneficial practices. This trend suggests a continued push for regulation, but with a growing emphasis on precision.
Key insights
Colorado's veto of HB 26-1210 highlights the challenge of regulating algorithmic pricing without stifling beneficial market practices.
Principles
- Algorithmic regulation must avoid overbreadth.
- Legislation should not deter consumer savings.
- Differentiate harmful from beneficial pricing.
Topics
- Algorithmic Pricing
- Wage Setting Algorithms
- Regulatory Veto
- Colorado Legislation
- Surveillance Data
- Consumer Protection
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Editorial summary, takeaway, and curation by AIssential. Original article published by Inside Privacy.