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NYC.WORLD· Open Data · FY2026
Overview→Programs→Algorithmic Pricing Disclosure (Effective Nov 2025)

Algorithmic Pricing Disclosure (Effective Nov 2025)

Tier 330% confidenceWorker ProtectionRegulatory

Embedded — costs buried in shared lines

Department of Consumer & Worker Protection

The Civic Issue

Companies are using customers' personal data — browsing history, location, purchase patterns — to set individualized prices, and most consumers have no idea. Effective November 2025, NYC requires businesses to display: "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA." Violations carry $1,000 per incident penalties.

Headline Spending

$4.5M

identifiable in budget

Budget Lines (Adopted)

$6.0M

3 lines

Budget Lines

LineAdoptedSpent

ENFORCEMENT

LICENSING/ENFORCEMENT

$4.4M$2.8M

ENFORCEMENT

OTHER THAN PERSONAL SERVICE

$59.0K$64.5K

Consumer Services

ADMINISTRATION

$1.5M$869.7K

Total Identifiable Spending

$4.5M ENFORCEMENT (shared line covering all DCWP enforcement areas — algorithmic pricing is one of dozens of mandates)

Budget Line Breakdown (Adopted)

What the Data Shows

There is no dedicated budget line for algorithmic pricing enforcement. DCWP's general ENFORCEMENT line ($4.5M total, $4.4M PS + $125K OTPS) is the shared infrastructure for all consumer/worker protection enforcement. Consumer Services ($1.5M) handles complaint intake. The agency has 1,371 Inspector (Consumer and Worker Protection) records at $60,743 avg salary — these inspectors cover algorithmic pricing alongside dozens of other enforcement mandates. No "algorithm" or "pricing" or "disclosure" keywords appear in any budget line name.

What the Data Misses

The law took effect November 2025 — barely 2 months into FY2026. No enforcement actions, no penalties collected, no compliance audits completed yet. The compliance burden falls entirely on businesses (implementing disclosure labels on pricing). DCWP's enforcement will likely start with complaint-driven investigations, not proactive audits. The $1,000/incident penalty structure could generate significant revenue if enforced at scale against major retailers and e-commerce platforms, but this is speculative.

Key Context

NYC's algorithmic pricing disclosure law is the first of its kind in the US. It requires any business that uses personal data to set prices to display a clear notice to consumers. The law covers brick-and-mortar stores, e-commerce, ride-hailing surge pricing, hotel dynamic pricing, and any other automated pricing that considers personal data. Enforcement is complaint-driven through DCWP. The $1,000 per incident penalty is per customer, per transaction — meaning a single day of non-compliance by a major retailer could theoretically generate millions in penalties.