S2488-119

In Committee

Empowering App-Based Workers Act

119th Congress Introduced Jul 28, 2025

Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.

Summary

What This Bill Does

The bill creates congressional findings establishing that app-based workers face poverty wages, wage theft, discrimination, and lack of transparency in algorithmic pay decisions, providing legislative basis for regulating, defines key terms including app-based worker, covered digital labor platform, take rate, automated decision system, electronic monitoring tool, time worked, and adverse action for purposes of regulating gig economy, and requires digital labor platforms to disclose to workers how electronic monitoring tools and automated decision systems are used, including algorithm inputs, data collection, pay determination methods, and work. It relies on compliance mandates, reporting requirements, liability protections, and exemptions. The main policy areas are Technology, Transportation, Labor, and Finance.

Who Benefits and How

App-based gig workers could face fewer barriers, Labor organizations and worker centers could face fewer barriers, and App-based ride-hail drivers could gain revenue opportunities.

Who Bears the Burden and How

Digital labor platform companies would take on compliance duties, Department of Labor would take on compliance duties, and Ride-hail platform companies (Uber, Lyft) could lose revenue opportunities.

Key Provisions

  • Creates congressional findings establishing that app-based workers face poverty wages, wage theft, discrimination, and lack of transparency in algorithmic pay decisions, providing legislative basis for regulating...
  • Defines key terms including app-based worker, covered digital labor platform, take rate, automated decision system, electronic monitoring tool, time worked, and adverse action for purposes of regulating gig economy...
  • Requires digital labor platforms to disclose to workers how electronic monitoring tools and automated decision systems are used, including algorithm inputs, data collection, pay determination methods, and work...
  • Requires caps take rate at 25% for ride-hail services; prohibits differential pay for similar work based on individualized worker data unless justified by cost differentials or collective bargaining; prohibits using...
  • Requires platforms and vendors to retain worker data for 4 years.

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.

At a Glance

What This Bill Does

The bill creates congressional findings establishing that app-based workers face poverty wages, wage theft, discrimination, and lack of transparency in algorithmic pay decisions, providing legislative basis for regulating, defines key terms including app-based worker, covered digital labor platform, take rate, automated decision system, electronic monitoring tool, time worked, and adverse action for purposes of regulating gig economy, and requires digital labor platforms to disclose to workers how electronic monitoring tools and automated decision systems are used, including algorithm inputs, data collection, pay determination methods, and work.

Key Policy Areas

Technology, Transportation, Labor, Finance

Primary Purpose

The bill creates congressional findings establishing that app-based workers face poverty wages, wage theft, discrimination, and lack of transparency in algorithmic pay decisions, providing legislative basis for regulating, defines key terms including app-based worker, covered digital labor platform, take rate, automated decision system, electronic monitoring tool, time worked, and adverse action for purposes of regulating gig economy, and requires digital labor platforms to disclose to workers how electronic monitoring tools and automated decision systems are used, including algorithm inputs, data collection, pay determination methods, and work.

Policy Domains

Technology Transportation Labor Finance

Empowering App-Based Workers Act

Identified Gains
  • App-based gig workers
  • Labor organizations and worker centers
  • App-based ride-hail drivers
  • State governments
  • Plaintiffs attorneys
Model: codex-gpt-5:bulk-repair | Version: bill_summary_v2 | Source: is
State governments:
Plaintiffs attorneys:
App-based gig workers: , , , , ,
App-based ride-hail drivers:
Labor organizations and worker centers: ,
Identified Costs
  • Digital labor platform companies
  • Department of Labor
  • Ride-hail platform companies (Uber, Lyft)
  • Third-party technology vendors serving platforms
  • Digital labor platform companies (Uber, Lyft, DoorDash, Instacart)
Model: codex-gpt-5:bulk-repair | Version: bill_summary_v2 | Source: is
Department of Labor: ,
Digital labor platform companies: , , , , , ,
Ride-hail platform companies (Uber, Lyft):
Third-party technology vendors serving platforms:
Digital labor platform companies (Uber, Lyft, DoorDash, Instacart):

Legislative Progress

In Committee
Introduced Committee Passed
Jul 28, 2025

Mr. Schatz (for himself, Mr. Murphy, and Ms. Baldwin) introduced …

Jul 28, 2025

Read twice and referred to the Committee on Health, Education, …

Jul 28, 2025

Introduced in Senate

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Technology
11 mentions across 11 clauses
+1 positive -9 negative ?1 uncertain

Digital labor platform companies, Digital labor platform companies (Uber, Lyft, DoorDash, Instacart), Ride-hail platform companies (Uber, Lyft)

Digital labor platform companies faces effects in multiple directions

Transportation
11 mentions across 10 clauses
+10 positive ?1 uncertain

App-based gig workers, App-based gig workers (drivers, delivery workers), App-based gig workers (ride-hail, delivery)

Government
3 mentions across 3 clauses
+1 positive -2 negative

Department of Labor

Department of Labor faces effects in multiple directions

Labor
3 mentions across 3 clauses
+3 positive

Labor organizations and worker centers, Labor organizations seeking to organize gig workers

Professional Services
2 mentions across 2 clauses
+2 positive

Plaintiffs attorneys, Plaintiffs attorneys specializing in labor law

State & Local Government
1 mention across 1 clause
+1 positive

State governments

General Public
1 mention across 1 clause
+1 positive

Consumers using platform services

Data Processing Services
1 mention across 1 clause
-1 negative

Third-party technology vendors serving platforms

11/15
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Transportation Labor Finance
Actor Mappings
"the_secretary"
→ Secretary of Labor

Key Definitions

Terms defined in this bill

7 terms
"take rate" §3_take_rate

The percentage of the total amount a platform charges consumers for on-demand transportation services (excluding tips) that is not paid to the app-based worker

"time worked" §3_time_worked

For on-demand services, all time an app-based worker is logged into the platform and available to perform services; for scheduled work, all time from reporting to work through completion of tasks

"adverse action" §3_adverse_action

An action that a reasonable person would find negatively impacts an app-based worker's access to or terms of work, including fewer assignments, reduced pay, suspension, deactivation, or termination

"app-based worker" §3_app_based_worker

An individual who performs work or provides services for remuneration on or through a covered digital labor platform, regardless of whether compensated by the platform provider or another person

"covered digital labor platform" §3_covered_platform

A platform provided through electronic means (app, website, mobile app) that provides services performed by app-based workers at consumer request, facilitates work in exchange for payment, and uses automated decision-making or electronic monitoring

"automated decision system" §3_automated_decision

Any tool, software, system, process using computation to issue outputs that augment, assist, or replace human judgment, decision making, or policy implementation

"electronic monitoring tool" §3_electronic_monitoring

Any system that facilitates collection of data concerning activities, communications, actions, biometrics, or behaviors of an app-based worker by means other than direct human observation

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology