Union & Bargaining Rights
Strengthened collective bargaining frameworks that give workers a formal voice in AI adoption decisions and a share of the resulting productivity gains.
What it is:
Union and bargaining rights are legal protections that allow workers to organize collectively and negotiate binding agreements with employers over wages, working conditions, job security, and workplace governance. These rights take many forms across different countries: from enterprise-level unions that negotiate with individual employers, to sectoral bargaining systems that set standards across entire industries, to works councils that give employees a formal consultative role in management decisions. The common thread is that they give workers collective leverage that individual employees lack, particularly in decisions about how work is organized and how the returns from productivity are divided.
In the context of AI adoption, collective bargaining provides a mechanism for workers to shape how automation is introduced rather than simply absorbing its consequences. Without a formal voice, workers typically learn about AI deployment after decisions have been made, and adjustment takes the form of layoffs, reassignment, or reskilling mandates designed by management alone. Bargaining rights allow workers to negotiate over the terms of AI adoption before it happens: mandatory advance notice requirements before deployment; joint labor-management technology review committees with ongoing oversight authority; required disclosure of algorithmic decision-making logic; retraining provisions; negotiated data-stewardship agreements that compensate workers when their performance data trains AI systems; and agreements on how productivity gains are shared through higher wages, shorter hours, or profit-sharing. Where bargaining coverage is broad — as in the Nordic countries or Germany — these negotiations can shape AI adoption norms across entire sectors rather than leaving outcomes to firm-by-firm power dynamics.
The challenge:
The main challenge is that bargaining power has been declining in most advanced economies for decades. Union membership in the United States has fallen from 20.1% of the workforce in 1983 to 10.0% in 2025, and private sector unionization stands at just 5.9%. This means the workers most exposed to AI displacement — in logistics, customer service, data entry, and content production — are largely unorganized and lack the institutional infrastructure to bargain collectively over AI adoption. Strengthening bargaining rights also faces employer resistance, particularly from technology firms that have historically resisted unionization. There is a further tension between protecting incumbent workers and enabling beneficial automation: overly-restrictive bargaining requirements could slow AI adoption in ways that reduce competitiveness or delay productivity gains that would ultimately benefit workers and consumers. And in a global economy, firms can shift operations to jurisdictions with weaker labor protections, limiting the reach of any single country's bargaining framework.
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Real-world precedents:
In 2023, Hollywood writers and actors won a 148-day strike that secured consent and compensation requirements for any use of their digital likenesses. The Writers Guild of America secured contract language establishing that AI cannot be considered a "writer" and cannot replace human-written material as source material, that writers retain full credit and compensation even when AI tools are used, and that studios must disclose if AI-generated material is provided to a writer.
SAG-AFTRA negotiated similar protections requiring informed consent and fair compensation for the use of actors' digital replicas, while prohibiting studios from using AI to circumvent minimum compensation requirements.