The Future of Work is Here: Empowering Unionized Healthcare Workers in the Age of AI!

By Betelhem Michael, Founder of MindKind Collective

Artificial Intelligence is rapidly transforming healthcare. As AI systems automate tasks such as documentation, triage, diagnostics, and administrative functions, a subtle shift is occurring: the declassification and fragmentation of unionized roles.

AI is not just replacing jobs; it is redefining work by removing certain tasks from union protections and reshaping the concept of what it means to be a healthcare worker. When a job becomes an algorithm, who safeguards the worker? When a role is enhanced by technology, does it still belong within the bargaining unit?

Classification Erosion refers to the process where AI takes over tasks previously handled by union members without initiating collective bargaining. This raises significant concerns, as it allows roles once protected by collective bargaining agreements to become automated, potentially resulting in job insecurity and a loss of worker rights.

Loss of Density: New "hybrid" or "non-core" positions often fall outside union jurisdiction, undermining union strength.  These roles can be contracted out to workers in other states which fall outside the original NLRB organizing agreement. 

Job Insecurity: Workers may face reductions in force, redeployment or redundancy(?) without sufficient safeguards such as reskilling opportunities, or meaningful consultation. This issue extends beyond the workforce; it is fundamentally a matter of solidarity. If unions do not act now, they risk being sidelined in the future of healthcare. We must unite and take collective action to confront the impact of AI on healthcare jobs.

What Can Unions Do?

1. Negotiate AI Language in Contracts: Ensure that contracts require transparency, accountability, and effects bargaining before new technology is deployed.

2. Establish Joint AI Oversight Committees: Collaborate in overseeing technology decisions that affect care delivery and staffing.

3. Map Tasks, Not Just Titles: Identify and protect job components that are vulnerable to automation or reclassification.

4. Lead Upskilling and AI Literacy: Initiate union-branded training programs to prepare members for the future job market.

5. Shape Policy Through Coalitions: Partner with patient advocates, digital justice leaders, and community coalitions to advocate for ethical AI practices and amplify workers' voices.

A Just Future Requires Intentional Design

AI should enhance care without undermining caregivers. At MindKind Collective, we believe in designing the future of work with dignity, equity, and a collective voice at the forefront. Let's create a future where workers are not just adapting to change, but actively driving it.