AI and Jobs: Navigating Risks and Achieving Victory
Employees' Concerns about Generative AI and Resistance to Change
The Impact of AI on the Work Environment and Employee Concerns
Employee Concerns about Generative AI
Rapid AI Adoption
Employee Anxiety and Marginalization
Job Loss Risks
In the workplace, concern is growing over the non-cash integration of AI, especially Generative AI. Many employees, including AI engineers who primarily work on non-generative machine learning models, feel that senior management is pushing for the adoption of AI tools without sufficient consideration for their true benefits, financial, human, and environmental costs. These employees fear expressing their concerns for fear of losing their jobs, leaving them feeling isolated in a work environment blindly optimistic about AI.
The adoption of AI in the workplace is a reality, not just a future prediction. In 2019, approximately 80% of large companies had integrated AI into their core business operations, and nearly 50% of employees use AI daily (Oracle, 2019). However, this rapid integration often outpaces organizational readiness, as many rush to adopt AI tools without adequate consideration for the employees who must adapt to these technological innovations (Lin et al., 2025).

Collective Action and Unions to Face AI Challenges
The Power of Collective Action to Face AI
Uniting Efforts
Protecting Rights
To counter this non-cash integration of AI, collective action is recommended. Instead of individual risk-taking, employees can build a collective resistance movement. Labor unions are already showing successes in this area, such as the Writers Guild of America winning important protections around AI for Hollywood writers, and the Service Employees International Union negotiating with the Governor of Pennsylvania to create a labor council to oversee the implementation of Generative AI in government services. Nurses' unions have also fought for the right to determine how AI is used in patient interactions.

Community Organizations and Grassroots Movements for Fair Technology
Organizations Supporting Fair and Responsible Technology
Algorithmic Justice
Accountability and Transparency
Grassroots Movements
If forming a union is difficult in the workplace, there are other organizations to join, such as the "Algorithmic Justice League" or "Fight for the Future," which advocate for fair and accountable technology. There are also grassroots groups like "Stop Generative AI" that aim to organize a resistance movement and provide mutual aid to those affected by the spread of AI.

Local Resistance to Data Center Projects
Local Efforts to Resist Data Centers
Massive Data Centers
Successful Local Resistance
Local efforts are also showing success in resisting the massive construction of energy-intensive data centers used to power the AI boom. Local activists have already hampered or delayed $64 billion worth of data center projects across the United States.

Social Change and Uniting Efforts for the Future of AI
Social Change and the Future of AI
Concern vs. Excitement about AI
Support for AI Regulation
Butterfly Effect of Change
Positive Vision for the Future
Experts indicate that social change often occurs in non-linear ways, where small actions can lead to butterfly effects resulting in significant structural outcomes. Although employees may feel isolated, there is a broad base of general concern about AI. Surveys show that 50% of Americans are more concerned than excited about the rise of AI in daily life, and 73% support strong AI regulation. Therefore, individuals are encouraged to seek allies and develop a positive vision for the future of technology and work together to achieve the future they desire.

