On July 15, Michael VanDervort and Patricia Garland led a discussion on AI and trust in labor relations, examining how organizations communicate about AI internally and what those messages set in motion for employees, managers, and, in some cases, unions.
The conversation moved quickly from theory to lived experience: where AI is landing well, where it is creating friction, and where the real risks may be different from what organizations expect. Below is a recap of the key themes and takeaways.
Same Rollout, Different Signals
The session opened with a simple premise: how an organization communicates about AI helps determine what happens next. The same technology can build trust or undermine it depending on the message surrounding it.
Four types of messaging were shared, framed the discussion:
Investment in training, messaging that supports trust and adoption
Replacement/reduction of jobs, messaging that activates fear
Overpromising on AI effectiveness that later requires a credibility-damaging walk-back
Leadership statements or leaks that contradict official messaging
Where Adoption Is Actually Landing
Participants described a wide range of experiences.
In short-staffed environments, some organizations are reassuring employees that AI is intended to reduce pressure, not eliminate jobs. Workers have generally responded well when the technology is presented that way.
In clinical settings, physicians were described as eager to use AI for documentation so they can spend more time with patients. But enthusiasm was not consistent across functions. HR professionals in some organizations reported greater hesitation. Others reported they were encouraged to use AI without becoming overly dependent on it, while preserving the human judgment central to their work.
The Risk Is Not Always Replacement
One of the sharpest observations came from a participant in an industry with little immediate displacement risk.
Their concern was not job loss. It was supervisors relying too heavily on AI to interpret contracts, leading to inconsistent administration of the bargaining agreement.
That reframes the issue. The risk is not only that AI may replace someone. It is also that AI may quietly weaken the judgment labor relations depends on. That risk exists even where workforce displacement is not on the table.
Fear, Intimidation, and the Union Factor
Several participants identified fear and unfamiliarity as bigger barriers than the technology itself. Employees may not understand what AI is for, how it works, or how they are expected to use it. In that vacuum, it becomes easy to vilify.
That fear can also create organizing exposure.
One participant noted that unions raising concerns about automation often capture attention more effectively than official company communications. Some unions are deliberately emphasizing those fears as an organizing tool.
Where Unions are Already Reacting to AI
The discussion pointed to current examples of this playing out. A group called Tech for Respect is targeting large employers over AI-driven scheduling and productivity monitoring.
Unions themselves are split, building trades and data-center-adjacent unions are largely aligned with AI's growth, while nurses, flight attendants, creators, and port workers are pushing back against it as a threat. Bargaining over AI implementation is already showing up across industries well beyond office AI, robots, self-driving trucks, and performance-monitoring algorithms.
One entertainment-industry union's AI contract language came up as a model, not because other employers should aim for a union contract, but because its underlying principles, defining the technology clearly, requiring disclosure, and building in a recurring review, are things any employer can adopt on their own.
Rollout Approaches Are All Over the Map
Participants described dramatically different rollout strategies.
At one end, organizations required training and then allowed broad use, sometimes without involving HR in the rollout. At the other, employers limited AI use to a single approved tool and clearly defined when it could and could not be used, even though a formal policy had not yet been written.
A consistent conclusion emerged across both approaches: HR needs a seat at the table when AI policy is developed, not after decisions have already been made. Several organizations also described actively training HR teams rather than assuming employees already understood how to use AI effectively.
Sharing the Upside Before It Becomes a Demand
One participant raised a question worth serious consideration: if AI creates meaningful financial gains through automation, how will employees share in that benefit?
Organizations cannot wait too long to address that issue. Celebrating shareholder gains without offering a credible answer for the workforce is a quick way to lose employee support before implementation is complete.
Frame AI as Improvement, Not Replacement
A practical communication principle emerged from the discussion:
Reinforce positive outcomes, remain open to criticism involving transparency, accessibility, and improvement, and consistently frame AI as a tool for improving processes and effectiveness rather than replacing people.
It sounds simple. Participants agreed that it can make the difference between a message that builds trust and one that triggers resistance.
An Open Question Worth Carrying Forward
The session closed with a question no one fully resolved: is there a useful historical parallel for AI-driven workplace change, or is this transformation fundamentally different?
Mechanization, computers, automated production, and social media offer some precedent. Several participants, however, were not convinced those comparisons hold all the way through. That question will likely remain central as more organizations work through their own AI rollouts.
Resources
Writers Guild of America
AI contract protections (2023 and 2026 agreements)
UC Berkeley Labor Center
Negotiating Tech contract-language database A First Look at Labor's AI Values
LRI Ink
The AI Bargaining Wave Is Hitting Healthcare. Are You Ready?
How AI Is Impacting Labor Relations, and Why Employers Need to Pay Attention
HR Acuity
Tenth Annual Employee Relations Benchmark Study (2026)