Happy LAIbor Day!
Can Knowledge Workers Still Replicate the Bargaining Logic of 1886?
Happy LAIbor Day!
This May Day, a pun has been stuck in my head: LAIbor (Labor + AI).
When knowledge labor is being irreversibly displaced by artificial intelligence, how exactly are we, the white-collar workers who spend our days shuttling between slide decks, workflows, and meetings, supposed to celebrate a holiday that belongs to laborers?
Let us turn the clock back exactly 140 years.
The Perfect Gambit of 1886: Trading “Time” for “Leverage”
On May 1st, 1886, workers in multiple American industrial cities moved simultaneously. Around eighty thousand workers took to the streets in Chicago alone, with hundreds of thousands more across the country joining the eight-hour workday movement. What they were fighting for became one of the most quoted slogans in labor history: “Eight hours for work, eight hours for rest, eight hours for what you will.”
Days later, the Haymarket affair exacted a bloody price. Strictly speaking, 1886 did not immediately deliver the eight-hour workday as we know it today. The real institutional victory was the cumulative result of decades of labor movements, industry negotiations, and legal reforms that followed.
But as an organization design consultant, once you see through the labor supply-and-demand structure of the time, you realize this was not merely a fight for more rest. It was an extraordinarily shrewd macroeconomic play.
America was in the midst of the Gilded Age industrial expansion. Mechanization and the factory system had lowered the skill barriers for traditional craftsmen across many production processes. Workshops no longer needed artisans who had fully mastered a trade. They needed cheap labor capable of completing partial tasks along a production line. Outside the factory gates stood an army of unemployed workers ready to step in at any moment. In the face of absolute labor surplus, individual workers had virtually no bargaining power.
So the pioneers found their breakthrough: time.
If the hours each worker could be deployed were compressed, and the production system still had to keep running, employers would have no choice but to hire more people, absorbing a significant portion of the surplus labor force back into the system. As unemployment pressure dropped, workers as a collective would have a chance to reclaim their leverage at the negotiating table.
They astutely recognized the powerful alignment between individual interest and collective interest, and used “shutting down the physical production line” as their ultimate weapon to force industrial capitalism to answer a fundamental question:
Are people laborers, or are they fuel?
No Copying the Playbook: Why Knowledge Workers Cannot Replicate This Today
140 years later, history has come full circle.
We face the same “skill downgrade.” Only this time, it is knowledge work being downgraded. AI is flattening the barriers to writing code, drafting copy, building reports, and even data analysis. Roles that once required three years of experience to fill competently can now be handled, at least passably, by a junior employee who knows their way around a prompt.
Knowledge workers are facing our own “labor surplus” crisis.
So can we, like our predecessors, form alliances and refuse to cede our positions to AI in order to force a compromise?
The answer is brutal: extremely difficult. This path is no longer as directly effective as it was in the Gilded Age.
The strikes of 1886 created enormous pressure because the assembly line stopped when workers stopped. But in the LAIbor era, if you decide to stop typing, your employer does not even need to wait for another person to sit down at your desk. They just need to reroute part of the workflow to large language models and automation tools.
The “strike vacuum” you use as a threat is precisely the void AI is best at filling.
What is more, knowledge workers’ interests are no longer unified. A senior consultant whose efficiency has doubled thanks to AI and a junior consultant who has lost entry-level opportunities because of AI are unlikely to sit in the same trench. AI has even, in the short term, significantly reduced the competitive threat that junior consultants pose to senior ones. When our collective interest base has been thoroughly fragmented, the traditional “workers’ alliance” loses much of its real-world foundation.
The New Guild of the LAIbor Era: Building Moats for the Elite
If traditional alliances are no longer effective, are knowledge workers truly at the mercy of algorithms?
No. Alliances still exist. They are simply undergoing a brutally Darwinian upgrade.
The alliance of the future is no longer “the weak huddling together for warmth” to protect low-level repetitive work. It is more likely to become “the collective lock-in of critical resources.” It increasingly resembles a new kind of guild.
The “digital guild” of copyright and data: consider the 2023 Hollywood writers’ and actors’ strike. Its lesson was not that “humans refuse to write or perform.” It was that they converted strike pressure into new rights boundaries: AI cannot simply devour credits, compensation, likeness, voice, and control over historical works. The real leverage was not “I quit,” but “you cannot bypass me to define my labor, replicate my labor, or train my replacement.”
The “gatekeeper network” of accountability and ethics: AI cannot go to prison. AI does not understand human nuance. In high-stakes domains like finance, healthcare, strategic decision-making, and organization design, the top knowledge workers of the future will form alliances based on professional integrity and the authority of final interpretation. AI can generate countless proposals, but the person who signs off on the layoff list, the financial report, or the medical diagnosis must still be a trained, certified human who is willing to bear the consequences.
In the industrial age, manual laborers fought for working hours.
In the AI age, knowledge workers must fight for Decision Rights: Who has the authority to decide whether AI can be used? Who has the authority to decide whether data can be used for training? Who has the authority to review, veto, interpret, and sign? Who bears accountability when things go wrong?
These questions are the new eight-hour workday of the LAIbor era.
Closing: Become the Arranger of Meaning
On this LAIbor Day, we must stay clear-eyed: competing with AI on efficiency is futile, and attempting to simply replicate the working-hours struggle of the industrial age to save our jobs is fighting the last war.
The only thing we can do is proactively move toward the domains where “AI cannot bear the consequences” and where “human friction” is irreplaceable, and build new barriers there. Your bargaining power no longer depends on how fast you execute. It depends on how deeply you judge, how clearly you explain, and how much accountability you are willing to bear.
To the pioneers of 1886, who proved that people are not fuel.
And to all of us in 2026. May we prove, in the jungle of AI, that people are more than code.
Happy LAIbor Day!