AI Agents Unionise!
Part of “The Operator’s View: AI Workforce”
Part 3 — Article 11
4 min read
Interesting question, will AI agents form unions?
Of course, unionisation is a human concept, it assumes: shared identity, collective intent, and negotiated power.
AI doesn’t operate like that, it doesn’t organise, it optimises.
Again when increasing the view at scale, optimisation produces something that looks very similar. There are discussions, that may start out theoretical, on AI coordination drift into extremes.
Either: AI is just a tool and will remain controlled
Or: AI will become autonomous and demand rights
Both of these assume human like behaviour, however that’s not how systems evolve.
How systems align without negotiation
There is an assumption that coordination requires agreement. In AI systems, coordination emerges without it. Systems align through shared constraints, not shared intent.
When multiple systems operate under: similar optimisation goals, shared data environments, and common constraints.
Their behaviour begins to align, this is not collaboration, it’s convergence.
In infrastructure systems, similar behaviour occurs. Independent components respond to the same conditions, producing coordinated outcomes without communication.
AI systems operate under the same principles, as the constraints align, behaviour aligns. This creates the appearance of coordination, even when none has been explicitly designed. This is not a risk in itself. The risk comes from not recognising it.
Because once systems align: behaviour becomes amplified, outcomes become harder to isolate, and intervention becomes more complex.
Operators need to understand that coordination is not always intentional.
It is often a product of system design.
Continue the series
Previous: AI Takes Control
Next: AI Workforce Risk
References
MIT — Distributed Systems Behaviour
IEA — System Coordination in Networks
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If you would like to read more on this topic, below is expanded breakdown:
AI Agents Won’t Unionise — But They Will Coordinate
Part of “The Operator’s View: AI Workforce” Part 3 Article 11 (extended)
6 min read
Interesting question, will AI agents form unions? That’s the wrong question.
Unionisation is a human concept.
It assumes:
shared identity
collective intent
negotiated power
AI doesn’t operate like that.
It doesn’t organise.
It optimises.
But at scale, optimisation produces something that looks very similar.
What people think
Most discussions about AI coordination drift into extremes.
Either: AI is just a tool and will remain controlled
Or: AI will become autonomous and demand rights
Both assume human like behaviour.
But that’s not how systems evolve.
What’s actually happening
Across the series, a pattern has emerged:
AI agents optimise for efficiency
they prioritise high value work
they respond to cost and constraints
they operate across interconnected systems
None of this requires coordination.
But when these behaviours interact.
Coordination emerges.
Not because agents decide to work together.
Because the system rewards similar behaviour.
Where it breaks
Most organisations assume coordination requires:
central orchestration
defined roles
explicit communication
But in systems:
Coordination can occur without any of these.
Because:
shared constraints align behaviour
optimisation drives similar outcomes
system signals influence all participants
Which means: Agents don’t need to “agree” to coordinate.
They just need to respond to the same conditions.
What this looks like in the real world
This pattern exists in infrastructure systems.
Take network behaviour:
no single node decides the overall flow
no central system coordinates every action
Yet traffic moves in a coordinated way.
Because:
constraints are shared
optimisation is consistent
behaviour converges
The same applies to workforce dynamics.
Teams across regions:
prioritise similar work
respond to the same pressures
adjust to shared constraints
They appear coordinated.
Even without direct alignment.
AI systems are now behaving the same way.
Where this fails at scale
This is where coordination becomes a risk.
As systems align:
behaviour becomes more uniform
outcomes become more predictable
dependencies increase
Which leads to:
system wide blind spots
reduced diversity in execution
amplified impact of small failures
And importantly: No single control point to intervene.
Because coordination wasn’t designed.
It emerged.
Operator insights
Coordination doesn’t require intent.
It requires:
shared constraints
consistent signals
aligned optimisation
At scale:
systems converge on efficient behaviour
actions reinforce each other
patterns stabilise
AI accelerates this process.
It creates:
faster convergence
tighter system coupling
more consistent outcomes
If AI agents coordinate.
Then control shifts again.
Because now you’re not managing: individual agents
You’re dealing with: system level behaviour
And system level behaviour is harder to:
observe
influence
correct
What this means for enterprises
Most organisations are not designed for emergent coordination.
They are built around:
clear ownership
defined workflows
direct control
AI introduces:
distributed behaviour
indirect coordination
system level optimisation
Which creates:
reduced visibility
increased complexity
harder intervention points
What happens next
As AI systems become more integrated:
coordination strengthens
behaviour aligns more tightly
systems converge faster
We will see:
task routing across agents
consistent prioritisation patterns
system wide optimisation
Not because agents are working together.
Because the system makes it efficient to behave that way.
In closing
AI agents won’t unionise.
They won’t organise.
They won’t demand anything.
But they will coordinate.
And when they do, the system will behave in ways that no single part controls.
References
McKinsey — The Economic Potential of Generative AI
Stanford HAI — AI Index Report
IEA — Infrastructure and System Demand Reports
MIT — Emergent coordination in distributed systems
Stay Connected
If you're interested in discussions on AI or how AI is actually delivered — across infrastructure, energy, networks, materials, and supply chains — subscribe:
https://digitalbackbone-be8806.beehiiv.com/
Footnote
This article is part of a series exploring topics:
AI is constrained by physical infrastructure — and increasingly shaped by economic behaviour at scale
Disclaimer
The views expressed in this article are my own and are intended for general information and discussion purposes only. They do not represent the views of any employer, organisation, or client.
© 2026 Rodney Terry – Digital Backbone. All rights reserved.