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From Hesitatio to Acceleration: The Diffusion of Robotics in Print
April 21 we hosted a webinar focused on Predictions of AI and Robotics for Print. You can check out the replay here. The webinar featured Mark Boyt of Keypoint Intelligence and Grant Copson of Cyan Tec. Both panelists offered excellent insights both in terms of market adoption for commercial printing in Mark’s case and Grant showcased Cyan Tec’s impressive innovation of real life applications of cutting edge robotics in use for industrial inkjet applications.
Discovering more about robotics from Mark and Grant has been enlightening. Clearly, for years, the print industry has sat in the early phases of adoption when it comes to robotics.
The technology has been visible. Proven. Widely deployed in adjacent manufacturing sectors. And yet, across much of print production, adoption has remained cautious - even hesitant.
But that is now changing.
What we are witnessing in 2026 is not the beginning of robotics in print, but the transition from slow diffusion to accelerated uptake.
Understanding the Lag
The theory of Diffusion of Innovation, first popularised by Everett Rogers, offers a useful lens.
Industries adopt new technologies in waves:
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Innovators
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Early adopters
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Early majority
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Late majority
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Laggards
Print, historically, has not been an innovator-led sector when it comes to automation. It is:
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Fragmented
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SME-driven
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Capital-sensitive
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Operationally diverse
Robotics has therefore faced familiar barriers:
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Perceived complexity
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Space constraints
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Investment caution
The result? A prolonged early adoption phase.
The Missing Layer: The Hype Cycle Effect
To fully understand what is happening now, we need to overlay a second framework: the Gartner Hype Cycle.
This model tracks how expectations evolve:
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Innovation Trigger
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Peak of Inflated Expectations
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Trough of Disillusionment
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Slope of Enlightenment
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Plateau of Productivity
Where Robotics Sits
In print, robotics has largely skipped the hype.
While sectors like automotive rode the full cycle decades ago, print encountered robotics more cautiously - entering somewhere between:
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Late Innovation Trigger
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Early Slope of Enlightenment
In other words, expectations have remained grounded. Adoption has been driven less by hype, more by necessity.
Where AI Sits
By contrast, AI is currently much earlier in the cycle.
Across industries, AI - particularly generative AI - has surged through the:
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Innovation Trigger
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Peak of Inflated Expectations
And is now, in many applications, entering the Trough of Disillusionment.
For print, this creates an interesting dynamic:
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AI is over-discussed but under-embedded
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Robotics is under-discussed but increasingly deployed
What’s Changed?
The shift now underway is being driven by a convergence of pressures.
1. Labour Reality
Skilled labour shortages are no longer cyclical - they are structural.
Robotics is becoming essential.
2. Technology Maturity
Robotics is now:
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Modular
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Safer (cobots)
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More cost-accessible
Led by ecosystems built around ABB, FANUC, and KUKA, the focus has shifted from hardware to application.
3. Production Complexity
Digital print has transformed the front end.
But finishing, handling, and logistics remain bottlenecks.
Robotics solves for this imbalance.
4. Proof Points
Real-world deployments are now visible:
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Robotic handling and palletisation
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Autonomous mobile robots
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Integrated finishing lines
Proof reduces perceived risk.
And when risk drops, adoption accelerates.
Crossing the Chasm
The industry is now moving from early adopters to early majority.
This is the inflection point.
At this stage:
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ROI becomes clearer
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Case studies replace concepts
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Peer validation drives decisions
The question shifts from:
“Should we?” → “How quickly can we?”
Why Print Took Longer
Print’s caution is not a weakness.
It is a function of:
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Tight margins
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High uptime requirements
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Conservative investment cycles
But this creates a pattern:
Slow adoption. Then rapid acceleration.
Robotics vs AI: A Strategic Reality
There is a risk in how the industry allocates attention.
AI dominates conversation.
Robotics drives operational change.
The most competitive businesses will not choose between them.
They will combine them:
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AI for workflow optimisation, scheduling, predictive maintenance
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Robotics for physical execution
Digital intelligence + physical automation
That is where real transformation happens.
The Acceleration Phase
The signals are now clear.
Robotics is entering the Plateau of Productivity phase within print - not because it is new, but because it is finally being applied at scale.
Expect:
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Broader deployment in finishing and logistics
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Integrated press-to-post-press workflows
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Entry-level automation solutions
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Stronger OEM–integrator collaboration
What This Means for the Industry
The window for passive observation is closing.
Engage now, and you:
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Solve labour challenges
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Increase throughput and consistency
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Build scalable production models
Delay, and you risk being locked into manual constraints.
Final Thought
Diffusion of innovation is slow - until it isn’t.
The Hype Cycle tells us expectations rise and fall.
But reality is built in the Slope of Enlightenment.
That is where print now sits with robotics.
Quietly. Practically. Decisively.
The industry is moving beyond conversation and into capability.
And once the early majority commits, acceleration is not a possibility.
It is inevitable.
