Q. What’s the most comforting myth the digital print world still tells itself going into 2026 — especially about what brands will actually pay for?
The most comforting myth going into 2026 is that brands will pay more simply because something is personalised or variable.
In reality, brands don’t buy variation for its own sake. They buy confidence and are willing to pay for the ability to launch campaigns faster, with fewer errors, less manual work, and predictable results.
If personalisation or customisation introduces risk, complexity, or operational friction, it becomes a cost, not a premium.
Uniqueness only has value when it fits cleanly into an existing marketing and production machine. I can tell you that we are putting a lot of focus on this in the Creativity Power Pack workflow.
Q. Where can print work be more tightly integrated with digital platforms in 2026 — and what’s the biggest blocker?
Print can integrate most tightly with digital platforms through connected packaging, where a printed identifier becomes a stable bridge between the physical product and digital systems.
A unique code on a package can link to a CRM record, trigger a digital experience, and generate measurable feedback without changing the physical supply chain every time.
What holds this back most is not data or creativity, but organisational silos. Packaging, IT, legal, marketing, and operations often work on different timelines with different ownership models.
Even when the technology is available, integration stalls because no one owns the full lifecycle of the printed identifier and its digital behaviour.
Q. Variable data has been “the next big thing” for years. In 2026, what makes it finally commercially compelling — and what still turns it into a gimmick?
Variable data becomes commercially compelling when it stops behaving like a special project and starts behaving like infrastructure.
When a team can reuse the same design logic, datasets, and workflows to launch the next campaign with small adjustments instead of starting from scratch, variable data becomes efficient rather than exotic.
It turns into a gimmick when every campaign requires heroic effort, custom logic, and constant supervision. If it can’t be repeated easily, scaled safely, or explained clearly in a budget discussion, it doesn’t survive beyond the first few showcases.
I also think generative art and generative AI are becoming genuinely important for variable data, not because they create novelty, but because they expand what can be varied in a controlled way.
Code-driven logic, generative graphics, security patterns, and AI-assisted image creation allow variation to move beyond swapping text or images and into structured visual systems that still respect brand rules and production constraints.
When these capabilities are embedded in repeatable workflows, they raise the ceiling of what variable data can do without turning it into chaos.





