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Nº 08Veriteer journey - 2026 Digital Trends

§ Veriteer journey

2026 Digital Trends

The year digital stops being an ambition and starts being an operating test. Slightly overdue, but here we are.

2026 will not reward the organisations with the most AI experiments. It will reward the ones with the fewest excuses between a customer problem and a working capability.

Every trend report has a house style: list five technologies, announce they are accelerating, add a tasteful image of a robot hand, and retreat before anyone asks who owns the operating model. We will try to be more useful, if only for morale.

The big shift in 2026 is not that technology gets cleverer. Of course it does. That is its whole personality. The shift is that digital capability moves from the innovation side-stage into the operating core. AI, data, cloud, agents, digital twins and spatial interfaces will matter only where they change how the organisation works.

Bold call 01: the agent bubble will burst, and that will be excellent. A lot of agentic AI in 2026 is still a chatbot wearing a toolbelt. The winners will treat agents as governed workers: named jobs, scoped permissions, auditable actions, budgets, escalation paths and a clear definition of done. The prompt will matter less than the job description.

Bold call 02: SaaS seat pricing starts to look faintly ridiculous. If an AI agent can do the work directly across several systems, the commercial logic shifts from paying for access to paying for outcomes. Some software vendors will call this a monetisation challenge. Buyers may call it a long-overdue bill correction.

Bold call 03: AI ROI moves from content to operations. The first wave made words, images and code cheaper. Helpful enough. The more valuable wave will reduce operational drag: handoffs, reconciliations, status debt, manual reporting, missed decisions and the thousand tiny delays that make organisations feel older than they are.

Bold call 04: data foundations become fashionable in the least fashionable way. Enterprises will discover, again, that AI cannot reason beautifully across data it cannot access, trust, understand or govern. Data quality, lineage, access controls and semantic models will be the unglamorous work that separates production AI from a very enthusiastic demo.

Bold call 05: on-device and edge AI will make privacy a product feature. More intelligence will run locally: on phones, laptops, vehicles, store devices and operational equipment. This will not remove the cloud; the cloud is not packing a bag. But it will change what can happen close to the customer, close to the asset and close to the moment of decision.

Bold call 06: digital twins finally become useful outside the demo room. The valuable version is not a beautiful 3D model admired by executives in low light. It is a decision system: model the store, the fleet, the supply chain, the customer department or the factory; test interventions; compare scenarios; act faster with less superstition.

Bold call 07: cybersecurity becomes an AI operating discipline, not a specialist afterthought. Agents create new identities, new permissions, new attack surfaces and new failure modes. Security teams will need to govern machine workers with at least the seriousness usually reserved for humans who keep clicking suspicious invoices.

Bold call 08: the digital transformation office either becomes a capability engine or gets quietly absorbed into business-as-usual. The old model of coordinating programmes around platforms and vendors is too slow for what comes next. The new model builds reusable capabilities: data products, agent patterns, governance, measurement, product teams and change muscle.

The uncomfortable truth is that none of this is really about technology selection. The technology market will provide plenty. Possibly too much. The scarcity is organisational: clarity, ownership, confidence, disciplined prioritisation and the ability to stop things that are merely impressive.

The 2026 digital agenda is plain enough to be uncomfortable. Pick the customer or operational outcomes that matter. Build the foundations. Put AI where work actually moves. Give agents jobs with owners and limits. Make data usable. Govern the lot. Then measure whether anything got better. Someone should probably put it in a deck, for ceremonial reasons.

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