Two Predictions on AI and the Enterprise

Prediction 1 – The drag will continue a little longer

AI will continue to underdeliver for most organisations, not because the technology isn’t ready, but because businesses can’t keep pace with how fast it is evolving.

Enterprises typically lag technology by 18 to 24 months. With AI, that gap is widening week by week.

By the time many companies seriously started on GenAI, the frontier had already moved on. From task assistance, to agentic patterns, to orchestrated agentic systems. As AI moves from prompts to conversations, from instructions to intent, the interface itself is dissolving—and most enterprises are still figuring out how to write a good prompt.

Faced with that gap, teams don’t lack ambition, they lack visibility of what’s actually possible. As a result, they default to small, incremental change. GenAI-style tools, often not designed for the enterprise, get deployed on top of processes that are already broken.

The noise increases. Pilots multiply. Dashboards fill up. Activity looks high but Impact stays low.

Without education across all parts of the organisation from technology to business on how to think about AI as an intelligent system, not a feature or a tool, organisations will miss the true potential in favour of simply bolt on solutions that really bring little transformational power.

The real constraint going into 2026 is not the technology, it's human: competence, knowledge, trust, belief, and organisational lethargy.

That's why AI feels disappointing in so many businesses. Not because it can't deliver, but because it's being asked to operate inside yesterday's thinking. The good news? This isn't a technology problem. It's a clarity problem. And clarity can be created.

Prediction 2 – The agentic shift will happen in 2026

2026 is the year orchestrated intelligent systems become embedded in forward-thinking organisations. These aren't collections of tools or agents, but integrated intelligence layers that fundamentally rewrite how work gets done, blending human and agentic capability naturally across every interaction.

These systems are already running in production across banking, retail, travel, telco, energy, insurance, hi-tech, legal, construction, training, and compliance. We can show many of them working.

Processes that once took days now complete in minutes, or disappear entirely. Work that required multiple handoffs now flows end-to-end. Learning and compliance happen in the flow of work, reducing risk before it becomes exposure. Operations that once scaled by doubling headcount now scale without adding people. Issues get resolved before they create customer contact, improving experience while reducing demand.

Quality assessment and agent assist become by-products of a strong intelligence layer. Chatbots don’t hold intelligence; they draw from shared intelligence to deliver outcomes.

This is the moment boards start asking why the organisation is still operating the old way. When the performance gap shows up in the P&L, not just in efficiency reports.

For leaders willing to step back and DREAM about how work should actually flow, not how it flows today, this is where AI stops being a project and becomes how the organisation operates.

We don’t pitch what’s possible. We show it working in your world.

Dare to DREAM with Ethenta.