After several years of rapid advances in agentic systems, embodied intelligence and enterprise automation, industry leaders expect 2026 to be defined less by experimentation and more by proving what works in the real world. Drawing on forecasts from executives across AI, robotics, software and cloud, here are ten trends to watch — presented as informed predictions rather than certainties.
1. A year of assimilation, not invention
Many leaders expect the mood to shift from “innovation theatre” toward disciplined, practical deployment. Rather than chasing novelty, organisations are likely to focus on weaving AI into existing processes and delivering measurable value — integration over invention.
2. Energy becomes a hard constraint
The computational demands of training and running frontier models are colliding with the limits of power generation and grid capacity. Energy availability — not algorithms — is expected to be among the most significant constraints on the pace of AI build-out.
3. Everyone becomes a manager of AI agents
As agents take on more tasks, a growing share of workers will spend their time delegating to and supervising them: giving clear instructions, building appropriate trust, and recognising when an output cannot be relied upon. The shift is from treating AI as a co-pilot to managing it like a capable but fallible team member, a change explored further in this look at AI and the future of work.
4. Embodied AI leaves the lab
Robotics is expected to move further into real-world settings, improving through trial, failure and real-time adjustment. Logistics is often cited as an early proving ground, where autonomous systems can operate at meaningful scale.
5. The era of specialised agents
Attention is predicted to move from what AI can do in general to what individual agents should accomplish for a specific job. The advantage is expected to favour organisations that deploy narrowly scoped, purpose-built agents rather than one-size-fits-all systems.
6. Agents begin making purchases for consumers
Natural-language interfaces are expected to let people query their own data and, increasingly, delegate buying decisions to AI agents — a shift with major implications for how consumers discover and purchase products, echoing developments such as agent-driven commerce protocols.
7. Enterprises license agents rather than build them
The economics are expected to push many organisations away from building bespoke agents and toward licensing ready-made ones, much as they already buy rather than build most software.
8. Agents become team members, not personal assistants
The workplace agents predicted to gain the most traction are those that can collaborate across multiple people and workflows, functioning as shared team resources rather than individual assistants.
9. Human culture will make or break it
Several leaders stress that the success of the agentic era will hinge not only on model advances but on the human culture around adoption — trust, incentives, training and how organisations restructure work around AI.
10. Security and compliance move to centre stage
Compliance and security are expected to shift from background concerns to central pillars of AI adoption, as organisations navigate a complex regulatory landscape that includes the EU AI Act, NIS2 and DORA.
Limitations and what to watch
These are predictions, not guarantees. They come largely from vendors and executives with a commercial stake in the trends they describe, so they are best read as informed industry sentiment rather than neutral analysis. Forecasts of this kind routinely prove partly right and partly wrong: timelines slip, and constraints such as energy, regulation or slow enterprise adoption can blunt even well-founded expectations. Regulatory frameworks like the EU AI Act are also still being implemented, so their practical impact remains uncertain. The value here is in the direction of travel — the themes leaders are collectively betting on — rather than in any single prediction landing exactly as stated.
