Agentic AI in 2026: The sneak peek

Agentic AI may have dominated the predictions conversation in early 2025, but 2026 is the year where it really comes into its own.

“Technology leaders face a pivotal year in 2026, where disruption, innovation, and risk are expanding at unprecedented speed,” said Gene Alvarez, Distinguished VP Analyst at Gartner, in list of 2026 predictions.

“The top strategic technology trends identified for 2026 are tightly interwoven and reflect the realities of an AI-powered, hyperconnected world where organisations must drive responsible innovation, operational excellence, and digital trust.”

IDC expects a pivot to generative AI in 2026. According to the research firm, organisations experimented with generative AI in 2023 and 2024, whereas 2025 and 2026 will be about AI adoption.

“Organisations today are managing through economic and geopolitical uncertainty. Amid it all, agentic AI is emerging as a strategic inflection point,” said Meredith Whalen, Chief product, research & delivery officer at IDC, in a list of 2026 predictions.

“Our research shows that this new class of AI isn’t just speeding up innovation. It’s reshaping how work gets done, how people contribute, and how industries will grow in the years ahead.”

IDC’s FutureScape 2026 predictions reveal that Asia-Pacific enterprises are moving beyond AI pilots to enterprise-wide orchestration, where intelligent adoption drives innovation and competitive growth. IDC further forecasts that by 2030, 45% of organisations will orchestrate fleets of AI agents to enhance collaboration, accelerate operations, and ensure responsible governance.

“Tomorrow’s CIOs are not just technology stewards; they’re business architects. Building an AI-fuelled enterprise isn’t about technology alone, it starts at the top, where leadership defines purpose, accountability, and trust,” said Sandra Ng, Senior VP, Research, IDC, in an October announcement about the Futurescape 2026 Predictions Roadshow.

“The real differentiator lies in orchestrating intelligence across people, data, and ecosystems, creating value before velocity, collaboration beyond boundaries, and governance with conscience. As we move forward into the prediction years, AI is not an experiment but an evolving capability, one that learns, scales, and acts with integrity to turn insight into enterprise autonomy.”

Forrester has similar predictions, describing AI as moving from "hype to hard hat work" in 2026. With AI value "failing to land", the research firm said in a blog post that enterprises will delay 25% of AI spending to 2027. 

“Leaders can’t control the geopolitical and technology crosscurrents shaping today’s economy,” said Rick Villars, Group VP, Worldwide Research at IDC in a list of 2026 predictions.

“But with a clear AI transformation strategy, strong data and infrastructure, and a skilled AI-ready workforce, they can turn disruption into advantage and steer their organisations toward sustainable growth in the AI era.”

Gartner, on the other hand, has identified a trend towards multiagent systems (MAS), collections of AI agents that interact to achieve individual or shared complex goals.

“Adopting multiagent systems gives organisations a practical way to automate complex business processes, upskill teams, and create new ways for people and AI agents to work together,” said Alvarez.

“Modular, specialised agents can boost efficiency, speed up delivery, and reduce risk by reusing proven solutions across workflows. This approach also makes it easier to scale operations and adapt quickly to changing needs.”

Source: Syniti. David.

Agentic validation will come to the fore in 2026, predicted Cody David, Head of AI & Innovation, Syniti, part of Capgemini. "If there is one area where AI is already delivering unmistakable enterprise value, it is validation testing for large transformations such as ERP migrations and major data programs," he said. 

"Validation has always been a bottleneck. It is slow, manual, and difficult to repeat consistently across mock cycles. Agentic validation testing changes the economics. It can cut testing cycles from weeks to days, automate repetitive checks, and deliver consistent, explainable results that are audit ready. In many cases, it can reduce hundreds of hours of manual effort to a fraction of that time while improving consistency." 

"In 2026, validation will also become a control point for AI itself. Testing will increasingly verify not only data correctness, but also policy compliance, access boundaries, and traceability of AI outputs. This is where data first meets practical AI with measurable outcomes."

Agentic AI is just one of the topics covered in 2026 predictions in TechTrade Asia. More predictions will appear in January, 2026.

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