Trend 1: AI Everywhere – From Generative AI to Autonomous Agents
What is Agentic AI?
Agentic AI refers to autonomous systems that execute tasks, make decisions, and learn from feedback with minimal human input. Unlike basic chatbots that only respond to prompts, these agents can initiate actions within defined guardrails. For example, the sales team might use an AI agent to analyse CRM data and draft personalised follow-up emails. In short, agentic AI senses, decides, and acts toward a goal, functioning like a digital team member. Gartner describes this as a “virtual workforce” that augments human work, moving beyond query-and-response bots to self-driven process orchestration.
Gartner actually named Agentic AI the #1 strategic tech trend for 2025 and beyond. The reason: it has become feasible to deploy AI agents in core business workflows, and companies that leverage them stand to gain a huge efficiency and speed advantage. Adoption is accelerating fast – Gartner predicts 40% of enterprise applications will have integrated AI agents by the end of 2026, up from less than 5% in 2023. This means we’re reaching a critical point: CIOs have a narrow window (the next 6–12 months) to define their agentic AI strategy or risk being outpaced.
How is Agentic AI Driving Business Growth in 2026?
By offloading routine tasks to AI, humans are able to focus on strategic, value-creating work. Gartner predicts that within a few years, at least 15% of all day-to-day work decisions could be made autonomously by AI agents – leading to faster cycle times and the ability for businesses to capitalise on opportunities (or mitigate issues) far more quickly than competitors.
Early adopters of agentic AI will be able to handle greater scale and complexity in their operations, supporting business growth without an equal spike in complexity for their human employees.
Critically, CIOs must pair AI adoption with human readiness. Success with AI isn’t only technical; it requires upskilling teams and managing behavioural impacts. Organisations that treat AI as a collaborative partner (with proper governance and training) will amplify human potential; those that don’t may see AI initiatives stall or even erode workforce skills.
Trend 2: Do More with Less
CIOs are stepping beyond traditional IT boundaries to become strategic business leaders. By working hand-in-hand with fellow C-suite executives, they’re harnessing technology to support operations and streamline efficiency. This evolution positions CIOs as pivotal drivers of business success.
Gartner’s latest CIO Agenda highlights that 57% of CIOs are under pressure to improve workforce productivity, and 52% face pressure to reduce costs. Across Gartner, Forrester, McKinsey and others, there is a clear and growing mandate that IT investments must demonstrably translate into business outcomes. CIOs are no longer encouraged to link tech spend to value; they are being required to do so by CEOs, CFOs and boards as we head into 2026. This trend is in direct response to the “do more with less” mandate.
Tool consolidation: A case study from Robert Walters
Most enterprises have accumulated a large stack of digital tools over the years. On paper, each tool might serve a niche need. But in practice, too many tools can create chaos instead of efficiency.
Before its transformation, Robert Walters – a global recruitment consultancy – had over 350 different business applications in use, with data sprawled across 3,000+ SharePoint sites. Employees found it incredibly difficult to find what they needed or know where to pay attention. Important updates were getting lost in the noise. This was a major impetus for change.
Read the full case study to see how Robert Walters have consolidated their digital workplace tools.