AI STRATEGY
The transition from generative to agentic AI represents one of modern-day computing’ s more significant shifts. While the previous era was defined by models that could summarise text or generate imagery on demand, the next age is one of autonomous action.
Agentic systems do not just provide answers. Instead, they execute workflows, reason through multi-step problems and interact with external tools to achieve complex goals with minimal human intervention.
AI, as has been widely asserted, is moving from a consultancy role to that of a co-worker. The scale of the transformation will surely be reflected in the market, with Fortune Business Insights projecting that agentic AI’ s value will jump from US $ 7.29bn in 2025 to an eye-watering US $ 140bn by 2034.
Unlike static tools, agents can navigate ambiguity, correct their own errors and manage projects from inception to completion. Research suggests this autonomy is already yielding tangible results: 82 % of organisations plan to integrate AI
90 April 2026