Agentic Drives AI Adoption
Agentic AI Drives Efficiency, Growth, and Competitive Advantage
As has become the norm, America continues to lead the way in both venture capital investment in AI and its business applications.
Informed opinion suggests that 2026 is when chatbots will turn into action heroes. Agentic AI is gaining footholds everywhere, fuelling rapid uptake of AI applications across industries.
In 2025, global VC investment in agentic AI rose to $6.4bn in deal value across 451 transactions, up from $4.6bn across 326 deals in 2024.
Internal acceptance of AI is growing through the ranks, with fewer than 25% now actively resisting adoption. Underpinning this shift are new statistics emerging from across the pond. Average ROI is hitting 35%, edging ever closer to the 41% universal benchmark widely considered the investment inflection point. Meanwhile, 61% of mid-sized CFOs state that AI is improving financial processes, up from just 38%.
An overwhelming 99% of organisations that have implemented agentic AI agree it has improved both operational efficiency and workforce productivity. However, they also report that as agentic AI takes on more autonomous actions, strong human oversight, governance, and guardrails remain essential.
Getting technical for a moment, ROI from AI is now hitting the 60% threshold on the ARC-AGI-2 reasoning scale, meaning it is scoring higher than the average human.
The ever-reliable McKinsey reports that 39% of organisations see a positive earnings impact from deploying AI at an enterprise level.
Stripe notes that AI startups are reaching key financial milestones, such as ARR, faster than ever before. They are expanding globally at speed and accelerating both revenue growth and adoption. AI is transforming not only what these startups sell, but also how transactions take place, with new business models and monetisation strategies rapidly emerging.
It comes as no surprise, then, that more mid-sized businesses plan to increase their expenditure on agentic AI.
Improved customer satisfaction remains the number one driver of adoption, while growth and value are increasingly coming from the use of proprietary data.
AI professor Andy Pardoe, founder of AI consultancy Informed.ai and agentic technology business Ten Squared.ai, has long advocated that AI strategies and implementation roadmaps must unlock organisational data. The state and management of data in organisations of any size is rarely perfect, often resembling a collection of data puddles rather than a single, consolidated data lake. However, this should not slow or halt progress. In practice, the need to build predictive analytics and intelligent capabilities often forces improvements in data quality and accelerates meaningful change.
The gap between businesses that grasp AI and those that do not is widening rapidly. For those who hesitate, prevaricate, or claim they lack the bandwidth or budget, this will become a competitive disadvantage they may never recover from. For many, it will be the decision that marks the beginning of their decline compared to more innovative and faster-moving competitors.
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