AI has moved from the edge of the technology agenda to the center of enterprise strategy. But the real story of 2026 is execution, and how few organizations have actually mastered it.
IDC has just published the IDC MaturityScape Benchmark: AI-Fueled Organization Worldwide, 2026, a study of 1,900 organizations across 20 markets. It measures how far enterprises have really progressed on AI across four dimensions, strategy, governance, people, and technology. The benchmark maps each to five stages of maturity, from an ad hoc “AI scramble” to the optimized “AI-fueled organization.” The picture it paints is sobering: aspiration is nearly universal, but maturity remains the exception.
Progress is real, but slow
Only 3.1% of organizations worldwide have reached the optimized stage, and just 12.8% have made it to the two most advanced stages overall.
Meanwhile, more than six in ten (61.3%) are still in the two least mature stages, ad hoc and opportunistic. The worldwide mean maturity score barely moved, edging up to 2.43 from 2.39 a year ago.
That near-flat result is the headline finding. The AI market is evolving at an extraordinary pace. Tooling, expectations, and competitive pressure are all escalating, but execution isn’t keeping up. The broad middle remains stuck in the early stages.
Yet beneath the flat average, a leading cohort is pulling away: the share of organizations reaching the optimized stage jumped from 0.4% to 3.1% in a single year. Becoming an AI-fueled organization is clearly achievable and a sustained journey.
“IDC’s 2026 benchmark confirms the disconnect between the AI supercycle’s rapid infrastructure buildout and organizations’ ability to execute. Strategy is outpacing delivery, talent remains the main barrier, and AI is still limited to incremental efficiency gains, not growth,” says Andrea Siviero, Vice President of AI-Fueled Business Strategies at IDC.
The gap between perception and reality
The most revealing finding comes from comparing how organizations believe themselves with how they actually score. IDC asked every respondent to self-characterize its AI approach, segmenting them into “survivors” and “thrivers.” The results are humbling: of the organizations that identified as thrivers, only about one in six reached the managed or optimized stages when scored against IDC’s methodology. In other words, roughly five out of six self-described AI leaders are, by IDC’s assessment, still operating in less mature stages.
The gap concentrates in the dimensions that are hardest to fake at scale. A company can readily claim a board-level AI strategy, but that ambition is repeatedly undercut by governance that hasn’t been formalized into enforceable controls, data and platform foundations that can’t support production, and a workforce that hasn’t been brought along. Strategy is outpacing delivery.
Where the real work lies
The dimension data explains why. Governance has advanced furthest, which is a notable shift, and the reason IDC elevated it to a distinct fourth dimension this year, as trust and risk management became prerequisites for scaling AI. Technology, by contrast, is the least mature dimension of all, with the highest share of organizations still stuck at ad hoc, held back by persistent gaps in data quality, integration, and production grade platforms.
Across the regions, North America leads worldwide, with roughly double the share of organizations at the most advanced stages compared with other regions, while EMEA and Asia/Pacific trail and cluster closely behind.
What comes next
This is the starting point for a deeper conversation. Regional editions and industry-focused deep-dives are also rolling out, giving leaders a sharper view of how they compare within their own market and sector, and where the fastest gains are.
“Organizations are recognizing that scaling AI isn’t just a technology challenge; it requires a deliberate strategy, strong governance, and a culture ready to embrace AI-driven change. Those that align business priorities with a coordinated AI road map will be the ones to turn experimentation into measurable business value,” adds Xiao Liu, Research Manager, AI-Fueled Business Strategies at IDC.
The winners of the next phase won’t be those with the loudest AI ambitions, but those who close the gap between strategy and execution, with disciplined governance, modern data foundations, and a workforce ready to work alongside AI.
Read the full study to see where your organization or your customers stand against the peers, and to prioritize the moves that most accelerate progress.