Accenture identifies five ways AI creates business-wide value and scaling obstacles
Updated
Updated · ZDNet · May 1
Accenture identifies five ways AI creates business-wide value and scaling obstacles
7 articles · Updated · ZDNet · May 1
Drawing on more than 6,000 AI engagements, Accenture said 86% of organisations plan to raise AI spending in 2026, but only 21% are redesigning end-to-end processes around AI.
It said companies need governed, high-quality data, codified workflows, cloud-native modular architectures and workforce redesign, while warning 70% of technology budgets still support legacy systems that slow scaling.
Accenture described a progression from siloed to structural to systemic AI, with fewer than one in five organisations having modernised data, platforms, governance and talent enough for broad deployment.
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Breaking the AI Plateau: How Just 4% of Companies Achieve Enterprise-Wide AI Integration
Overview
By mid-2026, most organizations struggle to scale AI beyond pilots, with only a small fraction embedding it enterprise-wide or generating real business value. This AI plateau results from three main barriers: limited leadership vision and readiness, outdated infrastructure with fragmented data, and a lack of talent and cultural support. Leading companies overcome these challenges by building unified data foundations and investing in workforce upskilling and operating model redesign. Success also depends on strong leadership commitment, clear roadmaps, and responsible AI governance that fosters trust and continuous adaptation. Together, these elements enable organizations to move from stalled experiments to sustainable, enterprise-wide AI impact.