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The article primarily addresses the implementation challenges of generative AI in enterprise settings, specifically focusing on the gap between organizational ambition and practical value delivery due to cost concerns and tool fragmentation. It analyzes how professionals are shifting from broad experimentation to selecting solid production use cases to ensure AI initiatives yield tangible results. This discussion centers directly on the operational realities and strategic deployment of AI technologies within business contexts.

Sources coveringZDNet, The Verge, Fortune, SiliconANGLE

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

91% of professionals say their firm still falls short on AI - how to fix that

ZDNetAugust 28, 20267 min read

Research suggests a gap between AI ambition and on-the-ground reality, but the good news is that professionals can fill it by focusing on well-grounded explorations and solid production use cases.

Follow ZDNET: Add us as a preferred source on Google. Professionals believe AI isn't delivering value. Too many organizations suffer from tool blast. Focus on strong use cases to deliver uplift. As many as 91% of employees say their organization is falling short of reaching the value that AI can deliver, according to the 2026 Future of Professionals Report from global content and technology company Thomson Reuters. The research, based on a global survey of 1,800 professionals from multiple sectors, shows a widening gap between AI ambition and reality, which is becoming an increasingly significant issue, Kirsty Roth, chief operations officer at Thomson Reuters, told ZDNET. Eighteen months ago, employees were eager to experiment with AI, and their bosses were keen to support these explorations. Today, it's another…

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