HCLTech, Nasuni AI Adoption Reports
Analysis based on 22 articles · First reported May 18, 2026 · Last updated May 22, 2026
The reports from HCLTech and Nasuni highlight significant challenges in enterprise AI adoption, including high failure rates and data management issues. This could lead to increased demand for consulting and data management services from companies like HCLTech and Nasuni, as enterprises seek to mitigate risks and improve AI outcomes.
HCLTech released its 'AI Impact Imperatives, 2026' report, based on a global survey of 467 senior executives, revealing that nearly 43% of major AI initiatives are expected to fail due to an execution gap. Enterprises face pressure to deliver measurable value from AI investments within 18 months, but struggle with translating ambition into consistent, enterprise-wide outcomes. The report emphasizes the critical need for cross-functional coordination, decision-making clarity, and change management, particularly in preparing employees to work alongside AI. Vijay Guntur, CTO of HCLTech, highlighted that success depends on organizations adapting structures and risk tolerance. Separately, Nasuni's 'State of Enterprise File Data Annual Report 2026' corroborated these challenges, finding that 97% of enterprises adopt AI agents, yet 57% of projects fail to meet objectives, primarily due to unstructured data management issues. Samuel King, CEO of Nasuni, stressed that AI success hinges on effective data management.
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