Eagle Hill Survey Finds Workplace Culture Lags AI Adoption
Eagle Hill Consulting said in a press release that AI adoption is moving faster than changes to workplace culture and work design. Its survey found that companies use AI for business operations (73%), decision support and analytics (72%), and employee productivity and knowledge work (71%).
Respondents reported gains in employee productivity (66%), operational efficiency (59%), work quality (55%), and customer experience (53%). They also said AI increased opportunities for employees to build expertise (89%), focus on high value work (88%), and perform creative or intellectually engaging work (87%). Fifty eight percent reported lower employee burnout.
However, 84% identified at least one cultural barrier. These included employee reluctance to change established practices (30%), governance processes that slow experimentation (27%), and short term priorities displacing AI experimentation (26%). Only 18% cited work redesign as a major contributor to AI success, while 9% cited culture.
The survey found that 45% of organizations continuously review and improve work as AI changes, while 47% systematically identify AI opportunities across the business. Only 31% include employee AI development in broader business and workforce planning. Ipsos surveyed 306 directors and more senior leaders at US companies with at least $100 million in annual revenue and established AI adoption from August 3 to 6, 2026.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 9 Workday Named Market Shaper for AI Agents in HR Oct 9 Omnicom Media and Rembrand Bring In Content Ads to Streaming Oct 9 Orion Innovation Earns ISO/IEC 42001 AI Management Certification Oct 9 Google Adds Unified AI Agent to Gemini for Businesses Oct 9 Google Launches Gemini Enterprise Workplace AI PlatformEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
PwC survey finds AI use rising as training access falls
IBM Study Finds Gap on Critical Thinking Skills for AI
BCG Finds Nearly Half of Companies Generate Value From AI
UpKeep Survey Finds Maintenance Teams Adopt AI Without Company Programs
AMA Survey Finds Managers and Employees Split on Engagement as AI Use Grows
Daily AI Brief: the AI news that matters, in your inbox.