Chris Marsh manages the Workforce Productivity & Collaboration practice at S&P Global Market Intelligence 451 Research, which he established in 2016. His research focuses on the technologies that drive workforce transformation, organizational planning and employee engagement. His knowledge spans enterprise planning; portfolio, project and product management; and various digital workspace solutions, including team collaboration, content management, knowledge management and employee experience. Chris has 14 years of experience as a technology analyst, including a decade in program and team leadership. Chris joined S&P Global Market Intelligence following its acquisition of 451 Research in 2019. Prior to that, he was an industry analyst at Yankee Group, which 451 Research acquired in 2013. He also gained valuable experience working in a global customer insights role at Nokia. Known for being a trusted advisor, Chris provides clients with insights and feedback that drive progress across product, marketing, go-to-market strategies and overall business objectives. He and his teams work closely with senior executives and leaders in technology, marketing, communications and product development to anticipate trends, identify opportunities and navigate competitive market challenges.
Employee engagement remained resilient in 2025 despite economic uncertainty, accelerating adoption of AI-enabled tools and continued experimentation with organizational and work models.
Voice of the Enterprise: Workforce Productivity & Collaboration provides you with actionable data and insight to track critical workforce transformation dynamics.
Data points from the 2025 Employee Engagement survey include information about employees' sentiment toward their company and the work they do.
This online survey of ~400 respondents was conducted in November and December 2025. The margin of error for top-line statistics is +/- 4 points at the 95% confidence level.
Employee engagement remained resilient in 2025 despite economic uncertainty, accelerating adoption of AI-enabled tools and continued experimentation with organizational and work models.
Crosstabs (Excel tables | Download link in sidebar to the right) – Crosstabs of complete worldwide and regional survey results datasets, including key metrics and segmentation.
Charts and Figures (PowerPoint charts | Navigate charts in sidebar to the left | Download link in sidebar to the right) – PowerPoint slide deck of complete top-line survey results in charts and figures.
Data Insights Deck (PowerPoint charts | Coming soon) – PowerPoint slide deck of advanced charts supporting deeper analysis and insight.
AI doesn't stall because pilots fail. It stalls because organizations break under speed. This report presents a maturity model showing why more automation can reduce control, and what must align for AI to scale without fragility.
Agentic AI is fragmenting, and the adoption curve is now colliding with operational reality. Enterprises are deploying agents everywhere, but autonomy only expands where control matures. The result is a fast-moving, unstable market where governance and orchestration are likely to determine who wins.
AI is not just changing how work gets done — it is breaking the assumptions management was built on. As machines increasingly participate in decisions and coordination, managers carry responsibility without visibility, authority without control, and productivity without capability formation. Something has to give.
AI promises faster execution, but first it breaks coordination. As work moves faster across teams and systems, fragile commitments and slow governance are exposed, forcing organizations to confront the limits of today's execution models.
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