Chris Marsh manages the Workforce Productivity & Collaboration practice at 451 Research from S&P Global Energy Horizons, 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 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.
As enterprise AI strategies mature, governance demands outpace current platforms. AI-driven workflows can propagate failure at machine speed, and most platforms were not built for that. Orchestration is table stakes; the product opportunity now lies in the governing capabilities above it.
AI has moved from the pilot phase to a load-bearing element in the digital workplace. The tough question remains: Can organizations absorb it without compounding the complexity they already struggle to manage?
Voice of the Enterprise: Workforce Productivity & Collaboration provides you with actionable data and insight to track critical workforce transformation dynamics.
Data points from our Workforce Productivity & Collaboration, Digital Workplace Decision-Makers 2025 survey include information about business productivity and collaboration technologies, as well as digital transformation initiatives.
This online survey of approximately 500 respondents was conducted from Oct. 22 through Nov. 24, 2025. The margin of error for top-line statistics is +/- 4 points at the 95% confidence level.
AI has moved from the pilot phase to a load-bearing element in the digital workplace. The tough question remains: Can organizations absorb it without compounding the complexity they already struggle to manage?
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.
Frontier is OpenAI's bid to become the control plane for enterprise AI — capturing coordination rents the way cloud orchestration captured value above raw compute. The vision is sound. The trust gap, unproven semantic capabilities and a market that may not consolidate are not.
The prevailing narrative still treats AI as a productivity lever applied to existing work. Our 2026 research agenda starts from a different premise: AI is restructuring how work is designed, allocated, coordinated and made intelligent, and the enterprise technology stack is both a vehicle for that restructuring and a constraint on it.
As AI agents are adopted, there is a growing debate about whether AI will swallow enterprise apps or those apps will absorb AI. The surface debate misses more structural questions: Where does business governance sit, where does execution authority land, and who governs them?
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