The 2026 State of AI in Portfolio Management report makes headlines
Last month, we launched our 2026 State of AI in Portfolio Management report, polling 300 senior project, portfolio, and PMO leaders on how AI is showing up in their planning and delivery work.
It showed where AI adoption and AI delivery diverge, and what changes once agents move out of pilot mode and into production work.
The report has resonated with its audience — picked up by project management, martech, and enterprise tech outlets that are pulling out the findings that matter most to their readers.
The roundup
MarTech Series focused on what happens once agents move into production, pointing to the finding that 39% of leaders can't tell AI-produced work apart from human work, and tied it to Tempo's recent launch of Workforce Intelligence.
FinTech News broke down the split between piloting AI and putting it to work: 91% of organizations are piloting or actively using AI, but only 33% currently delegate real delivery work — coding, documentation, QA — to agents.
VMblog highlighted a different number: only 30% of leaders have a tool that effectively connects strategic planning to execution, and read that as the case for what Tempo calls Intelligent Portfolio Orchestration.
The Agile Brand Guide dug into the report's recommendations for leaders moving past early pilots — unified platforms with built-in cost attribution, regular audits of agent performance, and red-teaming AI models before mission-critical rollout.
House of PMO placed Tempo's research alongside recent data from APM and PMI, examining what more data, more AI, and more complexity mean for the PMO's role in helping organizations make better decisions.
