Ema, HFS Push 3-Pillar AI Agent Framework as 76% of Firms Lack Readiness
Updated
Updated · MIT Technology Review · May 26
Ema, HFS Push 3-Pillar AI Agent Framework as 76% of Firms Lack Readiness
1 articles · Updated · MIT Technology Review · May 26
Summary
Ema and HFS Research framed “agentic business transformation” as a three-pillar model for enterprise AI adoption, arguing companies must redesign technology, workforce structures and performance metrics rather than bolt agents onto legacy operations.
76% of organizations say their current operations and infrastructure cannot support becoming agentic, even though 85% want to get there within three years, highlighting a widening gap between ambition and execution.
30% to 50% faster processes and 25% to 40% less low-value work are possible at scale in areas such as customer service, HR and sales, but Ema says that requires AI agents to act as connective tissue across systems.
By 2030, McKinsey expects three-quarters of current jobs to need redesign, upskilling or redeployment, while managers in hybrid human-AI teams will face new issues around trust, explainability and accountability.
One large Ema customer tripled measured ROI within two quarters after shifting from output metrics like AI accuracy to outcome measures such as contracts reviewed without human escalation.
With EU AI regulations looming, is a complete business overhaul truly necessary, or is there a safer, incremental path to agentic AI?
With AI automating complex work, how can companies prevent the irreversible degradation of critical human skills and judgment?
As 80% of firms report risky AI behavior, are we building hyper-efficient organizations that are also catastrophically fragile?
From Pilot to Production: The $9B Agentic AI Revolution Reshaping Enterprise Operations by 2026
Overview
By early 2026, agentic AI has rapidly shifted from research to real-world use, with autonomous systems now planning, reasoning, and executing complex tasks without constant human help. This swift adoption has surprised even optimistic analysts, as the global agentic AI market surpassed $9 billion and 40% of enterprise applications are expected to use task-specific AI agents by year-end. Widespread adoption by both consumers and businesses has dramatically increased computing demands, with forecasts predicting a 24-fold rise in token consumption. These trends highlight agentic AI’s transformative impact on enterprise technology and operations.