The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products

2026-06-13 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Software Development & Engineering · Depth: Advanced, quick

Summary

A study involving 35 industry developers investigated how they perceive, prioritize, and address risks in agentic AI products. The research found that developers' understanding of risk is directly tied to the agentic qualities of their products, such as autonomy, tool use, and real-world operational context. Developers consistently prioritized product and business-related risks over broader societal concerns like job displacement or end-user privacy. This prioritization significantly influenced their capacity and motivation to mitigate agentic risks. Furthermore, the study revealed a lack of mature risk controls, with developers often resorting to limiting the very characteristics that make agents useful, such as their autonomy and goal complexity. This highlights a fundamental tension between developing agentic capabilities and effectively controlling their associated risks.

Key takeaway

For AI Product Managers developing agentic systems, you must actively balance product functionality with comprehensive risk mitigation beyond immediate business concerns. Your current risk prioritization, favoring product and business risks over societal impacts like privacy or job displacement, can hinder effective controls. Implement robust, mature risk controls that do not solely rely on limiting core agentic capabilities. Proactively integrate societal risk assessments into your development lifecycle.

Key insights

Developers face a tension between agentic AI capabilities and effective risk control, often prioritizing business risks over societal impacts.

Principles

• Risk perception links to agentic qualities.
• Business risks outweigh societal risks in prioritization.
• Risk mitigation often constrains agentic functionality.

Topics

• Agentic AI
• AI Risk Management
• Developer Perceptions
• Product Risks
• Societal Impact
• AI Autonomy

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Scientist, AI Engineer, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.