Employees Doubt AI Reliability But See It as Essential for Work
Asana's Global State of AI at Work 2025 report reveals 64% of employees find AI agents unreliable, yet 76% consider them fundamental to the future of work, highlighting a trust gap and the need for better training and governance.
According to Asana's Global State of AI at Work 2025 report, 64% of employees believe AI agents are unreliable, yet 76% view them as a "fundamental" part of the future of work.
Key Findings
- Adoption vs. Trust Gap: 74% of UK workers are already using AI agents, but nearly two-thirds worry about their reliability.
- Accountability Issues: 39% believe no one is responsible for AI mistakes, while 20% blame end users, 18% IT teams, and 9% the creators.
- Lack of Governance: Only 10% of organizations have clear ethical frameworks or deployment processes for AI agents.
The Growing AI Debt
- 79% of organizations risk accumulating "AI debt" due to unreliable systems and poor oversight.
- Only 18% of businesses measure AI errors, despite 63% of employees citing accuracy as a top priority.
The Need for Training and Clarity
- 82% of employees say training is "essential," yet only 32% of organizations provide it.
- Mark Hoffman, Work Innovation Lead at Asana, emphasizes: "Access to AI tools isn’t enough. Employees need training, clarity, and guardrails."
HR's Role in Bridging the Gap
Hoffman concludes that HR leaders are key to closing the trust gap by redesigning workflows and implementing clear governance. Organizations investing in these areas are already seeing real impact.
For more insights, read the full report here.
Related News
AWS extends Bedrock AgentCore Gateway to unify MCP servers for AI agents
AWS announces expanded Amazon Bedrock AgentCore Gateway support for MCP servers, enabling centralized management of AI agent tools across organizations.
CEOs Must Prioritize AI Investment Amid Rapid Change
Forward-thinking CEOs are focusing on AI investment, agile operations, and strategic growth to navigate disruption and lead competitively.
About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.