{
  "id": 5570143,
  "title": "Your AI strategy has an employee problem",
  "url": "https://urgent.news/2026/09/04/your-ai-strategy-has-an-employee-problem",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-04T13:00:00.000Z",
  "source": {
    "name": "Fast Company",
    "slug": "fast-company",
    "url": "https://www.fastcompany.com/91598049/your-ai-strategy-has-an-employee-problem"
  },
  "original_language": "en",
  "account": "Companies are pouring billions into AI transformations, yet many workers are struggling to utilize AI effectively. Gartner projects AI spending to reach $2.59 trillion this year, a 47% increase from 2025. While employees find AI useful for administrative tasks, freeing up time for more impactful work, the overall business results remain unclear. A study by Domino Data Lab reveals that 57% of enterprises have yet to see a return on investment (ROI) that surpasses their AI expenditures since 2025.\n\nAlthough organizations recognize the value of equipping their workforce with AI tools, many fail to provide adequate management and support to enable employees to generate meaningful business outcomes such as increased revenue, reduced operating costs, and enhanced productivity. Despite 90% of employees feeling confident in using AI, a third admit they have spent more time trying to get AI to perform tasks than they would have done manually.\n\nThe disparity between employees' confidence in AI usage and the desired business outcomes is evident. WalkMe's AI at Work Pulse survey indicates that while 90% of U.S. workers feel confident using AI, half have spent more time trying to make AI perform tasks than the tasks would have taken manually. This gap is partly driven by managers who expect AI to boost efficiency. Over half of surveyed employees reported that their managers expect them to deliver the same output in less time, and 33% admit to pretending to be more skilled at using AI than they actually are.\n\nThe pressure to master AI is causing employees to make poor decisions and suffer from burnout. A PwC survey of financial services executives found that 86% believe AI skills training is more important than an MBA for new hires. However, senior leaders are not immune to this issue, with over 40% of them pretending to understand their company's AI strategy during stakeholder communication.\n\nTo overcome this AI confidence trap, companies must invest in digital adoption infrastructure, change management frameworks, and contextual guidance to help employees effectively use AI. Managers, who are tasked with supporting team AI use, are often caught in the same predicament as their employees. More than a quarter of managers have pretended to know how to use AI in meetings or presentations. For effective implementation, IT and learning and development departments must collaborate to ensure AI is personalized for individual tasks and functions. However, these departments are under-resourced, with nearly a quarter of employees having received no AI training and 39% receiving conflicting guidance on tool usage.\n\nThe key to successful AI adoption lies in measuring how AI is used by individuals and teams to identify areas where work breaks down or efficiencies are gained. Companies need to build guidance and context into their tools instead of relying on separate training programs. Ultimately, it's not just about having AI tools or investing heavily; it's about implementing the right strategy and support system to drive business outcomes.",
  "summary": "Companies continue to invest billions in their AI transformations, while their workers struggle to use AI effectively. Gartner forecasts AI spending to grow to $2.59 trillion this year, an increase of 47% from 2025. As AI adoption increases, employees have grown more comfortable using the tools to take over their administrative responsibilities, so they have more time to do higher-impact work.…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}