The AI Productivity Paradox: Why Time Saved Doesn’t Always Mean Business Impact

Now that AI adoption has hit a stride, organizations are shifting focus beyond adoption rates to build frameworks to properly quantify impact. AI is improving productivity, but employees are not always using the time they gain on high-value tasks. Relying solely on time-based KPIs may diminish the real value AI brings to employees and the business.

The productivity paradox

According to the Global Workforce of the Future 2025 report by the Adecco Group, employees believe they save an average of two hours per day using AI tools. Yet, employers are struggling to translate these perceived gains into measurable business impact. Strategic thinking, quality assurance, and upskilling are the top three areas where employees say they spend their freed-up time. While valuable areas, they’re difficult to quantify.

This disconnect reveals a deeper issue: time saved doesn’t automatically equal value created. Without clear frameworks for how AI-enhanced work contributes to organizational goals, employees may drift toward tasks that feel productive but lack strategic alignment.

Source: Global Workforce of the Future 2025 report, page 18

Only one-third can measure their impact

The report found that just 36% of workers can confidently measure the impact of their work. This is a critical blind spot. If employees don’t understand how their efforts drive outcomes, they can’t optimize their contributions, or their development.

Future-ready workers, a segment identified in the report for their mix of adaptability, tech savvy, and proactivity, are significantly more likely to receive guidance on high-value work and understand how their roles align with business objectives. These workers are also more likely to take control of their skills development and career planning.

Global Workforce of the Future 2025 report, page 18

Redefining KPIs for the AI era

As organizations integrate AI into their workflows, traditional performance metrics may no longer capture the full value of these technologies. Chief People Officer at Box, Jessica Swank, joined the LHH Talk Talent to Me podcast to share how she’s rethinking AI success.

“We’re always thinking about ROI, but I also like to think of it as return on time. Is it saving time, driving efficiency, helping us do more, or get to better outcomes? For example, during open enrollment, we had over 1,500 internal queries, and our AI tool was able to answer over half of them. We see AI as that superpower in your pocket that helps improve what we do, how we do it, and the speed to market,” says Swank.

To better reflect the impact of AI, organizations should consider:

• Value-based metrics: How does AI-enabled work contribute to revenue, innovation, or customer satisfaction?
• Learning velocity: How quickly are employees acquiring and applying new skills?
• Collaboration quality: Are AI tools enhancing teamwork and cross-functional problem-solving?
• Trust indicators: Do employees feel confident in how AI is used across the talent lifecycle?

The leadership imperative

Today’s leaders must do more than set goals. They must create clarity, foster trust, and empower employees to thrive alongside technology. That means helping people understand not just what they’re doing, but why it matters.

• Communicate how AI supports company strategy, so employees see the bigger picture.
• Involve employees in job redesign, giving them a voice in how their roles evolve.
• Offer tools to measure individual impact, helping people connect their work to outcomes.
• Promote career growth through targeted upskilling, ensuring everyone has a path forward.

The future of work demands a more human-centered approach to performance and progress. Explore more insights from the 2025 Global Workforce of the Future Report.

 

The Adecco Group’s Global Workforce of the Future research investigates the changing world of work from the employee perspective. This edition focuses on understanding current perceptions of AI and examines worker expectations for the redesign of jobs.