New research from PwC reveals a growing contradiction in the modern office: artificial intelligence adoption is climbing, yet many workers are finding their workloads heavier instead of lighter. The report, which tracks AI usage across UK workplaces, found that while 19% of employees now use AI daily, up from 15% last year, the technology is not delivering the efficiency gains many hoped for.

What You Need to Know

The PwC study highlights a stark divide: 85% of senior executives and 73% of managers have used AI, but only 35% of non-managers have. Although 70% of workers say AI has improved their work quality, 44% report their workload has increased and 45% worry their job complexity has grown. The real opportunity, according to PwC Technology Officer Claire Reid, lies in redesigning work itself rather than simply doing more of it. Many employees remain hesitant due to unclear policies, lack of training and fear of negative consequences.

The AI Adoption Gap

Usage of AI tools in the office remains heavily skewed toward senior leadership. The PwC data shows that while executives and managers have embraced the technology at high rates, frontline workers have been left behind. Only about one in three non-managers reported using AI at work, a figure that suggests the benefits of automation are not reaching the wider workforce.

This gap is not just about access. Many workers are uncertain about their employer's AI policy or worry that experimenting with the tools could backfire. PwC Technology Officer Claire Reid pointed to a need for clearer communication and more structured training programs. Without those changes, the divide between those who can leverage AI and those who cannot could widen further.

  • Policy confusion: Many employees are unsure what their company allows regarding AI use.
  • Fear of failure: Workers worry that experimenting with AI could lead to errors or negative performance reviews.
  • Skill gaps: Lack of proper training leaves even willing workers unable to adopt AI effectively.

More Work, Not Less

Perhaps the most striking finding is that AI adoption has not translated into lighter workloads. Nearly half of workers surveyed said their workload increased after using AI, and a similar share felt their job had grown more complex. The technology may be helping with certain tasks, but it also introduces new demands: learning new tools, managing outputs and verifying AI-generated content.

This pattern echoes earlier technology paradoxes, such as the Solow paradox of the 1980s, when computers appeared everywhere except in productivity statistics. The current AI boom may be following a similar trajectory, where the promise of automation collides with the reality of organizational inertia and skill mismatches. The data from PwC suggests that simply layering AI onto existing workflows does not automatically reduce effort.

Redesigning Work as the Real Prize

Reid argued that the real opportunity is not about doing more work faster, but about fundamentally rethinking how work is structured. "The real prize isn't just doing more work; it's redesigning work so that people and AI together can deliver better outcomes," she said. This framing shifts the conversation from productivity gains alone to deeper questions about task allocation, team structure and value creation.

For organizations, that means looking beyond quick wins. Simply deploying AI tools without rethinking processes risks adding complexity rather than removing it. Reid emphasized the need to "give people the skills and confidence to use AI well" alongside appropriate safeguards. The challenge goes beyond technology to culture, policy and leadership.

Why This Matters

The implications of these findings extend beyond individual workloads. If companies continue to adopt AI without redesigning work, they risk employee burnout and widening inequality between senior leaders and frontline staff. The productivity gains that AI promises may remain out of reach unless organizations take a more deliberate approach. For workers, the message is clear: AI will not automatically make their jobs easier, and they may need to advocate for better training and clearer expectations. For executives, the PwC report suggests that technology alone is not a solution. Real progress requires rethinking how work is organized, measured and supported.