Microsoft‘s latest Work Trend Index yearly report argued that artificial intelligence (AI) is no longer just a tool for efficiency, but one reshaping the very operating model of organisations.

It noted that AI agents take on execution, human agency expands, creating both opportunity and tension across employees, leaders, and firms.

The report, authored with insights from Harvard Business School professor Dr Karim Lakhani, stressed that AI should not be seen as “the next wave of software.” Instead, it represents a new operating model. Business models explain how companies create value, but operating models determine how that value is delivered through workflows, governance, and decision rights.

The report noted that as AI moves from isolated tasks to integrated workflows, leaders must redesign work itself. “The question is no longer whether AI matters,” the report notes. “It is whether the firm is willing to redesign itself around what AI now makes possible.”

At the employee level, AI is lifting the ceiling on what individuals can accomplish. Microsoft’s privacy-preserving analysis of over 100,000 Copilot chats revealed that nearly half (49 per cent) of interactions support cognitive work such as analysis, problem-solving, and creative thinking. The rest split across collaboration (19 per cent), producing outputs (17 per cent), and information gathering (15 per cent).

Survey data reinforced this trend, where 66 per cent of AI users said the technology allows them to spend more time on high-value work, while 58 per cent report producing work they couldn’t have a year ago. Among “Frontier Professionals,” the most advanced 16 per cent of AI users, those numbers rise to 80 per cent. These professionals use agents for multi-step workflows, build multi-agent systems, and set shared AI standards within their teams. They represent a disproportionately valuable group, showing how AI can democratize expertise while raising the premium on human judgment.

Crucially, most workers treat AI output as a starting point, not a final answer. Eighty-six per cent say they remain responsible for the thinking, highlighting a shift from generating answers to evaluating and refining them. Frontier Professionals are especially vigilant: 43 per cent intentionally do some work without AI to keep their skills sharp, and 53 per cent pause before starting tasks to decide what should be done by humans versus agents.

If employees are ready, organisations often are not. Microsoft’s survey of 20,000 workers across 10 countries revealed what it calls the Transformation Paradox: workers are eager to reinvent how they work with AI, but organisational systems, metrics, incentives, and norms reinforce the old way.

According to the report, only 19 per cent of AI users sit in the “Frontier zone,” where individual capability and organisational readiness reinforce each other. Another 10 per cent are “blocked,” skilled workers trapped in firms that haven’t caught up. Half of all workers remain in the “emergent zone,” where both individual practice and organisational support are still developing. Just 26 per cent of employees say their leadership is clearly aligned on AI strategy.

Microsoft said this misalignment creates pressure. Sixty-five per cent of workers fear falling behind if they don’t adapt quickly, yet 45 per cent said it feels safer to focus on current goals than to redesign work. Only 13 per cent report being rewarded for reinventing workflows with AI, even if results aren’t met. The paradox is clear: the same forces accelerating AI adoption are holding it back.

Leadership, the report argued, must redesign systems to match the work. Managers play a pivotal role. A Microsoft study of 1,800 workers found that when managers actively modelled AI use, employees reported a 17-point lift in perceived AI value, a 22-point lift in critical thinking, and a 30-point lift in trust. Frontier Professionals consistently work in environments where managers encourage experimentation, set quality standards, and reward reinvention.

At the organisational level, the report emphasised that the firms pulling ahead are those focused on AI absorption, not just adoption. Absorption means redesigning workflows to capture and share insights, turning output into institutional learning. These firms become Learning Systems, where captured knowledge compounds into competitive advantage.