AI Digital Twins: The Productivity Revolution

AI digital twins are being adopted to lift productivity and manage workloads, as Bloor Research and The Josh Bersin Company report early gains.

Jason Kwon ·

AI Digital Twins: The Productivity Revolution

AI digital twins are being adopted by companies as a way to raise employee productivity and smooth workload management, with early users reporting operational gains. The approach creates a digital replica of a knowledge worker that can respond to business questions and support decisions, effectively acting as a virtual assistant built around an individual’s work patterns.

Bloor Research, a technology consultancy, said it has rolled out AI digital twins for its 50-person workforce across the UK, Europe, the US, and India over the past three years. The company said the replicas are built using small language models and ChatGPT, and they ingest an individual’s professional data to mirror how that person thinks through problems and arrives at answers.

In practice, the firm said, this allows colleagues to query the twin for business-related guidance rather than relying solely on the employee’s direct availability.

Bloor Research said the system has helped it adjust staffing more flexibly in specific situations. The company cited an example of supporting phased retirement for an analyst, and another case where it covered a marketing team member’s maternity leave without bringing in temporary staff. The firm presented these examples as evidence that digital twins can preserve continuity of work and reduce disruption when roles change or people are away.

The Josh Bersin Company, an HR consultancy with approximately 50 employees, said it has used digital twins for about a year. The company said staff can ask relevant digital twins for project updates, which has reduced the need for internal meetings and email traffic. It also linked the tool to its operating model: the firm said it has achieved 30% annual growth while limiting new hiring to one or two people per year.

Alongside reported efficiency gains, the deployments are raising governance questions that remain unresolved, including who owns the twin, who can access it, and who carries liability for its outputs. Bloor Research said it supports individual ownership of digital twins, with companies paying for access, and it said it compensates employees based on measurable commercial impact.

The Josh Bersin Company took a different view, saying the intellectual property produced by employees—including their digital twins—belongs to the company under standard employment contracts.

Gartner analysts said digital replicas of knowledge workers are expected to become mainstream this year, underscoring a broader trend of AI systems increasingly mimicking human capabilities in the workplace. As adoption expands, the practical value companies cite—faster decisions, fewer coordination bottlenecks, and more resilient staffing—will sit alongside ongoing debates over ownership, access controls, and accountability.

More stories