Digital twin technology transforms workers into AI powered superworkers
Legal experts highlight a lack of governance for professional errors made by AI
The rise of "Digital Me" technology is redefining professional productivity, turning average employees into "superworkers" through high-fidelity AI replicas.
Pioneered by Richard Skellett with his "Digital Richard" twin, these agents are trained on an individual’s specific data, meetings, and unique problem-solving methods.
Proponents, such as Josh Bersin of The Josh Bersin Company, report that these twins enable 30 percent annual growth by handling exhausting conference calls and data analysis around the clock.
Beyond mere efficiency, these replicas are being utilised to manage personal administrative tasks, family schedules, and even to provide professional coverage during maternity leave or phased retirements.
However, the technology has sparked a fierce ethical and legal debate regarding ownership. Richard Skellett advocates for a "rental" model, where individuals own their digital likeness to protect their identity and value.
Conversely, Bersin argues that because these twins are trained on company emails and intellectual property, they are business assets that lose value once an employee departs.
This disagreement sits at the heart of the employment relationship, raising critical questions about consent, the control of personal data, and the potential for the "substitution of labour."
Legal experts from Bellevue Law warn that current employment statutes are ill-equipped to handle the nuances of AI twins.
Significant uncertainty remains regarding who is liable if a digital twin makes a legal or professional error.
As the line between human creativity and algorithmic mimicry blurs, experts predict that future employment tribunals will be forced to set the standards for wrongful dismissal and identity protection in an increasingly automated workforce.