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Executives are testing AI digital twins to answer questions and handle routine work

Published
Score
14

Why it matters

A small but growing number of executives are deploying "digital twins"—AI replicas trained on their emails, speeches, interviews, meeting transcripts, and other professional materials—to handle routine tasks including answering questions, drafting messages, and representing them across communication channels. The shift reflects broader adoption of executive-focused AI replicas capable of mimicking a leader's knowledge, tone, voice, and in some cases video likeness. Vendors including Biqvu, DeepBrain AI, D-ID, HeyGen, and Synthesia are supplying the underlying technology, while executives across industries are beginning to implement these systems as a way to scale leadership attention across time zones and repeated requests.

The technology builds on convergence of multimodal AI, retrieval-augmented generation, and agentic systems—tools that can reason, use other applications, and complete multi-step tasks beyond simple chat. Product tutorials and demos now show users how to create replicas by uploading images, voice files, and video. The extent to which these systems are currently in active use by major corporations, and which specific executives or companies have deployed them, remains unclear. The governance frameworks governing their use—if any exist—have not been publicly detailed.

Attorneys should monitor this development closely. As digital twins move from proof-of-concept into practical deployment by decision-makers, they create novel liability and authenticity questions. A message or commitment attributed to an executive but generated by an AI replica raises issues of actual authority, apparent authority, and potential misrepresentation. Privacy and security risks also escalate when replicas are trained on confidential communications. Companies deploying this technology should establish clear disclosure protocols, define the scope of tasks replicas can perform without human review, and consider whether existing employment law, securities regulations, and contract law adequately address communications made "as" a person by an AI system.

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