Some People Are Fighting Their AI Clones. Others Are Building Them on Purpose

2026-07-12 · Source: Deep Learning on Medium · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development · Depth: Novice, medium

Summary

AI cloning presents a dichotomy: some individuals, like voice actor Maya, find their voices illegally replicated and used across platforms, leading to commoditization and income loss. Conversely, figures such as LinkedIn co-founder Reid Hoffman and TikTok creator Khaby Lame are intentionally developing digital twins, trained on their extensive public data or biometric information, to extend their reach and capabilities. This divergence highlights that AI primarily copies the "part people pay for," separating valuable capabilities from the human source. Ownership is critical; a clone working for the individual acts as an asset, while one owned by others becomes a competitor. The article posits that even for roles like CEOs, the increasing efficacy of AI clones in performing functions like communication and knowledge transfer creates a paradox: the more indispensable the clone becomes, the harder it is to justify the original human's unique value, suggesting a future where companies might preserve an employee's capability rather than the person.

Key takeaway

For professionals and creators navigating the AI era, critically assess which aspects of your value are separable outputs. If you produce content like voice, text, or visual styles, prioritize securing ownership of your AI clones or models to ensure they act as your asset, not a competitor. Executives developing digital twins should recognize that while these extend reach, their increasing efficacy paradoxically highlights the potential for your functions to be copied, necessitating a clear strategy for human-AI collaboration and value definition.

Key insights

AI cloning's economic impact hinges on ownership and whether valuable human capabilities can be separated from the individual.

Principles

• AI targets human capabilities that are purchasable outputs.
• Separating capability from human leads to labor commoditization.
• Clone ownership dictates if it's an asset or competition.

In practice

• Secure ownership of your AI-cloned capabilities.
• Identify which of your professional outputs are separable.
• Recognize the paradox of successful digital twins.

Topics

• AI Cloning
• Digital Twins
• Labor Commoditization
• Voice AI
• Intellectual Property
• Future of Work

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Editorial summary, takeaway, and curation by AIssential. Original article published by Deep Learning on Medium.