Big Tech is Becoming the Executor of the Dead

· Source: Tech Policy Press · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

Meta was granted US Patent No. 12,513,102 in late December 2025 for an AI system designed to simulate absent social media users, including the deceased, by generating interactions based on their prior activity. This patent, alongside Microsoft's quiet discontinuation of its Next of Kin process, which previously allowed families to recover deceased individuals' account data, highlights Big Tech's increasing control over digital legacies. While companies like Google and Apple offer "posthumous agency" tools, these are often subordinate to corporate terms of service and opaque data retention policies. The article reveals that digital remains are treated as corporate assets, not inheritable property, with companies retaining broad discretion over data lifespan and potential use for AI training or engagement. Legal frameworks like RUFADAA exist but often prove insufficient against corporate policies, leaving families with limited access to digital content.

Key takeaway

For legal professionals advising clients on estate planning, recognize that digital assets are rarely inheritable property. Your clients' online accounts and data are primarily governed by corporate terms of service, not traditional wills. Advise them to proactively use platform-specific legacy settings, understanding their limitations, and prepare for potential legal challenges to access deceased loved ones' digital content. Emphasize that explicit, granular consent before death is crucial, as current laws often fall short of forcing corporate compliance.

Key insights

Big Tech increasingly controls digital afterlives, treating user data as corporate assets for ongoing exploitation, not inheritable legacies.

Principles

Method

Meta's patented AI system monitors user feeds, prompts a language model trained on prior activity, and generates predicted interactions in the user's name.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Ethicist, Legal Professional, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Policy Press.