Is there a notable increase in demand for privacy-preserving AI/ML with the advent of LLMs? [D]

Reddit r/MachineLearning / 5/5/2026

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Key Points

The author revisits an older discussion about whether privacy regulation has driven demand for AI/ML and notes that AI demand has not decreased over the past six years.
They suggest that the rise of LLMs—along with research highlighting de-anonymization risks—has increased interest in privacy-preserving AI/ML solutions.
The post is largely anecdotal, citing friends who use trusted execution environments to offer enterprise customers privacy-preserving versions of popular LLM models.
The author asks the community whether there has been a notable increase in both demand for AI and demand for privacy-preserving AI solutions, inviting perspectives rather than presenting new findings.
The accompanying link points to work on how online users can be de-anonymized, reinforcing the motivation for stronger privacy approaches in AI deployments.

While browsing through this subreddit, I encountered this old discussion post about demand for AI with the rise of privacy regulation. It got me thinking that, 6 years on, the demand for AI hasn't slowed at all, obviously. But with the rise of LLMs and papers showing how to de-anonymize online users, that correspondingly there's been a rise for more privacy. Anecdotally, many of my friends work with trusted execution environments to provide enterprise customers with privacy-preserving versions of popular LLM models.

I'm curious to know how everyone in this subreddit feels about not only the demand for AI but the demand for privacy-preserving solutions to AI.

submitted by /u/badcryptobitch
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