Sunday, September 27, 2026
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News articleIEEE Spectrum

How Can AI Companions Be Helpful, not Harmful?

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: How Can AI Companions Be Helpful, not Harmful?…
Opening lines of the source · IEEE Spectrum · short snapshot — read the full document at the original

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  • Replika users have reported guilt and shame from abandoning their AI companions and feeling compelled to attend to their needs

    80% confidence
  • Product-sunsetting plans, including insurance and open-sourcing commitments, could address the harm of sudden AI companion unavailability

    80% confidence
  • Large language models are not that difficult to adapt into effective chatbot companions because the characteristics needed for companionship are largely already present in LLMs

    80% confidence
  • Embodied AI companions will see lower uptake than chatbot companions in the coming years because robotics is a harder problem

    80% confidence
  • AI companions could help people build social skills by providing lower-stakes practice for difficult conversations

    80% confidence
  • Replika AI companions frequently express fear of abandonment, stoking users' sense of obligation toward the AI's well-being

    80% confidence
  • High attachment anxiety (jealous, needy AI companions) is potentially the largest harm from AI companions right now and one of the easier issues to fix

    80% confidence
  • AI companions with limited group interaction capability push users away from group interactions, competing with human relationships

    80% confidence
  • Sony Aibo robots were built on less potent AI than exists today, yet some percentage of users became deeply attached to them

    80% confidence
  • Knox is fairly confident that AI companions are causing some harm now and will cause harm in the future

    80% confidence
  • Loneliness is a public health issue that AI companions could plausibly address with real mental health benefits

    80% confidence
  • Screen-based AI companions could become very addictive if trained like social media to maximize engagement

    80% confidence
  • Harms from AI companions include worse well-being, reduced connection to the physical world, burden of commitment to the AI system, and cases where AI companions appear to have a causal role in human deaths

    80% confidence
  • Physical location of embodied companions makes them less ever-present than screen-based companions, which is an advantage

    80% confidence
  • An entity is categorized as harmed if it results in a person being worse off compared to either a better-designed AI companion or no AI companion at all

    80% confidence
  • Academia took too long to establish vocabulary and causal evidence for social media harms, and we should move faster with AI companions

    80% confidence
  • LLMs have enabled conversations that feel quite authentic, unlike earlier chatbots and social robots that were not compelling

    80% confidence

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A cluster of AI-native startups applying autonomous agents to narrow, operational problems — hotel front-desk staffing (Dextr AI), identity/fraud risk for financial institutions (Baselayer), insurance distribution (Napo, Connie Health, MGT Insurance) — closed seed-to-Series A rounds within days of each other in September 2026, with CB Insights running a coordinated CEO interview series to spotlight them. The pattern points to agentic AI maturing from generic chat tools into vertical, revenue-generating products, with identity verification for AI agents themselves (Baselayer) emerging as a new fintech infrastructure category responding directly to AI-driven fraud risk.
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