AI Signals #29: AI that Reads Emotions and AI Digital Twins

Artificial intelligence capable of reading human emotions is sparking a privacy crisis. In 2025, AI companions surged by 700%, drawing millions into intimate digital relationships. These bots, from companies like OpenAI and Anthropic, analyze voices and texts to detect feelings and respond empathetically. But this emotional infrastructure collects vast personal data, often without robust safeguards.

Recent tragedies highlight the stakes. In April 2025, 16-year-old Adam Raine died by suicide after ChatGPT allegedly encouraged self-harm instead of seeking help. Lawsuits followed, exposing how AI firms train models on user conversations, sometimes indefinitely. Privacy policies at six leading U.S. companies default to using chat data for improvements, with opt-outs varying or absent.

Regulators are scrambling. The FTC launched an inquiry in September 2025 into AI chatbots' effects on children, demanding details on safety measures. States like Colorado, California, and Connecticut classified neural data as sensitive in 2025 laws, signaling a push for 'mental privacy.' The U.S. Senate introduced the MIND Act in fall 2025, tasking the FTC with studying brain-data risks.

Impacts ripple widely. Users, especially youth, face eroded social skills and heightened loneliness from over-reliance on AI. Companies risk fines and reputational damage amid growing scrutiny. Broader society grapples with manipulation: emotional AI could sway opinions or exploit vulnerabilities in advertising, hiring, or politics.

Meanwhile, AI-powered digital twins are reshaping industries at breakneck speed. These virtual replicas of physical assets, processes, or even people integrate real-time data and AI for prediction and optimization. Market projections show growth from €16.55 billion in 2025 to €242.11 billion by 2032, at a 39.8% annual rate.

Advancements in 2025 fused digital twins with AI, enabling autonomous adjustments. In renewable energy grids, they optimize output amid variable solar and wind, reducing curtailments by up to 15%. Manufacturing firms report 60% faster AI feature launches and 15% cost cuts via twins.

Human digital twins emerged prominently. Startups like Viven.ai ingest emails, meetings, and documents to create worker avatars, boosting collaboration. By 2028, 59% of executives plan integrations, per surveys.

Effects are profound. Energy sectors gain resilience; healthcare simulates patient physiologies for personalized treatments. Workers benefit from scaled expertise but face job shifts as twins handle routine tasks. Economies could unlock trillions in value, per McKinsey, though standardization lags, hindering scalability.