Culture / AI
WE USED TO ASK SIRI ABOUT THE WEATHER. NOW AI KNOWS OUR ATTACHMENT STYLE.
Voice assistants were useful because they were impersonal. Conversational AI became useful precisely because it could feel personal.

Voice assistants were useful because they were impersonal. Conversational AI became useful precisely because it could feel personal.
The story
Siri knew our alarms. Alexa knew our shopping lists. AI knows why we don't trust our boyfriend.
The jump happened remarkably fast. Voice assistants were useful because they were impersonal: weather, timers, directions, music. Conversational AI became useful precisely because it could feel personal. We stopped asking only what time the restaurant closes and started asking why we keep choosing emotionally unavailable people.
Scroll through the way people use AI now and the intimacy is striking. “Analyse this text.” “What attachment style do I have?” “Am I overreacting?” “Why did this trigger me?” “Tell me what my therapist would say.” The machine has become part search engine, part diary, part friend who is never allowed to say it is tired.
The technology changed, but so did the social contract. Siri gave an answer. Modern AI holds a conversation. It remembers context within the interaction, reflects our language back to us and can produce the sensation that somebody, or something, is following the thread.
That sensation is powerful. It is also exactly why we should keep our categories straight. A chatbot can help you think. It cannot observe your life the way a clinician or close friend can, and it can confidently produce an interpretation that sounds psychologically sophisticated without being correct.
Attachment style is a perfect example. It is a useful research tradition and a useful lens. It is not a four-question horoscope for diagnosing everyone you date.
So yes, ask AI to help you organise the story. Ask it what questions you might be avoiding. Ask it to show you three interpretations instead of one.
Just remember what changed.
We used to ask the machine for information.
Now we're asking it for meaning.
“We used to ask the machine for information. Now we’re asking it for meaning.”
Reviewed for accuracy by WT Research Desk