How do you think AI will reshape the practice—and even the science—of psychology over the next decade?

With large-language models now drafting therapy prompts, apps passively tracking mood through phone sensors, and machine-learning tools spotting patterns in brain-imaging data, it feels like AI is creeping into almost every corner of psychology. Some possibilities sound exciting (faster diagnoses, personalized interventions); others feel a bit dystopian (algorithmic bias, privacy erosion, “robot therapist” burnout).

I’m curious where you all think we’re headed:

• Clinical practice: Will AI tools mostly augment human therapists—handling intake notes, homework feedback, crisis triage—or could they eventually take over full treatment for some conditions?
• Assessment & research: How much trust should we place in AI that claims it can predict depression or psychosis from social-media language or wearable data?
• Training & jobs: If AI handles routine CBT scripting or behavioral scoring, does that free clinicians for deeper work, or shrink the job market for early-career psychologists?
• Ethics & regulation: Who’s liable when an AI-driven recommendation harms a patient? And how do we guard against bias baked into training datasets?
• Human connection: At what point does “good enough” AI empathy satisfy users, and when does the absence of a real human relationship become a therapeutic ceiling?

Where are you optimistic, where are you worried, and what do you think the profession should be doing now to stay ahead of the curve? Looking forward to hearing a range of perspectives—from practicing clinicians and researchers to people who’ve tried AI-powered mental-health apps firsthand.