Can technology do it yet?

Yes, mostly. Consumer phones and cheap call-screening services will pick up, transcribe and hold a short conversation with a caller, and they handle spam and simple appointment calls well. Anything nuanced — an emotional caller, a complex booking, a call that needs your judgement — still gets handed back to you.

Only if you live in the right city. Driverless robotaxis run commercial services in a handful of mapped urban areas and genuinely work there. A privately owned car that drives you door-to-door, everywhere, in all weather, with nobody watching the road is not something you can buy today.

Partly. An assistant can plan meals, build a basket and reorder your usual items, and some retailers offer their own AI basket builders. Fully hands-off shopping — choosing substitutions the way you would, spotting a bad price, adapting to what is actually in stock — still needs you to check the basket before checkout.

It can remember a lot, not everything. Mainstream assistants now keep persistent memory of your preferences, projects and past conversations, and it noticeably improves them. Recall is still selective, occasionally wrong, and confined to whichever assistant you told.

Yes for everyday objects, landmarks, menus and text. Consumer camera glasses answer 'what am I looking at?' surprisingly well. Precision tasks — identifying a specific component, a mushroom, a medication or a face — are either unreliable, restricted or both.

It can write most of it, but shipping is still a human responsibility. Coding agents build features, fix bugs and open pull requests unaided, and teams genuinely rely on them. Architecture decisions, subtle security issues and long-lived maintenance still need engineers in the loop.