The Film Her vs. 2026
Last Updated on February 3, 2026 by Editorial Team
Author(s): Sarah Cordivano
Originally published on Towards AI.
What the Most Prescient AI Movie Got Right and Wrong: Waymo, Moltbook and More.
I recently rewatched Her, the 2013 Spike Jonze film about a man who falls in love with his AI operating system. If you haven’t seen it in the last five years, I’d say it’s worth a watch.

In the article, the author reflects on the themes and predictions of the film Her in relation to today’s advancements in AI. Initially expressing nostalgia for its optimistic portrayal, the discussion contrasts cinematic depictions with current realities of AI’s integration into daily life. The author analyzes how the film highlighted emotional connections with AI while noting significant societal changes away from intimacy and personal authorship, emphasizing a shift toward relying on AI for creative tasks and communication. Ultimately, it concludes that despite technological progress, the social implications remain concerning, contrasting the film’s utopian vision with contemporary urban challenges.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.