Why AI dominates work but struggles in consumer apps
andrewchen · x · 2026-08-17
Andrew Chen observes why AI has exploded at work but disrupted consumer apps slowly:
- Success in Work: Much of work is drudgery—filling forms, following processes, writing updates—which involves pattern matching and data stitching. AI excels at compressing these boring steps, allowing humans to focus on high-leverage tasks.
- Struggle in Consumer: Consumers crave novelty and parasocial relationships. In domains where authenticity is key (social, entertainment), AI-generated content often fails because it pattern-matches to the past (the training data), making it hard to generate something truly unique. "AI slop" can ruin the experience.
- Adversarial Creativity: In inherently adversarial business activities like sales and marketing, AI-generated sameness is scrutinized. Achieving fresh, unique messaging often requires going "outside the model." This highlights a human-in-the-loop problem: real-time observation and reaction may be needed for future AI models to say something novel.
More from AGI Musings
- AI disruption is real, but productivity gains may outweigh mass unemployment fears — eyishazyer · 2026-08-17
- AI usage polarized: few mindful experts, many mindless believers — rbhar90 · 2026-08-17
- AI Content Marketing Scam: 'Stolen Authority' Tactic Exploits Famous Videos — HankYeomans · 2026-08-17
- If continual learning is solved, local weight copies will defeat all safety filters — AashaySachdeva · 2026-08-17
- Free Money Party proposes universal income starting 2028 amid mass unemployment — davidpattersonx · 2026-08-17
- The next industrial revolution may feature machines improving machines — VraserX · 2026-08-17