Just a little AI resistance, as a treat
Growing use of AI-generated responses in customer service is provoking backlash from people who feel fobbed off by formulaic “slop” that pretends to be human. Commenters debate whether it’s inherently disrespectful to route heartfelt feedback or complex problems through LLMs, or whether speed and cost savings justify automation as long as issues are actually resolved. Many foresee an arms race in which both companies and individuals deploy agents to talk to each other, raising questions about authenticity, incentives, and whether “human” support will become a premium service or a key differentiator.
Use of AI in Customer Support
- Many see AI-written replies to thoughtful feedback as disrespectful, signaling that a company values its own time over the customer’s.
- Others argue AI is just the new version of canned responses and not inherently worse, especially if issues still get resolved.
- Transparency matters: several commenters say AI replies would feel less bad if clearly labeled as such.
Human vs AI Responses
- Some want genuinely human, slightly rough communication and view “perfectly polite AI prose” as fake empathy.
- Others say they only care whether the problem is fixed; tone and authorship are secondary.
- A few would actually prefer fast, competent end‑to‑end AI over slow, powerless human agents and long phone queues.
Debate Over Detecting AI Text
- Large subthread debates whether the “second response” in the story was human or AI. Opinions are split.
- An AI detector (Pangram) is cited as saying the text is “100% AI,” but commenters note possible false positives and fragility (e.g., Grammarly, light editing, custom models).
- Some argue that as models improve and humans adopt AI-style phrasing, distinguishing AI from human text will become impossible and possibly pathological to fixate on.
Customer Service Philosophy
- Several distinguish between contacting support to fix concrete issues versus venting or demanding validation.
- There’s concern that AI and bad metrics encourage shallow first-line responses that deflect rather than solve, burning customer time.
- Others note this problem predated AI: scripted Tier‑1 staff already behaved like bots.
AI Arms Race and Personal Agents
- Some predict an arms race: customers use AI to complain; companies must use AI to respond; human-to-human interaction disappears.
- Proposed mitigations include: charging for human support, or using AI only as a smart FAQ gatekeeper before routing true edge cases to people.
- A few want personal, local AIs to handle all bureaucratic and support interactions, but others warn these will be outgunned by corporate-scale models.
Resistance to “AI Slop”
- Multiple commenters describe intentionally avoiding AI-generated “slop” in products, text, and even OS projects, seeing it as low-quality and corrosive.
- Some hope that, in an AI-saturated world, visible humanness and even slightly grumpy authenticity will become a premium differentiator.