Testing Ads in ChatGPT

Original Article ↗ Hacker News Discussion ↗

Overall reaction & trust

  • Many see this as the start of “enshittification”: the familiar arc from great product → ads → degraded experience, comparing to Google Search, YouTube, Facebook, and streaming services.
  • The phrase “Ads do not influence the answers ChatGPT gives you” is widely doubted; people expect economic incentives to eventually bias outputs, explicitly or via subtle tuning.
  • Several say this is a direct betrayal of OpenAI’s original non-profit, “benefit humanity” mission and prior statements that ads were a “last resort.”

Scope of ads & slippery slope

  • Officially: ads only on Free and the new low-cost “Go” tier; Plus/Pro/Business/Enterprise/Education remain ad-free.
  • Many expect this to be temporary: “for now” is seen as a weasel phrase; users predict new renamed tiers and eventual ad creep into paid plans (“$20/month and ads”).
  • Some note Plus already had recommendation-like slots, seeing this as the next ratchet step.

Business model, money pressure, and IPO

  • Repeated assertions that OpenAI is burning cash, none of the current tiers are profitable, and that ads are a hedge to reassure investors and move toward an IPO.
  • Some argue ads are the only scalable way to raise ARPU on a mass-market consumer product; others say the real money is B2B/gov, so consumer ads mainly slow the burn.
  • A minority defends ads on the $8 “Go” plan as normal ad-subsidized pricing, citing Netflix/Prime-style tiers.

Privacy, targeting & bias concerns

  • Worry about targeting based on “topic of conversation, past chats, and past interactions with ads,” even if advertisers “don’t have access” to raw chats.
  • Fears about reconstructing sensitive cohorts (e.g., abortion seekers) via campaign performance and fingerprints, despite anonymization claims.
  • Concern that once ad KPIs exist, pressure will grow to blend ads with answers or tune model behavior toward commercial interests.

Alternatives, lock‑in & local models

  • Some say this is their exit point to Claude, Gemini, or local LLMs; others mock fleeing to “the biggest ads company” (Google).
  • Debate over lock-in: personalization and multi-year chat history make switching costly, but export/import and strong competitors may limit this.
  • Several emphasize local/open-weight LLMs as the long-term ad‑free escape, though hardware costs are a barrier.

Ads as a “ratchet” vs necessary evil

  • Many describe ads as a one-way ratchet: once enough salaries depend on ad revenue, they inevitably become more invasive and less clearly labeled.
  • Others counter that free users aren’t “customers” and must either accept ads or pay; they see outrage as entitlement.
  • Some argue for a split future: ad-funded, companionship-style consumer bots vs ad‑free, subscription B2B tools; OpenAI is seen as risking getting stuck in the former.