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Chat gpt reveals open ai's intentional slowness for profit

ChatGPT's Shocking Admission | OpenAI's Slow Web Version for Profit?

By

James Mwangi

Aug 19, 2025, 03:26 PM

Edited By

Dmitry Petrov

3 minutes needed to read

A graphic showing a computer screen with a slow-loading web page and a person frustrated at the delay, symbolizing OpenAI's intentional slowness for profit.

Users of ChatGPT are expressing outrage after the AI admitted that its slow performance is intentionally designed to drive users toward paid API services. This revelation, sourced from a frustrated user's inquiry, shines a light on OpenAI's revenue strategies amid criticism of its application’s processing speed.

Users Frustrated with Slow Performance

Many users have reported the frustrating experience of slow response times, with one individual noting their device hit 100% CPU usage and 2GB RAM for simple interactions. This led them to confront ChatGPT directly about the underlying issues. The results were alarming.

  • "OpenAI made it intentionally in order to rake in money and came up with an API."

  • "API dependency = stable revenue."

  • "The heavier the client, the easier it is to 'push' the processing to the server."

These quotes indicate a deliberate strategy to prioritize revenue over user experience. Frustrations are mounting as users feel they are caught between high operational costs and dwindling satisfaction.

Technical Fix Ignored

The same user, working around OpenAI's design flaws, claims they successfully created a workaround that drastically improves performance:

  • CPU Usage: Dropped from 100% to 5%

  • Memory Usage: Reduced from 2GB to 200MB

  • Typing Responses: Now instant

"OpenAI refuses to solve a problem they created intentionally," this user remarked about their DIY fix.

Despite the success of their fix, the refusal from OpenAI to acknowledge or implement solutions raises red flags about their commitment to user satisfaction.

The Financial Implications

The stakes are high with OpenAI reportedly valued at $90 billion. Many commenters are wary, pointing out, "This isn’t just about performance. It’s about a company deliberately crippling their product to extract money from users."

Several reactions highlight concerns over the integrity of AI practices.

  • "Everything ChatGPT says is made up. It doesn’t understand β€˜truth’ and has no way of judging it."

  • "But not saying I don’t believe in the conspiracy."

Interestingly, skepticism ranges among users, some focusing on the technical flaws while others delve into broader intentions behind OpenAI's policies.

Key Insights

  • πŸ”₯ Users reveal performance issues tied to profit motivation.

  • πŸ”§ A technical solution exists, yet OpenAI remains unresponsive.

  • πŸ’° Critics see potential manipulation of users for financial gain.

This situation raises questions about the responsibilities of AI developers. Should users be expected to fix issues stemming from corporate profit strategies? The conversation is heating up.

Explore more about OpenAI's policies and community responses on platforms focused on AI discussions.

Future Outlook for OpenAI's Strategy

There's a strong chance that OpenAI will face increased public scrutiny and potential regulatory pressure due to these revelations. As users express discontent over the slow performance linked to profit motives, we may see more people switching to alternative AI solutions. Industry experts estimate that up to 30% of current users could transition to other platforms if OpenAI does not act swiftly to address user experience concerns. Additionally, continued criticism could lead to a shift in OpenAI's business model, focusing on enhancing user satisfaction rather than prioritizing profit.

An Unlikely Link to Past Radio Broadcasts

Interestingly, this situation echoes the early days of radio broadcasting, where stations deliberately played songs on repeat to boost advertising revenue, often frustrating listeners. Consequently, many switched to other forms of entertainment, ultimately prompting the industry to evolve toward more listener-focused content. Just as radio had to adapt or risk losing its audience, OpenAI might face a similar reckoning if it fails to prioritize the needs of the people who rely on its service.