ChatGPT download growth rate plummets, OpenAI IPO faces user growth concerns

Core conclusion

In April 2026, ChatGPT's download growth rate declined significantly, from 168% monthly activity growth at the beginning of the year to 78%. What is even more alarming is that the number of monthly uninstalls surged by 132% year-on-year, while the downloads of competitor Claude have achieved an 11-fold increase in the past few months. This trend comes during a critical window for OpenAI to prepare for its IPO, and CFO Sarah Friar has expressed internal concerns about whether revenue growth can support future computing contract expenses.

Key Points

• Time of incident: 2026-04-29 -Affected objects: AI tool developers, automated content creators, AI entrepreneurial teams
• Core changes: ChatGPT user growth slows + uninstall surges + Claude catches up quickly

Background and trigger events

According to statistics from market intelligence company Sensor Tower, although ChatGPT is still significantly ahead of competing products in absolute user scale, its growth momentum is fading. Its monthly active growth rate was 168% in January 2026, which had dropped to 78% in April. At the same time, the number of monthly uninstalls increased by 132% year-on-year, and the number of uninstalls soared by 413% in March after OpenAI reached a cooperation with the US Pentagon.

This change highly overlaps with OpenAI’s IPO timeline. The Wall Street Journal reported that OpenAI has recently failed to meet internally set new user and revenue targets, causing CFO Sarah Friar and management to worry that if revenue does not grow fast enough, "the company may not be able to pay future computing contract costs."

Key Impact (by Dimension)

Adaptation suggestions

For individuals and teams that rely on AI tools for content automation and monetization, the slowdown in ChatGPT’s growth does not mean that the AI industry is cooling down, but that it has entered a stage of “multiple powers coexisting”:

• Decentralized API Dependencies: Don’t just tie it to OpenAI. Claude is iterating rapidly, and DeepSeek is also filling in. It is recommended to have multi-model failover built into n8n or OpenClaw workflows.
• Follow the Claude Code Ecosystem: Claude’s 11-fold growth shows that developers are making cross-platform choices. Learn Claude Code to automate content production and build cross-platform advantages.
• Optimize user retention: The core reason for the soaring uninstall rate of ChatGPT is that users feel it is "not useful enough" after trying it. If you are developing an AI product, focus on user activation and retention rather than simply attracting new users.

Execution list

• Add multi-model API switching to automated workflows
• Learn the combined workflow of Claude Code and n8n
• Follow OpenAI IPO developments and prepare alternatives for API pricing changes

Example: Multi-model failover script

import os
from openai import OpenAI
from anthropic import Anthropic

def generate_with_fallback(prompt, models=["gpt-4o", "claude-sonnet-4"]):
    for model in models:
        try:
            if "gpt" in model:
                client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
                return client.chat.completions.create(
                    model=model, messages=[{"role": "user", "content": prompt}]
                ).choices[0].message.content
            elif "claude" in model:
                client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
                return client.messages.create(
                    model=model, messages=[{"role": "user", "content": prompt}]
                ).content[0].text
        except Exception as e:
            print(f"Model {model} failed: {e}")
            continue
    raise Exception("All models failed")

• The Verge ：ChatGPT downloads are slowing
• WSJ: OpenAI revenue concerns ahead of IPO
• Sensor Tower

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， tools OpenAI、ChatGPT、DeepSeek、Claude、n8n、OpenClaw、Claude Code

Internal link guidance

• Want to improve the efficiency of AI automation? See: How to build an AI content automated distribution system with n8n + ChatGPT: a complete 30-minute tutorial
• Real case: OpenClaw + Claude Automated Publishing: $1,500–$2,500/mo Case Study
• Want to learn Claude Code and make money? Watch: Claude Code 48 hours to start a business: one person + US$29 monthly fee, monthly income in 3 months $9,000