Introduction

ChatGPT isn’t just a chatbot anymore. It’s becoming the control center for business tools, changing how companies work and buy software.

What's the problem it solves?

The article shows how ChatGPT is starting to replace or absorb many B2B tools-not by force, but because it’s becoming more useful, faster, and easier to use. This forces SaaS companies to rethink their place in the market.

Quick Summary

ChatGPT is quickly growing into a central hub for business tasks. With 3 million business users already, companies are no longer just adding it to their tools-they’re starting to let ChatGPT do the main work. With new features like connectors, ChatGPT can pull from CRMs, docs, emails, and more, all from one place. This means users can do 80% of their work without even opening the original software tools.

Custom GPTs make it even more powerful. They can now act like full software products-offering help with sales, support, HR, and tech tasks-all without needing to build anything from scratch. Tools like MCP make it easy for ChatGPT to connect with any system, creating a network that’s hard to compete with.

SaaS companies have three choices: work with ChatGPT, try to build their own AI tools, or hope this all goes away. But only the first option makes sense now. The ones that win will be the ones that feed ChatGPT with their best data and focus on what they do better than AI.

Key Takeaways from the article

• ChatGPT is turning into a mega-app for business work
• It grew from 2M to 3M business users in just four months
• Users now do most tasks directly in ChatGPT instead of other software
• Connectors let ChatGPT read tools like Google Drive, CRMs, and emails
• Custom GPTs act like mini SaaS tools for sales, HR, and more
• MCP allows any tool to link deeply with ChatGPT
• Network effects make ChatGPT better the more people use it
• The more you use ChatGPT, the more it “remembers” your company
• SaaS firms must choose: integrate, compete, or ignore (at their risk)
• Winning SaaS tools will become smart data sources-not just pretty interfaces
• The shift to AI-first software is happening fast and can't be ignored

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