## The Core Answer

The question of why we don't discuss Microsoft Copilot much comes down to its effectiveness compared to other AI tools like ChatGPT. Simply put, many users find Copilot to be lacking in capabilities. Although it is built on the ChatGPT model, Microsoft has made adjustments that have stripped away some of its more robust features. This has led to a widespread sentiment that Copilot doesn't perform as well as its foundational technology.

Additionally, while Copilot offers benefits in terms of security and seamless integration with Microsoft 365, these advantages are often overshadowed by its performance issues. Users who have experience with other AI tools, such as ChatGPT or Claude, frequently express frustration when using Copilot, which can hinder their perception of AI in general.

Why This Works

The underlying reason for the mixed reception of Microsoft Copilot is tied to its development process. Microsoft has a stake in OpenAI, owning 27% of the company, which gives them access to the ChatGPT technology. However, in their effort to customize Copilot for their suite of applications, they made choices that reduced its overall functionality.

For instance, while Copilot has recently incorporated Claude, another AI model, this addition has not made a significant difference in user experience. Many users report that Copilot's output is less sophisticated compared to what they achieve with ChatGPT or Claude. This discrepancy is crucial because it shapes user expectations and impacts their willingness to adopt AI tools in their work.

How to Apply This

If you're considering integrating AI into your organization, here are some actionable steps:

• Evaluate Your Needs: Before choosing any AI tool, assess your specific requirements. Is security a primary concern? If so, Copilot might still be worth considering despite its limitations.

• Pilot Test Other Tools: Don’t limit yourself to just one AI solution. Test out ChatGPT, Claude, and even specialized tools like Gamma for presentations to see what fits your workflow best.

• Gather User Feedback: If you're within an organization, solicit feedback from team members about their experiences with different AI tools. This can provide invaluable insights into user preferences and effectiveness.

Common Pitfalls to Avoid

One common mistake is to assume that all AI tools are created equal. Just because a tool is backed by a major company like Microsoft doesn’t guarantee its superiority. Always measure performance against your specific outcomes.

Additionally, don't overlook the importance of user training. Many individuals may have had poor experiences with Copilot simply because they were not trained adequately on how to use it effectively. Make sure that your team receives proper onboarding for any AI tools you decide to implement.

Conclusion

In summary, while Microsoft Copilot has its place in the market, its current limitations can lead to dissatisfaction among users who have access to more capable AI tools. By exploring various options and gathering user feedback, you can better determine which AI solution will serve your needs effectively. The landscape of AI tools is evolving rapidly, and staying informed will help you make the best choices for your organization.