Summary

Generative AI is more relevant in some places than others.

But one surprising area it’s increasingly prevalent is on social media.

From privacy to user interest, heres why I dont think social platforms should focus on generative AI.

The interface on Meta AI

Lets look at Meta AI as an example.

you’ve got the option to do things like prepare for a job interview andmake AI-generated art.

Generative AI is beneficial for crafting better social media content and eliminating copy errors.

Revised skills in a resume in ChatGPT

We saw this happen with short-form video content, and its now happening with AI.

While you cant disable Meta AI, you’re free to mute it.

If thats something youd like to do, read our guide onhow to mute Meta AI.

AI also has privacy risks, and theres every chance thatgenerative AI security issues could worsen.

For example, open-source chatbots can reveal backend codes.

While some personal information is linked to AI chatbots elsewhere, its not as much as on social media.

If youre worried about how to keep your data safe in the current world, dont worry.

Weve got some tips onprotecting your privacy in the era of AI.

Platforms like Twitter and Facebook have long struggled with misinformation, and generative AI could make the problem worse.

AI has already received heat for misinformation.

We can argue all day about placing the responsibility on users to fact-check.

But lets be honest here: most people on social media arent going to do that.

So, its a legitimate concern that social media platforms need to think about.

Id argue that theyre better off improving their core products and offerings.