They also don't want their competitors to grow by selling AI, which is why they give away their models.
Core product health
Based on a key goal to enable the virtuous cycle "Meaningful content --> More engagement --> More $" * Content health ("quality"): Keeps content creators on their game even up their game to generate more content, more personalized content, and perhaps more interesting content
* Content quantity (#): Makes all of us up our game and become better content creators
* Super personalization: Produce just the content on-demand that can get engagement. It's likely already happening
Core product growth
* A hedge in case they have content inventory challenges or AI is able to produce better content than creators
* FB/WA/IG? growth means targeting more and more local businesses with new services e.g. chatbot for SMBs
* Search: Chatbot/answerbot is a thing. Wean some Google Search traffic and keep it within their ecosystem
Company health and longevity
* AI-based automation and efficiency for great number of use cases
* It's great marketing, attracts talent, and enhances the brand
* Finally, as a tech company, cannot not invest meaningfully in the next great new tech trend
It's a win any way they look at it.
edit: formatting
The AI generated content is not going to have meaning. It can make a really cute picture of a baby, but it's not your friend from high school's baby.
They probably have some talented people stashed away somewhere, but it's pretty obvious that they are completely unable to leverage that talent to produce anything worthwhile at this point. Their strategic direction has also been a mess for years, but that is easy to ignore as long as your cash cows are still printing money.
Zuckerberg and Musk have no choice but to be seen loudly investing in the latest cutting-edge technologies in order to keep their stock pumped. To fail to do this is to have the brand rot, the growth collapse, and the whole scheme come crashing to down like a house of cards.
So, what do you do in such a situation? You look for new markets where you could become a new leader. That's probably one reason for the whole push into Virtual/Augmented Reality, which so far hasn't really shown great results for the billions poured into it.
So, what's next?
Machine Learning played a huge role in successfully putting ads into the FB news feed, so there's already some ML expertise in house. And there are probably plenty of use cases for ML/AI in AR/VR too, and AI is all the hype, so why not go there next?