Originality.AI looked at 8,885 long Facebook posts made over the past six years.
Key Findings
- 41.18% of current Facebook long-form posts are Likely AI, as of November 2024.
- Between 2023 and November 2024, the average percentage of monthly AI posts on Facebook was 24.05%.
- This reflects a 4.3x increase in monthly AI Facebook content since the launch of ChatGPT. In comparison, the monthly average was 5.34% from 2018 to 2022.
I have a hard time understanding facebook’s end game plan here - if they just have a bunch of AI readers reading AI posts, how do they monetize that? Why on earth is the stock market so bullish on them?
As long as they can convince advertisers that the enough of the activity is real or enough of the manipulation of public opinion via bots is in facebook’s interest, bots aren’t a problem at all in the short-term.
surely at some point advertisers will put 2 and 2 together when they stop seeing results from targeted advertising.
I think you give them too much credit. As long as it doesn’t actively hurt their numbers, like x, it’s just part of the budget.
Engagement.
It’s all they measure, what makes people reply to and react to posts.
People in general are stupid and can’t see or don’t care if something is AI generated
they measure engagement, but they sell human eyeballs for ads.
But if half of the engagement is from AI, isnt that a grift on advertisers? Why should I pay for an ad on Facebook that is going to be “seen” by AI agents? AI don’t buy products (yet?)
yes, exactly.
Engagement is eyeballs looking at ads
… unless it’s AI masquerading as eyeballs looking at ads.
They want dumb users consuming ai content, they need LLM content because the remaining users are too stupid to generate the free content that people actually want to click.
Then they pump ads to you based on increasingly targeted AI slop selling more slop.
AI can put together all that personal data and create very detailed profiles on everyone, automatically. From that data, an Ai can add a bunch of attributes that are very likely to be true as well, based on what the person is doing every day, working, education, gender, social life, mobile data location, bills etc etc.
This is like having a person follow every user around 24 hours per day, combined with a psychologist to interpret and predict the future.
It’s worth a lot of money to advertisers of course.