Billionaire investor and former Shark Tank judge Mark Cuban has raised a striking contradiction at the heart of Big Tech’s artificial intelligence ambitions.
Cuban published a series of posts on X, formerly Twitter, on September 15, arguing that Meta (NASDAQ: META) and Alphabet’s Google (NASDAQ: GOOGL) may be financing their AI buildouts using advertising revenue generated by content that turns people against AI.
His central argument is that social media algorithms reward anti-AI content with greater reach, which drives higher engagement, which in turn produces more ad revenue for the very companies racing to dominate artificial intelligence.
Cuban wrote: “I think it’s going to be interesting to watch the irony of the social media algos amplifying the [anti-AI] sentiment far beyond any positive AI sentiment.”
He further warned that Meta and Google could end up “trying to make enough money from pushing people to hate AI, to subsidize their AI,” creating a self-defeating financial loop at the core of their business models.
The tension Cuban is identifying goes beyond the familiar concern that algorithms spread misinformation, pointing instead to a structural financial incentive embedded in how these platforms operate.
A user responding to Cuban argued that algorithms do not need to be explicitly anti-AI, suggesting they may simply learn that fear, anger, and anxiety over AI keep users engaged longer than positive content, to which Cuban replied: “I look at those as being the same.”
Cuban expanded his argument in a follow-up post, contending that frontier AI companies may have powerful models but lack control over the social media systems that determine what content goes viral.
He stated that he believes there is a “far greater risk from what humans do in response to what they see on social media than what agent swarms will do,” shifting focus away from the technology itself toward the behavioral dynamics it provokes.
Cuban also pointed out that companies such as OpenAI and Anthropic, despite operating some of the most advanced AI systems available, are incapable of reverse-engineering social media algorithms to spread their own narratives virally.
He raised the possibility that the equation could shift significantly if AI agents eventually gain control over social media algorithms, a development that would restructure the entire dynamic he described.
Cuban made clear he was not calling for a halt to AI research, noting that he did not view such an outcome as practical, keeping his critique focused on the business model contradiction rather than the technology itself.
