Carlo Versano and Ed Zitron questioned what AI companies are actually selling during a recent appearance on The 1600 YouTube channel.

Their critique highlights a growing tension between corporate promises of a technological revolution and the actual utility of AI tools for the average user. As companies pivot their entire business models toward artificial intelligence, the gap between marketing and functionality has become a focal point for industry skeptics.

Versano and Zitron said AI firms are making vague, hype-driven claims that lack concrete consumer value. They called for clearer explanations of what these AI breakthroughs actually achieve. This skepticism comes as some industry leaders attempt to frame the technology as a universal benefit. Mark Zuckerberg recently wrote a 6,500-word essay [1] stating, "The Future is for Everyone."

However, other industry observers disagree with the direction of the major labs. Tim O’Reilly said the big AI labs don’t get what people want. This disconnect is further complicated by reports regarding the quality of the data used to train these systems. Futurism staff said the people paid to improve chatbots are simply feeding "AI slop" into them.

The financial cost of this transition is evident in the labor market. Approximately 142,000 tech workers have been fired to fund AI projects that are not yet working [2]. This suggests a high-stakes gamble by executives who are prioritizing future potential over current workforce stability.

Despite these layoffs, some analysts maintain that the transition is succeeding. One report highlighted five companies winning with AI by creating new products, and business models [3]. This creates a stark contradiction between those seeing a new era of productivity and those seeing a bubble fueled by corporate spending and workforce reductions.

The big AI labs don’t get what people want.

The divide between AI's perceived value and its actual utility suggests a volatile period for the tech sector. While a small number of companies may find success, the massive scale of layoffs compared to the lack of a 'killer app' for general consumers indicates that the industry is currently relying on investor optimism rather than proven market demand.