As development costs for artificial intelligence projects continue to rise, more AI projects are reassessing their monetization plans and examining how to balance the books on the back of the trillions being sunk into AI infrastructure.
At the same time, consumer sentiment around AI is declining as more AI options that seemingly offer little value get pumped into every other app. The influx has sparked broader concern about an AI bubble.
Recent major deals
In recent weeks, xAI signed a deal with Anthropic to rent out data center capacity for $15 billion per year – essentially assisting a rival in its development. Meanwhile, Meta is looking to charge AI developers for access to advanced models and capacity as part of its latest subscription offerings.
According to a new report from The Information, Meta is also looking to embed technical staff in corporate partners to help them integrate its AI models. CNBC also reported that Meta may want to rent out data center capacity to other businesses if it ends up having more space than it needs.
Executives see little impact
A study published earlier this year by the National Bureau of Economic Research found that among nearly 6,000 CEOs, CFOs and other executives, the vast majority reported seeing little operations-level impact from AI.
As per the report: “Executives report little own-firm impact of AI over the last 3 years, with nine-in-ten reporting no impact on employment or productivity.”
The report also found that executives predicted AI would boost productivity at their firms by an average of just 1.4% over the next three years – gains that may be notable but are less impressive when matched against increasing AI costs.
Uber executive questions AI costs
As reported by Business Insider, Uber Operations Chief Andrew Macdonald recently noted that it’s becoming harder to justify AI costs within the company. He said that while Uber has consistently blown through its AI token usage budget, that higher token usage has not translated into a proportional increase in useful consumer features.
The developer gap
Meta’s AI Superintelligence Chief Alexandr Wang acknowledged the AI backlash. He said, “On some fundamental level we haven’t yet demonstrated, in a very real way, how this is actually a tool for personal empowerment or personal agency.”
Wang noted that developers have a very positive view of AI because it’s changed the way they work. “They can build so many more things faster, they can build entire projects over a weekend,” he said. “That moment hasn’t happened for everyone else in the world yet.”
The bottom line
This is the fundamental misalignment with AI perception. The development community sees huge value, but regular users and businesses don’t. Add to this the fact that China-based AI developers are rolling out less expensive models that could undercut massive U.S. projects.
The overall picture does suggest an AI bubble – inflated by massive hype – that still has a way to go before it demonstrates practical value to most users.
