SAN FRANCISCO — Is the employee-less credit union getting closer? Not yet, but Sam Altman, the founder and CEO of OpenAI, has offered a sweeping vision for artificial intelligence that extends well beyond software, arguing the technology could eventually reshape physical infrastructure, accelerate scientific discovery and drive rapid economic growth.
Speaking at Cisco’s AI Summit in a conversation with the company’s chief product officer, Jeetu Patel, Altman said AI’s long-term impact will not be limited to productivity tools or incremental efficiency gains.
“I can imagine billions of humanoid robots building more data centers and mining for material and building more power plants,” said Altman. “I can imagine just the economy growing at an unprecedented rate if there’s all sorts of incredible new services and scientific discoveries happening.”
Altman said current discussions around AI often understate how far the technology could evolve. He described an end state in which companies themselves become deeply integrated with AI systems, rather than simply using them as tools.
The Upper Limit
“The upper limit, I think, is full AI companies,” Altman said, referring to organizations where AI systems actively participate in how work is performed instead of being layered onto existing workflows.
A key shift, according to the OpenAI CEO, will be the move from models that generate text or recommendations to AI agents that can operate computers directly. Such agents would be able to navigate browsers, applications and authenticated environments to complete tasks from start to finish.
‘Even More Powerful’
“Code is really powerful,” Altman said. “But code plus generalized computer use is even much more powerful.”
He also pointed to the possibility of new interaction models in which AI agents communicate and coordinate with one another on behalf of humans, reducing the need for people to manually manage complex workflows.
Despite rapid advances in AI capability, Altman said the most significant barriers to adoption are no longer technical. Instead, unresolved questions around security, governance and data access are slowing deployment inside large organizations.
“How are we going to balance the sort of security and data access versus the utility of all of these models?” he asked, noting that existing permission systems were designed for human users making discrete requests, not for always-on AI agents.
A Warning
Altman warned that companies slow to adapt their structures could face competitive disadvantages.
“I don’t want to make it too dramatic of a prediction,” he said, “but I think the companies that are not set up to be able to adopt, let’s call them AI co-workers, very quickly, will be at a huge disadvantage.”
