Satya Nadella argued Tuesday (Jan. 20) that artificial intelligence (AI) needs to expand beyond big tech and wealthier economies to a wide range of industries.
“For this not to be a bubble by definition, it requires that the benefits of this are much more evenly spread,” said Nadella, whose comments at the World Economic Forum’s annual summit in Davos, Switzerland, were reported by the Financial Times (FT).
He added that a “telltale sign of if it’s a bubble“ would be if tech companies were the only ones benefiting from the rise of AI, instead of businesses in other sectors. Still, the CEO said he was confident that AI would ultimately be transformative across industries.
“I’m much more confident that this is a technology that will, in fact, build on the rails of cloud and mobile, diffuse faster, and bend the productivity curve, and bring local surplus and economic growth all around the world,” he said.
The FT noted an increasing body of data from tech companies, Microsoft among them, shows a divide in global AI adoption rates, with productivity benefits and work applications being concentrated among wealthier developed countries.
Nadella also stressed his opinion that the future of AI adoption would not depend on one dominant model provider, which has driven his company’s decision to work with several AI firms, such as Anthropic and xAI, along with longtime partner OpenAI.
Meanwhile, PYMNTS wrote Tuesday about the prominent place AI occupies at Davos this year. There’s been a special focus on agentic and enterprise AI, or systems that don’t simply generate content, but are capable of reasoning, orchestrating workflows and taking actions inside real operating environments, such as commerce and payments.
“For financial services leaders, the most consequential Davos-adjacent AI storyline may be the emerging rails for agent-led shopping and payments,” the report added. “Mastercard is positioning itself as the infrastructure and rules layer for agentic commerce, arguing that the competitive battle isn’t only about model performance but about trust, identity, and secure authorization when software agents spend money.”
