Microsoft CEO warns: A few winners in the field of artificial intelligence could destroy the "entire industry"

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Microsoft CEO Satya Nadella has issued a warning: the AI wave is giving rise to a dangerous winner-takes-all scenario, where a handful of AI model providers could swallow almost all economic value, while industries lose control over their own knowledge assets in the process.

On June 14, Nadella posted on the social platform X, bluntly stating "What we least want to see is a world where every company, every industry hands over their value to a few 'eat-everything' models."

He made it clear that, "An AI future that hollows out entire industries will not be accepted by society." This statement quickly attracted market attention, reflecting the growing concerns within the tech industry about the increasing concentration of AI power.

Nadella's warning is not unique. Snowflake CEO Sridhar Ramaswamy and Box CEO Aaron Levie have previously issued similar warnings about the risk of AI giants monopolizing data and knowledge resources, showing that systematic concerns among senior executives at large tech companies about the current path of AI development are on the rise.

Winner-Takes-All Concerns: Knowledge Asset Loss and Industry Hollowing

In his article, Nadella compares the current AI development trend to the first stage of globalization, warning of the risk of repeating past mistakes.

"Think about what happened in the first stage of globalization—the entire industrial economy was hollowed out by outsourcing," he wrote. "On the surface, the GDP numbers looked good, but the actual displacement was real, and its consequences are still unfolding today."

This analogy points directly at the potential structural contradictions of the AI era: macroeconomic data might still look impressive, but the loss of knowledge assets and value erosion at the company and employee level may quietly accumulate beneath the surface.

Nadella believes that if a few AI model providers continue to 'harvest' corporate data and professional knowledge, industries will gradually become passive participants at the end of the value chain.

In response, Nadella advocates building a broad AI ecosystem, with the core being that companies should retain control over their own learning systems. He believes this not only helps spur innovation, but also enables companies to retain employee expertise and avoid having their core competencies replaced by external models.

Snowflake CEO Sridhar Ramaswamy voiced similar concerns on a podcast in February of this year.

He warned that large model developers are trying to create a situation where "all businesses' data in the world is easily accessible," and everything else—including software companies like Snowflake—would become 'mute data pipelines feeding that brain.'

Ramaswamy admitted that Snowflake must operate with a sense of "fear," worrying that users might abandon the AI agents developed by software companies and turn to one-stop agents that integrate all data sources.

Box CEO Aaron Levie approached the issue from a differentiation standpoint in a LinkedIn article in January of this year.

He pointed out that AI models are now able to perform high-level knowledge work across almost all professional fields, including law, strategy, and scientific research, leading to a fundamental question: "In a world where everyone has access to the same expert intelligence, how can companies differentiate themselves?"

Levie's answer: context—that is, the unique business background and data assets of a company will become the core barrier to future competition.

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