Bain 2025 Technology Report Interpretation: AI Computing Power Demand Grows Far Beyond Moore’s Law, Transformation of Enterprise “Core IT Infrastructure” Is Imperative

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Author: Long Yue

Source: Hard AI

A 2025 technology report from Bain reveals a cruel and clear reality behind the AI revolution: the demand for computing power is growing out of control, while enterprise infrastructure is seriously lagging behind.

On October 20, Barclays analyst Raimo Lenschow analyzed this report, believing it reveals two irreversible trends: the growth rate of AI's demand for computing power has far surpassed Moore's Law, and enterprises must modernize their outdated core IT architecture if they wish to profit from it.

Computing Power Demand Far Surpasses Moore’s Law

The most eye-catching point of the report is that AI-driven demand for computing power is growing at a rate of 4.5 times per year, a pace more than double that of Moore's Law (about a doubling in chip efficiency every two years).

This means technological innovation can no longer keep up with demand. This imbalance will trigger massive investments in data center infrastructure.

According to Bain's analysis, by 2030, global computing power demand may reach 200 gigawatts (GW), with the U.S. alone accounting for 100 GW. Building such capacity would require about $500 billion in capital expenditure annually, corresponding to $2 trillion in annual revenue.

Barclays points out that although government subsidies can hardly fill such a huge funding gap, actions from the private sector are even more aggressive. Moves like OpenAI signing trillion-dollar computing power contracts indicate that future investment levels will only continue to rise.

This prediction is being confirmed by market action. According to Reuters, an investment group backed by BlackRock and Nvidia recently acquired data center operator Aligned Data Centers, which owns nearly 80 sites, for $40 billion. Meanwhile, Morgan Stanley estimates that tech giants including Alphabet, Amazon, and Meta will spend up to $400 billion on AI infrastructure this year.

Enterprise Modernization: The Only Way to Harness AI

Beyond the compute power race, another core focus of the report is the urgent need for enterprise IT modernization.

As AI evolves from simple information retrieval (Tier 1 agents) to executing complex workflows (Tier 2 and Tier 3 agents), enterprises are finding themselves unprepared. Enterprise clients remain cautious about fully relying on autonomous AI agents without human supervision.

To truly harness AI, especially more intelligent “Agentic AI”, enterprises must thoroughly modernize their IT. Agentic AI can think, reason, and act based on user instructions, far beyond basic information retrieval chatbots.

Bain believes the solution is to change the architecture surrounding agents. The report suggests, "Companies must modernize their core IT infrastructure and build in observability features to provide an appropriate ecosystem for these agents."

For investors, this means that in the second half of the AI era, the battlefield will shift from pure compute hardware to software and service providers that help enterprises complete this painful but necessary transformation. This is not just a technological upgrade, but a battle for survival.

This article is from WeChat Official Account “Hard AI”. For more frontier AI news, please go here.

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