AI Investment Also Favors the 'Winner Takes All'... Top 1% of Companies Spend 600 Times More Than Median Companies

[Block Media Reporter Lee Jeong-hwa] While the growth of the artificial intelligence (AI) market continues, actual investment and consumption are concentrated among a few companies and users. Despite massive funding being poured into AI infrastructure such as data centers, semiconductors, and power, the practical adoption of AI by companies and households remains in its early stages.

On the 5th (local time), according to the U.S. investment industry, venture capital firm Andreessen Horowitz (a16z) analyzed in its recently published "Market Status II" report that a clear 'winner takes all' phenomenon is evident in the AI market, where investment and spending are concentrated among a few companies and users.

Top 1% of Companies Spend 600 Times More on AI Than Median Companies

According to Andreessen Horowitz, companies in the top 1% of AI-related spending invest about eight times more in AI than those in the top 10%.

When compared to the median spending of all companies, the gap widens significantly. The AI-related spending of the top 1% of companies is over 600 times greater than that of the median companies.

This indicates that the competition for adopting AI technology is progressing around a few large companies with capital and technological capabilities, rather than spreading evenly across all companies.

A similar phenomenon is observed in the consumer market.

Among consumers using paid AI services, the top 1% of spenders accounted for 19.5% of total spending, which is higher than the 16.6% share of the bottom 50% of spenders.

Top 1% users spent an average of $903 per month on AI services, while the average monthly expenditure for typical users was only around $25.

Although the number of users of AI services is rapidly increasing, actual revenue significantly relies on a small number of high-spending so-called 'power users.'

Investing $1 Trillion in Infrastructure... Actual AI Utilization is in Early Stages

In the AI market, investment in infrastructure has explosively increased before service usage.

Andreessen Horowitz assesses the current AI market as being in the infrastructure building stage, where computing demand outpaces supply.

The annual capital expenditure of large cloud providers, known as hyperscalers, is estimated to approach $1 trillion. Funds are flowing into not only AI semiconductors and data centers but also physical infrastructure such as power grids, networks, and robotics.

In contrast, indicators showing how much AI is actually improving performance in companies are still limited.

About 30% of S&P 500 companies have publicly disclosed quantitative effects from AI adoption at least once, but only about 2% of these companies are continuously tracking related metrics.

The paid usage rate among households is also low. As of April, about 2% of U.S. households had paid for AI services.

As of August, the proportion of paid subscribers to major generative AI services like ChatGPT, Gemini, and Claude was only about 4.5%.

While capital investment in AI infrastructure is rapidly expanding, the process of applying this to actual work and consumption to achieve sustained revenue or productivity improvements is still in its early stages.

AI Stocks Rise, Driven by Performance Rather Than 'Overvaluation'

Andreessen Horowitz also noted that the recent rise in tech stocks is due to actual profit increases of companies rather than an expansion of valuation multiples like price-to-earnings ratios as seen in the past.

This year, the profits of tech companies have increased by about 56%, while stock prices have only risen by 20%.

As corporate profits grow faster than stock prices, the valuation multiples have actually decreased. This suggests that stock prices have not risen solely on AI expectations, but rather that the performance growth of related companies supports the stock market.

In this regard, Andreessen Horowitz predicts that technology investments centered around AI will not only remain within the tech sector but will also change the flow of global capital markets.

As investments in AI data centers increase, demand for semiconductors, power, and network equipment will also rise, and the scope of investment will expand to robotics, manufacturing, and defense.

The report describes this as the 'cycle of everything.' While the advancement of specific technologies in the past only impacted their respective industries, AI is stimulating capital expenditures across a wide range of industries from power and infrastructure to manufacturing.

David George, General Partner at Andreessen Horowitz, emphasized that "the share of AI infrastructure in GDP has surpassed the levels seen during the railroad construction era," and that future AI investments could expand into robotics, biotechnology, and healthcare.

However, whether the current growth structure of the AI market can be sustained depends on the actual adoption speed. If the massive funds being invested in infrastructure do not lead to improvements in corporate productivity and an increase in consumer paid service usage, the gap between investment scale and actual demand may widen.

Whether the AI market can transition to the next growth stage ultimately depends on how quickly the demand concentrated among a few companies and power users spreads to general businesses and consumer segments.

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