Superintelligent AI Could Outperform Humans by 2030, Deutsche Bank Says
Yahoo Finance ·
Superintelligent artificial intelligence could surpass human experts across nearly all cognitive domains by 2030, potentially reshaping global commerce and markets, according to a recent Deutsche Bank Research report published on October 12. Analysts Adrian Cox and Azeem Azhar noted that advanced AI utilizing recursive self-improvement could function similarly to assembling elite global specialists for corporate problem-solving. This shift is projected to drastically slash the costs of cognitive labor, including software engineering, scientific inquiry, legal review, and technical design. Over the past three years, comparable AI performance costs have dropped nearly by half every quarter, translating to an annual decline of roughly thirteenfold. Tech giants such as Alphabet, Amazon, Meta, Microsoft, and Oracle are projected to invest nearly $800 billion in capital expenditures in 2026, with annual spending potentially topping $1 trillion through 2030. Nevertheless, the analysts cautioned that hardware demands, regulatory hurdles, and institutional resistance could hinder adoption, meaning superintelligence remains a possibility rather than a certainty.
AI 시장 분석
According to Deutsche Bank Research, artificial superintelligence could surpass human experts in all cognitive tasks by 2030, with AI costs nearly halving every quarter over the past three years. Major tech giants such as Alphabet, Amazon, Meta, Microsoft, and Oracle are expected to execute about $80 billion in capital expenditures in 2026 alone. This technological advancement is projected to dramatically lower cognitive labor costs and bring significant changes to corporate competitiveness.
상승 영향
- AI — The advent of artificial superintelligence and decreased cognitive labor costs enhance the productivity of tech leaders, while continued big tech CapEx directly drives the growth of the related ecosystem.
- Energy — As AI computing power advances, the demand and value of physical infrastructure such as power and equipment are surging, benefiting related energy and infrastructure suppliers.
하락 영향
- Software — As AI rapidly drops cognitive labor costs in software development and other areas, the pricing power and margins of traditional IT service and software companies could face pressure.
DYAX 전담 분석
The emergence of artificial superintelligence and the sharp decline in costs create a causal chain reaction that dramatically lowers cognitive labor costs in areas like software development and scientific research, significantly enhancing the productivity and profitability of technology-leading companies. On the other hand, demand for physical infrastructure such as power, land, and equipment is surging, which may increase upward cost pressures.
The bullish scenario is that infrastructure expansion and deregulation accelerate AI adoption, causing big tech revenue and profits to surge. The bearish scenario is the widening cost burden due to delayed monetization relative to massive capital expenditures (CapEx) along with regulatory and organizational resistance. Key indicators to watch are big tech CapEx scale and power infrastructure supply-demand metrics.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
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