AI fears serious, but frontier slowdown unlikely: BMO
Yahoo Finance ·
BMO noted on Friday that while artificial intelligence safety concerns are valid, leading AI laboratories show little indication of slowing their development pace. Highlighting continuous rollouts of advanced models by developers like Anthropic and OpenAI, the brokerage questioned their commitment to self-regulation. Amid discussions at a recent U.S.-China summit, BMO expects both nations to tighten regulations primarily targeting open-source and open-access models rather than closed systems. Meta Platforms has strengthened its AI positioning, though it still lags behind frontier leaders. Meanwhile, BMO remains bullish on AI hardware due to mounting scarcity in computing power. White-collar job displacement is projected to become significant by 2028, with blue-collar roles impacted later in the 2030s due to Moravec's Paradox. Token prices are expected to decline before bottoming out around 2030, after which closed-source providers will likely raise prices as user dependency deepens.
AI 시장 분석
According to BMO analysis, despite AI safety concerns, major labs are not expected to slow down their development pace. Stricter open-source regulations by the US and China will increase the pricing power of closed models, and demand for AI hardware is projected to remain strong. Investors should closely monitor future regulatory trends and usage growth driven by falling token prices.
상승 영향
- AI — Despite AI safety concerns, major labs maintain their development speed, and falling token prices cause AI tool usage to surge, expanding related demand.
- Semiconductors — As AI users' capabilities exceed expectations, the scarcity of computing power deepens, and strong demand for AI hardware will persist.
DYAX 전담 분석
Despite AI safety controversies, leading labs such as Anthropic and OpenAI continue to release high-performance models, maintaining their development velocity. As open-source regulations are discussed in events like US-China summits, stricter regulations such as prior approval for open models will further strengthen the market dominance and pricing power of closed frontier labs.
In a bullish scenario, deepening scarcity of computing resources will cause AI hardware demand to surge, rapidly boosting earnings for related infrastructure companies. Conversely, in a bearish scenario, excessive regulations on open-source models could slow down innovation across the entire AI ecosystem and increase cost burdens. Key monitoring indicators are the passage of AI regulatory bills in the US and China, and the downward trend in token prices.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 62% · Bearish (Short) 38%
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