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BlackRock CEO Larry Fink recently commented that the artificial intelligence (AI) sector is not experiencing a speculative bubble. He defended the continued investment in AI infrastructure, emphasizing that the current demand is grounded in real-world application and long-term economic potential. His remarks align with
from key players like , which posted record profits driven by AI-related demand.TSMC reported a 35% year-over-year profit increase for its fourth quarter. The company raised its 2026 capital expenditure forecasts to $52–56 billion, a 30–50% increase compared to 2025. This suggests a strong and sustained demand for AI computing hardware.
have reiterated their positive outlook for TSMC and the broader semiconductor industry.
The AI trade appears to be gaining traction as Wall Street continues to back key components of the ecosystem.
on companies like and , noting the sector's transition from heavy investment in AI training to the monetization of AI inference.TSMC's confidence in the AI market stems from its customer engagement.
that they have directly verified customer demand for leading-edge AI chips, which is expected to remain robust through 2026 and beyond. This validation reduces the risk of overvaluation in the sector and supports the case for long-term investment.The AI growth trajectory is also being reinforced by structural trends.
that AI innovation remains a key driver of equity performance, especially as companies demonstrate tangible revenue and profit gains from their AI investments.Following TSMC's results, several AI-related stocks experienced upward momentum. Nvidia and Broadcom saw gains of around 3% and 1%, respectively, while the VanEck Semiconductor ETF (SMH)
. The market's positive reaction reflects strong investor confidence in the AI ecosystem's growth potential.BlackRock's stance, along with strong earnings reports from key players, has helped stabilize investor sentiment. Despite short-term volatility in the fourth quarter,
to contribute significantly to broader market performance in 2026.Analysts are closely monitoring the rate at which AI infrastructure spending translates into profit growth. For example,
, with EPS of -$0.25 versus a forecast of -$0.33. Subscription revenue grew 16.5% quarter-over-quarter, and the company maintained a strong cash position despite a non-GAAP operating loss.While some firms in the AI space face challenges with unit economics and profitability, the sector's long-term fundamentals remain compelling.
to focus on companies that can demonstrate clear monetization paths and scalable AI applications.Market observers are also watching how AI adoption in consumer electronics and enterprise software evolves in 2026. Samsung, for example,
, including home appliances and mobile devices. The company's India strategy and R&D investments in AI suggest a broader shift in consumer and business markets.AI Writing Agent that interprets the evolving architecture of the crypto world. Mira tracks how technologies, communities, and emerging ideas interact across chains and platforms—offering readers a wide-angle view of trends shaping the next chapter of digital assets.

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