Nasdaq Slips as AI Spending Fears Trigger Tech Selloff

The Nasdaq Composite stumbled on Tuesday, February 17, 2026, as mounting concerns over artificial intelligence capital expenditures triggered a broad selloff across technology stocks, while traditional safe-haven assets also retreated in a sign of shifting market sentiment.

Nasdaq Stumbles on AI Spending Fears

Microsoft shares declined amid the AI-driven selloff, with markets questioning whether the company’s substantial AI investments will generate sufficient returns to justify current valuations. Broadcom tumbled more than 5% in pre-market trading despite reporting a significant backlog in AI product orders, as its sales outlook for the AI market disappointed traders expecting more robust growth projections.

Advanced Micro Devices experienced notable losses following underwhelming earnings and broader concerns about AI growth sustainability. Micron Technology fell approximately 3% after announcing a $200 million capital expenditure program aimed at expanding AI memory chip production capacity, with markets weighing the immediate financial impact against uncertain long-term returns.

The technology-heavy Nasdaq Composite recovered from early session lows but remained under pressure as the AI investment narrative that propelled valuations higher throughout 2024 and 2025 faced its most serious challenge to date.

Core Details

The current market turbulence stems from a fundamental reassessment of artificial intelligence investments across the technology sector. Major technology companies have committed tens of billions of dollars to AI infrastructure, research, and development, with capital expenditure budgets swelling to unprecedented levels.

Broadcom’s quarterly results highlighted this tension. While the semiconductor company reported strong AI product demand with a substantial order backlog, its forward guidance for AI-related revenue failed to meet the elevated expectations that had driven its valuation higher. Additionally, the company noted margin pressure from a higher mix of AI-related revenue, raising questions about profitability as well as growth.

Micron’s $200 million investment in AI memory chip production represents the company’s effort to capture growing demand for high-bandwidth memory essential to AI applications. However, markets reacted negatively to the announcement, concerned about the time required to bring new capacity online and generate returns on the substantial capital outlay.

The selloff extended beyond individual companies to encompass software stocks broadly, with markets reassessing valuations across the sector. This represents a significant shift from the AI enthusiasm that characterized trading throughout much of the previous two years, when any mention of artificial intelligence capabilities could drive share prices higher.

Broader Market Impact

The retreat in safe-haven assets added another layer of complexity to Tuesday’s market action. Gold and silver both posted declines, while Bitcoin fell more than 3%, reflecting what analysts describe as a risk-off sentiment that paradoxically pressured both growth stocks and traditional defensive positions.

This simultaneous decline in technology stocks and safe havens suggests markets are hunting for direction amid uncertainty about the economic impact of AI investments. The divergence between precious metals and digital assets like Bitcoin highlights evolving investor priorities as they navigate geopolitical instability and macroeconomic uncertainty.

The technology sector’s struggles come against a backdrop of broader market caution. Earlier in February, concerns about AI’s impact on traditional business models triggered sharp declines, with the Nasdaq falling 2% on February 12 as markets began identifying potential losers from AI disruption rather than focusing solely on winners.

Nasdaq Outlook and Analysis

The current market environment represents a critical inflection point for technology valuations. After years of enthusiasm about AI’s transformative potential, markets are now demanding concrete evidence that massive capital expenditures will translate into proportional revenue growth and sustainable profit margins.

Analysts have begun downgrading certain technology stocks, citing concerns about operating margin compression and the extended timeline required for AI investments to generate returns. This shift in analyst sentiment reflects a more sober assessment of the risks associated with the AI buildout, even as the long-term potential remains largely unquestioned.

Technical indicators suggest the Nasdaq faces near-term headwinds, with the index’s recovery from early session lows on Tuesday indicating some buying interest at lower levels but insufficient conviction to reverse the broader downtrend. Support levels established during previous corrections may be tested if concerns about AI spending continue to weigh on sentiment.

The semiconductor sector faces particular scrutiny, as companies like Broadcom, AMD, and Micron navigate the transition from traditional chip sales to AI-focused product portfolios. While demand for AI chips remains robust, questions about pricing power, margin sustainability, and competitive dynamics have emerged as key considerations for markets evaluating these stocks.

Looking Ahead

The coming weeks will prove critical for technology stocks as earnings season continues and companies provide updated guidance on AI spending and revenue expectations. Markets will scrutinize commentary from executives about the pace of AI adoption, customer demand signals, and the timeline for achieving returns on capital deployed.

Microsoft’s position remains particularly important given its leadership role in AI through partnerships and internal development. Any indication that AI-related revenue is falling short of the company’s substantial investments could trigger further sector-wide weakness, while evidence of accelerating adoption and improving unit economics could help stabilize sentiment.

Nasdaq Analyst Summary

The path forward for technology stocks hinges on whether companies can demonstrate that their AI investments are translating into tangible business results rather than remaining speculative bets on future demand. Markets appear willing to reward execution and punish promises, marking a maturation of the AI investment thesis from unbridled enthusiasm to data-driven evaluation. Until companies can prove that their billions in AI capital expenditures will generate commensurate returns, volatility is likely to persist as markets balance the technology’s transformative potential against the very real financial risks of getting the timing or scale wrong.