Not every investor is interested in technology stocks. The sector can be prone to boom-and-bust cycles, and the enthusiasm for certain technologies (ahem, virtual reality) doesn't always translate into wins for investors.
But about 32% of the S&P 500 are tech stocks, and much of the gains the market makes come from this sector. That should be enough to convince you that holding at least a handful of tech stocks for the long term is a smart move. Here are three you should consider buying now.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Broadcom's niche AI play
Broadcom (NASDAQ: AVGO) designs application-specific integrated circuits (ASICs), which are specialized processors that are used in artificial intelligence (AI) data centers. While Nvidia (NASDAQ: NVDA) gets most of the attention for its AI chips -- and it should -- Broadcom fills a specific niche in the AI processor market, designed for targeted purposes like networking or running specific AI models.
The company will have an estimated 60% of the ASIC market by next year, according to CounterPoint Research, giving Broadcom a dominant position in this important AI market. And Broadcom is already benefiting from its lead, with AI revenue surging 106% in Q1 2026 to $8.4 billion.
More AI sales are on the way, too, with Broadcom's management saying that it expects AI revenue to be $10.7 billion in Q2 2026, representing a 143% increase from the year-ago quarter.
I'll confess that Broadcom's stock isn't exactly cheap. The company's shares have a trailing price-to-earnings (P/E) ratio of 60, compared to the tech sector average of about 37. But with Broadcom's niche in ASICs and demand for more AI data centers still high, this tech stock still looks like a good long-term tech play.
Nvidia's dominance can't be overstated
Nvidia may be the most obvious tech stock recommendation these days, but there are a few good reasons why it's worth investing in.
First, no other company comes close to Nvidia's dominance in AI processors. Nvidia has about 86% market share in AI data center chips, leading to massive sales and earnings growth for the company. In the recently reported fiscal year 2026, Nvidia's data center revenue jumped 68% to nearly $194 billion.
And just recently, CEO Jensen Huang said that Nvidia's AI processors could bring in $1 trillion in revenue through 2027. That huge demand is likely fueled by increasing AI data center spending by tech giants. Capital expenditures for Microsoft, Amazon, Meta Platforms, and Alphabet will reach $650 billion this year, with most of the spending going to artificial intelligence data centers.
Facts Only
Broadcom designs application-specific integrated circuits (ASICs) for AI data centers.
Broadcom is projected to hold 60% of the ASIC market by next year, according to CounterPoint Research.
Broadcom’s AI revenue increased 106% in Q1 2026 to $8.4 billion.
Broadcom expects AI revenue of $10.7 billion in Q2 2026, a 143% year-over-year increase.
Broadcom’s trailing P/E ratio is 60, compared to the tech sector average of 37.
Nvidia holds approximately 86% market share in AI data center chips.
Nvidia’s data center revenue grew 68% in fiscal year 2026 to nearly $194 billion.
Nvidia’s CEO projects $1 trillion in AI processor revenue through 2027.
Microsoft, Amazon, Meta Platforms, and Alphabet are expected to spend $650 billion in 2026 on AI data centers.
Technology stocks comprise about 32% of the S&P 500.
The article suggests holding at least some tech stocks for long-term investment.
Executive Summary
Full Take
The narrative presents a strong case for investing in Broadcom and Nvidia, emphasizing their dominance in AI infrastructure and the broader tech sector’s outsized influence on market gains. The steelman here is compelling: both companies are riding a wave of AI adoption, with concrete revenue growth and market share data supporting their positions. Broadcom’s niche in ASICs and Nvidia’s near-monopoly in AI chips are framed as durable competitive advantages, justified by surging demand from hyperscale cloud providers.
However, the analysis leans heavily on growth projections and market share dominance without deeply interrogating risks. For instance, the high P/E ratios of both stocks are acknowledged but dismissed as justified by future growth—a classic example of **ARC-0012 Overconfidence in Projections**. The piece also employs **ARC-0024 Ambiguity** by conflating sector-wide trends (e.g., "tech stocks comprise 32% of the S&P 500") with the performance of individual stocks, implying correlation equals causation. The absence of counterarguments—such as regulatory risks, potential saturation in AI spending, or competitive threats from startups or geopolitical shifts—creates a **ARC-0030 False Consensus** effect, where dissenting views are implicitly marginalized.
Root cause: The paradigm here is "AI as an unstoppable megatrend," an assumption that underpins the entire argument. This echoes historical tech bubbles (e.g., dot-com, crypto) where extrapolated growth justified lofty valuations—until it didn’t. The unstated assumption is that AI adoption will continue linearly, ignoring cyclical risks or black swan events (e.g., energy constraints, algorithmic limitations).
Implications: If correct, early investors in these stocks stand to benefit enormously, but the costs of being wrong—overconcentration in a volatile sector—are glossed over. Second-order consequences include potential overinvestment in AI infrastructure leading to a supply glut, or regulatory backlash against monopolistic practices.
Bridge questions: What metrics would signal that AI demand is plateauing? How might geopolitical tensions (e.g., U.S.-China tech rivalry) disrupt these companies’ supply chains or market access? If AI’s economic returns underperform expectations, what happens to valuations built on "trillion-dollar" projections?
Counterstrike scan: A coordinated influence campaign would amplify FOMO (fear of missing out) by highlighting outsized gains while downplaying risks, using authoritative-sounding projections (e.g., "$1 trillion in revenue") to create urgency. This piece aligns with that playbook but stops short of outright manipulation—it’s more a reflection of prevailing market optimism than a deliberate distortion. The lack of critical counterpoints is notable but not necessarily sinister; it’s a common blind spot in bullish tech analysis.
Sentinel — Human
The article is likely human-written. It demonstrates variation in sentence length, a personal tone, and no apparent coordination indicators or fabrication risks.