On October 9, Scott Ladner, Chief Investment Officer at Horizon Investments, appeared on CNBC to state that this is still a tech-driven, AI-driven market. According to the LSEG tracker, since July, only three sectors are expected to see an improvement in their earnings growth: Tech, Communications Services, and Financials. Ladner stated that it’s always wise to revert to the fundamentals. He broadly confirmed that the current market is still dominated by the tech trade, being driven by AI. He emphasized that this is not just due to the AI applications themselves, but also the massive infrastructure needed to build out the AI necessary to permeate the US and global economic systems. He expressed doubt that many people truly understand the scale of building required for the AI productivity gains to fully materialize.

Given the circularity of the AI trade that is being widely displayed, and discussing the high valuations and the funding models of these companies, Ladner agreed that questioning these things is always acceptable, but argued that the valuations are likely fairly well supported if the current infrastructure build is merely a few hundred billion dollars into a multi-trillion dollar infrastructure build. Crucially, Ladner pointed out that this circularity and build-out is currently being financed through cash flows and operating profits, not through debt as was the case during the late 1990s and early 2000s, which makes the current build sustainable and healthy, alleviating some immediate fears. Ladner also clarified his interest in going not merely adjacent to the tech trade, but focusing on the infrastructure play itself, which he believes will be one of the most important areas for AI gains. He predicted that the rest of the current year will likely still be dominated by the pure-play tech stocks, but moving into next year, as people recognize the immense scale of the infrastructure build necessary to roll out AI to the worldwide economy, these infrastructure places will appear really undervalued.

That being said, we’re here with a list of the 12 best big tech stocks to invest in now.

Our Methodology

We sifted through the Finviz stock screener to compile a list of the top tech stocks with market capitalizations of at least $250 billion. We then selected the 12 stocks that were the most popular among elite hedge funds and that analysts were bullish on. The stocks are ranked in ascending order of the number of hedge funds that have stakes in them, as of Q2 2025. The hedge fund data was sourced from Insider Monkey’s database.

Note: All data was sourced on October 17. 

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 427.7% since May 2014, beating its benchmark by 264 percentage points (see more details here).

12 Best Big Tech Stocks to Invest In Now

12. Palantir Technologies Inc. (NASDAQ:PLTR)

Market Capitalization as of October 17: $422.63 billion

Number of Hedge Fund Holders: 78

Palantir Technologies Inc. (NASDAQ:PLTR) is one of the best big tech stocks to invest in now. On October 16, Palantir Technologies and Snowflake Inc. (NYSE:SNOW) announced a new partnership to enhance enterprise-ready AI and analytics. The partnership integrates Snowflake’s AI Data Cloud with Palantir Foundry and Palantir Artificial Intelligence Platform/AIP. The integration will enable commercial and public sector customers to build more efficient and trusted data pipelines, faster data analytics, and robust AI applications.

A key technical feature is the expanded integration between Foundry and Snowflake Iceberg Tables, which allows joint customers to achieve bidirectional, zero-copy interoperability. One flagship customer using this new partnership is Eaton, which is a global intelligent power management company operating in over 175 countries.

Eaton is using the integration to build a best-in-class data foundation supported by AI-enabled workflows. By combining data from various sources into a unified, AI-ready, secure source of truth across both platforms, Eaton eliminates data duplication, supports enterprise-wide governance, and increases the development speed of AI applications. The partnership aims to reduce friction for customers to more easily deploy intelligent applications and accelerate time to value.

Palantir Technologies Inc. (NASDAQ:PLTR) builds and deploys software platforms for the intelligence community to assist in counterterrorism investigations and operations in the US, the UK, and internationally.

Snowflake Inc. (NYSE:SNOW) provides a cloud-based data platform for various organizations in the US and internationally.

11. Advanced Micro Devices Inc. (NASDAQ:AMD)

Market Capitalization as of October 17: $378.25 billion

Number of Hedge Fund Holders: 113

Advanced Micro Devices Inc. (NASDAQ:AMD) is one of the best big tech stocks to invest in now. On October 14, Advanced Micro Devices, or simply, AMD, and Oracle Corporation (NYSE:ORCL) announced a significant expansion of their multi-generation partnership to help customers achieve next-generation AI scale. This builds on years of co-innovation, which included the launch of AMD Instinct MI300X powered shapes on Oracle Cloud Infrastructure/OCI in 2024.

The key announcement is that Oracle will be the first hyperscaler to offer a publicly available AI supercluster powered by the next-generation AMD Instinct MI450 Series GPUs. The deployment of this AI supercluster will begin in calendar Q3 2026 with an initial installment of 50,000 AMD Instinct MI450 Series GPUs, with plans for further expansion in 2027 and beyond.

The new OCI AI superclusters will be powered by the AMD “Helios” rack design, which includes the AMD Instinct MI450 Series GPUs, next-generation AMD EPYC CPUs codenamed “Venice,” and next-generation AMD Pensando advanced networking codenamed “Vulcano.” This vertically-optimized, rack-scale architecture is designed for maximum performance, scalability, and energy efficiency for large-scale AI training and inference.

Advanced Micro Devices Inc. (NASDAQ:AMD) is a semiconductor company that operates in three segments: Data Center, Client & Gaming, and Embedded.

Oracle Corporation (NYSE:ORCL) offers products and services that address enterprise information technology environments worldwide.