Investment Strategist Identifies the Next ‘Magnificent 7’ Stocks to Monitor

Investment strategist Shay Boloor has identified what he calls the “new Mag 7” of artificial intelligence (AI)-driven companies that are likely to shape the future of the digital economy over the next decade.

The original ‘Magnificent Seven’ refers to a group of dominant U.S. technology giants, Alphabet (NASDAQ: GOOG/GOOGL), Amazon (NASDAQ: AMZN), Apple (NASDAQ: AAPL), Meta (NASDAQ: META), Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA), and Tesla (NASDAQ: TSLA)—known for their outsized influence on the market.

These companies have driven significant market gains, particularly through their leadership in AI.

Now, in an Xpost on April 12, Boloor introduced a new vision of the Mag 7, spotlighting seven firms he believes are laying the groundwork for the next decade’s digital economy.

According to Boloor, Tesla (NASDAQ: TSLA), the only holdover from the original Mag 7, is no longer just an electric vehicle (EV) company. It’s building a “fully integrated real-world AI loop” that combines software, hardware, and energy infrastructure.

Tesla’s Full Self-Driving (FSD) technology, powered by its custom Dojo silicon and billions of real-world data points, forms the front end of an autonomy stack that extends into robotics through projects like Optimus.

Boloor predicts that as Optimus scales, Tesla will become the “physical operating system for intelligent infrastructure,” managing everything from vehicle networks to power grids and autonomous logistics.

Tesla is currently facing challenges, including declining sales and increased competition from Chinese manufacturers. At press time, its stock was valued at $252, marking a 33% year-to-date drop.

Palantir (NASDAQ: PLTR) is redefining institutional decision-making with its AI Platform (AIP), which Boloor described as an “execution engine.”

AIP allows enterprises to ingest, interpret, and act on complex data across the defense, healthcare, and energy sectors.

He noted that its adoption is compounding, and once integrated, Palantir becomes indispensable in high-stakes, regulated environments where trust is paramount.

Boloor emphasized that Palantir’s sticky solutions ensure long-term entrenchment, making it a cornerstone of the AI-driven enterprise.

Although PLTR has experienced volatility alongside broader markets, the stock remains green in 2025, up 17% and valued at $88.55.

Boloor stated that Snowflake (NYSE: SNOW) addresses a critical bottleneck in the AI economy: data liquidity.

He described its Data Cloud as the “connective tissue” for enterprises, enabling real-time data federation across teams, borders, and partner networks without compromising architecture.

As AI shifts from experimentation to production, Snowflake’s role becomes essential. It ensures clean, governed, high-velocity data flows to power intelligent systems. While not always in the spotlight, Boloor notes, the “bloodstream” keeps the AI economy alive.

At the close of the last trading session, SNOW stock was valued at $144, reflecting a YTD drop of almost 8%.

The expert observed that CrowdStrike (NASDAQ: CRWD) is building the security layer for the AI-driven future.

Its Falcon platform reacts to threats and learns from a global network of endpoints, creating a continuously improving detection system.

He pointed out that the firm’s expansion into identity and observability converges previously fragmented security functions into a single, AI-native architecture.

In a world of autonomous agents and adversarial AI, CrowdStrike ensures the intelligent enterprise remains protected.

At the close of the last session, CRWD was trading at $144.96, down 7% year-to-date.

Cloudflare (NYSE: NET) is enabling the future of AI by distributing compute to the edge.

With a global network spanning hundreds of cities and processing over 45 million HTTP requests per second, Cloudflare runs AI models directly at the edge—delivering instant intelligence for applications like fraud detection and personalization.

Boloor sees Cloudflare as the low-latency layer for modern apps, devices, and systems, eliminating the bottlenecks of centralized computing as the AI economy matures.

On the other hand, NET stock has also been hit by increased volatility in 2025, dropping 5.5% year-to-date to $106.25.

Axon (NASDAQ: AXON) may be the least obvious pick, but Boloor argued it’s the most vertically entrenched.

Dominating public safety infrastructure with body cams, evidence management, and AI-driven video analytics, Axon benefits from institutional capture, and agencies adopt it with few viable alternatives, locking it into 5–10-year cycles.

Its expansion into corporate security and civilian use cases positions Axon as the trusted interface for ethical, accountable AI deployment in real-world, high-stakes environments.

At press time, AXON was trading at $567, down nearly 5% year-to-date.

Last on the list is Databricks, a private firm Boloor noted streamlines AI development.

He praised the firm’s ability to eliminate silos between engineering, machine learning, and operations, enabling companies to treat AI development like software development: fast, iterative, and production-ready.

In an AI economy where speed is the competitive edge, Databricks enables continuous data ingestion, training, and deployment loops, ensuring companies can retrain and redeploy faster than rivals.

In summary, Boloor’s reimagined Mag 7 points to a new wave of AI leaders, each playing a unique role in the evolving digital economy. Their success, however, hinges on the continued growth and adoption of AI technologies.

Featured image via Shutterstock