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Dear Client,

It feels like déjà vu. Whether we called them FAANG, the Fab Five, or today’s Magnificent 7, one thing is clear: tech has dominated the headlines and portfolios for nearly a decade. From the early days of the COVID-19 pandemic to the rise of generative AI, these companies have consistently led the charge. As an independent financial planner and former advisor at large institutions, I’ve been hearing questions like:

• “Should I just own the Magnificent 7?”
• “Is diversification dead?”
• “What if I miss the next big thing?”

Let’s take a step back. In this post, I’ll break down:

• What the Magnificent Seven really represent
• How AI is changing the economic landscape, and
• Why diversification still matters, maybe more than ever

The “Magnificent Seven” and Market Performance

Think of the Magnificent Seven stocks, Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, and Tesla, as the caffeine of the market. Sure, a portfolio can survive without them… but will it thrive?

Just like I wouldn’t skip my morning coffee, these stocks have become a necessary jolt to portfolio performance, especially in today’s economy. Yes, a healthy diet (diversified portfolio) and a solid multivitamin (broad market exposure) are foundational. But caffeine? That’s what brings the energy. It’s not just about staying awake; it’s about firing on all cylinders. The same goes for investors riding the momentum of these mega cap growth names.

Back in the early days of the pandemic, we saw the rise of acronyms like FAANG and Fab Five, with each iteration pointing to increasing investor concentration in tech. Now, in 2025, we’re still talking about the same names, only rebranded as the Magnificent Seven. These companies didn’t just survive the last few years; they led every market rebound, every AI narrative, and nearly every earnings season since 2020.

Yes, this kind of leadership can spark concerns around bubbles or overconcentration. But like a strong espresso shot, the right amount of innovation can elevate performance. The key is knowing how much is too much and how to manage it wisely.

(See chart below for a snapshot of just how far the Magnificent Seven have surged ahead of broader indices.)

Riding the Surge: The Magnificent Seven in Focus

Since the start of the pandemic, these companies haven’t just led the charge; they’ve been the charge. From cloud infrastructure to artificial intelligence, the Magnificent Seven have powered narratives, earnings seasons, and investor returns alike.

In fact, their impact has been so outsized that many broad market indexes now reflect their performance more than they do the average American company. To illustrate just how dramatic this has been, here’s a look at how the Magnificent Seven have performed compared to the broader market:

It’s clear: since 2020, these seven stocks have significantly outpaced both the S&P 500 and the Nasdaq Composite, and by a wide margin. That kind of momentum is energizing for portfolios, but it also calls for discipline.

More Than Hype: A Personal Perspective on AI’s Real-World Impact

On the first day of class this semester, I told my students they’d be allowed to use AI responsibly. The room fell silent. Most were surprised. Many had come from courses where AI tools were outright banned.

But I don’t believe in shutting the door on a powerful new tool. I believe in teaching students how to use it well.

I shared a story with them. When I was in school, I watched the rise of Google. Some teachers refused to accept research from the internet, insisting we stick to encyclopedias and outdated library books. Their fear? That students would grow lazy, that we’d stop learning how to think critically.

But Google didn’t kill research. It transformed it.

We’re at the same kind of inflection point with AI. This isn’t a fad, it’s a shift in how work gets done. And it’s not limited to the classroom. Every industry is being reshaped, from education to logistics, medicine to marketing.

Even in financial planning, I’m seeing firsthand how AI augments my capacity. I can do more, faster, and with sharper precision.

That’s not laziness, that’s leverage.

And the companies embracing this leverage are separating themselves from the rest. The Magnificent Seven aren’t just popular because of brand power; they’re leading because they’re investing in AI infrastructure and productivity at scale.

If we think AI is just hype, we risk missing the same boat those early “no-Google” educators missed. History tends to reward those who adapt, not those who resist.

AI Is More Than Hype, It’s the Infrastructure of the Future

It’s one thing for a technology to generate headlines. It’s another to generate earnings.

Artificial intelligence has officially crossed that threshold. No longer just the territory of speculative startups or ambitious tech demos, AI is now fully embedded in the operating models of the world’s largest and most profitable companies.

At its core, AI today is functioning like a new kind of infrastructure, not unlike the internet in the early 2000s or cloud computing a decade ago. Companies like Microsoft, Amazon, Alphabet, and Nvidia aren’t just dabbling in AI. They’re building and owning the highways that every other company will soon drive on.

• Nvidia’s chips are the gold standard for training large language models.
• Microsoft’s Azure is hosting the AI models of tomorrow’s Fortune 500.
• Alphabet’s Gemini isn’t just a response to OpenAI, it’s a recalibration of the entire Google ecosystem.

This isn’t hype. It’s strategy.

From Narrative to Revenue

What makes AI different from past tech fads is how quickly it’s transitioned from concept to cash flow. While some areas (like robotics or autonomous driving) remain years from mainstream adoption, enterprise AI is already generating measurable returns.

We’re seeing AI woven into:

• Productivity tools
• Financial forecasting systems
• Cybersecurity protocols
• Customer service workflows

These aren’t moonshot projects; they’re real, revenue-generating efficiencies. And the companies at the forefront are reaping the rewards.

That’s why, despite macroeconomic volatility, the market has repeatedly rewarded firms that are doing AI, not just talking about it.

Why This Matters for Investors

For investors, the takeaway isn’t just about chasing the latest trend, it’s about recognizing foundational shifts.

In the same way the cloud has become a “must-have” in corporate IT over the past decade, AI is becoming essential across various industries.

But foundational shifts often bring froth. That’s why it’s essential to differentiate between AI exposure as innovation and AI exposure as over-concentration.

Owning companies that are executing well is one thing. Letting your entire portfolio become tethered to just a few AI darlings? That’s something else entirely. The opportunity is real. So is the need for balance.

Managing Concentration Risk While Capturing Growth

While the performance of technology giants has been impressive, it also highlights what is known as concentration risk. In this situation, a relatively small number of companies drive overall portfolio returns.

Concentration risk is the opposite of diversification and should be taken seriously. On the one hand, technology companies have demonstrated exceptional ability to generate growth. On the other hand, having a large portion of market returns dependent on a small group of companies can create volatility. Even the best companies experience challenging periods.

For long-term investors, this environment reinforces the importance of regular portfolio reviews. While it may be tempting to increase exposure to recent winners, a cornerstone of prudent investing is maintaining balance across:

• Sectors
• Company sizes
• Geographic regions

I’m here to help you navigate these opportunities and ensure your investment strategy remains aligned with your long-term financial goals.

Please don’t hesitate to reach out if you’d like to discuss how these developments might affect your specific situation.

Warm regards,
Didine M. Erskine, CFP®

Frequently Asked Questions

What are the Magnificent Seven stocks?

The Magnificent Seven is the informal name for a group of large technology companies that have led much of the market’s performance in recent years: Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, and Tesla. The label is an evolution of earlier groupings like FAANG and the Fab Five. These names are referenced for illustrative purposes only and are not a recommendation to buy, sell, or hold any security.

What is concentration risk?

Concentration risk is when a relatively small number of companies drive overall portfolio returns. It is the opposite of diversification. Even when those companies are excellent, having a large portion of returns dependent on a small group can create volatility, because even the best companies experience challenging periods.

Is diversification still important when a few tech stocks are leading?

Yes, and arguably more than ever. Strong leadership from a handful of names can energize a portfolio, but it also calls for discipline. A cornerstone of prudent long-term investing is maintaining balance across sectors, company sizes, and geographic regions, and reviewing your portfolio regularly.

Is AI just hype, or is it generating real returns?

AI has moved from concept to cash flow. Rather than living only in speculative startups or demos, it is now embedded in the operating models of many large companies, woven into productivity tools, financial forecasting, cybersecurity, and customer service. These are real, revenue-generating efficiencies rather than moonshot projects.

How should long-term investors respond to AI-driven market concentration?

The goal is to recognize foundational shifts without letting a portfolio become tethered to just a few names. That means distinguishing AI exposure as innovation from AI exposure as over-concentration, and using regular portfolio reviews to keep your strategy aligned with your long-term goals rather than chasing recent winners.

Source

1. https://www.spglobal.com/spdji/en/indices/equity/sp-500/#data

THIS MATERIAL HAS BEEN ADAPTED FROM CLEARNOMICS AND CUSTOMIZED BY THE ERSKINE GROUP, LLC FOR EDUCATIONAL PURPOSES. COMMENTARY HAS BEEN EDITED FOR CLARITY AND STYLE. ALL OPINIONS ARE THOSE OF DIDINE M. ERSKINE, CFP®, AND DO NOT NECESSARILY REFLECT THOSE OF LPL FINANCIAL. THIS INFORMATION IS NOT INTENDED TO PROVIDE SPECIFIC ADVICE OR RECOMMENDATIONS FOR ANY INDIVIDUAL. SECURITIES AND ADVISORY SERVICES OFFERED THROUGH LPL FINANCIAL, A REGISTERED INVESTMENT ADVISOR. MEMBER FINRA/SIPC.

THIS MATERIAL IS FOR GENERAL INFORMATIONAL PURPOSES ONLY AND IS NOT INTENDED TO PROVIDE SPECIFIC ADVICE OR RECOMMENDATIONS FOR ANY INDIVIDUAL. PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. ALL INVESTING INVOLVES RISK, INCLUDING THE POSSIBLE LOSS OF PRINCIPAL.

REFERENCES TO SPECIFIC SECURITIES OR SECTORS ARE FOR ILLUSTRATIVE PURPOSES ONLY AND DO NOT CONSTITUTE A RECOMMENDATION TO BUY, SELL, OR HOLD ANY PARTICULAR SECURITY OR SECTOR.

THE OPINIONS EXPRESSED HEREIN ARE THOSE OF THE AUTHOR AND DO NOT NECESSARILY REFLECT THE VIEWS OF LPL FINANCIAL. ALL DATA SOURCED FROM CLEARNOMICS UNLESS OTHERWISE NOTED. THERE IS NO GUARANTEE THAT A DIVERSIFIED PORTFOLIO WILL ENHANCE OVERALL RETURNS OR OUTPERFORM A NON-DIVERSIFIED PORTFOLIO. DIVERSIFICATION DOES NOT PROTECT AGAINST MARKET RISK.