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The AI Frenzy: Is This Just Another Bubble, ESG or Not?

  • Nishadil
  • November 23, 2025
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  • 4 minutes read
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The AI Frenzy: Is This Just Another Bubble, ESG or Not?

There’s a palpable buzz in the air, isn’t there? Artificial intelligence, or AI, has truly captured the imagination of the market, propelling certain stocks to dizzying heights. It feels like we're standing at the cusp of a new technological revolution, with companies promising transformative power and unimaginable growth. From processing vast datasets to automating complex tasks, the potential of AI seems boundless, and investors are, understandably, eager to get in on the ground floor, or perhaps, the penthouse suite, of this exciting new era.

But let's pause for a moment, shall we? Amidst all this understandable enthusiasm, a nagging question surfaces for many seasoned observers: Are we witnessing genuine, sustainable growth, or are we simply riding the crest of yet another speculative wave? History, unfortunately, is littered with examples of groundbreaking technologies that, while truly revolutionary in the long run, first fueled unsustainable market bubbles. Think of the dot-com era, for instance. The internet was transformative, but the initial valuations of many internet companies were wildly detached from reality, leading to a rather painful reckoning.

Now, here's where things get particularly interesting, and perhaps, a touch concerning. In today’s investment landscape, Environmental, Social, and Governance (ESG) principles have taken center stage. Investors are increasingly keen to put their money into companies that not only promise financial returns but also align with their ethical values. And, naturally, many AI companies are quick to highlight their ESG credentials – perhaps they're optimizing energy use, fostering diversity, or developing AI for social good. It's a powerful narrative, one that can lend a certain moral weight and perceived stability to an investment.

However, it's crucial to understand a fundamental truth: ESG considerations, as important as they are, do not magically inoculate a company against the cold, hard realities of valuation. When a stock's price surges far beyond what its current or even foreseeable earnings can justify, a bubble is forming. And when that bubble eventually bursts – as most do, sooner or later – even the most pristine ESG scores won't provide a protective shield for investors. It's a hard lesson, but one that market cycles teach us repeatedly.

Indeed, many AI-related stocks currently trade at astronomical multiples, often based more on future promises and speculative potential than on robust, tangible profitability today. While innovation is undoubtedly valuable, a price that discounts decades of perfect execution and exponential growth far into the future might be asking a bit much. The risk, then, isn't that AI itself is a bad technology; quite the opposite. The risk lies in the market's tendency to overreact, to pull future value into the present at an unsustainable pace.

So, what's an investor to do? While ignoring AI’s potential would be foolhardy, a healthy dose of skepticism and caution is absolutely paramount. It means looking beyond the dazzling headlines and marketing narratives. It means scrutinizing balance sheets, understanding competitive landscapes, and perhaps most importantly, assessing valuations with a clear, objective eye. Relying solely on the ESG halo, or the sheer excitement of AI, as a justification for sky-high prices could prove to be a costly misstep down the line.

Ultimately, the market has a way of correcting itself, sometimes gently, sometimes with a jolt. And when that happens, those who've chased momentum without regard for fundamentals, even under the banner of ethical investing, might find themselves exposed. The message is clear: Invest in AI for its genuine promise and solid fundamentals, not just the hype or the perceived ethical immunity. Your portfolio will thank you.

Disclaimer: This article was generated in part using artificial intelligence and may contain errors or omissions. The content is provided for informational purposes only and does not constitute professional advice. We makes no representations or warranties regarding its accuracy, completeness, or reliability. Readers are advised to verify the information independently before relying on