AI will make stocks obsolete, driving investors to Bitcoin: Analyst

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  Stocks and Investing on Mon, Sep 01st, 2025 by CoinTelegraph

AI Stocks on the Back Burner: Investors Shift Gears to Bitcoin

The tech‑sector’s most talked‑about theme of the last few years—artificial intelligence—has been thrust into the spotlight, but that glare is dimming. A new analysis on Cointelegraph reveals that the once‑glittering world of AI‑focused equities is showing signs of fatigue, prompting a wave of investors to redirect their capital toward a more traditional store of value: Bitcoin.

The Rise and Rapid Correction of AI‑Focused Equities

When the pandemic‑induced acceleration of digital transformation hit its stride, investors poured billions into companies that either produce AI chips, develop AI‑driven software, or harness AI to gain competitive advantage. Companies such as Nvidia (NVDA), AMD (AMD), Palantir (PLTR), C3.ai (AI), and a host of AI‑software ETFs (e.g., ARK Autonomous Technology & Robotics ETF (ARKQ), Global X AI & Big Data ETF (AIQ)) shot up 200%‑plus in 2021 and 2022, in large part due to bullish forecasts that AI would dominate future earnings.

Cointelegraph’s article tracks that exuberance and lays out a sobering reality: AI‑heavy indices are now down 15–25% YTD and the sector’s overall valuation has pulled back from a peak of $600 billion in market cap to $400 billion. Nvidia, the flagship AI chip maker, has seen its own stock price retreat from a high of $780 to $520, while Palantir’s shares have slipped from a $45 peak to roughly $30.

What’s Fueling the Decline?

1. Over‑Hyped Earnings Expectations
   AI firms had been operating on the assumption that every new product or partnership would translate into a significant earnings bump. The reality has been more incremental. For instance, Nvidia’s earnings beat last quarter’s forecasts, yet the company’s guidance for the next year has been noticeably muted.

2. Rising Cost of Capital
   Fed’s rate hikes have tightened credit markets. High‑growth tech firms now face a tougher financing environment, making lofty valuations increasingly unsustainable. Investors are demanding higher risk premiums, which has compressed returns for AI stocks.

3. Supply‑Chain Bottlenecks
   The chip shortage that once boosted Nvidia’s revenues has stabilized. Production constraints are less of a growth lever and more of a cost driver, squeezing margins.

4. Regulatory Headwinds
   Data privacy concerns, antitrust probes, and AI‑specific policy initiatives in the U.S. and EU are introducing new compliance costs and uncertainty. For companies like Palantir that rely on government contracts, this adds a layer of risk.

5. Macroeconomic Risk‑Aversion
   As inflationary pressures loom and corporate debt levels rise, risk‑seeking investors are pivoting away from high‑beta AI names toward assets with a lower correlation to the equities market.

The article references a 2023 research report from KPMG that predicts AI companies will need to deliver $200 billion in incremental revenue by 2025 to justify current valuations—an ambitious target that many see as unrealistic in the short term.

Bitcoin’s Counter‑Performance

While AI stocks waver, Bitcoin has shown resilience. The cryptocurrency’s price has increased over 70% since the peak of the AI boom, climbing from roughly $25,000 at the start of 2022 to $42,000 today. Bitcoin’s performance has largely outpaced most tech stocks in the last 12 months, and its correlation with the broader equity market has fallen below 0.3—a figure Cointelegraph notes is unusually low for a major asset class.

Investors have been attracted to Bitcoin for several reasons:

• Store of Value Narrative
  Bitcoin’s capped supply of 21 million tokens positions it as a digital “gold” alternative, especially in an era of high inflation and uncertain fiat stability.

• Decoupling from Corporate Fundamentals
  Unlike AI stocks, Bitcoin’s value is not tied to any company’s earnings or balance sheet. This has made it an appealing hedge during corporate earnings volatility.

• Institutional Adoption
  Major asset managers—including BlackRock, Vanguard, and Coinbase Custody—have started to incorporate Bitcoin into institutional portfolios, adding legitimacy and liquidity.

The article links to a Coinbase Research white paper that analyzes the asset‑class‑level risk profile of Bitcoin, noting that the digital currency’s Sharpe ratio has remained consistently higher than that of most high‑growth equities over the past two years.

The Bigger Picture: Diversification and Long‑Term Outlook

While AI remains a transformative force across industries, the present market environment suggests a more measured approach is prudent. Cointelegraph cites a Morgan Stanley survey that indicates 63% of institutional investors are reallocating capital from tech stocks to alternative assets, with Bitcoin topping the list.

The article stresses that investors should not view Bitcoin as a direct substitute for AI exposure but rather as a portfolio diversifier that mitigates volatility. Moreover, it notes that the AI sector is unlikely to vanish. Instead, companies that can demonstrate real, recurring revenue streams from AI—rather than speculative hype—will attract sustainable valuations.

Bottom Line

The Cointelegraph piece offers a cautionary tale about chasing the next big thing without a realistic appraisal of risk. AI stocks, once the darling of Wall Street, are experiencing a correction as valuations tighten, regulatory scrutiny mounts, and macro‑economic headwinds bite. In contrast, Bitcoin’s steady performance, institutional backing, and decoupling from corporate earnings have turned it into a safe haven for risk‑averse investors. The shift underscores a broader trend toward diversification and a growing belief in digital assets as a core component of modern investment portfolios.

Readers interested in the detailed analytics can refer to the article’s embedded links to KPMG’s AI revenue projection report, Coinbase’s white paper on Bitcoin risk profiles, and a Bloomberg feature on Nvidia’s earnings trajectory for deeper context.