AI Bubble Explained in 10 Points: Are We Heading for a Market Crash?

AI Bubble Explained in 10 Points: Are We Heading for a Market Crash?

Artificial Intelligence (AI) has captured the world's imagination and investors’ wallets like never before. With projected global spending on AI surpassing $1.5 trillion in 2025, many believe this investment is easily justified by AI’s promise to increase global productivity by at least 10%. But beneath this optimistic surface, are we witnessing the buildup of an “AI bubble” that could soon burst, bringing with it a wave of risks for global and Indian investors alike?

                             

Let’s break down what’s happening, how history offers eerie parallels, and most importantly—how you can protect yourself.

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1. What is Circular Financing in AI?

Companies like NVIDIA and OpenAI are engaging in complex financial transactions where money essentially circulates between them, inflating both sales and valuations without creating real, organic demand. For example, NVIDIA invests in OpenAI, which then immediately spends those funds on NVIDIA’s own chips—pushing up both companies’ reported growth and stock prices while masking the true source of those figures.

2. The AMD Entry and ‘Warrant’ Trick

Rival chipmaker AMD entered the fray by giving OpenAI warrants—an option to buy AMD shares for next to nothing if OpenAI met certain criteria. This strategy created the illusion of huge investments and demand, despite little actual cash flow and potentially artificially boosting AMD’s market value.

3. CoreWeave: The Supporting Player

CoreWeave, another major AI infrastructure player, further exemplifies this trend. It builds its business around NVIDIA-powered data centers, and both NVIDIA and OpenAI are heavily intertwined as investors, clients, and partners. Such cross-ownership leads to inflated sales and potentially misleading market valuations.

4. Fake Demand from Geopolitics

Geopolitical maneuvers, especially U.S. restrictions on chip exports to China, have sparked workarounds involving cloud service middlemen. Companies like Dutch-based Nivs act as intermediaries, making inflated demand look bigger on paper—even as the actual chip supply to China remains steady.

5. Special Purpose Vehicles (SPVs): Hidden Debt, Hidden Risk

Tech giants are now using SPVs—shell companies set up to take massive, off-balance-sheet loans to buy AI chips and infrastructure. For example, Elon Musk’s XAI used SPV financing to secretly borrow billions without hurting its parent company’s balance sheet. These risky maneuvers can make company finances seem healthier than they are.

6. The Problem with SPVs: Depreciating Assets

The main asset backing these SPVs—the GPU—is rapidly depreciating. Rental rates for GPUs are already down 75% in just one year, yet debt remains high. If companies default, a cascade of financial stress could hit not just tech, but pension funds, insurance firms, and more.

7. Bubble Parallels: 2000 Dot Com & 2008 Crash

Like the 2008 subprime crisis (with home loans) and the 2000 Dot Com bubble (when anything “.com” skyrocketed in value), AI is now seeing companies attach themselves to the hype—sometimes with little real connection to artificial intelligence. When expectations fail to match reality, these bubbles tend to burst, but the underlying technology endures and grows stronger in the long run.

8. The Smart Players: Apple and Google

Amid the frenzy, Apple and Google are playing a different game. Apple integrates AI at the device level, minimizing infrastructure and debt. Google leverages its own AI hardware (TPUs), strong user base, and organic revenue. These two giants show that there’s a grounded, sustainable way to adopt AI without amplifying risk.

9. When Could the Bubble Burst?

Market cycles suggest we may see a crash by 2028. Previous cycles were delayed by one-off events (like the 2020 pandemic), but current economic signals and historic trends point to mounting risk as leverage and financial engineering reach unsustainable highs.

10. How Can Investors Protect Themselves?

• Have an emergency fund ready.

• Allocate 30–50% of new investments to debt instruments (FDs, debt funds, government bonds) until 2028.

• Learn to hedge: master basics of derivatives (Futures & Options) or invest in inverse ETFs if you’re exposed to U.S. markets.

• Knowledge of risk management and portfolio hedging will be your best protection in the coming years.

Final Thoughts

AI will remain vital to our future, but the current wave of financial engineering and speculative investment is likely to end in a market correction. Billionaires may escape unscathed, but everyday investors must stay informed, cautious, and ready to adapt.