Is the AI bubble burst? Will the 2000 tech stock crash happen again?

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3 days ago

The narrative of the AI bubble reached an unprecedented intensity in July 2026—not just discussed by financial media but also alerted by sovereign funds, central banks, legendary investors, and on-chain data simultaneously. But this is not a predictive article about whether the "AI bubble will burst." This is a hypothetical scenario exploration: if the bubble bursts, how will capital migrate? As $2-3 trillion of capital spills out from the AI narrative looking for the next destination, the RWA/tokenization track—especially in the same week that DTCC launched production-level tokenization trading—may be one of the most structurally advantaged alternative narratives. For the Hong Kong virtual asset ecosystem, this represents a potential inflection point for the narrative leadership to shift from AI to crypto/RWA—yet, this scenario requires ongoing validation rather than a certainty judgment.

1. Signal Density Has Reached Critical Mass: Why July 2026 is Different

"AI bubble" is not a new topic. Since the market exploded with ChatGPT in 2023, discussions about "the bubble is about to burst" have occurred every 3-4 months. However, what sets July 2026 apart is that warnings are coming from completely different signal sources, and they are independently verifying each other.

On-Chain Signals: Smart Money is Voting with Their Feet

On July 14, on-chain data from Hyperliquid indicated that smart money established a $13 million short position on NVDA perpetual contracts and is still continuing to increase positions (net position change +$29.2K, indicating accumulation rather than holding cash) [1]. It is important to note that $13 million is a very small amount relative to NVDA's approximately $3 trillion market capitalization—but the signal value of the on-chain perpetual contract data lies in its leverage and transparency (real-time, immutable, 24/7), not in size. In traditional markets, a similarly sized short position would need to be observed through regulatory disclosures, while on-chain data provides near-instant sentiment readings.

More noteworthy is the position structure:

  • The open interest on NVDA perpetual contracts reached $153.8 million—this is an extremely high activity level for on-chain derivatives of a single stock.
  • Long-short ratio 8:13, with shorts dominating.
  • This data appears in a critical context: Hyperliquid is a crypto-native perpetual contract platform, and the NVDA short position on it represents the collective judgment of crypto traders on AI stocks—these individuals are not traditional fund managers looking at research reports on Bloomberg Terminal, but smart money making decisions based on on-chain data.

Traditional Financial Signals: From "Discussion" to "Pricing"

Signal Source

Action

Date

Signal Strength

Michael Burry (the prototype of "The Big Short")

Shorting Nvidia and Palantir

2026

⚡⚡⚡

Norwegian Sovereign Wealth Fund ($2.2T)

Publicly modeling AI crash scenario

Q2 2026

⚡⚡⚡

Peter Thiel + Softbank

Betting on a AI sector correction

2026

⚡⚡

Paul Tudor Jones

Warning the market could crash by 35%

Q2 2026

⚡⚡

Bank of England (BoE)

Issuing a formal report warning of AI bubble risks

Q4 2025

⚡⚡

Sam Altman (OpenAI CEO)

Publicly admitting "there is a bubble in the AI field"

August 2025

⚡⚡

S&P 500 Internal Rotation

$3.2T rotating from chip stocks to Mag7

July 2026

⚡⚡

Nasdaq 100 Futures

30 consecutive days of decline

July 2026

On July 16, Yahoo Finance headlined: "A $3.2 trillion rotation from chips to the Magnificent 7 has left the S&P 500 going nowhere" [3]. This $3.2 trillion rotation is not a withdrawal from the market—but rather an internal shift from AI chips to more defensive tech giants. This is typical behavior at the tail end of a cycle.

Counterpoints (must be presented honestly)

TSMC just raised capex and full-year revenue guidance on July 16 (today), citing continued strong demand for AI chips [4]. The Japanese government is sourcing Nvidia Rubin chips to build sovereign AI infrastructure. Some analysts point out that the current AI investment is backed by real corporate revenue, unlike the "click valuation" of the dot-com era.

Our judgment: The counterpoints indicate structural reasons why the AI bubble may not burst tomorrow. But the bursting of a bubble is often not about "AI having no value," but rather about "AI's valuation not matching its revenue growth"—this is precisely what the current market is pricing. TSMC's raised guidance is a lagging signal on the supply side; the shorting on Hyperliquid is a leading signal on the demand side.

2. If the AI Bubble Bursts, Where Will the Money Go?—Three Capital Migration Paths

This is not a theoretical question. The Norwegian sovereign fund is already modeling this issue. When $2-3 trillion exits the AI sector, there are only three places for that money to go:

Path One: Defensive Cash/Government Bonds (most certain in the short term)

This is a historical template. After a bubble bursts, the first instinct of capital is always "to seek refuge"—government bonds, money market funds, gold. This has a negative impact on Bitcoin and crypto in the short term: BTC's correlation with Nasdaq remains high, and any panic selling in the AI sector will transmit through risk appetite channels to the crypto market.

Signal Support: On July 16, BTC retreated from a monthly high of $65,500 to $64,000, which CoinDesk attributed to profit-taking + the overlap effect of Iran attacking US military bases [2]. BTC's 30-day implied volatility is at 38%—historical data shows that readings below 40% of volatility often signal upcoming market turmoil [2].

Path Two: Seeking the Next "Real Revenue" Narrative (Mid-term—Core Argument of This Article)

After the dot-com bubble burst in 2000, the survivors were not the internet companies that told the best stories, but those with real income and cash flow (Amazon's e-commerce, Google's advertising). Similarly, when the AI narrative becomes fatigued, capital will seek alternative narratives supported by real income.

RWA/tokenization is currently the only track that meets the following conditions:

  • Has real underlying assets (government bonds, stocks, real estate)
  • Has verifiable income streams (revenue tiers, transaction fees)
  • Has mainstream traditional financial infrastructure coming online (DTCC launching production-level tokenization trading this week)
  • Has clear regulatory frameworks (Hong Kong SFC, Dubai VARA, Singapore MAS)
  • Has a natural bridge to traditional finance (no need to "educate the market" on what tokenization is)

Path Three: Crypto-Native Narratives (DeFi, DeAI Survivors)

If funds exit AI stocks but remain within risky assets, the crypto-native track will receive some inflows—but this is selective benefits, not a broad increase.

Beneficiaries:

  • Bitcoin (digital gold narrative)
  • Ethereum/DeFi blue chips (with real protocol income)
  • RWA tokens (ONDO, Morpho, Maple, etc.)

Losers:

  • AI agent tokens (directly related to the AI narrative, first to suffer when the bubble bursts)
  • Pure narrative-driven meme coins
  • Layer 1/Layer 2 without product-market fit

Data Validation: On July 16, the DeFi lending protocol MORPHO rose against the trend by 3.5%, testing a resistance level of $2.20—while most altcoins were falling [2]. As a decentralized lending protocol (not an AI token), its rise coincided with Galaxy launching a Morpho-based institutional stablecoin yield product for 2,400 institutional clients in Fireblocks [5]. This trend aligns with the hypothesis that "protocols backed by real income outperform narrative-driven tokens in risk adjustments," but the data from a single day isn't sufficient to draw conclusions—this is a pattern that requires ongoing validation.

3. Why is RWA/Tokenization the "Correct Next Narrative"?

Timing Coincidence is Not Coincidental: DTCC Production-Level Tokenization Trading + AI Bubble Narrative Occurring Simultaneously

On July 15, 2026—just in the same week when the AI bubble narrative was at its densest—Depository Trust & Clearing Corporation (DTCC) processed its first production-level tokenized security transaction [6].

How big of a deal is this? DTCC is the backbone of the US securities settlement system, holding over $114 trillion in securities. Every day, it records and processes ownership and settlement of stocks, bonds, and other securities. The following institutions participated in this pilot:

  • Banks: JPMorgan Chase, Goldman Sachs
  • Asset Management: BlackRock, Vanguard

Specific Transaction: JPMorgan tokenized Invesco QQQ Trust ETF → used as collateral for CME central counterparty margin → SPDR S&P 500 ETF was tokenized → government bond tokenization transaction → repurchase, collateral transfer

  • Underlying Chain: Hyperledger Besu + Canton Network
  • Timeline: DTCC plans to officially launch tokenization services in October 2026

Notably, DTCC President Frank La Salla stated: this is not about "creating new digital assets," but rather "converting existing securities into digital twins on the blockchain, retaining the same legal rights, dividend rights, and governance rights" [6]. This is completely different from the crypto-native "synthetic stock" model—this is about tokenization within the existing legal framework.

Second Signal: Cantor + Securitize Collaborating on Blockchain IPO

On July 15, Cantor Fitzgerald and Securitize announced their partnership to launch a blockchain IPO channel, creating a path for publicly listed companies to directly raise funds and issue tokenized securities on-chain [7]. Cantor has deep roots in global capital markets; Securitize is the tech standard setter for tokenized securities (the infrastructure provider for BlackRock BUIDL).

Third Signal: Alpaca Raises $135 Million—Real Capital Invested in Tokenized Equity Infrastructure

On July 16, the crypto broker Alpaca completed $135 million in financing, specifically meant for building tokenized equity infrastructure [9]. Alpaca is a licensed brokerage in the United States, with API clients covering thousands of fintech and trading platforms—this financing means that the brokerage's tokenization infrastructure is moving from "should we do it" to "funding - building - deploying" execution phase.

Previously in January, Alpaca had already allocated part of its financing from a $150 million funding round toward tokenization; this $135 million special financing further refines its roadmap. The CEO of Alpaca positioned this funding as "a new generation of trading infrastructure to compete with Interactive Brokers."

Supplemental Signal: RWA Perpetual Contract Trading Volume Reaches Record

In June, RWA perpetual contract trading volume soared to a record $311 billion; CEX spot trading volume rose for the first time in five months, increasing by 15.3% to $1.11 trillion [2]. This data indicates: RWA trading demand is not crypto-native circle self-motivating, but is supported by real market liquidity.

Why look at these signals together?

Signal

Level

Implication

DTCC Production-Level Tokenization

Settlement Level

Traditional financial infrastructure's "license seal"—not about "can we do it", but rather "when will it be fully rolled out"

Cantor + Securitize IPO Channel

Issuance Level

The entrance to the capital market is opening up—not crypto exchange listing, but a true IPO

Alpaca $135M Raising

Brokerage Level

Real capital voting—brokerages are betting on tokenized equities being the next wave of trading infrastructure

RWA Perpetual Contracts $311B

Trading Level

Demand is present, not waiting for liquidity—but liquidity is already flowing in

From Settlement → Issuance → Brokerage → Trading, all four levels simultaneously released signals intensively on July 15-16. This is not a coincidence—this represents a critical moment for RWA/tokenization tracks experiencing "infrastructure going live simultaneously." As $2-3 trillion spills out from the AI sector, is there a track that has real income support and a complete infrastructure stack to take on this capital? The answer is RWA/tokenization—and just in July 2026, this track has transitioned from "proof of concept" to "full-stack production-ready."

4. Crypto's AI Exposure: Which Assets Are Most Vulnerable in the Bubble Burst?

⚠️ The following is a structural exposure analysis and does not constitute any ratings or trading advice.

Asset Class

AI Bubble Exposure Level

Source of Resilience

AI Agent Tokens (FET, AGIX, WLD, etc.)

Extremely High

Nonecompletely reliant on the AI narrative

GPU Compute Tokens (RENDER, IO, etc.)

High

Partially have real computational demand, but valuations are highly correlated with the AI narrative

DeFAI / DeAI Middleware

Medium

If survivors post-bubble bust can prove product value, may become the next cycle leader

RWA Tokens (ONDO, MORPHO, MPL, etc.)

Low

Underlying assets are unrelated to AI, earnings come from government debt / lending

BTC

Low

Digital gold narrative is independent of AI

ETH / DeFi Blue Chips

Medium-Low

Short-term dragged down by risk appetite, mid-term may benefit if narrative rotation occurs

Key Finding: MORPHO's Rise Against the Trend is Not Coincidental

On July 16, when most altcoins followed BTC down, MORPHO rose by 3.5% [2]. MORPHO is a decentralized lending protocol whose token value is supported by actual usage and revenue of the protocol—rather than the AI narrative. At the same time, Galaxy Digital announced the launch of a Morpho-based institutional stablecoin yield product for 2,400 institutional clients on that very day [5].

The core insight of this case: When the market panics, capital does not uniformly withdraw—it reconfigures internally, shifting from high narrative, low income assets to those with real income. MORPHO is a beneficiary of this "internal rotation."

5. 🇭🇰 What Does This Mean for Hong Kong's Virtual Asset Ecosystem?

Macro Opportunity: The "Licensing Effect" of Regulatory Infrastructure

Hong Kong is not a global leader in AI. However, at the intersection of tokenization + compliant digital assets, Hong Kong has one of the most complete regulatory infrastructures in the world:

  • SFC's Virtual Asset Trading Platform Licensing Regime (VATP)
  • HKMA's Stablecoin Sandbox
  • Government green bond tokenization precedent (HKD 80 billion in 2023)
  • Project Ensemble (wCBDC + Tokenized Deposits)
  • e-HKD Pilot

In a hypothetical scenario where the market narrative shifts, Hong Kong's tokenization regulatory infrastructure may become a structural advantage to attract institutional capital—not by relaxing regulations to attract crypto-native venture capital, but through compliance guarantees to attract institutional funds withdrawing from the AI sector, seeking "regulated alternative narratives."

Competitive Landscape: Korea is Accelerating

On July 15, South Korea announced revisions to a 76-year-old law, classifying cryptocurrency as "national property," and confirming plans to pilot tokenized government bonds and explore tokenization of state-owned real estate next year [8]. This move constitutes direct competitive pressure on Hong Kong in Asia's tokenization race—especially in the RWA track, where the position of the regional leader has yet to be determined.

Insights for Hong Kong Licensed Platforms

Reference the DTCC Model: The tokenization framework of DTCC (digital twin, retaining legal rights) provides a clear RWA product design paradigm for licensed platforms in Hong Kong—tokenization within the existing legal framework, rather than creating a new asset class.

Narrative Window: DTCC plans to officially launch tokenization services in October—there is a timeline for licensed platforms to build market awareness and product readiness between now and October.

Regional Positioning: In the potential narrative rotation from AI to RWA, licensed platforms in Hong Kong have the opportunity to position themselves as "compliant RWA infrastructure" rather than "crypto exchanges."

Risk Warnings

  • AI bubble does not show significant adjustment, or adjustment sequence differs from the projected scenarios (impacting crypto first then AI)
  • Escalation of Middle Eastern geopolitical issues (Iran has already started attacking US military bases) may overshadow all market narratives
  • Regulatory arbitrage may divert capital to Dubai or Singapore instead of Hong Kong—the outcome of regional competition depends on execution speed

6. Scenario Simulation: Three-Phase Monitoring Indicators

The following is a hypothetical scenario simulation describing possible developmental pathways under different market conditions, not action recommendations.

Phase One: Bubble Pressure Accumulation Period (Current Stage)

Key Monitoring Indicators (by priority):

1. NVDA Single-Day Drop > 8%—a landmark event, may trigger narrative acceleration

2. Norwegian Sovereign Fund publicly announces reduction in AI positions—"signal > action" turning point

3. Nasdaq 100 retracts > 20% from high—confirmation of technical bear market

4. BTC/ETH uncouples from AI stocks—break in positive correlation = confirmation signal for rotation to begin

5. RWA TVL accelerates growth—evidence of actual capital inflow

6. AI tokens diverge from RWA tokens trends—quantitative indicator of internal differentiation

Phase Two: Decoupling Confirmation Period

If ≥3 of the above indicators trigger simultaneously, the following scenarios may unfold:

  • RWA/DeFi blue chips may attract liquidity withdrawing from the AI narrative first
  • Traditional financial institutions may accelerate RWA product deployment after DTCC's tokenization launch (October)
  • Compliance advantages under Hong Kong SFC framework may become evident in this phase

Phase Three: Narrative Rotation Establishment Period

If the first two phases occur sequentially, the following pattern may form:

  • Transfer of narrative leadership from AI to RWA becomes consensus in the market
  • Tokenized products from DTCC participant institutions (JPMorgan, BlackRock, etc.) enter scaling
  • Regional regulatory competition accelerates (Hong Kong/Dubai/Singapore/South Korea)

7. Risks and Uncertainties

False Alarm Risks: The AI bubble may continue for another 6-12 months. TSMC is still increasing capex, and the Japanese government is procuring Rubin chips—there is still real demand-side evidence.

  • Geopolitics Overwhelming All: The escalation of Iran-US conflicts (Iran attacked US military bases on July 16) could shift all asset class narratives to safe havens.
  • "Simultaneous Bursting" Risks: Crypto and AI may fall simultaneously rather than a rotation where one rises while the other falls—short-term correlation may be higher than expected.
  • Regulatory Implementation Risks: If DTCC's tokenization service launch in October is delayed or limited by the SEC, the RWA narrative may also be delayed.

Conclusion: Will this article still matter in 7 days?

We judge: It is important.

Not because we can accurately predict when the AI bubble bursts—no one can do that. But because the structural changes outlined in this article (DTCC tokenization launch, RWA $311 billion trading volume, AI bubble signal density) will define the direction of capital allocation for the next 12-18 months, regardless of when the bubble bursts.

Core Judgment in One Sentence: If the AI bubble sees a significant adjustment, it does not necessarily mean the end for crypto—it may, under certain conditions, accelerate the process for crypto to shift from "narrative-driven" to "revenue-driven." RWA/tokenization is currently one of the most structurally advantaged alternative narratives, but the realization of this scenario depends on the simultaneous occurrence of multiple variables (the manner in which the bubble bursts, timing window, regulatory rhythm), making it a hypothesis requiring ongoing validation rather than a certainty judgment.

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