June 5, 2026—Curve founder Michael Egorov published a statement directly addressing the widespread pessimism currently surrounding the crypto industry. He emphasized that the pressure on crypto assets doesn’t stem from deteriorating fundamentals, but rather from a temporary shift in capital preferences—AI stocks have become the dominant theme in today’s market. This perspective aligns closely with several recent independent market studies.
In its early 2026 analysis, Wintermute observed that although global liquidity is expanding and major central banks have entered an easing cycle, new capital hasn’t flowed significantly into the crypto market. Instead, it’s pouring into equities, particularly AI-related sectors. This shift in institutional allocation has placed persistent short-term pressure on crypto asset prices.
Egorov’s central thesis is that the crypto industry’s current challenges are due to "capital rotation," not "structural decline." Capital rotation is a normal, cyclical phenomenon in financial markets and doesn’t imply that assets losing favor have lost their long-term value. To determine whether the crypto industry is truly in decline, it’s important to distinguish between short-term capital flows and the pace of underlying infrastructure development.
What Does Institutional Adoption Data Reveal About Crypto Fundamentals?
Egorov highlighted a fact often overlooked amid market sentiment: institutions are adopting infrastructure that eliminates cumbersome intermediaries, and from a fundamental standpoint, the crypto industry is in a stronger position than ever. This assessment should be evaluated against the timeline of institutional adoption.
According to Curve’s own data, the protocol’s average TVL increased from approximately $2.86 billion in 2025 to about $3.05 billion, with annual trading volume rising from roughly $119 billion to $126 billion. More importantly, structural shifts are evident in usage patterns: lending-related transaction volume jumped from 234,000 to over 421,000, and total protocol interactions doubled from 11.8 million to more than 25.2 million. These figures show that Curve, as foundational DeFi infrastructure, is seeing growth in both usage frequency and functional depth—not just passive TVL accumulation.
At a broader industry level, several research firms pointed to similar trends in early 2026. Stablecoins are no longer just units of account for the crypto market—they’re increasingly discussed as a settlement layer for global payments. RWA (Real-World Asset) tokenization has moved beyond pilot projects, becoming composable financial tools within DeFi. These shifts aren’t products of short-term speculation, but long-cycle signals of financial infrastructure evolution.
Will the AI Industry Face Its Own "Valley of Death"?
When comparing AI and crypto, Egorov introduced a key concept—the "valley of death." He noted that while AI is a foundational technology, it too will experience its own "valley of death," a phase crypto passed through several years ago.
The logic here is that every emerging technology undergoes a transitional period where hype gives way to reality. Egorov further explained from a systems perspective that replacing humans with AI leads to AI outputs feeding AI inputs, resulting in declining quality and exponentially rising maintenance costs. Even the companies driving AI’s ubiquity may not use it effectively, potentially reporting inflated expenses.
Market data since Q3 2025 shows a clear divergence in capital flows between crypto and AI equities. By the end of May 2026, US spot Bitcoin ETFs saw sustained net outflows—about $2.43 billion in May alone. During the same period, capital allocation to AI and semiconductor stocks continued to rise. Egorov’s view urges market participants to consider a possibility often overlooked: the crypto market has already endured its "valley of death," while the AI sector may not have fully traversed this stage yet.
What Is the Fundamental Relationship Between Crypto Technology and AI?
To understand the relationship between crypto and AI, it’s essential to clarify their technical attributes and functional boundaries. Egorov stressed that both are foundational technologies, but they’re not the same—and fundamentally, they aren’t competitors.
Crypto technology addresses the core issues of value ownership, transfer, and recordkeeping—enabling value confirmation and movement without needing to trust third parties. AI tackles information processing, generation, and decision-making—extracting patterns from vast data, aiding judgment, or automating tasks. Each operates at different layers of the financial system: crypto provides the settlement and security layer, while AI optimizes the decision and efficiency layer. They are complementary, not substitutes.
This distinction helps reframe the popular "crypto vs AI" narrative. Positioning them as adversaries confuses two distinct dimensions of technological innovation. The evolution of the financial system requires both reliable value transfer infrastructure and efficient information processing—these technologies complement each other.
What Drives Capital Flow from Crypto to AI?
The shift in capital allocation has its own internal logic. Wintermute’s report notes that funds are moving to AI and equities because these sectors offer clearer near-term profit expectations and visible development pipelines. At the corporate level, NVIDIA’s Q4 2025 revenue hit $81.62 billion, up 85.2% year-over-year, alongside an $80 billion stock buyback plan. These quantifiable cash flows are naturally attractive in a volatile macro environment.
Meanwhile, the crypto market faces narrowing capital inflow channels. By late May 2026, US spot Bitcoin ETFs saw nine consecutive trading days of net outflows totaling about $2.8 billion—the longest such stretch since the product launched in January 2024. Digital asset investment products recorded around $1.47 billion in net outflows for the week ending May 26, 2026.
However, capital rotation isn’t a one-way street. The current flow toward AI is driven largely by the pursuit of visible short-term profits. When AI valuations reach a certain threshold, or when crypto infrastructure development triggers new breakout applications, structural conditions for capital to return will gradually mature.
How Is Crypto’s Role as Financial Infrastructure Validated?
Egorov repeatedly emphasized a core assertion: "Crypto is the future of finance." Validating this claim requires evaluating the key attributes of financial infrastructure—reliability, accessibility, and interoperability.
On reliability, Curve’s crvUSD stablecoin system and lending mechanisms have operated for years, weathering multiple episodes of extreme market volatility and liquidity shocks. In 2025, Curve’s share of Ethereum DEX fees grew from 1.6% at the start of the year to 44% in December—a 27.5-fold increase. This growth reflects Curve’s evolution as shared infrastructure for stablecoin liquidity, lending, and emerging use cases, not reliance on a single product.
In terms of accessibility, crypto finance delivers truly permissionless services. Anyone with a crypto wallet, regardless of jurisdiction, can access liquidity and lending markets at any time—no need to wait for bank hours or pass KYC checks. This feature is irreplaceable for cross-border payments, unbanked populations, and emergency liquidity scenarios.
For interoperability, crypto infrastructure is forging closer connections with traditional finance. At the end of 2025, Curve launched FXSwap, bringing the foreign exchange market on-chain, with pilot markets for the Swiss franc, Brazilian real, and Indonesian rupiah. While still in early validation, this direction signals a long-term trend: crypto infrastructure will bridge traditional financial assets and digital finance—not replace them.
What Do Curve Founder’s Remarks Mean for Market Expectations?
Curve’s founder’s public statement carries two layers of signaling. First, from an industry perspective: core builders in crypto aren’t passively waiting for a market rebound—they’re actively strengthening foundational infrastructure. Egorov has repeatedly argued that DeFi must abandon token inflation and issuance-driven growth, shifting toward sustainable models backed by real income. Between August 2025 and February 2026, total DeFi TVL fell about 38%, from roughly $158 billion to $98 billion. This decline reflects the waning of "growth by heavy subsidies," not the disappearance of crypto infrastructure’s value.
Second, it’s a signal for recalibrating market expectations. When attention is fixated on short-term price swings and capital flows, Egorov’s remarks remind participants to assess crypto’s trajectory over longer timeframes. The value of financial infrastructure shouldn’t be measured solely by short-term capital flows—especially when it hasn’t yet seen widespread adoption by the real economy.
The current capital pressure on crypto is real, but it mostly reflects shifting short-term preferences, not structural damage to industry fundamentals. Curve’s founder offers an internal anchor for judgment: even when sentiment turns pessimistic, builders continue advancing the frontier of infrastructure.
Conclusion
The current bearish sentiment in the crypto market isn’t due to deteriorating fundamentals, but results from short-term capital rotation toward AI stocks with clear profit expectations. Egorov makes it clear: crypto isn’t a "toy"—it’s providing self-sovereign, always-on financial rails for every user. AI and crypto are both foundational technologies, but they aren’t in competition.
Curve’s protocol data shows growing lending activity, trading volume, and interaction frequency, with institutional adoption of infrastructure continuing apace. AI stocks are absorbing much of the new capital, but the AI sector itself will face its own "valley of death." The crypto industry has already endured and moved past this stage, and its role as financial infrastructure is being validated through stablecoin payments, RWA tokenization, and on-chain FX applications. Capital rotation is a normal feature of financial markets—it alters short-term allocations, not the long-term value of underlying infrastructure.
FAQ
Q1: What does Egorov mean by the "valley of death"?
The "valley of death" refers to the stage where an emerging technology transitions from peak hype to real-world application, with expectations being corrected. The crypto industry went through this in 2022–2023, weeding out many projects lacking genuine use cases. Egorov believes the AI industry will face a similar process, with additional challenges like declining output quality and exponentially rising operational costs.
Q2: How did Curve perform operationally in 2025?
According to Curve’s official annual review, the protocol’s average TVL grew from about $2.86 billion to $3.05 billion in 2025, with total trading volume rising from roughly $119 billion to $126 billion. Lending transaction volume jumped from 234,000 to over 421,000, and total protocol interactions increased from 11.8 million to more than 25.2 million.
Q3: How long will the trend of capital flowing from crypto to AI last?
The duration of capital rotation depends on AI sector valuations, new breakout applications in crypto, and changes in the macro liquidity environment. Wintermute and others believe that once capital rotation in AI stabilizes, crypto assets may regain investor attention.
Q4: In what ways does crypto serve as "financial infrastructure"?
Mainly in three areas: unstoppable 24/7 operation (not dependent on bank hours or intermediaries), permissionless self-sovereign financial services (accessible to any user directly), and connectivity to the real economy (via stablecoin payments, RWA tokenization, and on-chain FX).
Q5: What are the sources for asset price data cited in the article?
All crypto asset price data referenced here are sourced from Gate market data, as of June 5, 2026, with prices denominated in USD. NVDA stock price is based on public market data, with the June 5, 2026 trading price at $218.66 USD.
