Leaving the Crypto World for AI: Is It Really a Clear-Headed Choice?

marsbitPubblicato 2025-12-24Pubblicato ultima volta 2025-12-24

Introduzione

The author observes a growing trend of people exiting the Web3 space to fully commit to AI, but argues against this binary choice. Instead, the piece advocates for finding synergies between AI and Crypto, identifying AI × Crypto as an underestimated, foundational sector. Examples include AI agents, on-chain data, decentralized computing, AI payments, and stablecoins. The article refutes the notion that the crypto industry is dead, citing historical cycles like the post-2018 ICO crash followed by the 2020 DeFi Summer. It highlights irreversible trends such as stock tokenization by Nasdaq, blockchain exploration by SWIFT, and stablecoins capturing ~15% of cross-border payments. While emphasizing that learning AI is essential to avoid obsolescence, the author cautions against viewing it as a guaranteed path to wealth. AI is a tool that lowers startup barriers but raises the bar for success, potentially accelerating wealth concentration in centralized companies. The piece notes the monumental returns of AI stocks like NVIDIA (200-300x in 10 years) and early private investments, but points out that such opportunities are largely inaccessible to retail investors. For them, early-stage opportunities remain more viable in Web3. The conclusion recommends continuing to learn both Web3 and AI in 2026, researching AI stocks, and focusing on the intersection of AI and Crypto. The key is not to abandon crypto but to upgrade one's cognitive framework.

Original Author: DeFi Teddy, Founder of Biteye

Recently, I've clearly noticed a trend:

More and more friends around me are liquidating their Web3 holdings and going all in on AI.

I don't entirely agree. Here's my brief take.

Conclusion first: It's not about choosing sides, but finding the intersection.

Crypto & AI: Not an Either-Or Choice

AI and Web3 are not conflicting; instead, they are converging.

I myself am learning Vibe Coding and leading a team in an AI startup, while continuously researching new opportunities in Web3.

What's truly underestimated is:

The "enlightenment-level track" of AI × Crypto.

Agent, on-chain data, decentralized computing power, AI payments, stablecoins......

Leaving now might mean missing out on the early stages.

Is the Crypto World Really Over? History Has Already Given the Answer

The "crypto is dead" slogan has been cried wolf many times, for example:

After the 2018 ICO crash and global regulation, many left, thinking the industry was dead.

But in 2020, DeFi Summer emerged,

and Wall Street and regulators began truly embracing crypto.

Although BTC is under pressure now, the trend of traditional finance being revolutionized by blockchain is already irreversible:

- Nasdaq is advancing stock tokenization,

- SWIFT is exploring blockchain solutions,

- Stablecoins already account for about 15% of cross-border payments.

AI Must Be Learned, But Don't Mythologize It

Not learning AI will inevitably lead to being left behind.

But AI itself is not a money printer; it's just a tool.

AI lowers the barrier to entrepreneurship,

but also raises the bar for success.

Just like the mass entrepreneurship wave in 2015:

Super individuals will definitely emerge,

but the vast majority will just be more efficient workers or small business owners.

The reality is harsh and must be recognized: AI will accelerate wealth inequality because the biggest beneficiaries are centralized companies.

AI Stocks Must Be Watched

Deepseek data:

NVIDIA has risen 200–300 times in 10 years,

comparable only to Bitcoin's 300 times and Ethereum's 1200 times.

A domestic example: the previously hot Moore Threads. Early investor Peixian Qianyao achieved an investment myth of 6000 times returns and 12 billion in paper gains. However, such opportunities are inaccessible to ordinary retail investors. For the average person, early investment opportunities are still more accessible in web3.

Summary:

In 2026, continue learning Web3 + AI, while researching AI stocks, with a focus on the intersection opportunities of AI × Crypto.

It's not about fleeing the crypto world, but about upgrading your cognition. What do you all think?

Crypto di tendenza

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Domande pertinenti

QAccording to the author, what is the relationship between AI and Web3?

AThe author believes that AI and Web3 are not in conflict but are instead converging. He argues that the truly undervalued area is the 'enlightenment-level track' of AI x Crypto, which includes opportunities in Agent, on-chain data, decentralized computing power, AI payments, and stablecoins.

QWhat historical evidence does the author provide to counter the claim that 'the crypto circle is dead'?

AThe author cites the ICO crash and global regulation in 2018, after which many people left, believing the industry was dead. However, DeFi Summer emerged in 2020, and traditional finance began embracing cryptocurrency. He also points to ongoing trends like Nasdaq advancing stock tokenization, SWIFT exploring blockchain solutions, and stablecoins accounting for about 15% of cross-border payments.

QWhat is the author's view on the impact of AI on wealth distribution?

AThe author states that AI will accelerate the wealth gap because the biggest beneficiaries are centralized companies. While AI lowers the barrier to entry for entrepreneurship, it also raises the threshold for success, potentially leaving most people as more efficient workers or small individual businesses rather than achieving significant success.

QWhat investment example does the author use to illustrate high returns, and what point does he make about accessibility for ordinary investors?

AThe author mentions that Nvidia's stock rose 200-300 times over 10 years, comparable to Bitcoin's 300x and Ethereum's 1200x. He also cites the example of Moore Threads in China, where early investors achieved a 6000x return. However, he notes that such opportunities are not accessible to ordinary retail investors and suggests that Web3 offers more friendly early investment opportunities for the average person.

QWhat is the author's final recommendation for 2026 regarding Web3 and AI?

AThe author's final recommendation is to continue learning about both Web3 and AI, research AI stocks, and focus particularly on the intersection opportunities of AI x Crypto. He emphasizes that this is not about fleeing the crypto circle but about upgrading one's cognitive understanding and perspective.

Letture associate

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

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In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

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Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

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Breaking! OpenAI's Next-Gen AI Solves 10 Fields Medal-Level Problems

OpenAI's next-generation AI model Astra achieves breakthroughs in 10 long-standing mathematical conjectures. The results, including constructing the first known infinite, finitely presented non-sofic group—resolving a major question since 1999—and advancing the high-dimensional sphere packing problem beyond a 46-year-old barrier, are detailed in a 249-page paper. Key proofs have been formally verified using Lean 4. The AI also refuted a rigidity conjecture by Fields Medalist Alain Connes. According to OpenAI, generating these proofs cost under $2,000. Experts describe the findings as potentially Fields Medal-worthy and a landmark moment for both mathematics and AI, showcasing the model's ability to produce profound, human-like reasoning across diverse fields like group theory, geometry, and operator algebras.

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How to Make Yourself Irreplaceable by AI Forever

This article argues that the primary threat from AI is not job replacement, but remaining trapped in "wage slavery"—financial dependence on employers. The path to becoming irreplaceable is not resisting AI, but becoming an "unemployable" individual who builds their own meaningful enterprise. The author identifies five key elements for this: Agency (acting without permission), Taste (judging what's worthwhile), Persuasion, Persistence, and Iteration. The solution is to stop being a "pawn" in someone else's game. To start, you must fundamentally change your identity and environment, then engage in rapid, real-world trial and error. While both coding and creating media (content) are powerful, content is more crucial. AI can generate assets, but true value lies in subjective, human-driven content that builds trust and narrative. The actionable advice is to carve out 15 minutes to answer foundational questions: 1) Uncover your "raw material"—what you know deeply or solve effortlessly. 2) Define your contrarian perspective—what common beliefs you think are wrong. The intersection of these answers is your direction. Finally, you must launch by publishing your first core idea immediately, using the feedback to iterate and develop the skills needed for a self-directed life and career.

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How to Make Yourself Irreplaceable by AI Forever

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Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

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