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

marsbitPublicado a 2025-12-24Actualizado a 2025-12-24

Resumen

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?

Preguntas relacionadas

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.

Lecturas Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 9 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 9 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 11 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 11 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 11 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 11 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar CC

¡Bienvenido a HTX.com! Hemos hecho que comprar CC(Canton) (CC) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar CC(Canton) (CC) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu CC(Canton) (CC)Después de comprar tu CC(Canton) (CC), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear CC(Canton) (CC)Tradear fácilmente con CC(Canton) (CC) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

158 Vistas totalesPublicado en 2026.04.21Actualizado en 2026.04.21

Cómo comprar CC

Cómo comprar BLEND

¡Bienvenido a HTX.com! Hemos hecho que comprar Fluent (BLEND) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Fluent (BLEND) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Fluent (BLEND)Después de comprar tu Fluent (BLEND), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Fluent (BLEND)Tradear fácilmente con Fluent (BLEND) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

161 Vistas totalesPublicado en 2026.04.24Actualizado en 2026.04.24

Cómo comprar BLEND

Cómo comprar ACN

¡Bienvenido a HTX.com! Hemos hecho que comprar AITECH CLOUD NETWORK (ACN) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar AITECH CLOUD NETWORK (ACN) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu AITECH CLOUD NETWORK (ACN)Después de comprar tu AITECH CLOUD NETWORK (ACN), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear AITECH CLOUD NETWORK (ACN)Tradear fácilmente con AITECH CLOUD NETWORK (ACN) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

91 Vistas totalesPublicado en 2026.04.28Actualizado en 2026.04.28

Cómo comprar ACN

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de A (A).

活动图片