You Should Still Believe in Crypto

marsbitPublished on 2025-12-13Last updated on 2025-12-13

Abstract

The article "You Should Still Believe in Crypto" addresses the growing sense of burnout and disillusionment within the cryptocurrency industry, sparked by a post from Aevo co-founder Ken Chan titled "I Wasted 8 Years of My Life in Crypto." It acknowledges the collective fatigue many feel due to the industry's fast-paced, often speculative nature, where narratives shift rapidly, and projects frequently fail or disappear. However, the piece argues that the core value of crypto remains vital. It references Nic Carter’s response, highlighting crypto’s potential to create a more robust monetary system, encode business logic via smart contracts, establish true digital property rights, improve capital market efficiency, and enhance global financial inclusion. The article revisits Bitcoin’s origin as a peer-to-peer electronic cash system born from the 2008 financial crisis, emphasizing its purpose as a trustless, decentralized alternative to traditional finance. It points to real-world adoption in high-inflation countries like Argentina and Turkey, where Bitcoin and stablecoins serve as essential financial tools, and notes increasing institutional embrace from firms like BlackRock and Fidelity. Finally, it draws a parallel to the early internet era, arguing that despite chaos, failed projects, and speculative excess, the crypto industry—like the internet—is laying foundational groundwork for future technological and financial evolution. The conclusion is a call to persevere,...

Author: BlockBeats

If you've been in the crypto industry for the past few years, you must have felt that growing sense of "burnout."

Last weekend, the lengthy post by Aevo co-founder Ken Chan undoubtedly struck a chord with many. He used an extreme title—"I Wasted 8 Years of My Life in the Crypto Industry."

This isn't just one person's state; it's the collective exhaustion of the industry. Ken wrote the truth many dare not admit: in the crypto industry, it's really easy to lose your sense of time.

It's Not All Unfounded

You might have stayed up late for airdrops, watched the charts for listings, chased narratives by buying high and selling low, researched a new protocol all night, or participated in countless hours of unpaid labor for community governance. From romantic libertarianism, to on-chain autonomy experiments, to today's runaway frenzy of memes, perpetuals, and gambling-themed tracks—all of this is enough to make one wonder: are we really participating in a technological revolution, or are we just working for an infinitely greedy casino?

Practitioners' doubts are not because they are not steadfast enough, but because of the crypto industry's own brutal structure: narrative life cycles are shorter than product life cycles; hype outweighs fundamentals; speculation moves far faster than building; hero worship coexists with collective suspicion; the end for many projects is not failure, but disappearance.

We must be honest: Ken's feelings are something many have experienced. And these doubts are not unfounded.

The weight of the question, "What are we really坚持ing for?" might be far heavier than "Will the price of Bitcoin go up?"

So when we say "we believe in crypto," what exactly are we believing in? Are we believing in project teams? No. Are we believing in some celebrity KOL? Of course not. Are we believing in一个个 narratives? That's even less likely.

Many suddenly realize: the one thing they have truly believed in all along likely boils down to this: what we are still坚持ing and believing in is the meaning of crypto for this world.

Therefore, shortly after Ken's article went viral, Nic Carter, co-founder of Castle Island Ventures, wrote another response article—"I Don't Regret Spending Eight Years in Crypto."

What is the meaning of crypto for this world? Nic Carter gave his five points: making the monetary system sounder, encoding business logic with smart contracts, making digital property rights real, improving capital market efficiency, and expanding global financial inclusion.

Don't Forget Why We Started

Whenever the industry falls into chaos, perhaps we can reread the Bitcoin whitepaper.

A Peer-to-Peer Electronic Cash System—that's the first sentence of the whitepaper.

2008, financial crisis, banks failing, Lehman Brothers collapsing. Financiers and politicians made the whole world pay for their risks and mistakes.

Bitcoin was born not to create wealth, but to answer a question: "Can we build a monetary system that does not rely on any centralized institution?"

For the first time in history, humanity possessed a currency that required trust in no one. It is the world's only truly不属于 any country, company, or individual's financial system. You can criticize ETH, criticize Solana, criticize all L2s, criticize all DEXs, but few criticize Bitcoin, because its original intention has never changed.

Any Web2 company can close your account tomorrow; but no one can stop you from sending a Bitcoin tomorrow. There will always be people who dislike it, distrust it, even attack it, but no one can change it.

Water does not contend, yet it benefits all things.

Global inflation normalization, soaring sovereign debt, asset scarcity after long-term declining risk-free rates, financial repression, lack of privacy... The existence of these problems means the vision of the crypto industry is not outdated but more urgent. As Nic Carter said: "I have never seen a technology that can push capital market infrastructure upgrades more than crypto."

Why This Is Not a Failed Industry

Ken said he wasted eight years. But did we really waste our青春?

In countries with hyperinflation like Argentina, Turkey, and Venezuela, BTC and stablecoins have become the de facto "shadow financial system"; hundreds of millions of people unable to access the banking system have owned global digital assets for the first time; humanity possesses a globally accessible asset it can truly control for the first time; international payments no longer need banks for the first time; billions of people can access the same financial system for the first time; financial infrastructure begins to脱离 national borders; an asset not reliant on violence and power begins to be recognized globally...

For a country with high inflation, a stable, non-depreciating currency is like a Noah's Ark, which is why stablecoins account for 61.8% of crypto trading volume in Argentina. For freelancers with overseas business, digital nomads, and the wealthy class, USDT is their digital dollar.

Compared to hiding dollars under the mattress or risking black market currency exchange, clicking a mouse to convert pesos into USDT seems more elegant and safe.

Whether it's cash transaction by a street vendor or a USDT transfer by the elite, it is essentially a distrust of national credit and a protection of private property. In a country with high taxes, low welfare, and constantly depreciating currency, every "grey transaction" is a反抗 against institutional plunder.

For a hundred years, the Rose Palace in Buenos Aires has changed hands batch after batch, and the peso has been废弃了一张又一张. But the common people, relying on underground transactions and grey wisdom, have硬是 found a way out in a dead end.

Almost all of the world's top 20 funds have established Web3 departments; TradFi institutions continue to pour in (BlackRock, Fidelity, CME); national digital currency systems use Bitcoin as a reference; digital asset ETFs across the US are刷新 new records for capital inflows; in just 15 years, Bitcoin has jumped into the top ten global assets...

Even with bubbles, speculation, chaos, and scams, some facts have already occurred. These changes have somewhat tangibly changed the world. And we are standing in an industry that will continue to change the global financial structure.

Have We Really Left Nothing Behind?

Many will still ask: "If 15 years from now, all these chains are gone, projects are gone, protocols are replaced by more advanced infrastructure. Then what we are doing now, isn't it still wasting our青春?"

Look at another industry: the 2000 internet bubble burst, NASDAQ plummeted 78%; in 1995 Amazon was called "a website selling books"; in 1998 Google was considered "not as good as Yahoo"; in 2006 social networks were seen as "teenage rebellion."

The early internet was full of: thousands of dead startups; completely vanished innovations;大量 investments lost; tens of thousands of people thought they had wasted their青春.

Early BBS, portals, dial-up internet, paid email—almost none exist today, 90% of the first-generation mobile internet products did not survive. But they were by no means a "waste"; they constituted the soil for the mobile era.

The infrastructure they created: browsers, TCP/IP, early servers, compilers,它们成就了: Facebook, Google, Apple, the entire foundation of mobile internet, cloud computing, and AI. The history of social networks is a constantly破碎 cycle, just as TikTok today is built upon countless dead social networks.

Each generation replaces the previous one, but no generation is in vain.

No industry's journey is clean, linear, clear, correct, or has clear answers. All foundational tech industries experience chaos, bubbles, trial and error, misunderstanding, until they change the world.

The crypto industry is the same.

The technological revolution of the crypto industry has never been accomplished by a single generation. Everything we do, even if ETH is replaced by other chains in the future, L2s are rewritten by new architectures, the DEXs we use today all disappear, will absolutely not be in vain.

Because we provide the foundational soil, the trial and error, the parameters, the social experiments, the path dependence, the experience and samples absorbed by the future. Not the final outcome itself.

Moreover, you are not alone in坚持ing.

Around the world, there are still millions of developers, researchers, fund managers, node operators, builders, and traders pushing this era slowly forward. We are with you.

——Written for those who remain on this path.

Related Questions

QWhat is the core reason for the author's belief in the crypto industry despite widespread fatigue and skepticism?

AThe author believes in the fundamental value and transformative potential of crypto for the world, such as creating a more robust monetary system, enabling smart contracts for business logic, making digital property rights real, improving capital market efficiency, and expanding global financial inclusion, rather than in specific projects, influencers, or narratives.

QAccording to the article, what was the original purpose of Bitcoin's creation as stated in its whitepaper?

ABitcoin was created to establish a peer-to-peer electronic cash system that does not rely on any centralized institutions, in response to the 2008 financial crisis, aiming to answer the question: 'Can we build a monetary system that does not depend on any centralized institution?'

QHow does the article argue that the crypto industry has already made a tangible impact on the global financial system?

AThe article points out that crypto has become a 'shadow financial system' in high-inflation countries like Argentina and Turkey, provided billions of unbanked people with access to global digital assets, enabled international payments without banks, and attracted major traditional financial institutions like BlackRock and Fidelity, with Bitcoin now ranking among the top ten global financial assets.

QWhat comparison does the article draw between the crypto industry and the early internet era?

AThe article compares the crypto industry to the early internet era, noting that both experienced chaos, bubbles, failed projects, and skepticism, but early internet's 'waste'—like BBS, portals, and dial-up—formed the foundational soil for future advancements like Facebook, Google, and AI, suggesting that crypto's current experiments and failures are similarly paving the way for future financial infrastructure.

QWhy does the author assert that efforts in the crypto industry are not in vain, even if current technologies and projects become obsolete?

AThe author argues that the crypto industry's contributions provide foundational soil, experimentation, parameters, social experiments, and path dependencies that will be absorbed as experience and samples for future advancements, meaning that even if current chains, protocols, or DEXs disappear, they are not wasted but part of a necessary iterative process in technological revolution.

Related Reads

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

Following the withdrawal of Aave and a sharp drop in its Total Value Locked (TVL), the valuation of the high-performance DeFi blockchain MegaETH faces scrutiny. Once a highly anticipated project with a fully diluted valuation (FDV) reaching around $2 billion, MegaETH saw its TVL plummet from a May peak of $245 million to just over $30 million in July, a roughly 70% decline. Its native token, MEGA, currently trades around $0.048 with a market cap of approximately $54 million and an FDV of about $480 million. The report identifies a core vulnerability: MegaETH's TVL was heavily dependent on a single protocol, Aave V3, which at its peak contributed around 90% of the chain's TVL. A significant portion of this capital is attributed to leveraged yield-farming strategies involving stablecoins like USDe. When the profitability of these strategies diminished, capital rapidly exited, exposing the lack of diversified, sustainable activity. Three key mismatches between MegaETH's valuation and its fundamentals are highlighted: 1. **Valuation vs. Real Usage:** With an FDV of ~$4.8B but only ~$1M in annualized protocol revenue and ~2,600 daily active addresses, the valuation appears disconnected from current economic activity. 2. **Token Narrative vs. Ecosystem Reality:** Despite its DeFi narrative, nearly 80% of the chain's recent protocol revenue comes from a trading card game, Monster, not from core DeFi applications like Aave. The chain's native stablecoin, USDM, also shows low trading volume and a declining market cap. 3. **Short-Term Hype vs. Long-Term Delivery:** Initial hype from token generation, blue-chip integrations, and influencer support has faded. Major protocols like Uniswap now hold minimal TVL on the chain, indicating that early capital was largely transient and driven by incentives rather than organic demand. The situation reflects a broader market trend where investors are becoming less tolerant of valuations based on inflated TVL and narrative, demanding clearer evidence of sustainable transactions, revenue, and ecosystem development. While MEGA's price may experience short-term rebounds from market sentiment, a fundamental re-rating likely depends on the team's ability to convert its remaining resources into tangible, user-retaining applications and genuine ecosystem growth.

链捕手1h ago

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

链捕手1h ago

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: China's AI Models at an Inflection Point China's open-source/open-weight large language models (LLMs) have reached performance parity with top global proprietary models, according to a Goldman Sachs report. This is driven by architectural innovations and higher parameter efficiency, allowing Chinese models to achieve comparable capabilities at 2%-10% the parameter size and significantly lower cost. The market is evolving into a two-tiered structure: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with premium pricing and a low-end, price-sensitive segment for global SMEs and individual users. Key points: * **Cost & Performance:** Innovations like Mixture of Experts (MoE) enable high performance with smaller models. Projects like Meituan's LongCat 2.0, trained on domestic hardware, highlight progress in tech self-sufficiency. * **Open-Source Strategy:** Most Chinese players use open-source/open-weight models for flexibility and ecosystem growth. However, Goldman notes this may underreport actual deployment and revenue. A shift toward "open-weight + community license" models with revenue sharing (e.g., MiniMax) could improve monetization. * **Market Shift & Global Expansion:** Enterprise AI adoption is shifting from "token maximization" to "ROI-first." International expansion, especially in non-US markets, is a major growth driver. Chinese models are increasingly available on global platforms like AWS Bedrock and Microsoft Copilot. * **Competitive Landscape:** Using a framework based on pricing power, cost advantage, and financial strength, Goldman identifies **Zhipu AI and DeepSeek** as the strongest in foundational text models, and **ByteDance** as the leader in multimodal/video generation. The report maintains Buy ratings on MiniMax and Kuaishou. * **Market Growth:** China's AI model API and subscription revenue is projected to grow from an estimated ¥35 billion in 2026 to ¥879 billion by 2030.

marsbit1h ago

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

marsbit1h ago

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry? China's AI large model sector is at a historic inflection point. Goldman Sachs argues that the intelligence of Chinese open-source/open-weight models is approaching top global proprietary models. Rapid adoption by domestic enterprises and global SMEs is creating a data flywheel effect that will further drive model iteration. The evolution is summarized as moving from "DeepSeek's cost-efficiency moment last year to GLM's model-intelligence moment this year." Chinese models achieve near-state-of-the-art performance at significantly lower cost, primarily due to architectural innovations like Mixture of Experts (MoE) and higher parameter efficiency. Models like DeepSeek V4 Pro (1.6T params), GLM5.2 (0.7T), and MiniMax M3 (0.4T) are much smaller than global leaders. Recent advancements in coding capability are attributed to better data curation and RLHF. Landmarks like Meituan's LongCat 2.0, trained fully on domestic AI chips, demonstrate progress in hardware stack independence. The market is forming a "two-tiered structure." The high-end tier (e.g., GLM5.2, Alibaba's Qwen3.7 Max) prices around $1 per million tokens, about 10-25% of US top models, with estimated inference gross margins of 10-20%. The low-end tier (priced as low as $0.06-$0.2 per million tokens) targets price-sensitive global SMEs and individuals. MiniMax derives 60-70% of revenue overseas. Goldman forecasts China's AI model API/subscription revenue to grow from an estimated RMB 35bn in 2026 to RMB 879bn by 2030. Most Chinese players adopt open-source/open-weight strategies for deployment flexibility and community feedback, though this limits monetization as deployments on third-party platforms (e.g., Alibaba Cloud) may not generate direct revenue. A shift towards "open-weight + community license" models with revenue-sharing agreements (like MiniMax's approach) could improve unit economics. International expansion, particularly in non-US markets, is the key growth driver. The global enterprise AI paradigm is shifting from "token maximization" to "ROI prioritization." Chinese models are already hosted on major global platforms like AWS Bedrock and are under consideration for integration into Microsoft Copilot. Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman identifies the strongest players: In foundational text models, Zhipu AI (initiated coverage) and DeepSeek lead. In multimodal/video generation, ByteDance's Seed is the frontrunner, with Kuaishou's Kling and MiniMax's Hailuo also well-positioned. Goldman maintains a Buy rating on MiniMax, citing its attractive valuation.

链捕手1h ago

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

链捕手1h ago

Trading

Spot
活动图片