When AI Starts Trading Crypto for You: The 2025 "Silent Revolution" in the Crypto Market and Survival Guide

This article combines the latest 2025 crypto market data with cutting-edge observations of AI technology breakthroughs, revealing a dual revolution happening right now: AI is not only redefining the fundamental logic of knowledge-based work but also reshaping the investment paradigm of cryptocurrencies. From the $22.9 billion annual inflow into Bitcoin ETFs to the rise of the agent economy powered by AI, from "code is law" to "prompt words are strategy," we are at a historic intersection of traditional finance and intelligent technology. This isn’t an abstract debate about "whether AI will replace traders," but a firsthand account from someone who has experienced it—when model capabilities undergo nonlinear leaps, and intelligent agents begin autonomously executing on-chain strategies, your crypto asset allocation scheme may already be outdated.

1. Remember January 2024

If you were paying close attention then, you might have noticed the SEC approved a spot Bitcoin ETF. But most people didn’t care. Back then, Bitcoin hovered around $40,000, Ethereum was still struggling at $2,000, and you still followed FOMC meetings, analyzed on-chain data, and manually executed trading strategies. If someone told you that a year later, AI would do most of your investment analysis, you’d probably think they were just reading too much sci-fi in some Discord group.

But in just about a year, the entire world changed completely.

By 2025, the US saw over $22.9 billion in net inflows into spot Bitcoin ETFs for the year, with BlackRock’s IBIT holding over 773,000 BTC (worth about $93 billion), and institutional funds flooding in through compliant channels. Meanwhile, the AI field experienced even more dramatic leaps: the release of GPT-5.3 Codex and Claude Opus 4.6 marked AI’s evolution from "assistive tool" to "independent executor"—it can not only write code but also autonomously test, iterate, and deploy applications.

I believe we are now in a phase of the crypto market where some might think "Is this a bit exaggerated?" and the scale of this change will far surpass the DeFi summer of 2020 or the ETF approvals of 2024.

I’ve been observing the intersection of AI and crypto for six years. I write this for those outside this industry—my family, friends, and loved ones. They keep asking me: "What’s really going on with AI and crypto?" And my answers have never truly reflected what’s happening. I’ve always given a polite, cocktail-party version. Because if I told the truth, it would sound like I’m crazy.

But now, the gap between what I’ve been saying and reality has become too big to ignore.

2. Three "Unrecognizable" Moments in the 2025 Crypto Market

Moment One: Structural Reversal of ETF Capital Flows

In early 2025, monthly net inflows into Bitcoin ETFs reached as high as $4.5 billion, with institutions viewing BTC as "digital gold" for strategic allocation. But after November 2025, capital flow reversed fundamentally—monthly outflows reached tens of billions, with January 2026 alone seeing over $3 billion in net outflows. Meanwhile, the integration of AI and blockchain moved from hype to infrastructure: the Agentic Economy became a tangible reality, and protocols like x402 enabled AI agents to trade autonomously using USDC.

Moment Two: AI from "Making Things Up" to "Independent Trading"

If you used ChatGPT in 2023 to analyze candlestick charts and thought "it’s just making stuff up" or "so-so," you weren’t wrong. Early versions indeed had limited capabilities.

But that was two years ago. In AI’s timescale, that’s almost prehistoric.

Today’s AI models are completely different from even six months ago. When OpenAI released GPT-5.3 Codex on February 5, 2025, they explicitly stated: "This is our first model to play a key role in its own creation"—AI participated in building itself[^original]. What does this mean for crypto?

It means AI agents can now:

• Autonomously analyze on-chain data, identify abnormal fund flows

• Write, test, and deploy smart contracts without human intervention

• Automatically arbitrage across DeFi protocols, executing multi-step complex strategies

• Adjust investment portfolios in real-time based on market fluctuations, at speeds far beyond human traders

Moment Three: From "Code is Law" to "Prompt Words are Strategy"

Traditional quantitative trading requires teams, infrastructure, and millions of dollars in investment. Now, an individual investor can describe a strategy in natural language, and AI can generate a working trading bot within hours. The dynamic upgrade of Bittensor’s TAO redefines it as "the Bitcoin of AI," and the chain abstraction of NEAR brings actual intent-based trading volume. Decentralized AI computing networks are testing the feasibility of hybrid AI architectures.

This is no longer incremental improvement; it’s a completely different level.

3. Why Your Trading Strategy Might Be Failing

AI labs have made a very clear choice: they prioritize making AI proficient at coding. The reason is simple—building AI itself requires a lot of code. If AI can write that code, it can help build its next generation.

Now, that step is complete. And they are shifting toward financial modeling, market prediction, and risk management.

In the past year, the feeling experienced by tech workers—seeing AI evolve from "useful tool" to "better than me at my job"—is about to become the experience of all traders. Not in ten years. Those building these systems say it’s within one to five years. Some say even sooner.

Specific scenarios:

Technical analysis: AI can now handle multi-timeframe chart recognition, sentiment analysis, on-chain indicator synthesis, approaching the level of professional analysts. A partner at a large hedge fund spends hours daily using AI for market scans; he says it’s like having a whole junior analyst team at all times.

Quantitative strategies: modeling, backtesting, parameter optimization, report generation—all AI can do, and at an accelerating pace. Complex multi-day strategy development is now largely automated.

Risk management: portfolio optimization, stress testing, black swan event simulation—AI is approaching or surpassing human risk experts in multiple areas.

Customer service and research: truly capable AI research assistants—no longer the frustrating robots from five years ago—are being deployed to handle complex multi-step research tasks.

Many still believe some things are safe: intuition, macro judgment, subtle market sentiment. I used to say that too. But now, I’m not so sure.

The latest models can make decisions that feel like "judgment," showing something akin to "taste"—an intuition about "what is the right choice." A year ago, that was unimaginable.

4. METR Data Tells You: Time Is Shorter Than You Think

There’s an organization called METR that measures AI’s autonomous capability with data. They track how long a model can complete a real-world task without human intervention (measured by the time a human expert would take).

About a year ago, that number was 10 minutes; then it became 1 hour; then a few hours. The latest measurement (November 2025, Claude Opus 4.5) shows AI can now complete tasks that would take human experts nearly 5 hours. This number doubles roughly every 7 months, and recent data suggests it might accelerate to doubling every 4 months[^original].

If you extrapolate this trend to the crypto market:

• Within a year, AI might independently monitor markets and execute strategies for days

• Within two years, AI could manage portfolios continuously for weeks, adjusting positions autonomously

• Within three years, AI could handle ongoing asset management projects for months

Dario Amodei, CEO of Anthropic, said, "AI is clearly stronger than almost all humans on nearly every task," with a timeline of 2026 or 2027[^original].

Think about that judgment. If AI is smarter than most quantitative analysts, do you really think it can’t handle most trading tasks?

5. AI Is Building the Next Generation of Crypto Infrastructure

The most important yet least understood progress is that AI is involved in its own construction and in building crypto infrastructure.

OpenAI states in their technical documentation: GPT-5.3-Codex was used to "debug its training process, manage deployment, and diagnose test results and evaluations"[^original]. In crypto, this means AI is working on:

• Optimizing consensus algorithms

• Designing more efficient zero-knowledge proof systems

• Automatically auditing smart contract vulnerabilities

• Predicting network attack vectors

One generation helps build the next, smarter generation, which then rapidly constructs the next—researchers call this an intelligence explosion. The clearest witnesses are those actively building it—they believe this process has already begun.

6. What This Means for Your Crypto Assets

I’ll be blunt because you deserve honesty, not comfort.

Dario Amodei has publicly predicted: AI will eliminate 50% of entry-level white-collar jobs within one to five years. Many industry insiders believe this estimate is already conservative. Given the capabilities of the latest models, the technological conditions for large-scale disruption could be in place by the end of this year.

This is unlike any previous market upheaval. The reason: AI isn’t replacing a specific skill; it’s a universal substitute for cognitive labor. And it’s getting stronger in all aspects simultaneously.

What you should really do:

1. Start seriously using AI tools, don’t just treat them as search engines

Subscribe to paid versions of Claude or ChatGPT—$20 per month. Make sure you’re using the most powerful models (currently GPT-5.2 or Opus 4.6). Don’t just ask scattered questions—that’s a common mistake. Instead, integrate it into your real investment work:

• Upload whitepapers and let it identify all technical flaws and tokenomics risks

• Provide it with chaotic on-chain data to model and detect anomalies

• Feed your portfolio history to analyze drawdowns and suggest optimizations

The top performers aren’t just playing with AI—they’re actively seeking opportunities and automating research that used to take hours.

2. Reconfigure your asset allocation

Based on your previous focus on gold and Bitcoin strategies, upgrade for the current environment: gold as a risk control anchor (30%-40%), Bitcoin as the core digital asset (30%-40%), but more importantly—reserve 10%-20% for infrastructure tokens related to the agent economy (like Bittensor, Render, NEAR, etc.).

This isn’t speculation; it’s a hedge against the possibility of an "intelligence explosion."

3. Manage your liquidity well

Since November 2025, Bitcoin ETF net outflows have continued, and the market has entered a high-volatility cycle. If you even partly believe that your income structure might face drastic shocks in the coming years, financial resilience is more important than a year ago. Increase stablecoin reserves, be cautious with new leverage based on "current yields are stable," and consider whether your fixed expenses give you flexibility or lock you in.

4. Think about what’s harder to replace

Long-standing on-chain reputation and trust, final decisions requiring private key signatures, compliance operations in highly regulated regions, traditional financial interfaces slowed by institutional inertia—these aren’t permanent shields, but they can buy you time. And right now, time is the most valuable asset—if you use it to adapt, not pretend everything is fine.

5. Give your kids a different education

Traditional paths—good grades, good universities, stable professional jobs—point toward roles most vulnerable to AI disruption. The most important skill for the next generation is learning to work with these tools and pursuing what they truly love. No one knows what the crypto market will look like in ten years, but those who are curious, adaptable, and skilled at using AI to do what they care about will likely do best.

6. Your dreams are closer than you think

I’ve mentioned many risks, but here’s the flip side: if you’ve always wanted to do something but lacked the skills or capital, the threshold has almost disappeared. You can describe a DeFi strategy to AI, and within an hour, have a working version; want to write a research report but stuck on data analysis? Work with AI. Want to learn smart contract development? The best mentors in the world are now available for $20/month, 24/7, with unlimited patience.

Knowledge is almost free, and creating tools has never been cheaper. Things you once thought "too hard," "too expensive," or "not my field" are now worth trying.

7. Cultivate habits of adapting to change

The specific tools aren’t that important; what matters is your ability to learn new tools quickly. AI will keep evolving rapidly. Today’s models will be outdated in a year; today’s strategies will be overturned. The most resilient are not those who master a single indicator but those who adapt to change itself.

Make a simple promise to yourself: spend one hour every day truly using AI to analyze markets. Not reading news, not scrolling through candlesticks—use it. Every day, try to make it do one new thing, one task you’re unsure it can handle. Stick with it for six months, and your understanding of the future will surpass 99% of people around you.

8. The Bigger Picture

I’ve focused on investing because it directly affects life. But the scope of this change goes far beyond that.

Imagine 2027: overnight, a new "country" emerges—50 million AI agents, each smarter than any trading master in history, thinking 10-100 times faster than humans, never sleeping, accessing all on-chain data, controlling wallets, executing trades, participating in governance.

What do you think governments will say?

If done right, the rewards are staggering: AI could compress a century of financial research into ten years. Market efficiency, inclusive finance, even wealth distribution—researchers sincerely believe these can be redefined within our lifetime.

If done wrong, the risks are equally real: unpredictable, uncontrollable AI agents; automated tools lowering the threshold for financial crimes; authoritarian governments building unbreakable on-chain surveillance systems.

Those building this technology are both the most excited and the most fearful. They believe this power is unstoppable and its importance cannot be abandoned.

9. Conclusion: The Future Is Here, It Just Hasn’t Knocked on Your Door Yet

I know this isn’t a passing trend. Technology is effective, progress is predictable, and the wealthiest institutions in human history are pouring trillions into AI.

I know the next 2-5 years will leave most crypto investors feeling lost—and that has already happened in my world. It will also come to yours.

I know that those who get ahead will be those who start now—not out of fear, but curiosity and urgency.

We’ve moved beyond just "talking about the future at the dinner table." The future is here, it just hasn’t knocked on your door yet.

But it will soon.

If these words resonate with you, please like, comment, share—spread this to those in your life who should start thinking about this too. Most people realize too late. You can be the one who gets ahead of the people you care about.

Leave your thoughts in the comments:

• Have you started using AI to assist your investments? How’s the experience?

• How soon do you think AI agents will dominate the crypto market?

• How are you planning to adjust your strategies for this transformation?

Follow this account for the latest in-depth analysis at the intersection of AI and crypto markets. This isn’t prediction; it’s a record of what’s actually happening.