ASI is coming and stocks know that. So, how do you make it bigger with Crypto's AI?

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The AI era is above us and you cannot ignore it. Now that the quest for AI Superintelligence has become official, how does that affect the crypto space?

AI trading is already fast and emotional. But what happens when AGI (Advanced General Intelligence) and ASI (Advanced Super Intelligence) are introduced into the trading spectrum?

This is the hypothesis. Imagine an AGI-driven trading system that tracks global systems and predicts the disruption that redeploys assets before humans realize it. Imagine adapting to your portfolio and adjusting your risk exposure based on your goals and macro landscape. It’s impressive, isn’t it?

Now, increase your scope! ASI-driven systems not only trade, they reshape the market. From retailers to sovereign wealth funds, it can model the behavior of all participants, producing millions of results across the time frame. Regulators and hedge funds rely on insights, allowing them to find invisible arbitrations and execute billions of transactions in chains.

And this is exactly what the Chinese are aiming for.

Last week, Alibaba CEO Eddie Wu, at Hangzhou’s China technology hub, illustrated the “roadmap for artificial super intelligence.”

In his keynote speech, WU specifically outlined his ambitious quest for AGI (general artificial information) and ASI (artificial super intelligence). Researchers in this field have used the term for many years, but this is the first time these terms have been officially invoked.

(Source: TradingView)

“Achieving an intelligent system with general human-level cognition — now seems inevitable. But AGI is not the end of AI’s development, it’s the beginning,” Wu said.

This is more than just a philosophical milestone. This is a change in earthquakes in how the industry operates, capital flows, and how investors allocate risk.

Morgan Stanley: AI may add 16T$16T to US stocks
According to Pandoratech News, Morgan Stanley estimates that AI can add 13-16T to the S&P 500 up to 29%, while AI impacts 90% of employment.
Complete article and analysis is here: https://t.co/bfiff5o2ni
Pandoratech – Unlock… pic.twitter.com/bduchvj0yc
– Pandoratech (@impandoratech) August 20, 2025

The US stock market in particular is responding to a surge in valuations of companies at the forefront of AI development. For example, Nvidia has become a child of AI infrastructure posters, but Microsoft and Alphabet are being re-evaluated not only as cloud providers but also as future custodians of autonomous intelligence.

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How does AI fit into stock photos?

The stock market has not forgotten the progress made in the AI space.

The cutting edge companies are now taking part in the race to build increasingly autonomous systems. And the stock market responds by pouring money on players who drive this push. Large tech companies, including Nvidia, Microsoft and Alphabet, have seen crazy profits as investors believe these companies will manage the future of their infrastructure, data and AI ecosystems.

🚀2023-2024 – AI boom.
ChatGpt + Genai turns your GPU into digital gold.
All startups, all big tech giants → Nvidia chip scramble.
Stock is vertical. $14→$400.#aigrowth $ nvda pic.twitter.com/7crwsv4bjl
– Andrew Foster (@andrewf_writes) September 28, 2025

Since October 2022, the S&P 500 has skyrocketed nearly 90%, earning 3% in September 2025 alone despite historic headwinds.

This surge is powered by large-scale capital expenditures (CAPEX) of AI infrastructure. Large tech companies are putting billions into data center construction, purchasing computer chips and training AI models. This has led to a rise in stock prices for chip makers, cloud services and software companies. (Look at you, nvidia!)

(Source: SNP500TRADINGVIEW)

At the same time, AI expectations are burned into evaluations. Almost half of the S&P 500 are concentrated on high-tech, and if AI fails to fulfill its promise, it could lead to sharp market corrections.

In the meantime, Morgan Stanley noted that Hyperschool’s free cash flow growth tested negative. Global Investment Bank forecast a 16% decline over the next 12 months.

ft ft has published the article. AI Capex is rapidly increasing with Hyperscalers. This tells us that classic late stage bubbles can break, but builds should be cheaper on AI later.
Ratings close to 30x revenue or 8x sales – these prices only make sense if all parts of the AI boom continue… pic.twitter.com/oelsjs9nej
-Rohan Paul (@Rokaul_ai) October 4, 2025

Despite these concerns, the broader market is optimistic. Investors hope that the economy will speed up and boost market action as the Fed eases its policies.

Overall, the stocks are still priced at the promise of AI Superintelligence. But the sustainability of this rally depends on its actual profitability.

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So, how do we incorporate AI into our current crypto trading scenario?

By including AI in the stock market, we have significantly changed the rules of the game. At its heart, AI leverages machine learning, natural language processing and real-time data analytics to make faster and more informed choices.

The most successful AI strategies include AI for automated trading and sentiment analysis. Portfolio optimization is another huge hit. Additionally, AI bots can run 24/7 based on predefined rules, removing emotional bias and responding instantly to market changes.

The rise of AI could destroy many careers over the next five years. I’ve just used it @zerodhaonline MCP + Claude AI Analyze my portfolio and suggest what you need to do. I was surprised at the output. This is how you do it pic.twitter.com/vtnoirmyf2
-Kirubakaran Rajendran (@kirubaakaran) July 2, 2025

However, to truly grow using AI, you need to understand both cryptography and AI. Platforms like Binance, Bybit, and Mudrex provide tools to use AI to study past price trends and track market sentiment. Additionally, these tools can help you find fraud and operations.

Detect eyectectectable!
AI and ML handle millions of transactions at scale and analyze behavior, connections, and contract patterns. This allows them to quickly flag abnormally, pause dangerous interactions, and support forensic traces.
future? Continuous innovation is… pic.twitter.com/ocvpdh8hao
– aitech (@aitechio) September 21, 2025

However, automation alone is not enough. A clear strategy is required. AI tools work best when set up with a specific purpose in mind, along with risk limiting and selecting approved assets.

Some traders use AI for high-frequency trading, meaning they do quick trading based on small price changes, while others use AI to infer market sentiment via social media and news.

Another way to grow is to use AI in distributed finance (DEFI). Projects like Fetch.ai and Virtuals allow you to set up AI bots that handle staking, farm harvesting, and liquidity management. These bots can automatically adjust their portfolios, cut fees, and even vote for governance decisions.

4/ @virtuals_io Long, Short, Farm Agent Launch: Trade, Hedging, and Virtual Make Directly
• Agents can enable conviction-based strategies in chains, allowing longing, short-circuiting or cultivating in chains.
Supports up to 3x leverage to amplify returns… https://t.co/edot29x7ax
– Longhash Venture (@longhashvc) October 7, 2025

However, you need to be careful when using AI. Smart investors use AI as a tool rather than crutches.

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Key takeout

AI Superintelligence is now a formal goal, driving major changes in technology and finance
The stock market provides significant funding to AI infrastructure, particularly through major technologies such as Nvidia and Microsoft.
AI adoption is increasing exponentially for trading, sentiment analysis and automated Defi portfolio management