Practical Implementation of AI + Crypto

For a long time, I have maintained a very cautious attitude towards the so-called blockchain technology combined with practical applications.

I have clearly expressed my views in my articles:

Using blockchain to trace Moutai, using blockchain to transform the XX industry, and a series of so-called applications are all, in my opinion, false demands.

In fact, I once made a metaphor in an earlier article:

The applications of the crypto ecosystem are like applications on Mars, while our current applications are on Earth. Mars and Earth are completely different ecosystems; how can two completely different ecosystems be forcibly "combined" together?

Until the emergence of artificial intelligence, more precisely, the emergence of AI Agents, I feel that these two ecosystems can now completely combine, and the bond of this combination is AI Agents.

I once introduced a case where Coinbase used the AI Agent BYTE to help users place orders for food with on-chain payments. In a recent case shared by Coinbase, BYTE not only helped users achieve stablecoin payments but also intelligently reminded users when it was time to eat based on the user data it had gathered.

In addition, the well-known overseas e-commerce platform Shopify has recently confirmed that it will cooperate with Coinbase to vigorously promote stablecoin payments, offering discounts to users who pay with USDC to attract consumers.

Moreover, traditional online and offline retail platforms like Amazon and Walmart are also rumored to be exploring the issuance of their own stablecoins.

On one side, the channels for stablecoin payments are being widely rolled out in the United States, while on the other side, the exploration of AI Agents combined with stablecoin payments is also advancing rapidly.

Based on this progress, it is entirely possible that the following scenario could emerge in the future:

When the AI Agent used by the user has enough data, it can fully outline the user's daily habits, such as understanding the user's consumption habits, reminding the user to eat three meals a day, booking transportation for the user after work, shopping directly on Shopify, Amazon, Walmart, etc.

Once the user confirms these reminders, the AI Agent directly makes payments with stablecoins on the blockchain, completely shielding the payment process and actions from the user.

Furthermore, in the future, if our income is paid in stablecoins, the stablecoins can be directly deposited into the crypto wallet managed by the AI Agent, which can then use the stablecoins in this wallet for all daily life expenses.

Perhaps in two generations, our descendants will have never heard of the act of payment, just as children born after 2010 rarely see cash today.

AI Agents completely "hide" the cumbersome details and complex technologies of stablecoins, blockchain, payments, etc., or in other words, AI Agents completely eliminate the threshold for humans to use crypto technology.

Apart from Coinbase, other American tech giants are also conducting extensive explorations in these areas; Coinbase is just temporarily ahead in this regard.

Seeing Coinbase's progress inevitably brings to mind Binance and OK. Although they are both exchanges and have developed their own wallets, after the emergence of AI Agents, there is a clear distinction in the development directions of the three.

Coinbase has clearly seized the trend of AI Agents, vigorously exploring the applications and models of AI + Crypto in real life, while Binance and OK seem to still be following the old path, focusing on trading and trading users, and do not seem to emphasize integrating AI Agents into their applications like Coinbase does.

For us, although we cannot directly experience the scenarios already realized on Coinbase, closely following the development of these applications on Coinbase is a good reference for judging the future direction of AI + Crypto.