Web3 technologies are about to transform the world of commerce, as is web2, has revolutionized access to information. The result will be an wide open and open digital market where all physical goods can be listed and exchanged transparently.
At the start of the Internet, the information was compartmentalized in proprietary networks. Over time, the zero marginal cost of distribution, combined with the demand of accessibility consumers, has led to the open and consultable Internet that we enjoy today.
Trade, however, was slower to evolve due to inherent complexities. Unlike information, physical assets require confidence between the parties, the ability to mediate reliable disputes and settlement mechanisms. These needs have historically been met by centralized intermediaries, which silius the electronic commerce in closed systems and owners.
But web3 technologies, powered by the blockchain, introduced a new paradigm. Intelligent contracts automatize the regulation processes, while the tokenization of physical assets creates the open public infrastructure necessary to represent property and trade. This removes the need for centralized intermediaries, allowing transactions without confidence between the parties.
Like decentralized finance (DEFI) has traditional financial systems unbundled with “LEGO” applications, decentralized business protocols will act as “trade legos” to build an open and interoperable market for goods.
AI commerce agents: decentralized trade engines
Commercial agents fed by AI are at the heart of the adoption and functionality of decentralized trade. These agents allow transparent integration, discovery and execution on decentralized protocols, transforming the way in which goods and services are negotiated on an open market and without confidence. Their capacities can be grouped into two main functions: improvement of supply and demand, and facilitating trade on platforms, which are both supported by additional features which improve decision -making and user experience .
At the heart of decentralized trade is the need to unify fragmented data. AI agents are aimed at this in obtaining and normalizing products from products from websites, markets and platforms and download it to decentralized protocols to create a unified and accessible market . Simultaneously, they analyze the intention of buyers by examining consumer behavior, research models and explicit demand signals from several platforms.
By combining the aggregation of supply and demand, these agents guarantee that buyers and sellers can find themselves effectively, reducing friction and optimizing liquidity on the market. The intelligent supply for demand further refines this process by connecting products with buyers according to price, quality, location and preferences, by automating the process to rationalize transactions.
Once the supply and demand are paired, AI agents can facilitate transactions using decentralized protocols. This includes the management of entire services, the automation of payments via smart contracts and the coordination of logistics for physical goods, ensuring transparent and trustless trade experience. In addition, these agents fill the decentralized business protocols with traditional electronic commerce platforms, allowing multiplatform interoperability.
AI agents also provide usable information by analyzing global trends, prices and consumer preferences. This market intelligence helps sellers and buyers make informed decisions, allowing competitive positioning and improving commercial strategies. By continuously adapting to changes in market dynamics, AI agents allow participants to navigate effectively in decentralized trade.
Together, these functions position the agents of AI as the driving force behind decentralized trade by promoting transparency, efficiency and liquidity in a world market. By bridging data silos, by automating transactions and improving decision -making, they create a robust base for an accessible, scalable and inclusive decentralized economy.
The symbiotic relationship between crypto and AI
The synergy between the crypto and the AI will be at the heart of the transformation of trade into a decentralized and without confidence ecosystem. Crypto needs AI to simplify its intrinsically complex systems, which makes decentralized protocols more accessible to users.
AI superimposes complex crypto user user interfaces with natural language interfaces, allowing transparent interactions. For example, instead of manually navigating blockchain wallets and smart contracts, users can simply ask an AI agent to buy an article on their behalf. The AI agent then performs the transaction by interfacing directly with the crypto protocols, abstracting the technical complexities of the user.
Conversely, AI needs crypto to provide the verifiable and deterministic execution of commercial transactions which guarantees confidence in autonomous operations. Decentralized business protocols, powered by the blockchain, offer transaction recordings to the unforeseen and transparent test. This verifiability is crucial because the agents of the AI occupy greater roles in the facilitation and automation of trade, ensuring that actions are not only effective but also provable and trustworthy.
Together, these technologies unlock the full potential of decentralized ecosystems. AI’s ability to process information and act independently, combined with crypto capacity for secure and transparent execution, creates a powerful basis for a new era of decentralized trade. This synergy will stimulate adoption, rationalize transactions and promote confidence in global markets.
The 2 phases of decentralized AI trade: attack and disruption of vampires
Initially, the decentralized AI trade will be launched by existing “vampire” platforms and markets. AI agents will scratch the data of the products and buyers of these partitioned systems, creating a parallel inventory and request pool. Transactions will then be facilitated in the decentralized trade rails, taking advantage of low costs, security and verifiability without confidence provided by intelligent contracts.
This step reflects how Airbnb disturbed Craigslist, as described by Sangeet Choudary in the book “Platform Revolution”. Airbnb initially designed the offer (room lists) and the demand (users) of Craigslist by offering an improved booking widget. This allowed Airbnb to capture and control the interactions between buyers and sellers while building its own platform.
As the decentralized business protocols mature, they will go from the supplement to the disturbance and the displacement directly from the traditional platforms. The higher efficiency, transparency and open nature of these systems – powered by AI agents – attract both buyers and sellers, reducing dependence on centralized platforms. Just as Airbnb has finally created an independent ecosystem that overshadowed Craigslist, decentralized trade will exceed and make traditional markets obsolete.
The future of trade: a universal market for things
By combining the automation of AI with decentralized confidence mechanisms, trade will no longer be limited by geography, platform restrictions or centralized guards. Instead, we will see the emergence of a truly global liquid market for all physical and digital assets – a market for the future. This transition will democratize not only access, but will also ensure that the value created in the ecosystem is distributed among the participants, rather than captured by some centralized entities.
The decentralized AI trade era has only just begun, and its potential for redesing markets parallel to the Internet transformer impact on information.
