(Image source: coinvestai)
The Co-Invest platform allows users to perform several core trading functions without leaving the AI chat environment. According to the company, users can:
The platform supports activity in more than 500 markets, including cryptocurrency trading, equities, foreign exchange products, prediction markets, and pre-IPO secondary markets.
Rather than functioning solely as a chatbot extension, the system effectively transforms AI interfaces into interactive financial terminals capable of processing trading activity through integrated market infrastructure.
Liquid stated that order execution is routed through several trading venues, including:
The company also noted that users can access positions connected to platforms such as Polymarket.
Since its launch in August 2025, the platform reportedly processed more than $3 billion in trading volume and accumulated approximately 40,000 users. These figures suggest increasing interest in AI-assisted investment systems that combine market access with conversational interfaces.
In a blog post discussing the launch, Liquid founder Franklyn Wang described artificial intelligence as a mechanism for reducing informational asymmetries within financial markets.
The argument presented by the company is that conversational AI may gradually alter how retail investors access information, evaluate opportunities, and allocate capital. Rather than requiring users to manually navigate complex trading platforms, AI systems could streamline analysis and execution into a more accessible conversational process.
This perspective reflects a growing industry narrative that AI tools may not only automate tasks, but also reshape financial decision-making structures themselves.
The launch of Co-Invest occurs alongside a broader wave of infrastructure development connecting AI systems with payment and blockchain technologies.
Recent examples include:
These systems are designed to allow AI agents to hold digital assets, initiate payments, and interact autonomously with blockchain-based services.
One notable technical development involved the addition of batch settlement capabilities to the x402 protocol, reducing the cost of high-frequency micropayments. According to Jesse Pollak, the update enables transactions valued below $0.0001 for services such as compute resources and AI inference operations.
The growing adoption of AI systems is also influencing organizational structures within the crypto sector.
Several major firms—including Kraken, Coinbase, Gemini, Crypto.com, Block, and Dune—have announced restructuring efforts or workforce reductions linked in part to expanding automation and AI deployment.
This trend indicates that AI integration is not limited to consumer-facing applications, but is also affecting operational and strategic planning across the broader digital asset industry.
The introduction of Co-Invest by Liquid highlights a broader transformation in how financial services may be accessed and operated in the future. By embedding trading functionality directly into conversational AI environments, the platform represents a shift toward more integrated and intelligence-assisted investment systems.
At a structural level, the growing combination of AI, digital payments, and blockchain infrastructure suggests that conversational interfaces could evolve into primary gateways for financial interaction. However, this transition also raises important questions surrounding automation, market transparency, decision-making oversight, and the role of human judgment within increasingly AI-mediated financial ecosystems.
