Justin Sun’s AINFT, formerly known as APENFT, has come under scrutiny as the self-proclaimed “Biggest NFT Trading Platform on TRON,” averaging a mere $6.24 per day in trading volume. Despite repeated social media promotion by Sun, including multiple posts on X throughout February, the platform’s actual marketplace activity paints a starkly different picture. Analytics show that the top project over the past week generated only 156 TRX in volume, equivalent to roughly $43.68 at current prices, split across just two collections.
The contrast between AINFT’s marketing claims and its real-world performance highlights challenges facing NFT marketplaces on TRON. Once positioned as a major NFT hub, AINFT has increasingly pivoted toward artificial intelligence applications. The platform now advertises offerings such as the “BANK OF AI,” designed to facilitate AI agent interactions on TRON and BNB Chain, and “AINFT Nova,” a launch platform for AI agents and their dedicated tokens, though these remain unreleased. Additional features, including the “AINFT Agent Framework,” “AINFT AgentTX” trading tools, and “AINFT Grid” for decentralized AI model training, are also still in development.
AINFT has successfully integrated a chatbot interface that provides access to models from OpenAI, Anthropic, and Google, signaling a partial shift from pure NFT trading to broader AI experimentation. However, market confidence appears limited, reflected in a 25% decline in the AINFT token over the past year. The platform is also entwined in ongoing legal disputes, including a notable case between Sun and David Geffen over art purchases originally associated with the APENFT Foundation.
From an expert perspective, AINFT’s trajectory illustrates the difficulty of maintaining relevance in an increasingly competitive NFT space. While AI integration may present future growth opportunities, delayed launches and low trading activity raise questions about liquidity, user engagement, and overall market impact. Investors and observers will be watching closely to see if AINFT can leverage its AI pivot to revive its position, or if it will join a growing list of ambitious crypto projects struggling to translate vision into measurable success.
In the near term, the AINFT case underscores the importance of realistic marketplace performance metrics and transparent reporting for NFT platforms, particularly those backed by high-profile founders. As blockchain technology continues to intersect with AI innovation, AINFT’s evolution may provide critical lessons for the next generation of hybrid crypto projects.
