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The social network X, owned by Elon Musk, has announced the pre-sale of a new digital currency called Xcoin. The digital asset will be available only through the newly launched X Wallet platform. The company, formerly known as Twitter, is the latest tech giant to expand into digital warehousing and financial services with an integrated payment system and digital wallet designed to turn the platform into an “app for everything” by linking with external brokerages. IX.com will support peer-to-peer transfers, in-app balance storage, and instant withdrawals to bank accounts so X.com creators can receive instant payments and manage earnings directly within the app. However, X.com will not conduct trading or act as a digital asset exchange.
Summary
- Platform convergence is accelerating: IX Wallet, Xcoin, Visa integration, and exchange links show how social media is evolving into an embedded financial infrastructure – not just distribution channels.
- AI + tokenization converges at scale: From mainstream RWA to AI-controlled digital securities, finance is shifting from manual guidance to autonomous, machine-assisted systems.
- Compute becomes strategic infrastructure: Orbital data centers, satellite networks, and AI ecosystems are integrated vertically to demonstrate the race to control power, data, and cash flow simultaneously.
IX Payments LLC has already obtained remittance licenses in more than 40 US states and has partnered with Visa to use its “Visa Direct” infrastructure, which allows users to fund their X Wallet Accounts and transfer money between foreign banks and the X.Com ecosystem.
Ahead of the release of the X Wallet and the anticipated SpaceX IPO of 2026, Elon Musk merged SpaceX and xAI in early February in a stock deal that valued the combined private company at $1.25 trillion. This strategic merger brought Musk’s aerospace, satellite internet (Starlink), artificial intelligence (Grok), and social media assets (X.com) under a single corporate umbrella aimed at creating a space for “solar data centers” to create a fully integrated technology giant that aims to cool the datatrain of A. institutions. In late January 2026, SpaceX filed a landmark application with the Federal Communications Commission to launch and operate a constellation of up to a million satellites designed to serve as solar-powered orbital data centers. This “orbital data center” plan aims to provide massive computing capacity for AI.
Designing the next era of tokenization of real-world assets with AI
At the DAT conference in Hong Kong, EDENA Capital Partners – the developer of a private finance OS platform designed to automate the life cycle of private and state-linked assets that mark billions of dollars, unattainable real-world assets, controlled by AI – announced the launch of its Asuttle, an AI-driven design, to advance its intelligence of private and state-linked RWA tokens.
EDENA Capital Partners uses blockchain for fractional ownership of physical RWAs and AI as the main intelligence layer to find illegal RWAs, such as energy infrastructure and national projects. AI-driven intelligence provides continuous monitoring and automated reporting, replacing legacy systems with a transparent, “independent” compliance environment (KYC/AML), smart contract auditing, and real-time asset pricing, to ensure that these digital securities remain compliant and “stand-alone” in real world trading markets. Through our partner Athena Dynamics, this program includes AI-powered behavioral analysis to protect high-quality assets from advanced cyber threats.
Supported by the Ministry of Investment of Indonesia and joint strategic partnerships, and strengthened by Canton Network, Cantor8, ZKsync, Chainlink, and Athena Dynamics to provide a high-quality train for the center of digital controlled security, the platform enters the market with an initial portfolio of more than $20B of energy infrastructure, national projects, and a global base, Indonesia. East, Africa and South Korea.
“We are seeing the last days of manual finance. EDENA is not just building a platform; we are building a high-quality railway for the next century of world capital,” said Wook Lee, Founder and CEO of EDENA Capital Partners. He continued: “With Autonomic Financial OS, transparency is no longer a policy—it’s a mathematical certainty. By combining the power of the world’s top technologies with independent visionaries, we are creating a real-time, high-integrity gateway for government-linked digital assets to flow into global money at an unprecedented rate,” using AI technology.
Other investment companies and technology platforms combining AI with real-world asset tokens to improve efficiency, security, and asset valuation include Antier, Datavault AI, MANTRA, Tokeny, T-Rize, and Zoniqx.
Recent research shows that 71% to 91% of investment management firms are already integrating or actively planning to integrate AI into their investment process, including research and alpha generation. AI adoption has rapidly evolved from a niche, “value only” tool to a widespread industry level, where investment managers are currently using AI for investment strategy or asset class research, with more planning to adopt.
Big data analysis:
Currently, AI is primarily used to inform, rather than completely determine, investment decisions. The most comprehensive application is used to deepen and improve data analysis. Bridgewater Associates uses AI-based economic models and is launching an AI-driven fund in 2024.
Research and generate ideas:
AI is used to process large datasets to identify patterns and opportunities. The world’s largest investment firm BlackRock uses AI to identify investment opportunities and improve portfolio management.
Trading processes:
A small number of investment funds use AI to execute trades, although this is expected to grow. At Morgan Stanley, 98% of financial advisory teams have adopted their AI assistant.
As William Quigley, cryptocurrency and blockchain investor and founder of WAX and Tether (USDT), explains:
“Undoubtedly, AI investments offer powerful tools for data analysis and emotionless trading, but there are significant limitations, from reliance on historical data to “black box” lighting. AI cannot understand the nuances of human behavior, such as irrational fear, greed, or emotional market movements. These main limitations include the inability to understand the context or new market rules, regulations, the high risk of data overuse, and the potential for increased market volatility due to herding behavior..”
Although the adoption of AI in the world’s capital markets is high, investors consider the quality and availability of data, integration challenges, ethical/legal considerations, and differences in global regulations, which are applied every day, as a major risk. In addition to this, the global financial industry has also been moving towards AI “agents” that can make autonomous, high-level decisions.
