Social media, crypto, AI, and orbital data centers converge

Social media platform X, owned by Elon Musk, announced the pre-sale of a new digital currency called Xcoin. The digital asset will be available exclusively through the platform’s newly introduced X Wallet. The company, formerly known as Twitter, is the latest tech giant to expand into digital asset storage and financial services via an integrated payment system and digital wallet designed to transform the platform into an “everything app” by linking to external brokerages for trading.  X.com will support peer-to-peer transfers, in-app balance storage, and instant cash-outs to bank accounts to enable X.com creators to receive instant payouts and manage earnings directly within the app. However, X.com will not execute trades or act as a digital asset exchange.

X Payments LLC has already secured money transmitter licenses in over 40 U.S. states and has partnered with Visa to use its “Visa Direct” infrastructure, allowing users to fund their X Wallet Accounts and move money between external banks and the X.Com ecosystem.

Ahead of the rollout of X Wallet and the anticipated 2026 SpaceX IPO, Elon Musk merged SpaceX and xAI early in February in an all-stock deal that valued the combined private entity at $1.25 trillion. This strategic consolidation brought Musk’s aerospace, satellite internet (Starlink), artificial intelligence (Grok), and social media (X.com) assets under a single corporate umbrella aimed at building space solar-powered “orbital data centers” to create a vertically integrated technology giant that aims to solve the massive energy and cooling constraints faced by terrestrial AI data centers. In late January 2026, SpaceX filed a landmark application with the Federal Communications Commission to launch and operate a constellation of up to one million satellites designed to function as solar-powered orbital data centers. This “orbital data center” system aims to provide massive AI compute capacity.

Architecting the next era of tokenization of real-world assets with AI

At the DAT Summit Hong Kong, EDENA Capital Partners — the architect of the autonomic financial OS platform designed to automate the lifecycle of sovereign and state-linked assets that is tokenizing multi-billion-dollar, illiquid real-world assets into accessible, AI-managed digital assets — announced the launch of its AI-driven master rail designed to automate the issuance, verification, and settlement of sovereign and state-linked RWA tokens.

EDENA Capital Partners uses blockchain for fractional ownership of physical RWAs and AI as the core intelligence layer to tokenize illiquid RWAs, such as energy infrastructure and national projects. AI-driven intelligence provides continuous monitoring and automated reporting, replacing manual legacy systems with a transparent, “autonomic” environment for compliance (KYC/AML), smart contract auditing, and real-time asset pricing, to ensure these digital securities remain compliant and “autonomic-ready” for global capital markets, enabling real-time flow into global liquidity pools. Through its partner Athena Dynamics, the system also incorporates AI-powered behavioral analytics to protect sovereign-scale wealth from advanced cyber threats.

Backed by Indonesia’s Ministry of Investment and strategic joint ventures, and anchored by Canton Network, Cantor8, ZKsync, Chainlink, and Athena Dynamics to provide an institutional-grade master rail for regulated digital securities, the platform enters the market with an initial over $20B portfolio of energy infrastructure, national projects, and sovereign-scale assets in a multi-continental pipeline spanning Indonesia, the Middle East, Africa, and South Korea. 

“We are witnessing the final days of manual finance. EDENA is not merely building a platform; we are architecting the sovereign-grade master rail for the next century of global capital,” said Wook Lee, Founder and CEO of EDENA Capital Partners. He continued: “With the Autonomic Financial OS, transparency is no longer a policy—it is a mathematical certainty. By unifying the world’s elite technology forces with sovereign visionaries, we are forging a real-time, high-integrity gateway for state-linked digital assets to flow into global liquidity at an unprecedented scale,” using AI technology.

Other investment firms and technology platforms that are integrating AI with real-world asset tokenization to improve efficiency, security, and asset valuation include Antier, Datavault AI, MANTRA, Tokeny, T-Rize, and Zoniqx.  

Recent studies indicate that 71% to 91% of investment management firms have already integrated or are actively planning to integrate AI into their investment process, spanning research and alpha generation. AI adoption has rapidly evolved from a niche, “quant-only” tool to a widespread industry standard, with investment managers currently using AI for investment strategy or asset-class research, with more planning to adopt it. 

Big data analysis: 

Currently, AI is primarily used to inform, rather than completely determine, investment decisions. The widest application is used to deepen and improve data analysis. Bridgewater Associates utilizes AI-based economic models and launched an AI-driven fund in 2024.

Research & idea generation: 

AI is used for processing vast datasets to identify patterns and opportunities.  World’s largest investment company BlackRock uses AI to identify investment opportunities and enhance portfolio management.

Trading processes: 

A minority of investment funds use AI for executing trades, though this is expected to grow.  At Morgan Stanley, 98% of financial advisor teams have adopted its AI assistant.

As William Quigley, a cryptocurrency and blockchain investor and co-founder of WAX and Tether (USDT), explained: 

“Undoubtedly, AI investing offers powerful tools for data analysis and emotion-free trading, but it has significant limitations, ranging from reliance on historical data to “black box” opacity.  AI cannot understand the nuances of human behavior, such as irrational fear, greed, or sentiment-driven market moves. These primary limitations involve the inability to understand context or new market regimes, regulations, high risks of data overfitting, and the potential for increased market volatility due to herding behavior.”

While AI adoption in world capital markets is high, investors view data quality and availability, integration challenges,  ethical/legal considerations, and global regulatory differences, which are implemented every day, as a significant risk. Despite this, the world financial industry is and has been moving toward “agentic” AI that can make more autonomous, high-frequency decisions.