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Distributed Tokenized RWA Market to Hit $400B by 2030: Keyrock, Securitize

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Distributed Tokenized RWA Market to Hit $400B by 2030: Keyrock, Securitize

RWA perpetuals tied to assets like gold, silver and oil, grew 40x in six months, the new report shows.

Market maker Keyrock and tokenization platform Securitize published a new report on the future of real-world asset (RWA) tokenization today, April 9. According to the research, the distributed RWA market — meaning tokenized assets that are freely transferable on-chain — is projected to grow from around $29 billion today to $400 billion by 2030 as a base case, an over 1,000% increase.

The joint report also flags perpetual futures as the fastest-growing on-chain channel for RWA exposure, already on track to dominate derivatives by 2028.

The report, titled “The $400T Future of Tokenised Assets,” covers five RWA classes — Treasuries, private credit, equities, commodities, and alternative funds — and maps the regulatory, liquidity, and infrastructure conditions needed for each to scale.

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Today, tokenized RWAs represent less than 0.1% of the $400 trillion global market that is eligible for tokenization, per the report. In the base case, Keyrock and Securitize project the broader market of blockchain-tracked RWAs, often referred to as represented RWAs, hitting $5 trillion by 2030.

Equities represent the largest notional upside, while Treasuries are positioned to lead in the near term, scoring highest in the report’s “readiness framework,” which grades asset classes across standardization, liquidity, valuation frequency, redemption speed, regulatory clarity, and on-chain demand.

Demand for RWA Perps

RWA perps, namely perpetual futures tied to commodities like oil, gold and silver, have surged in popularity in recent months, driven by broader adoption of on-chain derivatives and demand for 24/7 macro exposure. Geopolitical tensions and, more recently, an escalating war in the Middle East, have likely contributed to short-term spikes in trading activity.

The new report found that RWA perpetual volumes grew 40x in six months to $67 billion in monthly volume, even as volumes across the broader on-chain derivatives market fell by half.

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Specifically, RWA perps jumped from 0.1% to 10.1% of all on-chain derivatives volume since October 2025, the report states. At the current pace, the report projects RWA perps could account for 50% of all on-chain derivatives volume by 2028.

The engine behind that growth is largely Hyperliquid’s HIP-3 upgrade, which launched in October 2025 and enables permissionless deployment of perpetual futures markets.

Monthly equity perp volume on HIP-3 grew from $760 million in October 2025 to $20 billion by last month, per the report. Commodity perps — spanning gold, silver, copper, oil, and others — hit $40 billion in March alone. The report frames perps not as a workaround but as a crypto-native evolution of tokenization: synthetic exposure to real-world assets without the compliance overhead of direct ownership.

Treasuries vs DeFi Yield

The report also highlights yield on tokenized Treasuries, especially against the backdrop of waning DeFi yields. Per the report, tokenized T-bills have paid more than DeFi’s benchmark stablecoin lending rate on 64% of all days since mid-2024. In Q1 2026 alone, that figure reached 98% — with 3.6x lower yield volatility than DeFi lending rates over the same period.

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Keyrock and Securitize identify 2027 as the first year where regulation, market depth, liquidity infrastructure, and distribution are likely to mature simultaneously — a “convergence window” they say will concentrate growth in whichever asset classes hit all four milestones first.

The findings arrive as institutional pressure on tokenization intensifies. The IMF recently argued that tokenization represents a “structural shift in financial architecture,” while The Defiant has previously reported on how RWAs became Wall Street’s gateway to crypto in 2025 and tokenized assets’ shift from wrappers to DeFi building blocks.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

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Alibaba leads $290m investment for Shengshu Vidu AI world model

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Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

A mechanical hand is on display at the Robot Mall, world’s first embodied intelligent robot 4S store, on August 13, 2025 in Beijing, China.

Vcg | Visual China Group | Getty Images

BEIJING — Alibaba Cloud is investing in a new type of artificial intelligence designed to better replicate the real world using a different approach from chatbots such as OpenAI’s ChatGPT.

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The shift recognizes the limits of “large language models” trained primarily on text. Instead, developers are starting to focus more on “world models” built on videos and real-life physical scenarios.

To jump on the trend, Alibaba led a 2 billion yuan ($290 million) investment in ShengShu, the startup behind the AI video generation tool Vidu, the company announced Friday. TAL Education and Baidu Ventures also participated in the series B funding round.

The investment comes about two months after ShengShu raised 600 million yuan from Qiming Venture Partners and other backers. The startup declined to disclose its valuation.

ShengShu said the latest funding will support the development of a “general world model” that uses AI to bridge two currently separate domains: the digital world of games and AI-generated video, and the physical world of autonomous driving and robots.

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“ShengShu believes that a general world model, built on multimodal data such as vision, audio, and touch, more naturally captures how the physical world works than large language models,” the three-year-old startup said in a statement.

Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

“We aim to connect perception and action,” Zhu Jun, founder of ShengShu, added in a statement, allowing AI systems to better model and predict real-world behavior consistently.

ShengShu’s latest Vidu Q3 Pro model, released in January, ranks among the top 10 AI models for generating videos from text and images, according to Artificial Analysis.

The company launched Vidu globally months before OpenAI made its now-shuttered Sora tool for AI video generation widely available. Chinese short-video companies Kuaishou and ByteDance have also released similar competing AI tools for generating videos.

World model competition

Alibaba has expanded its investments in related startups.

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The Chinese tech giant and Baidu Ventures last month led a $50 million investment in Tripo AI, a platform that uses AI to quickly generate digital 3D models from photographs. Tripo said it is also moving away from techniques used by language models toward AI tools grounded in physical space and is developing its own world model.

In September, Alibaba also led a $60 million investment in PixVerse, which released an AI world model earlier this year that allows users to direct how a video unfolds while it is being generated.

Alibaba, which got its start in e-commerce, has also released free, open-source AI models for video generation and, in February, launched one for powering robots.

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Shengshu said Friday it has strategic partnerships with companies developing embodied AI — systems such as humanoid robots that interact with the physical world — for use across industrial, commercial and home settings.

World models are critical for robotics because the technology needs more than LLMs to work, Kevin Kelly, co-founder of the U.S. tech magazine Wired, wrote last month on his Substack.

Ultimately, to replicate human intelligence, AI will need three things: reasoning, an understanding of the physical world and continuous learning, Kelly said. While AI for the learning category hasn’t been developed yet, LLM-powered chatbots have created the knowledge element, he said, making world models a key area requiring a breakthrough.

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Mythos AI threat prompts Bessent, Powell to convene bank CEOs for urgent talks

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Mythos AI threat prompts Bessent, Powell to convene bank CEOs for urgent talks

Mythos’ AI scare is real — enough for U.S. regulators to call an urgent meeting and assess what Anthropic’s advanced artificial intelligence model it could mean for banks.

The meeting happened Tuesday, with Treasury Secretary Scott Bessent and Fed Chair Jerome Powell sitting down with Wall Street bank CEOs to discuss possible cybersecurity risks linked to Mythos, people familiar with the matter told Bloomberg.

Participants included chief executives from Citigroup Inc, Morgan Stanley, Bank of America Corp.’, Wells Fargo & Co.’s, and Goldman Sachs Group Inc.’s. All these are designated as systemically important, meaning disruptions to their operations could have global repercussions.

Mythos, an advanced artificial intelligence model developed by Anthropic, is designed to identify and exploit vulnerabilities in software systems when prompted. Unlike typical consumer-facing AI tools, Mythos is geared toward cybersecurity software engineering and cybersecurity tasks. Its specialty is identifying critical software vulnerabilities and bugs, but it can also assemble sophisticated exploits.

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The episode highlights a fundamental change in how regulators are framing AI risk, not merely as a technological challenge, but as a potential catalyst for systemic events.

This has already raised red flags in crypto, where experts are worried that Mythos’ capability of discovering and exploiting zero-day vulnerabilities in real-time at a low cost poses risk to the DeFi infrastructure.

Anthropic, therefore, has taken a cautious approach, releasing the product only for small group of large technology and financial firms under “Project Glasswing.”

Anthropic has previously disclosed that it consulted with U.S. officials ahead of Mythos’ release regarding both its defensive and offensive cyber capabilities. The company is also separately engaged in a legal dispute with the Pentagon, which has designated it a supply-chain risk — a classification Anthropic is contesting in court.

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CIA to Bring in AI Co-workers to Help Catch Spies

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CIA to Bring in AI Co-workers to Help Catch Spies

The US Central Intelligence Agency said it will embed “AI co-workers” directly into its analytics platforms to assist analysts with detecting spies and anticipating hostile moves by foreign adversaries.

“Within the next couple of years, we will have AI co-workers built into all of the agency’s analytic platforms — a kind of classified version of generative AI that will help our analysts with basic tasks,” CIA deputy director Michael Ellis reportedly said on Thursday during an event hosted by the Special Competitive Studies Project in Washington, DC.

According to Politico, Ellis said the AI co-workers would assist intelligence officers with drafting key judgments, testing analytical conclusions and identifying trends in intelligence that the agency gathers from abroad.

However, he said humans would continue to be the ones making the “key decisions.”

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Michael Ellis (right) speaking with Anthony Pompliano (left) about Bitcoin and AI’s role in US national security in May: Source: Anthony Pompliano

The CIA’s AI plans come amid a feud between the US Department of Defense and AI firm Anthropic. Despite having a $200 million contract with the Department of Defense, Anthropic prevented the use of its flagship AI product, Claude, for mass domestic surveillance and fully autonomous weapons.

US President Donald Trump ordered all federal agencies to immediately cease using Anthropic’s technology in March, while the Department of Defense declared Anthropic a supply chain risk.

The parties remain locked in a legal dispute over the designation, with a US appeals court on Wednesday denying Anthropic’s emergency request to temporarily pause the label.

While Ellis didn’t point out Anthropic, he said the CIA “cannot allow the whims of a single company” to constrain its capabilities.

The CIA has already adopted AI for other intelligence tasks, having tested about 300 AI projects last year to “bring new capabilities to our mission,” such as processing large data sets and language translation, Ellis said.

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Ellis also noted that the CIA recently created its first intelligence report with AI while predicting that AI’s role in the agency’s work would continue to grow.

Related: North Korean cyber spies are no longer just remote threats 

A major motivation for the CIA is to stay ahead of China, Ellis said, noting that the once-large gap between the US and China has narrowed significantly.

“Five to ten years ago, China was nowhere near America, in terms of technological innovation,” Ellis said. “That’s just not true today.”

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Ellis likes the transparency of Bitcoin, crypto

In May, Ellis said Bitcoin and crypto were matters of national security, adding that the agency looks at blockchain data to assist with its counterintelligence operations.

“It’s another area of technological competition where we need to make sure the United States is well positioned against China and other adversaries.”

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