Brazilian stock exchange to launch tokenization platform and stablecoin

cointelegraph2025-12-18 tarihinde yayınlandı2025-12-18 tarihinde güncellendi

Özet

Brazil's primary stock exchange, B3, announced plans to launch a tokenization platform for traditional assets and its own stablecoin for settlements, starting in 2026. The initiative aims to create a seamless transition between traditional and digital markets by ensuring asset fungibility and shared liquidity. This move follows recent regulatory changes by Brazil’s central bank, which classifies stablecoin transactions as foreign-exchange operations. Additionally, B3 plans to introduce weekly options for Bitcoin, Ether, and Solana, as well as event contracts. The exchange has previously offered cryptocurrency exposure through ETFs earlier than the US market.

Brazilian stock exchange B3 announced a move deepening its ties to digital assets through the launch of a tokenization platform and stablecoin for settlements, starting in 2026.

In a Tuesday notice to investors, B3’s vice president of products and clients, Luiz Masagão, said the exchange plans to launch a tokenization platform for traditional assets, starting with stock market offerings. He added that B3 would also issue its own stablecoin as “a tool to enable trading in tokens."

“The great value of having this tokenization platform connected to the traditional ecosystem is that assets are fungible,” said Masagão. “The token buyer won’t know they’re buying from a traditional stock seller. This allows for a smooth transition, with both benefiting from the same liquidity.”

The announcement came about a month after Brazil’s central bank said it would classify stablecoin transactions as part of foreign-exchange operations for crypto companies. It’s unclear how the policy change, expected to take effect in February, could apply to stock exchanges like B3.

Related: Solana enters Brazil’s main exchange as Valour expands regulated crypto access

The tokenization and stablecoin plan was just one part of the exchange’s agenda on digital assets. Masagão said that B3 planned to launch weekly options for Bitcoin (BTC), Ether (ETH) and Solana (SOL), as well as event contracts, such as those offered by prediction platforms Kalshi and Polymarket.

Brazilian market beat the US on crypto ETFs

As the sole significant stock exchange in Brazil, B3 also offered investors exposure to cryptocurrencies through exchange-traded funds earlier than the US, where regulators approved ETFs tied to Bitcoin futures in 2021 and spot Bitcoin ETFs in January 2024. Thirteen ETFs with crypto exposure were listed on B3 starting in 2021, and the exchange included a spot XRP (XRP) fund in February.

Magazine: When privacy and AML laws conflict: Crypto projects’ impossible choice

İlgili Sorular

QWhat is the Brazilian stock exchange B3 planning to launch in 2026?

AB3 is planning to launch a tokenization platform for traditional assets and its own stablecoin for settlements.

QAccording to the vice president, what is the key benefit of connecting the tokenization platform to the traditional ecosystem?

AThe key benefit is that assets become fungible, allowing for a smooth transition where both token buyers and traditional stock sellers benefit from the same liquidity without the buyer knowing the source.

QHow did Brazil's central bank recently classify stablecoin transactions, and when is this expected to take effect?

ABrazil's central bank classified stablecoin transactions as part of foreign-exchange operations for crypto companies, and this policy change is expected to take effect in February.

QBesides the tokenization platform and stablecoin, what other digital asset products did B3 announce?

AB3 also announced plans to launch weekly options for Bitcoin (BTC), Ether (ETH), and Solana (SOL), as well as event contracts similar to those offered by prediction platforms like Kalshi and Polymarket.

QHow did Brazil's B3 exchange compare to the US in terms of offering cryptocurrency exposure through ETFs?

AB3 offered cryptocurrency exposure through ETFs earlier than the US, listing thirteen crypto-related ETFs starting in 2021, including a spot XRP fund in February, while the US approved Bitcoin futures ETFs in 2021 and spot Bitcoin ETFs in January 2024.

İlgili Okumalar

GSR Launches Multi-Asset Crypto ETF With Staking Yields

GSR, an institutional crypto trading platform, has launched its first crypto exchange-traded fund, the Crypto Core3 ETF (BESO), which began trading on Nasdaq. The fund provides exposure to Bitcoin, Ethereum, and Solana and offers staking yields, along with a dynamic allocation strategy to maximize returns. On its first trading day, BESO saw approximately $4.8 million in activity. The ETF charges a 1% management fee and will rebalance its allocations weekly based on research-driven signals. GSR, founded by ex-Goldman Sachs traders, aims to reach more investors through this entry into the crypto ETF market, which has seen growing interest from major financial firms like Morgan Stanley and Goldman Sachs.

TheNewsCrypto30 dk önce

GSR Launches Multi-Asset Crypto ETF With Staking Yields

TheNewsCrypto30 dk önce

Yao Shunyu's 88 Days

Yao Shunyu, a 27-year-old AI expert with a background from Princeton and OpenAI, joined Tencent in September 2025. Within 88 days, he led a major overhaul of Tencent’s AI strategy and organization, resulting in the release of Hunyuan Hy3 preview—a MoE model with 295B total parameters and 21B active parameters, supporting up to 256K context length. The launch came after Tencent leadership, including CEO Ma Huateng and President Martin Lau, openly criticized Hunyuan's earlier underperformance—citing slow development, over-reliance on superficial benchmark optimization, and poor generalization in real-world applications. Internal adoption was low, with key business units like WeChat and gaming seeking external AI solutions. Yao reshaped Tencent’s AI approach by integrating previously siloed teams, dissolving the ten-year-old Tencent AI Lab, and establishing new units focused on AI infrastructure and data. Hy3 preview was developed using co-design principles, closely aligned with product teams to ensure practical usability from the start. It has already been integrated into core products like Yuanbao, QQ, and enterprise tools. The release signals a shift from chasing rankings to building usable, scalable AI grounded in Tencent’s ecosystem. While external partnerships (like with DeepSeek and OpenClaw) helped retain users temporarily, the focus is now on making Hunyuan a reliable internal foundation. The real test lies in sustaining this new organizational momentum amid fierce competition from Alibaba, DeepSeek, and others.

marsbit54 dk önce

marsbit54 dk önce

a16z: How Blockchain Fills the Gaps in AI Agent Identity, Payments, and Trust?

AI Agents are rapidly evolving from tools into autonomous economic participants, but they lack standardized ways to prove identity, authorization, and payment across environments. Blockchain infrastructure addresses these gaps by providing portable identities via wallets, programmable payments through stablecoins, and auditable transaction records on public ledgers. Key challenges include the absence of a universal identity layer (like "KYA" – Know Your Agent) for non-human entities, governance risks when AI systems control critical resources, and the need for trustless payment systems for agent-to-agent commerce. Emerging solutions include on-chain agent registries, encrypted credentials, and crypto-native toolkits that enable delegated authority and verifiable execution. Stablecoins and embedded payment protocols (e.g., x402) are enabling a new class of "headless merchants" where agents transact without human intervention. Trust shifts from manual oversight to cryptographic verification, as scalability demands automated accountability. Ultimately, blockchain allows agents to operate as permissionless economic actors while preserving user control through programmable constraints and transparent governance.

marsbit1 saat önce

a16z: How Blockchain Fills the Gaps in AI Agent Identity, Payments, and Trust?

marsbit1 saat önce

Exploring Physical World AGI with "Visual Reasoning", ElorianAI Raises $55 Million

ElorianAI, co-founded by ex-Google AI expert Andrew Dai and former AI specialist Yinfei Yang, has raised $55 million in early funding to develop next-generation AI systems with advanced visual reasoning capabilities. While current large models excel in text-based tasks like programming and math, they perform poorly in visual reasoning—even top models like Gemini only match a 3-year-old’s ability in basic visual benchmarks. The key limitation lies in the architecture of current vision-language models (VLMs), which first convert visual inputs into text before reasoning, losing critical spatial and structural information. ElorianAI aims to build a native multimodal model that processes and reasons directly in visual space, enabling deeper understanding of physical relationships, constraints, and environments. The company plans to release a state-of-the-art visual reasoning model by 2026, with potential applications in robotics, disaster management, engineering, healthcare, and AI hardware. By using high-quality, diverse, and synthetically generated data, ElorianAI intends to create models that don’t just perceive but truly understand and reason about the physical world—bringing us closer to visual AGI.

marsbit1 saat önce

Exploring Physical World AGI with "Visual Reasoning", ElorianAI Raises $55 Million

marsbit1 saat önce

This Time, OpenAI Eliminated 90% of Human Designers

OpenAI's latest release, GPT-Image 2, marks a paradigm shift in AI-generated imagery, moving beyond aesthetic quality to logical reasoning and contextual understanding. The model introduces a "thinking mode," where it performs background reasoning—such as mathematical calculations and geographic knowledge—before generating images. This enables highly accurate and context-aware outputs, like a livestream overlay showing precise distance metrics or a brand-aligned poster design. The model excels in rendering Chinese text with remarkable accuracy and aesthetic quality, a significant improvement over previous versions. It supports multi-turn conversational editing via the new Responses API, allowing iterative refinements similar to chatting with a large language model. While GPT-Image 2 demonstrates unprecedented capabilities in commercial applications like marketing material and illustration—potentially displacing many human designers due to its cost efficiency—it still has limitations. Minor artifacts in fine text details persist, and complex prompts can cause extended processing times. Additionally, the technology raises ethical concerns around deepfakes and digital trust. Overall, GPT-Image 2 transitions AI image generation from a novelty to a powerful production-ready tool, redefining industry standards and pushing the boundary of what’s possible in visual AI.

marsbit2 saat önce

This Time, OpenAI Eliminated 90% of Human Designers

marsbit2 saat önce

İşlemler

Spot

Futures