What does BSC’s future look like? CZ’s latest roadmap points to THREE key areas!

ambcryptoPublished on 2026-01-23Last updated on 2026-01-23

Abstract

In the latest roadmap, Binance founder CZ highlights three key growth areas for blockchain: Tokenization, AI agents, and payments. BSC is positioned at the forefront, with CZ citing its ability to handle $14 billion in withdrawals in a single week as proof of its payment capabilities. He also emphasized growing government interest in real-world asset (RWA) tokenization and the rise of AI-driven autonomous wallets. While BSC still trails Ethereum in total liquidity and tokenized asset value, it shows nearly 2x higher growth over a 30-day period. Stablecoin flows on BSC also grew 94% year-over-year, reflecting strong relative expansion. CZ’s vision aligns with BSC’s on-chain momentum, focusing on RWA adoption, faster transactions, and AI-powered payments to drive a fundamentals-led growth cycle.

After the latest edition of the World Economic Forum, it’s clear that L1s are positioning themselves for the next growth cycle. For crypto enthusiasts and investors alike, this means tracking where the industry is heading.

Notably, Binance founder CZ has outlined a clear roadmap. In particular, he has identified three sectors with the highest growth potential, often referred to as the “three pillars of the future” – Tokenization, AI agents, and payments.

Naturally, the question is – What does this mean for Binance Chain [BSC]? On the payments front, CZ expressed confidence, pointing to BSC’s ability to handle $14 billion in withdrawals in a single week as proof of scale.

Meanwhile, on the tokenization side, CZ highlighted growing government-led RWA momentum, noting that he has spoken to “dozens” of governments about bringing assets on-chain, putting BSC at the forefront.

At the same time, on the AI agent front, CZ also underlined the rise of autonomous wallets using crypto for payments, operating without human intervention. Together, these use cases are evidence of what CZ sees as the future of blockchain.

The question now is – Can BSC catch up and compete across these areas?

Tracking BSC’s DeFi momentum across key areas

Dominance in DeFi comes down to controlling on-chain liquidity.

That said, BSC has seen significant capital flows across these sectors. Although it still trails Ethereum [ETH] in total value of tokenized assets, it is notable that BSC posts nearly 2x the % growth over a 30-day period.

Notably, the same pattern can be seen in stablecoin flows too. ETH added about $52 billion in 2025 – A 46% YoY increase while BSC added $8.6 billion. This marked a 94% jump – Reflecting a smaller base but stronger relative growth.

In short, BSC still has a long way to go to match ETH’s total liquidity. However, its % growth is also indicative of increasing adoption. In turn, this is a sign that it is gaining traction in the broader DeFi and tokenization landscape.

Against this setup, CZ’s roadmap, driving RWA momentum, faster transactions, and AI-led payments, lines up neatly with BSC’s on-chain liquidity, highlighting its potential to capture growth across these areas.

This will position BSC on track for a fundamentals-led growth cycle.

Final Thoughts

  • Despite trailing Ethereum in total liquidity, BSC has been posting nearly 2x growth in tokenized assets.
  • Focused on RWA, faster transactions, and AI-powered payments, CZ’s roadmap positions Binance for a fundamentals-driven growth cycle.

Related Questions

QWhat are the three key areas of growth potential identified by CZ in his latest roadmap?

AThe three key areas of growth potential identified by CZ are Tokenization, AI agents, and payments.

QWhat evidence did CZ provide to show BSC's capability in the payments sector?

ACZ pointed to BSC's ability to handle $14 billion in withdrawals in a single week as proof of its scale and capability in payments.

QHow does BSC's growth in tokenized assets compare to Ethereum's over a 30-day period?

ABSC posts nearly 2x the percentage growth in tokenized assets compared to Ethereum over a 30-day period, though it still trails in total value.

QWhat was the Year-over-Year (YoY) growth in stablecoin flows for BSC in 2025?

ABSC's stablecoin flows saw a 94% Year-over-Year increase in 2025, adding $8.6 billion.

QAccording to the article, what will CZ's roadmap position BSC for?

ACZ's roadmap, focused on RWA, faster transactions, and AI-powered payments, will position BSC for a fundamentals-driven growth cycle.

Related Reads

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit2m ago

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit2m ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit12m ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit12m ago

Zcash Bug Could Have Minted Unlimited ZEC Undetected

A critical vulnerability in Zcash's Orchard shielded pool, discovered by researcher Taylor Hornby on May 29, 2026, could have allowed an attacker to create an unlimited amount of undetectable counterfeit ZEC. The flaw, involving an under-constrained element in the Orchard circuit, existed from the pool's 2022 activation until an emergency fix was deployed by June 2, 2026. Hornby identified the bug using AI-assisted auditing tools and confirmed its exploitability in a test environment. Due to Orchard's privacy features, which hide transaction amounts and history, there is no cryptographic way to prove whether the vulnerability was exploited before the fix. While Shielded Labs assesses prior exploitation as unlikely, this uncertainty has sparked a debate on proving supply integrity in privacy-preserving systems. In response, Shielded Labs and other developers are exploring a network upgrade, potentially involving a new shielded pool and formal verification of the circuit rules to prevent future vulnerabilities and allow verification of the ZEC supply's integrity. ZEC's price fell nearly 45% following the disclosure.

bitcoinist21m ago

Zcash Bug Could Have Minted Unlimited ZEC Undetected

bitcoinist21m ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1h ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1h ago

Token Inefficient, Economy Tokenless

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片

Top Questions

Hot Categoriesright-arrow

Hot Tagsright-arrow