Bitpush Daily News Digest: Morgan Stanley Plans to Launch Crypto Wallet in Second Half of 2026; Trump Says He Has Decided on Fed Chair Nominee; Arthur Hayes: BTC Will Reach $1 Million; New York Times: Trump Says No Plans to Pardon SBF

比推Published on 2026-01-09Last updated on 2026-01-09

Abstract

Morgan Stanley plans to launch a digital wallet by the second half of 2026 to support tokenized assets, following its recent ETF filings for BTC, ETH, and SOL. Former President Trump stated he has decided on his nominee for the next Federal Reserve Chair but has not disclosed the name. BitMEX co-founder Arthur Hayes predicts BTC will reach $1 million. Trump also confirmed he has no plans to pardon the imprisoned former FTX CEO, Sam Bankman-Fried. Meanwhile, the CFTC has approved Bitnomial to launch prediction markets for digital assets and macroeconomic indicators in the U.S., joining other platforms like Polymarket and Gemini. Analysts, including those from Charles Schwab, suggest Bitcoin may continue trading sideways until broader institutional adoption, potentially driven by future regulatory developments, takes hold.

Bitpush editor's daily selection of Web3 news:

【Morgan Stanley Plans to Launch Digital Wallet in Second Half of 2026】

Bitpush News, according to Barron's, Morgan Stanley plans to launch a crypto wallet in the second half of 2026 to support tokenized assets. Earlier this week, the investment bank filed registration statements for its ETFs based on BTC, ETH, and SOL.

Jed Finn, Head of Morgan Stanley Wealth Management, told Barron's: "This really signals an impending change in how financial services infrastructure operates. Over time, as our infrastructure evolves, we will be better able to integrate the traditional finance (TradFi) and decentralized finance (DeFi) ecosystems."

In September last year, Morgan Stanley participated in Zerohash's $104 million Series D-2 funding round. This partnership will enable the E-Trade platform to trade BTC, ETH, and SOL, with Zerohash expected to launch the service in the first half of 2026.

【Trump Says He Has Decided on Federal Reserve Chair Nominee】

Bitpush News, US President Donald Trump, in an interview with The New York Times, stated that he has decided whom to nominate as the next Federal Reserve Chair but did not reveal the choice. "I have a decision in my mind," he said, "but I haven't spoken to anyone about it yet." When asked about his chief economic advisor, Hassett, Trump said "I don't want to say," but called Hassett "absolutely one of the people I like."

Whoever Trump chooses, the next Fed Chair will take over an institution at a critical juncture, caught in the center of an unprecedented and intense pressure campaign by the President to significantly lower interest rates. Prediction market Kalshi currently shows Kevin Warsh has a 41% probability of becoming Fed Chair, Kevin Hassett 39%, and Christopher Waller 12%.

【Arthur Hayes: BTC Will Reach $1 Million】

Bitpush News, BitMEX co-founder Arthur Hayes stated on platform X that the price of BTC will reach $1 million.

【New York Times: Trump Says No Plans to Pardon SBF】

Bitpush News, US President Donald Trump said in a New York Times interview that he has no plans to pardon Sam Bankman-Fried (SBF), the imprisoned former CEO of FTX, despite SBF's attempts to seek a pardon.

SBF was convicted on multiple fraud and conspiracy charges in 2023 during the Biden administration for stealing billions of dollars in customer funds from his now-bankrupt cryptocurrency exchange, FTX. He is currently serving a 25-year prison sentence and is attempting an appeal.

【US CFTC Approves Bitnomial to Launch Prediction Market Business】

Bitpush News, US derivatives trading and clearing platform Bitnomial received a "no-action letter" from the US Commodity Futures Trading Commission (CFTC) on January 8, approving the launch of prediction market products in the US based on digital asset price movements and macroeconomic indicators. Users can trade related contracts through its exchange and clearinghouse to predict and hedge risks related to crypto market and macroeconomic developments.

Previously, several institutions including Polymarket, PredictIt, LedgerX, DraftKings, and Gemini have successively obtained similar approvals. These developments are seen as an important signal of US support for the development of prediction markets within a compliant framework.

It is worth noting that although this approval was completed during the tenure of new CFTC Chairman Mike Selig, the "no-action letter" is only a non-binding staff-level permission and does not constitute formal regulatory approval of the business model. Nevertheless, this progress still means competition in the US compliant prediction market space will further intensify.

【Charles Schwab Analyst: BTC May Continue Sideways This Year, Awaiting Institutional Funds for a Breakthrough】

Bitpush News, Bitcoin has recently continued to fluctuate in the $85,000-$90,000 range, with several analysts believing the sideways trend may continue. Hashdex pointed out that short-term potential catalysts need attention, such as US monetary policy or crypto legislation progress.

Charles Schwab analyst Jim Ferraioli said: "For cryptocurrencies, this year might be relatively flat. From the low in November 2022 to the intraday high of $126,000 last October, Bitcoin rose 8-fold in three years. The market is still digesting this gain. It's currently primarily driven by ETF flows, but true institutional investors have not entered the market on a large scale yet. Once relevant legislation is introduced, this could become the next driver for a sustained rise in Bitcoin's price."

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Original link:https://www.bitpush.news/articles/7601183

If the AI Bubble Is Already Bursting, Who Will Truly Survive?

If the AI Bubble is Bursting, Who Will Remain? The debate over an AI bubble is intensifying, with figures like Ray Dalio warning of high levels and Jensen Huang seeing immense, early-stage opportunity. Both views hold truth: a speculative bubble in capital markets likely exists, mirroring the dot-com era, but the underlying technological shift is real and transformative. History shows that while bubbles burst—wiping out overvalued companies and speculative capital—they often leave behind critical physical and digital infrastructure. The dot-com bust, for instance, eliminated many firms but left the global fiber optic networks and data centers that enabled the rise of Amazon, Netflix, and cloud computing. Today's massive AI infrastructure investments (projected at trillions by 2030) in data centers, power, cooling, and GPUs may follow a similar path, creating the foundation for future applications. A key divergence from past bubbles is the "Jevons Paradox" effect in AI. As the cost of AI inference has plummeted by over 99.7% since 2023, enterprise spending on AI has skyrocketed. Cheap "tokens" have unlocked vast, previously uneconomical use cases, moving AI from simple chatbots into core business workflows—code generation, legal document review, scientific simulation, and financial analysis. The market is now in a phase of self-correction, weeding out superficial "API-wrapper" startups, but this cleansing process strengthens the ecosystem. The long-term trajectory is clear. The value is gradually shifting from capital expenditure (CapEx) on hardware to operational expenditure (OpEx) on transformative applications. As AI becomes a utility, the winners will be firms that deeply integrate it to solve vertical industry problems in law, healthcare, finance, and manufacturing. The泡沫 will recede, but the foundational shift towards an AI-powered era across all sectors is irreversible. The underlying productive force of AI contains no bubble.

marsbit17m ago

If the AI Bubble Is Already Bursting, Who Will Truly Survive?

marsbit17m ago

If the AI Bubble Is Already Bursting, Who Will Truly Remain?

**Summary: If the AI Bubble is Bursting, What Will Remain?** The debate around an AI bubble is intensifying, with figures like Ray Dalio warning of high valuations while Jensen Huang sees immense opportunity. This echoes the dot-com bubble, which saw massive wealth destruction but ultimately left behind critical infrastructure like undersea cables and broadband, enabling future giants like Amazon and Netflix. Similarly, today's AI boom involves trillions invested in data centers, power, cooling, and GPUs, while application-layer revenue remains comparatively modest. This investment-disparity signals a bubble. However, the core technological progress is real and accelerating. AI inference costs have plummeted by over 99.7% since 2023, making intelligence increasingly cheap and accessible. This cost collapse is unlocking vast new demand. Instead of reducing spending, enterprises are tripling their AI cloud expenditure. Cheap "tokens" enable AI to move beyond simple chatbots into complex workflows—automating code writing, legal document review, financial analysis, and scientific research. This follows "Jevons's paradox": improved efficiency leads to greater total consumption. The market is now undergoing a necessary purification, weeding out "API-wrapper" startups with no real moat. The deeper evolution involves a shift from capital expenditure (CapEx) on infrastructure to operational expenditure (OpEx) on value-creation in applications. While hardware vendors currently profit most, long-term value will migrate to AI-native firms solving vertical industry problems. Ultimately, a market correction will cleanse speculative excess but will not reverse the AI+ trend. The massive physical and algorithmic infrastructure being built will endure, becoming a cheap, utility-like foundation. Just as the internet became indispensable to all industries post-2000, AI is poised to empower and redefine every sector, moving society irreversibly toward an intelligence-augmented era. The bubble may burst, but the underlying productive momentum is solid.

链捕手24m ago

If the AI Bubble Is Already Bursting, Who Will Truly Remain?

链捕手24m ago

Microsoft CEO: In the AI Era, How Do You Define a Company's Moat?

Microsoft CEO Satya Nadella argues that in the AI era, a company's true competitive edge, or "moat," is not determined by choosing the single most powerful model, but by its ability to build a continuous "learning loop." This system integrates and evolves by connecting human workflows, domain expertise, organizational judgment, and employee experience. He posits that future companies will accumulate two types of capital: Human Capital (employee knowledge, judgment, creativity) and "Token Capital" (a firm's own built and owned AI capabilities). Importantly, AI amplifies rather than devalues human capital. Human direction is essential to guide progress, as computational power alone is aimless. The core opportunity lies in creating a closed-loop system where human and token capital reinforce each other in a compound, self-improving cycle. A company must be able to preserve its unique institutional knowledge—its "company veteran" expertise—even if it switches underlying general-purpose AI models. This requires private evaluation benchmarks, reinforcement learning environments based on internal data, and queryable knowledge bases. Nadella warns against a future where economic value is concentrated by a few dominant models that commoditize entire industries' knowledge. Instead, the priority should be building a broad "frontier ecosystem" where every company, industry, and nation can own its learning loop. This allows organizations to retain control of their intellectual property, amplify employee capabilities, and ensure the economic value created by AI is captured within their own businesses and communities. True corporate sovereignty in the AI age comes from turning organizational knowledge into a compounding system that creates enduring, defensible value.

marsbit59m ago

Microsoft CEO: In the AI Era, How Do You Define a Company's Moat?

marsbit59m ago

ETFs Are Just the Ticket: The True Institutionalization of Bitcoin Is Happening Where You Can't See It

Beyond the Bitcoin ETF spotlight, a deeper institutionalization is underway, leveraging Bitcoin as a foundational financial primitive. Institutions are using Bitcoin for purposes long reserved for assets like U.S. Treasuries and gold: as collateral for loans, insurance reserves, and the backbone of rated bonds. Examples include a Barbados-based insurer capitalizing with $40M in Bitcoin reserves and Ledn's $188M securitization of Bitcoin-backed loans, which received the first-ever investment-grade rating (BBB-) from S&P for a digital asset-backed security. This structure was stress-tested during a 27% price drop in early 2026, triggering automatic liquidations that functioned as designed but revealed the systemic risk of synchronized selling across leveraged positions. Infrastructure is evolving to support this, with platforms like Anchorage Digital's Atlas network enabling secure, institutional-grade settlement and collateral management. Strategies like basis trades and corporate treasuries (exemplified by companies like MicroStrategy issuing billions in equity and debt to fund Bitcoin acquisitions) further integrate Bitcoin into financial mechanics. While ETFs solved "how to own" Bitcoin, these developments answer "what to do with it," embedding the asset into the working machinery of finance—as collateral upon which loans, derivatives, and structured products are built. The real, enduring institutional shift is happening in these largely invisible plumbing and financing systems.

marsbit1h ago

ETFs Are Just the Ticket: The True Institutionalization of Bitcoin Is Happening Where You Can't See It

marsbit1h ago

ZEC Co-Founder Responds to Orchard Vulnerability: No Signs of Theft, Orchard Pool to Be Sealed

ZEC Co-Founder Addresses Orchard Vulnerability: No Signs of Theft, Plans to Sunset Orchard Pool A security vulnerability was recently discovered in Zcash's Orchard shielded pool, raising key concerns. The primary questions are whether the flaw was exploited, if user funds are safe, whether users can verify the total ZEC supply, and if other similar vulnerabilities exist. Analysis suggests the vulnerability was likely not exploited prior to its discovery. It was found proactively by a researcher using specialized tools, not due to an active breach. The development team and mining pools acted quickly to contain the issue. Typical financially-motivated attacks would likely have left visible on-chain evidence, which has not been observed. User funds in Orchard are considered safe and should be recoverable, assuming no prior exploitation. If the flaw was never used, all legitimate funds can be withdrawn. The article outlines risks associated with moving funds to transparent addresses or other pools, but concludes that leaving assets in place is a reasonable option. Currently, users cannot independently verify that the total ZEC supply hasn't been inflated due to this bug. However, the planned Ironwood network upgrade is designed to resolve this. It will permanently close the Orchard pool to new deposits and internal transfers, allowing only withdrawals. This mechanism will cap total withdrawals at the amount of legitimately deposited funds, enabling anyone to cryptographically verify the supply post-upgrade. Multiple teams, including Shielded Labs, have conducted extensive audits focused on counterfeiting vulnerabilities, assisted by advanced AI tools. No additional flaws of this type have been found so far, increasing confidence that no other similar undisclosed vulnerabilities exist. In summary, evidence indicates the Orchard bug was probably not used, user funds are secure, and no other counterfeiting flaws are currently known. The upcoming Ironwood upgrade will restore users' ability to independently verify the total ZEC supply, closing this chapter.

Foresight News1h ago

ZEC Co-Founder Responds to Orchard Vulnerability: No Signs of Theft, Orchard Pool to Be Sealed

Foresight News1h ago

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