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first_img Goldman Sachs $100 billion Treasury Fund FTIXX connects to Lynq network

Goldman Sachs has connected its approximately $100 billion government bond fund FTIXX to the digital asset settlement network Lynq, providing a new subscription channel for institutional-level crypto companies. The fund will be listed on Lynq, with trading handled by tZERO Securities, a broker-dealer registered with the U.S. Securities and Exchange Commission. This is the first external fund introduced to the Lynq network, which previously only had a single investment product.Unlike most blockchain-based fund products on Wall Street, FTIXX has not been tokenized. BlackRock's BUIDL is a tokenized fund, and Franklin Templeton offers tokenized shares of money market funds through BENJI, while Goldman Sachs retains the traditional fund format of FTIXX, with Lynq opening new access channels for digital asset companies. Lynq CEO Jerald David stated that there is a convergence occurring between traditional market participants and digital asset market participants.For institutions using Lynq, FTIXX provides a place to store cash and earn returns during trading gaps, redeemable when needed. David mentioned that clients have been looking for government bond assets on the platform that offer yields different from existing tools. Lynq's partners include B2C2, Wintermute, Galaxy, FalconX, Crypto.com, and Fireblocks. The network operates on a private permissioned Avalanche Layer 1 blockchain and has connected over 30 institutional digital asset companies, with assets exceeding $89 million.

Goldman Sachs: Korean retail investors are flowing funds into cryptocurrency, and KOSPI's upward movement relies more on foreign investment

Goldman Sachs Global Investment Research Department's South Korea stock analyst Chris Cha stated in a report on September 23 that KOSPI has the conditions for a short-term tactical breakout, but the continuous flow of liquidity from South Korean retail investors into the cryptocurrency market will make the index's subsequent upward movement more reliant on foreign capital and local institutions reconfiguring. The report noted that concerns about the Federal Reserve's interest rates have been partially digested by the market, and risk appetite has shifted towards proxy AI themes.The report pointed out that South Korean memory chips provide fundamental support, with fourth-quarter DRAM contract prices expected to grow double digits quarter-on-quarter, and the ramp-up of HBM4 capacity will continue to limit the supply of standard server DRAM. Samsung Electronics' large shareholder returns, continuous buying by institutions, and foreign capital turning into net buying may drive KOSPI towards the resistance zone of 7000 to 7200 points.The report also indicated that the capacity of local South Korean retail investors to absorb has weakened. After Bitcoin returned to $85,000, cryptocurrency trading in South Korea has heated up. According to DefiLlama data cited in the report, Upbit's single-day spot trading volume on June 13 was approximately $770 million, which rose to $1.817 billion on September 22, an increase of about 136%. Based on the total trading volume of $3.27 billion on that day across South Korea's five major trading platforms, Upbit alone accounted for over half. Goldman Sachs believes this will make KOSPI more reliant on foreign and institutional buying in the future, and October is a critical window to test whether foreign capital will continue to increase its investment in South Korean semiconductor and AI assets.

first_img Goldman Sachs: AI-related companies account for approximately 40% of the market capitalization of the S&P 500

The AI wave is breaking the traditional asset diversification logic of pension and sovereign funds, with risks spreading from technology stocks to multiple areas such as private equity, corporate bonds, and infrastructure. Institutional investors are beginning to reassess the AI exposure of their entire portfolios.Goldman Sachs estimates that AI infrastructure-related companies account for about 40% of the total market capitalization of the S&P 500; Apollo data shows that this year, AI-related issuances have accounted for nearly half of the investment-grade bond issuance and 87% of venture capital funding. Monte Tarbox, Chief Investment Officer of the New York City Retirement System, recently rejected a fundraising request due to an overweight position in a private equity fund related to AI.Institutions currently face the challenge of lacking a unified standard for measuring AI exposure. The Los Angeles County Employees Retirement Association estimates that 8% to 19% of its holdings are related to AI; a survey by Invesco of 90 sovereign wealth funds shows that more than half list market concentration as the primary risk of AI investment. Some large institutions are beginning to adopt a holistic portfolio approach to track AI-related exposure and the correlations between assets, while some institutions are starting to use AI tools to monitor their own portfolios.

Goldman Sachs: Consumer-grade AI agents enter the platform layer with capital expenditures of $1.4 trillion in 2027

Goldman Sachs Research released a viewpoint on September 18, stating that AI is transitioning from the experimental phase to the implementation phase, with the rise of consumer-grade AI agents marking the emergence of the platform layer. At the Communacopia + Technology Conference held in San Francisco, most companies showcased cases from experimentation to implementation. Goldman Sachs expects that by 2027, capital expenditures for U.S. mega-cap companies will reach $1.4 trillion, exceeding Wall Street consensus.Goldman Sachs analyst Eric Sheridan stated that consumer-grade AI agents are shifting from conversational relationships to action-oriented tasks. If consumers overcome trust and security issues, they could execute complex tasks such as purchasing tickets and booking hotels. The monetization of such agents in the mass market will be similar to search, achieved through advertising and subscriptions. AI is evolving from the infrastructure layer to the platform layer and application layer, with declining token unit pricing and increased utility being key drivers of mass adoption.During the conference, concerns about AI risks became a major topic, but Goldman Sachs believes this will not slow down infrastructure construction, as demand for computing power still exceeds supply and most projects have already been contracted. Supply chain constraints such as memory chips, electricity, and land may pose resistance, but the capital expenditure cycle is expected to remain high through 2027.
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