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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.

Tencent IEG restructures its AI gaming division, aiming to explore AI-native games

Tencent Interactive Entertainment Group (IEG) is integrating ARC Lab and the Game AI Engine Department to establish a new AI gaming department (tentatively named ARC Lab), led by Chen Dong, the head of Tencent Games Public Technology. The aim is to explore AI-native games. The department currently has about 100 people, with plans to expand to 400 to 500, and is actively recruiting on a large scale for top multimodal generation teams, covering areas such as audio and video foundational models, video world models, Agents, etc.According to informed sources, the early formation model of the department references the talent and data supply chain paths of Seedance and Keling, focusing on exploring the possibility of directly generating games from video models. Tencent IEG has a cash flow of 130.1 billion yuan in game revenue for the first half of the year and approximately 10,000 H card computing power reserves, as well as exclusive game data that cannot be accessed by the mixed Yuan large model. Currently, Tencent's AI game development is showing a parallel multi-system situation: TEG provides basic capabilities, the IEG middle platform integrates tools, and the four major studios are advancing independently, with no unified standards yet. The specific organizational structure is still being refined, and the final plan will be subject to official announcement.
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