# Сопутствующие статьи по теме Investment

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Investment", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

AI Era's 'Scarce Assets'? Goldman Sachs: HALO—Heavy Assets, Low Obsolescence

In the AI era, market focus is shifting from scalable, light-asset business models to valuing hard-to-replicate physical assets and infrastructure, a trend Goldman Sachs terms "HALO" (Heavy Assets, Low Obsolescence). This reflects a repricing of scarcity driven by higher real interest rates, geopolitical fragmentation, supply chain restructuring, and massive AI-driven capital expenditure. HALO assets—such as power grids, pipelines, utilities, and critical industrial capacity—have high replication barriers (cost, regulation, engineering complexity) and remain economically durable across technology cycles. Meanwhile, AI is undermining the profitability and terminal value of some light-asset sectors (e.g., software, IT services) by reducing information costs and increasing competition. Notably, major tech firms are now becoming large-scale capital spenders, with projected Capex of $1.5 trillion from 2023-2026—surpassing their cumulative historical investment. Since 2025, Goldman’s heavy-asset portfolio (GSSTCAPI) has outperformed its light-asset counterpart (GSSTCAPL) by 35%, driven by valuation rerating rather than broad de-rating of light assets. Macro factors support this shift: higher rates compress valuations of long-duration growth stocks, while manufacturing and capex cycles benefit heavy-asset firms. Earnings momentum is also stronger for heavy-asset companies, with higher expected CAGR (14% vs. 10%) and improving ROE. Despite recent gains, institutional positioning remains underweight value/heavy-asset stocks, suggesting further potential for outperformance.

marsbit02/25 08:50

AI Era's 'Scarce Assets'? Goldman Sachs: HALO—Heavy Assets, Low Obsolescence

marsbit02/25 08:50

While Everyone Is Selling Software Stocks, HSBC Says You're Wrong

Amid a severe selloff in software stocks dubbed the "SaaSpocalypse" in early 2026, HSBC’s U.S. tech research head Stephen Bersey published a contrarian report titled "Software Will Eat AI." He argues that the market’s fear—that AI agents will replace traditional enterprise software—is a misjudgment. Instead, Bersey contends that AI will be absorbed into existing software platforms, becoming an embedded capability rather than a disruptor. Key points from the report include: - AI lacks the depth to replace complex enterprise systems due to training data limitations and inability to replicate decades of proprietary business logic. - "Vibe coding" and AI-native approaches overestimate the ability to rebuild reliable, large-scale enterprise software from scratch. - High switching costs and trust in incumbent software providers create durable barriers. Bersey believes software companies with deep data moats and AI integration capabilities—such as Oracle, Microsoft, Salesforce, and ServiceNow—are well-positioned to monetize AI through task-based agents operating within software-defined boundaries. He sees 2026 as the year AI monetization scales within software, driven by inference demand, not training. HSBC recommends buying select software stocks while downgrading others like IBM and Palo Alto Networks, emphasizing that not all will benefit equally. The core thesis: software is the vehicle through which AI delivers scalable, governed enterprise value—not its replacement.

marsbit02/25 02:51

While Everyone Is Selling Software Stocks, HSBC Says You're Wrong

marsbit02/25 02:51

活动图片