Core Insights - The "Anthropic storm" has significantly impacted software stocks and is spreading to traditional industries like wealth management and real estate, driven by the pessimistic market sentiment that "AI disrupts everything" [1][2] - The S&P 500 software and services index has dropped approximately 15% since late January, erasing nearly $1 trillion in market value due to fears surrounding AI's impact on subscription-based revenue models [2][3] - Despite the turmoil, certain job roles, particularly Forward Deployed Engineers (FDE), are experiencing a surge in demand, with a projected growth of 42 times from 2023 to 2025 [5][6] Software Industry Impact - The release of Anthropic's AI tools has led to significant stock declines for major software companies, including Microsoft and SAP, which have not recovered from the losses since early February [2][3] - The introduction of AI-driven tools like the legal plugin for Claude Cowork has caused substantial market value losses for companies like Thomson Reuters and RELX, highlighting the threat to traditional software revenue models [3][4] - The market is witnessing a structural debate on whether AI enhances or compresses enterprise software, with fears that AI workflows could undermine subscription-based revenue models [4][5] Job Market Dynamics - The demand for FDE roles is rising sharply, with companies like OpenAI and Anthropic actively recruiting to bridge the gap between AI technology and its practical application in business [5][6] - FDEs are multi-skilled engineers who work directly with clients to implement AI solutions, and their roles are critical in ensuring AI models operate effectively within existing business frameworks [6][7] - The compensation for FDE positions is highly competitive, with salaries reaching up to $400,000, reflecting the scarcity of talent capable of integrating AI into enterprise systems [7][8] Market Revaluation - The stock market is undergoing a revaluation of winners and losers in the AI era, with traditional software companies facing significant pressure due to their reliance on outdated revenue models [15][16] - The focus is shifting from "who has the model" to "who can effectively deploy and manage AI models in enterprises," indicating a potential shift in investment themes [16][17] - The two main areas of opportunity in the AI landscape are AI deployment and governance infrastructure, as well as the AI data center power and cooling supply chain, which are expected to see increased demand as AI applications scale [16][17]