Goldman Sachs is actively exploring the capabilities and limitations of artificial intelligence within its operations. While AI offers notable efficiencies, a partner at the firm has highlighted that the 'risk is over', suggesting a measured understanding of both the potential and current boundaries of these new tools.
Despite the growing investment in AI, Goldman Sachs suggests that the pace of AI demand by corporations is not as rapid as initially anticipated. Concerns persist around data security, quality, and availability, which remain top barriers to adoption. While some sectors like finance and insurance show higher adoption rates, others, such as information technology, education, and manufacturing, have seen decreased AI integration.
Goldman Sachs expects that AI will transition to a phase where clear winners and losers emerge within the AI-enabled revenue space. Investment in AI is predicted to continue, particularly in the semiconductor industry, with analysts forecasting a 37% increase in revenue by the end of next year. However, significant capital expenditure on AI may limit share buybacks for S&P 500 companies.
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