Investment Rating - The report does not explicitly provide an investment rating for the industry or specific companies Core Insights - The global economy is expected to grow by 3% in 2025 and 2026, accelerating to 3.3% in 2027, with global inflation hovering around 2.5% [9][11] - AI is projected to drive approximately $1 trillion in spending by 2030, with over $800 billion dedicated to generative AI infrastructure [2][66] - The adoption of Agentic AI is on the rise, with an estimated spending of $155 billion by 2030, indicating a significant potential for productivity improvements [3][59] Global Economic Outlook - The global growth forecast has been upgraded by 20 basis points, largely due to China benefiting from a trade truce [9][10] - Trade policy uncertainty remains high, with geopolitical risks potentially affecting oil prices and energy importers [11][13] - The US economy is projected to grow by 1.6% in 2025-2026, reaching 1.9% in 2027, with a stable labor market [12][14] AI and Data Center Market - The global data center market is expected to reach ~$1 trillion by 2030, with AI servers representing 80-85% of the total addressable market (TAM) at ~$700 billion [2][66] - AI networking and storage are projected to account for ~$74 billion and ~$39 billion, respectively [2][66] Agentic AI Adoption - Agentic AI systems are designed to operate autonomously, with customer service, marketing, sales, and software development being the first major job functions to adopt these technologies [3][61] - Surveys indicate that 64% of organizations plan to pursue agentic AI initiatives by 2025, with significant spending potential [3][59] Precision Medicine and AI - AI is expected to accelerate the development of personalized medicine, which tailors treatments to individual patient profiles, although scalability and cost remain challenges [4][46] - Companies like Tempus AI, Guardant Health, Exact Sciences, and NeoGenomics are leading in AI precision medicine [46][48] Payments and Cross-Border Travel - A survey indicated that over 40% of respondents intend to change their cross-border travel plans, which could impact companies like Visa and Mastercard [52][53] - The travel industry is facing headwinds due to concerns about government policies and economic conditions [53][56] Semiconductor Industry - The semiconductor market is experiencing competitive dynamics among key players like Nvidia, Broadcom, and AMD, particularly in AI-related technologies [66][67] - AI data center systems are expected to grow significantly, capturing a larger share of global IT spending by 2030 [66][67]

Core Insights - A report from Bank of America Securities (BofA) indicates a significant medium-term increase in software spending driven by AI agents, despite current market caution regarding generative AI adoption and monetization [1] - BofA projects that spending on agentic AI technology could reach $155 billion by 2030, which is three times higher than most current industry analyst estimates [2] Industry Analysis - Agentic functionality is seen as a crucial factor for AI monetization, potentially leading to sustainable and measurable productivity improvements in the workforce [3] - BofA estimates that global knowledge worker wages across seven major occupation categories total $18.6 trillion annually, with a projection that agents could perform 10% of workflows by 2030, translating to $1.9 trillion in automation-driven value [4] Market Potential - If software vendors capture approximately 8% of the automation-driven value, this would result in global agentic AI spending of $155 billion, equating to a 12 times return on investment for customers [5] - Surveys indicate that 64% of organizations plan to pursue agentic AI initiatives by 2025, although many are still in the early stages of deployment [5][6] Adoption Trends - As of January 2025, 53% of organizations are in the exploration stage of agentic AI initiatives, 25% are in the pilot stage, and only 6% are in production [6] - Key job functions expected to adopt agentic technologies first include customer service, marketing, sales, and software development [6] Key Beneficiaries - Notable companies identified as key beneficiaries of AI include Microsoft Corp, Salesforce, ServiceNow, Intuit, HubSpot, GitLab, and OneStream, all of which have significant customer datasets and data management capabilities [7][8] - These companies are expected to begin monetizing their AI features and products around calendar 2026 [8]