Financial Data and Key Metrics Changes - The company reported revenue of $514 million for Q2 2025, representing a 15% year-over-year increase [5] - Adjusted EPS grew by 20% to $0.49 per share [6] - Revenue for the first half of 2025 was $1.015 billion, up 14.9% year-over-year on a constant currency basis [26] - Adjusted operating margin for Q2 was 19.6%, down 20 basis points year-over-year [25] Business Line Data and Key Metrics Changes - The insurance segment grew 8.6% year-over-year, generating $172.2 million in revenue [22] - Healthcare and life sciences segment reported revenue of $129.5 million, representing a 22% year-over-year growth [22] - Banking, capital markets, and diversified industries segment revenue was $121.1 million, up 15.8% year-over-year [23] - International growth markets segment revenue reached $91.7 million, a 15% year-over-year increase [24] Market Data and Key Metrics Changes - Data and AI-led revenue increased by 17% year-over-year, constituting 54% of total revenue [9] - The international growth market segment accounted for 18% of total revenue in Q2 [8] Company Strategy and Development Direction - The company focuses on embedding AI into workflows, aiming for long-term growth in data and AI services [10][12] - The business model emphasizes high-value, domain-specific workflows, avoiding low-value work vulnerable to AI disruption [10] - Continued investment in next-generation data and AI capabilities is planned to enhance client value [13] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in sustaining double-digit growth, supported by a strong sales pipeline [20] - The company anticipates revenue for 2025 to be in the range of $2.05 billion to $2.07 billion, reflecting a year-over-year growth of 12% to 13% [28] - Management noted that over 75% of revenue is recurring, providing stability and visibility [20] Other Important Information - The company launched new proprietary large language models for various applications, enhancing its service offerings [14][15] - A strategic partnership with Genesys was announced to improve customer engagement across multiple sectors [18] Q&A Session Summary Question: Growth in insurance and healthcare sectors - Management indicated stable growth in insurance and strong growth in healthcare, driven by data and AI solutions [34][35] Question: Impact of AI adoption on revenue and margins - Management highlighted a 94% success rate in implementing AI solutions, with expectations of margin expansion as the commercial model shifts [37][39] Question: Protection of intellectual property - Management emphasized proprietary datasets and a growing number of patents as key factors in protecting intellectual property [42][43] Question: Dynamics of employee costs and hiring - Management noted that increased employee costs are due to hiring highly skilled talent for data and AI initiatives [90][91] Question: Competitive environment and client relationships - Management observed a shift towards long-term partnerships with strategic providers, emphasizing the company's domain knowledge as a competitive advantage [66][68]

Core Viewpoint - C3.ai has underperformed in the AI sector, with its stock down approximately 22% over the past year and around 86% from all-time highs, primarily due to struggles in growth and profitability [1][2]. Company Performance - C3.ai has been a prominent name in the AI space, branding itself as an AI enterprise software company with significant partnerships, including clients like energy giants and the U.S. Air Force [4]. - The company generated $389 million in revenue over the last 12 months, which is significantly lower compared to its quasi-competitor Palantir Technologies, which reported $3.11 billion in revenue during the same period [5][6]. - C3.ai's revenue growth rate was 26% year over year, lagging behind Palantir's 39% growth [6]. Profitability Concerns - C3.ai reported an operating loss of $324 million last fiscal year, with stock-based compensation accounting for approximately 60% of its total revenue, raising sustainability concerns [9][10]. - The company has a bloated expense structure, which is hindering its ability to scale and achieve profitability despite revenue growth [8][10]. Future Outlook - C3.ai's business model, which relies on custom-built software solutions, appears non-scalable, leading to worsening operating losses since going public [12]. - The company has a high price-to-sales (P/S) ratio of 8.5, significantly above the S&P 500 average, coupled with deeply negative operating margins and no history of profitability [13]. - Given the high valuation, substantial losses, and slower revenue growth compared to peers, C3.ai is viewed as a poor investment choice in the current market environment [14].