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C3.ai, Inc. (AI) J.P. Morgan 52nd Annual Global Technology, Media and Communications Conference (Transcript)
C3.aiC3.ai(US:AI)2024-05-20 16:48

Summary of C3.ai, Inc. Conference Call Company Overview - Company: C3.ai, Inc. (NYSE:AI) - Industry: Enterprise AI - CEO: Tom Siebel - Conference Date: May 20, 2024 Key Points Company Background - Tom Siebel has a history in software, founding Siebel Systems in 1993, which became a leading CRM provider with $2 billion in revenue and 4,500 customers globally [4][5] - C3.ai was founded to leverage cloud computing, big data, IoT, and predictive analytics, focusing on enterprise AI since 2009 [5][6] Market Opportunity - The addressable market for enterprise AI is projected to be between $1 trillion and $2 trillion [8][14] - C3.ai claims to be the only company with 90 applications targeting this market, aiming to establish a global market leadership position [8][12] Infrastructure and Software Dynamics - There is a significant growth in infrastructure spending, particularly by companies like NVIDIA, but the software stack has not seen a similar inflection yet [9][10] - The value in enterprise AI is expected to shift from silicon and infrastructure to applications, with applications projected to account for 70% of the value in the long run [11][12] C3.ai Platform and Applications - C3.ai simplifies the scaling of enterprise AI by providing a comprehensive platform that integrates various components necessary for application development [18][21] - The platform includes generative AI tools and supports various learning models, making it adaptable to different needs [23][31] - C3.ai has reported significant economic benefits for clients, such as Shell, which has realized $2 billion annually from using C3.ai applications [16][34] Competitive Landscape - C3.ai does not see direct competition from major cloud providers like Amazon or Google, as their applications are complementary to these platforms [54][55] - The primary competition is the internal IT departments of companies attempting to build their own solutions using disparate tools [55] Customer Demand and Growth Metrics - C3.ai reported a 23% year-over-year growth in subscription revenue and an 80% increase in customer count [40][44] - The transition to consumption-based pricing has shown positive results, with accelerating growth observed in recent quarters [41][44] Macro Environment - There is a strong demand for AI solutions, with no budget constraints reported by major clients like JPMorgan Chase and Bank of America [38][39] - The market for enterprise AI is developing rapidly, driven by CEO-level decisions rather than traditional budget constraints [38] Use Cases and Productivity Gains - Key applications of C3.ai include predictive maintenance, supply chain optimization, and fraud detection, with significant productivity increases reported by clients [57][61] - For example, the U.S. Air Force has achieved a 25% increase in aircraft availability through predictive maintenance applications [60] Challenges and Considerations - The generative AI market is vast but presents challenges such as cybersecurity risks, data exfiltration, and IP liability [28][29][31] - C3.ai claims to have addressed these issues, making their platform secure and reliable for enterprise use [31] Future Outlook - C3.ai is focused on capturing the large addressable market and leveraging its first-mover advantage in enterprise AI [64] - The company is committed to investing in market share and brand rather than immediate profitability, drawing parallels to the growth trajectories of companies like Amazon and Salesforce [46][47] Conclusion C3.ai is positioned as a leader in the enterprise AI space, with a robust platform and significant market opportunities. The company is focused on driving growth through innovative applications while addressing the challenges associated with generative AI and enterprise solutions.