Marc Benioff, Salesforce | The Road to Service as Software

SiliconANGLE theCUBE April 25, 2025
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SiliconANGLE theCUBE

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SiliconANGLE Media Inc. is based in Palo Alto and Boston. We focus on enterprise technology, digital transformation and cultures of innovation. We cover cloud, AI, mobile, social and emerging topics, including IoT, autonomous vehicles, blockchain and others. Our brands include theCUBE.net, our video operation, SiliconANGLE.com, our publishing operation, and theCUBEResearch.com, our analyst services operation.

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TheCUBE Research’s Dave Vellante and George Gilbert talk with Salesforce CEO Marc Benioff from theCUBE Studios in Palo Alto, CA and Boston, MA. Summary Points • Agents are driving a "digital labor revolution." Salesforce is targeting 50% productivity increases in its own engineering and services teams this year. • Digital labor market will have a value of $3-12 trillion, far exceeding the current enterprise software market of ~$500 billion. That is the magnitude of the transition to Service as Software from the current Software as Service. We’ll access these services through an Agent Store. • Salesforce is building a tightly integrated three-layer architecture: applications (Sales/Service Cloud, Slack, etc.), unified data repository (Data Cloud) and an "agentic layer,” (Agentforce). • Benioff embraced our idea of them as a "software hyperscaler." They federate bi-directionally with data platforms such as Databricks and Snowflake. But Data Cloud federation makes the data more valuable because it then enriches it into a 4D map of customer-related data for Tableau, the Customer 360 apps, agents, etc. That "data fluidity" enables agents to access information across previously siloed systems, including legacy applications. • Benioff rejects Satya Nadella's assertion that SaaS will disappear and agents will talk directly to database schemas, arguing that proper governance, metadata and other deterministic mediation elements will remain essential. But we’re still waiting for Salesforce’s Klarna moment - a transformational customer showcase. Agent productivity Benioff compares today’s excitement to Salesforce’s early startup days. He says today’s CEOs represent “the last generation of executives leading exclusively human workforces.” He’s pushing this vision internally, aiming for 50% productivity gains in engineering, services and support via “agentic layers,” expecting annual compounding gains. Digital labor Salesforce’s expected $40.9B in annual SaaS revenue sits within a $500B enterprise software market — but the digital labor market could reach $3-12T. Agent-driven digital labor shifts SaaS to SaSo, a foundational transformation. Customer stories such as OpenTable’s show productivity jumps unimaginable just a year or two ago. Services will be shared through an Agent Store, akin to Apple’s App Store. Salesforce integration vs DIY Salesforce’s AI architecture includes three integrated layers. It’s doing the “heavy lifting” by rebuilding core apps in the Data Cloud, which merges internal and external data into a rich 4D business map. Tableau, for example, is rebuilt on this foundation. It now operates fluidly within apps such as Sales Cloud, Service Cloud, and Slack. And Agentforce can work not just within the apps but within Tableau inside Slack. In contrast, DIY integration is viable only for the most advanced companies — and even then, struggles with reliability. Becoming a software-only hyperscaler Salesforce is evolving into a “software-only hyperscaler,” delivering cloud-scale apps and platforms without building data centers. Its Data Cloud federates with external data platforms and breaks silos, making data more useful. One example: Disney’s “agent fluidity,” where AI agents simultaneously access guest preferences, ride availability and other inputs to offer coordinated recommendations at scale — beyond what human staff could achieve alone. Answering Nadella’s contention that SaaS goes away with agents Microsoft CEO Satya Nadella claims SaaS will dissolve into the agent layer as agents tap database schemas directly — but Benioff dismisses this as trolling. Simply dumping data into a massive repo via a discovery API and letting employees loose is a governance nightmare. Metadata, controls and deterministic software layers remain essential, even with non-deterministic agents on top. We challenged Nadella’s jab about Microsoft 365 Copilot being like Clippy, but Benioff noted Salesforce could still federate its data into Data Cloud. On a Klarna-style AI moment, Benioff declined to give a timeline. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:05 - From Pioneers to Innovators: The Transformation of Leadership and Labor in the Digital Age 03:47 - Embracing the Future: Salesforce in the Age of Cloud and AI 06:27 - Development of the AppExchange 10:26 - The Agentic Layer in Action 13:24 - Tableau's Integration with Data Cloud 19:59 - Overcoming Data Silos 23:06 - Harmonization and APIs 26:44 - The Promise of Data Cloud and Agentforce 31:37 - Disney as a Case Study for Agentic Fluidity 37:09 - Interoperability in Enterprise Software 45:09 - A Vision for the Future: Software Hyperscaler 48:01 - Closing thoughts from Marc Benioff #theCUBE #ServiceAsSoftware #Salesforce #theCUBEresearch #AgenticAI #AIinBusiness

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