Cloud Wars Live with Bob Evans

At SAP Sapphire in Orlando, Bob Evans sat down with Sebastian Steinhäuser to discuss what may be one of the most consequential strategic shifts in SAP’s history. As enterprise AI moves from experimentation to execution, Steinhäuser outlines SAP’s vision for the autonomous enterprise: where AI agents, assistants, business data, and deep industry expertise come together to solve real operational problems.

AI with Industry Depth

The Big Themes:

Customers Want Outcomes, Not AI Demos: A recurring theme in the conversation is that enterprise leaders are not buying AI for novelty. They want measurable business outcomes. Customers are focused on solving hard operational problems such as improving supply chain resilience, winning in retail execution, streamlining regulated manufacturing, and modernizing enterprise workflows. This reflects a broader evolution in enterprise buying behavior. The AI conversation has moved beyond experimentation into operational accountability.

The Autonomous Enterprise Is SAP’s North Star: SAP’s central narrative at Sapphire is the autonomous enterprise. Steinhäuser describes a future where AI agents and human workers collaborate, with AI taking responsibility for repetitive, process-heavy, and data-intensive tasks while employees focus on higher-value decision-making. This is more than a product launch — it is SAP’s strategic framework for the next phase of enterprise software. The company references hundreds of AI agents and dozens of assistants spanning functional domains. Importantly, SAP is positioning these capabilities as practical rather than speculative.

Ecosystem Scale Will Determine Execution: SAP clearly sees its partner ecosystem as critical to AI transformation at scale. Steinhäuser points to thousands of ecosystem participants at Sapphire and outlines investments designed to accelerate migration, implementation, and AI activation. This reflects enterprise reality: large organizations rarely transform through software vendors alone. Systems integrators, consulting firms, implementation specialists, and migration partners often determine whether transformation succeeds.

The Big Quote: “Building the technology is one thing. Really changing processes, people, and systems to adapt AI, it’s a totally different one."

More from SAP:

Learn more about Sapphire and about Joule Assistants.

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In today's Cloud Wars Minute, I explore how SAP’s AI Revolution could redefine enterprise software through agents, data, and industry-specific intelligence.

Highlights

00:03 — We are reporting here from the Sapphire show floor in Orlando. It's been a wild week here, and I had a great chance to talk with SAP Chief Operating Officer, Sebastian Steinhäuser about some of the changes that are going on there inside what I call SAP's AI Revolution.

00:21 — Covering everything from what it's doing with agents, how it's redefining their apps, how it's building up its Data Platform, and more. Sebastian offers some great insights into all of that, and we talked about it in a full-length video linked to down below.

01:13 — (Sebastian offers insights about) the rise of data within SAP becoming the foundation for everything, the Business Data Cloud moving into a very powerful area, the Business AI Platform now consolidating some different sort of platforms and technologies that SAP had so that customers can gain more from that more quickly.

02:00 — SAP sees the world, and Sebastian describes this, where there's going to be tens, hundreds of thousands of agents, perhaps millions, you know, a few years out. And certainly SAP is not going to build all of those. So it's going to be the partners that do this.

03:09 — SAP is more focused than ever before on delivering not just code (that happens to be what they make) but what SAP's real focus is: delivering superb business outcomes for customers.

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In today’s Cloud Wars Minute, I examine why OpenAI bringing frontier models to AWS signals a new era of AI platform pragmatism.

Highlights

00:03 — Hot on the heels of the news that OpenAI and Microsoft have re-explored the terms of their partnership, leading to a much more flexible outcome for OpenAI, the company has introduced an expanded partnership with AWS to bring OpenAI's latest models to Amazon Bedrock.

00:23 — The new solutions currently in preview include the launch of Codex on Amazon Bedrock and Amazon Bedrock managed agents powered by OpenAI. Now AWS customers will be able to leverage the latest OpenAI models through their existing Amazon Bedrock APIs and controls.

00:46 — Customers will be able to utilize OpenAI's coding agents to scale software development on Bedrock. And with Amazon Bedrock managed agents powered by OpenAI, teams can build and deploy production-ready OpenAI-powered agents on AWS, benefiting from the global infrastructure and security AWS provides.

01:06 — At the heart of this expanded partnership, particularly in terms of messaging from AWS, is the delivery of frontier AI to the infrastructure millions of organizations already trust, and this is one of the cornerstones we're seeing now in the AI Revolution in terms of partnerships.

01:39 — Companies are focusing on their strengths, which is crucial for the parts of the business that customers rely on and that really define them in the eyes of their users. Ultimately, it's the customers who will benefit from these collaborations moving forward.

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Highlights

00:28 — Over the past couple of years, SAP has been the growth leader in applications, growing anywhere from 50% to 250% faster than some of its major competitors.

00:41 — The company has undergone a shift to consumption pricing. This is something that will be phased in over the next couple of years. CEO Christian Klein says it reflects the way that people are using AI and the value they’re getting out of the product.

01:12 — SAP is developing tighter relationships with AI innovators. An interesting one is Palantir, which is now billing itself as an AI infrastructure company, serving as the software foundation enabling AI to do its best work.

02:00 — There are three recent notable acquisitions:

Reltio for Master Data Management

Dremio for more SAP and non-SAP data pulled together

Polar Labs to help SAP move forward with structured data

02:52 — Evidently, SAP is trying to capitalize on what’s happening with the AI revolution and the new capabilities that come with it. I think that Klein’s leadership, focus, and willingness to take ambitious moves with acquisitions and strategic partnerships will be force multipliers in the market.

03:47 — Forward-deployed engineers will be a big part of SAP’s new AI alignment with customers, to help those customers rapidly develop and deploy AI agents and applications.

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In this Cloud Wars conversation, Bob Evans sits down with Workday Co-Founder and CEO Aneel Bhusri for a candid discussion about AI’s disruptive impact on enterprise software, the future of agentic workflows, and why Bhusri returned to the CEO role during one of tech’s most consequential transitions. The conversation explores whether AI will replace software or labor, why systems of record remain strategically vital, and how enterprise leaders should think about governance, security, and business transformation as intelligent agents begin reshaping the operating model of modern organizations.

AI Changes Enterprise Work

The Big Themes:

AI Replaces Labor, Not Software: One of the most provocative points in the conversation is Bhusri’s assertion that AI is not currently replacing enterprise software, it’s replacing labor. That distinction changes everything. Rather than displacing systems like HR, finance, or ERP, AI is being layered on top of those systems to automate work previously performed by people. Bhusri sees this as both a business opportunity and a societal concern.

Systems of Record Still Matter: Despite “SaaSpocalypse” chatter, Bhusri argues strongly that systems of record remain deeply entrenched. Customers are not planning to rip out core HR or ERP systems and replace them with loosely connected AI tools. Instead, the competitive battle shifts to what gets built on top of those platforms. That’s a major strategic advantage for incumbents with trusted enterprise infrastructure, data models, and governance frameworks. Bhusri groups Workday alongside SAP, Oracle, and Salesforce as vendors with durable strategic relevance.

AI’s Social Impact Is the Bigger Story: The most human part of the discussion comes at the end, when Bhusri expresses genuine concern about AI-driven job displacement. Unlike past automation waves focused on repetitive tasks, he worries this generation affects reasoning and knowledge work. Yet he remains optimistic that technology ultimately improves society. Still, he insists enterprise leaders must become part of the solution, not simply profit from disruption.

The Big Quote: “Great tech companies aren’t built on one generation of technology.”

More from Aneel Bhusri and Workday:

Learn more about Workday and AI Connect and Workday Agent System of Record.

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