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Debunking the Belief That Agentic AI Will Replace SaaS: Understanding the New Software Era Through SAPs Strength

Tech companies02 Jun 2026 16:09 GMT+7

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Debunking the Belief That Agentic AI Will Replace SaaS: Understanding the New Software Era Through SAPs Strength

"SaaSpocalypse" is a term that has shaken the global software stock markets, metaphorically describing an apocalypse signaling the end of traditional software due to the emergence of AI Agents from leading AI companies launching new products almost weekly.  These AI Agents are capable of performing a wide range of human tasks, from summarizing data and conducting basic numerical analysis to managing multiple workflows autonomously, prompting many investors to question,

“If AI can do everything, is traditional business software still necessary when anyone can develop in-house software at lower costs?” This concern has led to heavy sell-offs in many Software-as-a-Service (SaaS) stocks, wiping out hundreds of billions of dollars in market value swiftly. However, what transpired at SAP Sapphire 2026 in the United States this year proves that the world is misunderstanding the future of software.

This year, Thairath Money reporters were invited as Southeast Asian media representatives to hear SAP’s significant vision announcement about its new and more meaningful role as

“the infrastructure of the AI-driven business world,” which is no longer just traditional business software. This marks the beginning of a new era where software companies collaborate closely with AI firms to help businesses truly advance into the Autonomous Enterpriseera.From legendary ERP to AI-Ecosystem Builder of the business world

Starting as a small software house in Germany, SAP is now recognized globally as the leader in enterprise application software and the backbone behind ERP (Enterprise Resource Planning) systems used by large organizations worldwide. Its solutions cover finance, manufacturing, supply chain, human resources, sales, and customer service. Simply put, SAP acts as the "operating system" that remains vital in helping organizations build the digital foundation necessary for transformation into the new era.

However, as AI changes how businesses operate, SAP recognizes that remaining merely a traditional software vendor risks disruption. This is why SAP has announced a major transition from being a "Software Company" to a full-fledged "Business AI Company," helping organizations elevate their foundations to smoothly adapt to the AI era. SAP has paved a digital path leading to a future where organizations can autonomously manage everything.

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Get to know SAP, the German tech giant now Europe's largest company, surpassing pharmaceutical producers and top fashion firms. Why software is more crucial than ever in the AI era.

SAP views the world entering a new phase where AI becomes digital labor. However, these digital workers must operate on foundations of data, governance, security, process logic, compliance, and business context—all elements that enterprise software, especially ERP systems, have accumulated over decades. ERP stores extensive business logic essential for AI Agents to work safely and accurately with real business data.

At Sapphire 2026, SAP introduced the key concept of the Autonomous Enterprise—organizations that operate automatically with AI—asserting that the future does not rely on connecting multiple software systems but on transforming end-to-end business processes into intelligent systems capable of independent thinking, analysis, and action.

SAP strives to differentiate itself from general AI platforms by embedding AI directly into core business processes to generate measurable business outcomes. This is not AI for experimentation or chat tools alone; every AI must clearly impact revenue, costs, or organizational performance.

ERP is the Brain of Every Company

To illustrate, SAP has historically developed

Systems of Execution, or ERP systems that organizations worldwide use to manage operations, with humans directing all tasks through software. Today, SAP is completely transforming this model into one where AI Agents can proactively perform tasks on behalf of humans, leveraging its strongest asset: the ERP system and decades of accumulated business process knowledge as the "brain" for AI Agents that truly understand the unique context of real businesses. All of this is built on a platform called

SAP Business AI Platform, which integrates SAP Business Technology Platform, SAP Business Data Cloud, and SAP Business AI into a single environment with comprehensive governance, consisting of three key components: The Context Layer uses Knowledge Graphs and SAP Business Data Cloud to link all business data together, enabling AI to understand relationships and processes end-to-end.

  • Joule Studio 2.0 is an Open Development Layer for creating new AI Agents, allowing organizations flexible use of models from various providers like Anthropic, Mistral, or major Hyperscalers, directly connecting to business data.
  • The Governance Layer, or AI Agent Hub, oversees all AI Agents to ensure they access only authorized data and operate under organizational compliance rules.
  • This year’s highlight is the launch of


SAP Autonomous Suite, a set of AI solutions covering five main domains: Finance, Spend Management, Supply Chain, Human Capital Management (HCM), and Customer Experience (CX). These are embedded in SAP’s core business applications and can operate end-to-end autonomously. Additionally, SAP addresses misconceptions that AI will replace software, clarifying that while AI may replace user interfaces, it cannot replace business systems.

In the past, users had to open multiple programs, click through many menus, and fill in numerous screens. Now, users only specify goals or prompts, and AI Agents handle everything behind the scenes. The key question is: how does AI know the organization's financial procedures, who has approval rights, which data is critical, which workflows require compliance, or how the company's supply chain operates?

The answer is AI cannot do these without a supporting "Software Infrastructure" behind it. This is where SAP sees a major opportunity.

Software Company + AI Company Building a New Business World Together

One of the most significant signals from the event is that software and AI companies are not battling as social media fears suggest but are "joining hands" to create a new business world together.

Amid concerns that AI Agents are destroying the traditional SaaS business model, dubbed SaaSpocalypse,

Christian Klein, CEO of SAP, has been one of the industry's strongest voices opposing this notion. Interestingly, SAP does not reject AI trends but instead believes “AI is the reason enterprise software will become even more important.”Klein expressed this in an article published in the

Financial Timesin March 2026, stating that AI is the most significant technological change since the internet era and will transform enterprise software not because AI threatens it, but because AI depends on enterprise software.This statement reflects the core of SAP’s AI-era strategy. Klein argues the market mistakenly believes AI-era winners will be only AI model creators or infrastructure holders. Historically, every technology platform shift has seen long-term value flow back to the Application Layer—the software that converts technology into real business results, as happened with the internet and cloud computing.

Therefore, SAP is not competing directly with OpenAI, Anthropic, or Google but positions itself as the "operating system of the enterprise" to which all AI must connect. Under this strategy, SAP is undergoing major transformations such as:

Promoting Joule as the main orchestration layer coordinating multiple AI Agents across sales, supply chain, and procurement.

  • Positioning SAP Business Data Cloud as the central hub for all data, enabling AI to access full business context.
  • Proactively acquiring Prior Labs, a German AI startup, to strengthen Sovereign AI capabilities for enterprise clients concerned with data and regulatory compliance.
  • Shifting AI pricing models from per-seat licensing to consumption-based pricing, aligning costs with actual usage outcomes to address client resistance to traditional per-user fees.
  • Moving away from cloud-only AI concepts and enabling customers to run some AI workloads on-premises, addressing industries and governments unable to fully migrate sensitive data to the cloud.
  • Most recently, introducing the Autonomous Enterprise concept where software becomes the operating system for a world where AI can safely make decisions and perform tasks on behalf of humans.
  • This year, SAP announced partnerships with global companies including Nvidia, Anthropic, AWS, Google Cloud, and Microsoft. SAP recognizes that AI firms offer Foundation Model capabilities while SAP provides business context. Together, they create a new AI Enterprise Ecosystem where AI does not replace software but empowers it.


Anthropic, developer of Claude, stated their belief that as AI capabilities grow, organizations must understand AI’s decision-making and ensure AI operates within defined organizational boundaries. Nvidia described SAP as building "one of the most important AI platforms for enterprises globally" and noted that enterprise software is transitioning from hand-coded software to an era where AI can understand, think, analyze, and act autonomously.

SAP is also expanding collaborations with global organizations like JPMorgan Chase and KPMG to develop AI Agents for specialized tasks in large enterprises—for example, embedding AI into JPMorgan’s accounting and financial ledger systems with strict regulations, or partnering with KPMG to create AI Agents that help reduce costly contract leakage worth millions of dollars to organizations.

All of this reflects SAP’s evolving role from providing mere employee tools to becoming an “AI ecosystem for enterprises,” where AI Agents are the new workforce powering the business world.

SaaSpocalypse May Be a Misunderstanding

Ultimately, SAP demonstrates that AI Agents do not eliminate software but force software companies to undergo major transformations. Previously, software was a vast collection of screens and menus users had to learn and navigate.

In the Autonomous Enterprise era, software becomes the “brain of the business” that AI uses to make decisions and act. The more the world advances into the AI era, the more critical business systems, data, and security behind software become.
Therefore, what is happening may not be the feared SaaSpocalypse but rather the dawn of “The Next Era of Software,” where software does not disappear but evolves into the infrastructure of a new AI-driven economy, becoming a key accelerator for the value chain and productivity in the future workplace.

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