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The Rise of Agentic Platforms and the Decline of SaaS

August 10, 2025•Daniel Newman•Original Link•3 minutes
AI
SaaS
EnterpriseSoftware

SaaS is being replaced by Agentic Platform Companies, which leverage AI to deliver adaptive, intelligent systems for enterprise software.

Close-up of a person's hand holding a smartphone and using the Opus 4 model within the Claude app from AI company Anthropic, Lafayette, California, May 22, 2025. (Photo by Smith Collection/Gado/Getty Images)

Gado via Getty Images

The software landscape is undergoing a seismic shift, with traditional SaaS (Software-as-a-Service) models being eclipsed by Agentic Platform Companies (APCs). These APCs combine SaaS, software, and cloud technologies with AI-powered systems to deliver adaptive, intelligent solutions that traverse enterprise environments. According to industry insiders, SaaS is now akin to "building real estate in a bad neighborhood," as mid-market players face existential threats from AI-native startups and tech giants.

The Big Squeeze on SaaS

A recent study by AlixPartners examined 122 publicly traded enterprise software companies with annual revenue under $10 billion. The findings reveal a "big squeeze": AI-native startups are offering lower-cost, faster-evolving tools, while incumbents like Microsoft, Salesforce, and Oracle are embedding AI into their ecosystems at scale. This has led to a decline in high-growth SaaS companies, from 57% in 2023 to 39% in 2024, and a drop in net dollar retention from 120% in 2021 to 108% in late 2024.

Why SaaS Is Struggling

Microsoft CEO Satya Nadella reportedly declared "SaaS is dead," criticizing enterprise software as "crud databases with logic on top." The traditional dashboard-and-seat-license model is being replaced by AI agents—autonomous systems that learn and execute tasks without constant human input. Key drivers of this shift include:

  • AI-Driven Adaptability: Static workflows are giving way to dynamic, learning-based systems.
  • Cloud-Native + Edge Computing: Processing is moving closer to the user for real-time decision-making.
  • Composable Architecture: Modular, mix-and-match services are replacing monolithic applications.
  • Token Economics: Outcomes will be powered by autonomous agents, requiring a rebuild of consumption and pricing models.

The New Winners

Industry analysts predict that one-third to one-half of today’s SaaS companies will disappear or be reduced to API-level data feeds within 36 months. The companies best positioned to thrive in the APC era include:

  1. Alphabet (Google)
  2. Microsoft
  3. Palantir
  4. ServiceNow
  5. Amazon
  6. Oracle
  7. Salesforce
  8. IBM
  9. SAP
  10. OpenAI

These firms are not just adding AI as a feature—they are making it the core of their operations. For example, Palantir recently secured a $10 billion U.S. Army contract, cementing its role as a consolidation layer for AI, data, and software in secure markets.

The Future of Enterprise Software

The traditional SaaS model is under siege:

  • AI Agents as Interfaces: Tasks once handled through UIs are now delegated to AI.
  • Outcome-Based Pricing: Companies like Salesforce and ServiceNow are experimenting with charging for results, not headcount.
  • Data Consolidation: Fragmented SaaS stacks are being replaced by centralized data hubs to feed AI systems.

However, this transformation comes with challenges. Compute-intensive AI workloads increase operating expenses, squeezing margins. Mid-market SaaS companies must reinvent themselves by making AI central to their products, adopting usage-based billing, and cutting underperforming offerings.

This is not just a technology upgrade—it’s a structural shift in how software is built, sold, and valued. The winners will be those who embrace agentic platforms; the losers will be those clinging to a pre-AI era model.

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About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

Expertise

AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
Publications
65+
Credentials
2
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