“Software is not dying because intelligence has arrived. It is being reborn, moving from tools we operate to agents that help us achieve outcomes.” – MJ Martin
Introduction
Software as a Service is not dead. It is, however, being forced through its most significant transformation since the original cloud revolution. The phrase “SaaS is dead” has become popular in trade headlines because it captures a real anxiety in the software industry. It sells content. Artificial intelligence is changing how software is bought, used, priced, and evaluated. Yet the more accurate conclusion is not that SaaS is disappearing. Rather, the old SaaS model is weakening while a new AI-native model is emerging.
The familiar SaaS formula was built around cloud access, monthly subscriptions, user seats, predictable recurring revenue, and steady feature expansion. For many years, this model rewarded growth above almost everything else. Companies added features, increased headcount, chased new customers, and measured success through annual recurring revenue. That model is now under pressure. Investors, customers, and users are asking harder questions about value, automation, profitability, and measurable outcomes.
What Is Actually Dying?
The first part of SaaS that appears to be dying is the traditional per-seat pricing model. Historically, software companies charged based on the number of employees who needed access. That logic made sense when humans were the primary operators of software. It becomes less convincing when AI agents can perform tasks without logging in like conventional users. Recent market commentary has identified growing pressure on per-seat pricing as AI agents reshape enterprise software consumption.
The second vulnerable category is the feature-heavy but low-value point solution. Many SaaS products were designed to solve one narrow problem inside a larger workflow. In an AI-enabled environment, those narrow tools risk being absorbed into larger platforms that can automate entire processes. Customers may no longer want ten small applications when one integrated system can interpret data, trigger actions, generate reports, and complete tasks across departments.
The third weakening model is non-profitable growth. The era of inexpensive capital allowed many SaaS firms to grow quickly while postponing profitability. In today’s environment, that approach is much harder to defend. A software company must now prove not only that it can attract users, but that it can create durable value, retain customers, and generate sustainable margins.
The SaaS Awakening
What is replacing traditional SaaS is not simply better software. It is software that acts. Agentic AI moves beyond the copilot model, where software assists a human, toward autonomous agents that execute workflows. Instead of asking a person to click through screens, enter data, and move information between systems, the application can increasingly perform those tasks directly. Salesforce describes Agentforce as autonomous AI that can answer questions, take actions, and support employees and customers around the clock.
This shift also changes pricing. If software is doing work, customers will increasingly expect pricing to align with the work completed. Usage-based and outcome-based models are therefore becoming more attractive. A customer service platform, for example, may eventually charge for successful resolutions rather than for the number of licensed users. RSM Canada has similarly argued that agentic AI is pushing SaaS vendors toward outcome-based pricing.
Vertical SaaS is also becoming more important. General-purpose tools are easier for AI-native platforms to replicate or absorb. Industry-specific systems, by contrast, retain value because they understand workflows, compliance requirements, terminology, customer expectations, and operational constraints. In sectors such as utilities, health care, finance, construction, and municipal operations, deep domain fit matters.
Why SaaS Is Not Dead
The strongest evidence that SaaS is not dead is market growth. Fortune Business Insights estimates that the global SaaS market was valued at about US$315.68 billion in 2025 and projects growth to about US$375.57 billion in 2026. That is not the profile of a dead industry. It is the profile of an industry being reorganized.
Enterprise SaaS also remains central because it holds mission-critical data. Customer records, billing information, asset histories, service logs, contracts, compliance records, and financial data do not vanish because AI becomes more capable. In many cases, AI agents need SaaS platforms because those platforms remain the system of record. The future is therefore not a clean replacement of SaaS, but the embedding of AI agents into existing and new software architectures.
Summary
SaaS is not dead. The older version of SaaS is dying. Per-seat pricing, shallow point solutions, excessive feature bloat, and growth without profitability are under attack. The future belongs to AI-native, agentic, integrated, and outcome-oriented platforms. Software is moving from a place where humans perform work to a place where intelligent systems execute work on behalf of humans.
The better phrase may be that SaaS is becoming Agentic Application as a Service. In that model, the value is not access to software. The value is completed work, verified outcomes, and intelligent automation built around trusted enterprise data. SaaS is not ending. It is waking up.
About the Author:
Michael Martin is the Vice President of Technology with Metercor Inc., a Smart Meter, IoT, and Smart City systems integrator based in Canada. He has more than 40 years of experience in systems design for applications that use broadband networks, optical fibre, wireless, and digital communications technologies. He is a business and technology consultant. He was a senior executive consultant for 15 years with IBM, where he worked in the GBS Global Center of Competency for Energy and Utilities and the GTS Global Center of Excellence for Energy and Utilities. He is a founding partner and President of MICAN Communications and before that was President of Comlink Systems Limited and Ensat Broadcast Services, Inc., both divisions of Cygnal Technologies Corporation (CYN: TSX).
Martin served on the Board of Directors for TeraGo Inc (TGO: TSX) and on the Board of Directors for Avante Logixx Inc. (XX: TSX.V). He has served as a Member, SCC ISO-IEC JTC 1/SC-41 – Internet of Things and related technologies, ISO – International Organization for Standardization, and as a member of the NIST SP 500-325 Fog Computing Conceptual Model, National Institute of Standards and Technology. He served on the Board of Governors of the University of Ontario Institute of Technology (UOIT) [now Ontario Tech University] and on the Board of Advisers of five different Colleges in Ontario – Centennial College, Humber College, George Brown College, Durham College, Ryerson Polytechnic University [now Toronto Metropolitan University]. For 16 years he served on the Board of the Society of Motion Picture and Television Engineers (SMPTE), Toronto Section.
He holds three master’s degrees – in business (MBA), communication (MA), and education (MEd). As well, he has three undergraduate diplomas and seven certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 80 next generation MOOC (Massive Open Online Courses) [aka Micro Learning] continuous education programs in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.