AI is transforming the software-as-a-service (SaaS) industry. A single employee equipped with AI agents can automate or accelerate the work of multiple colleagues, increasingly challenging traditional per-seat licensing models. This is forcing both SaaS vendors and enterprise customers to rethink their software strategies.
On March 9, 2026, ecosystem officially Microsoft 365 E7 on, a new enterprise suite with integrated AI functionalities. The suite will be available from May 2026 and combines traditional Microsoft 365 E5-functionality with AI tools such as Microsoft 365 Copilot and capabilities to manage AI agents for workflow automation and increased productivity. Read more background and details in our blog: Microsoft 365 E7 Official: Microsoft 365 E7 officially launched: licensing, costs, and AI integration explained.
Why traditional licensing models are under pressure
The classic per-seat pricing model assumes that each user makes a specific contribution. AI agents change this dynamic: a single user can automate or combine tasks previously performed by multiple users, potentially reducing the number of required licenses in some situations.
Some companies have also developed internal AI solutions that partially automate or replace certain SaaS functionalities.
This development could have financial consequences. For years, SaaS vendors could count on predictable revenue, but customers are increasingly reconsidering how many licenses they actually need. This creates a stronger focus on cost optimization and the strategic use of software licenses.
New ways to license software
SaaS vendors are experimenting with alternative pricing models, such as premium per-seat pricing for AI-augmented users, usage-based pricing based on actual use (e.g., workflows or API calls), and agent-based licensing, where AI agents are managed as separate digital entities and potentially licensed separately.
These models require a different view of value: software is no longer just sold per user, but can also be tailored to usage, automation or the productivity enabled by AI agents.
Which SaaS tools are most vulnerable?
Not all software is affected equally. Point products, such as survey or form applications, may be most at risk because AI can easily replicate or automate certain functionalities.
Analysts expect AI to replace or consolidate some of these specialized tools. According to Gartner research, approximately 35% of point-product SaaS tools could be replaced or incorporated into AI agent ecosystems by 2030.
More complex systems, such as systems of record, platforms with network effects, and comprehensive enterprise software, generally have a lower risk of replacement. These tools will likely evolve to integrate AI functionality rather than be completely replaced.
Document generation, templates, and simple project management tools can also be susceptible to AI-based automation, while more complex project management systems retain their value through integrations, governance, and process management.
Who will remain relevant in the AI era?
SaaS platforms with strong data foundations, network effects, and compliance requirements are likely to have the greatest chance of survival.
Systems of record such as Salesforce, Workday en ServiceNow remain important because AI agents rely on structured enterprise data.
Platforms with network effects such as LinkedIn of GitHub Retain their value through their large user bases and ecosystems. Vertically oriented SaaS that comply with specific regulations or industry requirements also pose a defensive barrier against AI-native alternatives.
AI Agents as a new software layer
AI agents form a new layer between user and software. Users need to interact less directly with individual applications; the AI agent manages workflows, generates insights, and can perform actions within existing systems.
Enterprise adoption is accelerating. Platforms like OpenAI Frontier demonstrate how organizations can deploy AI agents that interact with enterprise data and applications, automating tasks previously performed manually across multiple SaaS tools.
This has implications for software costs and license management, but also offers opportunities to work more efficiently.
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AI is increasingly influencing the SaaS model. Per-seat licensing remains dominant for now, but organizations and vendors are exploring new ways to measure software usage and value.
The introduction of Microsoft 365 E7 demonstrates that major software vendors are increasingly integrating AI capabilities into their platforms. At the same time, companies are experimenting with AI agents and automation to make workflows more efficient.
Forward-thinking organizations are closely monitoring license usage, evaluating alternative pricing models, and preparing for a potential shift toward more usage- and automation-based software strategies.
For independent advice on optimizing software licenses and managing licensing costs more efficiently, please contact BeSharp Experts. We're happy to help you find the most cost-effective licensing solutions and implement licensing strategies that align with the AI-driven future of SaaS.