What’s It About?
The market research firm Gartner forecasts a dramatic change in the SaaS market: by 2030, up to 234 billion dollars in software spending could be redistributed or rendered superfluous through the use of autonomous AI agents. The reason: companies are increasingly relying on AI systems that independently handle tasks across various applications – without human users needing traditional user interfaces.
Gartner calls this phenomenon ‘Agentic Arbitrage.’ In it, intelligent agents take over the control of business processes and communicate directly with various software systems via interfaces. Classic user-based licensing thereby loses relevance, as fewer human users need direct access to the software.
Background & Context
The development calls into question the foundation of the previous SaaS business model. Traditionally, software licenses were sold based on the number of user seats (seat licensing). Companies invested considerably in user-friendly interfaces and training to increase acceptance among employees. With the emergence of autonomous AI agents, however, the focus shifts from the human user to the machine actor.
These AI systems deliver business results directly, without the need for elaborate user guidance or training. This also shifts the basis for evaluating software: instead of usability and interface design, API quality and actual business value move to the foreground. CIOs must adjust their procurement strategies accordingly and increasingly examine how well software solutions are suited for use with AI agents.
Another critical aspect concerns knowledge management. Gartner introduces the so-called ‘Knowledge Retention Rate’ (KRR) as a new metric that measures how much of the knowledge generated by AI agents actually remains within the company. If the knowledge stays mainly with the software provider, a new form of vendor dependency looms that could limit companies’ innovation and flexibility.
What Does This Mean?
- License models must be rethought: User-based licensing loses importance when AI agents take over the work of many human users. Software providers face the challenge of developing new pricing models.
- API-first becomes the standard: The quality and openness of programming interfaces becomes the decisive competitive factor. Software must increasingly be optimized for machine interaction, not just for humans.
- New vendor lock-in risks emerge: If the knowledge and insights that AI agents generate are stored primarily with software providers, a problematic dependency arises for companies.
- Procurement criteria change fundamentally: IT leaders must in future also evaluate software by how well it works with autonomous agents and what business value it delivers directly.
- Governance requirements increase: Companies must establish clear rules for how AI agents may use software and how the knowledge generated in the process is secured.
Sources
Gartner: Agentic AI gefährdet SaaS-Umsätze in Milliardenhöhe (Computerwoche)
Gartner warnt vor Agentic Arbitrage (IT-Daily)
Agentic AI puts $234B in enterprise SaaS spending at risk, Gartner says (CIO.com)
Gartner reckons AI agents will swipe $234B from software vendors by 2030 (SDxCentral)
This article was created with AI assistance and is based on the listed sources as well as the language model’s training data.
Further Reading: From Text Generator to Digital Employee: How AI Is Changing the World in Four Stages