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The Threat of Agentic AI: A $234 Billion Software Revenue at Risk

The business landscape is on the brink of a seismic shift as agentic artificial intelligence (AI) threatens to disrupt traditional revenue models in enterprise software. According to a forecast by Gartner, spending on software could be jeopardized by up to $234 billion by 2030, which accounts for almost 20% of the projected expenses for Software-as-a-Service (SaaS) by that time.

Understanding Agentic Arbitrage

The disruption stems from a concept known as “Agentic Arbitrage.” This phenomenon means that AI agents will perform tasks across different systems, significantly reducing the need for users to interact with various traditional software application interfaces. As a result, the existing user-based billing models may no longer be applicable. “Agentic AI is reshaping the economic foundations of the software industry,” said George Brocklehurst, Managing Vice President at Gartner.

The Declining Importance of User Interfaces

These agentic systems can provide results directly, bypassing traditional applications that prioritize user experience, essentially rendering the software itself obsolete. This shift breaks the previous connection between user growth and revenue growth for many enterprise software providers. The narrative of a potential “SaaSpocalypse” has circulated for some time, leading to significant declines in stock prices for numerous software companies. However, Gartner analysts assert that this does not signal the end of the software industry, but rather a transformation in how software is developed, priced, and utilized.

Shifting Expectations: Results Over Interfaces

An essential aspect of this transformation involves changing customer expectations. Businesses are likely to place less emphasis on acquiring new tools or dashboards, instead focusing on achieving better results. The significance of user interfaces as differentiating factors will diminish. Instead, the aim will be to develop systems for orchestrated agentic workflows that can capture and maintain customer context and institutional knowledge over time. Established SaaS providers that fail to keep pace with these changes risk losing their market share.

Future Revenue Models Based on Measurable Outcomes

Gartner’s perspective on the software market is echoed by the Digital Association Bitkom, which believes that the industry must prepare for a significant overhaul of its business models. Going forward, software will likely be sold less based on working hours or blanket licenses and more on measurable outcomes. Bitkom attributes this shift to the expected increased use of AI agents, which will fundamentally alter how value is defined in the software space.

Conclusion: Embracing the Future

As agentic AI continues to evolve, organizations must adapt their strategies to thrive in this rapidly changing environment. The focus will shift from traditional metrics to measurable results that align with the needs and expectations of customers. Companies that embrace this transformation and pivot their business models accordingly may find new avenues for growth, while those that remain fixed in old paradigms could face existential threats. The journey toward this brave new world of software is just beginning.

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