Safeguarding SaaS Success in the Changing AI Market
The key to survival is not only adapting to AI but also actively building context and integrating these technologies into their offerings.
Crunchbase AI News·

Reports of “SaaS being dead” are misguided, writes guest author Bob Morse, who contends that AI will enable software companies to move beyond selling productivity tools to deliver knowledge-work outcomes directly, unlocking massive unmet demand for services, ultimately growing the software industry.
Read full articleThe key to survival is not only adapting to AI but also actively building context and integrating these technologies into their offerings.
With the rise of agents, many people have been proclaiming that the age of software as a service (SaaS) is over. Who needs to subscribe to a service when you can create your own software with a few English-language prompts and a few dollars spent on tokens? Your own software, most likely a skill that […]
The rise of generative AI (genAI) technology has prompted a growing debate about the future of software-as-a-service (SaaS) business models. Some of the fears are overblown: enterprises are unlikely to vibe-code their own applications to replace their SaaS suppliers anytime soon, while software vendors have yet to see per-seat sales fall off due to mass automation of white-collar jobs. (In fact, some now predict the opposite will happen.) At the same time, AI has the potential to change the way work is carried out, with AI agents empowered to interact with software applications on behalf of users. For software vendors, that could mean a future where applications are accessed less through traditional user interfaces as AI agents connect via APIs. It’s an inevitable shift, says Box CEO Aaron Levie, and one that requires software vendors to adapt their existing products and business models to prepare for agent workflows. Computerworld recently spoke with Levie about how Box — and other
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Bain & Company has estimated a US$100 billion market in the US for SaaS companies using agentic AI. The firm said the market is tied to automating coordination work in enterprise systems. The estimate comes from the second report in Bain’s five-part series on the software industry in the age of AI. The report examines […] The post Bain sees US$100 billion SaaS market in agentic AI automation appeared first on AI News.
Microsoft and Google are adding new controls for AI agents, as enterprise IT teams try to keep up with tools that can access corporate data and act across business applications. Microsoft’s Agent 365, made generally available for commercial customers on May 1, is designed to help organizations discover, govern, and secure AI agents, including those operating across Microsoft, third-party SaaS, cloud, and local environments. Google’s new AI control center for Workspace, announced this week, focuses more specifically on giving administrators a centralized view of AI usage, security settings, data protection controls, and privacy safeguards within Workspace. The timing reflects a shift in enterprise AI use. Many companies are no longer just testing chatbots, but are beginning to use agents that can reach corporate systems and carry out tasks on behalf of users. Analysts said the shift changes how CIOs and CISOs should think about AI agents inside the enterprise. “By placing agent controls