The SaaSpocalypse? What AI Actually Means for the Future of Business Software

AI is changing how software is built and used. But for most businesses, the bigger opportunity may be making existing systems work better. Earlier this year, the software industry and the investors who own shares in these companies were hit by a wave of concern that AI could fundamentally disrupt SaaS. SAP’s stock fell more than 15% in a day, while roughly $1-2 trillion in software market value was wiped out over the following weeks. If AI can automate work that once required people to log into software, companies may need fewer software seats. If AI can generate software quickly, businesses may find it more practical to build certain tools themselves instead of buying them. And if new AI-native companies can move faster than established software companies, some long-standing products could eventually lose their advantage. But the discussion around the so-called “SaaSpocalypse” can make the situation sound more immediate and universal than it actually is. The businesses most likely to be affected are those where AI can meaningfully change how the software is used or how the work gets done. But that does not mean SaaS as a whole is disappearing. The impact will depend on how deeply a product is embedded in a business, how difficult it is to replace, and whether AI creates a better way to solve the underlying problem. The SaaSpocalypse is better understood as a shift in the economics of software. AI may put pressure on some software businesses while making other products more valuable and creating new opportunities for companies that use it effectively.

AI Does Not Erase the Value of Software Overnight

Consider an ERP system. An ERP system is connected to financial processes, operational workflows, reporting, employee responsibilities, data, and often regulatory requirements. Replacing it is not simply a matter of building a better interface or generating some new code. A business has to move its data, update processes, train employees, maintain the system, document how it works, and make sure the transition does not disrupt the business. For companies with significant financial or regulatory responsibilities, there is another consideration: accountability. People are ultimately responsible for the information their businesses report and the systems they rely on. That makes replacing a proven system with something new and untested a much bigger decision than simply choosing a newer piece of technology. That is especially true for deeply embedded systems such as SAP and Oracle. ERP, CRM, and other established systems can still change significantly as AI becomes more capable. In many cases, that change is likely to happen incrementally. AI can already improve parts of these systems through better automation, analytics, forecasting, and other capabilities. Over time, some of those improvements may reduce the amount of manual work required to operate them. The system does not necessarily disappear. The way people use it changes.

How AI Could Change Existing Software

AI could change the value of existing software without eliminating the software itself. A company may already have years of customer data, established workflows, trained employees, and systems that its business depends on. AI gives that company another capability it can add to the foundation it already has. That can mean automating repetitive work, improving access to information, supporting better decisions, or creating new ways for employees and customers to interact with existing systems. For a business leader, the important question becomes less: “Will AI replace our software?” And more: “Where can AI change how we use our existing software?”

AI Changes the Economics of Building Software

AI is also changing the economics of building software. When organizations can design and test digital tools quickly and with fewer resources, it can become more practical to build software for specific needs instead of buying an off-the-shelf product. This dynamic creates genuine friction for traditional software providers. Operations that previously demanded specialized vendor applications can now be automated, adapted, or constructed internally. Meanwhile, smaller entrants can penetrate market niches that were historically cost-prohibitive to pursue. This is one reason AI has raised concerns about the future of SaaS. If software becomes cheaper to build and easier to customize, established software companies may face more competition from smaller software companies and from businesses building tools for their own needs. Yet, reduced technical barriers do not mean that established platforms automatically become obsolete. Software providers must still understand customer pain points, address critical requirements, and deliver long-term value. In a market where software is becoming easier to build, understanding what customers actually need becomes even more important.

What Protects Established Software?

What makes software difficult to replace often has little to do with the code itself. A company may have years of data, established workflows, customer relationships, industry knowledge, and systems that are deeply connected to how the business operates. All of that can make switching to something new difficult. This is especially true for software tied to financial processes, daily operations, security, or regulatory requirements. Building a new prototype may be relatively easy, but replacing a system that contains years of data and supports important business processes can create significant risk. That is why the market reaction to AI does not affect every software company in the same way. Software is more exposed when AI can directly take over the work it supports. Other software may become more valuable if AI makes the product more useful without replacing the system itself. Healthcare is a good example. A small healthcare company can use AI to build and improve software faster while still relying on established tools such as Vanta for SOC 2 and HIPAA compliance. AI can make development faster, but businesses still need reliable systems, strong processes, and accountability when the software supports important or regulated work.

What the SaaSpocalypse Could Actually Mean

The market reaction points to a real change in the software business, even if the “SaaSpocalypse” label makes that change sound more immediate than it is. AI is putting pressure on SaaS in two ways: it can make some software easier to replace, while also making established software more capable. That means the impact will vary depending on how deeply a product is embedded in a business, how difficult it is to replace, and whether AI can change the work the software supports. The result is likely to be a more competitive SaaS market rather than the disappearance of SaaS. Some software companies may face pressure as customers find cheaper or more flexible alternatives, while others may use AI to strengthen the products and systems their customers already rely on. For business leaders, the important question is where AI is actually changing the value of the software they buy, build and use.

What Business Leaders Should Consider

For business leaders, the question is where AI can improve the way their business operates and where it may make a different approach more practical. Consider:

• Which parts of our existing software could AI make more useful?
• Which repetitive tasks could be automated, and where does it now make sense to build a tool ourselves?
• What advantages does our existing software have through data, workflows, or industry knowledge?
• Which systems would be difficult or risky to replace, and where is human judgment still important?

Every business will have different answers. Some software may face more pressure as AI changes how certain tasks are done. Other software may become more useful as companies add AI to the systems they already rely on. The opportunity is to understand where those changes can create real value for the business.

Building Software for What Comes Next

The shift happening in software is not about the industry disappearing. It is about how software is built, used, and improved. AI can help companies build faster, improve existing products, and create tools that were previously too expensive or time-consuming to develop. At Olio Apps, we help organizations build, improve, and adapt software as their needs change. That can mean building custom software, adding AI to existing systems, or making targeted improvements without disrupting the systems a business already relies on. We start with the business problem and look for where technology can make a real difference. That might mean speeding up development, improving an existing product, or making a new idea practical to build. The goal is simple: use technology where it creates real value for the business and the people who rely on it.