Some people think that the emergence of AI will doom software-as-a-service
In actuality, though, it is a chance for astute investors to make a purchase.
Software-as-a-service (SaaS) companies, which offer the digital utilities we use on a daily basis, like Microsoft 365, have long been valued for their steady high returns. They are the cornerstone of many excellent investment portfolios and are renowned for their large margins and steady income. They were viewed by the public as "fortress" companies that could withstand any economic downturn. However, that reputation has been destroyed in the first few months of 2026. Many of the most prestigious companies in the world are now trading at their lowest valuations in years due to a massive wave of selling that has affected the industry.
A growing fear of the AI revolution is the cause of this decline. Many now fear that some of these businesses may be completely replaced by AI."SaaSpocalypse" is how the sell-off has been dubbed. It has caused a significant rift in the market. There are those who think the SaaS sector will always be in decline. The other sees a unique opportunity to purchase excellent companies at a reduced price. Differentiating between a genuine risk and a diversion is difficult. This necessitates knowing where a business truly gains its strength and whether a piece of software is merely a tool that anybody can use.
Software-as-a-service companies worry that AI will destroy their business model.
Software is evolving from being merely a tool to becoming an independent agent. This is undoubtedly the most significant shift in business practices since the introduction of the internet, and its influence may even surpass that of the industrial revolution. Software companies worry that AI will soon undermine their ability to compete. When Anthropic, one of the biggest AI firms in the world, unveiled its newest tools, Cowork, things reached a breaking point.
Issues of BFIA today.
One of the perceived advantages of software-as-a-service companies is the complexity of writing and implementing code. Cowork put this in jeopardy by providing natural language programming. In essence, software can now be created by anyone who speaks clear English without needing to learn how to code. AI has been helping programmers write better code for a few years now, but Cowork goes above and beyond. It can create a tailored tool to handle particular tasks in a relatively short amount of time. Panic was the reaction.
The SaaSpocalypse is attributed to the threat of zero-barrier entry: if a non-coder can speak a project-management tool into existence, then why would they pay for an expensive software system designed by a third party? Instead of viewing SaaS companies' enormous profit margins as a strength, as they had for years, investors saw a target. White-collar jobs like processing invoices are worried about becoming commodities. If an accountant's or lawyer's job primarily involves following a procedure, the software that assists them becomes extremely vulnerable to a quicker and less expensive AI substitute.
This fear, though, may ignore how businesses function in reality. It's possible that the users of Cowork pose a greater threat than the software owners. Because AI is so good at replacing labor-intensive tasks like auditing and conveyancing, we are witnessing a significant disruption in employment. The fintech company Block, whose CEO Jack Dorsey stated that "intelligence tools have changed what it means to build and run a company," is arguably the most extreme example. The company recently announced that it would reduce its workforce from 10,000 to less than 6,000. In the upcoming months and years, numerous similar announcements are likely to be made.
Better or less expensive software does not always replace an established one, despite the obvious threat to employment. This is the point at which the market appears to misinterpret the benefits of being the dominant player. For instance, a company like Sage, which offers accounting software to thousands of small businesses in the UK, is strong for reasons other than its feature set. Instead, the software acts as a system of record, the only reliable source of truth for the most private information a company possesses.
The Sage logo can be seen.
It will be profitable to understand nuance.
Although the software makes up a very small portion of the average Sage user's expenses, their entire internal workflow revolves around it. Making the switch to a less expensive AI-built substitute requires much more than just "vibe coding" a replacement. Vibe coding is a technique where an AI writes code based on a user's description of the "vibe" or desired result of a program in plain English. However, relying on this for critical infrastructure carries a significant risk to the company. A mistake made by an AI-generated tool could have disastrous results. Prior to the development of AI coding tools like Cowork, the process of testing software was more time-consuming and significant than the actual software development.
Additionally, there is the "maintenance trap." Software must be updated over time to accommodate users' evolving needs. Cowork makes it nearly free to build a prototype, but maintaining and securely storing that code is a whole other story. Instead of taking the chance of making mistakes themselves, the majority of businesses would prefer to delegate that task to another organization that complies with applicable regulations. Many people find that a third-party guarantee is more valuable than the money saved by utilizing AI.
Software-as-a-service companies may struggle if they charge on a per-user or per-license basis. Using Block's dramatic staff reduction as an example, a company may determine it needs 50% fewer employees if AI doubles a worker's productivity. This results in a 50% reduction in the cost of software licenses. This presents a challenge for SaaS companies whose revenue is determined by the quantity of users they have. In order to combat this, models based on usage or results will likely replace per-licence pricing. Those who can transition from an individual tool to an enterprise-level system will emerge victorious. The recent sell-off demonstrates that the market hasn't made a distinction between mission-critical infrastructure that is incorporated into business regulations and basic per-licence software.
There are layers to the disruption, but it is real. A new AI start-up can create a better sales tracker, but it won't be able to quickly establish a global network of trained users or years of trust. In the professional services industry, AI frequently replaces only the manual portion of the work. The governance, audit trail, and legal protection are the benefits that the software provider provides. More people are able to create their own tools as "vibe coding" grows in popularity as a method of software development. If these unmanaged tools are not used carefully, they may result in a disorganized data structure. Businesses frequently return to the security of a professional suite where the data is clean and there is a human to call when something goes wrong as a result of this chaos.
It is the responsibility of an investor to determine where protection is maintained in spite of these technical difficulties. AI is undoubtedly lowering software production costs, which may have negative effects on profitability. For large software firms, it is also lowering internal expenses. For instance, a company like Constellation Software can now maintain its products far more effectively. Profit margins may increase as a result, even if growth slows. The market panic has been so severe that it has affected all businesses equally. Investors have an opportunity because of this lack of subtlety. If you look past the news reports about software's demise, there are still long-lasting moats centered around long-term systems of record or mission-critical components of a company. Understanding this really boils down to the distinction between a basic software tool and the necessary infrastructure that a business cannot function without. A company becomes the primary guardian of an organization's data and procedures when it manages its essential but repetitive tasks.
Intuit Manufacturing.
AI has been successfully incorporated into Intuit's operations.
Businesses that are well-positioned to weather the "SaaSpocalypse".
The companies in charge of the main system of records are where the true opportunities lie. These are far more valuable than businesses that merely give employees a tool to complete their tasks. For instance, Sage Group (LSE: SGE) is a prime illustration of a company that is shielded by its position in an organization's regular operations. It offers the payroll and accounting software that small businesses in the UK need. The use of these tools for tax compliance is mandated by law for many businesses. Although the majority of them only pay a small portion of Sage's total costs, switching to a different provider carries a significant risk. Moving years' worth of data is a technical nightmare, and staff members have already received system training. Sage stated at the beginning of 2026 that its new AI tools were saving clients five to ten hours of work per week on administrative duties. This increases the product's importance and should continue to generate consistent revenue from subscriptions.
The largest credit bureau in the world, Experian (LSE: EXPN), handles 1.3 billion data updates each month. Experian's verified credit histories have emerged as a crucial filter for the global banking system in a digital world currently grappling with artificial intelligence-generated false identities. Major banks' lending platforms incorporate its analytical and decision-making tools. In late 2025, the company saw an increase in organic revenue of 8%. Banks are unlikely to replace a reliable data source with unreliable AI models because they require accuracy when making lending decisions. Because it has a sizable dataset that third-party AI models cannot train on, Experian is able to safeguard the company while its internal AI models can enhance the caliber of the analytics it offers.
Hundreds of small, specialized software firms run by Constellation Software (Toronto: CSU) manage vital functions like bus routes and hospital billing. Although the software is typically inexpensive for the client, its significance is enormous. There is little likelihood that a new AI startup will replicate thousands of these specialized workflows. Additionally, Constellation is in a good position to enhance the software it offers at a reasonable cost by utilizing tools like Cowork. Additionally, the company is currently using its funds to purchase small software companies whose prices have dropped as a result of concerns about artificial intelligence. Constellation is converting the market's panic into expansion by applying its own efficiency rules to these new purchases.
Oracle (NYSE: ORCL) is now an essential component of the AI industry and has transcended its previous perception as merely a database company. It manages everything from national banking systems to airline reservations, forming the digital infrastructure of the world economy. Because it contains the crucial private information required for AI to work, it has a significant advantage. With billions going toward upscale data centers, it is also investing heavily in the company's physical operations. Although this enormous expenditure has created some tension in the market, customers tend to stay put because it is so hard to transfer these crucial tasks to another provider.
While Intuit (Nasdaq: INTU) and Sage are similar companies, their geographic exposures differ. With its tax-agent model allegedly assisting in the discovery of additional deductions that business clients were previously overlooking, it has effectively incorporated AI into its operations. The modest cost of its QuickBooks service can be swiftly covered by these savings, which have resulted in an 85% customer retention rate. The primary ledger and payroll system for small businesses is QuickBooks Online. Even though basic accounting technology has become more affordable, the challenge of transferring outdated financial data results in a long-lasting relationship. AI is being further integrated into customers' workflows by Intuit as it moves into live services. This helps shield the company from any revenue loss caused by fewer users of the software. Intuit's software is still essential for smaller and mid-sized businesses, just like Sage.
Relx (LSE: RELX) has evolved from a traditional publisher of journals like The Lancet to a data analytics provider. As the company shifted almost entirely online by 2026, revenue from paper journals fell to just 4% of total sales. Experts verify its legal and medical data, which is stored behind private paywalls. Even if AI agents are employed to analyze the data, this archive is arguably where the value is. Nonetheless, general AI models that could be sufficient for fundamental legal research pose a threat. Relx must ensure that its advanced tools can be differentiated from less expensive, simpler AI solutions.
Similar to Relx, Wolters Kluwer (Amsterdam: WKL) operates in sectors where AI-powered tools account for a sizable portion of digital revenue. In order to make sure that its medical and tax insights can be defended in court, its model employs experts to review the work. The company's high prices are partially justified by the fact that its UpToDate platform is associated with better patient outcomes in hospitals. The company is investing heavily in product development to fend off new AI rivals, but it still needs to spend a lot of money to stay ahead. Although profit margins are predicted to reach 28% in 2026, investors will need to keep an eye on the long-term costs of staying ahead.
Oracle Ltd. postage.
Oracle is now a crucial component of the AI industry.
SAP (Frankfurt: SAP) is currently engaged in a massive project to migrate its enormous global customer base to the cloud. Although this is a difficult and drawn-out process, the results indicate that it is beginning to pay off. The company's primary initiative is RISE with SAP. Because its systems provide the operational framework for large organizations, it is in a favorable position. This is a double-edged sword, though, because its clients are better positioned to create and deploy more affordable customized systems.
Despite being a market leader, Salesforce (NYSE: CRM) is having trouble because its clients require fewer white-collar workers. From a modest base, the company's Agentforce product has expanded rapidly. However, businesses will have to pay less for licenses from firms like Salesforce if AI agents enable one person to perform the tasks of multiple people. AI poses a threat to its conventional method of generating revenue through license fees.
Photoshop's owner, Adobe (Nasdaq: ADBE), is directly in danger. AI-generated content may reduce the value of traditional licenses. Although casual users can now use AI tools for basic design tasks, professional designers still depend on Adobe. As AI tools advance and businesses cut budgets, the value of creative work may eventually decline. The company is forced to use AI to stay relevant, which could negatively impact its own subscription numbers. When more straightforward AI options are widely available, Adobe's task is to demonstrate that the expense is justified.
The best software-as-a-service purchases for investors in the UK.
The Experian logo.
One of the safest options appears to be Experian.
Sage and Experian appear to be some of the safest options for investors in the UK. Sage is directly integrated into the regulations that small businesses in Britain must abide by. Because of this, its software is now a necessary service rather than merely a tool that you can decide to replace at any time. The company is more likely to increase its margins than to lose clients as it transitions to automated accounting. In a similar vein, AI finds it difficult to replicate Experian's massive data barrier. Verified data is crucial in a world where AI-generated fraud is growing in severity. As a result, banks have a safety net.
Oracle is a great option for investing in AI infrastructure outside of the UK without having to pay the exorbitant costs associated with other tech companies. It continues to play a significant role in corporate infrastructure worldwide by managing the database layer and investing billions in actual data centers. It appears that Intuit is also well-positioned to manage this change. Its AI capabilities are already helping its clients save actual money. Lastly, Constellation Software is still a master at acquiring niche companies that are essential to its mission. It is purchasing small companies at a discount by taking advantage of market anxieties. It is feeding its own expansion with the fear.
Without a doubt, AI will alter the way we operate. We are about to enter a period of rapid automation of tasks that depend on a predetermined procedure. But the software industry's recent sell-off was blind. The basic distinction between a basic tool and something essential to the company has been overlooked. You can find top-tier companies at prices that don't reflect their long-term value if you can distinguish between companies that own and provide mission-critical services and those that just sell tools.
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