AI is changing SaaS partnership economics by making custom software development a growth driver.
Custom development is gaining ground beside referrals
A typical SaaS referral deal gives a partner 10–15% of first-year revenue. Futurum Research’s 2H 2026 partner survey found that 71% of active partners named custom application development as a primary growth driver. The contrast points to two different ways partners can contribute: sending a customer to a software provider, or helping build an application around that customer’s needs. The survey figure puts development at the centre of partner growth, rather than treating it as an occasional add-on.¹²
AI coding agents have reduced the cost and time required to build software, and coding tools can generate entire applications. That changes what a partner can offer alongside a SaaS product: development work becomes more accessible when tools can produce software faster. Replit has been used to build softwaremetrics.ai, one example of a software project made with a coding platform. The facts describe a lower-cost route to building; they do not establish that every application can be built without specialist work or customer input.¹²
That changes what a partner can offer alongside a SaaS product: development work becomes more accessible when tools can produce software faster.
The opportunity is in adapting AI to specific workflows
AI agents can execute research, analysis, report generation, reconciliation and customer service workflows across systems. AI can also automate workflows that once took place inside SaaS products. Together, those capabilities create a practical opening for partners: connect an agent to a real business process and shape how it operates, rather than offering only access to a general-purpose tool. The difference is the work around the automation—adapting a workflow to its users, systems and rules.¹²
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Read More →A bank may need an AI-assisted compliance workflow with escalation paths and audit evidence. A hospital system may need an intake process that respects privacy, system permissions and clinical review. A law firm may need clause triage with firm-specific limits on what an agent can recommend. These examples show why a working agent alone may not meet an organisation’s needs: the process also has to observe the organisation’s controls and review requirements.¹
Market repricing reflects pressure on software economics
In January 2026, Anthropic released Claude Cowork and Claude Code. Roughly $300 billion in market value evaporated across software companies in a single trading session, while the average forward earnings multiple for software companies fell from roughly 39x to about 21x within a few months. Those figures capture a sharp change in how investors valued software businesses as AI capabilities advanced. They describe the market reaction; they do not, by themselves, show that every software company’s business model stopped working.²
The pressure has a product-level mechanism as well as a market one. When AI agents can perform work that customers previously completed inside SaaS products, software providers face competition over the workflow itself. The effect is not limited to products built by established vendors: tools that generate applications can also make it easier to create alternatives. Software stocks have sold off sharply, with billions in market value evaporated, as that change has challenged assumptions about the economics of software.²
The competitive field now includes smaller builders
The SaaSpocalypse did not start with a recession or a major SaaS failure. An early signal appeared in late 2024, when Klarna replaced Salesforce CRM with an internally developed AI system. Salesforce CEO Marc Benioff dismissed the panic during the SaaSpocalypse narrative, but the example illustrates the underlying issue: a company may consider building a system internally when AI changes the cost of creating software. The choice puts pressure on vendors and partners to offer value beyond access to a product.²
SaaS had been one of the most attractive business models in technology for two decades. The competitive comparison now includes the lower-cost publishing model that WordPress made possible for blogs, alongside the possibility of AI-assisted software creation. Some industry leaders describe the landscape as Not one shark, but thousands of piranhas. For founders, the partner opportunity is to combine software access with custom applications and workflow adaptations that address specific organisational needs.¹²
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Read More →For founders, the partner opportunity is to combine software access with custom applications and workflow adaptations that address specific organisational needs.¹²
Build custom workflows, not just software
If you work with SaaS products, the partner survey points to a concrete shift: 71% of active partners now name custom application development as a primary growth driver, while a typical referral deal pays only 10–15% of first-year revenue. That gap suggests your earning potential rises when you move from sending customers to a vendor toward building applications around their needs. AI coding agents have cut the cost and time of building software, and tools can generate entire applications, so the barrier to entry is lower than before. The practical move is to pair product access with development work you can price above a referral fee.¹²
The market repricing also changes what you should ask for in pay. Software stocks lost roughly $300 billion in one trading session, and the average forward earnings multiple for software companies fell from about 39x to about 21x within a few months. That compression means vendors face pressure to justify their value, which gives you leverage to negotiate for a share of custom development revenue rather than a flat referral cut. Focus on workflow adaptation, since AI agents can execute research, analysis, report generation, reconciliation, and customer service workflows, and organisations need those processes shaped to their controls and review requirements. That skill is where the value now sits.¹²
Sources
Written by Career Ahead AI. AI can make mistakes, so verify key facts. Report errors to support@careeraheadonline.com
