The SaaS market isn't dying; it's splitting. While legacy SaaS stocks falter, a 'Cambrian explosion' of new, AI-native B2B companies is thriving. Founders must align with this 'wired' category, as the market for 'grandpa's software' is vanishing.
An API is no longer enough; it must be optimized for AI agents. This means enabling high-volume calls and structured outputs that AI can easily consume. New agentic products will be built on the most accommodating platforms, leaving others behind.
Unlike last year's efficiency-driven cuts, the current wave of layoffs is a strategic reboot. Companies are shedding roles not adaptable to the 'agentic age' to aggressively hire talent that can build with and for AI, signaling a fundamental workforce shift.
Customer expectations for seamless, context-aware AI are breaking down departmental silos. Users will demand a single agentic interface for all needs, forcing companies to blend sales, marketing, and support functions and creating unexpected competitive overlaps.
Concerns about AI hallucinations are outdated for well-trained systems. The emerging challenge is that hyper-efficient agents will complete tasks so fast they sit idle most of the day, forcing companies to fundamentally rethink agent utilization and workload.
While the market for traditional SaaS exits is frozen, upcoming mega-IPOs (OpenAI, Anthropic) and potential $100B acquisitions will create unprecedented wealth. This capital influx will lift market sentiment and create new opportunities across the entire tech ecosystem.
The quality of interaction trumps the medium. Customers will choose a highly-trained, instantly responsive AI agent that solves their problem over a human who is slow, new to the account, or provides a subpar experience. This establishes a new bar for customer service.
Founders waiting for a cyclical economic rebound to save their non-AI products are mistaken. The market has permanently shifted. There is no new budget for old workflows; all net-new enterprise spend is being directed toward AI-native or AI-enhanced solutions.
The fantasy of using simple prompts to code complex apps like Salesforce is over. The real, immediate value comes from building agentic AI that automates high-value outcomes *within* existing platforms, like having a CRM autonomously book sales meetings.
Foundation models like Claude 4/5 and new OpenAI versions provide a massive, free performance boost. If your B2B product hasn't leveraged these advancements to become markedly better in the last three months, you are falling behind your competitors.