2026 is the year AI agents actually work.
And it will fundamentally redefine SaaS as we know it.
Here's the shift:
We're moving from "software as a service" to "service as software." Instead of humans using tools, agents will USE the tools autonomously.
Within 1-2 years, we'll see the first zero-human companies. No employees. Just agents handling sales, ops, support, finance, and engineering.
So what do we actually need to get there?
→ Agent-native infrastructure (auth, memory, orchestration)
→ Reliable tool-use & multi-step reasoning
→ Trust & verification layers: humans need to audit agent decisions
→ New pricing models: usage-based, outcome-based, not seat-based
→ Governance frameworks for autonomous business entities
The SaaS playbook is being rewritten in real time.
References worth reading:
- @a16z on "Services-as-Software" flipping the $4.6T services market
- @sama: "we are now confident we know how to build AGI"
- @Anthropic shipping computer-use agents & MCP protocol
- @cognaborist Y Combinator W25: 25% of batch writing code with AI
The companies that adapt will 100x. The ones that don't will vanish.
#AI #SaaS #AIAgents #FutureOfWork #Startups
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Is technical acumen becoming a commodity?
I doubt it.
Due to the fact that competitors have access to what you have access to and probably more resources
So how would you be on top of your time and resources? You need help.
Based on this, we need more specialists
#openai
@awilkinson Honestly, Managed ones like Webflow, Framer are great if you have a non-technical team. Astro or Next are great if you want to thinker or you have the capacity to extend. one such way is (Claude -> MCP Github -> Pull request to .mdx blog -> human approval -> Nextjs is updated)
@kiwicopple Well done Paul and team. As an outsider but a customer of both platforms I’d say you have done an amazing job in customer happiness in terms of experience, ease of integration and availability. But would be great to hear your thoughts on some of your GTM playbooks