The end of the app era: What comes next?
Nate Jones argues that as agents take over the "information processing" part of jobs, the software application interface stops being where value lives — and that breaks how companies buy and sell SaaS. He walks through how Meta (Muse), Salesforce (COA + agent control plane), Microsoft (Autopilot/Copilot), the labs, DoorDash (text ordering + MCP), Crust Data and Workday are each positioning across three layers: data, application/workflow, and agentic. His practical advice: individuals should stop hoarding their personal AI tricks and talk openly about how they work, because leadership will swap vendors without knowing what productivity they're destroying.
- Agents erode single-purpose SaaS tools: once an agent pulls the data and drafts the output, you stop opening the app, and the trained agent (with your undocumented context) becomes harder to replace than the software it displaced.
- The useful framework is three layers — data, application/workflow, and agentic — and individuals, buyers and vendors all need to articulate their position on each one.
- Being reachable by an agent (MCP server, API) is table stakes in 2026-27; it gets you considered but doesn't explain why anyone should keep paying you.
- DoorDash's September 30 text-ordering launch plus its MCP beta shows the pattern: they want the order whether you use their assistant, someone else's, or never open the app again.
- Salesforce is stacking data, distribution, an agent gateway/control plane, and its own CRM-tuned reasoning model COA (announced September 15, in pilot, trained on synthetic data) — and partnering with Claude because buyers demand optionality.
- The application layer isn't dead; it decomposes into interfaces (which may vanish) and workflows (which can be very valuable) — Workday's payroll agent works precisely because compliant payroll rails sit underneath it.
- Crust Data's two-person recruiting client built a custom Claude skill on Crust Data's APIs instead of buying a packaged recruiting tool, showing data providers can move up the stack and co-build workflows.
- Employees who keep their AI workflow secret for review scores are exposed: a CFO switching vendors over token cost can wipe out weeks of accumulated context nobody documented.
It's the clearest concrete statement of the video's core thesis, grounded in a real September 30 product launch.
Either way, DoorDash wins even if you never ever ever touch their app experience again. So losing that moment in the interface doesn't mean losing the customer transaction and doesn't mean losing the customer value.
The most actionable, counterintuitive career advice in the video, with a specific mechanism for why secrecy backfires.
If you have a special trick, there is a temptation to say it's my special trick. It keeps me productive. I get a good score on my annual review. I don't want to talk about it... Don't do that because you're going to lose out if they switch out the vendor.
Being reachable by an agent in 2026 and 2027 is going to get you considered in the conversation. It is table stakes. It does not establish why someone ought to keep paying you.
The old tools that were single-purpose are getting easier to leave, and the agent you trained on is getting much harder to leave.
Agents are forcing us to vertically integrate stack... and everyone is now a decision maker.