TL;DR
AI is a capability amplifier. Those who engage compound. Those who don't fall behind fast.
Context - knowing how your organization actually works - is your edge. AI is powerful but generic. The person who combines domain knowledge with AI becomes dramatically more valuable. Stitchflow is pivoting entirely to make IT teams AI-native: ~100 deep integrations, browser automation, and end-to-end workflow intelligence.
AI is coming for knowledge jobs
Every AI article you've read in the last two weeks has been about the same thing. Jobs disappearing. Skills becoming obsolete. The machines are coming for knowledge workers.
I agree with them. I think they're right.
I've been using AI tools seriously for the last 6 weeks. My team has too. Everyone has scaled their capabilities. Sometimes it's 2-3x. But we've also seen 10x or more - people designing entire systems in hours that would have taken teams weeks. Not because they became better engineers overnight - because they figured out how to combine what they already knew with what AI can do.
And once you see it, you can't unsee it. A good chunk of knowledge work - the repetitive, manual, follow-the-steps kind - has to evolve. It's not a question of whether. It's a question of how fast.
Capability amplification and the K-shaped split
What we've clearly observed is that AI is a capability amplifier. The people who engage with it, even a little, start compounding. They build one thing, see what's possible, build another. Within weeks they're thinking differently. Within months they're doing work that wasn't possible before.
The people who don't engage fall behind. Not slowly. Fast. Because the gap between "I built a system that handles this automatically" and "I'm still doing it manually step by step" isn't an efficiency difference. It's a different category of work entirely.
This is the K-shaped split. I don't know if the people who adapt are going to be safe forever. But I know the people who don't adapt are going to struggle. And I know that right now, the people who figure this out aren't just keeping their jobs. They're doing the best work of their careers.
What you have going for you: context
One thing that gets lost in the doom. You have something AI doesn't have. Context.
You know how your organization actually works. You know what matters this quarter and what's noise. You know which process is documented and which one lives entirely in someone's head. You know the edge cases, the exceptions, the judgment calls that don't fit in a playbook. Most of that isn't written down anywhere. It lives in your head.
AI is powerful but generic. It can reason and act across systems, but it doesn't know your company. It doesn't know your processes, your policies, your people. The person who combines what they know with what AI can do becomes dramatically more valuable. Not because they work faster, but because they can do things that weren't possible before.
I'm not going to tell you that AI will never figure out context. It probably will. But right now there's a window where the people who know how things actually work AND know how to use AI are in the strongest position they've ever been in. And even if that window closes eventually, the skill you build - thinking in systems, designing workflows, orchestrating AI - that's portable. It works at any company, in any function. You're not just becoming better at your current job. You're becoming the kind of person who knows how to build with AI.
The asymmetric bet
Even if I'm wrong about the timeline, even if this takes longer than I think, the expected value of taking this seriously is only positive.
I'm not saying quit your job. I'm saying: go use some free tools and give AI a problem you've been solving manually. Watch what it does. Take your most annoying recurring task and try to automate it.
If I'm wrong, you wasted a few hours. If I'm right, you gave yourself a massive head start on the most important career transition of your life.
What Stitchflow is doing about it
I believe in the growth of AI enough that we're pivoting Stitchflow entirely to serve it. Not to sell IT teams automation. To enable IT teams to become AI-native.
AI lets you take a complex, multi-step process - one that involves humans, SaaS tools, Slack messages, browser tabs, spreadsheets, and tribal knowledge - and turn it into a single intelligent workflow that actually finishes. Offboarding, license optimization, user access reviews. The kind of work that touches 30+ apps and takes hours of manual effort. AI can navigate all of it end to end, across every app including the ones without APIs, and flag only the exceptions that need your judgment.
At Stitchflow, we spent 3 years building the infrastructure to make that real - ~100 deep integrations, read and write, secure, auditable. Plus browser automation for the apps that don't have APIs. With AI to assist with build, everything is possible now.
But we're not just shipping automation. We know that some people are going to need help becoming AI-native. Learning how to think this way. So we do that too. We sit down with you, build the first workflows together, and make sure you walk away knowing how it works and how to extend it.
We are betting the company that you are going to need this.
Go
The people who figure this out first don't just keep their jobs. They graduate from executing tasks to designing systems. They become the person the CEO asks about AI strategy. They do work that's more interesting, more impactful, and more portable than anything they've done before.
Go play with the tools. And when you're ready to see what your IT work looks like when it's AI-native, we'll show you.
Frequently asked questions
AI-native means using AI not as a bolt-on tool but as the foundation of how you work. Instead of manually executing multi-step processes across dozens of apps, you use AI to design workflows which handle the execution end-to-end and surface only the exceptions that need human judgment.
Jay has been serving modern IT teams for more than a decade. Prior to Stitchflow, he was the product lead for Okta IGA after Okta acquired his previous ITSM company, atSpoke.
