That's the gap. And it's closing faster than most people realise.
Artooma didn't come from the tech world. It came from someone who got obsessed.
When ChatGPT launched, the algorithm figured me out fast. I have ADHD, and novelty is fuel - this was the most interesting thing the internet had produced in years. Research papers, capability benchmarks, debates about what AI could and couldn't do without a human in the loop. I went deep. I'm still going deep - but through a different lens now. The further in you go, the harder it is to ignore how this is already affecting people, and how much further it will go.
What became clear early, and still holds: the core of how these systems work hasn't changed much. They just keep getting better, at a pace most people aren't tracking.
The assumption, somewhere in all of that, was that everyone else was going down the same rabbit holes. They weren't. Bring it up at dinner or in a work conversation and the knowledge was always the same: it writes things, it does images, it's kind of smart. Nothing about what that means for specific jobs, specific people, sitting right there at the table.
That's when it started to feel like a problem worth doing something about.
There's a lot of noise about AI taking over everything. Most of it is wrong, or at least wildly premature. Systems that operate independently, handle ambiguity the way humans do, make judgment calls without a person behind them - that's not what exists today. The people driving outcomes at work still matter.
What is happening, right now, is different. Companies have figured out that AI is useful enough to justify cutting teams and asking whoever's left to absorb the extra work. That's not a prediction. It's already the playbook at organisations most people would recognise. The people it hits usually don't see it until they're already in it.
When the economy has room, people pay more for the human option - they want to support the person behind the work. When it tightens, that changes fast. People buy the cheaper product because they have to. And to offer that product, businesses cut costs wherever the math works.
We've seen this before. Entire departments moved overseas during the outsourcing wave to save up to 70% on payroll. Companies didn't hesitate. AI is now dropping the cost of knowledge work the same way. The people who moved early during outsourcing kept their options. The ones who waited had fewer choices.
The pattern is the same. And right now, you're still ahead of it.
I spent five years in a classroom making difficult concepts land for people with no prior context for them.
That's not a career footnote - it's the core of what Artooma does. The same approach that made abstract theory understandable for students is how workforce research gets translated into something you can use. You don't need to understand how a large language model works. You need to understand what it means for your situation.
The risk most people are underestimating is the gap between where they think they stand and where they stand.
Artooma exists to close that gap. Honest assessment, no hype, steps you can act on before the situation forces your hand.