I don’t see AI helping with knowing what to build at all and I also don’t see AI finding novel approaches to anything.
Sure, I do think there is some unrealized potential somewhere in terms of relatively low value things nobody built before because it just wasn’t worth the time investment – but those things are necessarily relatively low value (or else it would have been worth it to build it) and as such also relatively limited.
Software has amazing economies of scale. So I don’t think the builder/tool analogy works at all. The economics don’t map. Since you only have to build software once and then it doesn’t matter how often you use it (yeah, a simplification) even pretty low value things have always been worth building. In other words: there is tons of software out there. That’s not the issue. The issue is: what it the right software and can it solve my problems?
And there are no computer professionals who haven’t heard about hallucinations.
Reviewing whether the code meets requirements through manual and automated tests - and that’s all I cared about when I had a team of 8 under me - is the same regardless. I wasn’t checking whether John used a for loop or while loop in between my customer meetings and meetings with the CTO. I definitely wasn’t checking the SOQL (not a typo) of the Salesforce consultants we hired. I was testing inputs and outputs and UX.
AI is not capable yet of automating my job completely – I anticipate this will happen within two years, maybe even this year (I’m an ML researcher).
People are also non deterministic. When I delegate work to team of five or six mid level developers or God forbid outsourced developers, I’m going to have to check and review their work too.
It’s been over a decade that my vision/responsibility could be carried out by just my own two hands and be done on time within 40 hours a week - until LLMs
Maybe I'm just as naive as those who said that photographs lack the soul of paintings. But I'm not 100% convinced we're done for yet, if what you're actually selling is thinking, reasoning and understanding.
Some will have to crash and burn their company before they realize that no human at all in the loop is a non sense. Let them touch fire and make up their mind I guess.
> In 2025, 1.1 million layoffs were announced. Only the sixth time that threshold has been breached since 1993. Over 55,000 explicitly cited AI. But HBR found that companies are cutting based on AI's potential, not its performance. The displacement is anticipatory.
You have to wonder if this was coming regardless of what technological or economic event triggered it. It is baffling to me that with computers, email, virtual meetings and increasingly sophisticated productivity tools, we have more middle management, administrative, bureaucratic type workers than ever before. Why do we need triple the administrative staff that was utilized in the 1960s across industries like education, healthcare, etc. Ostensibly a network connected computer can do things more efficiently than paper, phone calls and mail? It's like if we tripled the number of farmers after tractors and harvesters came out and then they had endless meetings about the farm.
It feels like AI is just shining a light on something we all knew already, a shitload of people have meaningless busy work corporate jobs.