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When everyone has AI and the company still learns nothing

robert-glaser.de

31–40 of 298 posts

Re: When everyone has AI and the company still learns nothing

#31

Great article. The part that stood out to me is the shift in how organizations define work. In the old model, performance and OKRs were anchored in disciplines, job titles, and role-specific expectations. In the AI era, those boundaries are starting to collapse. The deeper issue is psychological and organizational: people are constantly negotiating the line between “this is my job” and “this is not my responsibility.…

If they create a system to compensate expert AI users wouldn't that career have a problem in that anyone (enticed by the new careers existence and) integrating their advice on any company particulars with a (weeks) more modern approach is basically putting them in the role of domain expert being eliminated.

Re: When everyone has AI and the company still learns nothing

#32
post #6

The post hits the nail on the head with the messy middle. There is simply no motivation to develop this sort of intelligence loop as a dev who has their own responsibilities which their job depend on. Management can ask as nicely as they want, but I’m not going to selflessly share my productivity gains with the broader company for free. I might share a tool if it’s useful. All the learning of how to wrangle AI or set…

It kinda racks my brain how a lot of people don't think this way. For example, way before the current state of AI, I wrote my own CLI to make aspects of my job easier and easier to write scripts to automate; some colleagues have noticed my tool and said I should share it, and my diplomatically worded answer is no. I don't share it with anyone because of the negative return in both supporting it and everyone else being able to be as productive as I am. Moreover, leadership will not recognize my ingenuity as an asset, hence no added job security. No way am I going to help my company out of the goodness of my heart to be potentially let go anyway in the near future.

If developers are worried about their jobs with the way the market currently is, they should treat their personal workflows as trade secrets. My example was not specific to AI, but it applies just as much to AI workflows. In a worker's market, it was sometimes fun to share that kind of knowledge with an organization. In an employer's market, they can pay me if they want access to my personal choices.

Re: When everyone has AI and the company still learns nothing

#33
As a 3 year retired Systems Analyst I feel bad for my younger colleagues. In 2023 I was one of the first in my team to use AI to untangle some legacy code that did something mission critical with Perl and whose original author had long ago left and apparently didn't understand anything about actually commenting code or documentation. We were all in awe of this new technology that got us out of a bind. But more and more it looks less like a tool that is available to you instead of something that is being _done_ to you. Nobody asked for this.

At what point is inspiration and thought just devalued and worthless in the name of doing things instantly. The work has no soul.

Re: When everyone has AI and the company still learns nothing

#34
It’s been helpful for me to look at the promise of AI by comparing with the dotcom boom. Lots of similarities.

But the internet was a simpler concept for businesses. Basically it was you can now sell to people from their computers. AI’s promise is what? It can approximate reasoning about things? This is much more challenging implementation puzzle to truly solve.

I don’t know that I’ve seen anything of real substance outside coding tasks yet.

Re: When everyone has AI and the company still learns nothing

#35
post #7

In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…

> Large enterprises need to learn how to ship software faster They haven't even learned that "less code is better" yet, I wouldn't hold my breathe waiting for them to suddenly learn "more advanced" things like that before they learn the basics.

More code means more support and more maintenance. If your team is already overloaded or if it's going to be reduced because of AI, things are going to get tough.

Re: When everyone has AI and the company still learns nothing

#36
post #7

In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…

"release train" ... "learn how to ship software faster"

SAFe is poison.

Re: When everyone has AI and the company still learns nothing

#37
post #7

In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…

> Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc.

So much of Management (both mid and executive) still considers Software as if it were an assembly line; "We make software just like how Ford makes cars". Code as a product.

Which isn't to say that most software development isn't woefully inefficient, but the important bits aren't even considered. "The Work" is seen as being writing code, not the research that goes into knowing what code has to be written.

And for AI marketing, this is almost a videogame-esque weakspot. Microsoft proclaims "50% faster code!" and every management fool thinks "50% faster product; 50% faster money!"

> Large enterprises need to learn how to ship software faster if they want to lock in ROI on their token spend.

It's going to be a disaster once ROI is demanded. Right now everyone is fine with not measuring it; Investors are drunk on hype and nobody within the company actually wants to admit that properly measuring software development productivity is almost impossible.

But the hype won't last forever. Sooner or later investors will see the "$2M spend" and demand "$4M net profit", and that's not going to materialize.

Copilot and Claude won't be tackling the real bottlenecks. They're not going to dredge up decade old institutional knowledge, they won't figure out whether code looks bad because it is bad or because it solves a specific undocumented problem, they won't anticipate future uses.

Code just isn't the product. Not the real work. Really, if your codebase is in a healthy state, it's often a literally free output of the design and research processes. By the time you've refined "our procurement team finds the search hard to use" into a practical ticket, the React component for the appropriate search filters has basically already been written, writing up the code is just a short formality. Asking Copilot would turn a 10 minute job into a 5 minute job. Real impressive, were it not for the 6 hours of meetings and phone calls that went into it.

Re: When everyone has AI and the company still learns nothing

#38

Great article. The part that stood out to me is the shift in how organizations define work. In the old model, performance and OKRs were anchored in disciplines, job titles, and role-specific expectations. In the AI era, those boundaries are starting to collapse. The deeper issue is psychological and organizational: people are constantly negotiating the line between “this is my job” and “this is not my responsibility.…

Well, that's fine until your teammate does all of those things by default and gaps show up between them and the rest of the team.

Re: When everyone has AI and the company still learns nothing

#39
post #6

The post hits the nail on the head with the messy middle. There is simply no motivation to develop this sort of intelligence loop as a dev who has their own responsibilities which their job depend on. Management can ask as nicely as they want, but I’m not going to selflessly share my productivity gains with the broader company for free. I might share a tool if it’s useful. All the learning of how to wrangle AI or set…

It kinda racks my brain how a lot of people don't think this way. For example, way before the current state of AI, I wrote my own CLI to make aspects of my job easier and easier to write scripts to automate; some colleagues have noticed my tool and said I should share it, and my diplomatically worded answer is no. I don't share it with anyone because of the negative return in both supporting it and everyone else bein…

What are your thoughts on open source? Seems like the same problem writ large

Re: When everyone has AI and the company still learns nothing

#40
There are some improvements on coding and speed of developers, but more broadly in the enterprise AI is just producing a lot of slop that folks are getting fed up with.

AI content has a look and feel people sense immediately.

It’s amazing to see how quickly things shifted from “wow this is so cool, AI is going to change everything” to folks calling out “you lazy bum, this just looks like some slop you threw together with AI… let’s get some real thinking please.”

We are firmly heading into “trough of disillusionment” territory on the hype cycle.

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