About
I’ve spent most of my career figuring things out while they were changing.
The work
I’m EJ Moreland. I’ve worked in games since August 1994, with 15+ years in production, program, and operations roles where the plan rarely survives intact for very long.
I’ve led teams and products through early development, soft launches, global releases, live operations, organizational changes, and the ordinary chaos that comes with getting complicated work done across a lot of people. I’ve worked at Netflix Games, Azra Games, Boss Fight, EA, and smaller studios before them.
I’m comfortable in that kind of environment. Maybe because I’ve been watching technology change the rules for most of my life.
I was five when the first wave of mass-market home computers arrived. I watched the internet go from something strange and new into infrastructure. Then came social networks, cloud computing, smartphones, and all the changes around them.
The technology
AI feels bigger to me.
I was skeptical of generative AI for quite a while. I didn't begin using it seriously in my professional work until late 2025, when I was at Azra. The company was unusually encouraging about AI. People were given room to experiment, learn what it was good at, and figure out where it could actually help in their work.
So that's what I did.
I started by trying things, getting things wrong, finding things that were genuinely useful, and gradually incorporating AI into the way I worked.
It changed my mind.
I now think AI is an extraordinarily powerful tool, and we're still very early in understanding what people will do with it. That excites me. It also worries me.
There is enormous money, power, and competitive advantage at stake. Companies and countries have strong incentives to move quickly. History doesn't give me much confidence that we'll slow down and make careful decisions when somebody else might get there first.
There are other dangers too. AI makes it much easier to generate content and information that look credible when they aren't, along with a lot of slop. At scale, that can distort what people see and reward. Someone can look talented or credible simply because clipped content has saturated the feed, and that changes what people make, share, and believe.
I don't know what we're going to unleash. I suspect we'll regret some of it.
That makes me want to understand this technology better, not retreat from it.
Learning in public
I’m doing that in public here: writing, researching, building things, testing ways of working with AI, and trying to understand where it genuinely expands what I can do and where my own judgment stops being enough.
I want to be able to do good work again.
I'm an experienced operator looking for what comes next in my career. AI is new to me, and I don't want to pretend I deserve that AI label just yet. I also don't want to discard everything those years taught me and start over as though none of it is transferable.
I've spent a career working around ambitious products, talented people, incomplete information, changing plans, hard deadlines, competing priorities, and decisions that eventually have to survive contact with reality.
I'm interested in what that experience is worth in AI work, where judgment, coordination, and decisions made with incomplete information still matter.
This site is partly how I'm finding out.
Some of the writing will come from settled experience. Some will be me changing my mind in public.
I don't have a grand theory of where AI takes us.
I'm learning.
Get in touch
Let’s talk.
