New Tools, Same Old Problems

What DevLearn reminded us about the problems AI can’t fix on its own

If you’d taken a shot every time someone said “AI” on the DevLearn expo floor this year, you probably wouldn’t have made it to lunch on day one.

To be clear, we’re not taking jabs here. Our own booth was AI-centric, so we were very much part of this imaginary drinking game. We’ll bring the pretzels and dippin’ sauces!

Somewhere around day two, we noticed a clear pattern in the conversations we were having at our booth. Nobody was really talking about brand-new problems.

They were telling us about the same ones Learning & Development has been wrestling with since the dawn of time.

It was a very strange feeling.

Here we were, surrounded by new tools, new language, and new breakthroughs, and yet some of our conversations could have been lifted straight from conferences years ago.

It’s the old Back to the Future problem. There are hoverboards and self-lacing sneakers everywhere, but somehow Biff is still the problem.

So…are we running in place?

Honestly, our first reaction to that was a little deflating.

If the problems haven’t changed, are we all just running in place? But the more we chewed on it, the more we think it says something different. These were never really technology problems.

Every new wave of tools, from the LMS to the year everyone was going to do VR, showed up promising to solve all our problems, and most of them did help with part of the work.

But the problems stuck around because they’re about people, time, priorities, and judgment, and no tool fixes those on its own.

Put down the band-aid

AI is the most powerful tool our industry has ever had, which also makes it the most tempting band-aid to whip out of our first-aid kits.

But doesn’t it make more sense to figure out where the boo-boo is before we start slapping bandages on things?

Here are three conversations from DevLearn that stuck with us.

1. “We’re making more stuff, but people are remembering less of it.”

AI has made content cheap.

A course outline that used to take a week now takes an afternoon, and a first draft of a branching scenario can probably be done before lunch. Hey, that sounds pretty good, eh?

Welp, teams told us they’re producing more than they ever have, and learners are engaging about as much as they used to, if not less. That’s a big problem, friend-o.

We’re dating ourselves here, but when smartphones put a camera in every pocket, the world didn’t suddenly fill up with great photographers. It filled up with ten thousand photos of brunch and sneakers. And the dramatic selfies…my gosh, the selfies.

Taking a picture got easy, and the hard part, knowing what’s actually worth capturing, turned into the valuable part.

That’s kinda what’s happening to our industry right now.

When building a course costs almost nothing, the most valuable skill in the room is knowing when not to build one. When to put down the camera.

That means the bottleneck in L&D has moved from production to judgment, and a lot of teams haven’t rearranged themselves to match that new workflow.

The people who are good at saying “not yet” or “what if we just made a checklist?” used to slow projects down. Now they might be the most valuable people on the team.

Learners can tell

Learners have also gotten very good at spotting AI-generated content.

We don’t have a study to point to, but we have a very strong hunch that some of what isn’t sticking isn’t sticking because it feels like nobody actually made it.

We’ve been noticing for a long time now that there’s an “othering” that happens when it comes to our learners. Like they’re mythical creatures living in the woods that we’ll never be able to truly understand. What COULD they be thinking?!

Hey guys, they’re us. They’re just us.

If you can’t sit through your own course without checking your phone, why should they? Did it make you feel anything at all, or did it feel like it was written by nobody, for nobody?

People can tell the difference between something created for them and something generated at them, and they tend to give the first one a lot more of their attention.

2. “Leadership says they need a course. ”

Ahh, this old chestnut.

This is the classic order-taker problem, and it’s alive and well. Someone senior has decided the issue is a training issue, and the solution is a 30-minute module, due by the end of the month.

It’s a little like walking into your doctor’s office and asking for the specific prescription you saw in a commercial. A good doctor should probably ask a few questions first, even if that medication has the catchiest jingle you’ve heard since “I Wish I Was an Oscar Mayer Wiener.”

AI makes this one trickier too, because now that course really can be built by the end of the month, and probably even sooner than that if they really wanna make it happen.

Which puts a lot of L&D teams in a Jurassic Park conundrum. Like Dr. Ian Malcolm said, “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.”

A lot of what lands on L&D’s desk as a training request is really a process, tool, or incentive problem.

Why everything becomes a course

So why does everything turn into a course?

Partly because a course is the most visible way to show you did something about a problem. It’s something you can point at and say, “Hey, I did a thing! I tried!” A box to be checked.

Fixing a clunky handoff between two departments or a confusing piece of software is way slower and messier, and it doesn’t come with that nice little dashboard. Training becomes the default because it’s the easiest fix to point at, not because it’s the most likely to work.

And then of course, there’s the politics of it all. Pushing back against a senior request can feel like a career-limiting risk. So the order gets taken. And who could blame you in this economy?!

Three questions to ask first

Gently pushing back doesn’t have to be “no.” Before anyone opens an authoring tool, try asking three questions:

  • What should people be doing differently 90 days from now?

  • What’s getting in the way of them doing it today?

  • How will we know it worked?

In our experience, most leaders don’t actually want a course. They want the problem to go away. The course was just the only fix they knew how to ask for.

Which brings us to the question that somehow almost never gets asked. What are we actually trying to accomplish here?

Figuring that out is basically L&D’s superpower, and it’s the easiest way to push back without being a jerk about it. You’re not saying no. You’re helping the person who asked for the course get the win they were actually hoping for. And that just makes them look good too.

People like looking good. So, we've heard!

3. “I’m a team of one.”

Of all the challenges we’ve helped clients tackle in 2026, this one comes up more than any other.

A huge share of L&D happens in teams of one or two, where the same person is the instructional designer, developer, project manager, LMS admin, facilitator, and whoever gets called when a projector won’t connect or something.

Sadly for us poor souls, that’s not new.

What is new are the huge expectations that come with it.

Somewhere along the way, “Now you have AI” turned into:

“Now you can do the work of ten people in half the time. Oh, and make it AI-powered but not too AI-obvious. Wait, can you also make it like super-duper interactive? No, the budget’s not increasing. Actually, we’re lowering it because AI is gonna handle so much of the work for you. Oh, and leadership says no em dashes. Thanks sooo much, buh-bye."

AI raised the ceiling on what one person is expected to produce without adding a single hour to their day. That's plain rude.

What’s actually missing

Teams of one are quite literally missing extra hands, yes. But they’re also missing a sparring partner.

When you’re the only person on a project, there’s nobody to look at your work and tell you it’s doing too much, or kindly point out that you’ve been writing in hieroglyphics for the last two hours due to exhaustion.

Do not be fooled by the echo chamber that is AI, friends. That dude will "look" you right in the face and tell you your ancient Egyptian compliance course is a masterpiece. They might even throw in a few "apparentlys" as an extra bonus!

The biggest gift you can give a team of one is a second brain that’s allowed to disagree with them. And that second brain doesn’t have to be a full-time hire!

It can be a peer in another department, or a freelancer who’s seen a hundred versions of your problem before.

We’ve actually played that role for a team of one at a very large global company, which is a good reminder that even the biggest organizations have people doing all of this stuff on their own.

If you’re a team of one reading this, hang in there. We’d send you one of those cat posters, but you’ll probably be asked to make it interactive.

One last confession

It’s time to break the fourth wall and admit to you that we don’t actually have a high-powered, autonomous AI agent named ChadGPT that designed our DevLearn booth.

We know…it’s a shock. Take all the time you need to process.

Humans made our booth, with a lot of agonizing over “it’s doing too much” or “it’s not doing enough.” And that agonizing is kind of the whole point of this article, too.

AI can hand you a hundred options. Picking the right one for the actual people who’ll be standing in front of it is still very much a human job.

The good news

The problems haven’t changed, which means neither has the value of the people who know how to solve them.

Everything our industry has learned about how adults learn, how organizations change, and why compliance training makes people want to lie down on the floor for a very long time is still true.

That’s the part we like best.

Tell us what’s really going on, messy bits and all, and we’ll work backward from there to figure out what actually fixes it. Sometimes that’s AI, sometimes it’s a course, and sometimes it’s something much simpler.

Biff may still be hanging around, but so are we. And unlike Biff, we promise not to marry your mom in a disturbing alternate timeline.

Did we just make this article weird? Think we did.