Adapt or Fade: Upskilling in the Age of AI

Watch the full session recording [here].

‍

‍

Don’t Be the Last One Standing

More than 4,000 carriage makers once operated in the U.S. Today, only one name is remembered: Studebaker. Not because they led the shift to cars, but because they were the one company that survived it.

That was the opening of our recent Training Industry webinar. Not a history lesson. A warning.

AI is that kind of moment.

The difference between companies that thrive and those that fade? It won’t be who buys AI tools first. It’ll be who builds the systems to actually use them.

AI Tools Are Easy. Change Is Hard.

Cursor hit $100M in under a year.

Microsoft is building AI tutors for every student.

Agencies are delivering video ads without actors or crews.

These aren’t glimpses of the future. They’re snapshots of the present.

What matters isn’t whether you’re using AI. It’s whether your people are.

So Who Needs to Be Ready?

At Guidde, we think about adoption through four roles:

• The end user: On the front lines of change. They're not just learning new tools, they're adjusting how they make decisions, solve problems, and collaborate with AI as a teammate.
  
  
• The team-level change agent: This person sets the tone. They champion adoption, share wins, and build momentum from the ground up.
  
  
• The technical enabler: Often in IT or ops, they’re the ones who evaluate, implement, and integrate tools so that they’re actually usable day to day.
  
  
• The AI coworker: Yes, even your AI needs training. Without the right context, workflows, and feedback loops, it’s just another underused feature.
  
  
  

If one of these roles is missing, momentum slows. Confusion spreads. Tools go unused.

Real adoption requires alignment, not just access.

OK, How Do I Actually Enable My Team?

Information isn’t the problem. Most teams have more of it than they know what to do with.

The real challenge is timing: helping people act on what they’ve learned exactly when they need it.

Traditional training sits outside the flow of work. But adoption happens inside it.

That’s why we built Broadcast, to deliver step-by-step video guidance directly inside the tools your teams already use.

It’s all about the right support, at the right moment.

Success Looks Different Everywhere

Define it, don’t assume it:

• Support teams might track AI-resolved cases
  
  
• Marketing may focus on output velocity
  
  
• HR could watch time-to-productivity
  
  

What matters is that each team can test, measure, and improve based on their own AI maturity.

Don’t Be the Case Study

Netflix didn’t wait for streaming to become the norm. Blockbuster did.

The teams that come out ahead in this shift won’t be those who react. They’ll be the ones who enable.

AI is not a tech trend. It’s a behavior change problem.

And that’s where leadership starts.

Want to help your teams actually adopt AI?

‍
Explore Guidde

‍