What do marketers actually need to learn to be ready for an agentic future? | Community
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LaurenClev
Community Manager
Community Manager
June 22, 2026

What do marketers actually need to learn to be ready for an agentic future?

  • June 22, 2026
  • 2 replies
  • 98 views

Last week, Adobe hosted a two-day hands-on event where a group of Adobe Champions observed and learned from how AI agents work together to solve real marketing challenges, through orchestration, collaboration, and sometimes competition, across research, creative, content, campaigns, and customer experience.

 

The AI demonstrations were genuinely inspiring. But what was almost even more interesting was the conversation happening around it -- the questions that kept coming up about what marketers actually need to learn, why it matters for their organizations, and how we help people build real AI fluency, not just familiarity with the tools.

 

So I'm curious: what's helped you build real confidence with AI at work? Was it hands-on experimentation, peer learning, structured training, something else entirely?

 

Whether you're just starting to explore what AI means for your role or you're already figuring out how to bring your team along, I'd love to hear what's actually worked for you.

 

And to our Founding Pit Crew who were in the room last week, ​@AutumnE ​@LizzieSc ​@OK18 ​@RadSud1 ​@anishraul ​@AnishRa1 ​@alysha_khan23 ​@victoriabey ​@ajnav ​@MaryAlice_Orr ​@ravitejas ​@TylerKrause ​@Wilson-Faure ​@christel_guidon ​@mbr4n, I'd especially love to hear your perspective.😊

Drop it in the comments below. 👇

2 replies

mbr4n
Level 2
June 24, 2026

For me, the biggest lesson has been that AI fluency isn’t just built through training - it’s built through curiosity.

 

Getting hands on, asking better questions, challenging outputs, and learning alongside peers has done more for my confidence than any single course or demo. The technology moves fast, but the real skill is learning how to think with it, not just use it 😊

Level 2
June 24, 2026

I think a lot of AI enablement skips straight to the tool and misses the problem. The people I've seen build real confidence didn't start with "here's what AI can do" they started with a specific pain point, found out AI could help, and then went deep from there. I think that the order really matters,  relevance first, then the capability second.

For most people, the agentic stuff can feel abstract until it's tied to something real. And there's an extra layer to work through, a lot of people aren't just uncertain about the technology, they're quietly worried it's coming for their job, not just their to-do list. Once you get past that and show someone AI actually making their work better, the question shifts from "should I be learning this" to "what else can it do for me."