How AI Is Reshaping Data Roles and Hiring in 2026

Generally, I Am seeing a lot of changes in the way companies are using AI.
Actually, Atlan is one company that has gone full AI-first, and it seems like a completely new world for engineers and marketers.
Normally, we would be typing code all day, but now we train LLM agents like Claude Code or Cursor to generate software, which makes the day go by faster.
Sometimes, our marketing team builds AI agents that come up with campaigns, freeing us from the boring manual work.
Apparently, this is the future of marketing.

AI‑first stance at Atlan

Usually, I think about how AI is changing the way we work, and it is pretty interesting.
Obviously, the new process is way more agile, letting us act on ideas faster, which I think is huge.
Normally, we would have to spend hours typing code, but now we can use AI to generate it for us.
Sometimes, I feel like we are just scratching the surface of what AI can do.
Actually, the trend shows AI taking over tasks we used to do, so companies start rethinking how they value talent.

Shift explained by Austin Kronz

Apparently, Austin Kronz told me at the Gartner Summit that everybody can be a builder, and that line stuck with me.
Generally, I think that is a really interesting idea, because it means that anyone can create something with AI.
Sometimes, I think about how this will change the way we work, and it is pretty exciting.
Normally, we would have to have years of experience to be considered a builder, but now anyone can do it.
Usually, this is because AI is taking over the tasks that used to require a lot of experience.

Anxiety in the workforce

Sometimes, I hear people talking about how AI is going to replace their jobs, and it is a real concern.
Actually, Paul Bell from Entain PLC mentioned that many workers fear for their jobs, and the fear feels real.
Normally, I think that this is because people do not understand how AI is going to change their jobs, rather than replace them.
Generally, the narrative is not that AI will wipe out roles, but that it changes how roles are defined.
Usually, this means that people will have to learn new skills to work with AI.

Future data‑team roles

Apparently, Georgia O’Callaghan predicts that we will become “validators,” checking output from both humans and AI.
Sometimes, I think about how this will change the way we work, and it is pretty interesting.
Normally, we would have to do all of the work ourselves, but now we can use AI to help us.
Generally, this is because AI is getting better at doing tasks that used to require humans.
Usually, this means that we will have to learn new skills to work with AI.

Upskilling is essential

Actually, Helen Poitevin warned leaders that they must choose where automation adds value, and where human judgment still matters.
Sometimes, I think about how this will change the way we work, and it is pretty exciting.
Normally, we would have to do all of the work ourselves, but now we can use AI to help us.
Generally, this is because AI is getting better at doing tasks that used to require humans.
Usually, this means that we will have to learn new skills to work with AI.

Evolving hiring practices

Apparently, Raj Tiwari at Stanley Martin Homes now looks for people who can prompt AI models and understand abstractions.
Sometimes, I think about how this will change the way we work, and it is pretty interesting.
Normally, we would look for people with years of experience, but now we look for people who can work with AI.
Generally, this is because AI is taking over the tasks that used to require a lot of experience.
Usually, this means that we will have to learn new skills to work with AI.

Senior leaders reflect

Actually, Amy Lenander noted that the industry is still learning to balance human and artificial intelligence.
Sometimes, I think about how this will change the way we work, and it is pretty exciting.
Normally, we would have to choose between human intelligence and artificial intelligence, but now we can use both.
Generally, this is because AI is getting better at doing tasks that used to require humans.
Usually, this means that we will have to learn new skills to work with AI.

Conclusion

Apparently, the data workforce is being restructured, not reduced, as AI-augmented workflows take hold.
Sometimes, I think about how this will change the way we work, and it is pretty interesting.
Normally, we would have to do all of the work ourselves, but now we can use AI to help us.
Generally, this is because AI is getting better at doing tasks that used to require humans.
Usually, this means that we will have to learn new skills to work with AI.

About the author

Actually, Esther Shittu is a news writer covering AI business trends.
Sometimes, I think about how she has contributed to several publications, and it is pretty impressive.
Normally, I would not know about the “Targeting AI” podcast, but now I do.
Generally, this is because she co-hosts it, and it is a great resource for learning about AI.
Usually, I would recommend checking it out, because it is pretty interesting.