5 answers
Updated
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What steps are you taking to help members of your team adapt their skillsets in response to AI-driven changes?
What steps are you taking to help members of your team adapt their skillsets in response to AI-driven changes?
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5 answers
Updated
Stephen Henry’s Answer
Start with the problem you want to solve and/or the Job you want done.
Then ask AI (try Google AIStudio or Claude Code (if you have some coding skills).
Or just ask ChatGPT to help you think through how you would solve the problem.
BUT, do not just ask for an answer. Ask it to teach you.
Say you want to learn about <ThatThingThatsBuggingMe>, ask the LLMs (aka ChatGPT, Claude, ...)
"You are an expert in the area of <ThatThingThatsBuggingMe> and also in the Socratic method. Help me think through/learn how to deal with <ThatThingThatsBuggingMe>"
If you don't know what the Socratic method is ask the LLMs ;)
Then ask AI (try Google AIStudio or Claude Code (if you have some coding skills).
Or just ask ChatGPT to help you think through how you would solve the problem.
BUT, do not just ask for an answer. Ask it to teach you.
Say you want to learn about <ThatThingThatsBuggingMe>, ask the LLMs (aka ChatGPT, Claude, ...)
"You are an expert in the area of <ThatThingThatsBuggingMe> and also in the Socratic method. Help me think through/learn how to deal with <ThatThingThatsBuggingMe>"
If you don't know what the Socratic method is ask the LLMs ;)
Updated
Niels’s Answer
Change management is key:
- educate your team on AI potential scope,
- demonstrate the AI capabilities,
- explain how it is built and how it integrates in your day job.
- Keep encouraging people to use the tools,
- measure adoption, share success stories, lead by example.
- identify blockers, early adopters and laggards
- proactively coach people who need help
Identify and use tools that guarantee and protect your data and personal information.
Organize sharing sessions, invite employees to submit ideas for automation.
- educate your team on AI potential scope,
- demonstrate the AI capabilities,
- explain how it is built and how it integrates in your day job.
- Keep encouraging people to use the tools,
- measure adoption, share success stories, lead by example.
- identify blockers, early adopters and laggards
- proactively coach people who need help
Identify and use tools that guarantee and protect your data and personal information.
Organize sharing sessions, invite employees to submit ideas for automation.
Updated
Sarah’s Answer
One of the first steps is starting to understand where your team's current familiarity and skill level is at with AI. That will give you a sense of where gaps exist that you can begin building a learning program that develops AI-related skills and knowledge. From there, decide what outcomes you're hoping your team will achieve and determine your timelines and resources. Once I know what my goals are for my team, then I can backwards plan to create benchmarks or stepping stones on the path towards that end goal. Each benchmark will need to have its own learning goals that all support the final outcome/endgoal you'd like your team to achieve. As a best practice, incorporate real-world tasks to motivate and appropriately challenge learners- ask them to come up with a list of repetitive tasks they do during their work week, and help them brainstorm or test out how AI might be helpful in that situation.
Updated
Sydney H’s Answer
I work on side projects to improve our department's workflow using AI. Once we set up the information and systems, I ask team members to test them and share their thoughts. Their feedback is important because it helps them feel involved in the new processes and ensures the workflow matches their actual needs. Getting everyone on board with changes is often the hardest part, so it's important to keep checking in with them during the transition.
Updated
Jessica’s Answer
Helping team members adapt their skillsets in response to AI-driven changes starts with fostering awareness and curiosity. I encourage ongoing learning through bite-sized resources, peer-led discussions, and scenario-based practice that highlights how AI tools can enhance—not replace—human judgment. We also focus on building transferable skills like critical thinking, adaptability, and digital literacy. Most importantly, I create space for reflection and experimentation so the team feels empowered to explore AI tools and integrate them meaningfully into their work.