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What advice would you give people transitioning in their career who want to prove themselves in an AI driven world?
What advice would you give people transitioning in their career who want to prove themselves in an AI driven world?
4 answers
Updated
Bhagesh’s Answer
My simple advise is to Embrace the Change and Be Future Ready!
In simple terms, CHANCE -> CHANGE -> Learn -> Adapt -> Thrive.
Today's skill landscape rewards curiosity, adaptability, and continuous learning. In this world of constant change, the most valuable skill is the ability to learn, unlearn and relearn. So, your adaptability is your superpower. One who embodies such future-focused mindset doesn't need to worry.
I've a simple 3 steps roadmap for anyone who is looking to sail smoothly in this constant change:
1. Digital Literacy + AI: Learn how to solve problems and create value using digital tools and platforms.
- AI/ML, AGI, LLM, RAG, Software Development, Cloud, Data Science & Analytics, Cybersecurity
2. Business Acumen: Develop skills that will lead to successful outcomes and help achieving business goals.
- Design Patterns, Design Thinking, Data Driven Mindset, Agile Mindset, Customer Centric Approach, Lean Six Sigma
3. Human Skills: Different yourself with the highly sought-after skills for the future
- Adaptability, Collaboration, Communication, Emotional Intelligence, Strategic Thinking
Here's a roadmap that blends practical advice with mindset shifts for one who is Future Ready and want to be the best of breed.
1. Shift from Fear to Fuel - Embrace Change!!
Mindset matters: AI isn’t here to replace you but to amplify you. Those who embrace it as a partner, not a threat, will thrive.
one should think: “How can I use AI to do what I already do—better, faster, smarter?”
2. Learn the Language of AI
You don’t need to become a data scientist overnight, but you do need to speak the language:
Start with Python: It’s beginner-friendly and widely used in AI applications.
Brush up on math: Especially statistics and linear algebra as they’re foundational for understanding models.
Explore AI tools: Get hands-on with platforms like ChatGPT, Copilot, TensorFlow to understand how they work and where they fit.
3. Map Your Existing Skills to AI Roles
AI needs more than coders. It needs communicators, strategists, designers, and domain experts
Your Skillset can get you an AI-Aligned Role. For instance:
Project Management -> AI Product Manager
Technical Writer -> Prompt Engineer
Data Analysis -> Machine Learning Analyst
Visual Design -> AI UX Designer
Domain Expertise -> AI Trainer or Consultant
4. Build Your Brand & Network
Personal branding is your proof of relevance. Share your journey, insights, and experiments with AI tools.
Connect with communities: Join AI forums, LinkedIn groups, or local meetups. Collaboration accelerates learning.
5. Focus on the “Why,” Not Just the “What”. This clarity will guide your learning and make you stand out.
AI will automate tasks, but it won’t replace purpose. Define your “why”:
What impact do you want to make?
How does AI help you get there faster?
6. Become the Best Operator of AI Tools:
Experimenting with AI in your current workflows, Documenting results and sharing learnings and Teaching others how to use it
Why do you need to embrace change? - Here's what experts are prediciting
• "39% of workers’ core skills will change by 2030"
• “73 million jobs will likely be displaced by digital and AI-powered technologies”
• “100 million new jobs will likely emerge requiring advanced human interaction with machines and algorithms”
Believe in yourself in every step you take. Great things take time. People with high grit and great valor never succumb to circumstances.
Arise, Awake and Stop not until the goal is reached.
Cheers!! If my advise aligns to you query, please give a thumbs up. Also, feel free to reach out to me if any help is needed.
Best,
Bhagesh Pant
https://www.coursera.org/resources/guide-to-changing-your-career-to-artificial-intelligence
https://www.weforum.org/publications/the-future-of-jobs-report-2025/in-full/3-skills-outlook/
https://www.statista.com/chart/12082/automation-could-eliminate-73-million-us-jobs-by-2030/
https://www.weforum.org/press/2020/10/recession-and-automation-changes-our-future-of-work-but-there-are-jobs-coming-report-says-52c5162fce/
In simple terms, CHANCE -> CHANGE -> Learn -> Adapt -> Thrive.
Today's skill landscape rewards curiosity, adaptability, and continuous learning. In this world of constant change, the most valuable skill is the ability to learn, unlearn and relearn. So, your adaptability is your superpower. One who embodies such future-focused mindset doesn't need to worry.
I've a simple 3 steps roadmap for anyone who is looking to sail smoothly in this constant change:
1. Digital Literacy + AI: Learn how to solve problems and create value using digital tools and platforms.
- AI/ML, AGI, LLM, RAG, Software Development, Cloud, Data Science & Analytics, Cybersecurity
2. Business Acumen: Develop skills that will lead to successful outcomes and help achieving business goals.
- Design Patterns, Design Thinking, Data Driven Mindset, Agile Mindset, Customer Centric Approach, Lean Six Sigma
3. Human Skills: Different yourself with the highly sought-after skills for the future
- Adaptability, Collaboration, Communication, Emotional Intelligence, Strategic Thinking
Here's a roadmap that blends practical advice with mindset shifts for one who is Future Ready and want to be the best of breed.
1. Shift from Fear to Fuel - Embrace Change!!
Mindset matters: AI isn’t here to replace you but to amplify you. Those who embrace it as a partner, not a threat, will thrive.
one should think: “How can I use AI to do what I already do—better, faster, smarter?”
2. Learn the Language of AI
You don’t need to become a data scientist overnight, but you do need to speak the language:
Start with Python: It’s beginner-friendly and widely used in AI applications.
Brush up on math: Especially statistics and linear algebra as they’re foundational for understanding models.
Explore AI tools: Get hands-on with platforms like ChatGPT, Copilot, TensorFlow to understand how they work and where they fit.
3. Map Your Existing Skills to AI Roles
AI needs more than coders. It needs communicators, strategists, designers, and domain experts
Your Skillset can get you an AI-Aligned Role. For instance:
Project Management -> AI Product Manager
Technical Writer -> Prompt Engineer
Data Analysis -> Machine Learning Analyst
Visual Design -> AI UX Designer
Domain Expertise -> AI Trainer or Consultant
4. Build Your Brand & Network
Personal branding is your proof of relevance. Share your journey, insights, and experiments with AI tools.
Connect with communities: Join AI forums, LinkedIn groups, or local meetups. Collaboration accelerates learning.
5. Focus on the “Why,” Not Just the “What”. This clarity will guide your learning and make you stand out.
AI will automate tasks, but it won’t replace purpose. Define your “why”:
What impact do you want to make?
How does AI help you get there faster?
6. Become the Best Operator of AI Tools:
Experimenting with AI in your current workflows, Documenting results and sharing learnings and Teaching others how to use it
Why do you need to embrace change? - Here's what experts are prediciting
• "39% of workers’ core skills will change by 2030"
• “73 million jobs will likely be displaced by digital and AI-powered technologies”
• “100 million new jobs will likely emerge requiring advanced human interaction with machines and algorithms”
Believe in yourself in every step you take. Great things take time. People with high grit and great valor never succumb to circumstances.
Arise, Awake and Stop not until the goal is reached.
Cheers!! If my advise aligns to you query, please give a thumbs up. Also, feel free to reach out to me if any help is needed.
Best,
Bhagesh Pant
Bhagesh recommends the following next steps:
Updated
Sheetal’s Answer
Adopt a Growth Mindset and Continuous Learning, Forbes echoes this: “The learning gap equals the earning gap”—dedicate time to understanding AI and its applications in your field through courses, workshops, and hands-on projects.
Build AI Fluency and Technical Literacy, leverage AI for career planning, personal branding, and skill matching. Use AI tools to optimise your CV, identify skill gaps, and simulate interview.
Position Yourself as an AI-Orchestrator, Don’t just use AI—integrate it into workflows to amplify your impact. For example, automate routine tasks so you can focus on strategy and innovation. This mindset shift—from executor to orchestrator—is key to thriving in an AI-first workplace.
To prove yourself in an AI-driven world, combine AI literacy with human-centric skills, adopt a continuous learning mindset, and position yourself as someone who can bridge technology and strategy
Build AI Fluency and Technical Literacy, leverage AI for career planning, personal branding, and skill matching. Use AI tools to optimise your CV, identify skill gaps, and simulate interview.
Position Yourself as an AI-Orchestrator, Don’t just use AI—integrate it into workflows to amplify your impact. For example, automate routine tasks so you can focus on strategy and innovation. This mindset shift—from executor to orchestrator—is key to thriving in an AI-first workplace.
To prove yourself in an AI-driven world, combine AI literacy with human-centric skills, adopt a continuous learning mindset, and position yourself as someone who can bridge technology and strategy
Updated
Elliot’s Answer
Hi there! I will try to keep this straight forward and while of course staying abreast of the latest AI trends is going to be important, I would encourage you to develop skillsets on things that AI will struggle to replicate. For example, brushing up on interview techniques, working on your presentation skills. Even as advanced as AI is going to become, there is always going to be a need in the business world for clear and compelling communicators.
Updated
Andrew’s Answer
My biggest piece of advice would be to embrace a growth mindset. Most importantly, stay curious! AI is evolving quickly. Demonstrating a willingness to learn is just as valuable as existing expertise. Additionally, you will need to be adaptable and be willing to build foundational digital and AI literacy. You don't need to become a data scientist, but understanding AI concepts ( machine learning, automation) will help you talk the language of the future. Lastly, see AI as an opportunity. Instead of fearing it as a replacement, make sure to think about how AI can enhance your work and open new doors.
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