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AI -Entry level Strategy Consulting role

What should you learn about AI for junior Strategy Consulting role (entry-level), how it helps and what resources can help learning. 

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Evelina
Coach
on Jun 26, 2025
EY-Parthenon (7 years) l BCG offer holder l 97% success rate l 30% off first session l free 15' intro call l LBS

Hello, 

Great question — for an entry-level strategy consulting role, having a solid business understanding of AI (not technical expertise) can really set you apart, especially as AI becomes core to client strategies.

Focus on:

  1. AI Basics – Know the fundamentals: machine learning, neural networks, generative AI (like ChatGPT), and key terms like supervised learning.
  2. Business Use Cases – Understand how AI is used across industries (e.g., automation, personalization, predictive analytics).
  3. AI Strategy & Ethics – Learn how companies think about implementing AI, and the risks (e.g., bias, governance, explainability).
  4. Current Trends – Stay up to date on major AI developments and how consulting firms are helping clients adapt.
  • Allows you to contribute to tech-driven strategy projects
  • Enables smart conversations with clients and technical teams
  • Makes you valuable on cross-functional engagements from day one

Some resources you could use:

  • Courses:
    • AI for Everyone – Andrew Ng (Coursera)
    • Elements of AI – Free, beginner-friendly
    • Generative AI – DeepLearning.AI (Coursera)
  • Insights:
    • McKinsey’s State of AI reports
    • BCG, Bain, Deloitte articles on AI in business
    • HBR and MIT Tech Review for ongoing trends

You don’t need to code — just be fluent in how AI creates business value. That’s what clients and partners are looking for.

Let me know if you need any further advice.

Best,

Evelina

Alessa
Coach
on Jun 26, 2025
xMcKinsey & Company | xBCG | +200 individual & group coachings | feel free to schedule a 15 min intro call for free

hey there :)

for an entry-level strategy role, I would focus on how AI creates business value, not just the tech itself. understand basics like generative AI, use cases across industries, data strategy, and AI-driven efficiency or personalization. key is to speak about AI in a strategic, not technical, way. good free resources: Harvard Business Review on AI, McKinsey’s AI Insights, and Google’s AI for Everyone course. keep it business-focused!

best, Alessa 😊

Phenyo
Coach
on Jun 26, 2025
Ex-McKinsey Consultant | Nova Top Talent - Madrid | McKinsey HiPo recruit | McKinsey Digital & Analytics
Agree with Alessa.
As someone who worked in McKinsey Digital practice across sectors, unless you are super technical (I.e., Quantum Black), your best foundation is on the business side of technology as that is the level at which the strategic conversations take place. When you shift into implementation, then you can go a bit more in depth
Hagen
Coach
on Jun 26, 2025
#1 recommended coach | >95% success rate | 9+ years consulting, interviewing and coaching experience

Hi there,

I would be happy to share my thoughts on your question:

  • Contrary to what other coaches have said, I would strongly advise against overdoing preparations for AI tools for one simple reason: most major consulting firms have their own tools. While most of these tools are based on OpenAI's solutions, a solid understanding of ChatGPT should suffice to become proficient in a relatively short time. And please keep in mind that you will also receive an introduction to these tools during the onboarding process.

If you would like a more detailed discussion on your specific situation, please don't hesitate to contact me directly.

Best,

Hagen

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