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How to Be Prepared in the AI Age for a Graduate/Intern Role in Big 4
by Canary Wharfian•November 27th 2025
Join the conversation
Preparing as a Graduate for the Big Four in the AI Era
Step-by-Step Preparation Guide
As the Big Four firms (Deloitte, PwC, EY, and KPMG) redefine professional services through AI integration—automating routine tasks, launching AI assurance services, and shifting toward tech-driven models—graduates face a more competitive landscape with reduced entry-level hires. Traditional accounting roles are evolving, with AI handling up to 90% of audits and data processes, creating demand for hybrids of technical expertise, human-centric skills, and adaptability. While firms have cut graduate intakes (e.g., KPMG by 29% in 2023), opportunities exist in emerging areas like AI ethics, bias auditing, and strategic advisory. To position yourself effectively, focus on a balanced skill set that complements AI, rather than competes with it.
Core Skills to Develop Firms now prioritize candidates who can leverage AI as a tool while excelling in areas it can't replicate, such as critical thinking and interpersonal dynamics. Here's a breakdown:
| Category | Key Skills | Why It Matters | How to Build It |
|---|---|---|---|
| Technical & AI Proficiency | AI tools (e.g., machine learning basics, generative AI like ChatGPT), data analytics (Excel, SQL, Python), predictive modeling. | AI automates repetitive tasks like data entry and compliance, freeing focus for strategic analysis; firms seek tech-savvy grads to integrate AI into workflows. | Take online courses (e.g., Coursera on AI for business or Python for data analysis); practice with real datasets on platforms like Kaggle; experiment with AI for tasks like summarizing financial reports. |
| Analytical & Strategic Thinking | Interpreting data patterns, financial forecasting, risk assessment, understanding global economics (e.g., tariffs' impact on reporting). | With AI providing raw insights, humans add context and decision-making; essential for FP&A and advisory roles. | Pursue case studies in accounting programs; join university AI clubs; analyze real-world scenarios, like using AI to predict market trends. |
| Soft Skills & Human Elements | Communication, collaboration, grit, personality; ethical reasoning in AI applications. | AI can't build client relationships or handle nuanced judgments; experiences like team sports or volunteering demonstrate resilience. | Highlight extracurriculars on resumes; practice presenting AI-generated insights; volunteer or work part-time in customer-facing roles. |
| Adaptability & Continuous Learning | Embracing change, AI fluency (e.g., prompt engineering, automation tools like Zapier). | The industry is shifting rapidly; grads who view AI as a partner stand out. | Earn certifications (e.g., Google Data Analytics or AI ethics courses); stay updated via podcasts or journals like CPA Journal. |
- Strengthen Your Foundation: If pursuing accounting, opt for programs integrating AI and data analytics into the curriculum—top schools are adapting with case studies and tech partnerships. Consider a Master's in Accounting or related fields to apply knowledge strategically. No coding experience? Start with beginner-friendly resources.
- Gain Practical Experience: Build a portfolio showcasing AI applications, such as automating financial models or auditing AI biases in mock scenarios. Intern at smaller firms for hands-on work, as Big Four entry-level roles shrink. Participate in hackathons or projects involving AI in finance.
- Network and Apply Strategically: Tailor resumes with keywords from job descriptions (e.g., "AI assurance," "data visualization"). Optimize LinkedIn with certifications and endorsements; attend career events or use referrals. Apply broadly, including midsize firms for experience before targeting Big Four.
- Explore Emerging Opportunities: Focus on AI-specific niches like assurance services (verifying AI fairness and compliance), which are growing as regulations like the EU AI Act demand third-party audits. This could differentiate you in a market where traditional roles are disrupted.
- Mindset Shift: Don't fear AI—embrace it to boost efficiency. Commit to lifelong learning, as firms track AI engagement in performance reviews. With global AI markets projected to hit $800 billion by 2030, skilled graduates who blend human insight with tech will thrive.
How to Be Prepared in the AI Age for a Graduate/Intern Role in Big 4
by Canary Wharfian
November 27th 2025
Join the conversation
Preparing as a Graduate for the Big Four in the AI Era
Step-by-Step Preparation Guide
As the Big Four firms (Deloitte, PwC, EY, and KPMG) redefine professional services through AI integration—automating routine tasks, launching AI assurance services, and shifting toward tech-driven models—graduates face a more competitive landscape with reduced entry-level hires. Traditional accounting roles are evolving, with AI handling up to 90% of audits and data processes, creating demand for hybrids of technical expertise, human-centric skills, and adaptability. While firms have cut graduate intakes (e.g., KPMG by 29% in 2023), opportunities exist in emerging areas like AI ethics, bias auditing, and strategic advisory. To position yourself effectively, focus on a balanced skill set that complements AI, rather than competes with it.
Core Skills to Develop Firms now prioritize candidates who can leverage AI as a tool while excelling in areas it can't replicate, such as critical thinking and interpersonal dynamics. Here's a breakdown:
| Category | Key Skills | Why It Matters | How to Build It |
|---|---|---|---|
| Technical & AI Proficiency | AI tools (e.g., machine learning basics, generative AI like ChatGPT), data analytics (Excel, SQL, Python), predictive modeling. | AI automates repetitive tasks like data entry and compliance, freeing focus for strategic analysis; firms seek tech-savvy grads to integrate AI into workflows. | Take online courses (e.g., Coursera on AI for business or Python for data analysis); practice with real datasets on platforms like Kaggle; experiment with AI for tasks like summarizing financial reports. |
| Analytical & Strategic Thinking | Interpreting data patterns, financial forecasting, risk assessment, understanding global economics (e.g., tariffs' impact on reporting). | With AI providing raw insights, humans add context and decision-making; essential for FP&A and advisory roles. | Pursue case studies in accounting programs; join university AI clubs; analyze real-world scenarios, like using AI to predict market trends. |
| Soft Skills & Human Elements | Communication, collaboration, grit, personality; ethical reasoning in AI applications. | AI can't build client relationships or handle nuanced judgments; experiences like team sports or volunteering demonstrate resilience. | Highlight extracurriculars on resumes; practice presenting AI-generated insights; volunteer or work part-time in customer-facing roles. |
| Adaptability & Continuous Learning | Embracing change, AI fluency (e.g., prompt engineering, automation tools like Zapier). | The industry is shifting rapidly; grads who view AI as a partner stand out. | Earn certifications (e.g., Google Data Analytics or AI ethics courses); stay updated via podcasts or journals like CPA Journal. |
- Strengthen Your Foundation: If pursuing accounting, opt for programs integrating AI and data analytics into the curriculum—top schools are adapting with case studies and tech partnerships. Consider a Master's in Accounting or related fields to apply knowledge strategically. No coding experience? Start with beginner-friendly resources.
- Gain Practical Experience: Build a portfolio showcasing AI applications, such as automating financial models or auditing AI biases in mock scenarios. Intern at smaller firms for hands-on work, as Big Four entry-level roles shrink. Participate in hackathons or projects involving AI in finance.
- Network and Apply Strategically: Tailor resumes with keywords from job descriptions (e.g., "AI assurance," "data visualization"). Optimize LinkedIn with certifications and endorsements; attend career events or use referrals. Apply broadly, including midsize firms for experience before targeting Big Four.
- Explore Emerging Opportunities: Focus on AI-specific niches like assurance services (verifying AI fairness and compliance), which are growing as regulations like the EU AI Act demand third-party audits. This could differentiate you in a market where traditional roles are disrupted.
- Mindset Shift: Don't fear AI—embrace it to boost efficiency. Commit to lifelong learning, as firms track AI engagement in performance reviews. With global AI markets projected to hit $800 billion by 2030, skilled graduates who blend human insight with tech will thrive.
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© 2025 Canary Wharfian. All Rights Reserved.
© 2025 Canary Wharfian. All Rights Reserved.