AI and Your Career Development

Career Exploration

Choosing a career path can feel overwhelming. AI can help generate ideas when you’re unsure where to start—but it should never be your only source.

How AI Can Help

• Generate potential job titles or career paths
• Surface industries you may not have considered
• Summarize skills commonly associated with certain roles

Best Practice

After using AI to explore ideas:

• Research roles on Handshake
• Review job descriptions and qualifications
• Meet with a Career Advisor to discuss fit and next steps

Sample AI Prompts for Career Exploration

• “Can you provide insights into the key aspects of pursuing a major in finance?”
• “What are the typical career paths for someone with a marketing degree?”
• “Based on my interest in sustainability and technology, what emerging business careers might be a good fit?”
• “I enjoy leading others and solving problems—what career paths align with those interests?”

Resume and Cover Letter Support

Creating strong application materials can be challenging. AI can help you organize your experiences and improve clarity—but it should support your work, not replace your voice.

Sample AI Prompts for Identifying Relevant Skills

• “What skills are listed in this job description?”
• “How do my experiences align with these requirements?”
• “What keywords are common in this industry?”
  

Sample AI Prompts for Editing a Resume

• “Help incorporate industry-specific language for a fintech resume.”
• “Check for grammar and clarity.”
• “Suggest strong action verbs.”
  

Sample AI Prompts for Editing a Cover Letter

• “Proofread my cover letter for grammar.”
• “Help tailor my letter to the skills listed in this posting.”  
  

Important: Always personalize AI-generated content to reflect your actual experiences and voice.

Interview Preparation

Preparing for interviews takes practice and reflection. AI can help you anticipate questions and refine your responses—but it should complement, not substitute, your preparation.

Sample AI Prompts for Interview Preparation

• “Simulate a mock behavioral interview for a marketing intern role.”
• “List common behavioral questions for project management roles.”
• “Explain the STAR method with an internship example.”
• “Provide technical interview questions for an analytics role.”
• “Share case interview frameworks used in consulting.”
  

Important: Pair AI practice with mock interviews through the Office of Career & Professional Development for personalized feedback.

Resume & Application Screening

• Applicant Tracking Systems (ATS) parse resumes
• AI identifies keywords and filters applications based on criteria

Candidate Assessment

• Algorithms analyze candidate data from multiple sources
• May include resumes, applications, and professional profiles

Candidate Engagement

• AI powered chatbots answer questions
• Conduct initial screening and scheduling

Interviews

• Some platforms use AI to analyze video interviews
• May assess speech patterns, facial movement, or responses

Skill Assessments

• Online assessments and challenges evaluated by AI
• Machine learning analyzes responses to identify proficiency and potential

Important Consideration

While AI improves efficiency, ethical issues such as bias and transparency remain concerns. Employers and candidates alike should approach AI-driven hiring with awareness and care.

What Employers Expect: Guidance from Industry

Leading employers are actively developing guidance on how candidates should use AI during the job search process.

For example, McKinsey & Company encourages candidates to use AI as a preparation tool—not a substitute for their own thinking or communication.

Key Takeaways from Employer Guidance

• Use AI to practice and prepare (e.g., mock interviews, refining ideas)
• Do not rely on AI to generate final answers in interviews
• Be ready to explain your thinking clearly and independently
• Focus on demonstrating problem-solving, judgment, and communication skills

Interviews are designed to assess how you think—not just what you say. This reflects a broader trend across employers:

Your ability to articulate your ideas, decisions, and reasoning matters more than polished AI-generated responses.

Risks and Limitations of AI

Lack of Originality

AI-generated content can sound generic and impersonal.

Example: “I am interested in the position because it seems like a good fit for me.”

Overuse of Jargon

AI may rely on vague or overly complex language.

Example: “Leveraging cross-functional paradigms to maximize stakeholder value…”

Misrepresentation

AI may exaggerate your qualifications.

Example:

• Actual: Proficient in Python for data analysis
• AI version: Expert in Python, machine learning, and AI

Misalignment with the Role

AI may misunderstand job requirements and insert irrelevant content.

Keyword Stuffing

Over-optimizing for ATS can reduce readability and clarity.

Ethical and Privacy Concerns

• Fabricating experience is unethical
• Always review privacy policies of AI tools
• Understand how your data is stored and used

Accounting & Finance

• Automated data processing and reconciliations
• AI-supported auditing, fraud detection, and forecasting
• Greater focus on interpretation, advising, and client communication

Marketing

• AI-generated and optimized content
• Advanced audience targeting and personalization
• Increased emphasis on strategy, brand voice, and creativity

Information Systems

• Automation of IT systems and infrastructure
• AI-assisted cybersecurity monitoring
• Increased demand for oversight, risk management, and system design

Consulting

• Faster research and market analysis
• AI-assisted problem diagnosis and modeling
• Greater emphasis on storytelling and client communication

Supply Chain

• Demand forecasting and logistics optimization
• Predictive maintenance and automation
• More focus on decision-making and coordination

Analytics

• Automated data preparation and pattern detection
• AI-powered visualization tools
• Stronger need for translating insights into business decisions

Operations Management

• Process optimization and automation
• AI-driven scheduling and inventory management
• Increased focus on leadership and tradeoff decisions