We are joined by career expert Sharon Hamersly to discuss how artificial intelligence (AI) can be a crucial tool in the modern job search, while also emphasizing its limitations and the critical role of human input.

**Crutch Words in AI Writing**

A common issue with AI-generated content: the over-reliance on generic phrases and crutch words such as "consequently" and "furthermore." These phrases can result in writing that appears insincere or overly generic.

**Outdated Free AI Models**

The limitation of free AI models, which rely on data that is typically 2-3 years old. This means that recent information and trends may not be reflected in AI outputs generated on these platforms.

**Prompt Specificity in AI Use**

Sharon Hamersly underscores the importance of specificity in prompts when using AI tools. She illustrates that more detailed prompts lead to better results. For example, instead of requesting generic accomplishments, one should provide specific skills and job levels to receive more relevant outputs.

**Applying Critical Thinking**

AI-generated content can serve as a good starting point for ideas; however, users must apply critical thinking to tailor these ideas to their specific needs.

**Writing Resumes and Personalization**

When it comes to writing resumes, don't pay for mass-produced resumes, which can appear identical to others. Instead, use AI as a starting point while ensuring the final resume accurately reflects the applicant's history.

**LinkedIn Profiles**

Treat LinkedIn as a distinct entity that requires unique, personalized content to genuinely represent the user’s professional brand.

**Authenticity in Interviews**

Personalizing AI-generated content helps avoid gaps in knowledge that could be problematic during an interview.

**AI as a Supplementary Tool**

AI serves as a helpful tool rather than a complete solution in the job search process. AI-generated content should act as a starting point, upon which job seekers must build with their own creativity and critical thinking.

**ATS Compliance and Resume Scams**

Sharon warns against services that claim to make resumes ATS (Applicant Tracking System) compliant and disallow the use of bullet points. Such claims are often scams.

**AI for Job Search Research**

AI can provide more specific and compiled information compared to traditional search engines. For example, asking specific questions about company roles can yield detailed responses.

**Limitations and Evolution of AI**

Sharon discusses the limitations of AI, such as occasionally generating inaccurate information and lacking critical thinking and creativity. She coins the term "MSU" (makes stuff up) to describe these tendencies.

**Plagiarism Detection and AI Training**

Sharon experiments with Microsoft Copilot and Scribbr to see how well AI can detect plagiarism and emphasizes the risk of over-reliance on AI tools that might lack personality and accuracy. Carol also mentions that user input can help train AI, though Sharon clarifies that AI generates independent content rather than directly pulling from existing works.

Key Moments

00:00 AI in job searching: benefits and pitfalls discussed.

04:48 AI began mid-20th century; computers weren't powerful enough.

10:01 Apprehensive about learning and understanding AI technology.

11:00 AI is valuable but requires human oversight.

14:47 AI content often repetitive and easily identifiable.

19:27 AI assists by generating helpful, specific ideas.

20:28 Using AI programs for writing inspiration.

26:33 Employers use AI in recruiting; understanding ATS helps.

27:13 ATS helps recruiters manage and rank applications.

30:19 Unscanned text box in applications omits key information.

37:37 Perplexity AI offers detailed, valuable job search information.

41:41 Ensure employment history accuracy; use text snippets.

45:59 Introduction to AI basics and job search implications.

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Recorded in Studio C at 511 Studios. A production of Circle 270 Media® Podcast Consultants.

Copyright 2025 Carol Ventresca and Brett Johnson

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