Millions of Americans entering the workforce don’t have a traditional four-year college degree. Earning a degree may not be realistic, attainable or appealing for everyone. Many folks are instead pursuing alternative educational paths—from on-the-job-training to certificates— to advance their careers. The traditional four-year degree is only one way to demonstrate needed work skills. But are prospective employers feeling the same way?

We continue to see the bachelor's degree as a requirement for many job listings and so AI-enabled resume readers will screen out otherwise capable applicants. How can we tear down this paper ceiling and create more pathways for professional development and faster skills growth without the time and financial investment that college requires for workers who may already have equivalent work experience?

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In this episode, we’re taking a very real look at how AI is changing the hiring landscape. Applicants are using ChatGPT to write job opening-specific resumes, which in turn is making applicants meld together and what this episode’s guest calls a sea of sameness. On the other side of the application, managers are turning to ChatGPT to help write job descriptions. This is creating job description templates that are not specific to the actual open position. So how do you cut through the AI “red tape” when it comes to job descriptions and applying?

To discuss this important topic, we’re delighted to speak with Kat Kibben. Kat is an award-winning writer and renowned keynote speaker known for helping hiring teams write inclusive, unbiased job postings that help them hire the right person faster.

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This episode, we’re turning our attention to the deskless worker—those who work in manufacturing, front-line support, health care and so many other areas. Their job does not require them to be at a desk or in a traditional office setting. They're on the go, in the field, working in environments that demand mobility and flexibility. How do we accelerate the learning and upskilling of the deskless worker? Is it through AI, advanced communications, introduction to new opportunities? How do we incorporate more inclusion for this majority group of workers?

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Demand for mental health benefits has grown. In a 2023 NPR article, psychologists say they can't meet the growing demand for mental health care—whether it’s not having enough open positions or three-month-long waitlists. There is a growing market for apps to fill the gaps, as well as platforms that connect people with licensed therapists or a number of AI-powered solutions that emulate a therapist. All this has an impact on workers and the workplace. And as we heard from Daniel Zhao at GlassDoor in our earlier episode, newer generations of employees are expecting employers to address these needs with benefits. Let’s talk about what employees are seeking from companies and how companies are responding.

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Job listings mentioning AI have doubled on LinkedIn, and demand for AI skills is appearing across a wide range of industries and sectors. Job seekers are jumping on the bandwagon and adding AI skills to their resumes. But what does this mean? What are employers looking for, where can you learn these skills, and how do you talk about (and use!) AI in meaningful ways.

We turn to Dr.Michael Wu, who is a leading authority on artificial intelligence and behavioral economics. He’s currently the Chief AI Strategist at PROS, an AI-powered software solution provider, and was recently appointed as Senior Data Science Research Fellow at the Ecole des Ponts Business School. A popular adviser and lecturer for UC Berkeley Extension’s AI programs, Michael has triple undergraduate majors in Applied Math, Physics, and Molecular and Cell Biology, and earned his Ph.D. from UC Berkeley’s Biophysics program.

He will be presenting his “Demystifying AI: What Business Leaders Need to Know About AI” course at the upcoming Outperform With PROS conference. Learn more about this event @https://bit.ly/3uO78YH

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Are you making any career or professional development resolutions? To help you envision the future, let’s explore trends and new directions for career growth. To shed light on the jobs that are in demand and growing sectors, we need to dive into data from employees and employers.

Fortunately for us, we are going to get a peek behind the glass door. We're excited to have Daniel Zhao, lead economist and senior manager data science at Glassdoor, who has been doing research on trends in the job market and workplace. 

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As we look toward 2024, we'd like to take this time to remind each of our listeners that it's important to invest in your future of work goals. So let's call this episode the Future of Work Gift Guide. What can you give yourself to upskill? How can you help someone achieve their career goals?

To unpack and highlight insights from this past year, we've brought back Michelle Hector from our first episode on overcoming barriers and Barry O'Reilly from our third episode on unlearning. 

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With the advent of generative AI and large language models and chatbots, we need to take a look at the skills you will need, the jobs that are impacted and the opportunity to increase productivity—not only for yourself, but for an organization as a whole. With AI evolving at lightning speed, are we quickly entering the age of adopt or perish?

To take a deeper dive, we have invited Chalenge Masekera to join us. Chalenge is a data scientist currently working at Faros AI, a company dedicated to enabling enterprises to get invaluable insights into their engineering operations. 

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