Meet the Leader
AI and Jobs Series: What's Next for Entry Level Workers
Entry level jobs provide a special window into the wider changes we'll see to job design and skill development. In this episode of Meet the Leader, Peter Brown of PwC explains how entry-level roles are transforming and breaks down new research on what employers really want and need from entry-level workers now. He also shares how can these roles can continue to serve as training grounds for career skills like collaboration, critical thinking, and relationship building and why a thoughtful redesign of these roles will be key to future leadership development. Top names from our Chief People Officer community also share the advice new grads need to know in a fast-changing job market. Key takeaways: The most dire headlines about entry-level jobs are not yet backed up by data. Employers are increasingly prioritizing applied experience and skills over degrees alone. New grads should focus on outcomes rather than tasks and look for ways to build human skills on purpose. Peter Brown is PwC’s global workforce leader and a co-author of the World Economic Forum report Artificial Intelligence and the Future of Entry-Level Work. Subscribe for more conversations on leadership, the future of work, and the biggest trends shaping business. This is the third episode in a 3-part series on AI and jobs.
聴き始める
22 mins
特集エピソード:
Leaders from business and beyond talk about leadership, teamwork and decision-making.
ホスト:
Linda Lacina
Digital Editor, World Economic Forum
すべてのエピソード:
並べ替える:
AI and Jobs Series: What's Next for Entry Level Workers
• 22 mins
Entry level jobs provide a special window into the wider changes we'll see to job design and skill development. In this episode of Meet the Leader, Peter Brown of PwC explains how entry-level roles are transforming and breaks down new research on what employers really want and need from entry-level workers now. He also shares how can these roles can continue to serve as training grounds for career skills like collaboration, critical thinking, and relationship building and why a thoughtful redesign of these roles will be key to future leadership development. Top names from our Chief People Officer community also share the advice new grads need to know in a fast-changing job market. Key takeaways: The most dire headlines about entry-level jobs are not yet backed up by data. Employers are increasingly prioritizing applied experience and skills over degrees alone. New grads should focus on outcomes rather than tasks and look for ways to build human skills on purpose. Peter Brown is PwC’s global workforce leader and a co-author of the World Economic Forum report Artificial Intelligence and the Future of Entry-Level Work. Subscribe for more conversations on leadership, the future of work, and the biggest trends shaping business. This is the third episode in a 3-part series on AI and jobs.
• 22 mins
Entry level jobs provide a special window into the wider changes we'll see to job design and skill development. In this episode of Meet the Leader, Peter Brown of PwC explains how entry-level roles are transforming and breaks down new research on what employers really want and need from entry-level workers now. He also shares how can these roles can continue to serve as training grounds for career skills like collaboration, critical thinking, and relationship building and why a thoughtful redesign of these roles will be key to future leadership development. Top names from our Chief People Officer community also share the advice new grads need to know in a fast-changing job market. Key takeaways: The most dire headlines about entry-level jobs are not yet backed up by data. Employers are increasingly prioritizing applied experience and skills over degrees alone. New grads should focus on outcomes rather than tasks and look for ways to build human skills on purpose. Peter Brown is PwC’s global workforce leader and a co-author of the World Economic Forum report Artificial Intelligence and the Future of Entry-Level Work. Subscribe for more conversations on leadership, the future of work, and the biggest trends shaping business. This is the third episode in a 3-part series on AI and jobs.
AI and Jobs Series: Upskilling's 'Messy Middle' and Fixing the Skills Mismatch
• 28 mins
New research shows many labor markets face a skills mismatch, not a talent shortage. And in the 'messy middle' of the AI transformation, that mismatch will be harder for leaders, workers and hiring managers to ignore as they build future-ready teams. To compete, companies will need to focus less on classic degrees and more on skills-based hiring to ensure worker capabilities reflect what rapidly evolving roles require. In this episode, Maria Flynn, CEO of non-profit Jobs for the Future, explains why education and workforce systems built for the past are struggling to keep pace with AI-era job shifts requiring changes in how workers are trained, assessed and tested. Flynn also discusses the importance of designing quality jobs in all sectors and how worker voice and agency matters in both AI training and implementation and how this can reduce turnover, strengthen AI adoption, and close gender gaps. Key takeaways: • What is the skills mismatch - and what hiring managers need to understand to build their teams • How skills-based hiring can expand across hiring, advancement and talent management • Why successful AI adoption needs worker input, better job quality and inclusive workforce design Part two of our three-part AI and Jobs series. Subscribe to Meet the Leader for more conversations on leadership, AI, skills and the future of work.
• 28 mins
New research shows many labor markets face a skills mismatch, not a talent shortage. And in the 'messy middle' of the AI transformation, that mismatch will be harder for leaders, workers and hiring managers to ignore as they build future-ready teams. To compete, companies will need to focus less on classic degrees and more on skills-based hiring to ensure worker capabilities reflect what rapidly evolving roles require. In this episode, Maria Flynn, CEO of non-profit Jobs for the Future, explains why education and workforce systems built for the past are struggling to keep pace with AI-era job shifts requiring changes in how workers are trained, assessed and tested. Flynn also discusses the importance of designing quality jobs in all sectors and how worker voice and agency matters in both AI training and implementation and how this can reduce turnover, strengthen AI adoption, and close gender gaps. Key takeaways: • What is the skills mismatch - and what hiring managers need to understand to build their teams • How skills-based hiring can expand across hiring, advancement and talent management • Why successful AI adoption needs worker input, better job quality and inclusive workforce design Part two of our three-part AI and Jobs series. Subscribe to Meet the Leader for more conversations on leadership, AI, skills and the future of work.
AI and Jobs Series: What tasks can humans stop doing? One HR lead weighs in
• 28 mins
As AI grows more powerful and takes on more rote work, what should humans stop doing? Fertility benefits company Progyny took on this question as a company to re-evaluate routines and norms and how AI might help these evolve. Chief Human Resources Officer Cassandra Pratt shares how teams there are using AI to reduce rote work, rethink job design, improve meeting culture and give people more time for the human work machines cannot do, such as building trust and strengthening relationships.
• 28 mins
As AI grows more powerful and takes on more rote work, what should humans stop doing? Fertility benefits company Progyny took on this question as a company to re-evaluate routines and norms and how AI might help these evolve. Chief Human Resources Officer Cassandra Pratt shares how teams there are using AI to reduce rote work, rethink job design, improve meeting culture and give people more time for the human work machines cannot do, such as building trust and strengthening relationships.
5 top leaders share career advice for grads - and anyone navigating change
• 21 mins
This special episode of Meet The Leader collects highlights of commencement addresses made by top leaders from companies and organizations like NVIDIA, Walmart International, NYU, TIAA and Goldman Sachs. It’s an inspiring collection of advice and lessons learned for new grads or anyone navigating a big change.
• 21 mins
This special episode of Meet The Leader collects highlights of commencement addresses made by top leaders from companies and organizations like NVIDIA, Walmart International, NYU, TIAA and Goldman Sachs. It’s an inspiring collection of advice and lessons learned for new grads or anyone navigating a big change.
AI ‘workslop’ is a leadership problem. Here’s how to fix it: BetterUp CEO
• 23 mins
Workslop - low-quality work produced through poor human-AI collaboration -is wasting time, slowing teams down and limiting the productivity gains leaders expect from AI. But the problem isn’t the technology – it’s the leadership. Workslop often reflects unclear standards, weak direction and poor feedback.In this episode, BetterUp CEO Alexi Robichaux explains why AI can amplify both good and bad leadership standards, and why leaders need to define what excellent work looks like before AI scales a team’s output. He also shares how AI coaching can help managers find ways to hone hard-to-improve soft skills, practicing difficult conversations, tricky performance reviews and tough feedback, all in a safe space before those moments happen with real teams in real time. AI amplifies clarity or confusion. Set clear standards before AI scales your team’s work. Workslop is a leadership warning sign. Poor AI output can reveal unclear direction and weak feedback. Managers need practice. AI coaching can help leaders sharpen direction and rehearse how they give feedback or tackle difficult conversations. Rethink how you invest in people. AI investment is overwhelming conversations. But are you putting that diligence and planning into how you develop your talent?
• 23 mins
Workslop - low-quality work produced through poor human-AI collaboration -is wasting time, slowing teams down and limiting the productivity gains leaders expect from AI. But the problem isn’t the technology – it’s the leadership. Workslop often reflects unclear standards, weak direction and poor feedback.In this episode, BetterUp CEO Alexi Robichaux explains why AI can amplify both good and bad leadership standards, and why leaders need to define what excellent work looks like before AI scales a team’s output. He also shares how AI coaching can help managers find ways to hone hard-to-improve soft skills, practicing difficult conversations, tricky performance reviews and tough feedback, all in a safe space before those moments happen with real teams in real time. AI amplifies clarity or confusion. Set clear standards before AI scales your team’s work. Workslop is a leadership warning sign. Poor AI output can reveal unclear direction and weak feedback. Managers need practice. AI coaching can help leaders sharpen direction and rehearse how they give feedback or tackle difficult conversations. Rethink how you invest in people. AI investment is overwhelming conversations. But are you putting that diligence and planning into how you develop your talent?