Welcome to the second episode in a series produced by Professor Rose Luckin's EDUCATE Ventures Research, exploring 'Evidence-Based EdTech', and hosted on The Edtech Podcast This mini-series connects, combines, and highlights leading expertise and opinion from the worlds of EdTech, AI, Research, and Education, helping teachers, learners, and technology developers get to grips with ethical learning tools that are led by the evidence.  For this episode, we examine the state of technology in work, training, and mentorship, and ask what role evidence plays when we are dealing with environments where (usually) productivity is the thing that’s measured.  Is productivity for the sake of it good?  How do we know the technology that the current and future workforce encounters, benefits them?  As many roles demand a more complex skill set, and fluency in technology, is there a risk we’re leaving people behind?  What do employability, recruitment, and skills look like in the age of the portfolio career?   We'll be asking: Are the skills, the ways of working, ways of thinking, ways of measuring success, that schools teach young people, appropriate for today’s world of work? How we balance human intelligence in the workplace with, broadly, ‘machine intelligence’; that is how we work with and support the human learner or worker, with the tech that many workplaces ask us to use What do we mean by ‘deep skills/reskilling/upskilling’, and this idea that people aren’t just sticking to one role, one organisation or type of work for 20, 30, 50 years? And most importantly, what evidence is there to help us understand what young people need and what can be done to effectively prepare young people for their ever-changing futures?     Thank you to Learnosity for sponsoring this episode, and for supporting the Evidence-Based EdTech series on the EdTech Podcast.