Are these future-proof careers?

Only 47% of parents would recommend hands-on careers to their kids, despite experts saying these are the most AI proof career paths.

In this episode:

• Only 47% of parents recommend hands-on careers, despite experts identifying them as AI resistant jobs due to their reliance on irreplaceable human connection and nuanced judgment.
• The core of an AI proof teaching career lies in human elements like empathy, bespoke care, and relationship-building, which AI cannot replicate, making teaching a fundamentally human endeavor.
• AI impact education will be seen as roles evolve rather than disappear; educators can leverage AI for administrative tasks, freeing them to focus on complex student needs and fostering higher-order thinking.
• AI literacy, including understanding AI limitations and developing collaborative reasoning, is becoming a critical skill for students and AI for educators.
• Practical steps for leaders involve connecting AI to existing teacher friction points, fostering teacher wellbeing, and empowering them as change agents to drive innovation, not just tool adoption.

Chapters:

• 00:00 — Cold open & welcome
• 00:54 — What makes jobs AI resistant and irreplaceable?
• 02:15 — Childcare and teaching: Why human connection is critical for an AI proof teaching career
• 03:45 — How roles will evolve, not disappear, reflecting AI impact education
• 05:15 — AI in hospitality: Focusing on human connection and capacity for creativity
• 06:15 — Cultivating AI literacy: Collaborative reasoning for AI for educators
• 07:00 — AI as an equalizer: Enhancing accessibility in education and childcare
• 07:45 — Redesigning assessment for the AI era: Demanding depth and human judgment
• 08:45 — Practical steps for leaders: Anchoring AI to teacher needs and measuring wellbeing
• 09:45 — The future of work: Leaning into uniquely human skills

What makes a teaching career AI proof?
A teaching career is AI proof because it relies on irreplaceable human connection, nuanced judgment, empathetic care, and the ability to inspire, which machines cannot replicate.

How will AI impact education for teachers?
AI will impact education by automating administrative and repetitive tasks, allowing teachers to focus more on complex student needs, foster relationships, and develop higher-order thinking skills through human oversight and judgment.

What skills should educators and students develop to thrive in an AI-powered world?
Educators and students should develop AI literacy, collaborative reasoning, critical thinking about AI limitations, and the uniquely human skills of wonder, care, judgment, relationship building, and imagination.

Featuring: Dan Fitzpatrick, Guardian Design, Oushk Pharmacy, Oxford University’s Generational Success Lab, Tiney, Lawhive, Law Society of England and Wales, Westmont Institute of Tourism and Hospitality at Nova School of Business and Economics.

Read the original source

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Transcript

SPEAKER_00 0:00

If this episode makes you think, please let us know in the comments and support us by subscribing and leaving a review. Thank you. Today we are exploring an article from The Guardian titled Safe from AI, which jobs will help you thrive in the future. What struck me immediately was a finding buried within the piece. Less than half, only forty-seven percent of parents would actually recommend their child pursue a career in construction. Despite experts saying these hands-on trades offer some of the most AI-resistant career opportunities. That's a huge disconnect, isn't it? The article delves into how AI is going to reshape the world of work, but crucially it doesn't just focus on the threat. It looks at how people can future proof their careers, asking experts across various industries what impact AI will truly have, and which jobs might just be less affected. And what's interesting for us in education is that many of the insights about AI-proof teaching career. Paths align so perfectly with the core principles we've been talking about for months. It's not about finding jobs that AI can't touch, but rather understanding what AI can't be. First, let's look at what makes some jobs inherently resilient to AI, according to these experts. You've got professions like medicine, childcare, and hospitality all highlighted as areas where human connection, judgment, and bespoke care are simply irreplaceable. Hera Malik, a superintendent pharmacist and co-founder of Ushk Pharmacy, points out that while admin heavy healthcare roles, think medical secretaries, prescription processing, call handling, are vulnerable to automation pharmacists, doctors, and nurses, those making clinical decisions and carrying responsibility for patient safety remain far less susceptible. She puts it so simply, AI can help organize information and flag risks, but it cannot decide whether treatment is safe or appropriate. And this is the bit that really got me thinking about teaching.

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SPEAKER_00 2:07

Rhea Zegger, a consultant, plastic and reconstructive surgeon, says plastic surgery is too bespoke and too individualized. Every patient is different. This echoes a core belief of mine. Machines can compute, but they cannot wonder, they cannot care. They lack the nuanced judgment and empathetic connection that defines human interaction. Nowhere is this clearer than in childcare. Brett Wigda, founder and chief executive of the childcare agency Tiny, makes a really strong case that childminding is one of the careers least likely to be replaced by AI. Why? Because as he says, people want a human being to take care of their children. This isn't just about safety, it's about the innate human need for care, comfort, and relationship. Sharath Jeevin, founder of Oxford University's Generational Success Lab, backs this up, suggesting that in education, students will always need trusted adult relationships to help them learn. Think about your own classroom for a moment. Could an AI grade every single essay? Maybe. Could it deliver every lesson plan? Perhaps. But could it comfort a child who's had a tough morning? Could it spot that subtle shift in a student's body language that signals their struggling, not just with the content, but with something far deeper? Could it inspire a reluctant learner to find their passion purely through the power of a genuine connection? Absolutely not. This is why teaching remains a fundamentally human endeavor, and it aligns perfectly with our first pillar. AI is for enhancement, not replacement. It augments human capability. It never replaces the educator or the learner. Next, let's consider how roles will evolve, not disappear, and this is crucial for understanding the ACM AI impact education. Might see. The article highlights how roles in radiology, for instance, are evolving. While AI can interpret scans with extremely high accuracy, as Dr. Agar notes, radiologists won't disappear. Their role will just change, probably focusing on the more complex cases, human oversight and patient communication. We see a similar evolution in the legal sector. Pierre Proner, CEO at Lawhive, an online legal services company, points out that paralegal and junior lawyer roles, which traditionally involve routine document review and drafting, are highly susceptible to AI automation. But here's the kicker. He argues the roles won't be eliminated. Instead, junior lawyers will shift their focus earlier on to applying legal judgment and developing client interaction skills. Brett Dixon, Vice President of the Law Society of England and Wales, agrees, suggesting that automating routine tasks could create more time and opportunities for junior lawyers to think more deeply about complex legal issues. Doesn't this sound familiar? It's exactly what we advocate for in education. Outsourcing your doing, not your thinking. AI can handle those repetitive administrative tasks that bog teachers down, freeing them up for what truly matters, the complex legal issues of individual student needs, the nuanced judgment calls, and the profound relationships that foster learning. We need to be preparing students and indeed ourselves to embrace this evolution. Our job is to teach students not to outsmart machines, but to outthink them, using AI as a partner in their learning journey. If you're finding this conversation insightful, please consider following or subscribing to the podcast. It really helps us bring more of these ideas to you. Then there's the surprising connection between AI and the skills we need to cultivate. Think about hospitality. Professor Graeme Miller, academic director of the Westmont Institute of Tourism and Hospitality at Nova School of Business and Economics, says AI will shift employment from back office functions to front office customer-facing roles. His example of truly warm, human and welcoming hotel staff in Barcelona who sit down and make you a cup of coffee perfectly illustrates that human-to-human connection that simply cannot be replicated. He argues that ideally AI should handle routine tasks like answering emails, so that humans have the capacity to genuinely connect with guests. This is AI helping us hold the complexity. So we have capacity for creativity. And it's not just about soft skills. The article points out that law firms are increasingly assessing candidates on their AI literacy. Prona says they're asking potential recruits, how are you using AI? Are you creating vibe coded apps with AI prompts? Are you working with AI agents? This isn't about memorizing tool features or coding. It's about developing a collaborative reasoning ability, understanding AI limitations, managing conversations with precision, and having a reflective awareness of its influence. It's about theory of mind. What does the AI know and what doesn't it know? This is the kind of AI literacy we need to be building in our schools for FOFS AI for educators and for our students. The idea that AI can also be an equalizer is a really important one, and the article touches on it in the legal sector. Prona suggests that as AI lowers the cost of delivering legal services, it could make law more accessible to more people. Could Dart and AI in childcare choice? Or education similarly lower barriers, making differentiated learning or specialist support more accessible for every student, especially for that often invisible middle eighty percent. Accessibility, after all, isn't an afterthought, it's a foundation. Professor Miller also touches on creativity and hospitality, suggesting that AI currently struggles to replicate truly innovative cuisine, though it might expose mediocre human work. This is a critical point for assessment in the AI era. If AI can produce competent but uninspired creative work, then our assessments need to demand more. We need to design learning that cannot be faked because it demands depth, care, and imagination. This means moving beyond just the product and considering the process when perhaps even including AI interaction logs and performance, a live demonstration of understanding and unique human judgment. We need to focus on cognitive stretch, on tasks that AI simply cannot complete, without the student's unique context, perspective, or judgment. Finally, let's talk about the practical steps for leaders and educators. Brian Berry, Chief Executive of the Federation of Master Builders, reminds us that hands-on trades like brickling and carpentry are robust against AI, yet, as I mentioned at the start, fewer than half of parents would recommend them. There's a perception challenge here. For us in education, this means we need to think strategically about how we frame AI. It's not just about the technology itself, it's about understanding what our stakeholders value, about building influence. We can't skip stages in that no-like trust progression. We need to show, not just tell, the value. For school leaders, this points to the anchor lesson from our seven lessons for AI adoption framework. Connect AI to existing friction points in teacher workflows, not just novelty. Show how AI can give teachers back time, focus, and energy to connect with students, truly aiming high. It's about building from strengths and empowering teachers as change agents, giving them the time and space to explore. Teachers often get labeled as resistant, but usually they just need that time and space, and then they become the best drivers of innovation. We need to measure student outcomes and teacher well-being, not just tool adoption rates. The future of work isn't about running from AI, it's about leaning into what makes us uniquely human. It's about fostering wonder, care, judgment, relationship, and imagination in our students, because those are the skills that machines simply cannot replicate. The real value in this AI powered world won't be in what the machine produces, but in how we as humans respond, adapt, and create with it. That's all for today. Thanks for listening.