About this episode
If you're a student, graduate, engineer, geoscientist, or industry professional trying to make sense of where energy is heading this conversation matters.Many of you are navigating career uncertainty, hearing mixed messages about oil and gas, renewables, AI, fracking, net zero and policy shifts. It can feel difficult to understand where real opportunity sits and what skills will still matter in 10 or 20 years.In this episode, I sit down with subsurface and exploration manager Mike Cooper to talk openly about how the industry has changed since the 1980s, what’s happening globally across oil, gas and renewables, and what this means for the next generation entering energy.We explore:🌍 How global geology connects basins from the North Sea to Brazil and West Africa🤖 Where AI can genuinely help and where it still needs human judgement🏗️ Why energy policy directly affects jobs, industry and competitiveness🎓 What young professionals should be doing right now to build resilienceMike also shares lessons from building and winding up companies, mentoring graduates, and creating niche industry content through his YouTube channel. There’s a strong thread throughout this conversation: experience, judgement and specialist expertise still matter even in a more automated world.🔑 Three Key Takeaways1️⃣ Energy transition doesn’t eliminate legacy industries it reshapes themOil and gas are unlikely to disappear overnight. Even as renewables expand, fossil fuels still form a large part of global energy supply. The real shift is in how efficiently and responsibly energy is produced.Actionable takeaway:👉 If you’re entering energy, build dual literacy. Understand both conventional energy systems and transition technologies like CCUS, geothermal or offshore wind. Being cross sector fluent increases your employability.2️⃣ AI is powerful but expertise is the filterAI can draft, summarise and model at speed. But it still blends data incorrectly, mislabels basins, or merges unrelated fields. Human oversight remains critical, especially in subsurface interpretation and engineering decisions.Actionable takeaway:👉 Learn to use AI as a productivity tool, not a replacement for technical understanding. Develop deep domain knowledge so you can sense check outputs and spot errors
