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Article by Frank Galati. Frank is Managing Partner at TRANSEARCH Toronto and global practice leader for Energy & Natural Resources, bringing first-hand CEO experience and two decades advising boards and senior leaders across the mining sector. He has led hundreds of executive and board appointments globally, with a strong focus on leadership capability, succession and compensation strategy. Frank also leads the firm’s compensation advisory practice, authors an annual mining executive remuneration report, and champions industry leadership development and diversity. Get in touch with Frank Galati »
AI is coming to mining. Not in the distant future, but right now.
From predictive maintenance and autonomous drilling to ESG reporting and tailings monitoring, the early use cases are already here. But as with most technology shifts, the real question for mining CEOs isn’t about which tools to deploy – it’s about how to build the internal capability to use them well.
Small and mid-cap mining companies often don’t have the luxury of a full innovation lab or a dedicated digital function. Yet they’re under the same pressure to improve efficiency, reduce risk, and meet investor expectations on sustainability and transparency. That creates a gap not just in tools, but in talent.
We believe the difference-maker won’t be who buys the most AI tools. It will be who builds the right leadership model to adopt, scale, and govern them. For some companies, that may mean hiring a Head of Digital or VP Innovation. For others, it may mean empowering operational leaders with stronger data fluency or partnering externally to bring that capability in.
But in all cases, the shift is clear: AI is not just a back-office tool. It’s becoming a core operational enabler. And the leadership conversation needs to evolve to match it.
Mining CEOs should be asking:
- Who in our organization is responsible for AI exploration and implementation?
- What internal capability do we need to develop now to avoid falling behind?
- Where can we partner to gain capacity or accelerate learning?
- And how do we structure leadership to ensure AI supports our technical, ESG, and growth agendas?
The winners won’t just be the most technologically advanced. They’ll be the most adaptive – the ones who invested early in capability, clarity, and the right leadership structure to harness what AI makes possible.
If you’re thinking about how to get ahead of this shift, whether by building internal capability, adding new leadership, or exploring external partnerships – – let’s talk. We’re already working with mining CEOs and boards who are asking the same questions. And we can help you get the right pieces in place before the pressure mounts.
Learn more about The Bedford Group TRANSEARCH’s work in AI leadership here.
Original article: The AI Shift in Mining: Why Leadership, Not Just Technology, Will Define the Next Decade
