We're seeing clients pull work back from offshore engineering teams because AI now does it better, faster and cheaper in-house. The economics of operational support have fundamentally changed. If your cost model hasn't been revisited this year it's already outdated. @miniotec
Handed a maintenance scheduling workflow to an AI agent last week. Took minutes. Same task used to take a team days of cross-referencing spreadsheets. This isn't theory anymore, it's how we are supporting our clients. @miniotec
We consider most engineers in the world don't write code anymore. They orchestrate AI agents. If that shift is happening in Silicon Valley, it's coming to your control room next. @miniotec
Only 7% of companies have fully scaled AI deployments. In energy and mining that number is lower. The gap between those adopting now and those waiting is going to become a competitive cliff edge. @miniote
AI built a 100,000-line compiler autonomously over two weeks. Imagine what that same capability does to your asset integrity reporting backlog. This technology doesn't stay in tech. It migrates to wherever complexity lives. @miniotec
AI models released in the last few weeks aren't incremental. They complete real engineering tasks end to end. If you're leading operations in heavy industry and haven't stress-tested what this means for your workforce planning, start now. @miniotec
Every mine site has a spreadsheet someone built ten years ago that runs a critical process. We see this in all of our discussions. AI can now replace that entire workflow in an afternoon. The question is whether you find it first or your competitor does. @miniotec
The conversation has shifted. Six months ago clients asked us what AI could do. Now they're asking how fast they can restructure around it. That tempo change tells you everything. @miniotec
Regulators are not preparing the workforce for what's coming. In heavy industry that's especially dangerous. The people closest to the tools need to understand them before decisions get made above their heads. @miniotec
We continue to explore if AI can handle complex operational tasks. We're now measuring how much faster it completes them versus our best people. The answer is uncomfortable. @miniotec
One person with the right AI tools now has the output capacity of a small team. In an industry struggling with skills shortages, that's not a threat. It's the solution sitting right in front of you. @miniotec
Legal review of contracts, vendor agreements, compliance docs, all of this can be performed by an AI first pass right now. If your procurement team is still doing it manually, they're spending time they don't need to. @miniotec
Don't use AI as a search engine. Give it your actual operational problems. Feed it your maintenance data. Let it find the patterns your team hasn't had time to look for. That's where the value is. @miniotec
A common pushback we hear: "I tried AI and it wasn't impressive." When was that? Three months in this space is a generation. The models available today bear no resemblance to what you tested last year. @miniotec
The financial case for AI in heavy industry isn't about innovation anymore. It's about survival. When your competitor delivers the same output at a fraction of the cost, your margins disappear or your business gets purchased in a takeover. @miniotec
Most operational improvement in mining still relies on consultants flying in, spending weeks on site and producing a PDF. AI agents can now do the analytical heavy lifting in hours. The consulting model itself is being disrupted. @miniotec
We keep hearing "AI can't replace experience." Correct. But it can make one experienced operator as effective as five. That changes your headcount model, your training pipeline and your cost base overnight. @miniotec
The white-collar impact isn't coming. It's here. Planning engineers, report writers, data analysts. financial advisors etc. Every role that lives in a laptop is being redefined right now. Workforce strategies need to catch up. Regulators need a rocket. @miniotec
The kids entering the workforce in ten years will have grown up with AI as default. If your organisation hasn't adapted by then you won't just be behind on technology. You won't be able to hire. @miniotec
If your organisation is still debating whether to pilot AI you've already lost 3 years. The companies we work with that moved early are now on their second and third iterations. That compound advantage is real. @miniotec