You may have read recently in the industry press that AECOM has bought a Norwegian AI engineering company – Consigli.

Rather than being about licensing another software tool, this is about owning the intelligence layer of the business, and owning it right at the very front end of projects.

AECOM is embedding optimisation, generative engineering and automation directly into its early-stage design and engineering workflows. Space analysis, MEP loadings, plant room layouts, options testing and material optimisation are now being driven by AI before designs are fixed and before costs are finalised.

That is the critical shift.

Traditionally, the industry has worked as:
Design first → optimise later → value engineer at the end.

What this acquisition enables is:
Optimise first → design from data → lock in efficiency from day one.

That fundamentally changes how work is won.

If one bidder can demonstrate at concept stage that they have reduced carbon impact, faster programme certainty, quantified cost & risk reduction etc. then design quality alone will no longer win tenders.

Data-driven optimisation at the earliest stage becomes a direct commercial differentiator. This creates 3 very important implications for the wider industry:

1. Traditional service models are being quietly commoditised.
If a global firm can automate and optimise large parts of early engineering, the value is no longer in ‘hours billed’. The value moves to insight, optimisation, risk reduction and provable outcomes.

2. AI is now a strategic asset, not just an IT tool.
AECOM is not simply implementing AI,  it is reshaping how it wins work and protects margin through it. This is why I continually emphasise that AI implementation is NOT an IT project – it sits at board-level strategy.

3. Client expectations will move upstream.
Optimisation will no longer be something that happens after a scheme has been conceived. Clients will increasingly expect concept-stage evidence of efficiency, carbon performance and cost certainty as standard. Those who cannot provide it will simply be less competitive.

And this is the real point I think many in construction are still missing:

AI implementation is not about tools, it is about how your business creates value.
Implementing AI tools and technology does not change your business model.
Embedding optimisation into the front end of your value chain does.

So the real questions for construction leaders now are:
Where is the intelligence in our business actually sitting?
Are we influencing outcomes early enough to change commercial results?
Which parts of our value chain will be automated in the next 3–5 years?

The AECOM–Consigli deal should be a wake-up call for anyone in construction still sitting on the sidelines of AI implementation. The industry is changing around you, whether you are on board or not.