27% Embedded: What APM’s Research Really Tells Us

AI in project delivery is starting to look more operational, more uneven and more consequential.

That runs through the whole issue. The featured piece uses APM's latest research to show where adoption is becoming real inside project workflows, while the Editor's Picks widen the lens to model capability, leadership strategy, site robotics and the cost pressure that comes with serious deployment. Alongside that, this week's issue also picks up practical signals from the new AI in AEC & Project Delivery section, a tool that fits document-heavy work, and one quick action readers can take straight away.

APM's latest research is the strongest anchor story for the week because it gives a clean read on where the market actually is. The headline is simple: AI is no longer sitting on the edge of project delivery. It is moving into core workflows, with the clearest gains showing up where teams need speed, structure and repeatability.

What makes the piece especially useful is that it helps separate real adoption from broad AI noise. The story is not that every team has cracked implementation. It is that a meaningful share of the market is now using AI in ways that are operational, visible and increasingly hard to reverse. That makes it a strong reference point for any leadership team still treating AI as a side initiative.

Read the full analysis →

This week's must-read stories on AI, project delivery, and infrastructure:

Claude Opus 4.7 matters less as a benchmark story and more as a workflow story. The higher-resolution vision capability is the part worth watching for AEC teams working across drawings, scans, photos, and messy document sets. Read the blog

PwC's latest study reinforces a pattern that keeps showing up across AI adoption: the gains are not spreading evenly. The firms putting real structure behind adoption are pulling away, and that should shape how leadership teams think about spend, sequencing, and urgency. Read the blog

Buildroid is one of the clearest site-level signals in this week's mix. It shows what happens when BIM stops at modelling and starts feeding physical execution more directly. Read the blog

Uber's budget story is a useful warning for anyone assuming AI cost inflation will stay tidy once teams really adopt these tools. Productivity may land quickly, but so can consumption-based spend. Read the blog

Here are some intriguing reads, specifically for AEC and project delivery professionals:

This looks immediately useful for PMs, QSs, and surveyors working inside long, structured documents. The key point is not that it writes in Word, but that it edits while preserving formatting, numbering, and tracked changes.

Learn more →

If there is one small action worth taking this week, this is a good candidate. It is short, relevant, and likely to return useful benchmarking on how firms are actually capturing and reusing project knowledge.

Anthropic and Cerebral Valley are bringing back the Claude Code hackathon as a fully virtual build week for builders around the world. Up to 500 participants will be selected, each receiving $500 in Claude API credits, with a $100k prize pool on offer. Teams can have up to two people, and approval is required.

Details →

Catch up on other exciting stories shaping AI and project delivery:

Movar Reply is helping the construction industry make smarter decisions with AI. Their tools connect your planning systems, cost data, and risk registers into one unified data environment—then use AI to surface insights you'd never find manually. They even offer free AI tools for project reporting.

If you're curious about what AI can actually do with your project data, they're worth a look.
👉 Explore Movar Reply's AI tools: https://movar.group/

👉 Find the course details here

That's it for this week. See you next week

Yoshi & James

_{All content reflects our personal views and is not intended as professional advice or to represent any organisation.}