mathias jonsson
mathjons.bsky.social
mathias jonsson
@mathjons.bsky.social
Applied AI in construction. Passionate about construction tech, data science, creative design in VR, XR.
A Harvard study involving 776 Procter & Gamble professionals suggests AI now functions effectively as a second human teammate.
March 26, 2025 at 3:14 PM
Construction executives make two common AI mistakes:
1. Overestimating what AI can do in the next year
2. Underestimating what it will do in the next five

Success requires balancing short-term pragmatism with long-term vision.
March 23, 2025 at 12:26 AM
The most powerful phrase in construction technology transformation: "Show me how you work now." Before changing anything, understand the current process, shortcuts, workarounds, and all. Optimization starts with observation.
March 22, 2025 at 4:32 PM
Stop training people on software. Start embedding software in existing workflows. The difference isn't semantic, it's the gap between implementation failure and success.
March 22, 2025 at 12:26 AM
A 9-word construction technology strategy that actually works: Identify frictions. Address one at a time. Measure the impact.
March 21, 2025 at 4:32 PM
The RFP process hasn't fundamentally changed in 50 years, but the firms winning work consistently always take advantage of new tech.

They're now using analytics to identify requirements 10x faster, assess win probability with 90% accuracy, and focus on opportunities they're best positioned to win.
March 21, 2025 at 12:26 AM
Quick tip: Before buying any new software, count how many clicks it takes to complete your team's three most common tasks. Anything over 5 clicks per task will face adoption resistance, regardless of its capabilities.
March 20, 2025 at 4:32 PM
Construction firms obsess over field productivity but ignore office efficiency. Your estimating team spending 60% of their time looking for information isn't a technology problem, it's a profit leak.
March 20, 2025 at 12:26 AM
The 3 non-negotiables for construction AI implementation: • Start with a specific business problem, not a technology • Ensure the solution fits into existing workflows • Measure success by user adoption, not features delivered
March 19, 2025 at 4:32 PM
The future of construction isn't fully automated jobsites; it's hybrid intelligence. Humans bringing judgment, creativity, and context sensitivity while AI handles pattern recognition, prediction, and optimization. The most successful implementations are designing for collaboration, not replacement.
March 19, 2025 at 12:26 AM
Construction leaders don't need more data; they need better questions. The companies seeing the greatest ROI from analytics aren't collecting more information, they're asking more precise questions that drive action. Start with the decision you need to make, then determine what data would inform it.
March 18, 2025 at 4:32 PM
The real technological revolution is slow but steady universal interoperability.

The ability for different systems, different platforms, to communicate and collaborate seamlessly.

Forget walled gardens. Build bridges (APIs).
March 17, 2025 at 4:32 PM
Email is the most underutilized data source in construction. The average company inbox contains years of informal knowledge, client preferences, and early warning signs of project issues, all gathering digital dust.
March 17, 2025 at 2:11 PM
MLOps 101: Don't start with ML. Begin with the simplest solution. Get it working, refine it, and then optimize.

Spent way too much time tweaking models that didn’t solve the real problem.
December 1, 2024 at 10:26 PM
Robots are friends

changelog.cursor.com
November 24, 2024 at 5:25 PM