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Hi there, tech minds!
This week, AI steps out of the lab and onto the stage and jobsite. From Björn Ulvaeus treating AI like a new bandmate to platforms like Digs wiring intelligence into home construction, we’ll look at where AI is already earning its spot in the real world.
If you’ve been wondering what “practical AI” actually looks like, these stories will give you concrete examples you can steal for your own work.
📰 Upcoming in this issue
Björn Ulvaeus Says AI Is the New Bandmate: ABBA Legend Taps Tech for Next Musical 🎶
Blueprints Meet Algorithms: Digs Raises $19M to Bring AI Into Home Construction 🏗️
43 AI Use Cases in Construction That Are Already Changing the Industry in 2025 🧠
📈 Trending news
How AI Is Quietly Rewriting Jobsite Safety
Video AI Is Becoming Construction’s New Site Supervisor
The Future of AI in Construction Is Already on Site
Björn Ulvaeus Says AI Is the New Bandmate: ABBA Legend Taps Tech for Next Musical 🎶 read the full article here
Article published: June 4, 2025
I just read Super Trouper meets supercomputer: AI helping Abba star to write musical in The Guardian, and it’s a sharp look at AI in creativity from someone who helped write the pop canon. At 80, ABBA’s Björn Ulvaeus is using AI songwriting tools as a creative assistant — not to replace him, but to break writer’s block, spark new stylistic ideas, and stretch his thinking. He even calls AI an “extension of your mind,” the latest step in his long history of embracing new music tech.
Key Takeaways:
🎼 Björn Ulvaeus is co-writing a musical with the help of AI, using it to overcome creative blocks and spark new ideas.
🤖 He views AI as a collaborator, not a threat, saying it acts like a songwriter with a vast reference library.
🎤 AI struggles with full songs and lyrics, but Ulvaeus finds value in its ability to suggest extensions and stylistic variations.
🚀 This continues Ulvaeus’s tech-forward legacy, from using early synths in ABBA to pioneering hologram concerts with ABBA Voyage.
Blueprints Meet Algorithms: Digs Raises $19M to Bring AI Into Home Construction 🏗️ read the full article here
Article published: November 6, 2025
I just read “Real estate tech startup Digs raised $19 million to build AI that makes home construction easier” in Business Insider, and it’s one of the more grounded AI use cases I’ve seen this month. Digs is an AI platform for home builders that streamlines workflows end-to-end, with DigsCanvas for pre-construction collaboration, DigsCare for warranty and aftercare, and AI-built “digital twin” 3D models to help homeowners understand and maintain their homes. The company says it already supports nearly 10,000 homes and expects to hit cash-flow positive by the end of next year.
Key Takeaways:
🧠 Digs uses AI to create 3D "digital twins" of homes, helping owners understand and maintain their biggest investment long after construction ends.
🏗️ DigsCanvas and DigsCare streamline pre-construction and warranty workflows, acting as collaborative hubs for builders, contractors, and homeowners.
💡 The platform centralizes unstructured build data, improving project transparency and reducing the "data black hole" that usually follows handoff.
📈 Digs raised $19M to scale its AI tools, aiming to reshape how builders and buyers interact before and after a home is built.
43 AI Use Cases in Construction That Are Already Changing the Industry in 2025 🧠 read the full article here
Article published: October 14, 2025
I just read 43 AI Use Cases in Construction You Need to Know in 2025 on Mastt, and it’s basically a master list of how AI is creeping into every corner of construction, from design to warranty. Teams are already using AI for contract analysis, cost control, schedule optimization, risk prediction, and automating things like timelines, proposals, and invoice reconciliation. Mastt CTO Jamie Cerexhe’s point is blunt: if you’re still running big projects manually, you’re already behind.
Key Takeaways:
📑 AI is automating key workflows across construction, from contracts and compliance to document control and meeting minutes.
📊 Cost and risk management are becoming predictive, with AI identifying overruns and potential delays before they surface.
📅 AI scheduling tools are dynamically optimizing project timelines, reacting in real-time to shifting site conditions and dependencies.
🔗 Integration platforms are centralizing project data, making it easier to collaborate, track performance, and make fast, informed decisions.
Why It Matters
That’s a wrap for this issue.
The common thread across today’s stories is simple: AI works best as a collaborator, not a replacement—whether it’s helping an 80-year-old pop legend break writer’s block or keeping complex construction projects on track. The teams winning in 2025 are the ones quietly plugging AI into specific workflows, not chasing headlines.
Hit reply and tell me which use case you’d pilot first, or forward this to a colleague who still thinks AI is “not relevant” to their industry.
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