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The Shifts Practice Leaders Are Starting to Notice
This week’s conversation felt like a turning point.
Not because of a single tool, announcement, or trend but because of how openly architects are starting to talk about responsibility, judgement, and value as AI becomes embedded in practice. The posts, messages, and discussions that gained the most traction were not chasing novelty. They were grappling with what this shift actually means for how architecture is practiced, led, and priced.
This edition pulls together what sparked the most discussion, the theme that connected it all, and a small set of tools worth paying attention to, not as answers, but as signals.
Let’s get into it.👇
What Sparked the Most Discussion This Week
Here’s what resonated most:
1. 10 things architects actually took away from the RIBA AI in Practice Summit. If you weren’t in the room, read this.
2. Want a clear signal of where architecture is heading? Here are my Top 5 Global Architecture Events for 2026
Click here to see the full post: LinkedIn
I have a discount code for this: ATNsummitADDD - for 15% off tickets to the Architect Network Summit. Link to event: www.eventbrite.co.uk/e/1975788870699/?discount=ATNsummitADDD
3. Your legacy design tool has officially been dethroned. BIM 2.0 is a different beast.
Click here to see the full post: LinkedIn
Theme of the Week: AI isn’t a tool problem. It’s a professional responsibility problem.
The most important takeaway from the RIBA AI in Practice Summit wasn’t about software, speed, or output. It was about judgement, accountability, and culture.
What came through clearly is that AI is already embedded in day-to-day practice. The real question now is not whether architects use it, but how consciously they do. Practices that treat AI as a shortcut risk hollowing out trust, creativity, and professional value. Practices that treat it as a thinking partner are starting to reshape how decisions are made, risks are managed, and value is defined.
This week’s theme is about shifting the conversation away from tools and toward intent. Toward culture before platforms. Toward responsibility before efficiency. And toward redefining value in a profession that can no longer afford to tie its worth purely to time spent.
AI is not anti-architecture.
But it does force architecture to be explicit about what it stands for.
That’s the conversation worth having, and it’s only just beginning.
5 Tools worth exploring!
Rather than “best tools,” these are the tools I found out about this week:
Acelab | Building Product Discovery, Comparison & Specification: The all-in-one materials management platform. Acelab's Material Hub empowers A&D firms and owners to seamlessly research, select, and document materials. Make better decisions, enhance coordination, and improve project outcomes.
Best suited for: Architects / Engineers / Contractors / GCs
Fits in workflow: Stage completion
Contact: Vardhan Mehta
laiout - Automated floor plans in seconds for Architects. From weeks of back and forth to a single meeting, with all your floor plans concluded on the spot in a collaborative way. Go from an empty floor to a filled up architectural floor plan in as little as 4 clicks and leverage increased optionality, data insights and sustainability advantages.
Best suited for: Architects / Developers / Commercial
Fits in workflow: early
Contact: Cristiano Coretti
f-f models by Ismail Seleit - Mass to Image: The Complete AI Visualization Ecosystem. Turn Simple Massing Models into Award-Winning Architectural Visualizations. "Mass to Image" is a complete ecosystem designed specifically for Architects and Interior Designers who want to harness the power of AI without becoming "Prompt Engineers."
Best suited for: Architects and Interior Designers and Computational Designers
Fits in workflow: Early to mid stages
Contact here: Ismail Seleit
Arctis AI: The AI Platform for Construction Contract Management - Arctis AI is the contract operating system for construction professionals, turning complex documents into clarity, alignment, and control.
Best suited for: Architects, Engineers, Project Managers, Contract Lead
Fits in workflow: early - late
Contact: Dila Ekrem
UrbanEyes - Site Analysis Tool for Architects, Planners & Urban Designers | GIS Analysis & Concept Planning - Streamline your site analysis. Go from zero data to quantified metrics, contextual maps, cost estimates, and environmental simulations in just 15 minutes.
Best suited for: Developers and Contractors / GCs
Fits in workflow: Early - mid
Contact: Vinayak Tiwari
Free Resource: Explore the ConTech Landscape
If you’re scanning this space, I maintain a free ConTech database covering hundreds of tools across architecture, engineering, and construction.
I use it as a starting point before advising practices, not as an answer in itself.
→ Browse the database here: https://contechdatabase.softr.app/
What This Means for Practice Leaders
For practice leaders, this is no longer about whether to adopt AI but about setting direction. AI is already in use across teams, often informally, and a lack of leadership clarity quickly becomes the default policy. What teams need is intent. Why AI is being used, where judgement must remain human, and where accountability sits.
The practices making progress are not chasing tools. They are setting cultural guardrails, treating AI as a thinking partner rather than a shortcut, and being explicit about responsibility, quality, and risk. That clarity matters for trust, insurance, and reputation.
There is also a commercial reality to face. If fees stay tied to time while AI reduces effort, value will erode. Leaders need to start redefining value around judgement, outcomes, and risk reduction. AI raises the bar for leadership. The question is whether practices shape it deliberately or let it shape them by default.
ADDDitive is written to help you spot those pressure points before they become problems, and to frame technology as a leadership and operating-model question, not an IT one.
One Role Worth Noticing This Week
Founding Full Stack Engineer - xFigura
Join xFigura as a Founding Engineer, working directly with the CEO and Head of R&D to build the core systems behind an AI-native design platform used by leading architecture firms, designers, and universities.
This role focuses on foundational work: orchestrating generative models, powering collaborative canvas tooling, integrating with CAD ecosystems, and shaping the platform architecture that everything else builds on.
We already have production usage and enterprise adoption. The next phase is scaling capability, performance, and infrastructure.
If you’re still treating design technology as a support function, roles like this show how far ahead the market leaders already are.
→ View role: Here
See all roles here: www.aectechjobs.com/search
One Next Step
If this issue resonated, let’s have a chat:
→ Book a short diagnostic call - Click here
No pressure, just a next step if useful.
One Question for You
When evaluating new software, what’s harder right now: deciding what to trust, who should decide, or what to remove from your existing workflow?
Hit reply, I read every response.
This newsletter exists to help architects navigate technology with confidence, not hype by focusing on workflows, decisions, and real practice constraints.
Thanks for reading!
Allister
