Digital Builder

Industrialized construction is gaining momentum, but scaling it takes more than new technology. It requires new ways of working and a workforce equipped with the skills to bridge design, manufacturing, and construction.
In this episode of Digital Builder, Eric Thomas sits down with Ryan McMahon, General Manager of Informed Design at Autodesk, and Chad Ray, Provost and Chief Campus Officer at Wake Technical Community College, to explore where industrialized construction is headed and how industry and education can work together to prepare the next generation of talent.
In this episode, we discuss:
Why industrialized construction is gaining momentum across AEC
How repeatability and manufacturing principles can improve productivity, quality, and reduce waste
Why breaking down silos between design, manufacturing, and construction is critical
How industry and education can work together to prepare students for emerging careers
The new skills and roles industrialized construction could bring to AEC
What it will take for industrialized construction to move from emerging practice to business as usual

Want to dig deeper? Explore Autodesk’s 2026 State of Design & Make: Spotlight on Industrialized Construction to see how organizations are scaling industrialized construction to improve speed, quality, cost certainty, and schedule predictability. Explore the report here: https://www.autodesk.com/design-make/research/industrialized-construction-spotlight-report-2026?utm_source=digital-builder&utm_medium=referral&utm_campaign=ic-spotlight
Digital Builder is hosted by Eric Thomas from Autodesk.

AI in AECO is moving beyond experimentation. The focus is shifting from what the technology could do to how teams can use it to solve real problems, automate work, and deliver better outcomes.
In this episode of Digital Builder, recorded live at Autodesk University, host Eric Thomas sits down with Ben Cochran, VP of Developer Enablement at Autodesk, and Peter Madlener, CEO of VIKTOR, to explore what that shift means for the future of engineering and construction.
They discuss how AI is lowering the barrier to automation, why verification and trust are critical to moving beyond proof of concept, and how agentic AI could shift workflows from starting with a tool to starting with an outcome. They also look at the human side of this transformation and why domain expertise, systems thinking, judgment, and curiosity may become even more valuable as AI takes on more of the work.
In this episode, you’ll learn:
How AI is moving from experimentation toward practical, trusted outcomes
Why AI, APIs, and automation are becoming accessible to more people across AECO
How outcome-driven and agentic workflows could reshape the way teams work
Why verification and trust are essential to turning AI demos into real business value
Which human skills become more important as AI handles more technical and repetitive work

Digital Builder is hosted by Eric Thomas from Autodesk.

What if AI could connect BIM models, schedules, jobsite photos, sensor data, RFIs, and other project information to create a real-time understanding of what's happening on a construction site?
On this episode of Digital Builder, host Eric Thomas is joined by Chris Bayes, Director of Construction Technology at Hawaiian Dredging Construction Company, and Fikret Kalay, Director at Autodesk Research, to discuss a collaborative research initiative exploring exactly that. Together, they're investigating how connected project data and AI-driven insights could help teams identify risks earlier, understand the root causes behind issues, and make better decisions throughout the construction lifecycle.
In this episode, we discuss:
Why construction teams struggle to turn massive amounts of project data into actionable insights
The importance of connecting data, workflows, and context across the construction lifecycle
How Autodesk Research and Hawaiian Dredging are exploring AI to create a more complete picture of what's happening on the jobsite
How AI can help teams understand not just what happened, but why it happened
The opportunity to preserve institutional knowledge and shift from experience-based to data-based decision-making
What AI-powered risk management, jobsite simulation, and decision support could look like in the years ahead

Tune in to learn how this research could help construction teams move beyond collecting data and start turning it into understanding.

AI is only as good as the data behind it. As construction teams generate more information than ever before, the challenge is no longer collecting data. It's making sure that data is accurate, trustworthy, and useful.
On this episode of Digital Builder, host Eric Thomas sits down with Eddy Krygiel, Senior Manager of AEC Data Model Strategy at Autodesk, to explore why data quality has become one of the most important foundations for successful AI adoption. From the rapid growth of project information to the risks of poor data and the role AI can play in improving it, Eddy shares practical insights on how organizations can turn project information into a long-term business asset.
They also discuss why successful AI strategies start with clear outcomes, how owners can identify the data that actually matters, and why perfection shouldn't stand in the way of progress.
In this episode, you'll learn:
Why more project data doesn't automatically create more value
How poor-quality data impacts AI outputs and business decisions
Practical ways teams can improve data quality without trying to fix everything at once
What separates successful AI initiatives from approaches that introduce new risks
How organizations can build a scalable data strategy focused on long-term value
Why humans remain essential for providing context, even as AI becomes more capable

Listen now to hear how construction teams can build trust in their data, unlock more value from AI, and create a stronger foundation for the future of digital project delivery.
Digital Builder is hosted by Eric Thomas from Autodesk.

Architecture shapes nearly every part of our lives, but what if its true purpose isn't creating buildings, but creating places where people can thrive?
In this episode of Digital Builder, Eric Thomas sits down with Katie Swenson, Senior Principal at MASS (Model of Architecture Serving Society), to explore how thoughtful design can support healing, dignity, and long-term community impact. Katie shares why she calls herself a "Home Maker," (with a capital H and a capital M) how MASS helps mission-driven organizations achieve their goals through the built environment, and why success should be measured by outcomes, not just schedules and budgets.
In this episode, we discuss:
·Why Katie describes herself as a “Home Maker” and what that means for the practice of architecture.
·How architecture affects everyday life and serves as the platform for how people live, work, heal, and learn.
·Why MASS starts with mission and outcomes rather than buildings and construction plans.
·The concept of accompaniment and how long-term partnerships can create lasting impact.
·Lessons from Butaro District Hospital and how design can support both health outcomes and human dignity.
·How MASS measures success through organizational outcomes rather than traditional project metrics.
·Why beauty, nature, and thoughtful design choices play a critical role in healing and wellbeing.
·How projects like the Dian Fossey Gorilla Fund campus demonstrate architecture’s ability to expand an organization's ambitions and impact.
Digital Builder is hosted by Eric Thomas from Autodesk.