Construction Technology Podcast

Spencer Thompson of Cardinal Civil Contracting joins Luigi, Mike, and Andrew. They dig into what makes site-development precon different from vertical work — dirt as the windshield of a job, geotech unknowns, and pricing risk as levers for owners rather than a blanket premium. Spencer also talks takeoffs, true production vs dirt counting, and why Cardinal is cautious about unleashing AI company-wide until security guardrails are real.

What if completing a construction takeoff became as simple as uploading a drawing and asking for what you need?

In this episode, we speak with Elan, CEO and co-founder of Kamai, about using AI to make takeoffs faster and easier for contractors. Elon shares how his cybersecurity background in the Israeli military led him and his co-founder, Ben, into construction technology.

We discuss why construction software must be almost effortless to adopt, how Kamai turns drawings into precise measurements, and why customers care more about cost and results than whether the underlying AI models are open or closed.

Elan also explains Kamai’s approach to distribution, including bringing its takeoff capabilities into tools contractors already use, and why conversational interfaces could fundamentally change how people interact with construction drawings.

Kyle Bonde, Senior Estimator at Hensel Phelps, joins the Construction Technology Podcast to discuss what it takes for new technology to succeed inside a major general contractor.

Kyle explains why adoption beats automation, how Hensel Phelps evaluates and implements new tools, and why software must fit an estimator’s existing workflow before it can create value at scale. The conversation covers AI takeoffs, scope generation, conceptual estimating, Copilot, custom software built with tools like Lovable, and the growing tension between established platforms and fast-moving startups.

The group also explores where preconstruction technology is heading, including more specialized takeoff tools, AI-generated interfaces, automated scope analysis, better use of historical project data, and systems that help estimators find scope gaps before they become costly problems.

A practical look at how one of the industry’s most technology-focused estimators separates useful innovation from software that is not ready for the field.

What happens when AI stops assisting the estimator and starts doing the estimate?

In this episode, we speak with Dmitry from Handoff about H1, an AI system that autonomously turns construction drawings into complete estimates. Users upload their plans and receive takeoffs, markups, scope reports, pricing, assumptions, and potential conflicts.

Dmitry explains why Handoff is focused on smaller and growing contractors, how H1 connects estimates to supplier pricing, and what it takes to build enough trust for a contractor to bid from an AI-generated estimate.

We also discuss Handoff’s broader ambition: automating the back office of a construction company, from the first estimate through project management and invoicing.

Construction still runs on phone calls, jobsite conversations, and quick decisions that rarely make it into the official project record.

Karly Heffernan, co-founder of Hardline, joins Luigi La Corte, Mike Powers, and Andrew Zukoski to discuss how contractors can turn those conversations into structured project memory without changing how field teams work.

They explore why field software often fails, how phone-call data could automate RFIs and follow-ups, the “Big Brother” concern, legal discoverability, whether construction will remain human-first, and what happens to traditional software as AI agents become more capable.

Is the most valuable data in construction hiding in phone calls?

Can AI tools like Claude actually perform construction takeoffs?

In this episode, Luigi, Andrew, and Mike test Fable/Claude against real construction projects with known ground truth. The results are mixed: AI is getting very strong at scope identification, especially across drawings and specs, but quantity takeoff is still harder to trust.

The conversation gets into where AI is already useful, where it breaks down, and why auditability matters. Can a model count doors, fans, and equipment? Yes. Can it reliably calculate concrete, drywall, paint, or labor-driven quantities without a human checking the work? That is where the debate starts.

The group also talks about whether subcontractors should use Claude today, why estimators still need to verify the outputs, and what this means for takeoff software, preconstruction workflows, and the future of AI in construction.

In this episode, Luigi, Mike and Andrew are joined by Elliot Christensen, Senior Vice President of Operations at Cleveland Construction.

The conversation starts with Cleveland’s approach to technology adoption and why labor shortages are pushing contractors to think differently about efficiency, self-perform work, and repeatable scopes. Elliot shares how Cleveland is evaluating vertical integration, where CM fees are headed, and why design-build may create better alignment between owners, architects, engineers, and GCs.

The group then gets into Cleveland’s move from Procore to Autodesk. Elliot explains why the decision was driven less by product issues and more by cost, pricing structure, platform breadth, and Autodesk’s connection to the design ecosystem. The conversation also covers what Procore could do differently, why bundled platforms are attractive to contractors, and how Autodesk’s design-build-operate strategy may play out.

The second half focuses on Cleveland’s technology stack and startup adoption. Elliot explains why Cleveland is all in on Trunk Tools, where OpenSpace, Box AI, Breadcrumb, and Autodesk fit, and how AI agents could change the way project managers work. The episode closes with a rapid-fire round on overhyped categories, software buying advice, and why construction software fails when the field does not buy in.

Takeaways

• Cleveland moved from Procore to Autodesk primarily because of cost structure and platform economics
• Autodesk’s advantage is its connection to design, build, and operate workflows
• Contractors are under pressure to do more with lower CM fees
• Point solutions are harder to justify unless they solve several problems well
• Cleveland is betting heavily on Trunk Tools for drawings, RFIs, submittals, and construction-specific AI
• Box AI is useful for internal experimentation because the data is already there and the cost is capped
• AI agents may eventually shift project managers from managing paperwork to managing workflows and exceptions
• Field adoption is still the hardest part of construction software

Chapters

00:00 Introduction and Cleveland Construction’s approach to tech
01:17 Labor shortages and the need for efficiency
02:37 Self-perform work and repeatable scopes
04:41 Declining CM fees and vertical integration
05:08 Why design-build may win
08:10 Takeoffs, BIM, and risk transfer
15:38 Cleveland’s move from Procore to Autodesk
18:37 The cost savings behind the switch
19:11 Autodesk vs. Procore functionality
20:36 What keeps Cleveland on Autodesk long term
23:42 Autodesk’s design-build-operate advantage
27:57 What Procore should change
34:13 Why contractors cannot afford too many point solutions
36:51 Cleveland’s Trunk Tools bet
38:25 OpenSpace, Breadcrumb, Box AI, and Cleveland’s core stack
41:03 Token spend and capped AI costs
43:51 Why Trunk Tools is different from horizontal AI tools
47:53 Could Autodesk catch up on AI?
50:24 Project managers managing agents
52:33 Startup opportunities in quality control
55:22 Rapid fire: overhyped categories, pilots, and software buying advice

In this episode, Andrew, Mike and Luigi are joined by Micah, Head of Preconstruction at Knutson Construction, for a conversation on where preconstruction is headed and how AI may reshape the role of estimators, architects, engineers, and builders.

The discussion starts with delegated design and delegated scoping. Micah breaks down how design responsibility is shifting across project teams, why that creates risk for general contractors and trade partners, and how better coordination earlier in the process can reduce downstream issues.

From there, the conversation moves into design-build, architectural control, design iterations, and the tension between optimization and accountability. The group explores how contractors can empower architects and engineers while still giving preconstruction teams the clarity they need to price, plan, and manage risk.

The episode also covers construction technology adoption, in-house software development, change management, and why adoption has to happen from the bottom up. The conversation closes with a look at how the estimator role is changing, the challenges of project initiation and collaboration, facility condition assessments, and a speed round of predictions for the future of construction.

Takeaways

• Delegated design is changing how risk moves through construction projects
• Preconstruction teams need better clarity earlier in the design process
• Design-build creates opportunities, but also new coordination challenges
• Estimators are moving from quantity takeoff toward risk, strategy, and decision support
• Construction technology adoption requires change management, not just better software
• Bottom-up adoption matters because the people closest to the work know where the friction is
• AI may help preconstruction teams move faster, but only if the inputs, workflows, and incentives are clear

Chapters

00:00 Introduction and Friday Greetings
05:39 Delegated Scoping and Design-Build
13:10 Delegated Design’s Impact on Other Trades
22:03 Software Adoption and Change Management
29:28 The Transition to Preconstruction
36:07 Project Initiation and Collaboration Challenges
47:01 Facility Condition Assessment and Future Planning

Takeaways

• Delegated design is impacting the construction industry
• Adoption of construction technology requires change management and a bottom-up approach Changing role of estimators
• Impact of technology on preconstruction

Chapters

• 00:00 Introduction and Friday Greetings
• 05:39 Delegated Scoping and Design Build
• 13:10 Delegated Design Impact on Other Trades
• 22:03 Software Adoption and Change Management
• 29:28 Transition to Preconstruction
• 36:07 Project Initiation and Collaboration Challenges
• 47:01 Facility Condition Assessment and Future Planning

In this episode, Luigi is joined by Andrew from Join and Mike from Build Vision for a roundtable on the future of construction technology, AI infrastructure, and SpaceX.

The conversation starts with the rumored SpaceX IPO and the bull and bear cases for buying into one of the most unusual companies in the world. The group debates whether SpaceX is a defensible launch and Starlink business, a public market funding vehicle for Elon’s larger ambitions, or an AI infrastructure company hiding inside a space company.

From there, the episode moves into data centers, chip cooling, and the physical limits of AI. Mike breaks down why cooling requirements are changing, how newer chips are reshaping mechanical systems, and why manufacturers, reps, and contractors may need to rethink how data centers are designed, prefabricated, and serviced.

The discussion also gets into space-based data centers, edge computing, open source models, hyperscaler capex, and whether the future of AI will be won by the companies that own the durable infrastructure layer rather than the model layer.

Takeaways

• SpaceX may be less of a normal IPO and more of a capital vehicle for long-term industrial bets
• The bull case depends on launch, Starlink, compute, chips, and vertical integration
• The bear case is valuation, AI spend, and whether Grok can matter against OpenAI and Anthropic
• Data center growth is creating real construction, manufacturing, and cooling constraints
• Cooling technology is changing as chips move from air and chilled water toward new heat rejection systems
• Prefabrication and modular skids may become more important in data center construction
• Space-based data centers sound absurd, but the debate exposes the real limits of power, cooling, land, and politics on Earth
• The future of AI may depend less on the best model and more on who owns power, compute, launch capacity, and infrastructure

Chapters

00:00 Introduction and SpaceX IPO
06:19 The SpaceX valuation debate
17:07 AI spend, chips, and vertical integration
22:34 Bull and bear cases for SpaceX
27:04 Space data centers and power constraints
37:02 Data center cooling requirements
41:31 Data center construction and prefabrication
55:34 Edge computing, open source models, and the AI infrastructure loop

Here’s a cleaner version:

In this episode, we break down Autodesk’s acquisition of MaintainX and what it signals about the future of construction technology.

The conversation starts with Autodesk’s broader strategy: its move toward full lifecycle ownership, the role of acquisitions in expanding its platform, and how MaintainX could fit into its existing customer base. We also look at Autodesk’s business mix across AEC, media and entertainment, reality capture, and construction technology.

From there, the discussion moves into AI infrastructure and the economics behind it. We cover token spend, budget pressure, open source models, edge computing, electricity costs, hyperscalers, and the role of foundation models in shaping the next generation of software.

The episode closes with a deeper look at Palantir’s potential impact on construction. We discuss how Palantir could compete with Procore and Autodesk, where it may gain share, and what the next few years could look like as AI-native platforms move further into construction workflows.

Takeaways

• Autodesk’s acquisition of MaintainX signals a deeper push into construction operations
• Autodesk is expanding toward a broader full lifecycle platform
• AI infrastructure costs will shape how software companies build and price products
• Edge computing and open source models may change the economics of AI
• Hyperscalers remain central to the foundation model landscape
• Palantir could become a more serious player in construction technology
• The competition between Autodesk, Procore, and Palantir is worth watching

Chapters

00:00 Introduction and Baby Talk
06:19 Autodesk’s Expansion into Media and Entertainment
17:07 Budgetary Issues and Token Spend in AI
22:34 The Future of Infrastructure Cost
28:36 Palantir’s Impact on the Construction Industry
39:02 Palantir vs. Procore and Autodesk