Jan 2, 2019 · 36m · a16z

a16z Podcast | Construction Under Tech -- The Build

Saurabh Ladha · 11m spoken Martin Fischer · 8m spoken Christopher Rippingham · 7m spoken Hanne Tidnam · 6m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Host Hannah speaks with Stanford professor Martin Fischer, Doxel CEO Saurabh Ladha, and DPR Construction leader Christopher Rippingham about how AI, robotics, and 3D computer vision are transforming construction. The discussion highlights strategies for eliminating rework, establishing real-time feedback loops between design and field execution, and boosting overall industry productivity.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The host as informed peer 2.7 Guest teaching 2.8 Guest disagreement 0.5 The host pushing back 1.2
05100:0010:0020:0030:003:08–5:13 · The host as informed peer 2/10 Contracting Models and On-Site Trust Dynamics The host asks about site onboarding and trust issues across contracting models. Martin Fischer gently corrects the intuitive assumption that advanced tech is adopted on collaborative sites first, noting it often starts on low-trust sites as defensive documentation.5:13–9:00 · The host as informed peer 3/10 Construction Productivity Deficits and Missing Feedback Loops Saurabh Ladha highlights severe cost overruns and lack of real-time feedback in construction. The host pushes back by asking whether contractors using clipboards count as a feedback loop, prompting Martin Fischer to share study data showing zero formal feedback loops across 19 global projects.9:00–11:49 · The host as informed peer 3/10 Automated Site Sensing and Real-Time AI Tracking Martin Fischer and Saurabh Ladha explain autonomous site sensing and automated progress tracking. The host asks clarifying questions about data overload and manual tracking failures.11:49–13:55 · The host as informed peer 3/10 Historical Productivity Data and Object-Level Tracking Granularity Christopher Rippingham and Saurabh Ladha discuss historical productivity data and object-level estimation. The host introduces an escape room analogy, which Saurabh builds upon to explain hyper-granular data.13:55–17:22 · The host as informed peer 3/10 MEPF Complexity, Workspace Dynamics, and Rework Costs The host questions the technical limits of computer vision regarding obscured elements like wiring inside walls. Saurabh Ladha clarifies LiDAR capabilities and explains trade coordination issues in MEPF stages, noting that rework accounts for 20% of costs.17:22–21:32 · The host as informed peer 2/10 On-Site Execution, Prefabrication, and Automated Gantt Charts Christopher Rippingham and Saurabh Ladha discuss fast-paced prefabrication and automated Gantt chart scheduling updates. The host asks simple follow-up questions about fast-moving site cultures and AI readability.21:32–24:17 · The host as informed peer 3/10 3D Computer Vision and Deep Learning Training Challenges Saurabh Ladha explains the transition from traditional support vector machines to 3D deep learning model training. The host demonstrates familiarity with ML classification concepts by referencing edge-case training problems.24:17–26:58 · The host as informed peer 3/10 Cultural Shifts, Quality Scores, and Time-to-Market Benefits The host asks if robotic monitoring creates an intrusive surveillance dynamic on site workers. Christopher Rippingham reframes this, explaining that using data for finger-pointing ruins business relationships, whereas objective error-catching fosters trust.26:58–29:32 · The host as informed peer 2/10 Financial Transparency and Objective Fact-Checking Saurabh Ladha details how objective 3D scans resolve payment disputes and cash flow bottlenecks between contractors and subcontractors. The conversation remains highly collaborative.29:32–32:35 · The host as informed peer 3/10 Regulatory Compliance, Drones, and Digital Building Inspections The host asks about regulatory and airspace hurdles when deploying drones and robots on active construction sites. Saurabh Ladha clarifies FAA Part 107 compliance and points out that 80% of construction expenditure occurs indoors.3:08–5:13 · Guest teaching 3/10 Contracting Models and On-Site Trust Dynamics The host asks about site onboarding and trust issues across contracting models. Martin Fischer gently corrects the intuitive assumption that advanced tech is adopted on collaborative sites first, noting it often starts on low-trust sites as defensive documentation.5:13–9:00 · Guest teaching 4/10 Construction Productivity Deficits and Missing Feedback Loops Saurabh Ladha highlights severe cost overruns and lack of real-time feedback in construction. The host pushes back by asking whether contractors using clipboards count as a feedback loop, prompting Martin Fischer to share study data showing zero formal feedback loops across 19 global projects.9:00–11:49 · Guest teaching 3/10 Automated Site Sensing and Real-Time AI Tracking Martin Fischer and Saurabh Ladha explain autonomous site sensing and automated progress tracking. The host asks clarifying questions about data overload and manual tracking failures.11:49–13:55 · Guest teaching 2/10 Historical Productivity Data and Object-Level Tracking Granularity Christopher Rippingham and Saurabh Ladha discuss historical productivity data and object-level estimation. The host introduces an escape room analogy, which Saurabh builds upon to explain hyper-granular data.13:55–17:22 · Guest teaching 3/10 MEPF Complexity, Workspace Dynamics, and Rework Costs The host questions the technical limits of computer vision regarding obscured elements like wiring inside walls. Saurabh Ladha clarifies LiDAR capabilities and explains trade coordination issues in MEPF stages, noting that rework accounts for 20% of costs.17:22–21:32 · Guest teaching 2/10 On-Site Execution, Prefabrication, and Automated Gantt Charts Christopher Rippingham and Saurabh Ladha discuss fast-paced prefabrication and automated Gantt chart scheduling updates. The host asks simple follow-up questions about fast-moving site cultures and AI readability.21:32–24:17 · Guest teaching 3/10 3D Computer Vision and Deep Learning Training Challenges Saurabh Ladha explains the transition from traditional support vector machines to 3D deep learning model training. The host demonstrates familiarity with ML classification concepts by referencing edge-case training problems.24:17–26:58 · Guest teaching 3/10 Cultural Shifts, Quality Scores, and Time-to-Market Benefits The host asks if robotic monitoring creates an intrusive surveillance dynamic on site workers. Christopher Rippingham reframes this, explaining that using data for finger-pointing ruins business relationships, whereas objective error-catching fosters trust.26:58–29:32 · Guest teaching 2/10 Financial Transparency and Objective Fact-Checking Saurabh Ladha details how objective 3D scans resolve payment disputes and cash flow bottlenecks between contractors and subcontractors. The conversation remains highly collaborative.29:32–32:35 · Guest teaching 3/10 Regulatory Compliance, Drones, and Digital Building Inspections The host asks about regulatory and airspace hurdles when deploying drones and robots on active construction sites. Saurabh Ladha clarifies FAA Part 107 compliance and points out that 80% of construction expenditure occurs indoors.3:08–5:13 · Guest disagreement 1/10 Contracting Models and On-Site Trust Dynamics The host asks about site onboarding and trust issues across contracting models. Martin Fischer gently corrects the intuitive assumption that advanced tech is adopted on collaborative sites first, noting it often starts on low-trust sites as defensive documentation.5:13–9:00 · Guest disagreement 1/10 Construction Productivity Deficits and Missing Feedback Loops Saurabh Ladha highlights severe cost overruns and lack of real-time feedback in construction. The host pushes back by asking whether contractors using clipboards count as a feedback loop, prompting Martin Fischer to share study data showing zero formal feedback loops across 19 global projects.9:00–11:49 · Guest disagreement 0/10 Automated Site Sensing and Real-Time AI Tracking Martin Fischer and Saurabh Ladha explain autonomous site sensing and automated progress tracking. The host asks clarifying questions about data overload and manual tracking failures.11:49–13:55 · Guest disagreement 0/10 Historical Productivity Data and Object-Level Tracking Granularity Christopher Rippingham and Saurabh Ladha discuss historical productivity data and object-level estimation. The host introduces an escape room analogy, which Saurabh builds upon to explain hyper-granular data.13:55–17:22 · Guest disagreement 1/10 MEPF Complexity, Workspace Dynamics, and Rework Costs The host questions the technical limits of computer vision regarding obscured elements like wiring inside walls. Saurabh Ladha clarifies LiDAR capabilities and explains trade coordination issues in MEPF stages, noting that rework accounts for 20% of costs.17:22–21:32 · Guest disagreement 0/10 On-Site Execution, Prefabrication, and Automated Gantt Charts Christopher Rippingham and Saurabh Ladha discuss fast-paced prefabrication and automated Gantt chart scheduling updates. The host asks simple follow-up questions about fast-moving site cultures and AI readability.21:32–24:17 · Guest disagreement 0/10 3D Computer Vision and Deep Learning Training Challenges Saurabh Ladha explains the transition from traditional support vector machines to 3D deep learning model training. The host demonstrates familiarity with ML classification concepts by referencing edge-case training problems.24:17–26:58 · Guest disagreement 2/10 Cultural Shifts, Quality Scores, and Time-to-Market Benefits The host asks if robotic monitoring creates an intrusive surveillance dynamic on site workers. Christopher Rippingham reframes this, explaining that using data for finger-pointing ruins business relationships, whereas objective error-catching fosters trust.26:58–29:32 · Guest disagreement 0/10 Financial Transparency and Objective Fact-Checking Saurabh Ladha details how objective 3D scans resolve payment disputes and cash flow bottlenecks between contractors and subcontractors. The conversation remains highly collaborative.29:32–32:35 · Guest disagreement 0/10 Regulatory Compliance, Drones, and Digital Building Inspections The host asks about regulatory and airspace hurdles when deploying drones and robots on active construction sites. Saurabh Ladha clarifies FAA Part 107 compliance and points out that 80% of construction expenditure occurs indoors.3:08–5:13 · The host pushing back 1/10 Contracting Models and On-Site Trust Dynamics The host asks about site onboarding and trust issues across contracting models. Martin Fischer gently corrects the intuitive assumption that advanced tech is adopted on collaborative sites first, noting it often starts on low-trust sites as defensive documentation.5:13–9:00 · The host pushing back 2/10 Construction Productivity Deficits and Missing Feedback Loops Saurabh Ladha highlights severe cost overruns and lack of real-time feedback in construction. The host pushes back by asking whether contractors using clipboards count as a feedback loop, prompting Martin Fischer to share study data showing zero formal feedback loops across 19 global projects.9:00–11:49 · The host pushing back 1/10 Automated Site Sensing and Real-Time AI Tracking Martin Fischer and Saurabh Ladha explain autonomous site sensing and automated progress tracking. The host asks clarifying questions about data overload and manual tracking failures.11:49–13:55 · The host pushing back 1/10 Historical Productivity Data and Object-Level Tracking Granularity Christopher Rippingham and Saurabh Ladha discuss historical productivity data and object-level estimation. The host introduces an escape room analogy, which Saurabh builds upon to explain hyper-granular data.13:55–17:22 · The host pushing back 2/10 MEPF Complexity, Workspace Dynamics, and Rework Costs The host questions the technical limits of computer vision regarding obscured elements like wiring inside walls. Saurabh Ladha clarifies LiDAR capabilities and explains trade coordination issues in MEPF stages, noting that rework accounts for 20% of costs.17:22–21:32 · The host pushing back 1/10 On-Site Execution, Prefabrication, and Automated Gantt Charts Christopher Rippingham and Saurabh Ladha discuss fast-paced prefabrication and automated Gantt chart scheduling updates. The host asks simple follow-up questions about fast-moving site cultures and AI readability.21:32–24:17 · The host pushing back 1/10 3D Computer Vision and Deep Learning Training Challenges Saurabh Ladha explains the transition from traditional support vector machines to 3D deep learning model training. The host demonstrates familiarity with ML classification concepts by referencing edge-case training problems.24:17–26:58 · The host pushing back 2/10 Cultural Shifts, Quality Scores, and Time-to-Market Benefits The host asks if robotic monitoring creates an intrusive surveillance dynamic on site workers. Christopher Rippingham reframes this, explaining that using data for finger-pointing ruins business relationships, whereas objective error-catching fosters trust.26:58–29:32 · The host pushing back 0/10 Financial Transparency and Objective Fact-Checking Saurabh Ladha details how objective 3D scans resolve payment disputes and cash flow bottlenecks between contractors and subcontractors. The conversation remains highly collaborative.29:32–32:35 · The host pushing back 1/10 Regulatory Compliance, Drones, and Digital Building Inspections The host asks about regulatory and airspace hurdles when deploying drones and robots on active construction sites. Saurabh Ladha clarifies FAA Part 107 compliance and points out that 80% of construction expenditure occurs indoors.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 0% · guest 100%0:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%
Sharpest disagreement ▶ 24:26 Rejecting finger-pointing surveillance framing

Christopher Rippingham firmly rejects the host's suggestion that site AI functions as human surveillance, pointing out that using technology to point fingers leads to going out of business.

Hardest push from the host ▶ 6:21 Challenging the 'no feedback' premise

The host directly challenges Saurabh Ladha's claim that construction operates without feedback, insisting that contractors standing on site with clipboards constitute an attempt at feedback.

Biggest teaching moment ▶ 4:29 Low-trust tech adoption reality check

Martin Fischer corrects the common assumption that collaborative projects adopt tech first, revealing that advanced monitoring tech is initially adopted on low-trust sites as a self-defense mechanism.

The host holds their own ▶ 13:31 Technical edge-case questioning

The host demonstrates technical skepticism by pressing Saurabh Ladha on how computer vision alone can verify hidden work like electrical wiring behind walls.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Contracting Models and On-Site Trust Dynamics 2311 The host asks about site onboarding and trust issues across contracting models. Martin Fischer gently corrects the intuitive assumption that advanced tech is adopted on collaborative sites first, noting it often starts on low-trust sites as defensive documentation.
Construction Productivity Deficits and Missing Feedback Loops 3412 Saurabh Ladha highlights severe cost overruns and lack of real-time feedback in construction. The host pushes back by asking whether contractors using clipboards count as a feedback loop, prompting Martin Fischer to share study data showing zero formal feedback loops across 19 global projects.
Automated Site Sensing and Real-Time AI Tracking 3301 Martin Fischer and Saurabh Ladha explain autonomous site sensing and automated progress tracking. The host asks clarifying questions about data overload and manual tracking failures.
Historical Productivity Data and Object-Level Tracking Granularity 3201 Christopher Rippingham and Saurabh Ladha discuss historical productivity data and object-level estimation. The host introduces an escape room analogy, which Saurabh builds upon to explain hyper-granular data.
MEPF Complexity, Workspace Dynamics, and Rework Costs 3312 The host questions the technical limits of computer vision regarding obscured elements like wiring inside walls. Saurabh Ladha clarifies LiDAR capabilities and explains trade coordination issues in MEPF stages, noting that rework accounts for 20% of costs.
On-Site Execution, Prefabrication, and Automated Gantt Charts 2201 Christopher Rippingham and Saurabh Ladha discuss fast-paced prefabrication and automated Gantt chart scheduling updates. The host asks simple follow-up questions about fast-moving site cultures and AI readability.
3D Computer Vision and Deep Learning Training Challenges 3301 Saurabh Ladha explains the transition from traditional support vector machines to 3D deep learning model training. The host demonstrates familiarity with ML classification concepts by referencing edge-case training problems.
Cultural Shifts, Quality Scores, and Time-to-Market Benefits 3322 The host asks if robotic monitoring creates an intrusive surveillance dynamic on site workers. Christopher Rippingham reframes this, explaining that using data for finger-pointing ruins business relationships, whereas objective error-catching fosters trust.
Financial Transparency and Objective Fact-Checking 2200 Saurabh Ladha details how objective 3D scans resolve payment disputes and cash flow bottlenecks between contractors and subcontractors. The conversation remains highly collaborative.
Regulatory Compliance, Drones, and Digital Building Inspections 3301 The host asks about regulatory and airspace hurdles when deploying drones and robots on active construction sites. Saurabh Ladha clarifies FAA Part 107 compliance and points out that 80% of construction expenditure occurs indoors.

Statements from this episode (22)

Assertion Not checkable as stated
Rippingham: Construction Workers Receive Massively Overbroad Plan Sets
“Right now, we're basically giving an entire set of plans over to a construction worker in the field, and that could be thousands of pages of information that maybe only a handful, you know, a hundred pages are useful for that one specific person.”
Christopher Rippingham Jan 2, 2019 ▶ 1:45
Insight
Fischer: Design Phase Uncertainty Multiplies During Construction Execution
“Any uncertainty in information that exists from the design phase gets multiplied in construction. It doesn't get simpler.”
Martin Fischer Jan 2, 2019 ▶ 2:26
Insight
Rippingham: Traditional Contracting Models Hinder Construction Site Trust
“The traditional design, bid, build atmosphere doesn't lend itself to that trust. But when you get towards integrated project delivery or design, build type contracts, there's a lot more trust that has to be established with the design team, and there's a lot m…”
Christopher Rippingham Jan 2, 2019 ▶ 4:08
Insight
Fischer: Low-Trust Construction Projects Drive Early Tech Adoption
“I have seen more initial adoption of advanced technologies in projects with little trust. Somebody says, Ooh, this is a really good tool. I can defend myself if necessary. I can be on top of the food chain because I have all the information that the others don…”
Martin Fischer Jan 2, 2019 ▶ 4:30
Assertion Partly supported
Ladha: 98% of $1B+ Construction Megaprojects Run 80% Over Budget
“98% of construction projects above a billion dollars run on average 80% over budget.”
Saurabh Ladha Jan 2, 2019 ▶ 5:17
Assertion Contradicted
Fischer: Study of 19 Global Construction Projects Found Zero Feedback Loops
“So in a study of 19 projects from 19 different companies who just span the globe, and our research has shown that people don't have feedback loops, period. I mean, just informal. And then, and certainly not on a project, not from week to week, not on projects,…”
Martin Fischer Jan 2, 2019 ▶ 7:07
Assertion Not checkable as stated
Fischer: Automated Construction Site Sensing Only Emerged Recently
“The big difference really in the last two years has been the ability to sense what's going on on a construction site. That's something we have never had in the history of construction, right?”
Martin Fischer Jan 2, 2019 ▶ 9:01
Prediction Not checkable as stated
Fischer: Construction Will Eventually Match Baseball's Level of Data Analytics
“Eventually we will have all of this data, you know, like a baseball coach has this kind of data for who to send out for pitching in various situations, but we don't have it in construction.”
Martin Fischer Jan 2, 2019 ▶ 11:30
Insight
Fischer: Objective Site Data Builds Trust Between Construction Partners
“In my experience, the technology actually builds trust. Everybody functions on the beliefs and the things they remember. If we have the data, we can start to gain trust in each other.”
Martin Fischer Jan 2, 2019 ▶ 12:13
Assertion Not checkable as stated
Ladha: Most Construction Challenges Occur at the MEPF Stage
“Most of the issues, as well as the progress challenges, the progress management challenges in construction take place at the MEPF stage, the mechanical, electrical, plumbing, and fire stage.”
Saurabh Ladha Jan 2, 2019 ▶ 14:00
Assertion Partly supported
Ladha: Rework Accounts for 20% of Total Construction Costs
“So, 20% of construction costs are usually reworked costs.”
Saurabh Ladha Jan 2, 2019 ▶ 15:27
Insight
Fischer: Construction Uniquely Requires Managing Continuously Changing Physical Workspaces
“But in manufacturing, you don't have to deal with the workspace. In construction, you have to allow for the workspace that a work crew needs, and the space is changing over time.”
Martin Fischer Jan 2, 2019 ▶ 16:07
Prediction Not checkable as stated
Rippingham: Daily Error Detection Can Halve Construction Rework Costs
“And so maybe if we're able to cut that 20 down into 10% because we've caught errors, you know, in a day instead of waiting two weeks to find out when the next trade is trying to install, and that can save us a lot of time, you know, cut down that rework.”
Christopher Rippingham Jan 2, 2019 ▶ 16:57
Assertion Not checkable as stated
Rippingham: DPR Modeled Lab Project to 3/4-Inch Conduits for Prefabrication
“We modeled the entire job all the way down to, you know, three-quarter-inch conduits. So everything in the wall was modeled, everything above the ceiling was modeled. So that way everything was being fabricated offsite, and we have a lot of shared rack systems…”
Christopher Rippingham Jan 2, 2019 ▶ 18:34
Insight
Fischer: Construction AI Improves Project Predictability and Reduces Time to Market
“Business perspective, I think this technology does really two things. It improves the predictability, and the second thing is it reduces time to market.”
Martin Fischer Jan 2, 2019 ▶ 26:08
Insight
Fischer: Delayed Construction Timelines Force Expensive Technological Rework
“If your time to market is too long, the technology will change, then you have to do rework because of that.”
Martin Fischer Jan 2, 2019 ▶ 26:16
Prediction Not checkable as stated
Fischer: AI Will Eliminate Wasted Effort Across Construction Stakeholders
“We see just all of these wasted efforts, frankly, from many, many players, from subs to GCs to owners. Designers. We see all these wasted efforts that will go away.”
Martin Fischer Jan 2, 2019 ▶ 28:20
Insight
Rippingham: Manually Comparing Installed Work to Models Adds No Value
“Going around and looking at a model to compare it against what was installed isn't necessarily a value-add task. If we can automate that, we can get the people that would be doing that job out in the field Solving more problems, working through more changes, m…”
Christopher Rippingham Jan 2, 2019 ▶ 29:13
Assertion Contradicted
Ladha: 80% of All Construction Spending Goes Toward Indoor Work
“It's a very little known fact, but 80% of construction money is spent indoors anyway.”
Saurabh Ladha Jan 2, 2019 ▶ 30:44
Opinion
Rippingham: OSHPD Stringency Drives High California Hospital Construction Costs
“They're the most stringent regulatory agency, I think, in the world, based on the seismic requirements for the state of California. That's why building hospitals has been so expensive in California for so long.”
Christopher Rippingham Jan 2, 2019 ▶ 32:07
Prediction Not checkable as stated
Fischer: Fixing Construction Inefficiencies Could Free Up 4% of Global GDP
“You know, if you can cut 20% of the rework, and then you could make construction 20% more efficient in other ways, which seems entirely within the realm of feasibility. You're talking improving construction by 40%. In most economies, let's say a rough number i…”
Martin Fischer Jan 2, 2019 ▶ 32:55
Assertion Supported
Fischer: Steel Structure Test Cut Design Feedback to Hours
“We did actually a test of that for steel structure. We were able to get the data pulled together, and we were able to cut the cycle for feedback from eight weeks that you have today in terms of creating a design, you know, getting the estimates for fabrication…”
Martin Fischer Jan 2, 2019 ▶ 35:28
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.