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Summary

This interview explores the rapid evolution of AI in construction and architecture, focusing on how AI can transform design, optimize processes, and address industry challenges. Diego Padilla Phillips shares insights on multi-objective optimization, the linear nature of current workflows, and the future potential of AI to foster innovation and sustainability. In this insightful interview, industry experts discuss the future of architecture, AI, and construction. Topics include sustainable design, AI's role in project delivery, and the evolving skills of engineers and architects.

Key Topics

• AI-driven multi-objective optimization in design
• The linear and siloed nature of current construction workflows
• The potential of AI to foster innovation and creativity
• Challenges and opportunities in adopting AI in construction
• The future of sustainable and efficient building design AI's role in sustainable architecture
• The evolution of engineering skills in the AI era
• Future construction technologies and robotics

Chapters

00:00 Introduction to Decarbonization and Innovation
02:59 Innovation Beyond Gradual Improvements
05:55 Eureka Moments in Design and AI
08:41 Challenges of Working in Silos
11:39 The Limitations and Misconceptions of AI
14:39 Job Displacement: AI as a Tool for Professionals
18:32 The Future of Design: AI's Role in Building Usage
21:42 Balancing Iconic Design with Practicality
25:04 Sustainability and Longevity in Building Design
27:25 The Future of Engineering Education
28:57 Training the Next Generation of Engineers
31:11 The Impact of Technology on Design Processes
32:28 The Dual Nature of AI in Engineering
34:43 Looking Ahead: The Future of the Industry
34:45 Envisioning the Future of Architecture
36:37 Designing for Efficiency and Sustainability
39:35 The Role of Robotics in Construction
42:26 Creativity and Human-Centered Design
44:10 Adapting to Change in Engineering Education
46:12 Driving Change for a Sustainable Future
47:25 james .mp4
48:02 Unleash the Code 1 Second.mp3
48:05 Introduction to Project Flux
48:05 Exploring Key Themes in Project Flux
48:16 Introduction to Project Flux
48:16 Exploring the Core Principles of Project Management

Diego's Linked in https://www.linkedin.com/in/padilladiego/

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Summary

In this episode, James and Yoshi explore the rapid advancements in AI, including model updates, agentic tools, and the societal implications of AI integration. They discuss the evolution of AI models, the rise of autonomous agents, and the potential future scenarios shaping our world.

Key Topics

• AI model evolution and benchmarks
• Agentic tools and skills in AI
• Societal and ethical implications of AI
• Future scenarios of AI development
• AI in prediction markets and geopolitics

Chapters

00:00 Back to Basics: The Evolution of Project Flux
04:35 Agentic AI: The New Frontier
08:15 Claude Skills: Automating Workflows
11:30 The Impact of AI on High-Value Work
16:17 Trusting AI: The Human vs. Machine Dilemma
20:28 Practical Applications of AI in Daily Life
23:54 The Future of Prediction Markets and AI
27:02 The Impact of AI on Society and Globalization
30:11 The AI Investment Race
31:59 The Dark Side of AI: Deepfakes and Manipulation
32:54 The Future of Acting and Creativity
33:50 AI's Impact on Education and Content Creation
34:46 The Uncertain Future of AI Safety
36:06 The Political Implications of AI Development
37:29 The Arms Race: AI and Global Power Dynamics
38:50 Humanoid Robots: The Next Frontier
40:47 The Integration of Robots in Daily Life
42:33 The Future of Construction and Robotics
44:30 The Social Dynamics of Humanoid Robots
45:25 Conclusion: The Exciting and Scary Future of AI
45:59 Unleash the Code 1 Second.mp3
46:02 james .mp4
46:39 Unleash the Code 1 Second.mp3
46:43 Exploring Key Themes in Project Flux
46:51 Introduction to Project Flux
46:51 Exploring the Core Principles of Project Management
47:04 Unleash the Code Intro.wav

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Summary

In this insightful interview, Jana Stella, founder of New Wave Technologies, shares her journey from oceanography and deep learning to pioneering AI applications in environmental science and offshore infrastructure. Discover how AI is transforming wave modeling, offshore wind energy, and the future of sustainable technology.

Key Topics

• Deep learning analogy with mirrors and maze of mirrors
• AI's role in oceanography and wave modeling
• Impact of AI on offshore wind and infrastructure
• Challenges in hiring and scaling AI in environmental tech
• Future visions: quantum computing and AI in ocean science

Chapters

00:00 Introduction to Jana Stella and New Wave Technologies
02:53 Deep Learning Explained: The Mirror Analogy
05:45 AI's Role in Environmental Science and Sustainability
08:22 Wave Technology: Modeling and Forecasting
11:12 Bridging the Gap: AI and Offshore Infrastructure
14:09 Challenges in AI Implementation and Team Building
16:38 The Complexity of Oceanographic Data and AI Models
19:38 The Fragility of Subsea Cables and Their Importance
22:25 Concluding Thoughts on AI and Environmental Impact
24:37 Navigating Offshore Renewable Energy Challenges
26:20 The Importance of Boldness in Project Delivery
28:48 AI's Role in Transforming Industries
32:48 Universal Basic Income: A Vision for the Future
37:09 The Dual Nature of Technology: Good vs. Evil
39:23 Personal Insights and Future Aspirations
44:41 Unleash the Code 1 Second.mp3
44:44 james .mp4
45:22 Exploring Key Themes in Project Flux
45:30 Unleash the Code Intro.wav

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Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

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Summary

In this episode of the Project Flux podcast, James and Yoshi engage with Mike Palladino, a transformational leader and agile expert, discussing the evolving landscape of AI in project management. They explore the common threads in how organizations react to AI, the differences between corporate and non-profit perspectives, and the importance of the human element in AI implementation. The conversation delves into the hype cycle surrounding AI, the evolution of jobs in the age of automation, and the limitations of AI in decision-making. They also touch on the significance of agile methodologies and the future of human interaction with AI, emphasizing the need for continuous learning and adaptation in a rapidly changing environment.

Takeaways

The nervousness about AI stems from the rapid rate of change.
Corporate and non-profit sectors have different paces and mindsets regarding AI.
AI can help automate mundane tasks but may not fully replace human roles.
The hype cycle of AI often leads to inflated expectations and subsequent disappointments.
Job roles will evolve, but new opportunities will arise alongside AI advancements.
AI's decision-making capabilities are limited by its training data and context understanding.
Agile methodologies are essential for adapting to the fast-paced changes brought by AI.
The human experience is crucial in project management and should not be overlooked in AI implementations.
Continuous learning and exploration of new ideas are vital for growth in the AI landscape.
Cohesiveness in culture is diminishing due to echo chambers created by technology.


Chapters

00:00 Introduction to Mike Palladino
02:23 Navigating Change: The Impact of AI on Project Delivery
03:39 Corporate vs Non-Profit: Understanding Different Paces
05:08 The Role of AI in Non-Profit Organizations
06:48 The Hype Cycle of AI: Expectations vs Reality
09:35 The Human Element in AI and Project Delivery
12:06 The Future of Jobs: Adapting to Change
17:42 Rethinking Engineering Solutions: The People Question
23:48 Agile Mindset: Beyond the Buzzword
26:16 Navigating Agile in an AI-Driven World
28:53 The Limitations of AI in Decision Making
31:41 The Human Experience vs. AI Efficiency
34:29 Understanding AI's Decision-Making Process
38:26 The Importance of Learning and Exploration
42:13 Cultural Impacts of AI and Technology
47:29 Unleash the Code 1 Second.mp3
47:32 james .mp4
48:32 Unleash the Code Intro.wav

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Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

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Summary

In this conversation, Rajeev Kapur discusses the evolution from prompt engineering to context engineering in AI, emphasizing the importance of providing detailed context for effective AI interactions. He shares insights from his career, the impact of AI on project management, and the common mistakes people make when prompting AI. Rajeev also addresses concerns about job security due to AI, the democratization of AI for entrepreneurship, and the future of robotics and energy. He concludes with real-life success stories and the potential for AI to create new opportunities while highlighting the need for gradual adaptation to these technologies.

Takeaways

• Context is crucial for effective AI prompting.
• The evolution from prompt engineering to context engineering is significant.
• Common mistakes in AI prompting include vagueness and lack of detail.
• AI can enhance productivity and create new job opportunities.
• Generational differences affect the adoption of AI technologies.
• AI democratizes entrepreneurship and learning for everyone.
• Hallucinations in AI outputs are a function of training data.
• The future of AI includes smart cars and robotics.
• Real-life success stories demonstrate the potential of AI.
• Gradual adaptation to AI technologies is essential for success.

Chapters

00:00 Introduction to Rajeev Kapoor and AI Journey
05:03 The Evolution of AI and ChatGPT
09:51 Understanding AI Hallucinations and Their Impact
14:27 Practical AI Implementation Strategies
18:40 The Future of AI: Context Engineering and Prompting
49:59 Unleash the Code Intro.wav

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Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

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In collaboration with the Gen AI Podcast, this episode was filmed at nPlan's AI Day, where we explore groundbreaking advancements in project management technology, the impact of AI on markets, and the importance of scenario planning through multiverse thinking. Join us for insights from industry experts on how these innovations are shaping the future.

Key Topics

• How Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantly
• The concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen events
• The significance of AI plugins and integrations, including barriers and opportunities in project controls
• The risks and security considerations of proactive agents like Claude Bot and Maltbook
• Market reactions to AI developments, including plugins' influence on financial markets and long-term strategy implications
• Future possibilities of space-based data centers and AI in space exploration

Timestamps

00:00 - Introduction to Project AI Day and event excitement
00:24 - Recap of AI Day preparations and expectations
00:43 - Demonstration of schedule automation connecting to project control loops
01:23 - The importance of speed in scenario analysis and project adjustments
02:26 - Launch of Schedule Studio upgrades for large-scale schedules
03:17 - Handling equipment and technical setup for live demos
04:18 - Multiverse thinking: exploring scenarios with high breadth and rapid iteration
04:44 - Uploading and managing millions of schedules with automation tools
05:46 - Integration capabilities with external data sources like Procore and Barry
06:19 - AI plugin market dynamics and strategic implications
07:21 - Political and market reactions to AI advancements and plugin launches
08:41 - Westworld's Rehoboam and the future of scenario-based decision making
09:33 - AI balancing in project planning to mitigate risks and optimize outcomes
10:31 - Practical inputs for real-time scenario updates during projects
11:43 - Incorporating AI intuition and human experience in decision-making
12:36 - The security risks of AI agents and proactive bots like Claude Bot
14:21 - The evolution of Maltbook and agent interaction influences
15:09 - The potential societal and privacy impacts of pervasive AI agents
16:52 - The competitive edge of hyper-vertical AI tools over generalist models
18:08 - Market implications of AI plugins and how they disrupt traditional industries
19:35 - Long-term investment strategies amidst AI disruption and market volatility
21:35 - The rise of specialized AI and the decline of broad, generalist models
24:27 - Risks of personal data exposure and the importance of safe AI deployment
27:00 - Society's adaptation to diminishing privacy and AI's role in personal autonomy
33:29 - The concept of project superintelligence and its evolution beyond current tools
36:11 - Mars colonization ambitions linked to AI and space tech me

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In this episode of the Project Flux podcast, Maryrose Lyons discusses the transformative impact of AI on the built environment.

The conversation explores the evolution of curiosity in AI adoption, practical applications of AI in daily work, and the importance of empowering humans rather than replacing them. Maryrose emphasises the need for a shift in mindset towards experimentation and innovation, as well as the potential of spatial AI and robotics to redefine the future of work.

The episode concludes with insights on the emerging landscape of AI agents and their implications for various industries.

Takeaways

• Curiosity is essential for success in the AI era.
• AI should empower humans, not replace them.
• The built environment is rapidly adopting AI technologies.
• Experimentation is key to navigating AI challenges.
• Training in AI should focus on practical applications.
• Spatial AI will fundamentally change the industry.
• Midsize companies are leading in AI adoption.
• AI can automate mundane tasks, freeing up time for creativity.
• The future of work will be more fluid and less prescriptive.
• Agents in AI need to be clearly defined and understood.

Chapters

00:00 Introduction to AI and Curiosity
02:13 The Evolution of AI Perception
05:23 Practical Applications of AI in Daily Life
08:16 The Role of Curiosity in AI Adoption
11:11 The Competitive Landscape of AI
14:04 Future of AI and Human Empowerment
17:53 Transforming Work Through AI Training
20:40 Rethinking Old Processes for New Solutions
22:27 Managing Change and Embracing Experimentation
24:29 Agile Learning and Tailored Training Solutions
26:51 Fostering Creativity and Curiosity in Teams
28:58 The Future of Work: Fluid Processes and AI
32:03 Decoupling Process from AI Solutions
33:51 Understanding AI Agents vs. Virtual Assistants
36:56 The Future of AI Agents
39:30 The Evolution of AI and Its Impact
41:36 Key Skills for Leaders in Construction
43:10 The Rise of Spatial AI

• Maryrose’s Linked In
• AI Institute Linked In page
• AI Institute Website

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In a special collaboration, we join Own the Build podcast for their 250th episode alongside the RICS. This conversation arrives at a pivotal moment: the RICS has just published its first-ever global professional standard for the responsible use of AI in surveying, coming into effect in March 2026.

Unpacking what this means for Quantity Surveyors (QS'), valuers, project professionals, software vendors and construction leaders, is:

• James Garner — Head of AI & Data at Gleeds, Chair of the Project Data Analytics Task Force, and host of Project Flux.
• Chris de Gruben — Senior Director & Head of AI at Artefact; co-chair of the RICS AI Working Group.
• Matthew Lavy — Barrister at 4 Pump Court specialising in technology disputes and AI liability.

Across this wide-ranging, practical and occasionally provocative discussion, the panel explore:

• Why the RICS created this standard now: Member demand, regulatory pressure, industry lag, and a cultural shift from “AI as a threat” to “AI as a professional tool”.
• The core pillars of responsible AI use: Risk registers, explainability, transparency to clients, PI considerations, shadow AI, enterprise-grade tools, and why “professional judgement” remains non-negotiable.
• What AI will — and won’t — replace: From AVMs and automated cost analysis to complex valuation, negotiation, context, and human judgement.
• The difference between enabling and restricting innovation: Why the RICS guidance is intentionally light-touch and principle-based, and how it avoids the rigidity of the EU AI Act.
• What this means for QSs, valuers, employers, universities and software vendors: Future training, AI literacy, cultural change, documentation, and how practitioners can protect themselves while accelerating adoption.
• The future of surveying and construction in an AI-native world: Agentic workflows, robotics, quantum computing, and the real-world impact on productivity, risk, client expectations and professional identity.
  
  

This is a landmark conversation at a turning point for the profession. If you want clarity on how AI will shape surveying, cost management and construction over the next five years — and what you should do in 2026 — this is essential listening.

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Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.