AI, Real Estate, and the Future of Smart Cities | Judyta Sawicka
What does artificial intelligence mean for the future of cities, buildings, infrastructure, and investment?
In this episode of AI: Voice or Victim, hosts Greg Boone and Erica Rooney sit down with Judyta Sawicka from Echo Investment S.A. for a global conversation about AI adoption, leadership, digital transformation, and the future of real estate.
Judyta shares how her background in law, finance, infrastructure, and development shaped her approach to innovation — and why real estate companies are being forced to think years ahead as AI rapidly transforms how people live, work, and interact with cities.
The conversation explores:
Why AI adoption is more of a culture challenge than a technology challenge
How organizations can balance innovation with responsibility and trust
Why AI literacy is becoming essential across every industry
How AI is already improving energy efficiency in commercial buildings
The future of smart cities, digital twins, and AI-driven urban planning
Why humans still need to stay “in the loop” with AI systems
How prompting, iteration, and domain expertise impact AI results
The importance of making AI feel personal, safe, and useful for employees
Judyta also explains how her company is using AI analytics to reduce energy consumption in buildings by 20–30%, adjusting cooling and heating systems dynamically based on occupancy and weather conditions.
Greg and Erica dive into the human side of AI adoption as well — discussing why many companies struggle with digital transformation, how AI changes workplace expectations, and why curiosity may be one of the most important skills for the future workforce.
And of course, the episode wraps with the fan-favorite “Last Chat” segment featuring AI-generated dinner ideas, hidden vegetables in waffles, and Greg’s attempt to explain generative AI through a “hang glider vs. space shuttle” analogy.
Key Takeaways
AI transformation is fundamentally a people and culture challenge
Organizations need leadership and psychological safety to drive adoption
AI works best as an extension of human expertise, not a replacement for it
Smart buildings and smart cities are already becoming reality
Iteration and feedback are critical to getting better AI outputs
AI can unlock major operational efficiencies, especially in energy usage
Chapters
00:00 – AI adoption from an internal and external business perspective
01:00 – Judyta’s journey from law to investment and development
02:00 – Long-term thinking in real estate and infrastructure
03:00 – Bottom-up AI adoption inside organizations
04:00 – ChatGPT vs. Perplexity for research and productivity
05:00 – Why digital transformations often fail
06:00 – AI literacy, leadership, and workplace culture
07:00 – The day ChatGPT outages disrupted productivity
08:00 – Balancing AI curiosity with responsibility
09:00 – Why humans still need to stay “in the loop”
10:00 – Iteration, prompting, and mindset shifts with AI
12:00 – AI as an extension of human expertise
13:00 – AI opportunities in real estate and infrastructure
14:00 – Smart buildings and reducing energy consumption
15:00 – Singapore’s AI-powered digital twin city model
16:00 – AI, energy demand, and future infrastructure
17:00 – AI meal planning, waffles, and parenting hacks
18:00 – Greg Boone’s “hang glider vs. space shuttle” AI analogy
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