Arjun Gupta, Founder and CEO of MokshEPR, joins Net Zero Compare to discuss how packaging Extended Producer Responsibility (EPR) is changing compliance for companies selling packaged goods in the United States. He explains why state-by-state rules, detailed packaging classifications, and incomplete product data are creating significant operational challenges. The conversation explores how AI can help companies clean and structure packaging data, pre-fill classifications, support reporting, forecast EPR fees, and assess packaging alternatives, while keeping human review and traceability at the center of compliance. Arjun also discusses the financial impact of packaging decisions, the importance of cross-functional collaboration, and why reliable packaging data can support broader decisions around procurement, logistics, waste reduction, and packaging redesign.

Lubomila Jordanova, founder of Plan A and co-founder of the Greentech Alliance, discusses the practical challenges of corporate decarbonization, including carbon accounting, Scope 3 emissions, supplier engagement, sustainability regulation, and climate technology. She explains why reliable emissions data remains difficult to collect and why companies need to improve sustainability knowledge across procurement, finance, operations, and product teams. The conversation also explores how businesses can prepare suppliers for reporting requirements, distinguish compliance obligations from commercial opportunities, and evaluate sustainability technologies based on demonstrated results and real-world implementation. Jordanova also reflects on the growing consolidation of sustainability software and why integrated platforms may help companies manage carbon accounting, ESG reporting, supply-chain assessments, and other related requirements more effectively.

Hesham Gamal Gaafar, Manager of Digital Twin, Smart Cities and AEC at Esri Saudi Arabia, explains how digital twins differ from BIM and GIS and where they can create practical value. He discusses operational efficiency, sustainability, BIM-GIS integration, interoperability, data governance, AI applications, predictive maintenance, and why organizations should define business needs before investing in technology.

Climate companies become investable when environmental impact is backed by strong fundamentals, including scalable business models, sound unit economics, capable teams, measurable results, and realistic market strategies. AI can improve sustainability reporting, due diligence, regulatory monitoring, and supply chain analysis, but its value depends on reliable data, transparency, and human oversight. High-risk decisions still require clear accountability and judgment. inclui quem fala Bhuva Shakti, AI adoption and automation advisor and founder of Bhuva’s Impact Global and Wallet Max, explains what makes climate companies investable and where AI can genuinely support sustainability. She highlights the importance of scalable business models, sound unit economics, measurable impact, reliable data, and capable teams. AI can improve reporting, due diligence, regulatory monitoring, and supply chain analysis, but high-risk decisions still require human judgment, transparency, and clear accountability.

Patrick Sherwin, founder and CEO of GoSun, explains why clean-energy technologies must deliver more than emissions reductions. Drawing on decades of experience with solar and distributed energy, he discusses solar economics, EV charging, resilience, manufacturing, efficiency, and product design, emphasizing that reliability, usability, realistic costs, and strong implementation ultimately determine whether climate technologies succeed.

Josh Harrison, Director of the Center for the Study of the Force Majeure at UC Santa Cruz, argues that climate adaptation requires systems thinking. Wildfire resilience depends on ecological forest restoration, viable uses for removed wood, local processing capacity, and long-term management. Mass timber can support lower-carbon construction, but only with responsible sourcing and traceability. In cities, green roofs, vegetation, stormwater systems and other nature-based infrastructure can reduce heat, flooding and energy demand, although permitting, financing and fragmented benefits remain major barriers to wider adoption.

In this Net Zero Compare podcast, Albert Slap, President of RiskFootprint, explains why physical climate risk should be treated as a practical property, financial, and operational issue, not just an ESG reporting concern. Traditional due diligence and flood-zone maps can miss important hazards, while single risk scores may hide severe exposures. Slap argues for property-level assessments that consider building vulnerability, potential damage, financial loss, and downtime. He highlights the ASTM Property Resilience Assessment as a framework for identifying hazards, evaluating vulnerabilities, and selecting cost-effective resilience measures. For large portfolios, companies should screen assets, prioritize strategically important high-risk properties and target investment accordingly. Resilience can reduce repair costs, business interruption, and recovery time, while supporting insurance, financing, and asset value decisions. The key message: climate data becomes valuable only when it leads to practical action at the asset level.

Wayne Visser discusses how companies can distinguish genuinely transformative climate technologies from hype. He argues that promising solutions should combine meaningful environmental impact with evidence of falling costs, improving performance, and growing adoption. Solar, wind, batteries, EVs, and Earth information systems are already relatively mature, while green hydrogen, low-carbon cement, bioplastics, cultivated meat, and other emerging technologies still face cost or scaling barriers. AI and robotics can create significant value when applied to physical systems such as agriculture, recycling, monitoring, and logistics. Visser emphasizes that every technology has trade-offs, so businesses should assess lifecycle impacts, infrastructure, economics, and real-world results. His advice is to experiment through pilots and partnerships, invest early where technology could transform the core business, and avoid chasing trends without evidence.

Frédéric Pouyot, founder of GPEKS, explains why net-zero infrastructure requires systems thinking rather than isolated solutions. Drawing on more than two decades of experience, he argues that buildings, energy, finance, mobility, and communities must be planned together to deliver lasting environmental and economic value. The conversation explores how better design can reduce energy demand before technologies such as solar panels or heat pumps are added, and why investments should be assessed using life-cycle costs rather than upfront price alone. Pouyot also discusses resilient and affordable housing, renewable energy integration, Indigenous and community participation, workforce development, and the need to break down professional silos. His central message is that the transition to net zero depends not only on cleaner technologies, but on connecting people, planning, finance, and infrastructure into adaptable systems designed to perform for generations.

In this Net Zero Compare podcast, Karol Kaczmarek speaks with Manuj Aggarwal, founder and Chief Innovation Officer of TetraNoodle Technologies, about the practical role of artificial intelligence in sustainability. The discussion explores how AI can support emissions reduction, ESG reporting, supply-chain oversight, resource efficiency, predictive maintenance, and operational decision-making. Aggarwal stresses that companies should begin with a clearly defined business problem rather than the technology itself. Reliable data, strong governance, privacy controls, measurable outcomes, and human oversight are essential, particularly when AI is used for compliance or public disclosures. The episode also examines private AI systems, digital traceability, the environmental footprint of AI, and the reasons many pilot projects fail to reach full implementation. The key message is that AI can improve sustainability performance, but it cannot compensate for poor data, weak processes, or unclear accountability.