What if clean energy investments could be measured not just in dollars and emissions, but in lives saved, species protected and economic value created? In this highlight episode, you’ll learn how Andrew DeMille and Quantum Energy are bringing impact analytics into energy decision-making, helping businesses quantify the broader human, environmental and economic outcomes of clean energy projects. Andrew explains how sophisticated grid modelling, AI and machine learning can reveal what happens when new renewable energy projects come online, from the fossil fuel generation they displace to the resulting changes in emissions, health outcomes and ecosystem impacts.

You’ll also discover why these metrics are becoming increasingly important for project approvals, access to capital, corporate reporting and investment decisions. Listen in to hear lessons from major renewable energy projects and how businesses can move beyond a narrow ROI mindset, use impact analytics to de-risk clean energy investments and communicate the value of energy projects in a way that resonates with executives, investors, customers and communities.

What You’ll Learn in Today’s Episode:

• Why energy decisions need impact analytics.
• How grid modelling measures project impacts.
• How renewable energy displaces fossil fuels.
• Why health impacts matter in energy decisions.
• How clean energy can create economic value.
• Why sustainability metrics are becoming financial metrics.
• How impact data can de-risk energy projects.
• Why AI is increasing demand for clean power.
• How businesses can quantify clean energy ROI.
• How to make energy investments more compelling.

Resources in Today's Episode:

• Andrew DeMille: LinkedIn
• Quantum Energy
• Vista Sands Solar Farm
• Gareth Evans: LinkedIn
• Dan Roberts: LinkedIn
• VECKTA: News

You can view a video of the conversation on VECKTA's website here: https://tinyurl.com/yjcbpb69

What happens when energy and sustainability stop being “nice-to-have” initiatives and become a core part of business strategy? In this episode, Ryan Knudson, Vice President of Energy and Sustainability at Phillips Edison, shares how Phillips Edison is approaching energy and sustainability as a way to manage rising utility costs, protect tenants from future energy headwinds, and create long-term value for shopping centers and the communities they serve.

Listen in as Ryan breaks down the biggest opportunities and challenges facing commercial real estate, from the “triangle of death” between landlords, tenants, and developers to the changing role of utilities and the growing impact of AI and data centers on energy demand. You’ll discover the four potential value streams for distributed energy, as well as how to get internal stakeholders behind sustainability initiatives. Ryan also talks about what could be an overlooked opportunity for reducing grid demand and his vision for a future where energy and sustainability are simply embedded into everyday business decisions.

What You’ll Learn in Today’s Episode:

• Why Ryan sees business as a force for positive change.
• Why community is central to Phillips Edison’s strategy.
• How Phillips Edison built its energy and sustainability program.
• Why rising utility costs are a growing real estate risk.
• How AI and data centers could reshape energy markets.
• Why the landlord-tenant-developer “triangle of death” matters.
• The four value streams for distributed energy.
• How Phillips Edison is scaling its renewable energy strategy.
• Why energy and sustainability must become everyday business.

Resources in Today's Episode:

• Ryan Knudson: LinkedIn
• Gareth Evans: LinkedIn
• Dan Roberts: LinkedIn
• VECKTA: News

You can view a video of the conversation on VECKTA's website here: https://tinyurl.com/ywturyz2

What happens when AI's demand for electricity grows faster than the grid can keep up? In this highlight episode, we unpack the growing pressure AI data centers are placing on power infrastructure, from rising electricity prices and political backlash to lengthy transmission queues, generation bottlenecks, and the limits of simply building more centralized infrastructure.

Listen in to learn what the recent White House pledge to protect ratepayers actually means, why paying for infrastructure doesn’t necessarily make it appear faster, and why the AI boom is turning electricity from an invisible utility into a boardroom and political issue. You'll hear about the immediate grid strain, as well as a different model for powering AI. We also discuss why training and inference have very different energy requirements, how distributed and edge computing could change where AI infrastructure is located, and how commercial and industrial buildings could become part of the energy solution.

What You’ll Learn in Today’s Episode:

• Why AI is putting unprecedented pressure on the electricity grid.
• How data centers are affecting electricity prices and politics.
• Why funding infrastructure doesn't solve physical bottlenecks.
• The limitations of relying on centralized grid expansion.
• Why AI data centers need reliability and power certainty.
• How training and inference have different energy needs.
• Why edge inference could support more distributed AI infrastructure.
• How existing commercial buildings could unlock hidden capacity.
• What “enabled capacity” means for property owners.
• What AI, energy, and infrastructure leaders should consider next.

Resources in Today's Episode:

• Gareth Evans: LinkedIn
• Dan Roberts: LinkedIn
• VECKTA: News

You can view a video of the conversation on VECKTA's website here: https://tinyurl.com/4haeunym