The world will use far more AI. That does not mean it will use proportionally more electricity. As AI systems become more efficient, the relationship between adoption and power demand weakens. This creates a forecasting problem with real consequences for grid planning, investment timing, and policy—where flexibility matters more than precision.

AI is turning data-centres into the factories of the digital age — reshaping electricity demand, regulation, and capital flows. Their value now hinges on a mix of risks: price volatility, grid constraints, policy uncertainty, renewable access, and supply-chain exposure. Understanding how these forces interact is essential for investors navigating the next era of AI infrastructure.

Our roundtable examined how UK infrastructure markets price resilience. Using Vallorii’s VAPRI and the new VARI index, we showed how environmental stress affects asset performance, equity returns and valuations. Discussion focused on incentives, ODIs and funding gaps, with consensus that resilience remains under-priced and needs explicit inclusion in equity returns.

Britain’s energy transition is not constrained just by the availability of capital, but by the credibility needed to deploy it efficiently. Public trust, investor confidence, and regulatory competence now determine the pace - and the price - of Clean Power 2030.

AI is transforming both digital and physical worlds. Large-scale computation and LLMs are launching a new infrastructure era—shaped by where we build, invest, and how we value assets. Vallorii sees two forces: soaring demand for power, land, and grids, and AI’s analytic power redefining risk and value—together, they’re repricing infrastructure toward intelligence.

Britain’s infrastructure reset is regulatory, not technological. New rules for energy, water, and transport are redefining how risk is priced — shifting focus from returns on assets to returns on compliance, governance, and delivery credibility across regulated sectors.