Bidgely’s 2026 EmPOWER AI series spans New York, Toronto, London, and Singapore, reflecting a push to move utility AI from strategy decks into operational tools shaped by peers and real grid constraints.
Bidgely is expanding its EmPOWER AI conference series in 2026, convening utility and energy leaders across four global cities to grapple with how artificial intelligence actually works in practice. Rather than positioning AI as a distant promise, the series frames it as an operational discipline shaped by customer behavior, grid realities, and regulatory limits. For Bidgely, the gatherings reinforce its role as a convener at a moment when utilities are under pressure to modernize without destabilizing core systems.
The decision to anchor the flagship event in New York, with additional stops in Toronto, London, and Singapore, reflects how widely shared these challenges have become. Utilities across regions face similar questions about forecasting demand, managing distributed energy resources, and extracting value from growing volumes of data. By organizing the series around practical use cases, Bidgely is responding to an industry appetite for peer-led learning rather than vendor-driven roadmaps.
A defining feature of the EmPOWER AI series is its emphasis on real deployments rather than theoretical models. Sessions are designed to examine how AI tools perform once they encounter legacy infrastructure, workforce constraints, and uneven data quality. This focus signals a maturation in the utility AI conversation, where success is measured less by novelty and more by reliability and scalability.
The expansion of the series also mirrors a broader shift in how utilities approach digital transformation. AI initiatives are no longer confined to innovation teams or pilot programs but are increasingly tied to core operations such as grid planning, customer engagement, and load management. Conferences like EmPOWER AI serve as informal testing grounds where leaders can compare outcomes, reassess assumptions, and recalibrate expectations.
Ultimately, the significance of Bidgely’s 2026 conference series lies in what it suggests about the state of AI in the energy sector. Utilities appear to be moving past the question of whether to adopt AI and toward the harder work of governing, integrating, and maintaining it over time. By creating space for candid discussion across global markets, the series highlights a growing consensus: applied AI in utilities succeeds not through bold declarations, but through steady, shared learning grounded in operational reality.
