The opening keynote at DTECH 2026 signaled a future for energy that is as bold as it is innovative, marking a definitive departure from the historical paradigms that have governed the utility sector for over a century. While past industrial revolutions were defined by the raw power of steam and the precision of silicon, industry experts and leaders now agree that the Fourth Industrial Revolution will be defined by intelligence. This transition is indicative of larger societal shifts that will require the global energy grid to be powered in entirely new ways, necessitating a move for utilities beyond legacy planning and toward agile, responsive delivery models. As the digital, physical, and biological worlds increasingly converge, the strength of this revolution relies entirely on the foundational infrastructure supporting it. This convergence is currently redefining what grid modernization efforts can and should look like in both the short and long term, moving the conversation from theoretical upgrades to essential survival strategies for modern power providers.
To better understand the nuances of this shift, industry analysts have looked to the insights of Alex Rosenblatt, the Director of Grid Modernization at WSP and a prominent member of the DTECH Northeast Planning Committee. Rosenblatt’s perspective is informed by a career spanning nearly a decade at Duquesne Light Company, where his work focused on the full spectrum of modern utility challenges, from traditional distribution planning to the implementation of advanced Distributed Energy Resource Management Systems (DERMS). Throughout his career, Rosenblatt has earned a reputation for pushing past the "way we’ve always done it" mindset, a philosophy he continues to champion in his current role at WSP. His analysis highlights a critical reality: the utility of the future cannot be built using the logic of the past.
Modernization as a Technical and Economic Necessity
For Rosenblatt and many of his peers, grid modernization is no longer a discretionary "buzzword" or a luxury project for well-funded investor-owned utilities; it is a tangible necessity driven by the physical limitations of traditional distribution planning. The aging infrastructure of the North American power grid—where many transformers and lines are operating well beyond their 40-year design life—is facing unprecedented stress from the electrification of transport and the integration of volatile renewable energy sources. Utilities are beginning to realize that success in this new era revolves around the Information Technology (IT) infrastructure that allows planning to function in a radically different way.
The traditional approach to grid expansion—often referred to as "load growth" planning—involved a linear relationship between demand and hardware. "You cannot continue to just make wires bigger and transformers larger," Rosenblatt noted during the DTECH discussions. He emphasized that grid modernization is a holistic hierarchy that starts with people, moves through processes, and finally utilizes technologies. This framework is designed to make the grid more efficient and data-driven without simply driving up costs for the consumer. In an era of high inflation and increased scrutiny on utility rate cases, the ability to optimize existing assets through intelligence rather than expensive physical overhauls is becoming a primary fiscal strategy.
However, the implementation of this hierarchy presents a significant challenge. Change is notoriously difficult within the utility sector, a field that has historically prioritized stability and risk aversion over rapid innovation. Rosenblatt likens the current shift to an entire workforce moving from a paper map to a smartphone overnight. Without proper support, training, and a culture that embraces digital literacy, tools designed to streamline operations can become burdens or may not be utilized at all. This "human element" of grid modernization is often the most overlooked aspect of the transition, yet it remains the most frequent point of failure in large-scale technology deployments.
The Evolution of the Utility-Customer Relationship
The relationship between utilities and their customers is undergoing a transformation that mirrors the shifts seen in the retail and telecommunications sectors. Customer expectations are evolving rapidly; modern consumers expect high levels of transparency, real-time data access, and the ability to manage their energy consumption with the same ease they manage their bank accounts. Meeting these expectations requires utilities to change not just their technology, but their fundamental approach to service delivery.
Success in these efforts depends on the information being utilized to drive and enable connections. "The data-driven model is what’s going to unleash all of the grid mod technology," Rosenblatt explained. He argued that the more data a utility has access to—and is willing to utilize—the easier it becomes to deploy advanced technologies and the more value they can extract from them. To meet modern expectations, the utility must possess accurate, on-command data that reflects the current state of the grid at any given second.
This demand for data is a primary driver behind the adoption of Advanced Metering Infrastructure (AMI) 2.0. While the first generation of AMI was primarily focused on automating billing and reducing the need for manual meter reading, AMI 2.0 represents a quantum leap in capability. It brings waveform data to the "grid edge," allowing utilities to see far more than just total kilowatt-hour usage. With AMI 2.0, utilities can identify the specific signatures of different appliances, such as HVAC systems or electric vehicle chargers, drawing power in real-time. This level of granularity provides customers with actionable information that can directly impact their monthly bills and allows utilities to implement more sophisticated demand-response programs. This transparency is expected to transition from a premium offering to a standard expectation within the next decade.
Breaking Down Institutional Silos
One of the most persistent obstacles to grid modernization is the historical divide between Information Technology (IT) and Operations Technology (OT). Traditionally, IT departments handled back-office functions like billing and corporate communications, while OT departments managed the physical control systems of the grid. Historically, IT has driven technology adoption from a software perspective, but grid modernization is flipping that script. In the new landscape, operations serves as IT’s customer, defining the specific functional needs of the grid based on physical realities.
Rosenblatt suggests that the solution to this divide is not found in a specific software package, but in communication and the dismantling of organizational silos. "Every utility is going to have their own unique challenges," Rosenblatt stated. "But if you’re willing to come to the table and have an open, honest discussion, you’ll most likely find common ground and be able to come up with a solution." By bringing together leaders from both the IT and OT sides, utilities can move away from siloed workflows toward holistic processes that reflect how people and systems actually function within the modern infrastructure. This convergence is essential for the deployment of technologies like ADMS (Advanced Distribution Management Systems) and DERMS, which require seamless integration between physical grid sensors and high-level analytical software.
Artificial Intelligence and the Future Workforce
As DTECH Northeast continues to shape the conversation around the future of energy, the role of Artificial Intelligence (AI) has emerged as a central theme. While there are widespread concerns regarding AI-related job losses across various sectors, Rosenblatt views AI not as a threat to the utility workforce, but as a vital partner in managing the sheer volume of data generated by a modern grid.
The sheer amount of data produced by AMI 2.0, synchrophasors, and IoT-enabled transformers is far beyond the capacity of human operators to process in real-time. "It’s 100% about augmentation," Rosenblatt said when discussing the future of workflows. The goal is to take massive amounts of raw data and make it transformative and actionable for the engineers and line workers on the ground. AI can identify patterns of equipment failure before they occur, optimize the dispatch of distributed energy resources, and automate routine reporting tasks, allowing human workers to focus on complex problem-solving and strategic planning.
As long as utilities prioritize using these technologies to benefit the customer and increase operational efficiency, the outlook for the energy sector remains positive. The transition to a data-driven, intelligent grid is not merely a technical upgrade; it is the foundation of a sustainable and resilient energy future. The discussions at DTECH 2026 underscore a collective realization: the path forward requires a blend of advanced technology and a renewed focus on the people who operate it. By embracing agility and breaking down the barriers of the past, the utility industry is positioning itself to lead the Fourth Industrial Revolution, ensuring that the grid of tomorrow is capable of meeting the demands of an increasingly electrified and intelligent society.