Guest Column

Beyond range anxiety: The social dynamics powering EV adoption

Advancements in charging technology also play a critical role to EV adoption.

Imagine a world where electric vehicles are as commonplace as smartphones. Not so long ago, this seemed like a distant dream, primarily due to the dreaded “range anxiety.” But today, the landscape is shifting dramatically thanks to a mix of technical advancements and social dynamics.

In 1996, General Motors' EV1 emerged as the first modern-day all-electric vehicle, boasting a modest range of 74 miles – adequate for city driving but limiting for longer trips, especially with public charging stations scarce. For the next 15 years, this narrative was slow to change.

Fast forward to today: The Lucid Air boasts an estimated range of 516 miles, more than the average gasoline-powered car can travel on a single tank. In 2022, the average range of an electric car sold in the U.S. reached 291 miles. By May 2023, more than 138,100 public charging outlets were available nationwide. Despite a concentration of these stations in California, the trend is evident: EVs now offer unprecedented range, complemented by an ever-growing network of charging stations.

Yet, the specter of "range anxiety" lingers. Why?

The answer lies not in statistics or technology but in human behavior. A recent study of new EV registrations in 11 U.S. markets revealed a "cluster effect" in EV adoption. Prospective buyers are often influenced by EV owners within their social circles ― neighbors, family, or colleagues. This phenomenon, sometimes known as peer pressure, social contagion, or the “neighborhood effect,” underscores a simple truth: seeing is believing. In other words, the best predictor of a person driving an EV is someone in their inner circle driving one first. (As an EV driver, my own experience resonates with this finding. Three of my friends switched to EVs after hearing about how much my family was enjoying ours, and how much we were saving.)

The report cited two key factors of peer influence in helping new EV drivers overcome possible sources of anxiety, like range limitations. The first factor ― interpersonal communication and persuasion ― includes observation of specific choices (i.e., a new Tesla in the neighbor’s driveway), word-of-mouth communication, and the influence of trusted community leaders. The second ― normative social influence ― holds that social norms are passively communicated as shared standards of behavior within a group. Even without talking to the neighbor, the sight of their new Tesla suggests that driving one allows you to “fit in” too.

If peer influence helps convince EV buyers that range is no obstacle, charging stations are doing their part to influence cluster buying as well. California had more than 14,000 of the nation’s 51,000 public charging stations as of March and also the highest number of registered EVs. Consumer Reports reported in June that “charging logistics” was the number-1 reason holding back potential EV buyers. It only makes sense that the threat of a broken EV charger or a long stretch of road without one is lessened where more chargers are available. The number of public charging stations has increased by 40 percent since Jan. 2021, and figures to rise further as public- and private-sector investment dollars flow into public charging.

More than the availability of public charging stations, the ability to charge one’s EV at home overnight is a practical antidote to range anxiety. Charging overnight can add 40 to 50 miles of range, enough for an average driver on an average day. A 2022 survey by J.D. Power indicated 27 percent of homeowners are "very likely to consider” buying an EV, compared to 17 percent of those who rent. “Not only are homeowners more affluent, on average,” the report notes, “but are more likely to be able to charge an EV at their residence.”

Here too, the cluster effect makes sense. In areas where renters are concentrated (think apartment complexes), all it takes is one EV driver to inform their neighbors where the nearest charging stations are, eliminating a logistical barrier to range anxiety. In areas where homeowners are concentrated (think new-construction suburban communities of family homes), all it takes is one EV driver to demonstrate the utility of overnight charging in a standard garage or driveway outlet.

Advancements in charging technology also play a critical role. The advent of affordable Level 2 chargers and ultra-fast Level 3 chargers, like Electrify America's 20 miles-per-minute chargers, further eases range concerns.

The availability and affordability of charging technology might be the best weapons in the fight against range anxiety, but they are of little use without a first-hand introduction on the part of someone in your social circle. The key to accelerating EV adoption lies in nurturing these social “clusters,” fostering a network of influence that propels us towards an electrified, sustainable future. In this journey, our greatest allies are the conversations in our living rooms, the examples in our driveways, and the shared experiences within our communities. As these clusters expand, they forge a path toward a cleaner, more environmentally conscious world.

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Kate L. Harrison is the co-founder and head of marketing at MoveEV, an AI-backed EV transition company that helps organizations convert fleet and employee-owned gas vehicles to electric, and reimburse for charging at home.

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A View From HETI

Merab Momen, founder of AI CTO Services. Courtesy Photo

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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