EVs Now Cheaper Than Gas Cars—But Resale Values Still Lag Behind
Electric vehicles (EVs) are becoming more affordable than diesel and petrol cars, both at purchase and over time. A 2023 Fraunhofer study shows that, despite higher upfront costs, lower running expenses often make EVs the cheaper option. Meanwhile, new research in neuroscience highlights how even short naps can significantly affect brain function—with potential implications for AI development.
The cost gap between EVs and traditional cars is narrowing. Sticker prices are now closer than ever, and government subsidies are pushing purchase prices down further. Some electric models already cost less to own than comparable petrol or diesel vehicles when factoring in maintenance, repairs, charging, taxes, insurance, and depreciation. However, resale value remains a key concern for EV owners.
Data from DAT shows that a three-year-old battery-electric vehicle (BEV) retains only 49-50% of its original list price, compared to 58-63% for petrol or diesel cars. Faster depreciation stems from high initial costs, weak demand for used EVs, and battery wear—especially if owners frequently use fast charging. New EV subsidies also indirectly lower used prices, adding pressure. Studies by CAR and DAT suggest short-term value instability, though long-term stability may improve as leasing returns with warranties increase. Currently, 72% of EV owners report uncertainty about resale, and only 13% of buyers consider used electric cars.
In unrelated research, neuroscientists have found that brief naps can deeply influence brain performance. These findings are now being explored in AI and robotics, where understanding human cognitive patterns could lead to advancements in machine learning and automation.
EVs are proving cheaper over their lifespan, but resale values still lag behind combustion-engine cars. Factors like battery health, subsidy effects, and low used-car demand contribute to faster depreciation. Meanwhile, the discovery of naps' impact on the brain opens new avenues for AI research—showing how scientific progress in one field can influence another.
