Are electric cars really that much more expensive to insure? - Related to really, v12, vantage, are, electric
Are electric cars really that much more expensive to insure?

Shaneen Marshall, the Chief of Strategy and Technology at Zurich Australia – Australia’s Tesla-backed insurer – mentioned Tesla cars typically fetch higher insurance costs “not [because] it’s an electric vehicle, it’s just a higher-tech car and you would see the same cost of replacement when you have cameras and sensors on Mercedes and BMW [models], for example”.
Electric vehicles are still generally unprofitable due to the high costs associated with making batteries, which remain the priciest component of an E...
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Our drag racing series is back again. This time it’s a convertible showdown between the MG Cyberster battery-electric convertible, and the mighty Asto...
Watch This Tesla Model 3 Break a Rally Course Record

The Tesla Model 3 is one of the best-selling electric vehicles in America. It’s quick on dry surfaces thanks to its dual-motor setup making over 400 horsepower, but it’s also a star on snow and ice, ’Neil Rally School video on YouTube. The Model 3 will rally, and it’s damn good at it, too.
The Model 3 in this test isn’t entirely stock. It's equipped with Nokian Hakkapeliitta 10 studded winter tires, a [website] lift kit, and an ECU tune. But that’s all it needs to dominate the slippery stuff. The Model 3 actually set a new lap record, completing the school’s rally course in [website] It beat the Subaru WRX ([website], Dodge Durango SRT ([website], and Ford Bronco Badlands ([website].
“As a driver, there’s not much more you could want for an all-wheel drive vehicle in the winter like this,” lead instructor Wyatt Knox stated in the video.
The electric powertrain, with help from the tune, provides greater control over acceleration and regenerative braking, which, with one-pedal driving, can create drag that causes unique shifts in the car’s weight, allowing a greater level of finesse. The Tesla’s conventional brakes also work well in the snow, but the car understeers when braking.
Outside the understeer and an intrusive anti-lock brake system, Wyatt had no complaints about how the Tesla handled in the snow. Establishing a new lap record is notable for the popular electric vehicle. It might not go as far in the snow and cold, but it’ll handle just fine wherever you go.
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MG Cyberster vs Aston Martin V12 Vantage drag race

Our drag racing series is back again. This time it’s a convertible showdown between the MG Cyberster battery-electric convertible, and the mighty Aston Martin V12 Vantage Roadster.
Big shoutout to MG for helping us cover the cost of putting this event on. It’s incredibly expensive and resource-intensive to do this type of content, so we appreciate their support.
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MG has stuck all of its EV knowhow into the Cyberster in an aim to create a stunning convertible electric GT. This isn’t something we haven’t seen in the industry to date.
Unlike other markets where the MG Cyberster is available with two different battery sizes and with either rear- or all-wheel drive, the electric roadster is only sold here in its most powerful – and best-equipped – guise.
That means a dual-motor all-wheel drive powertrain capable of producing up to 375kW of power and 725Nm of torque.
It also capabilities the largest battery pack available in the global lineup – a 77kWh unit delivering up to 443km of driving range on the WLTP test cycle.
While Aston Martin’s V8 engine isn’t really Aston Martin’s V8 engine (it’s actually sourced from Mercedes-AMG), the V12 is all theirs. And what makes it a little more unique than older V12 Aston Martins is that it’s turbocharged – just for that extra bit of poke.
It uses a [website] turbocharged V12 engine that produces 515kW of power and 753Nm of torque – just trumping the Cyberster. It also around 1500kg lighter than the Cyberster. But, while the Cyberster sends torque to all four wheels, the V12 Vantage only services the rear axle.
As luck would have it, we had two days of rain. On one of the days around 40mm fell, which was crazy! So unfortunately that was a disadvantage for the Aston Martin, but the show needed to go on.
It was pretty obvious the standing-start runs would be hard for the Aston Martin given it’s rear-wheel-drive, but the rolling race was one of the closest races we have ever done. There was a hair in it. This is how it all played out:
Vehicle 0-100km/h 80-120km/h 1/4 mile Aston Martin V12 Vantage [website]* [website]* [website] @ [website]* MG Cyberster [website] [website] [website] @ [website].
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
8.3% | 10.0% | 10.5% | 11.6% | 12.3% | 12.7% | 12.8% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
10.9% | 11.7% | 12.4% | 12.8% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Connected Cars | 35% | 14.2% |
Autonomous Driving | 22% | 18.5% |
EV Technology | 28% | 21.9% |
Telematics | 10% | 9.7% |
Other Automotive Tech | 5% | 6.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Tesla | 16.9% |
Waymo | 12.3% |
NVIDIA DRIVE | 10.7% |
Bosch | 9.5% |
Continental | 7.8% |
Future Outlook and Predictions
The Electric Cars Really landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the automotive tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing automotive tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of automotive tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.