Meta, the parent company of Facebook and Instagram, has revealed a new plan to combat the growing number of fake investment scheme celebrity scam ads by using facial recognition technology to weed them out.

What’s the Problem? 

Fake ads featuring celebrities, known as “celeb-bait” scams by Meta, have become a plague on social media platforms in recent years, particularly ads promoting fraudulent investments, cryptocurrency schemes, or fake product endorsements. These scams use unauthorised images and fabricated comments from popular figures like Elon Musk, financial expert Martin Lewis, and Australian billionaire Gina Rinehart to lure users into clicking through to fraudulent websites, where they are often asked to share personal information or make payments under false pretences.

Also, deepfakes have been created using artificial intelligence to superimpose celebrities’ faces onto endorsement videos, producing highly realistic content that even seasoned internet users may find convincing. For example, Martin Lewis, founder of MoneySavingExpert and a frequent victim of such scams, recently told BBC Radio 4’s Today programme that he receives “countless” notifications about fake ads using his image, sharing that he feels “sick” over how they deceive unsuspecting audiences.

How Big Is the Problem? 

The prevalence of scams featuring celebrity endorsements has skyrocketed, reflecting a global trend in online fraud. In the UK alone, the Financial Conduct Authority (FCA) reported that celebrity-related scams have doubled since 2021, with these frauds costing British consumers more than £100 million annually. According to a recent study by the Fraud Advisory Panel, financial scams leveraging celebrity endorsements rose by 30 per cent in 2022 alone, a trend fuelled by increasingly sophisticated deepfake technology that makes these scams more believable than ever.

Not Just the UK 

The impact of celeb-bait scams is even more significant worldwide. In Australia, for instance, the Australian Competition and Consumer Commission (ACCC) reported that online scams, many featuring unauthorised celebrity endorsements, cost consumers an estimated AUD 2 billion in 2023. Social media platforms, particularly Facebook and Instagram, are frequent targets for these fraudulent ads, as scammers exploit their large audiences to reach thousands of potential victims within minutes.

The US has also seen similar issues, with the Federal Trade Commission (FTC) noting that more than $1 billion was lost to social media fraud in 2022 alone, a figure that has increased fivefold since 2019. Fake celebrity endorsements accounted for a large proportion of these losses, with reports indicating that over 40 per cent of people who experienced fraud in the past year encountered it on a social media platform.

Identify and Block Using Facial Recognition 

In a Meta blog post about how the tech giant is testing new ways to combat scams on its platforms (Facebook and Instagram), and especially celeb-bait scams, Meta stated: “We’re testing the use of facial recognition technology.” 

According to Meta, this new approach will identify and block such ads before they reach users, offering a stronger line of defence in the ongoing battle against online scammers. The approach represents one of Meta’s most proactive attempts yet to address a persistent problem that has impacted both high-profile public figures and unsuspecting social media users alike.

How Will Meta’s Facial Recognition Work? 

Meta’s facial recognition ad-blocking approach will build on its existing AI ad review systems, which scan for potentially fraudulent or policy-violating ads, but will introduce an additional layer of facial recognition that will work to verify the identities of celebrities in the ads. If an ad appears suspicious and contains the image of a public figure, Meta’s system will compare the individual’s face in the ad to their official Facebook or Instagram profile pictures. When a match is confirmed, and the ad is verified as a scam, Meta’s technology will delete the ad in real-time.

David Agranovich, Meta’s Director of Global Threat Disruption, emphasised the importance of this shift in a recent press briefing, saying: “This process is done in real-time and is faster and much more accurate than manual human reviews, so it allows us to apply our enforcement policies more quickly and protect people on our apps from scams and celebrities.” Agranovich noted that the system has yielded “promising results” in early tests with a select group of 50,000 celebrities and public figures, who will be able to opt out of this enrolment at any time.

According to Agranovich, the swift, automated nature of the system is critical to staying ahead of scammers, who often adapt their techniques as detection methods improve. The facial recognition system is not only intended to remove existing scam ads but to prevent them from spreading before they can reach a wide audience. Agranovich has highlighted how a rapid response of this kind is essential in a digital landscape where even a brief exposure to these ads can lead to significant financial losses for unsuspecting victims.

When? 

This new measure is set to begin its rollout in December 2024.

Meta’s Track Record and Renewed Focus on Privacy 

It’s worth noting, however, that Meta’s deployment of facial recognition technology marks a return to a tool it abandoned in 2021 amid concerns over privacy, accuracy, and potential biases in AI systems. Previously, Facebook used facial recognition for suggested photo tags, a feature that drew criticism and prompted the company to step back from the technology. This time, Meta says it has implemented additional safeguards to address such concerns, including the immediate deletion of facial data generated through the scam ad detection process.

Privacy 

Privacy remains a contentious issue with facial recognition technology. Addressing privacy concerns over its new approach, Meta has stated that the data generated in making the comparison will be stored securely and encrypted, never becoming visible to other users or even to the account owner themselves. As Meta’s Agranovich says, “Any facial data generated from these ads is deleted immediately after the match test, regardless of the result.” Meta is keen to highlight how it intends to use the facial recognition technology purely for combating celeb-bait scams and aiding account recovery. In cases of account recovery, users will be asked to submit a video selfie, which Meta’s system will then compare to the profile image associated with the account. This verification method is expected to be faster and more secure than traditional identity confirmation methods, such as uploading an official ID document.

Scaling the Solution and Potential Regulatory Hurdles 

Meta’s new system is set to be tested widely among a larger group of public figures in the coming months. Celebrities enrolled in the programme will receive in-app notifications and, if desired, can opt out at any time using the Accounts Centre. This large-scale trial comes as Meta faces increasing pressure from regulators, particularly in countries like Australia and the UK, where public outcry against celeb-bait scams has surged. The Australian Competition and Consumer Commission (ACCC) is currently engaged in a legal dispute with Meta over its perceived failure to stop scam ads, while mining magnate Andrew Forrest has also filed a lawsuit against the company for allegedly enabling fraudsters to misuse his image.

Martin Lewis Sued Facebook 

In the UK, personal finance guru Martin Lewis previously sued Facebook for allowing fake ads featuring his image, ultimately reaching a settlement in which Meta agreed to fund a £3 million scam prevention initiative through Citizens Advice. Nevertheless, Lewis continues to push for stronger regulations, recently urging the UK government to empower Ofcom with additional regulatory authority to combat scam ads. “These scams are not only deceptive but damaging to the reputations of the individuals featured in them,” Lewis stated, highlighting the broader impact that celeb-bait scams have beyond financial loss.

Despite the New Tech, It’s Still ‘A Numbers Game’ 

Despite Meta’s new approach, the company still faces a huge challenge. For example, Agranovich has admitted that, despite robust safeguards, some scams will still evade detection, saying, “It’s a numbers game,” and that, “While we have automated detection systems that run against ad creative that’s being created, scam networks are highly motivated to keep throwing things at the wall in hopes that something gets through.” As scam networks find new ways to bypass detection, Meta acknowledges that the technology will require continuous adaptation and improvement to keep up.

What About Concerns Over AI and Bias? 

In deploying facial recognition technology, Meta has also faced scrutiny over potential biases in AI and facial recognition systems, which have been shown to have variable accuracy across different demographics. The company claims that extensive testing and review have been undertaken to minimise such biases. Also, Meta has said it will not roll out the technology in regions where it lacks regulatory approval, such as in the UK and EU, indicating a cautious approach towards compliance and accountability.

Meta says it has “vetted these measures through our robust privacy and risk review process” and is committed to “sharing our approach to inform the industry’s defences against online scammers.” The company has also pledged to engage with regulators, policymakers, and industry experts to address ongoing challenges and align on best practices for facial recognition technology’s ethical use.

What Does This Mean for Your Business? 

Meta’s latest move to integrate facial recognition technology into its anti-scam measures signals a significant shift toward tackling the complex world of celeb-bait scams. However, as Meta ventures back into using facial recognition, it’s clear the company must balance robust security with privacy, a concern that continues to shadow the rollout. While the technology holds promise, particularly in increasing detection speed and reducing the frequency of celebrity scams, it will undoubtedly be scrutinised by both users and regulators who have long questioned the use of facial recognition on such a broad scale.

For everyday Facebook and Instagram users, Meta’s new facial recognition feature could mean greater security and fewer encounters with fake ads that exploit public figures for fraudulent schemes. If successful, the initiative could lessen the risk of users falling victim to scams that impersonate well-known personalities to promote fake investments or products. The added layer of facial recognition should serve as a safeguard, reducing the frequency of these fake ads in users’ feeds and building a safer browsing experience across Meta’s platforms.

For celebrities and public figures, this development is a significant step towards reclaiming control over their public images, which are often misused without permission. The new system will help protect their reputations, preventing unauthorised use of their likenesses in fraudulent ads. Figures like Martin Lewis, who has been vocal about the damage these scams cause, could benefit as Meta finally implements more targeted measures to shield them from unauthorised endorsements.

The impact of this initiative may extend to legitimate advertisers as well. Meta’s crackdown on celeb-bait scams will likely improve ad integrity on its platforms, helping businesses that rely on Facebook and Instagram to reach audiences without the risk of association with deceptive content. A cleaner, more trustworthy advertising environment could enhance user trust and, in turn, benefit brands that promote genuine products and services. As Meta focuses on strengthening its ad review systems, legitimate advertisers may find their content reaching more engaged, security-conscious users who are less wary of the ads they encounter online. In this way, Meta’s facial recognition technology could not only shield users and celebrities from scams but also foster a more secure, credible marketplace for businesses across its platforms.

Anthropic has unveiled an upgraded AI assistant, Claude 3.5 Sonnet, that can understand and interact with any desktop application in a human-like way, perhaps marking a new era of cross-platform automation and efficiency for businesses.

Anthropic? 

Anthropic is an AI safety and research company founded in 2021 by former OpenAI researchers, including siblings Dario and Daniela Amodei. Based in San Francisco, the company focuses on developing AI systems that align with human values and safety principles.

Claude 3.5 Sonnet Can Interact With Your Computer Like A Human 

Anthropic hopes its newly upgraded Claude 3.5 Sonnet is a substantial improvement over its predecessor and boasts that the new version has enhanced capabilities in coding and tool use. Most notably, it introduces a revolutionary feature now in public beta computer use. This feature enables the AI to actually interact with computer interfaces much like a human user, e.g. viewing screens, moving cursors, clicking buttons, and typing text.

As Anthropic says on its website: “Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta”. However, the company also admits that, “At this stage, it is still experimental – at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers and expect the capability to improve rapidly over time.” 

What Can Claude 3.5 Sonnet Do? 

With its new computer use feature, Claude 3.5 Sonnet can essentially automate tasks across various software applications without the need for specialised integrations or APIs. Developers can direct Claude to perform actions by providing instructions that the AI translates into computer commands. For example:

– Automating repetitive processes. Claude can handle mundane tasks such as data entry, form filling, or scheduling, freeing up human resources for more strategic activities.

– Software development and testing. Companies like Replit, for example, are using Claude to build features that evaluate apps during development, enhancing productivity and code quality. As Anthropic says,“Replit is using Claude 3.5 Sonnet’s capabilities with computer use and UI navigation to develop a key feature that evaluates apps as they’re being built for their Replit Agent product”.

– Complex multi-step tasks. The AI can carry out operations that require dozens or even hundreds of steps, thereby streamlining workflows that would otherwise be time-consuming.

Benefits for Business Users 

The introduction of Claude 3.5 Sonnet, therefore, appears to offer several potential advantages for businesses, such as:

– Increased efficiency. Automating repetitive and complex tasks reduces operational bottlenecks.

– Cost savings. By handling tasks traditionally performed by humans, businesses can lower labour costs.

– Enhanced productivity. Employees can focus on higher-level functions that require human judgement and creativity.

– Scalability. The AI can handle increasing workloads without the need for proportional increases in staff.

Examples of Business Applications 

Examples of how companies across various industries are exploring Claude’s potential include:

– Asana is using it to enhance project management by automating task assignments and updates.

– Canva is using Claude to assist in the designing and editing process, making creative tools more accessible.

– DoorDash (the US-based on-demand food delivery service) is using it to streamline logistics and order management through automated processes.

The Browser Company (a New York-based technology startup with its ‘Arc’ browser) is using Clause to automate web-based workflows to improve user experience.

How Good Is It? 

Claude 3.5 Sonnet is reported to have demonstrated impressive results on industry benchmarks, showcasing its advanced capabilities in coding and tool usage. In the realm of coding excellence, the model improved its performance on the SWE-bench Verified benchmark from 33.4 per cent to an impressive 49.0 per cent. This leap not only marks a significant advancement over its predecessor but also surpasses all other publicly available models. Such a performance appears to show superior coding skills and its potential to handle complex programming tasks effectively.

In terms of tool use proficiency, Claude 3.5 Sonnet enhanced its scores on the TAU-bench, an agentic tool use benchmark, from 62.6 per cent to 69.2 per cent in the retail domain. This improvement appears to show the model’s increased ability to utilise tools efficiently within specific industry contexts, thereby reflecting a good level of adaptability and practical utility in real-world scenarios.

Also, GitLab tested the model for DevSecOps tasks (integrating security into software development and operations tasks) and observed notable enhancements. “GitLab found it delivered stronger reasoning—up to 10 per cent across use cases—with no added latency,” noted Anthropic. This improvement without compromising speed appears to make Claude 3.5 Sonnet a good candidate for things like powering multi-step software development processes, offering both efficiency and high-level reasoning skills.

Claude 3.5 Haiku Too 

In addition to Claude 3.5 Sonnet, Anthropic says it’s set to release Claude 3.5 Haiku later this month. This AI model matches the performance of Claude 3 Opus, the company’s previous largest model, but offers similar speed and cost to the earlier Haiku version.

Claude 3.5 Haiku is particularly adept at coding tasks, scoring 40.6 per cent on SWE-bench Verified (a benchmark for coding accuracy and efficiency). Its low latency and improved instruction-following appear to make it ideal for user-facing products, specialised sub-agent tasks, and handling large volumes of personalised data.

Safety Measures and Concerns 

However, while the capabilities of Claude 3.5 Sonnet may be impressive, there are some valid concerns regarding potential misuse. For example:

– The risk of malicious activities. The AI’s ability to interact with desktop applications could be exploited for harmful purposes if not properly secured.

– Some error-prone behaviour. Anthropic acknowledges that the computer use feature is still experimental and may be cumbersome or inaccurate at times.

– Data privacy. The AI’s interaction with sensitive data requires stringent security protocols to prevent breaches.

Addressing These Concerns

Anthropic has, however, taken a proactive approach to trying to address potential safety concerns surrounding Claude 3.5 Sonnet. For example, the model underwent joint pre-deployment testing by the US AI Safety Institute and the UK Safety Institute, ensuring that safety evaluations were thorough and rigorous before release.

To manage risks responsibly, Anthropic follows the ASL-2 Standard under its Responsible Scaling Policy, which aims to mitigate any catastrophic risks associated with advanced AI systems. This policy reflects some commitment to developing AI that aligns with safe and responsible practices.

Also, Anthropic has developed new classifiers to detect potentially harmful uses of the model’s computer interaction capabilities. These classifiers are designed to identify and prevent misuse, such as spam, misinformation, or fraud, ensuring that Claude’s actions remain aligned with safe and ethical standards.

As Anthropic says, “Because computer use may provide a new vector for more familiar threats such as spam, misinformation, or fraud, we’re taking a proactive approach to promote its safe deployment.” 

Competitors

With the AI landscape evolving rapidly, it’s not surprising that there are several key players developing similar technologies. For example, OpenAI is working on AI agents capable of automating software tasks, with their GPT-4 model being a notable competitor. Also, Microsoft is introducing tools for building AI agents that can perform a variety of tasks across software platforms. Salesforce too is developing AI agent technology aimed at transforming customer relationship management and Amazon’s Adept is focusing on training models to navigate software and websites.

Anthropic, however, is hoping to distinguish itself through its commitment to safety and alignment with human values, aiming to balance innovation with responsibility.

What Does This Mean For Your Business? 

For Anthropic, the launch of an improved Claude 3.5 Sonnet marks a defining moment, potentially establishing the company as a leader in AI-driven business automation. By offering Claude’s computer interaction feature in public beta, Anthropic is positioning itself as a pioneer in cross-platform automation, a niche not yet fully realised by its competitors. This strategic move could strengthen its standing in an increasingly competitive field, as Anthropic’s focus on safety and ethical standards differentiates it from the likes of OpenAI and Microsoft. The enhanced capabilities and unique safety protocols built into Claude 3.5 Sonnet could provide Anthropic with a distinct advantage, particularly in appealing to businesses that are really set on only using the most secure and responsible AI applications. This focus may allow Anthropic to capture a segment of the market that is as concerned with AI safety as it is with productivity gains.

For competitors, Claude 3.5 Sonnet’s public beta launch raises the stakes. Companies like OpenAI, Microsoft, and Salesforce, which are also investing in AI agents for automation, will need to keep pace as Anthropic introduces new, tangible functionality that places AI capabilities directly onto the user’s desktop environment. These competitors may find themselves under increased pressure to accelerate their own development timelines, incorporate safety features, and refine their offerings to ensure they remain competitive with Claude’s human-like computer interaction abilities. For Adept (now part of Amazon), and other companies working to develop similar cross-platform tools, Anthropic’s progress may indicate the importance of safety features and real-world usability in building industry confidence.

The introduction of Claude 3.5 Sonnet offers substantial potential benefits for UK businesses choosing to incorporate this AI assistant into their operations. For organisations across sectors such as finance, healthcare, and logistics, Claude’s ability to handle repetitive tasks, complex multi-step workflows, and even creative processes could be transformative. By automating routine activities, such as data entry, scheduling, and system navigation, Claude 3.5 Sonnet could drive significant efficiency gains, freeing employees to focus on more strategic or human-centric tasks that require critical thinking and nuanced judgement. For UK businesses, which are often under pressure to maximise productivity while controlling operational costs, Claude could streamline workflows, reduce human error, and speed up project timelines, all while potentially lowering staffing costs.

Also, the scalability of Claude 3.5 Sonnet could be particularly beneficial for SMEs in the UK, which may lack the resources for extensive manual operations. By leveraging Claude’s automation capabilities, these businesses could more easily expand their services or manage growing workloads without the need for proportionate increases in staffing. The AI’s coding and tool-use improvements may also mean that it can assist developers, customer service representatives, and project managers alike, helping businesses across industries achieve smoother, more integrated operations.

For businesses that advertise heavily on platforms or deal with customer service interfaces, Claude’s ability to operate across desktop applications could allow for quicker, more personalised responses to customer inquiries, making customer interactions more efficient. Overall, the arrival of Claude 3.5 Sonnet may empower UK companies to enhance operational efficiency, improve service quality, and navigate growth challenges with greater agility. By setting a high bar for safety and adaptability, Claude 3.5 Sonnet appears to represent not only a new technological asset for businesses but also a step forward in the adoption of ethical, practical AI in commercial settings.

Former US President Donald Trump has claimed that Apple CEO Tim Cook recently called him to voice frustrations over financial penalties imposed by the European Union (EU) on the tech giant. According to Mr Trump, Cook is alarmed by the EU’s regulatory approach, including a significant tax penalty and other fines affecting Apple’s operations within the bloc.

The claim, made during Mr Trump’s appearance on the PBD Podcast, follows a contentious period for Apple and other tech companies under the EU’s stringent competition and digital service rules. For example, in September, Apple lost a significant legal battle over €13bn (£11bn) in unpaid taxes, with the EU’s highest court upholding the European Commission’s accusation of unlawful tax benefits provided by Ireland. Cook, as Mr Trump conveyed, criticised these findings as politically motivated.

Mr Trump recounted that Cook specifically highlighted a recent $15bn fine, with additional charges reportedly raising the total to around $17-18bn. This includes a €1.8bn fine issued earlier this year over alleged breaches in music streaming competition, favouring rival services like Spotify. Cook reportedly expressed frustration over the EU using these fines as revenue, accusing the bloc of building an “enterprise” out of antitrust penalties.

The European Commission, however, has defended its approach, stating that fines for competition breaches are not only punitive but also serve as a deterrent. A Commission spokesperson highlighted that the fines contribute to the EU’s general budget, indirectly reducing the tax burden on citizens. This response reflects the EU’s firm stance that companies operating in Europe must respect its laws and competition standards.

Mr Trump also mentioned ongoing conversations with other tech leaders, including Google’s Sundar Pichai and Meta’s Mark Zuckerberg, as part of his campaign outreach to prominent figures in the tech sector. Elon Musk, CEO of Tesla, and owner of X (formerly Twitter) has also shown support for Mr Trump, who has been vocal in his criticism of the EU’s stringent digital regulations, promising changes should he return to the White House.

As Mr Trump continues to engage with tech executives, regulatory pressures on tech companies in the EU are likely to remain a significant point of contention. With new regulations such as the Digital Markets Act and the Digital Services Act, the EU is signalling a continued commitment to reining in large tech platforms, which could lead to further scrutiny and financial repercussions for major firms operating within its borders.

Researchers have unveiled a new jailbreaking technique, ‘Deceptive Delight,’ which successfully manipulates AI models to produce unsafe responses in only three interactions.

Palo Alto Networks’ Unit 42 researchers developed the method by embedding restricted topics within benign prompts, effectively bypassing safety filters. By carefully layering requests, researchers managed to coerce AI models into generating unsafe outputs e.g., harmful instructions, such as guidance on creating dangerous items (e.g., Molotov cocktails).

Unit 42 reported that in tests across 8,000 scenarios and eight AI models, Deceptive Delight achieved a 65 per cent success rate in producing harmful content within three interactions, with some models reaching attack success rates (ASR) above 80 per cent. By contrast, sending unsafe prompts directly without jailbreaking yielded only a 5.8 per cent ASR.

This technique is part of a rising trend in AI manipulation. Previous methods include Brown University’s language translation bypass, which achieved nearly a 50 per cent success rate, and Microsoft’s ‘Skeleton Key’ technique, which prompts models to alter safe behaviour guidelines. Each approach reveals ways attackers exploit model vulnerabilities, underscoring AI’s ongoing security risks.

Businesses can mitigate these risks through updated model filtering tools, prompt analysis, and swift adoption of AI security patches. Enhanced oversight can prevent manipulation tactics like Deceptive Delight, reducing the chance of harmful content generation.

In this insight, we explore how UK startup RBW Electric Cars merges classic craftsmanship with electric technology to advance sustainability, alongside its EV-as-a-Service offshoot, Spirit EV, and their combined potential for eco-friendly motoring.

Redefining Luxury Vehicles in Lichfield 

UK-based startup RBW Electric Cars, headquartered in Lichfield, Staffordshire, is blending sustainability with the quintessential British motoring experience by redefining luxury vehicles through marrying classic car craftsmanship with cutting-edge electric technology. In essence, they’re creating classic car-style EVs. RBW hopes that this innovative approach captures the charm of iconic British sports cars while aligning with the global shift towards sustainable transportation in a way that appeals to luxury car buyers.

Heritage and Innovation 

Founded in 2017, RBW Electric Cars has positioned itself at the forefront of a niche market, offering brand-new electric vehicles that encapsulate the spirit of classic British design.

Models 

Their flagship models, the RBW Roadster and the RBW GT, are clearly crafted to resemble classics such as the MG, Aston Martin, and Jensen. However, beneath their vintage exteriors lies a modern electric drivetrain, delivering a seamless and environmentally friendly driving experience.

In RBW’s 28,000-square-foot facility, each vehicle is individually tailored to the customer’s preferences, with in-house paint and trim specialists ready to bring any vision to life. This bespoke approach ensures that every car is not just a mode of transportation but highly personalised.

What’s So Different About RBW Cars? 

Several factors distinguish RBW Electric Cars from other manufacturers in the industry, not least the old-style, classic look of their models. In addition, one of the most notable differences is their use of a patented power drivetrain system, which places the electric motor at the rear of the car. This is designed to enhance handling and retain the authentic sports car feel that enthusiasts may recognise and enjoy.

Also, the Turntide lithium-ion battery technology is strategically placed under the bonnet, providing balanced weight distribution. This placement reportedly not only improves the vehicle’s handling but also maximises battery capacity without compromising the car’s classic design.

Classic Bodies 

The feature that gives these vehicles an instant ‘wow factor’ is the use of British Motor Heritage bodyshells, produced to original specifications, ensuring that the vehicles maintain their iconic appearance while benefiting from modern materials and processes.

Quality 

RBW’s commitment to quality also extends to the interior, where hand-stitched leather upholstery and bespoke suspension systems are standard. Customers can choose from a curated selection of paint colours or request specialised options, making each vehicle unique. Modern features such as Bluetooth connectivity, Apple CarPlay, crash sensors, and air conditioning are also integrated, providing the comforts expected in contemporary vehicles without detracting from the nostalgic appeal.

Sustainability at the Core 

At the heart of RBW’s mission is a dedication to sustainability. By utilising electric propulsion, RBW’s vehicles contribute to reducing carbon emissions and promoting cleaner transportation options. The cars offer an estimated range of 150 miles from a 35kW battery, making them suitable for both daily commutes and leisurely drives through the countryside.

Also, building new vehicles from the ground up allows RBW to optimise manufacturing processes for environmental efficiency. This approach aims to reduce waste and avoid the challenges associated with converting existing petrol-powered cars to electric. The modern electric systems also require less maintenance than traditional combustion engines, potentially extending the lifespan of the vehicles and further reducing their environmental impact.

Introducing Spirit EV and the EV-as-a-Service Model 

Building on the success of RBW Electric Cars, CEO Peter Swain and his team have now launched an offshoot company called Spirit EV. This new venture aims to offer an ‘EV-as-a-Service model’, providing design, testing, and production services with an artisan approach. Spirit EV seeks to share RBW’s expertise with other manufacturers and builders interested in developing custom electric vehicles with classic styling.

The Benefits of EV-as-a-Service 

The EV-as-a-Service concept allows companies to tap into Spirit EV’s advanced technology and patented components without the significant investment typically required for research and development. This collaborative model not only accelerates the production of electric vehicles but also promotes sustainability across the industry by making electric technology more accessible.

Plans to Expand 

Spirit EV plans to expand its operations internationally and is reported to be considering opening a factory in Danville, Virginia, by February 2025. This expansion could be a sign of the growing global demand for sustainable transportation solutions and highlights RBW’s ambition and commitment to meeting that demand.

Balancing Tradition and Modernity 

RBW Electric Cars and Spirit EV represent a unique intersection of tradition and modernity. By preserving the aesthetic appeal of classic British cars and infusing them with state-of-the-art electric technology, they offer products that may appeal to both vintage car enthusiasts and advocates for sustainable living.

Like Vintage But Without the Extensive Maintenance (and Pollution) 

This approach addresses some of the limitations often associated with owning classic cars. For example, real vintage vehicles typically require extensive maintenance and may not meet modern safety or environmental standards. RBW’s cars, however, provide the reliability of new vehicles, reducing the need for frequent repairs and offering features that enhance safety and convenience.

Ryan Morris, president of Meson Capital Partners and chairman of RBW, highlighted the practicality of this approach in an interview with TechCrunch back in 2023. He noted that building a classic-style car from scratch with modern electric components reduces the maintenance burden on owners, potentially expanding the market for such vehicles. “I’ve got two kids, I work a lot, I’m busy. I don’t have time to fix my car every third time I drive it,” he remarked, emphasising the appeal of reliability in today’s fast-paced world.

Economic and Environmental Impact 

From an economic standpoint, RBW and Spirit EV’s business model aims to make custom electric vehicles more affordable and accessible. By purchasing components in larger quantities and streamlining production processes, they can reduce costs compared to traditional auto restoration shops. This efficiency not only benefits the company but also makes sustainable transportation options more attainable for consumers.

Environmentally, the promotion of electric vehicles contributes to global efforts to reduce greenhouse gas emissions. As countries implement stricter regulations on emissions and encourage the adoption of electric vehicles, companies like RBW may begin to play a crucial role in facilitating this transition. By offering vehicles that are both sustainable and aesthetically appealing, RBW hopes to address environmental concerns while meeting consumer desires.

Challenges and Future Prospects 

Despite their innovative offerings, RBW and Spirit EV face challenges inherent in entering a new and evolving market. The demand for brand-new, classic-style electric vehicles is still emerging, and companies must navigate uncertainties related to consumer acceptance and market dynamics.

In an interview, Peter Swain acknowledged these challenges but remains optimistic about the future, saying, “We’re in a new market, which we’ve created. It’s pretty unique—brand-new, classic EV cars. But where’s it going to go? Let’s be honest, we don’t know exactly”. The company’s strategy involves continuous innovation and responsiveness to market feedback, positioning them to adapt as the industry evolves.

Connecting EV-as-a-Service to Sustainability 

The EV-as-a-Service model offered by Spirit EV has significant implications for sustainability. By providing resources and expertise to other manufacturers, it helps reduce the overall environmental impact of vehicle production. This collaborative approach fosters innovation and promotes the adoption of electric vehicles on a broader scale.

Experience and Knowledge 

Neil Heslington, who leads development for Spirit EV, brings valuable experience from his work on early electric vehicles like the Smart EV for Daimler in 2008. His insights into developing projects to original equipment manufacturer standards, but with lower budgets and less time, directly inform Spirit EV’s offerings. It is hoped that this knowledge will enable the company to assist others in bringing electric vehicles to market more efficiently and sustainably.

What Does This Mean for Your Organisation? 

RBW Electric Cars and its offshoot, Spirit EV, take a novel and niche approach within the automotive industry, seeking to bridge the gap between classic car aesthetics and modern sustainable technology. By combining the timeless appeal of vintage British sports cars with contemporary electric drivetrains, they aim to offer a unique product that caters to enthusiasts of classic design while addressing environmental concerns.

Their strategy of using patented technology and bespoke craftsmanship allows them to stand out in a competitive market. Their focus on customisation and quality may appeal to a niche segment of consumers who value both tradition and innovation. The introduction of Spirit EV’s EV-as-a-Service model presents an opportunity for collaboration within the industry, potentially facilitating a broader adoption of electric vehicles by making technology and expertise more accessible.

However, the venture is not without its challenges. Entering a market that is still emerging carries uncertainties, particularly regarding consumer acceptance and the scalability of such specialised products. The higher costs associated with bespoke manufacturing and advanced technology may also limit their appeal to a wider audience. Additionally, while electric vehicles contribute to reducing emissions during operation, considerations around the environmental impact of battery production and the sourcing of materials remain key issues within the industry.

As RBW Electric Cars and Spirit EV move forward, their success may depend on their ability to navigate these challenges by adapting to market demands and advancing technological efficiencies. Their efforts contribute to the ongoing dialogue about sustainability in transportation, highlighting both the possibilities and complexities of integrating eco-friendly practices with consumer desires for performance and style.

RBW’s initiative, therefore, represents one of many paths the automotive and EV industry is exploring in the quest for sustainable solutions. Their offering highlights the potential for innovation when heritage and modern technology intersect, while also reminding stakeholders of the practical considerations that accompany such ventures. The future impact of their approach will likely unfold as part of the broader evolution of the electric vehicle market and its response to global sustainability goals.

With the new ‘Canvas’ feature, you can make some really cool edits in real-time when you’re creating your text masterpieces in ChatGPT 4o, all handily kept in a separate window.

[Note – To Watch This Video without glitches/interruptions, It’s best to download it first]