JLR Is Now Using The AI Damage Scanners That Hertz Customers Hate

Published

3 weeks ago

August 23, 2025

Before new cars reach dealerships, AI scanners uncover flaws most people would never notice, changing vehicle inspections forever

                                        https://www.carscoops.com/author/bradcarscoops-com/

by Brad Anderson

11 hours ago

JLR Is Now Using The AI Damage Scanners That Hertz Customers Hate

Jaguar Land Rover is deploying AI-powered scanners at three major US vehicle ports.
UVeye’s system detects dents, scratches, and damage as small as 20 millimeters.
Other major companies, including Amazon and GM, are already using this technology.

Vehicle scanners powered by artificial intelligence have made renting cars through providers like Hertz a major headache for many consumers in the US, but for buyers of new Jaguar Land Rover models, the same technology could prove to be a welcome safeguard.

Read: Hertz’s AI Found A Dent You Can’t Even See And Charged Hundreds To Fix It

Through a new partnership with UVeye, the same company behind Hertz’s scanning machines, incoming Jaguar Land Rover vehicles at major US seaports will be checked for imperfections and damage before they make their way to dealerships.

Jaguar Land Rover is the first brand to employ this technology at scale in the US. It is installing automated inspection stations at its ports in Brunswick, Georgia, Baltimore, Maryland, and Port Hueneme, California.

Faster and more reliable checks

Vehicles are driven through the stations at slow speeds, and within a matter of seconds, the system can identify damage as small as 20 mm (0.7 inches), including tiny dents, scratches, and other damage that could have occurred during production or during the shipment process.

Any issues that are detected by the system are instantly sent to tablets that operators use. The result is said to be faster vehicle flow and fewer manual errors that could occur when employees personally inspect each vehicle.

“Together, UVeye and JLR are setting a new standard for vehicle logistics, utilizing AI to enhance quality assurance from the moment a vehicle enters the country,” UVeye chief executive and co-founder Amir Hever said.

“By deploying our technology at port, JLR is creating a new benchmark of transparency, traceability, and trust throughout the supply chain. This is about more than efficient port processing; it’s about building smarter, faster, and more consistent automotive logistics that benefit everyone from OEMs and dealerships to drivers.”

More: Lawmakers Demand Answers From Hertz On AI Rental Damages System

UVeye’s vehicle inspection stations come equipped with a suite of underbody scanners, tire analyzers, and 360-degree exterior detection systems.

The technology itself is far from limited to JLR. UVeye’s inspection stations include underbody scanners, tire analyzers, and 360-degree exterior detection systems. They are also being used by brands including Amazon and General Motors, in addition to several rental car companies, making it clear that, for better or worse, AI-driven vehicle inspections are quickly spreading across the industry.

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Tools & Platforms

Big tech CEOs are fueling the fire of AI confusion

Published

17 minutes ago

September 11, 2025

Ross Kelly

The specter of AI has been looming over the labor market for nearly three years since the launch of ChatGPT. The early days of the generative AI ‘boom’ prompted ghoulish warnings about mass layoffs and an automated world where humans were rendered obsolete.

These nightmares of a dystopian future haven’t quite materialized yet. Rather than the predicted torrent of job losses, we’re in the midst of a slow trickle, with customer service workers, HR professionals, accountants, and software developers all touted as prime candidates for the AI chopping block.

There have been some concerning developments in the aforementioned fields over the last two years. Tech companies like Klarna have cut customer service spaces in a bid to automate processes, with attrition bringing worker numbers down as worker replacements are filled by AI. CEO Sebastian Siemiatkowski was highly vocal on the success of this strategy, boasting its AI could do the work of around 700 staff.

Software developers have also been told repeatedly that they’re going to be rendered obsolete by AI coding tools. In the HR space, it’s the same situation, with IBM CEO Arvind Krishna having specifically earmarked this area of the business as ripe for automation during the frenzied AI hype in mid-2023.

But let’s face it: software engineers are still here, HR workers are still here, and customer service workers are still having to contend with the often asinine complaints and requests of consumers.

Klarna has u-turned on its AI-powered customer service drive. Admittedly, it isn’t going back to a fully-human workforce and has instead opted for a nightmarish VIP-style setup where you pay a premium to speak to a human – but it’s better than nothing.

AI coding tools, for all the hype surrounding these solutions, are proving troublesome and wholly incapable of replacing developers and engineers.

So what’s been driving the anxiety which permeates the job market? Loudmouth tech executives who change their tune on a whim and leave everyone’s head spinning trying to work out what’s actually going on.

Heads need to spin or shareholders will make them roll

It’s understandable that they’d spend so much time hyping up the products they sell, after all their jobs depend on it. But every soundbite, every podcast appearance, and media opportunity adds to the confusion.

Take Salesforce CEO Marc Benioff as an example. He’s been among the most vocal big tech figures on the topic of AI, more specifically agentic AI. The company launched its Agentforce service in September last year, and sparked something of an agentic AI arms race in the months following.

Unlike the naysayers and merchants of doom elsewhere in the industry, Benioff spoke candidly about the fact that while agentic AI had the potential to replace humans, they’d still “remain at the center of the story” at Salesforce.

These comments came during a fireside chat at the AI for Good Global Summit in July this year. Speaking to Nicholas Thompson, CEO at The Atlantic, Benioff said he wasn’t convinced at the prospect of mass layoffs due to the technology.

This, of course, was based on the company’s own experience integrating the technology internally. AI hadn’t resulted in mass cuts and Benioff said it would result in the “radical augmentation of the workforce” rather than its deterioration.

Naturally, those comments were well received across the industry, especially at a time when concerns were mounting over the impact of AI on white-collar and entry-level workers.

Fast forward a few short months and Benioff was back to talking about job losses, this time boasting that the company had cut around 4,000 customer support roles for AI.

Speaking on The Logan Bartlett Show, Benioff said the AI-fueled cuts amounted to almost 50% of customer support staff, all due to its own Agentforce platform.

“I’ve reduced it from 9,000 heads to about 5,000 because I need less heads,” he boasted.

The lack of consistent messaging merely adds to the confusion and anxiety already felt across the industry. Worse still, it begs the question over whether earlier, calming comments were just a preamble to the sucker punch that was always coming.

I suppose he’s technically correct that humans would still be “part of the story” at Salesforce – now there’s just fewer of them.

They’re making it up as they go along

Benioff’s not alone here. Other big tech executives have spent two or so years fawning about the huge potential of the technology, but it often lacks substance and leaves consumers wondering whether they actually have a concrete plan for the technology and its use in the enterprise.

Sam Altman – and OpenAI as a company – are among the worst offenders on the messaging front. The AI darling doesn’t seem to know what it actually is, and at this stage must have developed carpal tunnel syndrome stretching its fingers into every pie possible.

Its bread and butter was the consumer market; now it’s the enterprise market. Next they’ve moved into the hardware and search engine spaces. Fast forward a few weeks and it’s working on a recruitment tool to tee up a battle with LinkedIn.

Like Benioff, Altman waxes lyrical about the technology and the profound effect it’ll have on society. From comments suggesting the industry is in a ‘bubble’ and that AI is delivering on the dead internet theory to the simply preposterous idea of hosting data centers in space, it once again leaves everyone’s head spinning.

The reality is that big tech companies and those at the helm are making things up as they go along. They’ve poured billions of dollars into the technology so far and have to justify these investments – that’s where the hype comes from.

Worst of all, they’re not entirely convinced it’ll work out long-term, so when there’s an opportunity to showcase that AI can be used to automate roles, human workers are sacrificed on the altar of shareholder value.

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Tools & Platforms

Can QUALCOM be called the Smart AI Chip Stock to Purchase in 2025?

Published

56 minutes ago

September 11, 2025

Warisha Rashid

QUALCOMM is commonly painted as one of the key actors in the semiconductor arena, particularly in the advent of artificial intelligence rebranding technological patterns in the world.

With the continued demand of AI-driven devices, the established group of QUALCOMM as a leading supplier in the mobile chipset industry is providing the company with a stable flow in an ever evolving market.

Top analysts have recently become optimistic on QUALCOMM on the grounds that the smartphone market has apparently stabilized and growth in content is increasing with the launch of new AI powered phones.

As L. Bernstein where QUALCOMM works, its senior semiconductor analyst Stacy Rasgon told Thejepkema that the company is championed to pursue high single-digit to low double-digit growth in Android chipset business.

This optimism is supported by the projected roll out of generative AI capabilities in millions of smartphones and devices around the globe, which will bring more chip demand and the larger revenue bases to the company.

The confidence shown by Rasgon implies that QUALCOMM is not just over-the-quarters of its hardware-volume-based legacy, but that it is now far larger in its interests in AI-driven developments that could unlock new content classification and market shares.

Fund managers as Mairs and Power view QUALCOMM as a value tech company that has strong cash flows and has demonstrated the ability to remain ahead of technology in wireless technology and space.

The licensing arm of the company has suffered the hands of the law by some of its clients but the company has still managed to prove its technical superiority and its position as an indispensable entity to deliver innovative chip technologies.

The longevity of the industry positioning is also advantageous to QUALCOMM in that the company remains strong in spite of changes in the market. The capability of QUALCOMM to stay competitive is dependent on the potential to continue to offer high-performance solutions that are AI-driven in a market that attaches importance to speed, efficiency and flexibility.

Though QUALCOMM gets favorable reviews, it should be noted that other AI chipset providers which focus on high-computing are becoming a target of investors as NVIDIA and AMD. These firms are sprinting to create cutting edge GPU solutions that can be utilised in data centers, automated vehicles, and in wider enterprise applications.

In the future, QUALCOMM can be a clever, practical investment option and worth considering to help investors stay secure, improve innovation and access the efficiency of the booming AI market.

The move to premium AI chip designs in the Android and iPhone markets is where the company has a great potential since it can apply diversified growth and strengthen content revenues in the long term.

In a June CNBC program, Bernstein senior U.S. semiconductor analyst Stacy Rasgon gave a reason why he was a bull who believed in Qualcomm. QCOM was one of the most preferred stock ideas within the analyst at the period. This was his word at the time:

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Tools & Platforms

Mental Health Technology Market Forecast Report 2025-2030:

Published

1 hour ago

September 11, 2025

Research and Markets

Dublin, Sept. 11, 2025 (GLOBE NEWSWIRE) — The “Mental Health Technology Market Research Report 2025-2030” report has been added to ResearchAndMarkets.com’s offering.

The Mental Health Technology Market was valued at USD 15.22 billion in 2024, and is projected to reach USD 30.98 billion by 2030, rising at a CAGR of 12.58%.

The global mental health technology market is set to grow due to rising mental health awareness and supportive government & NGO initiatives.

KEY TAKEAWAYS

By Technology: The software & services segment accounted for the largest market share of over 70%.
By Age: The teenager segment shows the highest growth of 13.05% during the forecast period.
By Application: The clinical mental health management segment dominates and holds the largest market share in 2024.
By End-User: The individual consumers segment holds the largest share of the global mental health technology market.
By Geography: In 2024, North America accounted for a share of over 50% of the global mental health technology market.

MENTAL HEALTH TECHNOLOGY MARKET NEWS

On June 4, 2025, Iris Telehealth and Holmusk announced a strategic partnership to integrate their advanced AI platforms, combining telepsychiatry services with real-world behavioral health data and localized insights to enhance and personalize mental health care delivery.
On April 22, 2025, Lyra Health, one of the leaders in workforce mental health solutions, introduced Lyra Empower, an AI-powered platform designed to deliver high-quality, transformative mental health care globally. The platform integrates advanced technology with clinical excellence to support HR leaders, members, and care providers.

MENTAL HEALTH TECHNOLOGY MARKET TRENDS

AI-driven mental health solutions, including chatbots and virtual therapists, are revolutionizing the way individuals access mental healthcare. These tools offer 24/7 support, enabling users to receive immediate, judgment-free guidance on issues ranging from stress to depression. By leveraging natural language processing and machine learning, AI platforms can deliver personalized, data-informed interactions that mimic human conversation, helping bridge the gap between demand and availability of mental health professionals.

Teletherapy and virtual counseling gained widespread acceptance, particularly following the global shift toward remote services during the COVID-19 pandemic. These platforms offer greater flexibility and accessibility, allowing patients to connect with licensed therapists from the comfort of their homes. This model is especially beneficial for individuals in rural or underserved areas.

Wearable devices such as the Apple Watch, Fitbit, and Whoop are increasingly being integrated into mental health care by monitoring physiological indicators like sleep patterns, heart rate variability (HRV), and stress levels. These metrics can offer early signals of mental health changes and enable real-time feedback for both users and clinicians. The growing synergy between wearables and mental health platforms helps foster proactive mental well-being management and supports data-driven treatment approaches.

The mobile app ecosystem for mental health has expanded rapidly, with apps like Headspace, Calm, Moodpath, and Sanvello gaining millions of users worldwide. These platforms offer guided meditation, mood tracking, cognitive behavioral therapy (CBT) tools, and personalized mental health plans. Their ease of use, affordability, and on-demand access make them an attractive option for individuals seeking daily support and self-care solutions.

MENTAL HEALTH TECHNOLOGY MARKET DRIVERS

Increasing awareness of mental health as a crucial component of overall well-being has significantly fueled demand for digital mental health solutions. Public discourse, social media advocacy, and corporate wellness initiatives have helped reduce stigma and encourage proactive mental health care. This cultural shift has empowered individuals to seek support earlier and more frequently, creating a receptive market for mental health apps, teletherapy platforms, and AI-driven self-help tools.

Governments and international organizations are actively promoting mental health through funding, policy support, and public health campaigns. For example, the World Health Organization (WHO) has launched global mental wellness initiatives, while countries like the U.K. and Australia have invested in digital mental health platforms through public healthcare systems. Non-governmental organizations (NGO) also collaborate with tech providers to deploy tools in underserved regions. These efforts legitimize digital mental health technologies and accelerate their adoption on a systemic level.

The widespread availability of smartphones and affordable internet has been a major enabler for the mental health technology market. With billions of people connected globally, many in remote or resource-constrained areas, digital platforms now offer scalable, on-demand access to support. This infrastructure allows mobile apps, virtual therapy, and wearable-integrated tools to reach diverse populations, making mental health care more inclusive and continuous.

The global rise in mental health disorders, such as anxiety, depression, and stress-related conditions, has created an urgent need for scalable interventions. This growing burden has overwhelmed traditional healthcare systems and propelled the development and adoption of technology-driven solutions that can meet rising demand more efficiently.

INDUSTRY RESTRAINTS

The mental health technology sector faces significant regulatory uncertainty due to inconsistent standards across regions and the absence of clear, comprehensive frameworks governing digital mental health tools. This lack of uniform regulation creates confusion for developers and clinicians alike, leading to uneven product quality and varied user protections.

Mental health apps and digital platforms collect highly sensitive personal data, making privacy and security a top concern. Inadequate data protection can erode user trust and lead to regulatory violations. The fear of breaches or misuse of personal mental health information poses a significant barrier to widespread adoption.

MENTAL HEALTH TECHNOLOGY MARKET GEOGRAPHICAL ANALYSIS

In 2024, North America accounted for a share of over 50% of the global mental health technology market. North America’s mental health technology market is flourishing with widespread adoption, commercialization, and competitive saturation. Cognitive behavioral therapy (CBT) digital platforms like Woebot, SilverCloud Health, and other FDA-approved tools have gained widespread adoption as standalone mental health support systems and add-on tools to traditional therapy.

A breakthrough policy change took place in July 2024, when Medicare introduced new codes for payment to compensate providers and developers for offering digital mental health treatments, such as app-based CBT, AI-facilitated therapy aids, and remote mental well-being courses. The step was taken considering the increasing body of clinical evidence that demonstrates how digital therapeutics can equal or surpass conventional interventions for some behavioral disorders.

There is a growing public recognition of mental health as a critical component of overall well-being in North America. Rising cases of depression, anxiety, stress, PTSD, and burnout, especially post-COVID-19, have led to a surge in demand for accessible, stigma-free mental health support.

The APAC region is witnessing significant growth in the global mental health technology market, with the fastest-growing CAGR of 13.18% during the forecast period. APAC has become a hotspot for mental health tech startups, especially in countries like Singapore, India, Japan, and South Korea. Startups are leveraging AI, chatbots, digital CBT, and behavioral analytics to create engaging and personalized tools.

The widespread adoption of smartphones and increasing internet connectivity across APAC, including in rural and semi-urban areas, is enabling the delivery of mental health services via mobile platforms. For example, India and Southeast Asia have millions of new internet users annually, making mental health apps and teletherapy accessible to large populations.

One of the principal drivers of APAC mental health tech uptake is smartphone penetration and internet use. China, India, South Korea, and Indonesia alone have a combined population of several hundred million web users who increasingly turn to mobile apps to cope with emotion, stress, and guided self-help.

In much of APAC, mental illness remains a taboo subject, particularly among elderly segments. The stigma has traditionally acted as a deterrent for people to seek help. But the younger generation (18-35 age group) is challenging this trend with a larger receptivity to experimenting with self-help tools, AI chatbots, and online counseling platforms. As the tide of awareness increases, APAC is all set to rank as one of the world’s fastest-growing mental health tech markets.

MENTAL HEALTH TECHNOLOGY MARKET VENDOR LANDSCAPE

The global mental health technology market report consists of exclusive data on 32 vendors. The market is moderately to highly competitive, with the presence of a diverse mix of players ranging from large tech giants and healthcare platforms to startups and specialized mental health providers. The competitive environment is shaped by continuous technological innovation, strategic partnerships, and increasing investment in mental health-related digital tools. Vendors compete primarily on factors such as user engagement, clinical effectiveness, AI capabilities, etc. Woebot and Wysa have integrated natural language processing (NLP) and machine learning to personalize user interactions.

A key trend in the mental health tech space is the growing enterprise adoption of digital wellness solutions. Platforms like Headspace Health are expanding into the corporate sector with offerings like “Headspace for Work,” reflecting rising employer demand for scalable, preventive mental health support for employees. Due to growing demand for accessible and scalable mental health solutions, vendors are increasingly focusing on mental health apps, teletherapy platforms, AI chatbots, wearables, etc.

Key Vendors

Apple
Amwell
BetterHelp
Calm
Google
Headspace
Lyra Health
Talkspace

Other Prominent Vendors

Advanced Data Systems (ADS)
AdvancedMD
Ava Mind
Brightline
Cerebral
Compulink
Eleanor Health
Iris Telehealth
Kintsugi Mindful Wellness
Meru Health
Modern Health
Muse
Oracle
Ouraring
OxfordVR
Qualifacts
SonderMind
Spring Care
Talkiatry
Unmind
Woebot Health
Workit Health
Wysa
XRHealth

Key Attributes:

Report Attribute	Details
No. of Pages	135
Forecast Period	2024 – 2030
Estimated Market Value (USD) in 2024	$15.22 Billion
Forecasted Market Value (USD) by 2030	$30.98 Billion
Compound Annual Growth Rate	12.5%
Regions Covered	Global

Key Topics Covered:

Chapter 1: Global Mental Health Technology Market Overview

Executive Summary
Key Findings
Key Developments

Chapter 2: Global Mental Health Technology Market Segmentation Data

Technology Market Insights (2021-2030)
- Software & Services
- Hardware
Age Market Insights (2021-2030)
Application Market Insights (2021-2030)
- Clinical Mental Health Management
- Preventive & Wellness-Oriented Mental Health Support
End-user Market Insights (2021-2030)
- Individual Consumers
- Healthcare Providers
- Wellness Providers

Chapter 3: Global Mental Health Technology Market Prospects & Opportunities

Global Mental Health Technology Market Drivers
Global Mental Health Technology Market Trends
Global Mental Health Technology Market Constraints

Chapter 4: Global Mental Health Technology Market Overview

Competitive Landscape
Key Players
Key Company Profiles

For more information about this report visit https://www.researchandmarkets.com/r/fxuq78

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