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AI Cuts Tech Jobs but Boosts Non-Tech Salaries by 28%

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A new report by labor market intelligence firm Lightcast reveals a dual impact of artificial intelligence on the global workforce: while the technology sector faces widespread job cuts, non-technical roles requiring AI skills are commanding significantly higher salaries. The study, analyzing 1.3 billion job postings, found that non-tech positions with AI-related requirements offer an average of $18,000 more in annual pay—28% higher than similar roles without such skills [1]. This divergence highlights a fundamental shift in labor market dynamics as AI adoption expands beyond its origins in Silicon Valley.

The technology sector, once the epicenter of AI innovation, is now experiencing significant workforce contractions. Companies are prioritizing automation in software engineering, IT support, and administrative functions, with layoffs reaching 80,000 in some estimates. Microsoft, for instance, has announced 15,000 job cuts alongside an $80 billion investment in AI infrastructure. The Lightcast report notes that AI-related job postings within IT and computer science have declined from 61% in 2019 to 49% in 2024, signaling a contraction in traditional tech roles as automation assumes more responsibilities [1].

Conversely, AI skills are proliferating across industries such as marketing, finance, education, and customer service. Non-technical sectors now account for over half of all AI-related job postings, a stark contrast to previous years when AI was largely confined to tech domains. Generative AI tools like ChatGPT and Microsoft Copilot have driven an 800% surge in job postings for these skills since 2022. Roles in customer support, sales, and manufacturing are particularly affected, with employers offering substantial pay increases to candidates proficient in AI technologies.

The study emphasizes that AI proficiency is becoming a critical asset for workers outside the tech sector. Possessing two or more AI skills correlates with a 43% premium on advertised salaries, according to Lightcast’s 2025 Artificial Intelligence Index Report. In 2024, over 66,000 job postings specifically cited generative AI as a required skill—a fourfold increase from the prior year. Large language modeling, ChatGPT expertise, and prompt engineering are among the fastest-growing skill categories.

Employers are increasingly seeking a hybrid skillset that combines technical AI knowledge with soft skills such as communication, leadership, and problem-solving. These competencies are now listed as the top ten requested skills in AI-focused job postings, alongside foundational technical training. Christina Inge of Thoughtlight, an AI marketing service, notes that workers leveraging AI tools—such as sales professionals using AI for targeted client interactions—can significantly enhance their value to employers. Similarly, customer service roles require fluency in interpreting AI outputs and troubleshooting system errors, skills that remain difficult to automate entirely [1].

The economic implications of this shift are profound. While tech workers in highly automatable roles face displacement, millions of non-technical employees are gaining new career opportunities or wage increases. Cole Napper of Lightcast highlights the “cost to complacency,” warning that those who fail to adapt to AI-driven workflows risk falling behind in an increasingly competitive job market. The report also cautions that the salary premium for AI skills may vary across income levels, with higher-paying tech roles potentially phasing out while lower-paying positions see modest gains [1].

For organizations, the challenge lies in embedding AI fluency across departments rather than treating it as an isolated technical specialty. Companies are investing in upskilling marketing teams, HR departments, and finance analysts to build a workforce capable of integrating AI tools into core business functions. As Napper observes, the pace of AI-related job postings has accelerated dramatically over recent years, with no signs of slowing down. The ability to combine AI capabilities with human judgment and creativity is now a key differentiator for both employers and employees in the evolving labor market [1].

Source: [1] [title:AI is driving mass layoffs in tech, but it’s boosting salaries by $18,000 a year everywhere else, study says] [url:https://fortune.com/2025/07/27/artificial-intelligence-skills-18000-salaries-28-percent/]



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‘Tech-savvy’ lawyers ‘key’ in AI era, says CEO of law firm Ashurst

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Technology’s use draws customers, but causes rethink of billing and training model

Paul Jenkins, CEO of London-based international law firm Ashurst, says its use of artificial intelligence is impressing clients.

RURIKA IMAHASHI

SYDNEY — Being “tech-savvy” is the “key principle” for lawyers to gain the ability to adapt in the artificial intelligence era as AI makes increasing inroads in the legal sector, according to the CEO of London-based international law firm Ashurst.





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Tesla releases ‘Master Plan Part 4’, a smorgasbord of vague AI promises

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Tesla has finally released its ‘Master Plan Part 4’ and it’s nothing more than a smorgasbord of AI promises about its humanoid robot, which can’t even serve popcorn.

For more than a year, Tesla CEO Elon Musk has been teasing the release of his ‘Master Plan Part 4’ for the company.

Since 2006, Musk has been releasing “secret master plans” for Tesla to explain the company’s broader mission and product roadmap.

Musk himself recently admitted that Master Plan Part 2, released in 2016, is not even completed yet. He believes that will happen “next year”, but we heard that one before.

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Master Plan Part 3 was released in 2023, and it was about scaling when, in fact, Tesla’s electric vehicle sales have been in decline since then. They peaked in 2023.

Now, ‘Master Plan Part 4’ was released on X, and it’s all about “sustainable abundance” through AI and robotics.

Here it is:

Introduction

Since Tesla’s founding, each iteration of our master plan has focused on our north star: to deliver unconstrained sustainability without compromise.

Humans are toolmakers. At Tesla, we make physical products at scale and at a low cost with the goal of making life better for everyone. As the influence and impact of artificial intelligence (AI) technology increases, the mission set forth in Master Plan Part IV should come as no surprise.

This next chapter in Tesla’s story will help create a world we’ve only just begun to imagine and will do so at a scale that we have yet to see. We are building the products and services that bring AI into the physical world.

We have been working tirelessly for nearly two decades to create the foundation for this technological renaissance through the development of electric vehicles, energy products and humanoid robots.

Now, we are combining our manufacturing capabilities with our autonomous prowess to deliver new products and services that will accelerate global prosperity and human thriving driven by economic growth shared by all. We are unifying our hardware and software at scale, and in doing so, we are creating a safer, cleaner and more enjoyable world.

This is sustainable abundance.

Guiding principles

Growth is infinite.

Growth in one area does not require decline in another. Shortages in resources can be remedied by improved technology, greater innovation and new ideas.

The technologies that gave us the ability to power machines led to industrial revolutions that have widened our economic landscape, creating more opportunities for all. Groundbreaking inventions like the semiconductor and the internet have expanded—not diminished—social and economic opportunities across all aspects of the human experience, from creating more jobs to providing greater access to information to enabling deeper interpersonal connections.

Our desire to push beyond what is considered achievable will foster the growth needed for truly sustainable abundance.

Innovation removes constraints.

For centuries, humanity’s primary mode of transportation was the horse. Then, over the last fifty-plus years, cars with internal combustion engines powered by fossil fuels became the standard and expected transportation method. The idea that batteries could be produced affordably and at a scale large enough to pivot the transportation industry away from fossil fuels seemed a fool’s errand—until Tesla led the way forward.

Through continued innovation, we have overcome the technological constraints of battery development and built an industry powered by renewable resources.

Technology solves tangible problems.

The products and services born out of the acceleration toward sustainable abundance will advance humanity by solving real-world problems. To further accelerate our innovation, we build each product more efficiently and more sustainably than the last.

Solar energy generation and large-scale battery storage are increasing the availability and reliability of clean electricity in our communities—and are doing so more affordably and more sustainably.

Autonomous vehicles have the capacity to dramatically improve the affordability, availability and safety of transportation while reducing pollution, particularly in our increasingly dense global cities.

Optimus—our autonomous humanoid robot—is changing not only the perception of labor itself but its availability and capability. Jobs and tasks that are particularly monotonous or dangerous can now be accomplished by other means. In this way, Optimus’s mission is to give people back more time to do what they love.

Autonomy must benefit all of humanity.

The tools we make at Tesla help us build the products that advance human prosperity.

How we develop and use autonomy—and the new capabilities it makes available to us—should be informed by its ability to enhance the human condition. Making daily life better—and safer—for all people through our autonomous technology has always been, and continues to be, our focus.

Greater access drives greater growth.

Making technologically advanced products that are affordable and available at scale is required to build a flourishing and unconstrained society. It serves to further democratize society while raising everyone’s quality of life in the process. The hallmark of meritocracy is creating opportunities that enable each person to use their skills to accomplish whatever they imagine.

Everyone deserves access to these opportunities, and technological growth can help ensure that each of us is able to maximize our most limited resource: time.

We’re accelerating the world’s transition to sustainable abundance.

We must make one thing clear: this challenge will be extremely difficult to overcome. The elimination of scarcity will require tireless and exquisite execution. Some will perceive it as impossible. And plenty of others will laud every obstacle and setback we inevitably encounter along the way. But once we overcome this challenge, our critics will come to see that what they once thought was impossible is indeed possible. And that will be fine with us, because what matters most is that, together, we create a sustainable and truly abundant future for generations to come.

All worthwhile journeys are long. And they all begin with a first step.

Our first step was to make an exciting sports car—Roadster. Then we leveraged those profits to fund the development and production of more affordable, yet still exciting products—Model S and Model X. Then we repeated the process, bringing us to Model 3 and Model Y and onward.

This process required us to take many steps, some of them small and others large. But ultimately each win led to another win, and even with our failures, we were able to keep building momentum. Our momentum allowed us to build out a fully integrated ecosystem of sustainable products, from transport to energy generation, battery storage and robotics.

Today we are on the cusp of a revolutionary period primed for unprecedented growth. And this time it will not be a single step but a leap forward for Tesla and humanity as a whole. The tools we are going to develop will help us build the kind of world that we’ve always dreamed of—a world of sustainable abundance—by redefining the fundamental building blocks of labor, mobility and energy at scale and for all.

Electrek’s Take

Tesla is lost as a company. This is a bunch of utopic nonsense, complete with AI “abundance” buzzwords that Grok could have easily written.

Elon’s first two master plans were straightforward, featuring clear, actionable steps and a well-defined product roadmap.

In comparison, this is opium meant for Tesla shareholders to get their fix of potential “infinite growth” as an AI stock. It’s not real.

Everyone can see the value in an affordable humanoid robot capable of autonomously performing useful tasks. You don’t need to sell people on a weird utopic future around it. Start by demonstrating that you can create such a robot.

We have seen no evidence of that yet.

All of Tesla’s Optimus robot demonstrations have been supported by humans remotely controlling them. Most recently, Tesla had Optimus serving popcorn to guests at its diner in Los Angeles. It worked for a few hours on the first day, and the robot has reportedly been offline for a month since the restaurant’s launch.

I know I might sound like a hater, but I don’t care. Tesla is not a company that is about to deliver a future of “sustainable abundance”.

Tesla is a company that did the impossible and significantly accelerated the world’s transition to electric transportation. Then, its CEO went nuts. Sales started to go down, earnings began to drop, and to maintain a nonsensical stock price, the CEO decided to ride the AI bubble. That’s about it.

I much prefer my own secret “Master Plan Part 4” for Tesla released a few months ago.

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Stroke centres in England given AI tool that will help 50% of patients recover | Stroke

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Half of all people who experience a stroke in England will now recover thanks to a revolutionary AI scanning system that increases the number of patients avoiding serious disability.

The NHS has equipped every stroke centre in England with life-saving software that quickly tells doctors if they need to perform emergency surgery and can triple the rate of recovery.

The world-first technology analyses brain CT scans of stroke patients arriving at hospital, taking just a minute to identify the type and severity of stroke and the most appropriate treatment.

It means doctors can then offer drugs or surgery much more quickly, with the system shortening the average time between patients arriving at hospital and starting treatment by one hour – from 140 minutes to 79 minutes.

Quicker treatment means the proportion of patients recovering with no or only slight disability – defined as achieving functional independence – has tripled from 16% to 48% in NHS pilots of the system.

Now the tool has been introduced at all 107 stroke centres, and could transform the care of the 80,000 people who have a stroke in England each year. The announcement came on the final day of the European Society of Cardiology congress in Madrid, the world’s largest heart conference.

David Hargroves, the NHS national clinical director for stroke, said: “This AI decision support technology is revolutionising how we help people who have been affected by a stroke.

“It is estimated a patient loses around 2m brain cells a minute at the start of a stroke, which is why rapid diagnosis and treatment is so critical. AI decision support software provides real-time interpretation of patients’ brain scans – supporting expert doctors and other NHS staff to make faster treatment decisions.

“NHS stroke teams have been leading the way in rolling out AI, and with every stroke centre now using the technology, it is already playing a key role in improving the care of thousands of people in England every year.”

Rapid intervention is vital if a stroke is suspected. Blood supply to part of the brain is blocked during a stroke and if not treated quickly it can be fatal or cause permanent, long-term disabilities, such as paralysis, memory loss and communication issues.

But it can be difficult to know whether patients need an operation or drugs, because the interpretation of brain scans is complicated and specialist doctors are required. The AI system is able to recognise patterns in brain scans that human eyes cannot see, removing uncertainty and delays in treatment.

Meanwhile, at the conference in Madrid, a study revealed how living on a noisy road can increase the risk of stroke even when there is a minimal amount of pollution.

Doctors advised sealing windows or moving to a quieter bedroom to escape passing traffic, which can cause stress and disrupt sleep.

The analysis examined traffic noise and air pollution around the homes of 26,723 Danish men aged 65 to 74 over four decades. It found a 14.9 dB increase in traffic noise – the difference between a quiet sidestreet and a main road – raised the risk of stroke by 12.4%.

The lead author Dr Stephan Mayntz, from Odense university hospital in Denmark, said: “Traffic noise is a significant environmental risk factor for stroke, independently associated with a higher risk even at low levels of air pollution.

“These findings highlight the need to address traffic noise as part of public health interventions to reduce the stroke burden. This isn’t about brief loud events; it’s the chronic day-evening-night noise that disrupts sleep and activates stress pathways.”



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