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Tech recruitment outlook: high demand for specialist skills will drive the market in 2026 | Computer Weekly

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Tech recruitment outlook: high demand for specialist skills will drive the market in 2026 | Computer Weekly


As we move into 2026, some clear trends will crystallise in the UK tech recruitment and talent market. The seeds of this were sown in 2025 – against a subdued economic backdrop and rising labour and other costs, businesses took a cautious approach to hiring – but there were demand hotspots for specialist tech skills and roles including AI, data, enterprise applications and cyber security.

Tech is fundamental to modern enterprise, which insulates it more than other sectors from economic highs and lows. Gartner predicts that global IT spend will increase by nearly 10% in 2026 – far exceeding GDP growth in most major economies. This increased spend will fuel aspects of tech hiring too.

Data is key to the AI ‘iceberg’

AI will be top of the agenda. However, the success of AI relies on a number of other contributing skills and specialisms, which will therefore be critical. A useful analogy here is an iceberg. AI is the visible tip – but there is essential work going on below the waterline.

Most crucial of all is data. It used to be said that we are all technology companies, but it’s truer to say that we are all data companies now. You can’t make AI work without good data – the focus has to be on how businesses acquire, organise, structure and secure data so that AI can turn it into meaningful insights. For that reason, we expect to see strong and growing demand for data roles (architects, engineers, scientists) as well as related areas including cyber security (data security being critical) and platform engineering.

Meanwhile, the market for generalist tech skills and roles will most likely remain at flat or see very modest growth, similar to 2025. The traditional staples of the IT workforce – testers, Java developers, routine coders – essentially perform repeatable tasks that are increasingly being outsourced or offshored, or indeed replaced by AI itself (checked and supervised by members of the human team).

However, on the positive side, there are some encouraging signs from the US, where there has been a pick-up in tech hiring volumes in the second half of 2025. With the UK and other economies generally following the US trend on around a six-month time lag, this could bode well for the market in 2026.

Against all of this, there remain some significant unknowns. There will come a tipping point around AI, a pivotal moment when, in one or more sectors, an organisation makes a significant breakthrough that enables them to truly supercharge their business. This will spark a domino effect among competitors scrambling to keep up, galvanising the tech recruitment market across the piece – somewhat akin to the e-commerce boom of the 1990s and 2000s, perhaps.

When this will happen is impossible to know – it could be during 2026, or it could be later. But at some stage, the market will shift and shift quickly.

Upskilling and reskilling

A key part of an organisation’s AI journey is having the talent needed both to develop/deploy it and to actually use it effectively. The fundamental realisation here is that AI is not a whole skillset in itself – rather, it is an add-on to other existing skills, such as engineering, data, cloud, and so on.

Therefore, it isn’t a question of mass-recruitment of “AI professionals” – who largely don’t exist anyway – but rather a case of upskilling and reskilling all the good talent you already have. This can be done through encouraging staff to safely test and experiment themselves, making formal and informal AI-related training and learning resources available, and knowledge augmentation and skills transfer from contractors who come into the business.

This should be a case of pushing at an open door, with tech staff highly motivated to upskill themselves given AI’s key importance. I expect that many hiring processes will include testing for AI proficiency and certifications in the coming years.

However, this is an area where Harvey Nash research shows businesses need to do more. AI is the biggest area of skills shortage, but over half of respondents of our 2024 leadership report admitted they have no or only limited AI upskilling programmes in place.

Talent-sourcing models

With such rapid shifts in the tech industry, companies’ talent and resourcing models are changing too. Traditional permanent and contractor hiring of technology talent is still the backbone, but more strategic and flexible solutions are also coming into play – recruiting firms must rise to this challenge. Instead of reactive hiring programmes, there is significant growth in “statement of work” agreements where recruiting firms take a real stake in processes, and “hire-train-deploy” programmes that deliver workplace-ready talent.

Organisations’ tech skill needs are evolving faster than we have ever seen before – the speed of change is only going to increase. The challenge for businesses is how they keep pace and ensure they have the right skills in the right place at the right time. It’s going to be another fast-moving and exciting year.



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A School District Tried to Help Train Waymos to Stop for School Buses. It Didn’t Work

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A School District Tried to Help Train Waymos to Stop for School Buses. It Didn’t Work


One of the purported advantages of self-driving car tech is that every car can learn from one vehicle’s mistakes. Here’s how Waymo puts it on its website: “The Waymo Driver learns from the collective experiences gathered across our fleet, including previous hardware generations.”

But in Austin, Waymo’s vehicles struggled for months to learn how to stop for school buses as drivers picked up and dropped off children. An official with the Austin Independent School District (AISD) alleged that the vehicles had, in at least 19 instances, “illegally and dangerously” passed the district’s school buses while their red lights were flashing and their stop arms were extended rather than coming to complete stops, as the law requires.

In early December, Waymo even issued a federal recall related to the incidents, acknowledging at least 12 of them to federal regulators at the National Highway Traffic Safety Administration (NHTSA), which oversees road safety. According to federal filings, engineers with the self-driving vehicle company had “developed software changes to address the behavior” weeks before.

But even after the recall, the school-bus-passing incidents continued, according to school officials and a report from the National Transportation Safety Board (NTSB), an independent federal safety watchdog that’s also investigating the situation.

Now, email and text messages between school officials and Waymo representatives, obtained by WIRED through a public records request, show the lengths that the Austin public school district and Waymo went to try to solve the problem. AISD even hosted a half-day “data collection” event in a school parking lot in mid-December, the documents show, with several employees pulling together school buses and stop-arm signals from across the fleet so the self-driving car company could collect information related to vehicles and their flashing lights.

Still, by mid-January, over a month later, the school district reported at least four more school-bus-passing incidents had taken place in Austin. “The data we collected from the beginning of the school year to the end of the semester shows that about 98 percent of people that receive one violation do not receive another,” an official with the school’s police department told the local NBC affiliate that month. “That tells us that the person is learning, but it does not appear the Waymo automated driver system is learning through its software updates, its recall, what have you, because we are still having violations.”

The situation raises questions about the self-driving technologies’ curious blind spots and the industry’s ability to compensate for them even after they’ve been spotted.

Self-driving software has long struggled with recognizing flashing emergency lights and road safety devices with long, thin arms, including gates and stop-arms, says Missy Cummings, who researches autonomous vehicles at George Mason University and served as a safety adviser to the NHTSA during the Biden administration. “If [the company] didn’t fix this a few years ago, the more they drive, the more it’s going to be a problem,” she says. “That’s exactly what’s happening here.”

Waymo did not respond to WIRED’s requests for comment. A spokesperson for the Austin Independent School District referred WIRED to the NTSB while the incidents are under investigation. A spokesperson for the NTSB declined to answer WIRED’s questions while its investigation continues.

Illegal Passing

By midwinter of 2025, AISD officials were frustrated. In one of the 19 incidents alleged by a lawyer for the district in a letter later released by federal road safety regulators, a Waymo passed a school bus letting off children “only moments after a student crossed in front of the vehicle, and while the student was still in the road.”

“Alarmingly,” the lawyer wrote, five of the alleged incidents had occurred after Waymo had assured the district that it had updated its software to fix the problem. Federal regulators with the NHTSA had already launched a probe into the behavior. “Austin ISD is evaluating all potential legal remedies at its disposal and intends to take whatever action is necessary to protect the safety of its students, if required,” the lawyer warned.



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The Deceptively Tricky Art of Designing a Steering Wheel

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The Deceptively Tricky Art of Designing a Steering Wheel


Cars didn’t always have steering wheels. The very first car—the 1885 Benz Patent-Motorwagen, invented by Karl Benz—used a tiller system: a horizontal bar with a handle mounted to a vertical bar. The lever-like handle was similar in many respects to a boat’s rudder. Amazingly, it would be another nine years before French engineer Alfred Vacheron saw sense and fitted the first known steering wheel to his 4-horsepower Panhard for the Paris-Rouen race. Just four years later, in 1898, Panhard made the infinitely preferable and safer steering wheel standard on all its cars. And we’ve been using them ever since.

Hans-Peter Wunderlich is Mercedes’ creative director of interior design. He has been designing steering wheels for 35 years. “I started in 1991 on my first,” he tells me. “A steering wheel is really the most challenging and difficult element to sculpture, to design, to develop in the car.” It is so difficult that Wunderlich has used the wheel as a test on potential recruits.

“When we hire a designer, I have given them the task, after I see a nice portfolio, to draw me a steering wheel,” he says. “The steering wheel is, for me, the proof. Should I hire them or not? If a designer is able to create a perfect steering wheel, even just as a scribble, then they will be a good designer for the total interior of a car.”

CAD design renders of Mercedes and Maybach designs before prototyping.

Courtesy of Mercedes

It was this challenge, in part, that attracted Ive and his team. “Our starting point was trying to understand the essential nature of the problem to be solved, and that normally means dismissing received wisdom,” Ive tells me. “A car is the aggregation of multiple products, and, in many ways, we’re designing furniture. We’re designing complex and sophisticated input methods. One of the challenges was to try to create cohesion. You don’t get something to be cohesive by a set of rules. That was a wonderful new challenge, and one wrestled with over a number of years.”

For both Ive and Wunderlich, science accompanies the art of design. They talk of the intricacies of the ergonomics, the logic of the switches, factoring in an “exploding element in the center” (the airbag), which is getting more and more complicated, says Wunderlich. “Even the rim is an ergonomic science in itself,” he adds, saying that his team works hand in glove with Mercedes’ in-house ergonomics department on these stages. “It’s almost 50-50. We get requirements data from engineering and ergonomics.”

Spinning Out

Look closely at your steering wheel rim; in cross-section, it won’t be round. Cut it into segments, and each will likely have a different profile, aiming to optimize grip wherever your hands grasp the wheel. Even the padding has to be just right. “It mustn’t be like bone but also not too fat. You need a nice balance,” Wunderlich says. “[It must say] this car is solid, it’s quality, it’s strong, it’s powerful, but it’s not crude.”

“If you hold the wheel on the three and nine o’clock positions, you can carve in with your fingers on the rear of the rim—so you have the hump, the scallop of the rim,” Wunderlich says. “And then we carve into a valley where your fingers could rest. That means your hands can close. You have the feeling you’re holding the car. This is so challenging, because in that area you have such a technical structure to maintain—complex electronics and heating elements. We torture the engineers to keep that area so small so we can sculpt it out.”

Ive tortured Raffaele De Simone, Ferrari’s chief engineer and head development driver. De Simone is sometimes described at the company as “Customer No. 1” because, apparently, no Ferrari road car leaves the factory until he is satisfied with its performance.



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Deals From the Amazon Spring Sale That Passed Our BS Test

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Deals From the Amazon Spring Sale That Passed Our BS Test


After a relatively quiet few months, Amazon is bringing back another of its famously invented shopping holidays. The Amazon Spring Sale is in its third year, running now through March 31. Like during last year’s event, Amazon is promising customers thousands of deals across various daily, themed categories.

Of course, as we’ve seen in the past with Prime Day, Black Friday, and Cyber Monday, the true discounts on good products will likely be buried among junk deals on shoddy wares. The WIRED Reviews team tests gear all year long, and we fact-checked discounts on the products we actively recommend to our friends, family, and readers. We’ve highlighted the best deals from the Amazon Spring Sale below.

Be sure to check out our other deals coverage for vacuum discounts, smart bird feeders, and more.

Updated March 27, 2026: We’ve added additional deals, removed expired discounts, and checked for accuracy throughout.

WIRED Featured Deals:

Our audiophile reviewers test more headphones than anyone would deem sane or necessary. The Sony WH-1000XM6 are the pair they’ve declared the best wireless headphones of all, with “the best noise reduction on Earth.” You’ll also get 30 hours of battery life, multipoint Bluetooth pairing, folding ear cups and a travel case, sparkling and clear sound, and fabulous controls. They’re nearly perfect. When they’re not on sale for this price, they’re selling for the full MSRP. If you’re in the market, now is the time—or, if you’re not ready right now, wait until the next time they’re on sale for this price.



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