Morgan Stanley Warns AI Could Eliminate 200,000 Banking Jobs in Europe’s banks could cut about 10% of jobs by 2030 as AI and branch closures drive cost cuts under investor pressure.

More than 200,000 banking jobs in Europe could be eliminated by the end of the decade as lenders accelerate their adoption of artificial intelligence and reduce the number of physical branches.

The warning comes from analysts at Morgan Stanley and was first reported by the Financial Times.

According to the analysis, Europe’s banks could reduce their workforce by about 10% by 2030. The estimate is based on a review of 35 major lenders that together employ around 2.12 million people. The US IT unemployment fell to 4.6% in April, according to data from Janco Associates. Still, jobseekers — particularly midlevel professionals without AI expertise — face increasing challenges as AI and automation reshape the employment landscape.

The Wall Street Journal reported that the number of unemployed IT workers fell to 119,000 last month. Employers remain selective, with hiring concentrated in areas such as AI, cloud computing, and cybersecurity. Many companies are looking to AI tools to increase productivity, often reducing demand for routine technical roles.

What’s behind the decline in IT unemployment IT Job Market and US National Employment Data

IT Job Market and US National Employment Data – On a monthly basis – typically on the first Friday of the month – Janco publishes an analysis of the IT Job Market utilizing the BLS labor data and its proprietary data.

IT Hiring Slows – IT Pros Face Shrinking IT Job Market

Janco forecasts that the IT Job Market Will Shrink Again in FY 2025

The Janco and eJobDescription.com not only look at base salaries, they also report on total compensation and hiring trends for IT professionals.

IT Job Market Size Trend

The IT job Market may improve by year end

Source BLS analysis by Janco Associates, Inc. Hiring of IT Pros is hindered by the lack of qualified individuals and a slowing economic picture. This will have a dampening impact on the growth of the IT Job Market size.

IT Job Market Change – November 2025

IT Job Market shrank by 4,300 jobs in November and 32,000 YTD

Updated with the data from the BLS and Janco Associates Inc as of Deember 2025. Analysis shows that IT Job Market has shrunk by 152,500 jobs in 2024 and 2025 combined

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Updated

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IT Pros Hiring Picture Mixed

Layoffs abound and there no longer is robust hiring trend for IT Professionals – the economy is slowing. However, there are a number of jobs unfilled by IT Pros. The primary culprit is the lack of qualified individuals to fill the open positions. In our opinion, the IT Job Market is currently at no growth!

The number of unfilled jobs trend line is down as the economy softens and CIOs and CFOs look to control costs and eliminate requisitions for positions that cannot be filled. There was a major pullback of the number of excess jobs for IT Pros – layoffs have impact on number of unfilled jobs available for IT Professionals.

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The current size of the IT job market to 4.03 million positions.
The size of the Data Processing, Hosting, and Related Services market has not grown as fast as the Computer systems design and related services portion of the overall IT Job Market. IT Unemployment Ticked Down in April. But So Did the Size of the IT Job Market.

Jobs in tech are getting harder to find as AI weighs on hiring, leading some workers to leave the field The unemployment rate in the information-technology job market fell to 4.6% in April from 5% the prior month. But the outlook remains bleak for those without artificial-intelligence skills.

The number of unemployed IT workers dropped to 119,000 from 133,000 in March, according to consulting firm Janco Associates, which bases its findings on data from the U.S. Labor Department.

Employers Added 177,000 Jobs in April Despite Tariff Uncertainty

​Hiring slowed slightly from March​’s pace, while the unemployment rate held at 4.2%

The U.S. economy added 177,000 jobs in April, signaling a solid job market despite the rollout of President Trump’s tariffs. WSJ’s Matt Grossman explains what to know about the report and what it means for the months ahead. The U.S. labor market steadily added jobs last month despite jolting tariff announcements that many economists expect will give way to a trade policy-induced slowdown later this year. The basics on the president’s far-reaching protectionist agenda President Trump said the European Union would face a 50% tariff, and he threatened other companies like Apple and Samsung with tariffs for products made overseas. President Trump said the European Union would face a 50% tariff, and he threatened other companies like Apple and Samsung with tariffs for products made overseas. President Trump’s tariff campaign hit a roadblock on May 28 when a U.S. court struck down many of the levies, saying they exceeded presidential authority. Trade Court Strikes Down Trump’s Global Tariffs Businesses and states had sued the government, saying the president didn’t have the authority to impose the levies WSJ’s Asia economics reporter explains how markets have reacted after a federal trade court struck down President Trump’s sweeping tariffs and the implications for international trade. A federal trade court ruled President Trump didn’t have the authority to impose sweeping tariffs on virtually every nation, voiding the levies that have sparked a global trade war and threatened to upend the world economy. Tariff Ruling Is a Setback for Trump but Doesn’t End Trade War

Trade experts say Trump won’t abandon levies after court decision sows confusion. WSJ’s Asia economics reporter explains the implications for international trade after a federal trade court struck down President Trump’s sweeping tariffs. Tech Job Seekers Without AI Skills Face a New Reality: Lower Salaries and Fewer Roles. The IT job market in the U.S. is expected to shrink by another 20,000 to 30,000 jobs in 2024, while AI accelerates automation of some tech jobs. The rise of artificial intelligence is affecting job seekers in tech who, accustomed to high paychecks and robust demand for their skills, are facing a new reality: Learn AI and don’t expect the same pay packages you were getting a few years ago. Tech Layoffs Just Keep Coming as Sector Resets for AI. DocuSign is latest to cut jobs after years of industry spending and growth without constraint european banks may cut over 200,000 jobs by 2030 because of AI: Morgan Stanley report european banks are preparing for large-scale job cuts as artificial intelligence becomes a core part of their operations. According to a new analysis by Morgan Stanley, reported by the Financial Times, more than 200,000 banking jobs in Europe could be lost by 2030. This would amount to around 10 per cent of the workforce across 35 major European banks.

The report said banks are increasingly using AI to improve efficiency and reduce costs, while also shutting physical branches as more customers shift to digital banking.

Morgan Stanley found that job losses are likely to be highest in back-office functions, including risk management, compliance and internal operations. These roles rely heavily on data processing, document checks and reporting, tasks that AI systems can carry out faster and at a lower cost.

According to the analysis, banks expect efficiency gains of up to 30 per cent by using AI-driven tools for activities such as reviewing spreadsheets, monitoring transactions and managing regulatory requirements.

European banks are under pressure from investors to reduce costs and improve returns, which continue to lag behind their US counterparts.

Several lenders have already announced job cuts. In November, Deutsche Bank’s asset management arm DWS said it planned to cut around one-fifth of its full-time workforce by 2028. In March, Société Générale chief executive Slawomir Krupa said “nothing is sacred” as the French bank works to rein in its high cost base. Morgan Stanley said artificial intelligence offers banks an opportunity to improve cost-to-income ratios, a key measure closely watched by investors. The report added that faster digitalisation could reshape European banking in the coming years, particularly in France and Germany, where cost pressures remain high.

Banks are also experimenting with new uses of AI. UBS has begun using the technology to create analyst avatars that send videos to clients.

Jason Napier, head of European banks research at UBS, said efficiency gains from AI are already visible in sectors such as audit, law and consulting, though banks have yet to fully realise similar benefits.

“Cost bases remain large, and these powerful new tools are still not fully implemented,” Napier told Financial Times.

As part of its AI push, UBS recently sent 250 of its most senior leaders to Oxford University for an AI-focused leadership summit, according to people familiar with the matter. Some banking executives have urged caution. Conor Hillery, JPMorgan Chase’s co-head for Europe, the Middle East and Africa, warned against losing focus on core banking skills while adopting AI.

He said JPMorgan was trying to balance the use of AI to speed up routine tasks while ensuring junior staff continue to build essential expertise.

“Otherwise, we’re storing up a big problem for the future,” Hillery said, while speaking to Financial Times. AI in Banking Sector: Artificial While intelligence, or AI, is making our work easier, it’s also posing a growing threat to jobs. AI, which has so far been dominant in the tech sector, is now poised to bring significant changes to the banking sector as well. AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications Artificial Intelligence is defined as the ability of a computer program or a machine to think and learn similar to humans, utilizing Artificial Neural Network systems to be as cognitive as possible. Neural networks exemplify a quite different kind of learning device. Work on neural networks was originally inspired by research on modeling of the human brain. Another input comes from studies of associationist psychology, particularly behaviorism. A neural network is a large network of nodes connected by links. These nodes are information processing elements based on a simple model of the neuron in the human brain. A node sums the stimuli entering it through the links and has a threshold above which it will execute, or fire, and pass a stimulus to the connected nodes. A link has a weighting that is applied to the stimulus passing along it. The link weights enhance or inhibit the stimuli. The knowledge held in the network is distributed throughout it in the form of features such as these thresholds and weights. The network has an input layer of nodes, an output layer, and a number of intermediate layers in between. Learning in, or ‘programming’ of, a neural network proceeds broadly as follows. The network is set to its initial condition, typically with thresholds and weights set at random. It is presented with a learning set of pairs of inputs and outputs that it is then taken through. For each input the output is observed and adjustments are made to the thresholds and weights according to some strategy. The process is repeated until the learning set is exhausted.

Neural networks represent an attempt to mimic the biological nervous system with respect to both architecture as well as information processing strategies. The network consists of simple processing elements that are interconnected via weights. The network is first trained using an appropriate learning algorithm for the estimation of interconnection weights. Once the network is trained, unknown test signals can be classified. Behavior includes movement, social interaction, cognition, and learning. At its core, behavior provides animals with adaptive mechanisms for adjusting to changes in their environment and for manipulating the world around them. This chapter illustrates that using the four central questions of animal behavior—causation, development, survival value, and evolution—a testable hypotheses can be formed and much deeper understanding of behavior can be achieved. The discussion expands these questions and analyzes how they can be applied. Two animals are discussed in particular—the wolf and the cockroach—that have contributed greatly to the understanding of animal behavior. Concludes with an overview of the history of the study of animal behavior. Comparative psychology is defined as the study of similarities and differences in the behavioral and psychological capacities of various species, which encompasses evolutionary relationships, species-typical behaviors, and the use of nonhuman species as models to understand human behavior. Because an understanding of social relations is in one way or another fundamental across all of the social and behavioral sciences, social psychology is a crossroads discipline. Managing that position, that is, acquiring theoretical insights and new methods from neighboring disciplines while exporting its own theories, findings, and tools to those disciplines, represents an important challenge for social psychology. Neuroscience is one of the most heavily experimental fields of biological and medical research. As such, statistical approaches have traditionally focused on testing specific predictions based upon well-focused hypotheses. However, neuroscience data are often derived from repeated measurements and stimulus type presentations with a limited number of subjects, some of which may have incomplete data per subject. Here we provide an introduction to a group of diverse and powerful statistical approaches, which we term the ‘5 Ms’, which have been successfully used in other fields of biological research facing similar constraints. The standard treatment of missing data in most statistical packages is complete case (CC) analysis done by casewise deletion. Any observation that has a missing value for any variable is automatically discarded and only complete observations are analyzed. The main potential advantage of this approach is its simplicity, as standard complete data statistical analysis can be applied straightforwardly. Disadvantages stem from the potential loss of information in discarding incomplete cases. This is particularly acute in multivariate settings, where incomplete cases are often a substantial portion of the entire data set and deleting them would entail throwing away large amounts of data. This loss of information leads to two problems: loss of precision (increasing the uncertainty of the estimations) and bias when the missing data mechanism is not MCAR, but only MAR, because in that situation the complete observations are not a random sample of all the observations.¹ Figure 14.35 shows the complete stage as recommended. We can highlight that verification is a very important part of the complete.

Such data sets are similar to the previous ones, though instead of giving marks, the individuals interviewed must indicate an order for some given criteria. The given example is based on the preferences of students for certain subjects.

The complete data set is given in Appendix 2, §4. This data set can be analyzed as such, but it is preferable to use the doubled procedure as such described in Section 11.3.2. Correspondence analysis results of the doubled data set are given in Fig. 8.25.

• 200,000 European banking jobs could be lost by 2030, analysts warn
• Physical bank closures have already led to widespread losses
• JPMorgan Chase CEO disagrees – we need entry-level jobs for long-term success

The report claims as many as 200,000 European banking jobs are forecast to be at risk by 2030 as a result of AI, equating to around 10% of Europe’s finance workforce across 35 major banks.

Job cuts are mostly expected to hit back- and middle-office roles, including risk management and compliance, where AI can deliver around 30% efficiency gains. Could AI replace bankers?

Banks have already been criticized for closing physical locations in recent years to cut costs, with over 6,000 closures in the UK since 2015, but their models are being challenged once more as artificial intelligence threatens many of the remaining human workers.

Already, we’ve seen some of the effects of AI on the banking workforce, with ABN Amro, Société Générale and Goldman Sachs all warning of potential job cuts or hiring freezes. However, JPMorgan Chase CEO Jamie Dimon warned of the opposite – removing junior roles could undermine future skills and training, therefore while such a move could prove successful in the short term, it could lead to long-term failures.

This could also lead to career ladder disruptions, where a lack of entry-level roles make the sector inaccessible to newly-qualified workers.

Dimon even suggested that AI could hold the key to unlocking shorter working weeks and better work-life balance for employees. I tried 70+ best AI tools in 2026 if you work with AI tools every day like I do, you probably know this already: that most of them sound better on the landing page than they perform in real life.

So instead of repackaging PR blurbs and feature checklists, I decided to actually try them.

This guide is the result of hundreds of hours spent signing up, testing features, running real workflows, and figuring out which AI tools actually help get work done, across every major use case I could think of. Best AI image generator of 2026 Hands-on with the best AI image generators when you purchase through links on our site, we may earn an affiliate commission. What’s the best AI image generator? They may only be a few years old, but the world of genAI is fast-moving and these are our favorite apps out there right now. The AI model is trained on millions or billions of images, each of which is deconstructed into stored noise. When a user enters in a text prompt, for example, “draw me a cat”, the model strips away this noise layer by layer, like a sculptor chipping away at a marble block. The final result is a unique cat image.

AI image generation exploded onto the scene in 2022 with the launch of Midjourney and Stable Diffusion. Designed specifically for public use by non-programmers, they grabbed huge media attention, consumer praise – and millions of users. Since then, there’s been an explosion of rival AI image generator apps promising the ability to create almost anything through the power of words. But which ones are worth using? We put the best artificial intelligence image generators to the test to see which delivers the most photorealistic pictures, the most creative editing tools, and the best value for money. Elon Musk goes all-in on SMBs with new Grok Enterprise and Business offerings Grok Business is here to take on ChatGPT

Grok is now available in business-focused formats with extra security

$30 per month will get you Grok Business – the same price as ChatGPT Business

Third-party integration kicks off with direct links to Google Drive

Which chatbot to pick for your first AI experience a simple beginner’s guide to choosing an AI chatbot that suits your needs if you’re overwhelmed by AI chatter, you’re not alone. Right now, it feels like AI shows up in every tool, app, headline, and workplace conversation – whether your boss is keen on integrating it into everything or firmly against it. And alongside the hype, there are genuine concerns about its impact on jobs, the way we think, and whether we should be using it at work at all.

If you’re hesitant, you’re not alone. All of these concerns are real. But it’s still true that, used sensibly, AI chatbots can genuinely help people with planning, writing, organizing thoughts, summarizing information, and creating images.

Chatbots are essentially text-based conversation tools. You type, they reply. Like messaging someone who can draft an email, explain a concept, or help you think something through. But it’s not a friend or colleague, it’s an AI system that’s responding. This guide won’t turn you into a power user, drown you in jargon, or dig into every advanced thing AI chatbots can do. Instead, it’s a clear, beginner-friendly starting point. What you need to know, how today’s main AI chatbots differ, and which one is most likely to suit your first steps with AI. What beginners need to know basics will make it easier to pick the right tool and get better results once you start using it.

Chatbots: You’ll see terms like “AI assistants,” “models,” and “LLMs” (large language models). The important bit is that the chatbot is the interface you talk to, and the LLM is essentially the engine powering it behind the scenes.

Free vs. paid: Most AI chatbots offer a strong free tier. If you pay, the benefits you unlock will depend on the chatbot. But generally, you can expect faster responses, access to newer or more powerful models, better memory, and higher usage limits.

Hallucinations: This is an industry term used to describe the way some AI chatbots make things up. It happens because the models are often trained to come up with a response even when they don’t know something. Obviously, this isn’t ideal. It means you’ll need to double-check a lot of what AI chatbots tell you. Especially if you’re using them for research.

Memory: Some chatbots remember previous conversations or your preferences. This means less repeating yourself and a more personalized experience. If you plan to use AI regularly for things like writing, goal-setting, and planning, memory can make a huge difference.

Privacy: Don’t paste confidential business information, client data, or personal data into a chatbot. You should also read the tool’s privacy settings and your workplace rules. It’s also possible to go and turn off sharing settings in most chatbots. Sometimes your conversations are used to make the model smarter, but that does put your privacy at risk.

Prompts: A prompt is simply what you type into an AI chatbot. You can just chat normally, like you would to a friend. But clearer, more deliberate prompts will deliver better outputs. Especially if you’re using the chatbot for work. Want better answers from ChatGPT or Gemini? Here’s how to tweak your prompts the right way when you purchase through links on our site, we may earn an affiliate commission.

About TechRadar : The Technology Experts

Welcome to TechRadar. We are The Technology Experts – and we’re here to help you buy, use and enjoy the tech that you live with every day.

The world of technology has never been more exciting – and TechRadar helps up to 30 million people around the globe find and use the tech they love every month. Meet the TechRadar team dedicated to bringing you the latest and greatest from the world of technology TechRadar team is dedicated to bringing you news, features, how-tos and in-depth reviews of the latest and greatest technology. We love tech, and we’re unashamedly geeky about it. So we’ll tell you what we think in a fair, unbiased way.

Based throughout the world – with offices in the US, UK, Australia, Norway, the Netherlands, Germany, France, Spain, Italy and Mexico – the TechRadar team are constantly on the hunt for the hottest stories, leaks, rumors, announcements and launches. We are The Technology Experts – and we’re here to improve your tech life. We’ll tell you what the greatest gear is, where you can get the best deals and then the most fantastic things you can do with them. Why? Because this matters to us. We get up in the morning knowing that there are people out there worried about spending their hard-earned money on a piece of tech that’s central to their lives. Introducing Tech Radar’s new Ask An Expert service We’ll give you personalized advice about your tech purchases We’ve all been there. You buy a shiny new gadget after reading a review online and a few months later you realise it’s not quite right for your needs, so you have to do some more research in order to buy something better. Annoying, isn’t it? When TechRadar launched 15 years ago, it was with a mission to bring you the best technology product buying advice on the planet. We’ve been doing that through our in-depth reviews and roundups, and up-to-the-minute news about the latest tech developments that are heading to your devices.

That mission hasn’t changed, but now we’re going a step further. We’ve set ourselves the goal of ensuring that if you buy a product through TechRadar, you buy the right thing first time. We call it the Shop TechRadar, Shop Once promise. We’re aiming to deliver on that promise in three ways. First, we’re committed to ensuring that our reviews and product roundups are the most useful and comprehensive that you’ll find on the web. That means more testing and more comparisons with other products. 

Every review is written by one of our experts and then double-checked by someone else on the team before it’s allowed to go online. So we’re confident that every review we post gives you the right information to make an informed decision as to whether the product is right for you.

Second, we’ve introduced the TechRadar Ask An Expert service, where we’ll help you choose the right product for your needs. When you use the service, a member of the TechRadar team will review your requirements to help you choose the right product for your needs. The service is available to you on a personal level and it’s completely free of charge. How to use TechRadar’s Ask An Expert service

When you’re reading a review or a roundup of products on TechRadar, look for a link at the end of the article that says “Need help choosing? Click here to use TechRadar’s Ask An Expert service.” Simply tell us what you’re looking for and give us as much information as you can about your situation. We need all of the following in order to be able to help you:

1. The type of product you want to buy.

2. Your budget.

3. Any specific requirements – for instance, features it must have, or a size it must be (we don’t want to suggest a 65in TV for someone who only has space for a 32-inch set, for instance).

4. The most important quality aspects you want us to consider. For instance, if you are buying a TV, are you more concerned with image quality, design, sound or something else? With a phone, is battery life key – or do you need a fast processor? You can rank these aspects if you wish.

5. Your name.

6. Your location (the service is available in the US and UK).

7. Your timescale. We will endeavour to respond to queries within two weeks, but if you have a more urgent request, feel free to mention it and we will do our best.

8. Finally, whether you are happy for your request to form the basis of a future article on TechRadar helping others make a similar choice.

Please include all of the above information or we will not be able to help you.

Once we’ve looked over the email, it will be passed to an expert at TechRadar who will get back to you with suggestions of products that we believe will best fit your needs. We’ll also include links to corresponding reviews on TechRadar, where you will be able to read more and click to buy the items from the retailers that we partner with, if you wish.

Third, if you’ve previously bought something in a store or another website, and then realised that it was not right for your needs and sent it back, our Ask An Expert service can help there, too. Simply tell us what you bought, why it’s not right for you and what additional features or requirements you have and one of our tech experts will get back to you with suggestions for alternative products. We love technology here at TechRadar – it’s why we’re The Technology Experts. We want you to love it too, so take advantage of our Ask An Expert service and make sure you’re living your best tech life. Master the Black Friday deals – we’re here to help you spot a deal from a dud TechRadar’s mass of combined delas experience is here to help you through the sales when you purchase through links on our site, we may earn an affiliate commission. 

TechRadar turns 15 – these are the tech milestones that made us decade and a half of techmania week, TechRadar turns 15, a milestone we’re pretty jazzed to have hit. We launched in January 2008, having previously operated under the banner of tech.co.uk, which was one of the first consumer tech sites to brave the world of online publication in the UK. Now, we’re rapidly approaching the time when we’ll be starting to hire people who weren’t born when the website launched, which is fun – if not a little terrifying.

Naturally, we’ve seen a lot of change in that decade and a half. TechRadar-proper might have narrowly missed the iPhone at 15: looking back at the first Apple phone and how to rewatch the 2007 launch , but we’ve covered every iPhone launch since. We’ve scratched our chins at each year’s weirdest CES revelations, eye-rolled at the latest ‘innovations’ that never took off, and spread our wings to cover an increasingly wide range of gadgets and services.

The iPhone is a stellar debut for Apple in the mobile phone market

Pros

• +MultiTouch touchscreen controls
• +Intuitive interface
• +Dazzling screen

Cons

–Bluetooth works with phone headsets only

–No 3G

–Fixed focus camera

Can you recall your first encounter with a computer, and how empowered you felt? That feeling that one device could change your world. What the iPhone does right, it does outstandingly, so much so that it will lead you to overlook its considerable shortcomings.

The iPhone 14 is a capable smartphone with a seriously snappy CPU, lovely screen, and good cameras. It pales in comparison to the iPhone 14 Pro, but then you’re also saving $200 / £250 / AU$350. If you’re not looking for a big screen on a budget (for that, see the new iPhone 14 Plus), this solid, if unspectacular iPhone – with a couple of really cool next-gen features that you may never use – might be for you.

Pros

• +Familiar design and quality build
• +New heat dissipation interior
• +Better TrueDepth camera
• +Emergency satellite communications

Cons

–Mostly minor upgrade

–The notch remains

–Last generation A15 Bionic chip

The Apple iPhone 17 Pro Max is the best iPhone I’ve ever tested and I love it – even in Cosmic Orange when you purchase through links on our site, we may earn an affiliate commission. 

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