New York state has required companies to disclose if "technological innovation or automation" was the cause of job loss for nearly a year. Over 160 companies in New York state have filed notices of mass layoffs since last March. None--in a group that includes Amazon, Goldman Sachs, and other employers that are adopting AI tools --attributed their workforce cuts in those filings to "technological innovation or automation." That option was added 11 months ago to a required question on paperwork that businesses with 50 or more employees must file with the state to notify of sizable job losses. New York's Department of Labor told WIRED that, as of the end of January, no employer had marked tech as the reason for their workforce reduction.

British businesses reported an average 11.5% increase in productivity thanks to AI, the study found. British businesses reported an average 11.5% increase in productivity thanks to AI, the study found. The UK is losing more jobs than it is creating because of artificial intelligence and is being hit harder than rival large economies, new research suggests. British companies reported that AI had resulted in net job losses over the past 12 months, down 8% - the highest rate among other leading economies including the US, Japan, Germany and Australia, according to a study by the investment bank Morgan Stanley. The research, which was shared with Bloomberg, surveyed companies using AI for at least a year across five industries: consumer staples and retail, real estate, transport, healthcare equipment and cars.

Several new sites such as this are in the pipeline in the UK. Several new sites such as this are in the pipeline in the UK. 'A lot of this is speculative': faith and fear mix amid $3tn global datacentre boom The global investment spree in artificial intelligence is producing some remarkable numbers and a projected $3tn (£2.3tn) spend on datacentres is one of them. These vast warehouses are the central nervous system of AI tools such as OpenAI's ChatGPT and Google's Veo 3, underpinning the training and operation of a technology into which investors have poured vast sums of money. Despite concerns that the AI boom could be a bubble waiting to burst, there are few signs of it at the moment.

Booth is a reporter at TIME. Booth is a reporter at TIME. Julian Pintat, a freelance English-to-German translator has watched his 15-year career gradually unravel. Specializing in high-stakes fields like medical technology and pharmaceutics, his expertise has been repriced as an AI cleanup service. Fixing such basic flaws, which now constitutes 95% of his work, often takes longer than translating from scratch, he says--a frustrating reality that has halved his income and put life plans including marriage and starting a family on indefinite hold.

You'd have to be pretty brave to bet against the idea that applying more computing power and data to machine learning--a recipe that birthed ChatGPT--won't lead to further advances of some kind in artificial intelligence. Even so, you'd be braver still to bet that combo will produce specific advances or breakthroughs on a specific timeline, no matter how desirable. A report issued last weekend by the investment bank Morgan Stanley predicts that a supercomputer called Dojo, which Tesla is building to boost its work on autonomous driving, could add $500 billion to the company's value by providing a huge advantage in carmaking, robotaxis, and selling software to other businesses. The report juiced Tesla's stock price, adding more than 6 percent, or $70 billion--roughly the value of BMW and much less than Elon Musk paid for Twitter--to the EV-maker's market cap as of September 13. The 66-page Morgan Stanley report is an interesting read.

Wealthy clients going to a Morgan Stanley financial adviser to discuss their investments may have a different sort of experience in the future: having a chatbot listen to their conversation. After testing it with 1,000 financial advisers for some months, the bank will roll out a generative artificial intelligence bot this month, developed with the makers of ChatGPT, OpenAI. Bankers can use the virtual assistant to quickly find research or forms instead of sifting through hundreds of thousands of documents. The bank is also developing technology which eventually, with clients' permission, could create a meeting summary of the conversation, draft a follow-up email suggesting next steps, update the bank's sales database, schedule a follow-up appointment, and learn how to help advisers manage clients' finances on areas such as taxes, retirement savings and inheritances. The details of the program have not yet been reported.

Technologies such as autonomous driving, nanotech screens and augmented reality are poised to reshape the cars we drive, experts have told DailyMail.com. They predict we won't approach cars armed with keys and rely on the satnav -- cars will come to us, plugged into our daily routines and ready to entertain us. Humanoid AI avatars will know what we want in advance and steer us to our destinations in cars powered by electricity or hydrogen. Technologies such as'full' autonomous driving -- a car that is aware and capable of making its own choices --and flying vehicles will reshape the cities around us. The car of the future will be electric, autonomous and powered by AI, explains Przemysław Krokosz, edge and embedded technology expert at global software solutions provider Mobica.

Investing has long been a complex and often overwhelming process, requiring extensive research, analysis, and decision-making. However, with the rise of artificial intelligence (AI), there has been growing interest in using AI algorithms to manage investments. Can AI be the investment manager of the future? Let's explore the research and real-time experiments to find out. According to a study published in the Journal of Banking and Finance in 2020, robo-advisors, or AI-powered investment management services, can provide cost-effective and personalized investment advice to clients, particularly for those with limited investment knowledge or smaller portfolios.

Many are looking to leverage technology to help navigate future interruptions, with artificial intelligence leading the charge. Everstream Analytics, a startup that helps logistics companies avoid risk by using AI, recently secured $24 million in funding from Morgan Stanley. The increased funding comes on the heels of an already successful year, with the company increasing its customer base 550% over the past five months. Its customers include Google, Schneider Electric and Unilever. "The past two years have shone a light on the criticality of supply chain resilience," said Everstream CEO Juile Gerdeman.

Understanding the application of AI to business requires an understanding of context -- strategy, customers, company culture, and so forth. One application worthy of study across organizations is wealth management. A number of banks and investment firms are trying to use AI to improve that management -- either to eliminate human wealth advisers altogether or, much more commonly, to augment their efforts. Our survey research suggests that while many organizations have challenges with production deployments of AI, wealth management is a clear exception. We've studied wealth management strategies using AI and interviewed the analytics and AI officers who support them at several different companies.