Cloud communications software firm Bird, one of the Netherlands' most prominent tech startups, plans to move most of its operations out of Europe, its CEO said, citing restrictive regulations and difficulties hiring skilled technology workers. From a report: "We are mostly leaving Europe as it lacks the environment we need to innovate in an AI-first era of technology," CEO Robert Vis told Reuters on Monday. "We foresee that regulations in Europe will block true innovation in a global economy moving extremely fast to AI," he said in a text message response to Reuters queries. Bird's operations in future will be mostly split between New York, Singapore and Dubai, he said.

Microsoft has canceled some leases for US data center capacity, according to TD Cowen, raising broader concerns over whether it's securing more AI computing capacity than it needs in the long term. From a report: OpenAI's biggest backer has voided leases in the US totaling "a couple of hundred megawatts" of capacity -- the equivalent of roughly two data centers -- canceling agreements with at least a couple of private operators, the US brokerage wrote Friday, citing "channel checks" or inquiries with supply chain providers. TD Cowen said its checks also suggest Microsoft has pulled back on converting so-called statements of qualifications, agreements that usually lead to formal leases.

Microsoft in a statement on Monday reiterated its spending target for the fiscal year ending June, but declined to comment on TD Cowen's note. Exactly why Microsoft may be pulling some leases is unclear. TD Cowen posited in a second report on Monday that OpenAI is shifting workloads from Microsoft to Oracle as part of a relatively new partnership. The tech giant is also among the largest owners and operators of data centers in its own right and is spending billions of dollars on its own capacity. TD Cowen separately suggested that Microsoft may be reallocating some of that in-house investment to the US from abroad.

An anonymous reader shared this report from the Associated Press: A computerized system that calls balls and strikes is being tested during Major League Baseball spring training exhibition games starting Thursday after four years of experiments in the minor leagues. Baseball Commissioner Rob Manfred is an advocate of the Automated Ball-Strike System, which potentially as early as 2026 could be used to aid MLB home plate umpires, but not replace them...

Stadiums are outfitted with cameras that track each pitch and judge whether it crossed home plate within the strike zone. In early testing, umpires wore ear buds and would hear "ball" or "strike," then relay that to players and fans with traditional hand signals. The challenge system adds a wrinkle. During spring training, human umps will call every pitch, but each team will have the ability to challenge two calls per game, with no additions for extra innings. A team retains its challenge if successful, similar to the regulations for big league teams with video reviews, which were first used for home run calls in August 2008 and widely expanded to many calls for the 2014 season.

Only a batter, pitcher or catcher may challenge a call, signaling with the tap of a helmet or cap; and assistance from the dugout is not allowed. A challenge must be made within 2 seconds... MLB has installed the system in 13 spring training ballparks that are home to 19 teams.
After a full season of testing in the Triple-A minor league, roughly 51% of the challenges were successful. Interestingly, the system makes its call exactly halfway across home plate> , where human umpires consider the strike zone to cover the whole 17 inches from the front to the back of home plate.

New power plants burning natural gas are being built all across America, reports the Washington Post, calling it a gas boom "driven in large part by AI."

They blame tech companies like Microsoft and Meta — which "looked to gas amid a shortage of adequate new clean energy" — while noting that those companies "say they plan to offset their development of natural gas capacity with equal investments in clean energy like solar and wind." [E]ven coal is making a comeback. But the biggest push is for gas, with more than 220 plants in various stages of development nationwide. They are often pitched as a bridge until more clean power is available, sometimes with promises the plants will eventually be equipped with nascent technology that traps greenhouse gas emissions. But the timeline for installing such "carbon capture" is vague. "These companies are building these massive new gas plants that are going to be there for 30 to 50 years," said Bill Weihl, a former director of sustainability at Facebook and founder of the nonprofit ClimateVoice. "That's not a bridge. It is a giant bomb in our carbon budget...."

Public filings from some of the big tech companies driving this development show their greenhouse gas emissions are soaring... "The last few years have revealed that a global energy transition is more complex and less linear than anticipated," Microsoft's board wrote in urging rejection of a December shareholder resolution demanding the company confront the climate risks of AI. "While urgency builds for decarbonization, so does the demand for energy."

Shareholders rejected the resolution. Microsoft is battling with environmental groups over its plans to build a multibillion-dollar data center in Mount Pleasant, Wisconsin, powered with electricity from natural gas. Their petition warns Microsoft's project "will push our state's climate goals out of reach, locking us into 30 more years of fossil fuels." The company said in a statement that it remains committed to erasing its emissions by adding substantial clean power to regional power grids. "By the end of 2025 we expect to meet our goal of adding new sources of carbon-free electricity to the grid equal to 100 percent of the electricity used by our datacenters," the statement said.

Meta says it is doing the same in Louisiana [where it's building a new 4-million-square-foot data center] and is "committed to matching our electricity use with 100 percent clean and renewable energy."
The article includes two revealing quotes:

• "It is like everyone just gave up," said Aaron Zubaty, CEO of Eolian, a large clean energy developer that works with data centers.

• American Petroleum Institute President Mike Sommers (who represents the oil and gas industry in Washington), said "The words that have replaced 'energy transition' are 'AI' and 'data centers'. We're transitioning from the energy transition to the energy reality ... We're going to need a lot more oil and gas."

America's Labor Department includes the fact-finding Bureau of Labor Statistics — and they recently explained how AI impacts their projections for the next 10 years. Their conclusion, writes Investopedia, was that "tech workers might not have as much to worry about as one might think." Employment in the professional, scientific, and technical services sector is forecast to increase by 10.5% from 2023 to 2033, more than double the national average. According to the BLS, the impact AI will have on tech-sector employment is highly uncertain. For one, AI is adept at coding and related tasks. But at the same time, as digital systems become more advanced and essential to day-to-day life, more software developers, data managers, and the like are going to be needed to manage those systems. "Although it is always possible that AI-induced productivity improvements will outweigh continued labor demand, there is no clear evidence to support this conjecture," according to BLS researchers.
Their employment projections through 2033 predict the fastest-growing sector within the tech industry will be computer system design, while the fastest-growing occupation will be data scientist.

And they also project that from 2023 through 2033 AI will "primarily affect occupations whose core tasks can be most easily replicated by GenAI in its current form." So over those 10 years they project a 4.7% drop in employment of medical transcriptionists and a 5.0% drop in employment of customer service representatives. Other occupations also may see AI impacts, although not to the same extent. For instance, computer occupations may see productivity impacts from AI, but the need to implement and maintain AI infrastructure could in actuality boost demand for some occupations in this group.
They also project decreasing employment for paralegals, but with actual lawyers being "less affected."

An anonymous reader shared this report from the Washington Post's "Tech Brief": Last fall, reports that Kroger was considering bringing facial recognition technology into its stores sparked outcry from lawmakers and customers. They worried personalized data could be used to charge different prices for different customers based on their shopping habits, financial circumstances or appearance. Kroger, the country's largest supermarket chain, had already been using digital price tags in its stores.

Kroger told lawmakers that it doesn't use facial recognition to help it set prices, a stance the company reiterated to the Tech Brief on Thursday. Still, the uproar helped to spark a push by consumer advocates who warn that the threat of invasive, personalized pricing schemes is real. Now, Democratic lawmakers in several states are working to ban so-called "surveillance pricing" — when businesses charge customers more or less for the same item based on their personal information.
Besides a bill in California, three more bill were introduced this month in Colorado, Georgia, and Illinois that also ban "surveillance wages," which the article defines as employers adjusting wages based on how much data an employee collects. "Both surveillance pricing and surveillance wages really disrupt fundamental ideals of fairness," University of California, Irvine law professor Veena Dubal tells the Washington Post.

Dubal is one of the consumer advocates behind a new report which notes information released last month by America's consumer-protecting FTC that "suggests that surveillance pricing tools are being actively developed and marketed across a range of industries, including consumer-facing businesses like 'grocery stores, apparel retailers, health and beauty retailers, home goods and furnishing stores, convenience stores, building and hardware stores, and general merchandise retailers such as department or discount stores." The consumer advocates (which include the Electronic Privacy Information Center) put it this way.

"Imagine walking into a grocery store and seeing a price for milk that's higher than what the next shopper pays because an algorithm calculated that you're willing to spend more..."

The Washington Post looks at a new kind of battery that "could make American EVs cheaper and safer, experts say." If you bought an EV with a lithium iron phosphate (LFP) battery, you could expect lower car payments, less fire risk and more years of use out of your car — but you wouldn't be able to go as far on a single charge as you could with the nickel manganese cobalt (NMC) batteries commonly found in American and European electric cars. That trade-off has made LFP batteries the go-to choice for standard-range EVs in China, helping to make electric cars more affordable and limit pollution. Now, American companies are starting to build their own LFP batteries to catch up to their Chinese rivals... But there are plenty of barriers for U.S. companies that want to adopt a technology dominated by Chinese firms. Tariffs and tax credit restrictions have made it too expensive for most American automakers to import LFP batteries from China, and national security concerns have made it hard for American companies to partner with Chinese battery makers to build factories in the United States...

Although American scientists invented LFP batteries in 1997, U.S. automakers didn't invest in the technology. Instead, they bet on NMC batteries because they have longer range, a big concern for American EV buyers. "Everyone in the West thought LFP was a nonstarter five or six years ago," said Adrian Yao, who founded STEER, a technology research group within Stanford University. "We really did have a myopic focus on" range, he added. That left the door open for Chinese companies to perfect LFP batteries, which have a few advantages. Instead of pricey nickel and cobalt, they use iron, which makes them 20 percent cheaper than NMC batteries, according to the International Energy Agency. While NMC batteries can be recharged up to about 1,000 times before they go kaput — which is enough to put 200,000 miles on most EVs — LFP batteries can last two or three times as long, according to Moura. Plus, LFP batteries' chemistry makes them less likely to catch fire and easier to extinguish. An NMC battery, on the other hand, is so flammable that "you could put it underwater or in space, and it'll keep burning because the oxygen it needs to keep the flame going is embedded within itself," Moura said.

That safety advantage is key, because Chinese firms figured out they could pack LFP cells closer together inside a battery pack without risking a fire. That meant they could cram more energy into LFP batteries and nearly catch up to the range of NMC batteries. Last year, the Chinese battery giant CATL made the first LFP battery with more than 600 miles of range. Since LFP batteries are made from common materials and last longer, they also have a smaller environmental footprint than NMC batteries.
Ford used LFP batteries in its Mach-E sedan (2023) and F-150 Lightning pickup trucks (2024), according to the article, "while Rivian began using them in the basic trims of its R1S SUV and R1T pickup truck this year... American LFP factories are slated to open this year in St. Louis and next year in Arizona." And an environmental engineering professor at the University of California at Berkeley predicts LFP battery factories in the U.S. will "grow quite rapidly over the next five to 10 years."

This year's "State of Rust" survey was completed by 7,310 Rust developers. DevClass note some key findings: When asked about their biggest worries for Rust's future, 45.5 percent cited "not enough usage in the tech industry," up from 42.5 percent last year, just ahead of the 45.2 percent who cited complexity as a concern... Only 18.6 percent declared themselves "not worried," though this is a slight improvement on 17.8 percent in 2023...

Another question asks whether respondents are using Rust at work. 38.2 percent claimed to use it for most of their coding [up from 34% in 2023], and 13.4 percent a few times a week, accounting for just over half of responses. At the organization level there is a similar pattern. 45.5 percent of organizations represented by respondents make "non-trivial use of Rust," up from 38.7 percent last year.
More details from I Programmer: On the up are "Using Rust helps us achieve or goals", now 82% compared to 72% in 2022; "We're likely to use Rust again in the future", up 3% to 78%; and "Using Rust has been worth the cost of Adoption". Going down are "Adopting Rust has been challenging", now 34.5% compared to 38.5% in 2022; and "Overall adopting Rust has slowed down our team" down by over 2% to 7%.
"According to the survey, organizations primarily choose Rust for building correct and bug-free software (87.1%), performance characteristics (84.5%), security and safety properties (74.8%), and development enjoyment (71.2%)," writes The New Stack: Rust seems to be especially popular for creating server backends (53.4%), web and networking services, cloud technologies and WebAssembly, the report said. It also seems to be gaining more traction for embedded use cases... Regarding the preferred development environment, Linux remains the dominant development platform (73.7%).

However, although VS Code remains the leading editor, its usage dropped five percentage points, from 61.7% to 56.7%, but the Zed editor gained notable traction, from 0.7% to 8.9%. Also, "nine out of 10 Rust developers use the current stable version, suggesting strong confidence in the language's stability," the report said...

Overall, 82% of respondents report that Rust helped their company achieve its goals, and daily Rust usage increased to 53% (up four percentage points from 2023). When asked why they use Rust at work, 47% of respondents cited a need for precise control over their software, which is up from 37% when the question was asked two years ago.

Microsoft's announcement of a breakthrough in quantum computing faces skepticism from physicists, who say evidence supporting the company's claims remains insufficient.

The tech giant reported creating Majorana particles - a development it says could revolutionize quantum computing - but the accompanying peer-reviewed paper in Nature does not conclusively demonstrate this achievement, according to multiple quantum physics experts who reviewed the research.

Microsoft's corporate vice president for quantum hardware, Chetan Nayak, acknowledged the Nature paper wasn't meant to prove the particles' existence, though he claimed measurements suggested "95% likelihood" of topological activity. The company plans to publish additional findings.

The announcement has drawn particular scrutiny given the field's history of retracted claims. Two previous Nature papers on similar discoveries were withdrawn in 2017 and 2018, while a 2020 paper in Science involving Microsoft researchers remains under review. "This is where you cross over from the realm of science to advertising," said Jay Sau, a theoretical physicist at the University of Maryland who sometimes consults for Microsoft but wasn't involved in the current research.

AI coding assistants are reshaping software development, but they're unlikely to replace human programmers entirely, according to industry experts and developers. GitHub CEO Thomas Dohmke projects AI could soon generate 80-90% of corporate code, transforming developers into "conductors of an AI-empowered orchestra" who guide and direct these systems.

Current AI coding tools, including Microsoft's GitHub Copilot, are delivering 10-30% productivity gains in business environments. At KPMG, developers report saving 4.5 hours weekly using Copilot, while venture investment in AI coding assistants tripled to $1.6 billion in 2024. The tools are particularly effective at automating routine tasks like documentation generation and legacy code translation, according to KPMG AI expert Swami Chandrasekaran.

They're also accelerating onboarding for new team members. Demand for junior developers remains soft, however, though analysts say it's premature to attribute this directly to AI adoption. Training programs like Per Scholas are already adapting, incorporating AI fundamentals alongside traditional programming basics to prepare developers for an increasingly AI-augmented workplace.

Software engineering job listings have plummeted to a five-year low, with postings on Indeed dropping to 65% of January 2020 levels -- a steeper decline than any other tech-adjacent field. According to data from Indeed's job aggregator, software development positions are now at 3.5x fewer vacancies compared to their mid-2022 peak and 8% lower than a year ago.

The decline appears driven by multiple factors including widespread adoption of AI coding tools -- with 75% of engineers reporting use of AI assistance -- and a broader tech industry recalibration after aggressive pandemic-era hiring. Notable tech companies like Salesforce are maintaining flat engineering headcount while reporting 30% productivity gains from AI tools, according to an analysis by software engineer Gergely Orosz.

While the overall job market shows 10% growth since 2020, software development joins other tech-focused sectors in decline: marketing (-19%), hospitality (-18%), and banking/finance (-7%). Traditional sectors like construction (+25%), accounting (+24%), and electrical engineering (+20%) have grown significantly in the same period, he wrote. The trend extends beyond U.S. borders, with Canada showing nearly identical patterns. European markets and Australia demonstrate more resilience, though still below peak levels.

An anonymous reader quotes a report from Ars Technica: Just because Meta admitted to torrenting a dataset of pirated books for AI training purposes, that doesn't necessarily mean that Meta seeded the file after downloading it, the social media company claimed in a court filing (PDF) this week. Evidence instead shows that Meta "took precautions not to 'seed' any downloaded files," Meta's filing said. Seeding refers to sharing a torrented file after the download completes, and because there's allegedly no proof of such "seeding," Meta insisted that authors cannot prove Meta shared the pirated books with anyone during the torrenting process.

[...] Meta ... is hoping to convince the court that torrenting is not in and of itself illegal, but is, rather, a "widely-used protocol to download large files." According to Meta, the decision to download the pirated books dataset from pirate libraries like LibGen and Z-Library was simply a move to access "data from a 'well-known online repository' that was publicly available via torrents." To defend its torrenting, Meta has basically scrubbed the word "pirate" from the characterization of its activity. The company alleges that authors can't claim that Meta gained unauthorized access to their data under CDAFA. Instead, all they can claim is that "Meta allegedly accessed and downloaded datasets that Plaintiffs did not create, containing the text of published books that anyone can read in a public library, from public websites Plaintiffs do not operate or own."

While Meta may claim there's no evidence of seeding, there is some testimony that might be compelling to the court. Previously, a Meta executive in charge of project management, Michael Clark, had testified (PDF) that Meta allegedly modified torrenting settings "so that the smallest amount of seeding possible could occur," which seems to support authors' claims that some seeding occurred. And an internal message (PDF) from Meta researcher Frank Zhang appeared to show that Meta allegedly tried to conceal the seeding by not using Facebook servers while downloading the dataset to "avoid" the "risk" of anyone "tracing back the seeder/downloader" from Facebook servers. Once this information came to light, authors asked the court for a chance to depose Meta executives again, alleging that new facts "contradict prior deposition testimony." "Meta has been 'silent so far on claims about sharing data while 'leeching' (downloading) but told the court it plans to fight the seeding claims at summary judgement," notes Ars.

The U.S. Federal Trade Commission has launched an inquiry into potential "censorship" by technology platforms ranging from Meta to Uber, marking an escalation in scrutiny of content moderation practices. FTC Chair Andrew Ferguson called for public comment on what he termed "Big Tech censorship," describing it as "un-American" and "potentially illegal."

The broad probe could examine social media, video sharing, ride-sharing and event planning services. The announcement follows long-standing Republican claims that conservative viewpoints face discrimination on social media platforms.

Palantir CEO Alex Karp warns of "coming swarms of autonomous robots" and urges Silicon Valley to support U.S. defense capabilities. In his book, "The Technological Republic: Hard Power, Soft Belief, and the Future of the West," Karp argues that America risks losing its military edge to geopolitical rivals who better harness commercial technology.

He calls for the "engineering elite of Silicon Valley" to work with the government on national defense. The message comes as Palantir's stock has surged more than 1,800% since early 2023, pushing its market value above $292 billion -- exceeding traditional defense contractors Lockheed Martin and RTX combined. The company has expanded its military AI work since 2018, when it took over a Pentagon contract after Google employees protested their company's defense work.

"[O]ur intrepid China reporter, Caiwei Chen, has identified a new trend unfolding within China's tech scene: Companies that were dominant in electric vehicles are betting big on translating that success into developing humanoid robots," writes MIT Technology Review's James O'Donnell. "I spoke with her about what she found out and what it might mean for Trump's policies and the rest of the globe..." An anonymous reader quotes an excerpt from the report: Your story looks at electric-vehicle makers in China that are starting to work on humanoid robots, but I want to ask about a crazy stat. In China, 53% of vehicles sold are either electric or hybrid, compared with 8% in the US. What explains that?

Price is a huge factor -- there are countless EV brands competing at different price points, making them both affordable and high-quality. Government incentives also play a big role. In Beijing, for example, trading in an old car for an EV gets you 10,000 RMB (about $1,500), and that subsidy was recently doubled. Plus, finding public charging and battery-swapping infrastructure is much less of a hassle than in the US.

You open your story noting that China's recent New Year Gala, watched by billions of people, featured a cast of humanoid robots, dancing and twirling handkerchiefs. We've covered how sometimes humanoid videos can be misleading. What did you think?

I would say I was relatively impressed -- the robots showed good agility and synchronization with the music, though their movements were simpler than human dancers'. The one trick that is supposed to impress the most is the part where they twirl the handkerchief with one finger, toss it into the air, and then catch it perfectly. This is the signature of the Yangko dance, and having performed it once as a child, I can attest to how difficult the trick is even for a human! There was some skepticism on the Chinese internet about how this was achieved and whether they used additional reinforcement like a magnet or a string to secure the handkerchief, and after watching the clip too many times, I tend to agree.

President Trump has already imposed tariffs on China and is planning even more. What could the implications be for China's humanoid sector?

Unitree's H1 and G1 models are already available for purchase and were showcased at CES this year. Large-scale US deployment isn't happening yet, but China's lower production costs make these robots highly competitive. Given that 65% of the humanoid supply chain is in China, I wouldn't be surprised if robotics becomes the next target in the US-China tech war.

In the US, humanoid robots are getting lots of investment, but there are plenty of skeptics who say they're too clunky, finicky, and expensive to serve much use in factory settings. Are attitudes different in China?

Skepticism exists in China too, but I think there's more confidence in deployment, especially in factories. With an aging population and a labor shortage on the horizon, there's also growing interest in medical and caregiving applications for humanoid robots.

DeepSeek revived the conversation about chips and the way the US seeks to control where the best chips end up. How do the chip wars affect humanoid-robot development in China?

Training humanoid robots currently doesn't demand as much computing power as training large language models, since there isn't enough physical movement data to feed into models at scale. But as robots improve, they'll need high-performance chips, and US sanctions will be a limiting factor. Chinese chipmakers are trying to catch up, but it's a challenge.

Google has built an AI laboratory assistant to help scientists accelerate biomedical research [non-paywalled source], as companies race to create specialised applications from the cutting-edge technology. From a report: The US tech group's so-called co-scientist tool helps researchers identify gaps in their knowledge and propose new ideas that could speed up scientific discovery. "What we're trying to do with our project is see whether technology like the AI co-scientist can give these researchers superpowers," said Alan Karthikesalingam, a senior staff clinician scientist at Google.

[...] Early tests of Google's new tool with experts from Stanford University, Imperial College London and Houston Methodist hospital found it was able to generate scientific hypotheses that showed promising results. The tool was able to reach the same conclusions -- for a novel gene transfer mechanism that helps scientists understand the spread of antimicrobial resistance -- as a new breakthrough from researchers at Imperial. Imperial's results were not in the public domain as they were being peer-reviewed in a top scientific journal. This showed that Google's co-scientist tool was able to reach the same hypothesis using AI reasoning in a matter of just days, compared with the years the university team spent researching the problem.

Nvidia has confirmed on its forums that the RTX 50 series GPUs no longer support 32-bit PhysX. Tom's Hardware reports: As far as we know, there are no 64-bit games with integrated PhysX technology, thus terminating the tech entirely on RTX 50 series GPUs and newer. RTX 40 series and older will still be able to run 32-bit CUDA applications and thus PhysX, but regardless, the technology is now officially retired, starting with Blackwell. [...]

The only way now to run PhysX on RTX 50 series GPUs (or newer) is to install a secondary RTX 40 series or older graphics card and slave it to PhysX duty in the Nvidia control panel. As far as we are aware, Nvidia has not disabled this sort of functionality. But the writing is on the wall for PhysX, and we doubt there will be any future games that attempt to use the API.

An anonymous reader quotes a report from Bloomberg: HP will acquire assets from Humane, the maker of a wearable Ai Pin introduced in late 2023, for $116 million. The deal will include the majority of Humane's employees in addition to its software platform and intellectual property, the company said Tuesday. It will not include Humane's Ai pin device business, which will be wound down, an HP spokesperson said. Humane's team, including founders Imran Chaudhri and Bethany Bongiorno, will form a new division at HP to help integrate artificial intelligence into the company's personal computers, printers and connected conference rooms, said Tuan Tran, who leads HP's AI initiatives. Chaudhri and Bongiorno were design and software engineers at Apple before founding the startup. [...]

Tran said he was particularly impressed with aspects of Humane's design, such as the ability to orchestrate AI models running both on-device and in the cloud. The deal is expected to close at the end of the month, HP said. "There will be a time and place for pure AI devices," Tran said. "But there is going to be AI in all our devices -- that's how we can help our business customers be more productive."

An anonymous reader shares a report: U.S. personal injury law firm Morgan & Morgan sent an urgent email this month to its more than 1,000 lawyers: Artificial intelligence can invent fake case law, and using made-up information in a court filing could get you fired. A federal judge in Wyoming had just threatened to sanction two lawyers at the firm who included fictitious case citations in a lawsuit against Walmart. One of the lawyers admitted in court filings last week that he used an AI program that "hallucinated" the cases and apologized for what he called an inadvertent mistake.

AI's penchant for generating legal fiction in case filings has led courts around the country to question or discipline lawyers in at least seven cases over the last two years, and created a new high-tech headache for litigants and judges, Reuters found. The Walmart case stands out because it involves a well-known law firm and a big corporate defendant. But examples like it have cropped up in all kinds of lawsuits since chatbots like ChatGPT ushered in the AI era, highlighting a new litigation risk.

A new report released by Cisco finds that 97% of CEOs surveyed are planning AI integration. Similarly, 92% of companies recently surveyed by McKinsey plan to invest more in generative AI over the next three years. Fortune: To that end, many companies are seeking tech-savvy finance talent, according to a new report by software company Datarails. The researchers analyzed 6,000 job listings within the CFO's office -- CFO, controller, financial planning and analysis (FP&A), and accountant -- advertised on job search websites including LinkedIn, Glassdoor, Indeed, Job2Careers, and ZipRecruiter.

Of the 1,000 job listings for CFOs in January 2025, 27% included AI in the job description. This compares to 8% mentions of AI in 1,000 CFO job listings at the same time last year. Take, for example, Peaks Healthcare Consulting which required a CFO candidate to "continuously learn and integrate AI to improve financial processes and decision making," Datarails notes in the report. Regarding FP&A professionals, in January 2025, 35% of analyst roles mentioned AI competency as a requirement, compared to 14% in January 2024, according to the report.