DoorDash has sent a proposal to buy the British meal delivery company Deliveroo for $3.6 billion. "The current offer marks the first formal approach since the last report in the summer," notes Reuters. From the report: The deal is expected to face no regulatory hurdles, as it provides DoorDash access to 10 new markets where it currently has no presence, creating a highly complementary footprint - other competitors might encounter more antitrust issues, the source said. Last year, Reuters reported DoorDash had shown interest in a takeover of Deliveroo, but a source said talks ended after disagreements on valuation.

A deal between the two firms would help DoorDash solidify its footprint in Europe, after the U.S. meal delivery group's 2021 purchase of Finland-based rival Wolt Enterprises in an all-stock deal valued at about $8 billion.

The Trump administration introduced a new framework to expedite self-driving vehicle deployment by reducing regulatory hurdles, while maintaining mandatory safety incident reporting. NHTSA is also expanding its exemption program, allowing domestically produced autonomous vehicles lacking traditional safety controls to operate on U.S. roads. Reuters reports: The Trump administration said Thursday it aims to speed up the deployment of self-driving vehicles but will maintain rules requiring reporting of safety incidents involving advanced vehicles. U.S. Transportation Secretary Sean Duffy on Thursday released a new framework to boost autonomous vehicles. "This administration understands that we're in a race with China to out-innovate, and the stakes couldn't be higher," Duffy said. "Our new framework will slash red tape."

The National Highway Traffic Safety Administration said it will expand a program to exempt some self-driving vehicles from all safety requirements and will streamline but continue its requirement that vehicles equipped with certain advanced driver assistance systems or self-driving systems report safety incidents. NHTSA is expanding its Automated Vehicle Exemption Program to now include domestically produced vehicles that will allow companies to operate non-compliant imported vehicles on U.S. roads. It is currently only open to foreign assembled models.

Researchers at the University of Tokyo have created what they believe is the largest single piece of lab-grown meat to date: a chicken nugget-sized chunk measuring 7 centimeters long, 4 centimeters wide, and 2.25 centimeters thick, weighing 11 grams. The breakthrough, reported today in Trends in Biotechnology, uses an artificial circulatory system to overcome a fundamental limitation in cultured meat production.

The team, led by biohybrid system engineer Shoji Takeuchi, grew cells around a network of semipermeable hollow fibers -- similar to those used in water filters and dialysis machines -- that deliver nutrients and oxygen throughout the tissue. Unlike most commercial approaches that produce tiny meat fragments later assembled with binders or scaffolds, this method creates a single coherent piece with more natural structure and texture.

This is the first working model using tubes to grow muscle tissue into a thick slab, according to Mark Post, chief science officer at Mosa Meat, who created the world's first lab-grown hamburger in 2013. Significant hurdles remain before commercialization. The hollow fibers aren't edible and must be manually removed. Researchers are exploring automating this process or creating edible alternatives using cellulose.

Formula One cars, the world's fastest racecars, need to grip the track for speed and safety on the curves — leading engineers to design cars that create downforce. And racing fans are even told that "a Formula 1 racecar generates enough downforce above a certain speed that it could theoretically drive upside down," writes the automotive site Jalopnik.

"McMurtry Automotive turned this theory into reality after having its Spéirling hypercar complete the impressive feat..." Admittedly, the Spéirling's success can be solely attributed to its proprietary 'Downforce-on-Demand' fan system that produces 4,400 pounds of downforce at the push of a button... For those looking to do the math, Spéirling weighs 2,200 pounds. With the stopped car's fan whirling at 23,000 rpm, the rig was rotated to invert the road deck... Then, the hypercar rolled forward a few feet before stopping while inverted. The rig rotated the road deck back down, and the Spéirling drove off like nothing happened.

The McMurtry Spéirling, as a 1,000-hp twin-motor electric hypercar, didn't have to clear the other hurdles that an F1 car would have clear to drive upside down. Dry-sump combustion engines aren't designed to run inverted and would eventually fail catastrophically. Oil wouldn't be able to cycle through and keep the engine lubricated.
The car is "an electric monster purpose-built to destroy track records," Jalopnik wrote in 2022 when the car shaved more than two seconds off a long-standing record. The "Downforce-on-Demand" feature gives it tremendous acceleration — in nine seconds it can go from 0 to 186.4 mph (300 km/h), according to Jalopnik.

"McMurtry is working towards finalizing a production version of its hypercar, called the Spéirling PURE. Only 100 will be produced."

Despite promises of more efficient streaming, the AV1 video codec hasn't achieved widespread adoption seven years after its 2018 debut, even with backing from tech giants Netflix, Microsoft, Google, Amazon, and Meta. The Alliance for Open Media (AOMedia) claims AV1 is 30% more efficient than standards like HEVC, delivering higher-quality video at lower bandwidth while remaining royalty-free.

Major services including YouTube, Netflix, and Amazon Prime Video have embraced the technology, with Netflix encoding approximately 95% of its content using AV1. However, adoption faces significant hurdles. Many streaming platforms including Max, Peacock, and Paramount Plus haven't implemented AV1, partly due to hardware limitations. Devices require specific decoders to properly support AV1, though recent products from Apple, Nvidia, AMD, and Intel have begun including them. "In order to get its best features, you have to accept a much higher encoding complexity," Larry Pearlstein, associate professor at the College of New Jersey, told The Verge. "But there is also higher decoding complexity, and that is on the consumer end."

The rumors were right: Google parent Alphabet has agreed to buy cyber security start-up Wiz for $32 billion, the biggest acquisition in the search group's history. From the report: Alphabet held talks over a $23 billion acquisition of Wiz last year, although the negotiations collapsed after some of the cyber security company's directors and investors became worried about antitrust hurdles.

The deal, which will rank as the biggest deal of the year so far, was announced on Tuesday morning. It will probably still face scrutiny from the Federal Trade Commission under President Donald Trump, whose new chair Andrew Ferguson has maintained guidelines giving the agency the ability to block large deals used by his predecessor Lina Khan.

An anonymous reader quotes a report from Broadband TV News: The National Association of Broadcasters (NAB) has filed a petition with the Federal Communications Commission (FCC) urging the agency to establish a clear, industry-wide transition plan for the full deployment of Next Gen TV (ATSC 3.0). The proposal outlines a two-phased transition while modernizing regulatory requirements to support consumer access and innovation. [...] Under the plan, stations in the top 55 markets, covering 70% of the US population, would transition by February 2028, with all remaining full-power and Class A stations following in or before February 2030. The petition also calls for updates to FCC rules to ensure television reception devices support Next Gen TV, maintain existing MVPD carriage obligations and eliminate regulatory hurdles that could slow adoption. To clarify, ATSC 1.0 is the current standard for free over-the-air (OTA) TV. While ATSC 3.0 (also called NextGen TV) is its intended replacement, it's not backward-compatible, meaning consumers need new equipment to receive it. NAB's petition is to allow a complete shutdown of ATSC 1.0 to accelerate the transition to ATSC 3.0, meaning older TV setups relying on free OTA signals would stop working unless consumers upgrade their equipment. Their argument is that ATSC 3.0 adoption has been slow, and networks would benefit more from shifting away from OTA broadcasting entirely.

Reddit user bshensky argues that shutting down OTA TV would benefit large media corporations and harm independent stations. It's also worth noting that OTA TV operates on valuable spectrum, which could be repurposed for mobile broadband (this has happened before), benefiting cellular providers.

Anduril will take over management and eventual manufacturing of the U.S. Army's Integrated Visual Augmentation System (IVAS) from Microsoft, a significant shift in one of the military's most ambitious augmented reality projects.

The deal, which requires Army approval, could be worth over $20 billion in the next decade if all options are exercised, according to Bloomberg. The IVAS system, based on Microsoft's HoloLens mixed reality platform, aims to equip soldiers with advanced capabilities including night vision and airborne threat detection.

Under the new arrangement, Microsoft will transition to providing cloud computing and AI infrastructure, while Anduril assumes control of hardware production and software development. The Army has planned orders for up to 121,000 units, though full production hinges on passing combat testing this year.

The program has faced technical hurdles, with early prototypes causing headaches and nausea among soldiers. The current slimmer version has received better feedback, though cost remains a concern - the Army indicated the $80,000 per-unit price needs to "be substantially less" to justify large-scale procurement.

Anduril founder Palmer Luckey, writing in a blog post: This move has been so many years in the making, over a decade of hacking and scheming and dreaming and building with exactly this specific outcome clearly visualized in my mind's eye. I can hardly believe I managed to pull it off. Everything I've done in my career -- building Oculus out of a camper trailer, shipping VR to millions of consumers, getting run out of Silicon Valley by backstabbing snakes, betting that Anduril could tear people out of the bigtech megacorp matrix and put them to work on our nation's most important problems -- has led to this moment. IVAS isn't just another product, it is a once-in-a-generation opportunity to redefine how technology supports those who serve. We have a shot to prove that this long-standing dream is no windmill, that this can expand far beyond one company or one headset and act as a a nexus for the best of the best to set a new standard for how a large collection of companies can work together to solve our nation's most important problems.

An anonymous reader quotes a report from The Guardian: Bolstered by Silicon Valley investment, scientists are making such rapid progress that lab-grown human eggs and sperm could be a reality within a decade, a meeting of the Human Fertilization and Embryology Authority board heard last week (PDF). In-vitro gametes (IVGs), eggs or sperm that are created in the lab from genetically reprogrammed skin or stem cells, are viewed as the holy grail of fertility research. The technology promises to remove age barriers to conception and could pave the way for same-sex couples to have biological children together. It also poses unprecedented medical and ethical risks, which the HFEA now believes need to be considered in a proposed overhaul of fertility laws.

Peter Thompson, chief executive of the HFEA, said: "In-vitro gametes have the potential to vastly increase the availability of human sperm and eggs for research and, if proved safe, effective, and publicly acceptable, to provide new fertility treatment options for men with low sperm counts and women with low ovarian reserve." The technology also heralds more radical possibilities including "solo parenting" and "multiplex parenting." Julia Chain, chair of HFEA, said: "It feels like we ought to have Steven Spielberg on this committee," in a brief moment of levity in the discussion of how technology should be regulated. Lab-grown eggs have already been used produce healthy babies in mice -- including ones with two biological fathers. The equivalent feat is yet to be achieved using human cells, but US startups such as Conception and Gameto claim to be closing in on this prize.

The HFEA meeting noted that estimated timeframes ranged from two to three years -- deemed to be optimistic -- to a decade, with several clinicians at the meeting sharing the view that IVGs appeared destined to become "a routine part of clinical practice." The clinical use of IVGs would be prohibited under current law and there would be significant hurdles to proving that IVGs are safe, given that any unintended genetic changes to the cells would be passed down to all future generations. The technology also opens up myriad ethical issues. Thompson said: "Research on IVGs is progressing quickly but it is not yet clear when they might be a viable option in treatment. IVGs raise important questions and that is why the HFEA has recommended that they should be subject to statutory regulation in time, and that biologically dangerous use of IVGs in treatment should never be permitted."

"This is the latest of a range of detailed recommendations on scientific developments that we are looking at to future-proof the HFE Act, but any decisions around UK modernizing fertility law are a matter for parliament."

An anonymous reader quotes a report from The Verge: TerraPower, a nuclear energy startup founded by Bill Gates, struck a deal this week with one of the largest data center developers in the US to deploy advanced nuclear reactors. TerraPower and Sabey Data Centers (SDC) are working together on a plan to run existing and future facilities on nuclear energy from small reactors. A memorandum of understanding signed by the two companies establishes a "strategic collaboration" that'll initially look into the potential for new nuclear power plants in Texas and the Rocky Mountain region that would power SDC's data centers. [...]

There's still a long road ahead before that can become a reality. The technology TerraPower and similar nuclear energy startups are developing still have to make it through regulatory hurdles and prove that they can be commercially viable. Compared to older, larger nuclear power plants, the next generation of reactors are supposed to be smaller and easier to site. Nuclear energy is seen as an alternative to fossil fuels that are causing climate change. But it still faces opposition from some advocates concerned about the impact of uranium mining and storing radioactive waste near communities. TerraPower's reactor design for this collaboration, Natrium, is the only advanced technology of its kind with a construction permit application for a commercial reactor pending with the U.S. Nuclear Regulatory Commission, according to the company. The company just broke ground on a demonstration project in Wyoming last year, and expects it to come online in 2030.

Paul Knopp, KPMG US CEO, writing in an op-ed on WSJ: According to a United Nations estimate, 230 languages went extinct between 1950 and 2010. If my profession doesn't act, the language of business -- accounting -- could vanish too. The number of students who took the exam to become certified public accountants in 2022 hit a 17-year low. From 2020 to 2022, bachelor's degrees in accounting dropped 7.8% after steady declines since 2018.

While the shortage isn't yet an issue for the country's largest firms, it's beginning to affect our economy and capital markets. In the first half of 2024, nearly 600 U.S.-listed companies reported material weaknesses related to personnel. S&P Global analysts last year warned that many municipalities were at risk of having their credit ratings downgraded or withdrawn due to delayed financial disclosures.

Our profession must remove hurdles to learning the accounting language while preserving quality. In October, KPMG became the first large accounting firm to advocate developing alternate paths to CPA licensing. We want pathways that emphasize experience, not academic credits, after college. Most people today must earn 30 credits after their bachelor's degrees -- the so-called 150-hour rule -- work under a licensed CPA for a year, and pass the CPA exam to become licensed.

Research by the Center for Audit Quality finds that the 150-hour rule is among the top reasons people don't pursue CPA licensure. A December 2023 study found that the requirement causes a 26% drop in interest among minorities. There is a consensus for change, but we can't waste time. Many state CPA societies are working on legislation to create an alternative path to licensure. State boards of accountancy should replace the extra academic requirement with more on-the-job experience. A person who is licensed in one state should be able to practice in another even if reforms create different licensing requirements.

Qualcomm's interest in acquiring Intel is cooling due to the complexity of the deal, Intel's debt, and regulatory hurdles. However, according to Bloomberg, Qualcomm may still explore acquiring certain divisions of Intel to expand into markets like PCs and networking. Tom's Hardware reports: [T]he proposed acquisition faced significant obstacles, including Intel's $50 billion debt, dropping CPU market share, and its struggling semiconductor manufacturing unit, an area where Qualcomm lacks expertise. A deal of this magnitude would also likely trigger extensive regulatory scrutiny, particularly in China, a key market for both companies.

Intel is undergoing significant restructuring under CEO Pat Gelsinger to reclaim its competitiveness in the semiconductor market in terms of products and process technologies. Still, for now, both Intel and Qualcomm are quite successful standalone companies. While the combination would make a formidable firm (probably facing unprecedented antitrust scrutiny), it does not make much sense for Qualcomm to make such a massive takeover. These factors have collectively made a complete takeover less appealing to Qualcomm. Meanwhile, selling off a part of the company to Qualcomm may not make sense for Intel.

Qualcomm aims to generate $22 billion in annual revenue by 2029 by expanding into markets like personal computers, networking, and automotive chips. Although Cristiano Amon, Qualcomm's chief executive, has stated that his company did not need a major takeover to achieve this goal, the company initiated preliminary discussions with Intel regarding a potential acquisition in September. Yet, it does not look like the deal is going to happen.

OpenAI's latest large language model, known internally as Orion, has fallen short of performance targets, marking a broader slowdown in AI advancement across the industry's leading companies, according to Bloomberg, corroborating similar media stories in recent days. The model, which completed initial training in September, showed particular weakness in novel coding tasks and failed to demonstrate the same magnitude of improvement over its predecessor as GPT-4 achieved over GPT-3.5, the publication reported Wednesday.

Google's upcoming Gemini software and Anthropic's Claude 3.5 Opus are facing similar challenges. Google's project is not meeting internal benchmarks, while Anthropic has delayed its model's release, Bloomberg said. Industry insiders cited by the publication pointed to growing scarcity of high-quality training data and mounting operational costs as key obstacles. OpenAI's Orion specifically struggled due to insufficient coding data for training, the report said. OpenAI has moved Orion into post-training refinement but is unlikely to release the system before early 2024. The report adds: [...] AI companies continue to pursue a more-is-better playbook. In their quest to build products that approach the level of human intelligence, tech firms are increasing the amount of computing power, data and time they use to train new models -- and driving up costs in the process. Amodei has said companies will spend $100 million to train a bleeding-edge model this year and that amount will hit $100 billion in the coming years.

As costs rise, so do the stakes and expectations for each new model under development. Noah Giansiracusa, an associate professor of mathematics at Bentley University in Waltham, Massachusetts, said AI models will keep improving, but the rate at which that will happen is questionable. "We got very excited for a brief period of very fast progress," he said. "That just wasn't sustainable." Further reading: OpenAI and Others Seek New Path To Smarter AI as Current Methods Hit Limitations.

Last December, Hyperloop One, the futuristic transportation company pursuing Elon Musk's dream of tube-based, airplane-speed travel, announced its shutdown. However, the concept itself has found a new lease on life in a scaled-down version overseas. According to The Verge's Andrew J. Hawkins, "The hyperloop, in fact, lives on -- as a 1/12th scale model in Switzerland." From the report: Sure, this isn't exactly the full realization of Musk's 2013 white paper, in which he theorized that aerodynamic aluminum capsules filled with passengers or cargo could be propelled through a nearly airless tube at speeds of up to 760mph. These tubes, either raised on pylons or sunk beneath the earth, could be built either within or between cities. Musk called it a "fifth mode of transportation" and argued it could help change the way we live, work, trade, and travel. The idea is being put to the test in Lausanne, Switzerland, where a 120-meter circular test track is being operated by a team that includes the Federal Institute of Technology Lausanne (EPFL), the School of Business and Engineering Vaud (HEIG-VD), and Swisspod Technologies. This week, the group announced that it had conducted "the longest" hyperloop test of its kind: traveling 11.8 km (7.3 miles) at a speed of 40.7km/h (25.3mph).

The circular test track has a circumference of 125.6 meters (412 feet) and a diameter of 40 centimeters (15.7 inches). It sounds modest, but the group claims that in a full-scale system, their test "directly translates" to a journey of 141.6 km (88 miles), which is about the distance between Geneva and Bern, or San Francisco to Sacramento, and speeds of up to 488.2 km/h (303.4mph). The project is called LIMITLESS, which stands for Linear Induction Motor Drive for Traction and Levitation in Sustainable Hyperloop Systems. During the test, the team "monitored the performance of vital subsystems," including propulsion, communication infrastructure, power electronics, and thermal management. They assessed "energy consumption, thrust variations, [linear induction motor] response, and control during acceleration, cruising, coasting, and braking scenarios."

Of course, a 1/12th-scale circular test track is hardly a sign that the hyperloop is alive and well. Most of the startups and companies pursuing a full-scale hyperloop have shut down, victims of financial mismanagement, as well as infrastructure and regulatory hurdles. Critics said that while the hyperloop may be technically feasible, it still only amounts to vaporware. It's been called a "utopian vision" that would be financially impossible to achieve. But the Swiss team is undeterred, promising to conduct a battery of future tests to further validate the system. Swisspod CEO Denis Tudor said the group plans to test its first freight product soon, and is currently building a larger test track in the US. "This is a key step toward making hyperloop for passengers a reality and changing how we connect, work, and live," he said.

Libreboot is a distribution of coreboot "aimed at replacing the proprietary BIOS firmware contained by most computers."

So then what exactly is GNU Boot? Its home page explains... In November 2022, Libreboot began to include non-libre code. We have made repeated efforts to continue collaboration with those developers to help their version of Libreboot remain libre, but that was not successful. Now we've stepped forward to stand up for freedom, ours and that of the wider community, by maintaining our own version — a genuinely libre Libreboot, that after some hurdles gave birth to this project: GNU Boot.
But today, Phoronix writes: While priding itself on being "100% free", last December [GNU Boot] had to drop some motherboard support and CPU code after discovering they were shipping some files that are non-free by their free software standards. Today they announced another mistake in having inadvertently been shipping additional non-free code.

GNU Boot discovered an issue with non-free code affecting not only them but also some of the Linux distributions that pride themselves on being fully free software / 100% open-source. This latest snafu they say is "more problematic" than their prior non-free code discover due to impacting the free software Linux distributions too. The issue at hand though comes down to test data contained within the archive and that containing non-free code in the form of microcode, BIOS bits, and Intel Management Engine firmware.
"We also contacted Replicant..." according to the announcement, "a free Android distro that also ships vboot source code." And in addition, "We had to re-release all the affected tarballs." (Which at this point is three release candidates...)

An anonymous reader quotes a report from Bloomberg: Blue Origin sustained failures in recent weeks of testing including a factory mishap that damaged a portion of a future New Glenn rocket, the long-awaited centerpiece of the Jeff Bezos-backed startup's push to take on SpaceX. The upper portion of one rocket crumpled into itself, in part due to worker error, while it was being moved to a storage hangar, according to people familiar with the situation.

In a separate incident, another upper rocket portion failed during stress testing and exploded, the people said. Repairs are underway, another person said, noting there were no injuries during either episode. The previously unreported incidents illustrate the hurdles Blue Origin is grappling with while ramping up production of New Glenn, which is four years overdue. At the same time, new Chief Executive Officer Dave Limp has hired a slate of executives to shake the company out of a years-long R&D slump.

Apple is advancing its plans for a foldable iPhone, with potential release as early as 2026, The Information reported Tuesday. The iPhone-maker has begun engaging with Asian suppliers for component production, the report added. The proposed device is said to feature a clamshell design, reminiscent of Samsung's Galaxy Z Flip series.

The company faces considerable technical hurdles, including display crease issues and achieving optimal device thickness. Despite these challenges, the assignment of an internal codename, V68, suggests the project has progressed beyond the conceptual stage, the report added.

An anonymous reader quotes a report from Reuters: Boeing-owned Wisk Aero expects its pilotless air-taxi to begin carrying passengers "later in the decade" as it works with the U.S. regulator to secure approvals, its CEO said on Monday, amid skepticism among industry analysts about certification timelines. Wisk is one of several electric vertical take-off and landing (eVTOL) aircraft makers that have emerged over the last few years with a promise to provide an environmentally-friendly mode of transport in congested cities. But the industry faces technological hurdles such as making batteries powerful enough for companies to make more trips on a single charge. They also need to convince regulators and the public that the aircraft are safe, a barrier that is higher when the aircraft is autonomous. Wisk is developing a four-seater autonomous aircraft that will have a range of 90 miles (145 km).

"We are right now testing and producing the elements of this aircraft that we will hope to fly around the end of this year," CEO Brian Yutko told reporters at the Farnborough Airshow. Wisk's strategy is a departure from other major air-taxi makers, which are developing models that will require a pilot to fly the aircraft. The company has said operators of its aircraft will save on pilot costs. But industry experts at Bain say a full autonomous passenger flight is not expected before the late 2030s and pilotless aircraft will face competition from autonomous vehicles on the road. "Maximizing passenger occupancy and avoiding return trips with empty aircraft will be crucial for operator profitability," said Mattia Celli, one of the authors of the Bain report.

An anonymous reader quotes a report from Reuters: Nearly a quarter of Japanese companies have adopted artificial intelligence (AI) in their businesses, while more than 40% have no plan to make use of the cutting-edge technology, a Reuters survey showed on Thursday. The survey, conducted for Reuters by Nikkei Research, pitched a range of questions to 506 companies over July 3-12 with roughly 250 firms responding, on condition of anonymity. About 24% of respondents said they have already introduced AI in their businesses and 35% are planning to do so, while the remaining 41% have no such plans, illustrating varying degrees of embracing the technological innovation in corporate Japan.

Asked for objectives when adopting AI in a question allowing multiple answers, 60% of respondents said they were trying to cope with a shortage of workers, while 53% aimed to cut labour costs and 36% cited acceleration in research and development. As for hurdles to introduction, a manager at a transportation company cited "anxiety among employees over possible headcount reduction." Other obstacles include a lack of technological expertise, substantial capital expenditure and concern about reliability, the survey showed.

Despite soaring investment in AI hardware, most companies are struggling to turn the technology into profitable ventures, Goldman Sachs' latest AI adoption tracker reveals. Equity markets project a $330 billion boost to annual revenues for AI enablers by 2025, up from $250 billion forecast just last quarter, yet only 5% of US firms currently use AI in their production processes.

The disconnect between sky-high investment and tepid adoption underscores the significant hurdles businesses face in implementing AI effectively. Industry surveys by Goldman indicate that while many small businesses are experimenting with the technology, most have yet to define clear use cases or establish comprehensive employee training programs. Data compatibility and privacy concerns remain substantial roadblocks, with many firms reporting their existing tech platforms are ill-equipped to support AI applications.

The lack of in-house expertise and resources further compounds these challenges, leaving many companies unable to bridge the gap between AI's theoretical potential and practical implementation. Even among those organizations actively deploying AI, only 35% have a clearly defined vision for creating business value from the technology. This strategic uncertainty is particularly acute in consumer and retail sectors, where just 30% of executives believe they have adequately prioritized generative AI. The barriers to profitable AI use are not limited to technical and strategic issues. Legal and compliance risks loom large, with 64% of businesses expressing concerns about cybersecurity risks and roughly half worried about misinformation and reputational damage stemming from AI use.

Despite these challenges, investment continues to pour into AI hardware, particularly in semiconductor and cloud computing sectors. Markets anticipate a 50% revenue growth for semiconductor companies by the end of 2025. However, this enthusiasm has yet to translate into widespread job displacement, with AI-related layoffs remaining muted and unemployment rates for AI-exposed jobs tracking closely with broader labor market trends.