A PwC survey of more than 4,500 CEOs found that over half report no revenue growth or cost savings from their AI investments so far, despite massive spending. Of the 4,454 business leaders surveyed, only 12% saw both lower costs and higher revenue, while 56% saw neither benefit. "26% saw reduced costs, but nearly as many experienced cost increases," adds The Register. From the report: AI adoption remains limited. Even in top use cases like demand generation (22 percent), support services (20 percent), and product development (19 percent), only a minority are deploying AI extensively. Last year, a separate PwC study found that only 14 percent of workers indicated they were using generative AI daily in their work. Despite the CEOs' repsonses, PwC concludes more investment is required. It claims that "isolated, tactical AI projects" often don't deliver measurable value, and that tangible returns instead come from enterprise-wide deployments consistent with business strategy. [...]

In terms of the broader picture, PwC says it found CEO confidence has hit a five-year low, with only 30 percent optimistic about revenue growth (down from 38 percent last year). This points to growing geopolitical risk and intensifying cyber threats, as well as uncertainty over the benefits and downsides of AI. Unsurprisingly, concern remains over tariffs as the Trump administration continues its erratic approach to policy, with almost a third of company chiefs saying tariffs are expected to reduce their company's profit margin in the year ahead. In the U.S., 22 percent indicate their corporation is highly or extremely exposed to tariffs. PwC warns that companies avoiding major investments due to geopolitical uncertainty underperform peers by two percentage points in growth and three points in profit margins.

More than half of companies haven't seen any financial benefit from their AI investments, according to PwC's latest Global CEO Survey [PDF], and yet the spending shows no signs of slowing down. Some 56% of the 4,454 chief executives surveyed across 95 countries said their companies have realized neither higher revenues nor lower costs from AI over the past year.

Only 12% reported getting both benefits -- and those rare winners tend to be the ones who built proper enterprise-wide foundations rather than chasing one-off projects. CEO confidence in near-term growth has taken a notable hit. Just 30% feel strongly optimistic about revenue growth over the next 12 months, down from 38% last year and nowhere near the 56% who felt that way in 2022.

An anonymous reader shares a report: Anthropic Chief Executive Dario Amodei predicted a future in which AI will spur significant economic growth -- but could lead to widespread unemployment and inequality. Amodei is both "excited and worried" about the impact of AI, he said in an interview at Davos Tuesday. "I don't think there's an awareness at all of what is coming here and the magnitude of it."

Anthropic is the developer of the popular chatbot Claude. Amodei said the government will need to play a role in navigating the massive displacement in jobs that could result from advances in AI. He said there could be a future with 5% to 10% GDP growth and 10% unemployment. "That's not a combination we've almost ever seen before," he said. "There's gonna need to be some role for government in the displacement that's this macroeconomically large."

Amodei painted a potential "nightmare" scenario that AI could bring to society if not properly checked, laying out a future in which 10 million people -- 7 million in Silicon Valley and the rest scattered elsewhere -- could "decouple" from the rest of society, enjoying as much as 50% GPD growth while others were left behind. "I think this is probably a time to worry less about disincentivizing growth and worry more about making sure that everyone gets a part of that growth," Amodei said. He noted that was "the opposite of the prevailing sentiment now," but the reality of technological change will force those ideas to change.

Signal Foundation president Meredith Whittaker warned that AI agents that autonomously carry out tasks pose a threat to encrypted messaging apps [non-paywalled source] because they require broad access to data stored across a device and can be hijacked if given root permissions.

Speaking at Davos on Tuesday, Whittaker said the deeper integration of AI agents into devices is "pretty perilous" for services like Signal. For an AI agent to act effectively on behalf of a user, it would need unilateral access to apps storing sensitive information such as credit card data and contacts, Whittaker said. The data that the agent stores in its context window is at greater risk of being compromised.

Whittaker called this "breaking the blood-brain barrier between the application and the operating system." "Our encryption no longer matters if all you have to do is hijack this context window," she said.

AI will displace so many jobs that it will eliminate the need for mass immigration, according to Palantir CEO Alex Karp. Bloomberg: "There will be more than enough jobs for the citizens of your nation, especially those with vocational training," said Karp, speaking at a World Economic Forum panel in Davos, Switzerland on Tuesday. "I do think these trends really do make it hard to imagine why we should have large-scale immigration unless you have a very specialized skill."

Karp, who holds a PhD in philosophy, used himself as an example of the type of "elite" white-collar worker most at risk of disruption. Vocational workers will be more valuable "if not irreplaceable," he said, criticizing the idea that higher education is the ultimate benchmark of a person's talents and employability.

An anonymous reader shares a report: Europe must invest in its own open source artificial intelligence labs and address soaring energy prices, or it will quickly find itself dependent on Chinese models, former Google chief executive and tech investor Eric Schmidt said.

"In the US, the companies are largely moving to closed source, which means they'll be purchased and licensed and so forth. And it is also the case that China is largely open weight, open source in its approach," Schmidt said at the World Economic Forum in Davos, Switzerland, on Tuesday. "Unless Europe is willing to spend lots of money for European models, Europe will end up using the Chinese models. It's probably not a good outcome for Europe."

An anonymous reader shares a report: Ukraine will establish a system allowing its allies to train their AI models on Kyiv's valuable combat data collected throughout the nearly four-year war with Russia, newly appointed Defence Minister Mykhailo Fedorov has said. Fedorov -- a former digitalisation minister who last week took up the post to drive reforms across Ukraine's vast defence ministry and armed forces -- has described Kyiv's wartime data trove as one of its "cards" in negotiations with other nations.

Since Russia's invasion in February 2022, Ukraine has gathered extensive battlefield information, including systematically logged combat statistics and millions of hours of drone footage captured from above. Such data is important for training AI models, which require large volumes of real-world information to identify patterns and predict how people or objects might act in various situations.

Energy costs will be key to deciding which country wins the AI race, Microsoft CEO Satya Nadella has said. CNBC: As countries race to build AI infrastructure to capitalize on the technology's promise of huge efficiency gains, Nadella told the World Economic Forum (WEF) on Tuesday that "GDP growth in any place will be directly correlated" to the cost of energy in using AI.

He pointed to a new global commodity in "tokens" -- basic units of processing that are bought by users of AI models, allowing them to run tasks. "The job of every economy and every firm in the economy is to translate these tokens into economic growth, then if you have a cheaper commodity, it's better."

"I would say we will quickly lose even the social permission to actually take something like energy, which is a scarce resource, and use it to generate these tokens, if these tokens are not improving health outcomes, education outcomes, public sector efficiency, private sector competitiveness across all sectors," Nadella said.

In an opinion piece for The Register, Steven J. Vaughan-Nichols argues that while "vibe coding" can be fun and occasionally useful for small, throwaway projects, it produces brittle, low-quality code that doesn't scale and ultimately burdens real developers with cleanup and maintenance. An anonymous reader shares an excerpt: Vibe coding got a big boost when everyone's favorite open source programmer, Linux's Linus Torvalds, said he'd been using Google's Antigravity LLM on his toy program AudioNoise, which he uses to create "random digital audio effects" using his "random guitar pedal board design." This is not exactly Linux or even Git, his other famous project, in terms of the level of work. Still, many people reacted to Torvalds' vibe coding as "wow!" It's certainly noteworthy, but has the case for vibe coding really changed?

[...] It's fun, and for small projects, it's productive. However, today's programs are complex and call upon numerous frameworks and resources. Even if your vibe code works, how do you maintain it? Do you know what's going on inside the code? Chances are you don't. Besides, the LLM you used two weeks ago has been replaced with a new version. The exact same prompts that worked then yield different results today. Come to think of it, it's an LLM. The same prompts and the same LLM will give you different results every time you run it. This is asking for disaster.

Just ask Jason Lemkin. He was the guy who used the vibe coding platform Replit, which went "rogue during a code freeze, shut down, and deleted our entire database." Whoops! Yes, Replit and other dedicated vibe programming AIs, such as Cursor and Windsurf, are improving. I'm not at all sure, though, that they've been able to help with those fundamental problems of being fragile and still cannot scale successfully to the demands of production software. It's much worse than that. Just because a program runs doesn't mean it's good. As Ruth Suehle, President of the Apache Software Foundation, commented recently on LinkedIn, naive vibe coders "only know whether the output works or doesn't and don't have the skills to evaluate it past that. The potential results are horrifying."

Why? In another LinkedIn post, Craig McLuckie, co-founder and CEO of Stacklok, wrote: "Today, when we file something as 'good first issue' and in less than 24 hours get absolutely inundated with low-quality vibe-coded slop that takes time away from doing real work. This pattern of 'turning slop into quality code' through the review process hurts productivity and hurts morale." McLuckie continued: "Code volume is going up, but tensions rise as engineers do the fun work with AI, then push responsibilities onto their team to turn slop into production code through structured review."

Sphere Entertainment plans to build a second U.S. Sphere near Washington, D.C., with a smaller 6,000-seat "mini-Sphere" proposed for National Harbor in Maryland. The venue would retain the signature LED exterior and immersive 4D tech of the Las Vegas Sphere, just at a more compact scale. The Verge reports: The second US sphere would be built in an area known as National Harbor in Prince George's County, Maryland. Located along the Potomac River, National Harbor currently features a convention center, multiple hotels, restaurants, and shops. While Abu Dhabi plans to build a sphere as large as the one in Las Vegas, the National Harbor venue would be one of the first mini-Sphere venues announced last March.

Its capacity would be limited to 6,000 seats instead of over 17,000. But the smaller Sphere would still be hard to miss with an exterior LED exosphere for showcasing the "artistic and branded content" that helped make the original sphere a unique part of the Las Vegas skyline. The inside of the mini-Sphere will feature a high-resolution 16,000 by 16,000 pixel wrap-around screen, the company's immersive sound technology, haptic seating, and "4D environmental effects." For the AI-enhanced version of The Wizard of Oz currently playing in Las Vegas, audiences experience effects like wind, fog, smells, and apples falling from the ceiling.

An anonymous reader quotes a report from TorrentFreak: NVIDIA executives allegedly authorized the use of millions of pirated books from Anna's Archive to fuel its AI training. In an expanded class-action lawsuit that cites internal NVIDIA documents, several book authors claim (PDF) that the trillion-dollar company directly reached out to Anna's Archive, seeking high-speed access to the shadow library data. [...] Last Friday, the authors filed an amended complaint that significantly expands the scope of the lawsuit. In addition to adding more books, authors, and AI models, it also includes broader "shadow library" claims and allegations. The authors, including Abdi Nazemian, now cite various internal Nvidia emails and documents, suggesting that the company willingly downloaded millions of copyrighted books. The new complaint alleges that "competitive pressures drove NVIDIA to piracy," which allegedly included collaborating with the controversial Anna's Archive library.

According to the amended complaint, a member of Nvidia's data strategy team reached out to Anna's Archive to find out what the pirate library could offer the trillion-dollar company "Desperate for books, NVIDIA contacted Anna's Archive -- the largest and most brazen of the remaining shadow libraries -- about acquiring its millions of pirated materials and 'including Anna's Archive in pre-training data for our LLMs,'" the complaint notes. "Because Anna's Archive charged tens of thousands of dollars for 'high-speed access' to its pirated collections [] NVIDIA sought to find out what "high-speed access" to the data would look like."

According to the complaint, Anna's Archive then warned Nvidia that its library was illegally acquired and maintained. Because the site previously wasted time on other AI companies, the pirate library asked NVIDIA executives if they had internal permission to move forward. This permission was allegedly granted within a week, after which Anna's Archive provided the chip giant with access to its pirated books. "Within a week of contacting Anna's Archive, and days after being warned by Anna's Archive of the illegal nature of their collections, NVIDIA management gave 'the green light' to proceed with the piracy. Anna's Archive offered NVIDIA millions of pirated copyrighted books." The complaint states that Anna's Archive promised to provide NVIDIA with access to roughly 500 terabytes of data. This included millions of books that are usually only accessible through Internet Archive's digital lending system, which itself has been targeted in court. The complaint does not explicitly mention whether NVIDIA ended up paying Anna's Archive for access to the data.

Additionally, it's worth mentioning that NVIDIA also stands accused of using other pirated sources. In addition to the previously included Books3 database, the new complaint also alleges that the company downloaded books from LibGen, Sci-Hub, and Z-Library. In addition to downloading and using pirated books for its own AI training, the authors allege NVIDIA distributed scripts and tools that allowed its corporate customers to automatically download "The Pile", which contains the Books3 pirated dataset.

According to CFO Sarah Friar, OpenAI's annualized revenue surpassed $20 billion in 2025, up from $6 billion a year earlier with growth closely tracking an expansion in computing capacity. Reuters reports: OpenAI's computing capacity rose to 1.9 gigawatts (GW) in 2025 from 0.6 GW in 2024, Friar said in the blog, adding that Microsoft-backed OpenAI's weekly and daily active users figures continue to produce all-time highs. OpenAI last week said it would start showing ads in ChatGPT to some U.S. users, ramping up efforts to generate revenue from the AI chatbot to fund the high costs of developing the technology. Separately, Axios reported on Monday that OpenAI's policy chief Chris Lehane said that the company is "on track" to unveil its first device in the second half of 2026.

Friar said OpenAI's platform spans text, images, voice, code and APIs, and the next phase will focus on agents and workflow automation that run continuously, carry context over time, and take action across tools. For 2026, the company will prioritize "practical adoption," particularly in health, science and enterprise, she said. Friar said the company is keeping a "light" balance sheet by partnering rather than owning and structuring contracts with flexibility across providers and hardware types.

Seven out of ten C-suite executives believe traditional enterprise resource planning software has seen its best days, though the category remains firmly entrenched in corporate IT and opinion is sharply divided on what comes next. A survey of 4,295 CFOs, CISOs, CIOs and CEOs worldwide found 36% expect ERP to give way to composable, API-driven best-of-breed systems, while 33% see the future in "agentic ERP" featuring autonomous AI-driven decision-making.

The research was commissioned by Rimini Street, a third-party support provider for Oracle and SAP. Despite the pessimism, 97% said their current systems met business requirements. Vendor lock-in remains a sore point: 35% cited limited flexibility and forced upgrades as frustrations. Kingfisher, operator of 2,000 European retail stores including Screwfix and B&Q, recently eschewed an SAP upgrade in favor of using third-party support to shift its existing application to the cloud. Gartner analyst Dixie John cautioned that while third-party support may work in the short or medium term, organizations will eventually need to upgrade.

Valve has substantially overhauled its guidelines for how game developers must disclose the use of generative AI on Steam, making explicit that tools like code assistants and other development aids do not fall under the disclosure requirement. The updated rules clarify that Valve's focus is not on "efficiency gains through the use of AI-powered dev tools."

Developers must still disclose two specific categories: AI used to generate in-game content, store page assets, or marketing materials, and AI that creates content like images, audio, or text during gameplay itself. Steam has required AI disclosures since 2024, and an analysis from July 2025 found nearly 8,000 titles released in the first half of that year had disclosed generative AI use, compared to roughly 1,000 for all of 2024. The disclosures remain voluntary, so actual usage is likely higher.

The "surprisingly resilient" global economy is at risk of being disrupted by a sharp reversal in the AI boom, the IMF warned on Monday, as world leaders prepared for talks in the Swiss resort of Davos. From a report: Risks to global economic expansion were "tilted to the downside," the fund said in an update to its World Economic Outlook, arguing that growth was reliant on a narrow range of drivers, notably the US technology sector and the associated equity boom.

Nonetheless, it predicted US growth would strongly outpace the rest of the G7 this year, forecasting an expansion of 2.4 per cent in 2026 and 2 per cent in 2027. Tech investment had surged to its highest share of US economic output since 2001, helping drive growth, the IMF found.

"There is a risk of a correction, a market correction, if expectations about AI gains in productivity and profitability are not realised," said Pierre-Olivier Gourinchas, IMF chief economist. "We're not yet at the levels of market frothiness, if you want, that we saw in the dotcom period," he added. "But nevertheless there are reasons to be somewhat concerned."

This week Noema magazine published a 7,000-word exploration of our modern "Mythology Of Conscious AI" written by a neuroscience professor who directs the University of Sussex Centre for Consciousness Science: The very idea of conscious AI rests on the assumption that consciousness is a matter of computation. More specifically, that implementing the right kind of computation, or information processing, is sufficient for consciousness to arise. This assumption, which philosophers call computational functionalism, is so deeply ingrained that it can be difficult to recognize it as an assumption at all. But that is what it is. And if it's wrong, as I think it may be, then real artificial consciousness is fully off the table, at least for the kinds of AI we're familiar with.
He makes detailed arguments against a computation-based consciousness (including "Simulation is not instantiation... If we simulate a living creature, we have not created life.") While a computer may seem like the perfect metaphor for a brain, the cognitive science of "dynamical systems" (and other approaches) reject the idea that minds can be entirely accounted for algorithmically. And maybe actual life needs to be present before something can be declared conscious.

He also warns that "Many social and psychological factors, including some well-understood cognitive biases, predispose us to overattribute consciousness to machines."

But then his essay reaches a surprising conclusion: As redundant as it may sound, nobody should be deliberately setting out to create conscious AI, whether in the service of some poorly thought-through techno-rapture, or for any other reason. Creating conscious machines would be an ethical disaster. We would be introducing into the world new moral subjects, and with them the potential for new forms of suffering, at (potentially) an exponential pace. And if we give these systems rights, as arguably we should if they really are conscious, we will hamper our ability to control them, or to shut them down if we need to. Even if I'm right that standard digital computers aren't up to the job, other emerging technologies might yet be, whether alternative forms of computation (analogue, neuromorphic, biological and so on) or rapidly developing methods in synthetic biology. For my money, we ought to be more worried about the accidental emergence of consciousness in cerebral organoids (brain-like structures typically grown from human embryonic stem cells) than in any new wave of LLM.

But our worries don't stop there. When it comes to the impact of AI in society, it is essential to draw a distinction between AI systems that are actually conscious and those that persuasively seem to be conscious but are, in fact, not. While there is inevitable uncertainty about the former, conscious-seeming systems are much, much closer... Machines that seem conscious pose serious ethical issues distinct from those posed by actually conscious machines. For example, we might give AI systems "rights" that they don't actually need, since they would not actually be conscious, restricting our ability to control them for no good reason. More generally, either we decide to care about conscious-seeming AI, distorting our circles of moral concern, or we decide not to, and risk brutalizing our minds. As Immanuel Kant argued long ago in his lectures on ethics, treating conscious-seeming things as if they lack consciousness is a psychologically unhealthy place to be...

One overlooked factor here is that even if we know, or believe, that an AI is not conscious, we still might be unable to resist feeling that it is. Illusions of artificial consciousness might be as impenetrable to our minds as some visual illusions... What's more, because there's no consensus over the necessary or sufficient conditions for consciousness, there aren't any definitive tests for deciding whether an AI is actually conscious....

Illusions of conscious AI are dangerous in their own distinctive ways, especially if we are constantly distracted and fascinated by the lure of truly sentient machines... If we conflate the richness of biological brains and human experience with the information-processing machinations of deepfake-boosted chatbots, or whatever the latest AI wizardry might be, we do our minds, brains and bodies a grave injustice. If we sell ourselves too cheaply to our machine creations, we overestimate them, and we underestimate ourselves...

The sociologist Sherry Turkle once said that technology can make us forget what we know about life. It's about time we started to remember.

"Astronomers are preparing to capture a movie of a supermassive black hole in action for the first time," reports the Guardian: The Event Horizon Telescope (EHT) will track the colossal black hole at the heart of the Messier 87 galaxy throughout March and April with the aim of capturing footage of the swirling disc that traces out the edge of the event horizon, the point beyond which no light or matter can escape... The EHT is a global network of 12 radio telescopes spanning locations from Antarctica to Spain and Korea, which in 2019 unveiled the first image of a black hole's shadow. During March and April, as the Earth rotates, M87's central black hole will come into view for different telescopes, allowing a complete image to be captured every three days...

Measuring the black hole's spin speed matters because this could help discriminate between competing theories of how these objects reached such epic proportions. If black holes grow mostly through accretion — steadily snowballing material that strays nearby — they would be expected to end up spinning at incredibly high speeds. By contrast, if black holes expand mostly through merging with other black holes, each merger could slow things down. The observations could also help explain how black hole jets are formed, which are among the largest, most powerful structures produced by galaxies. Jets channel vast columns of gas out of galaxies, slowing down the formation of new stars and limiting galaxy growth. In turn this can create dense pockets of material that trigger bursts of star formation beyond the host galaxy...

While the movie campaign will take place in the spring, the sheer volume of data produced by the telescopes means the scientists will need to wait for Antarctic summer before the hard drives can be physically shipped to Germany and the US for processing. So it is likely to be a lengthy wait before the rest of the world gets a glimpse of the black hole in action.
In a correction, the Guardian apologizes for originally including an AI-generated illustration of black hole with a caption suggesting it was a photo from telescopes. They've since swapped in an actual picture of the Messier 87 galaxy black hole.

U.S. college graduates "have historically found jobs more quickly than people with only a high school degree," writes Bloomberg.

"But that advantage is becoming a thing of the past, according to new research from the Federal Reserve Bank of Cleveland." "Recently, the job-finding rate for young college-educated workers has declined to be roughly in line with the rate for young high-school-educated workers, indicating that a long period of relatively easier job-finding prospects for college grads has ended," Cleveland Fed researchers Alexander Cline and BarıÅY Kaymak said in a blog post published Monday. The study follows the latest monthly employment data released on Nov. 20, which showed the unemployment rate for college-educated workers continued to rise in September amid an ongoing slowdown in white-collar hiring... The unemployment rate for people between the ages of 20 to 24 was 9.2% in September, up 2.2 percentage points from a year prior.
There is a caveat. "Young college graduates maintain advantages in job stability and compensation once hired..." the researchers write. "The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes."

Their research includes a graph showing how the "unemployment gap" first increased dramatically after 2010 between college-educated and high school-educated workers, which the researchers attribute to "the prolonged jobless recovery after 2008". But that gap has been closing ever since, with that gap now smaller than at any time since the 1970s.

"Young high school workers are riding the wave of the historically tight postpandemic labor market with well-below-average unemployment compared to that of past high school graduates, while young college workers are experiencing unemployment rates rarely observed among past college cohorts barring during recessions." The labor market advantages conferred by a college degree have historically justified individual investment in higher education and expanding support for college access. If the job-finding rate of college graduates continues to decline relative to the rate for high school graduates, we may see a reversal of these trends. The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes. These details suggest a nuanced shift in employment dynamics, one in which college graduates face greater difficulty finding jobs than previously but maintain advantages compared with high school graduates in job stability and compensation once hired.
Two key quotes:

• "Declining job prospects among young college graduates may reflect the continued growth in college attainment, adding ever larger cohorts of college graduates to the ranks of job seekers, even though technology no longer favors college-educated workers."

• "Developments related to AI, which may be affecting job-finding prospects in some cases, cannot explain the decades-long decline in the college job-finding rate."

The European Commission "has opened a public call for evidence on European open digital ecosystems," writes Help Net Security, part of preparations for an upcoming Communication "that will examine the role of open source in EU's digital infrastructure." The consultation runs from January 6 to February 3, 2026. Submissions will be used to shape a Commission Communication addressed to the European Parliament, the Council, and other EU bodies, which is scheduled for publication in the first quarter of 2026... The call for evidence links Europe's reliance on digital technologies developed outside the EU to concerns over long term control of infrastructure and software supply chains... Open digital ecosystems are discussed in the context of technological sovereignty and the use of technologies that can be inspected, adapted, and shared.
Long-time Slashdot reader Elektroschock describes it as the European Commission "stepping up its efforts behind open-source software" Building on President von der Leyen's political guidelines, the initiative will review the Commission's 2020-2023 open-source approach and set out concrete actions to strengthen Europe's open-source ecosystem across key areas such as cloud, AI, cybersecurity and industrial technologies. The strategy will be presented alongside the upcoming Cloud and AI Development Act, forming a broader policy package aimed at reducing strategic dependencies and boosting Europe's digital resilience.
And "In just a few days, over 370 submissions have already been filed, indicating that the issue is touching a nerve across the EU," writes CyberNews.com: "Europe must regain control over its software supply chain to safeguard freedom, security, and innovation," suggests an individual from Slovakia. Similar perspectives appear to be widely shared among respondents...

The document doesn't mention US tech giants specifically, but rather aims to support tech sovereignty and seek "digital solutions that are valid alternatives to proprietary ones...."

"This is not a legislative initiative. The strategy will take the form of a Commission communication. The initiative will set out a general approach and will propose: actions relying on further commitments and an implementation process," the EC explains. Policymakers expect the strategy to help EU member states identify the necessary steps to support national open-source companies and communities.

This week Google "unveiled a set of tools for retailers that helps them roll out AI agents," reports the Wall Street Journal, The new retail AI agents, which help shoppers find their desired items, provide customer support and let people order food at restaurants, are part of what Alphabet-owned Google calls Gemini Enterprise for Customer Experience. Major retailers, including home improvement giant Lowe's, the grocer Kroger and pizza chain Papa Johns say they are already using Google's tools to help prepare for the incoming wave of AI-assisted shopping and ordering...

Kicking off the race among tech giants to get ahead of this shift, OpenAI released its Instant Checkout feature last fall, which lets users buy stuff directly through its chatbot ChatGPT. In January, Microsoft announced a similar checkout feature for its Copilot chatbot. Soon after OpenAI's release last year, Walmart said it would partner with OpenAI to let shoppers buy its products within ChatGPT.
But that's just the beginning, reports the New York Times, with hundreds of start-ups also vying for the attention of retailers: There are A.I. start-ups that offer in-store cameras that can detect a customer's age or gender, robots that manage shelves on their own and headsets that give store workers access to product information in real time... The scramble to exploit artificial intelligence is happening across the retail spectrum, from the highest echelons of luxury goods to the most pragmatic of convenience stores.

7-Eleven said it was using conversational A.I. to hire staff at its convenience stores through an agent named Rita (Recruiting Individuals Through Automation). Executives said that they no longer had to worry about whether applicants would show up to interviews and that the system had reduced hiring time, which had taken two weeks, to less than three days.
The article notes that at the National Retail Federation conference, other companies showing their AI advancements included Applebee's, IHOP, the Vitamin Shoppe, Urban Outfitters, Rag & Bone, Kendra Scott, Michael Kors and Philip Morris.