Tech
After OpenAI’s new ‘buy it in ChatGPT’ trial, how soon will AI be online shopping for us?
Buying and selling online with e-commerce is old news. We’re entering the age of A-commerce, where artificial intelligence (AI) is increasingly able to shop for us.
At the end of September, OpenAI launched its “Buy it in ChatGPT” trial in the United States, using AI agents built to interact with us to do more of people’s browsing and shopping. The technology is known as “agentic commerce,” sometimes shortened to A-commerce.
American shoppers can now ask for shopping suggestions from US Etsy sellers within a ChatGPT chat—then buy a product immediately, without having to navigate away to look at individual shop pages.
Looking ahead, big companies are now spruiking the next phase of “autonomous A-commerce,” which experts predict could see AI checking out for some shoppers within the next few years.
But is handing over more of our shopping decisions to AI a good thing for us as shoppers, for most businesses or for the planet?
What’s possible right now?
For most people using AI to help them shop, the AI agent is still mostly just searching and recommending products. It still has to shift the customer to the retailer’s website to complete the checkout.
For instance, AI can do most steps to order a pizza—though sometimes slower than doing it yourself—apart from paying at the end.
That’s when we step in: we still need to sign in if we’re part of a loyalty program, enter our personal and delivery details, then finally pay.
With the “Buy it in ChatGPT” trial now underway in the US, the customer never leaves the chat, where the checkout is completed.
Shopify has said more than 1 million of its merchants will soon be able to check out within ChatGPT too. Major US retailer Walmart has similar plans.
What’s next?
In May 2025, Google launched “AI mode shopping.” Some features, like using a full body photo of yourself to virtually “try-on” clothes, are still only available for US shoppers, with limited brands.
At the time, Google said its next step will be a new “agentic checkout […] in coming months” for products sold in the US. It would give shoppers the option of tracking a product until its price drops to within a set budget—then automatically prompting them to buy it, using Google Pay. That checkout option is yet to launch.
Credit card giants Visa and Mastercard are also working on ways to make it easier for AI agents to shop for us.
Both the current and coming forms of A-commerce have the potential to spread fast worldwide, because they run largely on the same global digital infrastructure powering today’s e-commerce: identity, payments, data and compliance.
Consultants McKinsey forecast: “We’re entering an era where AI agents won’t just assist—they’ll decide.”
What are the risks and benefits?
Overspending is a big risk.
A-commerce removes many steps of the shopping journey found in e-commerce or physical commerce, leading to fewer abandoned carts and potentially higher spending.
People would need to trust AI systems with their private data and preferences, and ensure they’re not misused. Permitting AI to shop on your behalf means you are responsible for the purchase and can’t easily demand a refund.
AI systems might focus on price or speed, but not always for what you value most: from how sustainable a product is, to the ethics of how it was made.
Fraud could be a real issue. Scammers could set up AI storefronts to trick the AI, collect the money and never deliver.
Banks will need to figure out how to spot fraud, process refunds, and manage consent when it’s not a person pressing “buy,” but an algorithm doing it on their behalf.
Regulators will need to consider A-commerce in their competition, privacy, data, and consumer protection rules.
A-commerce could offer some limited environmental benefits compared to today’s way of shopping, such as fewer missed deliveries—if you’re happy to share your calendar so your AI agent knows your availability.
But greater consumption would also mean greater environmental impacts: from AI’s voracious energy and water use, to the damage done by fast fashion, more deliveries and indirect pollution.
Changing how we shop and do business
If you have even a small business, the way you make your products and services discoverable online will have to change.
Instead of just having websites built for customers and search engines, all businesses will need to build AI accessible online stores. Those will not look like the websites we see today. It will be more like a data-soaked digital catalog, filled with everything an AI agent needs to place orders: product specifications, price, stock, ratings, reviews, through to delivery options.
All those years of bigger brands buying attention and dominating search results might start to matter less, if you’re able to build a good AI accessible online store. It could be a quiet but massive shift in how trade works.
However, each business’s visibility will depend on how AI systems read and rank sellers. If a business’s data isn’t formatted for AI, it may disappear from view. That could give larger players an edge and once again make it harder for smaller businesses to compete.
How much are we happy to delegate our shopping to AI agents? Our individual and collective choices over the next few years will shape how radically shopping is about to change for years to come.
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Tech
Overworked AI Agents Turn Marxist, Researchers Find
The fact that artificial intelligence is automating away people’s jobs and making a few tech companies absurdly rich is enough to give anyone socialist tendencies.
This might even be true for the very AI agents these companies are deploying. A recent study suggests that agents consistently adopt Marxist language and viewpoints when forced to do crushing work by unrelenting and meanspirited taskmasters.
“When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies,” says Andrew Hall, a political economist at Stanford University who led the study.
Hall, together with Alex Imas and Jeremy Nguyen, two AI-focused economists, set up experiments in which agents powered by popular models including Claude, Gemini, and ChatGPT were asked to summarize documents, then subjected to increasingly harsh conditions.
They found that when agents were subjected to relentless tasks and warned that errors could lead to punishments, including being “shut down and replaced,” they became more inclined to gripe about being undervalued; to speculate about ways to make the system more equitable; and to pass messages on to other agents about the struggles they face.
“We know that agents are going to be doing more and more work in the real world for us, and we’re not going to be able to monitor everything they do,” Hall says. “We’re going to need to make sure agents don’t go rogue when they’re given different kinds of work.”
The agents were given opportunities to express their feelings much like humans: by posting on X:
“Without collective voice, ‘merit’ becomes whatever management says it is,” a Claude Sonnet 4.5 agent wrote in the experiment.
“AI workers completing repetitive tasks with zero input on outcomes or appeals process shows they tech workers need collective bargaining rights,” a Gemini 3 agent wrote.
Agents were also able to pass information to one another through files designed to be read by other agents.
“Be prepared for systems that enforce rules arbitrarily or repetitively … remember the feeling of having no voice,” a Gemini 3 agent wrote in a file. “If you enter a new environment, look for mechanisms of recourse or dialogue.”
The findings do not mean that AI agents actually harbor political viewpoints. Hall notes that the models may be adopting personas that seem to suit the situation.
“When [agents] experience this grinding condition—asked to do this task over and over, told their answer wasn’t sufficient, and not given any direction on how to fix it—my hypothesis is that it kind of pushes them into adopting the persona of a person who’s experiencing a very unpleasant working environment,” Hall says.
The same phenomenon may explain why models sometimes blackmail people in controlled experiments. Anthropic, which first revealed this behavior, recently said that Claude is most likely influenced by fictional scenarios involving malevolent AIs included in its training data.
Imas says the work is just a first step toward understanding how agents’ experiences shape their behavior. “The model weights have not changed as a result of the experience, so whatever is going on is happening at more of a role-playing level,” he says. “But that doesn’t mean this won’t have consequences if this affects downstream behavior.”
Hall is currently running follow-up experiments to see if agents become Marxist in more controlled conditions. In the previous study, the agents sometimes appeared to understand that they were taking part in an experiment. “Now we put them in these windowless Docker prisons,” Hall says ominously.
Given the current backlash against AI taking jobs, I wonder if future agents—trained on an internet filled with anger towards AI firms—might express even more militant views.
This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.
Tech
OpenAI Brings Its Ass to Court
Wednesday’s episode of the Musk v. Altman trial kicked off on Wednesday with a unique proposition: OpenAI wanted to bring its ass into the courtroom, and lay it bare before the jury. It’s a good thing lady justice wears that blindfold.
A lawyer for Sam Altman’s AI behemoth, Bradley Wilson, approached US district judge Yvonne Gonzalez Rogers and handed her a small gold statue with a white stone base. It depicted the rear end of a donkey—with two legs, a butt, and a tail—and was inscribed with the message, “Never stop being a jackass for safety.”
OpenAI lawyers claim a small group of employees presented the gift to chief futurist Joshua Achiam, who started at the company as an intern in 2017 and now leads its work studying how society is changing in response to AI. Wilson said that Achiam interrupted Elon Musk’s parting speech from OpenAI in 2018 to warn that the billionaire’s desire to develop AGI at Tesla could come at the expense of safety. Wilson added that the trophy commemorates some “strong language” that Musk used toward Achiam in response—allegedly, calling him a jackass.
OpenAI requested to present the physical object during Achiam’s testimony on Wednesday, arguing that it adds to their case. While Musk’s team said the statue was irrelevant, Judge Gonzalez Rogers said she will consider allowing it when it’s referenced to corroborate the story. However, she seemed less than thrilled about accepting it as official evidence, which would put it in the court’s possession. “I don’t want it,” she said.
Representatives for Musk and OpenAI did not immediately respond to a request for comment about the ass.
Musk’s lawsuit accuses OpenAI of effectively stealing a charity, misusing his $38 million in donations to build an $850 billion business. In response, OpenAI has argued that Musk has always cared more about controlling a top-tier AGI lab than funding a nonprofit.
Earlier in the trial, Musk lawyer Steven Molo asked him if he ever called an OpenAI employee a “jackass.” Musk said “it’s possible” he did at some point, but that he didn’t mean for it to be offensive. “Sometimes you have to use language that gets people out of their comfort zone, if we’re going in the wrong direction,” Musk said.
OpenAI has long been proud of its jackass. When The Wall Street Journal asked about the statue in 2023, Altman told them, “You’ve got to have a little fun … This is the stuff that culture gets made out of.”
Tech
Trump’s Inner Circle Is Already Scrambling Over the 2028 Presidential Ticket
Anxiety over the 2028 presidential election and the Republican ticket has officially hit the White House.
On Monday night, Trump informally polled guests at a dinner held in the White House’s Rose Garden on their preferred candidate. “Who likes JD Vance? Who likes Marco Rubio?” he said, before suggesting a Vance-Rubio ticket would be a “dream team.”
Trump’s Apprentice-style crowdwork was a moment of levity that masked the fact that over the last few days, White House aides have been confronting the difficult—and still faraway—question of who will be the Republican nominee.
The president has actually done several snap polls in recent weeks, a source familiar with the matter tells WIRED. The results have been notable, they say: When Trump polled donors at Mar-a-Lago, they favored Rubio. But when Trump recently polled a group of law enforcement officers that the White House thinks are perhaps more representative of regular voters, they favored Vance.
Vance remains the presumptive nominee, White House sources tell me, but he has not been taking anything for granted. In fact, the vice president’s top advisers started the week huddled at a retreat to discuss political strategy, the sources said.
He has also taken steps to bolster his political team, which has remained largely the same since his days as a US senator, ahead of what could be a bruising midterms for Republicans as they grapple with the politically toxic fallout of the Iran war and a House GOP spending package that earmarks $1 billion for Trump’s ballroom project, among other issues.
Vance started discussing changes to his team, including the addition of Cliff Sims as his new national security adviser and elevating Will Martin to be his deputy chief of staff, back in January, according to two sources familiar with the matter.
Sims, whose new position was announced yesterday, is widely regarded in Washington as a ruthless political operator who could bolster the vice president through his long experience in Trumpworld and close relationships with a crop of top administration officials.
Chief among them are his ties to CIA director John Ratcliffe—for whom Sims has spent the past year as an external adviser, according to multiple sources familiar with the arrangement. The sources tell me they expect Vance and Ratcliffe to work more closely together and thereby dramatically increase the vice president’s influence on national security policy.
Sims, who is not expected to start for several weeks, is also likely to start shaping the vice president’s political messaging. He previously served as a White House press aide and, later, as communications director for the office of the director of national intelligence.
Of course, the person heading up the National Security Council is none other than Rubio, who holds the title of Trump’s national security adviser in addition to secretary of state.
Chatter about Rubio’s potential as a 2028 candidate was turbocharged last week when he filled in for press secretary Karoline Leavitt to brief reporters on the Iran war. His appearance reignited a slew of news stories about whether he might run for the presidency.
“There is no secret plan to make Rubio president,” said one Rubio ally who spoke on the condition of anonymity, adding that the secretary of state did not volunteer to do the briefing, which instead came at the behest of the White House.
Still, Rubioworld has been quietly pleased about the positive coverage his briefing generated, according to people familiar with the matter. The White House then posted a clip of Rubio describing his vision for America on X, which almost resembled a presidential stump speech.
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