Category: Artificial Intelligence

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  • Accenture: Consumers show growing trust in AI shopping agents

    Consumers are showing a willingness to let AI agents take on more shopping-related tasks, according to new research from Accenture.

    The company’s 2026 Consumer Pulse Research, based on a survey of 25,590 consumers across 16 countries, found that 74% of respondents would trust a personal AI agent more than their best friend to make a purchase on their behalf.

    The report described this as a move beyond the use of chatbots or search tools. In this context, an AI agent refers to software that can act on a consumer’s behalf within set permissions. It can shop, negotiate, resolve complaints, manage subscriptions, and, in some cases, complete purchases.

    Consumers are ready to delegate

    The survey found that 74% of consumers would allow an AI agent to handle routine tasks. These include deal negotiation, complaint resolution, subscription renewals, and product reorders.

    Accenture said this level of delegation does not mean consumers are ready to hand over every decision. Instead, the findings suggest that consumers are more open to delegating parts of shopping that feel repetitive, time-consuming, or low-risk.

    The report also found that 32% of consumers would ask an AI agent to make a purchase decision on their behalf within defined limits. These limits could include budget and brand preferences, with other conditions set by the user.

    In that scenario, the AI agent would choose the best available option, but the consumer would still review and approve the purchase before payment. The report categorised this as delegated decision-making, separate from task execution and autonomous purchasing.

    Autonomy still has limits

    A smaller group of consumers is open to AI agents completing purchases without final approval. The report found that 9% of respondents would allow an agent to initiate and complete purchases within defined boundaries.

    The payment stage recorded lower openness to autonomous agent decisions. Accenture said only 12% of consumers are open to agents making purchase decisions autonomously at the payment stage.

    The report identified several conditions that affect consumer willingness to delegate more control. These include data safeguards, configurable permissions, and instant override options. Clear recourse, platform reputation, and perceived neutrality also affect trust.

    Consumers are more comfortable with AI agent autonomy in parts of the journey where effort is high and emotional stakes are lower. The report pointed to negotiation and post-purchase support as areas where consumers showed greater openness.

    The report said recurring services ranked highest across stages of delegation, while lifestyle and travel purchases showed a sharper drop as autonomy increased.

    It also said consumers are more likely to keep control over choices linked to identity or personal enjoyment. A consumer may delegate routine grocery restocking but still want to choose a hotel room, clothing item, or experience directly.

    What it means for brands

    The report said AI-assisted shopping requires brands and retailers to make product information clear and machine-readable. If consumers use agents to compare options, pricing, availability, policies, and claims will also need to be easy for agents to assess.

    AI agents can compare brands using structured attributes and verified claims. They can also weigh price-to-value ratios and fulfilment records. The report said this affects how brands appear across digital channels, including search engines, marketplaces, and social platforms.

    The report found that 56% of all consumers would tell their AI agent which brands to consider. Among behaviorally loyal consumers, 37% said they would allow an agent to switch brands if it found a better fit.

    The report linked brand switching to factors such as fit, price, availability, and service performance.

    Accenture also found that consumers are interested in agents that can work across providers. The report said 61% want an agent that can shop across multiple grocery retailers on their behalf, while 71% want an agent that can plan and book a complete trip across airlines, hotels, and activities.

    Brands and retailers need product data, pricing, availability, policies, and claims to be readable by the systems agents use to evaluate options, according to the report.

    The main reasons cited were existing knowledge of shopping preferences, trust built through service and support, and access to a broad selection of products and services.

    The report listed several possible roles for brands and retailers in AI-assisted commerce. Some may build their own agents, while others may integrate data, inventory, and services into platforms that consumers already use.

    The report cited verified information, clear inventory, transparent pricing, and reliable fulfilment data as factors that can help agents evaluate brands more easily.

    It also found that 71% of consumers expect generative AI to influence at least half of their spending decisions over the next 12 months.

    The report also found that 63% of consumers want agents to shop for their “idealised self.” Examples include helping them make healthier choices or stay within budget. Some respondents also want agents to support more intentional upgrades.

    Among active generative AI users, 26% said they had already bought a more expensive item because AI increased their confidence in the decision. The same proportion said AI had led them to increase their basket size.

    Stores still matter

    The survey also asked consumers how AI could affect stores. It found that 87% believe AI will affect the role of stores. Another 31% said stores will become more important for creating moments of enjoyment.

    The findings show lower openness to full automation than to routine task delegation. It shows a more selective pattern, with consumers delegating routine or lower-risk tasks while retaining control over purchases that involve personal preference, risk, or emotional value.

    The report said some brand evaluation could take place inside agent-led comparison systems before consumers visit a website, app, or store.

    (Photo by Growtika)

    See also: Visa ChatGPT integration enables AI agent retail purchasing

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  • McDonald’s tests Google-backed AI drive-thru ordering system

    McDonald’s is testing a new AI system that can take drive-thru orders and support restaurant operations.

    The system, called ArchIQ and nicknamed “Archy,” was introduced during the company’s Worldwide convention, according to Restaurant Business. It is being tested at five McDonald’s locations in the United States, though the company has not named the restaurants involved.

    A video shared on X by a McDonald’s franchise owner showed the system greeting customers, processing order changes, displaying the final total, and asking customers to pull ahead for pickup.

    A demonstration shared on X by the franchisee account McFranchisee showed the system taking orders in English and Spanish. The account said the system has processed more than one million transactions, with about 90% of orders completed without being escalated to staff.

    The same account said ArchIQ can respond when repeat customers ask for their usual order. McDonald’s has not provided technical details on how that feature works.

    ArchIQ is being developed with Google. According to McFranchisee, McDonald’s restaurants in the US are receiving Google Edge Cloud blades ahead of the rollout.

    McDonald’s previous AI ordering test

    ArchIQ is McDonald’s latest AI test for drive-thru ordering. The company previously worked with IBM on an automated ordering system across more than 100 restaurants.

    McDonald’s ended that pilot in 2024 after customer complaints over order errors. The earlier IBM test was followed by customer videos showing incorrect orders, including one case in which the system reportedly added more than $250 worth of chicken nuggets.

    After ending the IBM partnership, McDonald’s said it would continue exploring voice ordering technology.

    Restaurant operations support

    ArchIQ is not limited to customer ordering. McFranchisee said it can monitor restaurants and alert managers to possible issues.

    According to McFranchisee, the system can alert managers if a freezer is down. It can also flag kitchen bottlenecks or other problems that need attention.

    McFranchisee described ArchIQ as both an ordering tool and a management-support tool.

    The test forms part of McDonald’s new growth plan, called “McDonald’s > NEXT.” The company said the plan is intended to improve restaurant operations and unit economics.

    McDonald’s reported a large digital customer base in its 2025 results. The company said systemwide sales to loyalty members across 70 markets rose 20% to nearly US$37 billion in 2025, while 90-day active loyalty users rose 19% to nearly 210 million at year-end.

    McDonald’s CEO Chris Kempczinski said in a press release that the strategy is aimed at the company’s next phase of growth and productivity.

    The company has also referenced restaurant upgrades and possible menu changes under the same plan, but has not provided detailed information.

    Automation and service

    In a company memo, Kempczinski said more of the customer journey is becoming automated, leaving fewer chances for guests to interact with crew members. He said that it raises the standard for hospitality when customers interact with staff.

    QSR Magazine’s 2025 Drive-Thru Report, citing Revenue Management Solutions, said drive-thru traffic remained negative month after month and hovered between minus 5% and minus 8% in 2025.

    Other fast-food chains have also announced AI-powered drive-thru ordering systems, including Taco Bell and Wendy’s.

    Jonathan Maze, editor-in-chief of Restaurant Business, told ABC News that companies often present drive-thru automation as a way to free employees for other tasks. The McFranchisee account said the system could reduce the need for workers to take orders in noisy drive-thru lanes.

    Some X users responding to the ArchIQ demonstration said they preferred interacting with human workers. Others supported a more automated ordering process.

    McDonald’s has not said when ArchIQ could be expanded beyond the five test locations. The company has said the system is intended to improve speed and accuracy while supporting customers and crew.

    The company’s AI drive-thru system remains in limited testing.

    (Photo by Boshoku)

    See also: Walmart’s AI workflows meet the realities of the balance sheet

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    The post McDonald’s tests Google-backed AI drive-thru ordering system appeared first on AI News.

  • Siri AI arrives with Google inside, and much of the world is locked out

    “We’ve all had that moment where you search for something you know is there, but it just won’t show up.” Apple’s Stacey Ford, vice president of OS Program Management, was talking about Spotlight at WWDC 2026, but she could have been describing the company’s AI ambitions. 

    On Monday at Apple Park, the thing that wouldn’t show up finally did: Siri AI, the assistant rebuilt from scratch after years of underdelivery. The new Siri sustains genuine multi-turn conversation, draws on what’s in a user’s mail, messages and photo library, fields live queries from the web, and carries out tasks across applications.

    Apple is giving the assistant its own dedicated app alongside system-wide integration, with iPhones showing Siri activity in the Dynamic Island as requests run. That is the version Apple presented on stage. The version worth examining sits in the footnotes: who is actually powering Siri AI, and who gets to use it. 

    Google under the hood

    Apple’s most consequential disclosure was a quiet one. The company said it collaborated with Google and the Gemini family of models to develop the next generation of Apple Foundation Models that power its Apple Intelligence experiences, the architecture on which Siri AI runs. After two years of insisting its in-house models would close the gap, Apple has answered the question of how it caught up: it didn’t, alone. 

    The company spent considerable keynote time pre-empting the obvious objection. “We believe privacy in AI is non-negotiable,” senior vice president Craig Federighi said, adding that “data is only used to execute your request, and outside experts can continue to verify this promise at any time.”

    The privacy architecture may well hold. The strategic picture is harder to soften. Apple now depends on its largest search rival for the intelligence layer of its own assistant; at the same time, Google is shipping Gemini across Android, Workspace and its own hardware. Whatever the terms of the arrangement, Apple has conceded that the frontier model race is one it could not win on its own timeline, and that admission carries weight far beyond Cupertino. 

    If the world’s most valuable hardware company, with its silicon advantage and effectively unlimited budget, chose to license rather than build, the sovereign AI ambitions being drafted in capitals around the world deserve a more honest read of what “building our own model” actually costs.

    The Siri AI rollout map tells its own story

    Then there is the question of who gets Siri AI at all. The initial beta, due later this year, supports English only. China is off the map entirely, with Apple citing unresolved regulatory requirements, and EU users won’t see the assistant on iPhone or iPad at launch. Apple has said a path forward is being worked on; in the meantime, its updated press release confirms EU availability is limited to macOS 27 and visionOS 27 at first.

    Read that map from Asia, and the gaps are glaring. China, Apple’s most contested market, is excluded outright, while domestic assistants from Chinese vendors ship without restriction. An English-only beta leaves Mandarin, Japanese, Korean, Bahasa and Hindi speakers, which is to say most iPhone users in the world’s fastest-growing smartphone markets, on the old Siri for an unspecified period. 

    Apple gave no timeline for additional languages. The company that built its reputation on shipping the same product to everyone, everywhere, on the same day, has shipped its most important software in years to English speakers only, minus China entirely and minus iPhone users in the EU.”

    Catching up, by Apple’s own staging

    The keynote’s structure was telling. TechCrunch noted that Apple opened by repairing what was broken before showing off what was new, and positioned the upgraded Siri as one entry on a lengthy list rather than the headline act.

    It was also a transition moment. This was Tim Cook’s final WWDC as CEO before John Ternus, Apple’s senior vice president of hardware engineering, takes over on September 1. “I truly believe the best is still ahead at Apple,” Cook said in his closing remarks. 

    Perhaps. Siri AI is a real product at last, and the demos suggest Apple’s integration instincts remain intact. But Ternus inherits an assistant that thinks with Google’s models and a rollout plan that asks most of the planet to wait. The catching up, it turns out, has only just started.

    (Photo by Apple)

    See also: Apple plans big Siri update with help from Google AI

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    The post Siri AI arrives with Google inside, and much of the world is locked out appeared first on AI News.

  • Amazon Shows Smarter ‘Proteus’ Warehouse Robot

    Next-generation Proteus robot, with ability to understand conversational prompts, is set for European roll-out next year
  • DeepSeek Value Rises To $45bn In First Funding Round

    China’s biggest state-backed chip investment fund reportedly in talks to lead AI start-up’s funding round, as valuation more than doubles
  • France’s Genesis AI Debuts First Model, Shows Robotic Hand

    Start-up Genesis AI backed by former Google chief Eric Schmidt builds model to power robots for delicate or complex tasks
  • Silicon In Focus Podcast: Identity Under Siege: Why Credentials Are the New Battleground

    Discover why identity is the new cybersecurity battleground as experts explore zero trust, MFA weaknesses, AI threats, and credential attacks.
  • FinTech and Agentic Commerce: When AI Becomes the Customer

    Agentic commerce is transforming FinTech as AI agents autonomously discover, negotiate and complete transactions on behalf of customers
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    Use ChatGPT to turn a Reddit post into PowerPoint slides, complete with original images. Create original content and get traffic using this technique.
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    Want to create images using a new simulated image style? Check out the Neon Blue Photography style, for which images are easily produced using ChatGPT. Even better, ChatGPT itself inspired this creative looking style.