Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory moves through supply chains, how engineers ship code faster, and how retailers respond to customer behavior in real time. As legacy retailers navigate a fragmented and hyper-competitive landscape, AI is becoming an operating philosophy.
At Macy’s, that philosophy is more often defined by what senior director of engineering Murali Murugan describes as an “AI-first” approach. “AI first isn’t about adding intelligence on top,” Murugan says. “It’s about redesigning how decisions happen so the business moves faster and every experience feels more relevant by default.” Rather than layering AI onto existing workflows, Macy’s is embedding intelligence directly into systems that include personalization, search, operational planning, and software development itself.
The company’s strategy is reflective of a larger shift taking place across retail: moving from isolated AI pilots toward integrated systems designed to compress, as Murugan puts it, “the gap between the signal and the action.” Early efforts focused on narrow, high-impact use cases like search recommendations and customer engagement, where measurable gains in conversion and reduced friction quickly built internal momentum. “Once we established the quick wins, scaling was a business decision, not a technology debate anymore,” he says.
That momentum is now extending into conversational commerce through tools like Ask Macy’s, an AI-powered shopping assistant designed to act more like a personal stylist than a traditional search bar. Whether for a prom, a vacation, or a last-minute event, customers can describe what they need conversationally and receive curated recommendations informed by past purchases, preferences, and context.
Still, the company sees AI as more of an invisible layer augmenting human judgment than a replacement for it. The long-term vision is retail that feels increasingly seamless, adaptive, and personalized, powered by systems customers may never even notice are there.
“The real transformation in this all comes from continuous improvement,” Murugan says. “It’s about learning from the mistakes, quickly adapting to the newer technology standards that are coming into play, timing, and execution which compound into a meaningfully better customer experience.”
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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Europe’s extreme heat is shutting down power plants
Europe is in the middle of a record-breaking heat wave, and the grid is being pushed to its limits as people turn to fans and air-conditioning to try to stay cool. But some power plants won’t be online to help handle the load.
The main source of stress is increased demand, largely driven by cooling. And the challenges are only expected to worsen as climate change brings more frequent and intense heat waves.
Find out how rising temperatures are stretching power supplies—and how utilities can adapt.
—Casey Crownhart
What Europe’s heat wave means for the power grid
Grid planning in the age of climate change generally means that we need a lot more supply, and quickly. But one interesting facet to this challenge is that in some places, seasonal patterns are shifting, compounding the difficulty of meeting demand.
Europe has historically seen its grid peak in the winter when electric heating is widespread. So some planned outages happen in the spring and into the summer, which is affecting the supply right now. But a growing need for air-conditioning will alter the balance.
Read the full story on how climate change is reshaping electricity demand.
—Casey Crownhart
This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign up to receive it in your inbox every Wednesday.
IBM unveils chip technology that could help extend Moore’s Law another decade
IBM has built a new prototype chip with around 100 billion transistors on an area the size of a fingernail. That’s twice the density of the company’s previous state-of-the-art technology announced in 2021. And the design could pave the way for faster and more energy-efficient computers for years to come.
In the last fifteen years, transistors have been shrunk close to their limits. They can’t get smaller without their function deteriorating. IBM’s new chip resolves this with an approach familiar to urban planners: building up.
Here’s how the strategy is bringing new hope to the technology industry.
—Sophia Chen
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Anthropic says Alibaba “illicitly” extracted Claude’s capabilities
It claims the Chinese firm ran a “brazen” campaign to access the model. (BBC)
+ It says it’s the “largest known distillation attack” on the company. (CNBC)
+ The technique trains a weaker model on a stronger one’s outputs. (FT $)
+ Anthropic previously accused other Chinese rivals of using it. (CNN)
+ But it’s still feuding with the White House. (MIT Technology Review)
2 NASA has detected possible chemical signatures of ancient life on Mars
The Perseverance rover spotted complex carbon on rocks. (New Scientist $)
+ The molecules are typically associated with dead organisms. (Guardian)
+ The US has lost its lead in the hunt for alien life. (MIT Technology Review)
3 The EU has joined a US pact to stop relying on Chinese AI
Much of the rest of the world seems to still be a battleground for control. (FT $)
+ China is expanding its AI push in the Global South to counter the US. (The Wire China)
+ Chinese AI experts are freaking out about the AI arms race. (Wired $)
4 OpenAI and Broadcom have unveiled their first jointly designed AI chip
Jalapeño is built to power large-scale AI systems like ChatGPT. (NYT $)
+ It’s part of OpenAI’s push to “build the full stack.” (CNBC)
5 A new report shows ICE has built a vast hi-tech surveillance system
It includes facial recognition, drones, and data scraping.(Guardian)
+ Is the Pentagon allowed to surveil citizens with AI? (MIT Technology Review)
6 Electronics can now be printed onto living tissue
Which could enable smart implants and ingestible diagnostics. (The Economist $)
7 The data center boom is sparking a third wave of inflation
Demand for memory chips is pushing prices higher.(WSJ $)
8 Companies are scrambling to curb spending on AI token “chewing”
Accenture data shows non-technical staff are draining budgets. (404 Media)
9 Claude Design is creating a bland wave of website uniformity
The AI tool is homogenizing the internet’s aesthetic. (The New Yorker $)
10 Elon Musk has lost his trillionaire status
Thanks to SpaceX stock coming back to Earth. (Business Insider)
Quote of the day
“Tom Brown is not being a weirdo like Dario and can actually engage.”
—A person directly familiar with calls between the Trump administration and Anthropic tells Wired that they’ve improved since cofounder Tom Brown replaced CEO Dario Amodei in the talks.
One More Thing
The quest to learn if our brain’s mutations affect mental health
For years, scientists searching for the roots of conditions like schizophrenia, autism, and Alzheimer’s have focused on single genes. But the real source may lie in a more complex genetic puzzle inside the brain.
Mike McConnell has spent decades exploring the idea that neurons do not all share identical DNA, and that these differences could help explain psychiatric disease. His work has contributed to evidence that brain cells can form a “genetic mosaic,” with mutations that vary across the brain.
Discover how this could reshape our understanding of mental illness.
—Roxanne Khamsi
We can still have nice things
A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)
+ This classical reimagining of the Super Mario soundtrack is exquisite.
+ At long last, we can calculate the fuel efficiency of launching our enemies into the Sun.
+ Before CGI, explosions were an art form. This compilation of classic practical effects is pure action-movie nostalgia.
+ Cambridge botanists lovingly recreated a 336-year-old garden to honor the “father of natural history.” (Big thanks to reader Peter Ryan for the find!)
It’s been hard to look away from headlines about the European heat wave this week. Temperatures are breaking records across the continent, and the weather is threatening lives, shutting down schools, and in one particularly ironic case, forcing the cancellation of a London Climate Action Week event about extreme heat.
As the summer ramps up and we see this kind of weather sweep around the Northern Hemisphere, I’m always keeping my eye on the power grid. And one notable update that caught my attention this week was news that a nuclear power plant in the south of France had to close down because of the heat.
Climate change is squeezing the grid from all sides, affecting both supply and demand. Heat can affect power availability, from generation to transmission infrastructure, as I covered in my latest story. But climate change is also helping push electricity use higher—and countries in Europe and around the world will need to adapt.
In the US, nearly 90% of homes have air-conditioning. That means many grids see their highest demand in the summer months, and the risk of brownouts and blackouts is at its worst.
People are often quick to cast air-conditioning as a villain, and it’s true that the technology will account for a major chunk of the globe’s rising energy demand in the future. But the reality is that heat waves can be incredibly dangerous, and as climate change pushes temperatures higher, that risk is becoming more real in parts of the world that haven’t historically had to worry quite so much about heat.
In Europe, air-conditioning is historically much less common, with about 20% of homes across the continent using it. Some countries, including those getting hit by this heat wave, have even lower rates—the UK comes in at about 5%, and Germany is around 3%.
But those numbers are starting to tick up as people adapt to increasingly brutal summers. As they do, we should expect higher electricity demand, and stress for the grid—just as in the US. And utilities often have to look across borders to buy more power, driving prices up for everyone.
“The main pressure comes from a triple squeeze: Cooling demand rises sharply, while power plants and grids become less efficient, and some thermal and nuclear plants must cut output because cooling water is too warm or scarce,” says Simone Tagliapietra, senior fellow at Bruegel, an economic and policy think tank, via email.
Grid planning in the age of climate change generally means that we need a lot more supply, and quickly. But one interesting facet to this challenge is that in some places, seasonal patterns are shifting, compounding the difficulty of meeting demand.
Generally, grid operators plan maintenance and outages at power plants around expected peaks in demand. Take nuclear power, for example. In the US, planned outages for maintenance and refueling tend to come in the spring and fall when demand falls below the summer and slightly smaller winter peaks.
Europe, however, has historically seen its grid peak in the winter, because electric heating is more common than air-conditioning. So some planned outages happen in the spring and into the summer, which is affecting the supply right now.
At the Golfech power plant near Toulouse in France, for example, unit two had to shut down this week because of the water temperatures in the nearby river, which is used to cool the reactor. But unit one was already offline because of planned maintenance and refueling, according to EDF, the plant’s operator.
We’re going to continue to see record-high temperatures around the world because of climate change. Communities are adapting, and utilities will have to follow. And if you thought this summer was hot, just wait until next year. With the El Niño weather pattern, 2027 could very well blow these heat waves out of the water.
This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.
IBM has built a new prototype chip with around 100 billion transistors on an area the size of a fingernail, which is twice the density of the company’s previous state-of-the-art technology announced in 2021. The design could pave the way for faster and more energy efficient computers for years to come.
For more than half a century, chipmakers have been able to make ever more powerful computers by following the key principle of Moore’s Law: Cram more transistors onto the chip. To do this, they shrank transistors—the tiny switches that perform computations—to incrementally smaller sizes. But in the last 15 years, transistors have gotten close to the point where quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller.
So to fit more transistors on a chip, engineers across the industry are eyeing a pivot to an approach familiar to urban planners: build up. On Thursday, IBM announced it has created a chip that uses this strategy. The new architecture, known as a nanostack, vertically stacks transistors in two layers on a silicon chip.
“It’s not just an incremental step,” Jay Gambetta, the director of IBM Research, said during a press conference on Tuesday. “It’s a meaningful leap forward.” Within a decade, Gambetta expects, chips with nanostacking will be widely used in data centers, where their improved efficiency could help the facilities better manage their energy consumption.
“Absolutely, it’s transformational,” says Dan Hutcheson, vice chair of TechInsights, a technology analysis company. “This puts another 10, 15 years on the roadmap.”
Compared with IBM’s previous state-of-the-art architecture, the company reports, chips built with this new approach can do as much as 50% more work in the same amount of time and be up to 70% more energy efficient.
The architecture offers a general way of laying out transistors, and IBM will partner with semiconductor manufacturers to make the actual chips. It anticipates that chip designers will deploy the design in many different types of chips, including GPUs and CPUs. “I expect to have many conversations with designers about how they can use this technology,” Huiming Bu, IBM’s vice president of global semiconductor R&D, said in the press conference announcing the new design.
A layer cake
Engineers created IBM’s new chip layer by layer, like a cake. They start by fabricating transistors on one layer of silicon. Then they place a silicon layer on top of these devices, and they fabricate another layer of transistors directly on top of that. Finally, they create the electrical connections between the two layers of transistors. This kind of vertical stack, which combines two types of transistors, is known as a complementary field-effect transistor, or CFET, explains Qing Cao, a professor of materials science and engineering at the University of Illinois at Urbana-Champaign, who was not involved with the work.
The company isn’t the only one pursuing this general approach. The biggest chip manufacturers—Intel, Samsung, and TSMC—and the competing research lab Imec in Belgium have been investigating CFETs. IBM says its design is distinguished by the fact that the transistors in the second layer do not sit directly on top of the first layer’s transistors; rather, they are staggered, which the company says simplifies wiring, among other advantages.
CFETs like those in IBM’s nanostack architecture contrast with another common approach to making two-tiered chips, such as AMD’s 3D V-Cache and Huawei’s forthcoming LogicFolding technology, Cao says. In those approaches, engineers fabricate the transistors on each layer of the chip independently before bonding the two together. IBM’s new method allows for more precise alignment of the layers, which is important for performance because transistors are so tiny, says Cao.
Nanostacking builds on an approach called nanosheet technology, which has been used to make current state-of-the-art transistors since around 2022. A transistor is essentially a hose through which electrons flow, with a valve that can turn the flow on or off. Inside the transistor, electrons move through a patch of the silicon called a channel. In IBM’s nanostack approach, the channel consists of three nanosheets that are each 15 atoms thick, spaced nine nanometers apart.
Every chip generation gets a name. IBM refers to its nanostack technology as “sub-nanometer” or “0.7 nanometer,” following a longtime industry convention where each generation is named for a smaller and smaller length. But “0.7 nanometer” is a marketing term and does not correspond to any physical characteristics of the chip. The distance between transistors “has been staying at about 40 nanometers for quite a long period of time,” says Cao.
Putting it into production
Looking ahead, chipmakers can try increasing transistor density by building on more tiers, as Bu suggested in the press conference. However, they will face practical challenges, according to Cao. Manufacturing introduces errors, which means a certain number of chips are faulty upon creation. “Here you’re building another layer on top, so if either top layer or bottom layer fail, your entire chip is going to fail,” says Cao. The resulting failure rate will be higher than for single-layer chips, and that will be costly.
Another central challenge is what Cao calls “the thermal budget.” Essentially, it means that engineers need to figure out how to build each layer without melting the connections to the one underneath. This means keeping manufacturing processes below 400 °C. IBM figured out how to make the second stack at low enough temperature, although the company is mum about its methods.
Academics are also on the case. Cao’s group, for example, has created a method for stacking transistors layer by layer where the second layer is created with processes below 200 °C. They manage this by using a type of transistor known as the junctionless transistor, which can be created without a typically required step called doping—a process that injects non-silicon atoms into silicon to tune the material’s properties. Doping is usually the hottest part of fabricating transistors. Cao thinks from a thermal management perspective, his approach could be easier to scale up to multiple tiers, although his demonstration is just a proof of principle.
But Cao thinks IBM’s work is “transformative” because it demonstrates how to stack transistors “on a full wafer using a state‑of‑the‑art manufacturing line.” The new approach pushes the industry forward, he says: “I’m interested in what’s their killer application.”
Is Meta asking you to hand over more control of your Facebook ads than you’re comfortable with? Wondering which of its new AI tools you can actually trust, and which ones still need a human in the loop? In this article, you’ll discover how to use Facebook’s new AI-powered tools to change the way you […]
The post Facebook Ads: New Tools for Better Tracking, More Creative, and Faster Sales appeared first on Social Media Examiner.
Advertisers can now use a wider range of formats and get artificial intelligence assistance for their promotions.
Despite the recent Instagram breach, the company said 50% of its content review is done by artificial intelligence, and that number will grow by year’s end, per Axios.
Three founders from the artificial intelligence security startup will help to stress-test and improve Meta’s AI safety protocols.
