2025-12-16 23:00:00
Rolling out enterprise-grade AI means climbing two steep cliffs at once. First, understanding and implementing the tech itself. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising initiatives.
Psychological safety—feeling free to express opinions and take calculated risks without worrying about career repercussions1—is essential for successful AI adoption. In psychologically safe workspaces, employees are empowered to challenge assumptions and raise concerns about new tools without fear of reprisal. This is nothing short of a necessity when introducing a nascent and profoundly powerful technology that still lacks established best practices.
“Psychological safety is mandatory in this new era of AI,” says Rafee Tarafdar, executive vice president and chief technology officer at Infosys. “The tech itself is evolving so fast—companies have to experiment, and some things will fail. There needs to be a safety net.”
To gauge how psychological safety influences success with enterprise-level AI, MIT Technology Review Insights conducted a survey of 500 business leaders. The findings reveal high self-reported levels of psychological safety, but also suggest that fear still has a foothold. Anecdotally, industry experts highlight a reason for the disconnect between rhetoric and reality: while organizations may promote a safe to experiment message publicly, deeper cultural undercurrents can counteract that intent.
Building psychological safety requires a coordinated, systems-level approach, and human resources (HR) alone cannot deliver such transformation. Instead, enterprises must deeply embed psychological safety into their collaboration processes.
Key findings for this report include:
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.
2025-12-16 21:10:00
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.
The great AI hype correction of 2025
Some disillusionment was inevitable. When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire industry—and several world economies. Millions of people started talking to their computers, and their computers started talking back. We were enchanted, and we expected more.
Well, 2025 has been a year of reckoning. For a start, the heads of the top AI companies made promises they couldn’t keep. At the same time, updates to the core technology are no longer the step changes they once were.
To be clear, the last few years have been filled with genuine “Wow” moments. But this remarkable technology is only a few years old, and in many ways it is still experimental. Its successes come with big caveats. Read the full story to learn more about why we may need to readjust our expectations.
—Will Douglas Heaven
This story is part of our new Hype Correction package, a collection of stories designed to help you reset your expectations about what AI makes possible—and what it doesn’t. Check out the rest of the package here, and you can read more about why it’s time to reset our expectations for AI in the latest edition of the Algorithm, our weekly AI newsletter. Sign up here to make sure you receive future editions straight to your inbox.
Quantum navigation could solve the military’s GPS jamming problem
Since the 2022 invasion of Ukraine, thousands of flights have been affected by a far-reaching Russian campaign of using radio transmissions that jammed its GPS system.
The growing inconvenience to air traffic and risk of a real disaster have highlighted the vulnerability of GPS and focused attention on more secure ways for planes to navigate the gauntlet of jamming and spoofing, the term for tricking a GPS receiver into thinking it’s somewhere else.
One approach that’s emerging from labs is quantum navigation: exploiting the quantum nature of light and atoms to build ultra-sensitive sensors that can allow vehicles to navigate independently, without depending on satellites. Read the full story.
—Amos Zeeberg
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 The Trump administration has launched its US Tech Force program
In a bid to lure engineers away from Big Tech roles and straight into modernizing the government. (The Verge)
+ So, essentially replacing the IT workers that DOGE got rid of, then. (The Register)
2 Lawmakers are investigating how AI data centers affect electricity costs
They want to get to the bottom of whether it’s being passed onto consumers. (NYT $)
+ Calculating AI’s water usage is far from straightforward, too. (Wired $)
+ AI is changing the grid. Could it help more than it harms? (MIT Technology Review)
3 Ford isn’t making a large all-electric truck after all
After the US government’s support for EVs plummeted. (Wired $)
+ Instead, the F-150 Lightning pickup will be reborn as a plug-in hybrid. (The Information $)
+ Why Americans may be finally ready to embrace smaller cars. (Fast Company $)
+ The US could really use an affordable electric truck. (MIT Technology Review)
4 PayPal wants to become a bank in the US
The Trump administration is very friendly to non-traditional financial companies, after all. (FT $)
+ It’s been a good year for the crypto industry when it comes to banking. (Economist $)
5 A tech trade deal between the US and UK has been put on ice
America isn’t happy with the lack of progress Britain has made, apparently. (NYT $)
+ It’s a major setback in relations between the pair. (The Guardian)
6 Why does no one want to make the cure for dengue?
A new antiviral pill appears to prevent infection—but its development has been abandoned. (Vox)
7 The majority of the world’s glaciers are forecast to disappear by 2100
At a rate of around 3,000 per year. (New Scientist $)
+ Inside a new quest to save the “doomsday glacier”. (MIT Technology Review)
8 Hollywood is split over AI
While some filmmakers love it, actors are horrified by its inexorable rise. (Bloomberg $)
9 Corporate America is obsessed with hiring storytellers
It’s essentially a rehashed media relations manager role overhauled for the AI age. (WSJ $)
10 The concept of hacking existed before the internet
Just ask this bunch of teenage geeks. (IEEE Spectrum)
Quote of the day
“So the federal government deleted 18F, which was doing great work modernizing the government, and then replaced it with a clone? What is the point of all this?”
—Eugene Vinitsky, an assistant professor at New York University, takes aim at the US government’s decision to launch a new team to overhaul its approach to technology in a post on Bluesky.
One more thing
How DeepSeek became a fortune teller for China’s youth
As DeepSeek has emerged as a homegrown challenger to OpenAI, young people across the country have started using AI to revive fortune-telling practices that have deep roots in Chinese culture.
Across Chinese social media, users are sharing AI-generated readings, experimenting with fortune-telling prompt engineering, and revisiting ancient spiritual texts—all with the help of DeepSeek.
The surge in AI fortune-telling comes during a time of pervasive anxiety and pessimism in Chinese society. And as spiritual practices remain hidden underground thanks to the country’s regime, computers and phone screens are helping younger people to gain a sense of control over their lives. Read the full story.
—Caiwen Chen
We can still have nice things
A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)
+ Chess has been online as far back as the 1800s (no, really!) 
+ Jane Austen was born 250 years ago today. How well do you know her writing? ($)
+ Rob Reiner, your work will live on forever.
+ I enjoyed this comprehensive guide to absolutely everything you could ever want to know about New England’s extensive seafood offerings.
2025-12-16 20:29:04
Can I ask you a question: How do you feel about AI right now? Are you still excited? When you hear that OpenAI or Google just dropped a new model, do you still get that buzz? Or has the shine come off it, maybe just a teeny bit? Come on, you can be honest with me.
Truly, I feel kind of stupid even asking the question, like a spoiled brat who has too many toys at Christmas. AI is mind-blowing. It’s one of the most important technologies to have emerged in decades (despite all its many many drawbacks and flaws and, well, issues).
At the same time I can’t help feeling a little bit: Is that it?
If you feel the same way, there’s good reason for it: The hype we have been sold for the past few years has been overwhelming. We were told that AI would solve climate change. That it would reach human-level intelligence. That it would mean we no longer had to work!
Instead we got AI slop, chatbot psychosis, and tools that urgently prompt you to write better email newsletters. Maybe we got what we deserved. Or maybe we need to reevaluate what AI is for.
That’s the reality at the heart of a new series of stories, published today, called Hype Correction. We accept that AI is still the hottest ticket in town, but it’s time to re-set our expectations.
As my colleague Will Douglas Heaven puts it in the package’s intro essay, “You can’t help but wonder: When the wow factor is gone, what’s left? How will we view this technology a year or five from now? Will we think it was worth the colossal costs, both financial and environmental?”
Elsewhere in the package, James O’Donnell looks at Sam Altman, the ultimate AI hype man, through the medium of his own words. And Alex Heath explains the AI bubble, laying out for us what it all means and what we should look out for.
Michelle Kim analyzes one of the biggest claims in the AI hype cycle: that AI would completely eliminate the need for certain classes of jobs. If ChatGPT can pass the bar, surely that means it will replace lawyers? Well, not yet, and maybe not ever.
Similarly, Edd Gent tackles the big question around AI coding. Is it as good as it sounds? Turns out the jury is still out. And elsewhere David Rotman looks at the real-world work that needs to be done before AI materials discovery has its breakthrough ChatGPT moment.
Meanwhile, Garrison Lovely spends time with some of the biggest names in the AI safety world and asks: Are the doomers still okay? I mean, now that people are feeling a bit less scared about their impending demise at the hands of superintelligent AI? And Margaret Mitchell reminds us that hype around generative AI can blind us to the AI breakthroughs we should really celebrate.
Let’s remember: AI was here before ChatGPT and it will be here after. This hype cycle has been wild, and we don’t know what its lasting impact will be. But AI isn’t going anywhere. We shouldn’t be so surprised that those dreams we were sold haven’t come true—yet.
The more likely story is that the real winners, the killer apps, are still to come. And a lot of money is being bet on that prospect. So yes: The hype could never sustain itself over the short term. Where we’re at now is maybe the start of a post-hype phase. In an ideal world, this hype correction will reset expectations.
Let’s all catch our breath, shall we?
This story first appeared in The Algorithm, our weekly free newsletter all about AI. Sign up to read past editions here.
2025-12-16 18:00:00
In late September, a Spanish military plane carrying the country’s defense minister to a base in Lithuania was reportedly the subject of a kind of attack—not by a rocket or anti-aircraft rounds, but by radio transmissions that jammed its GPS system.
The flight landed safely, but it was one of thousands that have been affected by a far-reaching Russian campaign of GPS interference since the 2022 invasion of Ukraine. The growing inconvenience to air traffic and risk of a real disaster have highlighted the vulnerability of GPS and focused attention on more secure ways for planes to navigate the gauntlet of jamming and spoofing, the term for tricking a GPS receiver into thinking it’s somewhere else.
US military contractors are rolling out new GPS satellites that use stronger, cleverer signals, and engineers are working on providing better navigation information based on other sources, like cellular transmissions and visual data.
But another approach that’s emerging from labs is quantum navigation: exploiting the quantum nature of light and atoms to build ultra-sensitive sensors that can allow vehicles to navigate independently, without depending on satellites. As GPS interference becomes more of a problem, research on quantum navigation is leaping ahead, with many researchers and companies now rushing to test new devices and techniques. In recent months, the US’s Defense Advanced Research Projects Agency (DARPA) and its Defense Innovation Unit have announced new grants to test the technology on military vehicles and prepare for operational deployment.
Tracking changes
Perhaps the most obvious way to navigate is to know where you started and then track where you go by recording the speed, direction, and duration of travel. But while this approach, known in the field as inertial navigation, is conceptually simple, it’s difficult to do well; tiny uncertainties in any of those measurements compound over time and lead to big errors later on. Douglas Paul, the principal investigator of the UK’s Hub for Quantum Enabled Precision, Navigation & Timing (QEPNT), says that existing specialized inertial-navigation devices might be off by 20 kilometers after 100 hours of travel. Meanwhile, the cheap sensors commonly used in smartphones produce more than twice that level of uncertainty after just one hour.
“If you’re guiding a missile that flies for one minute, that might be good enough,” he says. “If you’re in an airliner, that’s definitely not good enough.”
A more accurate version of inertial navigation instead uses sensors that rely on the quantum behavior of subatomic particles to more accurately measure acceleration, direction, and time.
Several companies, like the US-based Infleqtion, are developing quantum gyroscopes, which track a vehicle’s bearing, and quantum accelerometers, which can reveal how far it’s traveled. Infleqtion’s sensors are based on a technique called atom interferometry: A beam of rubidium atoms is zapped with precise laser pulses, which split the atoms into two separate paths. Later, other laser pulses recombine the atoms, and they’re measured with a detector. If the vehicle has turned or accelerated while the atoms are in motion, the two paths will be slightly out of phase in a way the detector can interpret.
Last year the company trialed these inertial sensors on a customized plane flying at a British military testing site. In October of this year, Infleqtion ran its first real-world test of a new generation of inertial sensors that use a steady stream of atoms instead of pulses, allowing for continuous navigation and avoiding long dead times.
Infleqtion also has an atomic clock, called Tiqker, that can help determine how far a vehicle has traveled. It is a kind of optical clock that uses infrared lasers tuned to a specific frequency to excite electrons in rubidium, which then release photons at a consistent, known rate. The device “will lose one second every 2 million years or so,” says Max Perez, who oversees the project, and it fits in a standard electronics equipment rack. It has passed tests on flights in the UK, on US Army ground vehicles in New Mexico, and, in late October, on a drone submarine.
“Tiqker operated happily through these conditions, which is unheard-of for previous generations of optical clocks,” says Perez. Eventually the company hopes to make the unit smaller and more rugged by switching to lasers generated by microchips.
Magnetic fields
Vehicles deprived of satellite-based navigation are not entirely on their own; they can get useful clues from magnetic and gravitational fields that surround the planet. These fields vary slightly depending on the location, and the variations, or anomalies, are recorded in various maps. By precisely measuring the local magnetic or gravitational field and comparing those values with anomaly maps, quantum navigation systems can track the location of a vehicle.
Allison Kealy, a navigation researcher at Swinburne University in Australia, is working on the hardware needed for this approach. Her team uses a material called nitrogen-vacancy diamond. In NV diamonds, one carbon atom in the lattice is replaced with a nitrogen atom, and one neighboring carbon atom is removed entirely. The quantum state of the electrons at the NV defect is very sensitive to magnetic fields. Carefully stimulating the electrons and watching the light they emit offers a way to precisely measure the strength of the field at the diamond’s location, making it possible to infer where it’s situated on the globe.
Kealy says these quantum magnetometers have a few big advantages over traditional ones, including the fact that they measure the direction of the Earth’s magnetic field in addition to its strength. That additional information could make it easier to determine location.
The technology is far from commercial deployment, but Kealy and several colleagues successfully tested their magnetometer in a set of flights in Australia late last year, and they plan to run more trials this year and next. “This is where it gets exciting, as we transition from theoretical models and controlled experiments to on-the-ground, operational systems,” she says. “This is a major step forward.”
Delicate systems
Other teams, like Q-CTRL, an Australian quantum technology company, are focusing on using software to build robust systems from noisy quantum sensors. Quantum navigation involves taking those delicate sensors, honed in the placid conditions of a laboratory, and putting them in vehicles that make sharp turns, bounce with turbulence, and bob with waves, all of which interferes with the sensors’ functioning. Even the vehicles themselves present problems for magnetometers, especially “the fact that the airplane is made of metal, with all this wiring,” says Michael Biercuk, the CEO of Q-CTRL. “Usually there’s 100 to 1,000 times more noise than signal.”
After Q-CTRL engineers ran trials of their magnetic navigation system in a specially outfitted Cessna last year, they used machine learning to go through the data and try to sift out the signal from all the noise. Eventually they found they could track the plane’s location up to 94 times as accurately as a strategic-grade conventional inertial navigation system could, according to Biercuk. They announced their findings in a non-peer-reviewed paper last spring.
In August Q-CTRL received two contracts from DARPA to develop its “software-ruggedized” mag-nav product, named Ironstone Opal, for defense applications. The company is also testing the technology with commercial partners, including the defense contractors Northrop Grumman and Lockheed Martin and Airbus, an aerospace manufacturer.
“Northrop Grumman is working with Q-CTRL to develop a magnetic navigation system that can withstand the physical demands of the real world,” says Michael S. Larsen, a quantum systems architect at the company. “Technology like magnetic navigation and other quantum sensors will unlock capabilities to provide guidance even in GPS-denied or -degraded environments.”
Now Q-CTRL is working on putting Ironstone Opal into a smaller, more rugged container appropriate for deployment; currently, “it looks like a science experiment because it is a science experiment,” says Biercuk. He anticipates delivering the first commercial units next year.
Sensor fusion
Even as quantum navigation emerges as a legitimate alternative to satellite-based navigation, the satellites themselves are improving. Modern GPS III satellites include new civilian signals called L1C and L5, which should be more accurate and harder to jam and spoof than current signals. Both are scheduled to be fully operational later this decade.
US and allied military users are intended to have access to far hardier GPS tools, including M-code, a new form of GPS signal that is rolling out now, and Regional Military Protection, a focused GPS beam that will be restricted to small geographic areas. The latter will start to become available when the GPS IIIF generation of satellites is in orbit, with the first scheduled to go up in 2027. A Lockheed Martin spokesperson says new GPS satellites with M-code are eight times as powerful as previous ones, while the GPS IIIF model will be 60 times as strong.
Other plans involve using navigation satellites in low Earth orbit—the zone inhabited by SpaceX’s internet-providing Starlink constellation—rather than the medium Earth orbit used by GPS. Since objects in LEO are closer to Earth, their signals are stronger, which makes them harder to jam and spoof. LEO satellites also transit the sky more quickly, which makes them harder still to spoof and helps GPS receivers get a lock on their position faster. “This really helps for signal convergence,” says Lotfi Massarweh, a satellite navigation researcher at Delft University of Technology, in the Netherlands. “They can get a good position in just a few minutes. So that is a huge leap.”
Ultimately, says Massarweh, navigation will depend not only on satellites, quantum sensors, or any other single technology, but on the combination of all of them. “You need to think always in terms of sensor fusion,” he says.
The navigation resources that a vehicle draws on will change according to its environment—whether it’s an airliner, a submarine, or an autonomous car in an urban canyon. But quantum navigation will be one important resource. He says, “If quantum technology really delivers what we see in the literature—if it’s stable over one week rather than tens of minutes—at that point it is a complete game changer.”
2025-12-15 23:00:00
When the ABB FIA Formula E World Championship launched its first race through Beijing’s Olympic Park in 2014, the idea of all-electric motorsport still bordered on experimental. Batteries couldn’t yet last a full race, and drivers had to switch cars mid-competition. Just over a decade later, Formula E has evolved into a global entertainment brand broadcast in 150 countries, driving both technological innovation and cultural change in sport.
“Gen4, that’s to come next year,” says Dan Cherowbrier, Formula E’s chief technology and information officer. “You will see a really quite impressive car that starts us to question whether EV is there. It’s actually faster—it’s actually more than traditional [internal combustion engines] ICE.”
That acceleration isn’t just happening on the track. Formula E’s digital transformation, powered by its partnership with Infosys, is redefining what it means to be a fan. “It’s a movement to make motor sport accessible and exciting for the new generation,” says principal technologist at Infosys, Rohit Agnihotri.
From real-time leaderboards and predictive tools to personalized storylines that adapt to what individual fans care most about—whether it’s a driver rivalry or battery performance—Formula E and Infosys are using AI-powered platforms to create fan experiences as dynamic as the races themselves. “Technology is not just about meeting expectations; it’s elevating the entire fan experience and making the sport more inclusive,” says Agnihotri.
AI is also transforming how the organization itself operates. “Historically, we would be going around the company, banging on everyone’s doors and dragging them towards technology, making them use systems, making them move things to the cloud,” Cherowbrier notes. “What AI has done is it’s turned that around on its head, and we now have people turning up, banging on our door because they want to use this tool, they want to use that tool.”
As audiences diversify and expectations evolve, Formula E is also a case study in sustainable innovation. Machine learning tools now help determine the most carbon-optimal way to ship batteries across continents, while remote broadcast production has sharply reduced travel emissions and democratized the company’s workforce. These advances show how digital intelligence can expand reach without deepening carbon footprints.
For Cherowbrier, this convergence of sport, sustainability, and technology is just the beginning. With its data-driven approach to performance, experience, and impact, Formula E is offering a glimpse into how entertainment, innovation, and environmental responsibility can move forward in tandem.
“Our goal is clear,” says Agnihotri. “Help Formula E be the most digital and sustainable motor sport in the world. The future is electric, and with AI, it’s more engaging than ever.”
This episode of Business Lab is produced in partnership with Infosys.
Full Transcript:
Megan Tatum: From MIT Technology Review, I’m Megan Tatum, and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab, and into the marketplace.
The ABB FIA Formula E World Championship, the world’s first all-electric racing series, made its debut in the grounds of the Olympic Park in Beijing in 2014. A little more than 10 years later, it’s a global entertainment brand with 10 teams, 20 drivers, and broadcasts in 150 countries. Technology is central to how Formula E is navigating that scale and to how it’s delivering more powerful personalized experiences.
Two words for you: elevated fandom.
My guests today are Rohit Agnihotri, principal technologist at Infosys, and Dan Cherowbrier, CTIO of Formula E.
This episode is produced in partnership with Infosys.
Welcome, Rohit and Dan.
Dan Cherowbrier: Hi. Thanks for having us.
Megan: Dan, as I mentioned there, the first season of the ABB FIA Formula E World Championship launched in 2014. Can you talk us through how the first all-electric motor sport has evolved in the last decade? How has it changed in terms of its scale, the markets it operates in, and also, its audiences, of course?
Dan: When Formula E launched back in 2014, there were hardly any domestic EVs on the road. And probably if you’re from London, the ones you remember are the hybrid Priuses; that was what we knew of really. And at the time, they were unable to get a battery big enough for a car to do a full race. So the first generation of car, the first couple of seasons, the driver had to do a pit stop midway through the race, get out of one car, and get in another car, and then carry on, which sounds almost farcical now, but it’s what you had to do then to drive innovation, is to do that in order to go to the next stage.
Then in Gen2, that came up four years later, they had a battery big enough to start full races and start to actually make it a really good sport. Gen3, they’re going for some real speeds and making it happen. Gen4, that’s to come next year, you’ll see acceleration in line with Formula One. I’ve been fortunate enough to see some of the testing. You will see a really quite impressive car that starts us to question whether EV is there. It’s actually faster, it’s actually more than traditional ICE.
That’s the tech of the car. But then, if you also look at the sport and how people have come to it and the fans and the demographic of the fans, a lot has changed in the last 11 years. We were out to enter season 12. In the last 11 years, we’ve had a complete democratization of how people access content and what people want from content. And as a new generation of fan coming through. This new generation of fan is younger. They’re more gender diverse. We have much closer to 50-50 representation in our fan base. And they want things personalized, and they’re very demanding about how they want it and the experience they expect. No longer are you just able to give them one race and everybody watches the same thing. We need to make things for them. You see that sort of change that’s come through in the last 11 years.
Megan: It’s a huge amount of change in just over a decade, isn’t it? To navigate. And I wonder, Rohit, what was the strategic plan for Infosys when associating with Formula E? What did Infosys see in partnering with such a young sport?
Rohit: Yeah. That’s a great question, Megan. When we looked at Formula E, we didn’t just see a racing championship. We saw the future. A sport, that’s electric, sustainable, and digital first. That’s exactly where Infosys wants to be, at the intersection of technology, innovation, and purpose. Our plan has three big goals. First, grow the fan base. Formula E wants to reach 500 million fans by 2030. That is not just a number. It’s a movement to make motor sport accessible and exciting for the new generation. To make that happen, we are building an AI-powered platform that gives personalized content to the fans, so that every fan feels connected and valued. Imagine a fan in Tokyo getting race insights tailored for their favorite driver, while another in London gets a sustainability story that matters to him. That’s the level of personalization we are aiming for.
Second, bringing technology innovation. We have already launched the Stats Centre, which turns race data into interactive stories. And soon, Race Centre will take this to the next level with real time leaderboards to the race or tracks, overtakes, attack mode timelines, and even AI generated live commentary. Fans will not just watch, they will interact, predict podium finishes, and share their views globally. And third, supports sustainability. Formula E is already net-zero, but now their goal is to cut carbon by 45% by 2030. We’ll be enabling that through AI-driven sustainability, data management, tracking every watt of energy, every logistics decision. and modeling scenarios to make racing even greener. Partnering with a young sport gives us a chance to shape its digital future and show how technology can make racing exciting and responsible. For us, Formula E is not just a sport, it’s a statement about where the world is headed.
Megan: Fantastic. 500 million fans, that’s a huge number, isn’t it? And with more scale often comes a kind of greater expectation. Dan, I know you touched on this a little in your first question, but what is it that your fans now really want from their interactions? Can you talk a bit more about what experiences they’re looking for? And also, how complex that really is to deliver that as well?
Dan: I think a really telling thing about the modern day fan is I probably can’t tell you what they want from their experiences, because it’s individual and it’s unique for each of them.
Megan: Of course.
Dan: And it’s changing and it’s changing so fast. What somebody wants this month is going to be different from what they want in a couple of months’ time. And we’re having to learn to adapt to that. My CTO title, we often put focus on the technology in the middle of it. That’s what the T is. Actually, if you think about it, it’s continual transformation officer. You are constantly trying to change what you deliver and how you deliver it. Because if fans come through, they find new experiences, they find that in other sports. Sometimes not in sports, they find it outside, and then they’re coming in, and they expect that from you. So how can we make them more part of the sport, more personalized experience, get to know the athletes and the personalities and the characters within it? We’re a very technology centric sport. A lot of motor sport is, but really, people want to see people, right? And even when it’s technology, they want to see people interacting with technology, and it’s how do you get that out to show people.
Megan: Yeah, it’s no mean feat. Rohit, you’ve worked with brands on delivering these sort of fan experiences across different sports. Is motor sports perhaps more complicated than others, given that fans watch racing for different reasons than just a win? They could be focused on team dynamics, a particular driver, the way the engine is built, and so on and so forth. How does motor sports compare and how important is it therefore, that Formula E has embraced technology to manage expectations?
Rohit: Yeah, that’s an interesting point. Motor sports are definitely more complex than other sports. Fans don’t just care about who wins, they care about how some follow team strategies, others love driver rivalries, and many are fascinated by the car technology. Formula E adds another layer, sustainability and electric innovation. This makes personalization really important. Fans want more than results. They want stories and insights. Formula E understood this early and embraced technology.
Think about the data behind a single race, lap times, energy usage, battery performance, attack mode activation, pit strategies, it’s a lot of data. If you just show the raw numbers, it’s overwhelming. But with Infosys Topaz, we turn that into simple and engaging stories. Fans can see how a driver fought back from 10th place to finish on the podium, or how a team managed energy better to gain an edge. And for new fans, we are adding explainer videos and interactive tools in the Race Center, so that they can learn about their sport easily. This is important because Formula E is still young, and many fans are discovering it for the first time. Technology is not just about meeting expectations; it’s elevating the entire fan experience and making the sport more inclusive.
Megan: There’s an awful lot going on there. What are some of the other ways that Formula E has already put generative AI and other emerging technologies to use? Dan, when we’ve spoken about the demand for more personalized experiences, for example.
Dan: I see the implementation of AI for us in three areas. We have AI within the sport. That’s in our DNA of the sport. Now, each team is using that, but how can we use that as a championship as well? How do we make it a competitive landscape? Now, we have AI that is in the fan-facing product. That’s what we’re working heavily on Infosys with, but we also have it in our broadcast product. As an example, you might have heard of a super slow-mo camera. A super slow-mo camera is basically, by taking three cameras and having them in exactly the same place so that you get three times the frame rate, and then you can do a slow-motion shot from that. And they used to be really expensive. Quite bulky cameras to put in. We are now using AI to take a traditional camera and interpolate between two frames to make it into a super slow image, and you wouldn’t really know the difference. Now, the joy of that, it means every camera can now be a super slow-mo camera.
Megan: Wow.
Dan: In other ways, we use it a little bit in our graphics products, and we iterate and we use it for things like showing driver audio. When the driver is speaking to his engineer or her engineer in the garage, we show that text now on screen. We do that using AI. We use AI to pick out the difference between the driver and another driver and the team engineer or the team principal and show that in a really good way.
And we wouldn’t be able to do that. We’re not big enough to have a team of 24 people on stenographers typing. We have to use AI to be able to do that. That’s what’s really helped us grow. And then the last one is, how we use it in our business. Because ultimately, as we’ve got the fans, we’ve got the sport, but we also are running a business and we have to pick up these racetracks and move them around the world, and we have all these staff who have to get places. We have insurance who has to do all that kind of stuff, and we use it heavily in that area, particularly when it comes to what has a carbon impact for us.
So things like our freight and our travel. And we are using the AI tools to tell us, a battery for instance, should we fly it? Should we send it by sea freight? Should we send it by row freight? Or should we just have lots of them? And that sort of depends. Now, a battery, if it was heavy, you’d think you probably wouldn’t fly it. But actually, because of the materials in it, because of the source materials that make it, we’re better off flying it. We’ve used AI to work through all those different machinations of things that would be too difficult to do at speed for a person.
Megan: Well, sounds like there’s some fascinating things going on. I mean, of course, for a global brand, there is also the challenge of working in different markets. You mentioned moving everything around the world there. Each market with its own legal frameworks around data privacy, AI. How has technology also helped you navigate all of that, Dan?
Dan: The other really interesting thing about AI is… I’ve worked in technology leadership roles for some time now. And historically, we would be going around the company, banging on everyone’s doors and dragging them towards technology, making them use systems, making them move things to the cloud and things like that. What AI has done is it’s turned that around on its head, and we now have people turning up, banging on our door because they want to use this tool, they want to use that tool. And we’re trying to accommodate all of that and it’s a great pleasure to see people that are so keen. AI is driving the tech adoption in general, which really helps the business.
Megan: Dan, as the world’s first all-electric motor sport series, sustainability is obviously a real cornerstone of what Formula E is looking to do. Can you share with us how technology is helping you to achieve some of your ambitions when it comes to sustainability?
Dan: We’ve been the only sport with a certified net-zero pathway, and we have to stay that part. It’s a really core fundamental part of our DNA. I sit on our management team here. There is a sustainability VP that sits there as well, who checks and challenges everything we do. She looks at the data centers we use, why we use them, why we’ve made the decisions we’ve made, to make sure that we’re making them all for the right reasons and the right ways. We specifically embed technology in a couple of ways. One is, we mentioned a little bit earlier, on our freight. Formula E’s freight for the whole championship is probably akin to one Formula One team, but it’s still by far, our biggest contributor to our impact. So we look about how we can make sure that we’ve refined that to get the minimum amount of air freight and sea freight, and use local wherever we can. That’s also part of our pledge about investing in the communities that we race in.
The second then is about our staff travel. And we’ve done a really big piece of work over the last four to five years, partly accelerated through the covid-19 era actually, of doing remote working and remote TV production. Used to be traditionally, you would fly a hundred plus people out to racetracks, and then they would make the television all on site in trucks, and then they would be satellite distributed out of the venue. Now, what we do is we put in some internet connections, dual and diverse internet connections, and we stream every single camera back.
Megan: Right.
Dan: That means on site, we only need camera operators. Some of them actually, are remotely operated anyway, but we need camera operators, and then some engineering teams to just keep everything running. And then back in our home base, which is in London, in the UK, we have our remote production center where we layer on direction, graphics, audio, replay, team radio, all of those bits that break the color and make the program and add to that significant body of people. We do that all remotely now. Really interesting actually, a bit. So that’s the carbon sustainability story, but there is a further ESG piece that comes out of it and we haven’t really accommodated when we went into it, is the diversity in our workforce by doing that. We were discovering that we had quite a young, equally diverse workforce until around the age of 30. And then once that happened, then we were finding we were losing women, and that’s really because they didn’t want to travel.
Megan: Right.
Dan: And that’s the age of people starting to have children, and things were starting to change. And then we had some men that were traveling instead, and they weren’t seeing their children and it was sort of dividing it unnecessarily. But by going remote, by having so much of our people able to remotely… Or even if they do have to travel, they’re not traveling every single week. They’re now doing that one in three. They’re able to maintain the careers and the jobs they want to do, whilst having a family lifestyle. And it also just makes a better product by having people in that environment.
Megan: That’s such an interesting perspective, isn’t it? It’s a way of environmental sustainability intersects with social sustainability. And Rohit, and your work are so interesting. And Rohit, can you share any of the ways that Infosys has worked with Formula E, in terms of the role of technology as we say, in furthering those ambitions around sustainability?
Rohit: Yeah. Infosys understands that sustainability is at the heart of Formula E, and it’s a big part of why this partnership matters. Formula E is already net-zero certified, but now, they have an ambitious goal to cut carbon emissions by 45%. Infosys is helping in two ways. First, we have built AI-powered sustainability data tools that make carbon reporting accurate and traceable. Every watt of energy, every logistic decision, every material use can be tracked. Second, we use predictive analytics to model scenarios, like how changing race logistics or battery technology impact emissions so Formula E can make smarter, greener decisions. For us, it’s about turning sustainability from a report into an action plan, and making Formula E a global leader in green motor sport.
Megan: And in April 2025, Formula E working with Infosys launched its Stats Centre, which provides fans with interactive access to the performances of their drivers and teams, key milestones and narratives. I know you touched on this before, but I wonder if you could tell us a bit more about the design of that platform, Rohit, and how it fits into Formula E’s wider plans to personalize that fan experience?
Rohit: Sure. The Stats Centre was a big step forward. Before this, fans had access to basic statistics on the website and the mobile app, but nothing told the full story and we wanted to change that. Built on Infosys Topaz, the Stats Centre uses AI to turn race data into interactive stories. Fans can explore key stat cards that adapt to race timelines, and even chat with an AI companion to get instant answers. It’s like having a person race analyst at your fingertips. And we are going further. Next year, we’ll launch Race Centre. It’ll have live data boards, 2D track maps showing every driver’s position, overtakes and more attack timelines, and AI-generated commentary. Fans can predict podium finishes, vote for the driver of the race, and share their views on social media. Plus, we are adding video explainers for new fans, covering rules, strategies, and car technology. Our goal is simple: make every moment exciting and easy to understand. Whether you are a hardcore fan or someone watching Formula E for the first time, you’ll feel connected and informed.
Megan: Fantastic. Sounds brilliant. And as you’ve explained, Dan, leveraging data and AI can come with these huge benefits when it comes to the depth of fan experience that you can deliver, but it can also expose you to some challenges. How are you navigating those at Formula E?
Dan: The AI generation has presented two significant challenges to us. One is that traditional SEO, traditional search engine optimization, goes out the window. Right? You are now looking at how do we design and build our systems and how do we populate them with the right content and the right data, so that the engines are picking it up correctly and displaying it? The way that the foundational models are built and the speed and the cadence of which they’re updated, means quite often… We’re a very fast-changing organization. We’re a fast-changing product. Often, the models don’t keep up. And that’s because they are a point in time when they were trained. And that’s something that the big organizations, the big tech organizations will fix with time. But for now, what we have to do is we have to learn about how we can present our fan-facing, web-facing products to show that correctly. That’s all about having really accurate first-party content, effectively earned media. That’s the piece we need to do.
Then the second sort of challenge is sadly, whilst these tools are available to all of us, and we are using them effectively, so are another part of the technology landscape, and that is the cybersecurity basically they come with. If you look at the speed of the cadence and severity of hacks that are happening now, it’s just growing and growing and growing, and that’s because they have access to these tools too. And we’re having to really up our game and professionalize. And that’s really hard for an innovative organization. You don’t want to shut everything down. You don’t want to protect everything too much because you want people to be able to try new things. Right? If I block everything to only things that the IT team had heard of, we’d never get anything new in, and it’s about getting that balance right.
Megan: Right.
Dan: Rohit, you probably have similar experiences?
Megan: How has Infosys worked with Formula E to help it navigate some of that, Rohit?
Rohit: Yeah. Infosys has helped Formula E tackle some of the challenges in three key ways, simplify complex race data into engaging fan experience through platforms like Stats Centre, building a secure and scalable cloud data backbone for the real-time insights, and enabling sustainability goals with AI-driven carbon tracking and predictive analytics. This solution makes the sport interactive, more digital, and more responsible.
Megan: Fantastic. I wondered if we could close with a bit of a future forward look. Can you share with us any innovations on the horizon at Formula E that you are really excited about, Dan?
Dan: We have mentioned the Race Centre is going to launch in the next couple of months, but the really exciting thing for me is we’ve got an amazing season ahead of us. It’s the last season of our Gen3 car, with 10 really exciting teams on the grid. We are going at speed with our tech innovation roadmap and what our fans want. And we’re building up towards our Gen4 car, which will come out for season 13 in a year’s time. That will get launched in 2026, and I think it will be a game changer in how people perceive electric motor sport and electric cars in general.
Megan: It sounds like there’s all sorts of exciting things going on. And Rohit too, what’s coming up via this partnership that you are really looking forward to sharing with everyone?
Rohit: Two things stand out for me. First is the AI-powered fan data platform that I’ve already spoken about. Second is the launch of Race Centre. It’s going to change how fans experience live racing. And beyond final engagement, we are helping Formula E lead in sustainability with AI tools that model carbon impact and optimize logistics. This means every race can be smarter and greener. Our goal is clear: help Formula E be the most digital and sustainable motor sport in the world. The future is electric, and with AI, it’s more engaging than ever.
Megan: Fantastic. Thank you so much, both. That was Rohit Agnihotri, principal technologist at Infosys, and Dan Cherowbrier, CITO of Formula E, whom I spoke with from Brighton, England.
That’s it for this episode of Business Lab. I’m your host, Megan Tatum. I’m a contributing editor and host for Insights, the custom publishing division of MIT Technology Review. We were founded in 1899 at the Massachusetts Institute of Technology, and you can find us in print, on the web and at events each year around the world. For more information about us and the show, please check out our website at technologyreview.com.
This show is available wherever you get your podcasts. And if you enjoyed this episode, we hope you’ll take a moment to rate and review us. Business Lab is a production of MIT Technology Review and this episode was produced by Giro Studios. Thanks for listening.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.
2025-12-15 21:10:00
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.
Introducing: the AI Hype Correction package
AI is going to reproduce human intelligence. AI will eliminate disease. AI is the single biggest, most important invention in human history. You’ve likely heard it all—but probably none of these things are true.
AI is changing our world, but we don’t yet know the real winners, or how this will all shake out.
After a few years of out-of-control hype, people are now starting to re-calibrate what AI is, what it can do, and how we should think about its ultimate impact.
Here, at the end of 2025, we’re starting the post-hype phase. This new package of stories, called Hype Correction, is a way to reset expectations—a critical look at where we are, what AI makes possible, and where we go next.
Here’s a sneak peek at what you can expect:
+ An introduction to four ways of thinking about the great AI hype correction of 2025.
+ While it’s safe to say we’re definitely in an AI bubble right now, what’s less clear is what it really looks like—and what comes after it pops. Read the full story.
+ Why OpenAI’s Sam Altman can be traced back to so many of the more outlandish proclamations about AI doing the rounds these days. Read the full story.
+ It’s a weird time to be an AI doomer. But they’re not giving up.
+ AI coding is now everywhere—but despite the billions of dollars being poured into improving AI models’ coding abilities, not everyone is convinced. Read the full story.
+ If we really want to start finding new kinds of materials faster, AI materials discovery needs to make it out of the lab and move into the real world. Read the full story.
+ Why reports of AI’s potential to replace trained human lawyers are greatly exaggerated.
+ Dr. Margaret Mitchell, chief ethics scientist at AI startup Hugging Face, explains why the generative AI hype train is distracting us from what AI actually is and what it can—and crucially, cannot—do. Read the full story.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 iRobot has filed for bankruptcy
The Roomba maker is considering handing over control to its main Chinese supplier. (Bloomberg $)
+ A proposed Amazon acquisition fell through close to two years ago. (FT $)
+ How the company lost its way. (TechCrunch)
+ A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook? (MIT Technology Review)
2 Meta’s 2025 has been a total rollercoaster ride
From its controversial AI team to Mark Zuckerberg’s newfound appreciation for masculine energy. (Insider $)
3 The Trump administration is giving the crypto industry a much easier ride
It’s dismissed crypto lawsuits involving many firms with financial ties to Trump. (NYT $)
+ Celebrities are feeling emboldened to flog crypto once again. (The Guardian)
+ A bitcoin investor wants to set up a crypto libertarian community in the Caribbean. (FT $)
4 There’s a new weight-loss drug in town
And people are already taking it, even though it’s unapproved. (Wired $)
+ What we still don’t know about weight-loss drugs. (MIT Technology Review)
5 Chinese billionaires are having dozens of US-born surrogate babies
An entire industry has sprung up to support them. (WSJ $)
+ A controversial Chinese CRISPR scientist is still hopeful about embryo gene editing. (MIT Technology Review)
6 Trump’s “big beautiful bill” funding hinges on states integrating AI into healthcare
Experts fear it’ll be used as a cost-cutting measure, even if it doesn’t work. (The Guardian)
+ Artificial intelligence is infiltrating health care. We shouldn’t let it make all the decisions. (MIT Technology Review)
7 Extreme rainfall is wreaking havoc in the desert
Oman and the UAE are unaccustomed to increasingly common torrential downpours. (WP $)
8 Data centers are being built in countries that are too hot for them
Which makes it a lot harder to cool them sufficiently. (Rest of World)
9 Why AI image generators are getting deliberately worse
Their makers are pursuing realism—not that overly polished, Uncanny Valley look. (The Verge)
+ Inside the AI attention economy wars. (NY Mag $)
10 How a tiny Swedish city became a major video game hub
Skövde has formed an unlikely community of cutting-edge developers. (The Guardian)
+ Google DeepMind is using Gemini to train agents inside one of Skövde’s biggest franchises. (MIT Technology Review)
Quote of the day
“They don’t care about the games. They don’t care about the art. They just want their money.”
—Anna C Webster, chair of the freelancing committee of the United Videogame Workers union, tells the Guardian why their members are protesting the prestigious 2025 Game Awards in the wake of major layoffs.
One more thing
Recapturing early internet whimsy with HTML
Websites weren’t always slick digital experiences.
There was a time when surfing the web involved opening tabs that played music against your will and sifting through walls of text on a colored background. In the 2000s, before Squarespace and social media, websites were manifestations of individuality—built from scratch using HTML, by users who had some knowledge of code.
Scattered across the web are communities of programmers working to revive this seemingly outdated approach. And the movement is anything but a superficial appeal to retro aesthetics—it’s about celebrating the human touch in digital experiences. Read the full story.
—Tiffany Ng
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 or skeet ’em at me.)
+ Here’s how a bit of math can help you wrap your presents much more neatly this year.
+ It seems that humans mastered making fire way, way earlier than we realized.
+ The Arab-owned cafes opening up across the US sound warm and welcoming.
+ How to give a gift the recipient will still be using and loving for decades to come.
