Canada’s central bank will approve only fiat-backed, high-quality stablecoins to ensure they are “good money” as part of the country’s plan to modernize its financial system.
Bitcoin price held above $85,000, but weakening spot BTC ETF flows and a disappointing end-of-year performance cast doubt on a December rally to $100,000.
The judge ruled Tesla should have to suspend manufacturing and sales in California for 30 days, but the DMV stayed those rulings for 90 days to allow Tesla to comply.
Read more Luminar says trouble with Volvo started as early as 2022, and that the Swedish automaker made — but then backed away from — large orders of its lidar sensors.
Read more On WikiFlix, a Netflix-inspired archive of public domain films, you can watch movies like “It’s a Wonderful Life” and “Nosferatu” for free.
Read more X’s new terms of service say that no one can use the Twitter name, trademarks, logos, and more without written consent.
Read more The delivery app has claimed that price testing is part of a longstanding practice in retail sales.
Read more 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:
- Companies with experiment-friendly cultures have greater success with AI projects. The majority of executives surveyed (83%) believe a company culture that prioritizes psychological safety measurably improves the success of AI initiatives. Four in five leaders agree that organizations fostering such safety are more successful at adopting AI, and 84% have observed connections between psychological safety and tangible AI outcomes.
- Psychological barriers are proving to be greater obstacles to enterprise AI adoption than technological challenges. Encouragingly, nearly three-quarters (73%) of respondents indicated they feel safe to provide honest feedback and express opinions freely in their workplace. Still, a significant share (22%) admit they’ve hesitated to lead an AI project because they might be blamed if it misfires.
- Achieving psychological safety is a moving target for many organizations. Fewer than half of leaders (39%) rate their organization’s current level of psychological safety as “very high.” Another 48%report a “moderate” degree of it. This may mean that some enterprises are pursuing AI adoption on cultural foundations that are not yet fully stable.
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.
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.
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.