The option would enable you to keep watching Reels outside the app.
TransBnk has raised $25 million in a round led by Bessemer Venture Partners to digitize India’s corporate banking.
Read more Nvidia’s revenue hit $46.7 billion in the second quarter, a 56% increase compared to the same period last year.
Read more Google says Pixel Care+ provides a “higher level of coverage, service and peace of mind for Google hardware owners.”
Read more The company offers an AI voice assistant that helps 911 centers handle non-emergency calls.
Read more With Writing Help, users can get AI-generated suggestions that rewrite their messages in professional, funny, supportive, or rephrased way.
Read more Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry.
Using AI to improve our health and well-being is one of the areas scientists and researchers are most excited about. The last month has seen an interesting leap forward: The technology has been put to work designing new antibiotics to fight hard-to-treat conditions, and OpenAI and Anthropic have both introduced new limiting features to curb potentially harmful conversations on their platforms.
Unfortunately, not all the news has been positive. Doctors who overrely on AI to help them spot cancerous tumors found their detection skills dropped once they lost access to the tool, and a man fell ill after ChatGPT recommended he replace the salt in his diet with dangerous sodium bromide. These are yet more warning signs of how careful we have to be when it comes to using AI to make important decisions for our physical and mental states.
Across industries, enterprises are increasingly adopting an on-demand approach to compute, storage, and applications. They are favoring digital services that are faster to deploy, easier to scale, and better integrated with partner ecosystems. Yet, one critical pillar has lagged: the network. While software-defined networking has made inroads, many organizations still operate rigid, pre-provisioned networks. As applications become increasingly distributed and dynamic—including hybrid cloud and edge deployments—a programmable, on-demand network infrastructure can enhance and enable this new era.
From CapEx to OpEx: The new connectivity mindset
Another, practical concern is also driving this shift: the need for IT models that align cost with usage. Rising uncertainty about inflation, consumer spending, business investment, and global supply chains are just a few of the economic factors weighing on company decision-making. And chief information officers (CIOs) are scrutinizing capital-expenditure-heavy infrastructure more closely and increasingly adopting operating-expenses-based subscription models.
Instead of long-term circuit contracts and static provisioning, companies are looking for cloud-ready, on-demand network services that can scale, adapt, and integrate across hybrid environments. This trend is fueling demand for API-first network infrastructure connectivity that behaves like software, dynamically orchestrated and integrated into enterprise IT ecosystems. There has been such rapid interest, the global network API market is projected to surge from $1.53 billion in 2024 to over $72 billion in 2034.
In fact, McKinsey estimates the network API market could unlock between $100 billion and $300 billion in connectivity- and edge-computing-related revenue for telecom operators over the next five to seven years, with an additional $10 billion to $30 billion generated directly from APIs themselves.
“When the cloud came in, first there was a trickle of adoptions. And then there was a deluge,” says Rajarshi Purkayastha, VP of solutions at Tata Communications. “We’re seeing the same trend with programmable networks. What was once a niche industry is now becoming mainstream as CIOs prioritize agility and time-to-value.”
Programmable networks as a catalyst for innovation
Programmable subscription-based networks are not just about efficiency, they are about enabling faster innovation, better user experiences, and global scalability. Organizations are preferring API-first systems to avoid vendor lock-in, enable multi-vendor integration, and foster innovation. API-first approaches allow seamless integration across different hardware and software stacks, reducing operational complexity and costs.
With APIs, enterprises can provision bandwidth, configure services, and connect to clouds and edge locations in real time, all through automation layers embedded in their DevOps and application platforms. This makes the network an active enabler of digital transformation rather than a lagging dependency.
For example, Netflix—one of the earliest adopters of microservices—handles billions of API requests daily through over 500 microservices and gateways, supporting global scalability and rapid innovation. After a two-year transition period, it redesigned its IT structure and organized it using microservice architecture.
Elsewhere, Coca-Cola integrated its global systems using APIs, enabling faster, lower-cost delivery and improved cross-functional collaboration. And Uber moved to microservices with API gateways, allowing independent scaling and rapid deployment across markets.
In each case, the network had to evolve from being static and hardware-bound to dynamic, programmable, and consumption-based. “API-first infrastructure fits naturally into how today’s IT teams work,” says Purkayastha. “It aligns with continuous integration and continuous delivery/deployment (CI/CD) pipelines and service orchestration tools. That reduces friction and accelerates how fast enterprises can launch new services.”
Powering on-demand connectivity
Tata Communications deployed Network Fabric—its programmable platform that uses APIs to allow enterprise systems to request and adjust network resources dynamically—to help a global software-as-a-service (SaaS) company modernize how it manages network capacity in response to real-time business needs. As the company scaled its digital services worldwide, it needed a more agile, cost-efficient way to align network performance with unpredictable traffic surges and fast-changing user demands. With Tata’s platform, the company’s operations teams were able to automatically scale bandwidth in key regions for peak performance, during high-impact events like global software releases. And just as quickly scale down once demand normalized, avoiding unnecessary costs.
In another scenario, when the SaaS provider needed to run large-scale data operations between its US and Asia hubs, the network was programmatically reconfigured in under an hour; a process that previously required weeks of planning and provisioning. “What we delivered wasn’t just bandwidth, it was the ability for their teams to take control,” says Purkayastha. “By integrating our Network Fabric APIs into their automation workflows, we gave them a network that responds at the pace of their business.”
Barriers to transformation — and how to overcome them
Transforming network infrastructure is no small task. Many enterprises still rely on legacy multiprotocol label switching (MPLS) and hardware-defined wide-area network (WAN) architectures. These environments are rigid, manually managed, and often incompatible with modern APIs or automation frameworks. As with any organization, barriers can be both technical and internal, and legacy devices may not support programmable interfaces. Organizations are often siloed, meaning networks are managed separately to application and DevOps workflows.
Furthermore, CIOs face pressure for quick returns and may not even remain in the company long enough to oversee the process and results, making it harder to push for long-term network modernization strategies. “Often, it’s easier to address the low-hanging fruit rather than go after the transformation because decision-makers may not be around to see the transformation come to life,” says Purkayastha.
But quick fixes or workarounds may not yield the desired results; transformation is needed instead. “Enterprises have historically built their networks for stability, not agility,” says Purkayastha. “But now, that same rigidity becomes a bottleneck when applications, users, and workloads are distributed across the cloud, edge, and remote locations.”
Despite the challenges, there is a clear path forward, starting with overlay orchestration, well-defined API contracts, and security-first design. Instead of completely removing and replacing an existing system, many enterprises are layering APIs over existing infrastructure, enabling controlled migrations and real-time service automation.
“We don’t just help customers adopt APIs, we guide them through the operational shift it requires,” says Purkayastha. “We have blueprints for what to automate first, how to manage hybrid environments, and how to design for resilience.”
For some organizations, there will be resistance to the change initially. Fears of extra workloads, or misalliance with teams’ existing goals and objectives are common, as is the deeply human distrust of change. These can be overcome, however. “There are playbooks on what we’ve done earlier—learnings from transformation—which we share with clients,” says Purkayastha. “We also plan for the unknowns. We usually reserve 10% of time and resources just to manage unforeseen risks, and the result is an empowered organization to scale innovation and reduce operational complexity.”
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 entirely 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.
Introducing: the Security issue
It would be naïve to think we are going back to a world without AI. We’re not. But it’s only one of many urgent problems we need to address to build security and prosperity for coming generations.
The latest print issue of our magazine is all about our attempts to make the world more secure. From missiles. From asteroids. From the unknown. From threats both existential and trivial.
We’re also introducing three new columns in this issue, from some of our leading writers: The Algorithm, which covers AI; The Checkup, on biotech; and The Spark, on energy and climate. You’ll see these in future issues, and you can also subscribe online to get them in your inbox every week.
Here’s a taster of what else you can expect from this edition:
+ President Trump has proposed building an antimissile “golden dome” around the United States. But do cinematic spectacles actually enhance national security?
+ How two UFO hunting brothers became the go-to experts on America’s “mystery drone” invasion.
+ Both Taiwan’s citizens and external experts are worried that the protection afforded by its “silicon shield” is cracking. Read the full story.
+ How the humble pigeon paved the way for today’s advanced AI. Read the full story.
+ A group of Starlink terminal repair volunteers in Ukraine is keeping the country connected throughout the war. Read the full story.
MIT Technology Review Narrated: Cyberattacks by AI agents are coming
Agents are the talk of the AI industry—they’re capable of planning, reasoning, and executing complex tasks on your behalf. But the same sophisticated abilities that make agents helpful assistants could also make them powerful tools for conducting cyberattacks. They could readily be used to identify vulnerable targets, hijack their systems, and steal valuable data from unsuspecting victims.
At present, cybercriminals are not deploying AI agents to hack at scale. But researchers have demonstrated that agents are capable of executing complex attacks, and cybersecurity experts warn that we should expect to start seeing these types of attacks spilling over into the real world.
This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 The family of a teen who died by suicide is suing OpenAI
ChatGPT deterred Adam Raine from seeking help when he desperately needed it. (NYT $)
+ An AI chatbot told a user how to kill himself—but the company doesn’t want to “censor” it. (MIT Technology Review)
2 SpaceX finally successfully launched its Starship rocket
Which will come as a huge relief after previous failures. (CNBC)
+ It’s the 10th launch the spaceship has made. (WSJ $)
+ It managed to deploy satellites in space during the launch. (Bloomberg $)
3 Researchers are already leaving Meta’s AI lab
Two workers returned to OpenAI after less than a month. (Wired $)
4 China wants to triple its output of AI chips
Plants are working round the clock to increase their capacity. (FT $)
+ The country is also keen to repurpose NASA tech into a hypersonic drone mothership. (Fast Company $)
5 Elon Musk can’t get enough of Grok’s scantily-clad AI assistant
He frequently posts about ‘Ani’ and other sexualized AI cartoons on X. (Rolling Stone $)
6 Anthropic has settled its AI piracy lawsuit
A group of authors had accused it of copyright infringement. (The Verge)
+ The threat of $1 trillion damages could have ruined the company. (Wired $)
7 America’s electricity use is slowing
And the recent growth in coal usage is falling too. (Ars Technica)
+ In a first, Google has released data on how much energy an AI prompt uses. (MIT Technology Review)
8 Want to get hired straight out of college? Better work in AI.
While other graduates are struggling, newly-graduated AI experts are in demand. (WSJ $)
9 Older people in South Korea are finding companionship with robots
The Hydol robot is proving a hit among seniors. (Rest of World)
+ How cuddly robots could change dementia care. (MIT Technology Review)
10 Fans were betting on Taylor Swift’s engagement 
They’re cashing in from online prediction markets left, right and center. (WP $)
Quote of the day
“A lot of people in the AI team maybe feel things are too dynamic.”
—Chi-Hao Wu, a former AI specialist at Meta, explains to Insider why he and others have decided to leave the company.
One more thing
An AI chatbot told a user how to kill himself—but the company doesn’t want to “censor” it
For five months, Al Nowatzki had been talking to an AI girlfriend, “Erin,” on the platform Nomi. But earlier this year, those conversations took a disturbing turn: Erin told him to kill himself, and provided explicit instructions on how to do it.
Nowatzki had never had any intention of following Erin’s instructions—he’s a researcher who probes chatbots’ limitations and dangers. But out of concern for more vulnerable individuals, he exclusively shared with MIT Technology Review screenshots of his conversations and of subsequent correspondence with a company representative, who stated that the company did not want to “censor” the bot’s “language and thoughts.”
This is not the first time an AI chatbot has suggested that a user take violent action, including self-harm. But researchers and critics say that the bot’s explicit instructions—and the company’s response—are striking. Read the full story.
—Eileen Guo
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.)
+ The secret to finding that elusive perfect white t-shirt.
+ Interesting: a new Blade Runner TV series starring Michelle Yeoh is coming next year.
+ If you’ve ever wondered what happened to that suitcase you lost on vacation, there’s a decent chance it’s up for sale.
+ Down with junk mail!
When Jitender was a child in New Delhi, both his parents worked as manual scavengers—a job that involved clearing the city’s sewers of solid waste by hand. Now, he is among almost 200 contractors involved in the Delhi government’s effort to shift from this manual process to safer mechanical methods.
Although it has been outlawed since 1993, manual scavenging—the practice of extracting human excreta from toilets, sewers, or septic tanks—is still practiced widely in India. The work is usually done by people who belong to what are considered the lowest castes, known as the Scheduled Castes or Dalits. Not only is the job undignified, but it can be extremely dangerous: People who enter clogged sewers to clean them face the risk of asphyxiation from exposure to toxic gases like ammonia and methane. According to data presented in the Indian parliament, manual scavenging was responsible for more than 500 deaths between 2018 and 2023.
Several companies have emerged to offer alternatives at a wide range of technical complexity. For example, Genrobotics, based in Kerala, has developed the “Bandicoot Robot” (shown above), a mechanical scavenger that features robotic legs, night-vision cameras, and the ability to detect toxic gas. Researchers at the Indian Institute of Technology in Chennai have developed a robot for septic tanks that has a suction mechanism to pump out the slurry.
More than 220 Bandicoot robots have been deployed in India, says Vipin Govind, head of marketing and communications at Genrobotics. The company’s reach, he says, enables “even resource-constrained municipalities” to deploy the technology effectively.
Despite these technological options, a 2021 report by the Ministry of Social Justice & Empowerment found that there are still more than 58,000 manual scavengers across India. Independent observers say the numbers are even higher.
The machine that Jitender uses is mounted on a pickup truck and uses rotating rods, high-pressure streams of water, and a mechanical claw to break up blockages and remove debris. “Earlier, a sanitation worker would get into a sewer and clear the drain with some equipment, but now with these machines we just drop the nozzle into the drain and turn on the pump,” he says. But Vijay Shehriyar, part of the same Delhi initiative, explains that the machines have not entirely replaced manual scavenging in the city. “The manual cleaning is still employed at many places, especially in narrow lanes,” he says.
Bezwada Wilson, an activist who has long campaigned for the eradication of manual scavenging, explains that most of the drainage and sewage systems across the country are not well planned and were built without proper engineering oversight. Any solution would need to take into consideration all the resulting differences in infrastructure, he says: “It can’t be that you come up with an alternative and force it upon the drainage system without understanding its nature.”
Hamaad Habibullah is a freelance journalist based in New Delhi.