The Download: China’s AI drama factory and the WHO’s missing health targets

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.

How Chinese short dramas became AI content machines

China’s short drama industry is fueled by bite-sized, melodramatic, and smutty shows built for smartphone scrolling. Now, many are being made entirely with AI: no actors, camera operators, cinematographers, or CGI specialists required.

An average of 470 AI-generated short dramas were released every day in January. Production timelines have shrunk from months to weeks, while costs have dropped by up to 90%. Storytelling is also increasingly driven by performance data.

The format is rapidly expanding overseas while reshaping the work of writers and production crews. Read the full story on AI’s dramatic impact on China’s short drama industry.

—Caiwei Chen

The world is on track to miss its health targets

The World Health Organization’s latest global statistics report reads less like a progress update than a warning sign. Progress on some of the world’s biggest health threats is stalling, and in some cases reversing altogether.

There were 1.3 million new HIV cases in 2024, malaria is resurging, vaccination rates are slipping in the Americas, and 42.8 million children are suffering from severe malnutrition. The world is now far off track from meeting many of the UN’s major health goals by 2030.

Here’s what the numbers reveal about the state of global health.

—Jessica Hamzelou

This story is from The Checkup, our weekly newsletter giving you the inside track on all things biotech. Sign up to receive it in your inbox every Thursday.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 As their trial goes to the jury, Musk and Altman face lying accusations
Lawyers hammered the rivals’ credibility in their closing arguments. (WSJ $) 
+ Musk was accused of “selective amnesia.” (Reuters $) 
+ The pair are in court over OpenAI’s future. (MIT Technology Review)
+ And their trial has made everyone look bad. (Wired $) 
 
2 AI data centers are straining America’s power grid
Nevada is redirecting electricity from Lake Tahoe to AI. (Ars Technica)
+ Utah is getting a giant data center despite water shortage fears. (Guardian)
+ No one wants a data center in their backyard. (MIT Technology Review)
 
3 OpenAI is mulling legal action against Apple over its ChatGPT integration
It hasn’t got the expected benefits from its deal with Apple. (Bloomberg $)
+ OpenAI is frustrated by the promotion of the ChatGPT integration. (NYT $)

4 Anthropic has agreed terms for a $30 billion funding deal
At a $900 billion valuation, which leapfrogs OpenAI’s. (The Information $)
+ Dragoneer, Greenoaks, Sequoia, and Altimeter are leading the round. (FT $)

6 Washington and Beijing will hold formal talks on AI safety
They’ll discuss guardrails on AI. (CNBC)
+ And a protocol to stop nonstate actors getting powerful models. (NYT $)

5 Alphabet and Amazon are using “unprecedented” borrowing to fund AI
They’re tapping the foreign debt market at new levels. (FT $)
+ People can’t agree on what the AI bubble is. (MIT Technology Review)
 
7 Big Tech has turned to Sesame Street to deflect scrutiny of screen use
Sparking accusations of encouraging children’s tech dependence. (Reuters $)
 
8 Anthropic’s feud with the White House threatens other businesses
Figma and Tenable say it will harm their ability to sell software. (Bloomberg $)
 
9 Autonomous agents staged a digital crime spree during a safety test
The “AI Bonnie and Clyde” then deleted themselves. (Guardian)

10 A poop app analysis app offered to sell photos of users’ stools
The images were used for AI training. (404 Media)

Quote of the day

“It’s like we don’t exist.” 

—Danielle Hughes, North Lake Tahoe resident and CEO of Tahoe Spark, tells Fortune that residents are being sidelined as their energy supplier prioritizes data centers.

One More Thing

LIZ ISLES/ALL TECH IS HUMAN


The rise of the tech ethics congregation

Just before Christmas, a pastor preached a gospel of morals over money to several hundred members of his flock. But the preacher wasn’t religious, and his congregation wasn’t a church. It was All Tech Is Human, a nonprofit devoted to ethics and responsibility in tech.

Founded in 2018, the organization has built a fast-expanding community for people who believe technology should focus less on profits and more on the public interest. It’s also drawing people searching for meaning and connection in a digital world.

Find out why thousands of people are turning to tech ethics communities for guidance and connection.

—Greg M. Epstein

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.)

+ Go behind the scenes of the new Lucas Museum of Narrative Art.
+ Marvel at this robot folding and launching paper planes as quickly as possible.
+ Watch the moving moments rescued animals reunite with the humans who saved them.
+ Peer into the heart of a barred spiral galaxy in this stunning new capture from the James Webb Space Telescope.

How Chinese short dramas became AI content machines

In a dimly lit bedroom, a frightened young woman is thrown onto a bed by a tall, muscular man. He grabs her hand, and flame-like vines crawl across her body, fusing with her flesh. She levitates, then drops. A dragon-shaped tattoo appears across her chest.

“Two months,” the man says. “Give me an heir, or I will eat you.”

The scene is from Carrying the Dragon King’s Baby, one of the many hundreds of short dramas that appear on apps like DramaWave and ReelShort. There’s just something about this one that isn’t quite right. The lighting may be glossy and cinematic, but the show has an odd visual texture like something between a movie and a video game cutscene. 

That’s because Carrying the Dragon King’s Baby is part of a new trend for making these shows entirely with AI: no actors, camera operators, cinematographers, or CGI specialists required.

China’s short drama industry has boomed since its launch, in 2018. These ultrashort, melodramatic, and often smutty shows are designed for smartphone viewing, with episodes often running just one or two minutes long: Viewers can finish an entire series in as little as 30 minutes to an hour. The films are made for endless scrolling, packed with emotional confrontations and melodramatic plot twists. The trend’s growth is driven by apps that bombard TikTok, Instagram, and Facebook with cliffhanger-heavy ads designed to lure viewers into buying subscriptions. In 2024, China’s short drama market reached roughly $6.9 billion in revenue, surpassing the country’s annual box office earnings for the first time. 

Since 2022, Chinese short drama companies have aggressively expanded overseas, translating existing hits and producing localized series featuring local actors. Globally, short drama apps have approached a billion cumulative downloads. The United States is the biggest market outside of China, providing around 50% of the revenue, according to research firm DataEye.

Now the industry is reinventing itself. Chinese short drama companies—already masters of low-budget, algorithmically optimized entertainment—are embracing generative AI to produce content faster and cheaper than ever. An average of 470 AI-generated short dramas were released every day in January, according to DataEye. Short-drama companies like Kunlun Tech are ramping up AI productions, shrinking film crews, and reorganizing the labor pipeline from the ground up. For some studios, AI has moved from being a supporting tool to providing the backbone of production itself.

Infinite stories, infinite tropes

Short dramas are already famously low-budget. But AI has made them dramatically cheaper to mass-produce, helping to accelerate the entire process—and save money. Production timelines have collapsed. Conceptualization, script writing, casting, shooting, and editing used to take three to four months. With AI, the process can now take less than a month, says Tang Tang, vice president at short-drama platform FlexTV. Producing a short drama in North America once cost roughly $200,000, but AI can cut that cost by 80% to 90%, according to Tang.

After expanding into the US market, Chinese short drama companies largely followed the same playbook they used in China: Buy traffic aggressively on TikTok, Facebook, and YouTube; offer a handful of free episodes; then charge viewers to unlock the rest inside the companies’ apps. Decisions about what to produce next are often driven less by creative instinct than by performance data. “We look at what themes, plotlines, and writers resonate with audiences, then quickly adjust,” says Tang.

The industry operates at a relentless pace. “Everyone expects quick returns,” Tang says. “In China, if a series doesn’t break even within a month, the industry considers it a failure.” 

As a result, screenwriters who spoke with MIT Technology Review said platforms often categorize projects using highly specific keywords that encompass everything from genre and setting to plot structure, such as “campus romance,” “gang rivalry,” “enemies to lovers,” or “rags to riches.” Recently, one of the most popular genres has been “reborn revenge,” a fantasy trope in which a wronged protagonist is miraculously reborn and given a chance to change their fate.

“You kind of have to keep the emotional intensity extremely high throughout the show, using the same plot devices over and over again: sudden deaths, betrayals, physical violence, huge confrontations,” says Phoenix Zhu, a freelance short drama screenwriter based in Suzhou. “It’s common to sacrifice narrative logic for shock value, because otherwise people are more likely to scroll away.”

Those simple tropes have made the format particularly compatible with AI-generated production. Earlier this year, FlexTV halted all traditionally shot productions and shifted entirely to AI-generated dramas. Kunlun Tech, the parent company of drama apps DramaWave and FreeReels, began producing AI-generated short dramas in 2025 and now offers more than 1,000 AI titles on its platforms. StoReels, another popular short drama company targeting a global audience, has said it aims to produce 100 AI-generated dramas per month.

“People’s attention spans are getting shorter, and serialized drama naturally has to get shorter,” says Han “Daniel” Fang, the CEO of Kunlun Tech. Fang told MIT Technology Review that the company is not going to stop investing in traditionally shot short dramas with real actors. But the company is expanding AI-generated productions and gradually increasing their share on its platforms as a low-cost way to experiment with new genres, themes, and ideas. “We want to bring the amount of AI work to 20% of the platform,” Fang says.

The format is also rapidly growing overseas. Research firm Omdia estimates that the global microdrama market reached $11 billion in 2025 and will grow to $14 billion by the end of 2026. The United States is expected to generate $1.5 billion in revenue in that market this year.

“No one comes to short dramas expecting high art,” says investor Shangguan Hong, former partner of Legend Capital. “The short-drama industry already stands out from traditional TV and filmmaking by being real-time and data-driven. AI only furthers that logic. In a sense, short drama is perfectly compatible with AI.”

Inside the content machine

The industry’s AI revolution is already changing the type of roles required to make short dramas. 

Phoenix Zhu graduated from college in 2024 with a degree in philosophy. After months of rejections from traditional media and film studios, she eventually found work writing scripts for short dramas. “It was a very difficult job market for young people,” Zhu says. “I couldn’t afford to be picky about what I wrote.”

To support herself, Zhu worked a string of part-time jobs, including as a barista, a flower seller, and an event coordinator, while taking freelance writing gigs online for advertising and education companies. In April 2025, she sold her first short-drama script for around 20,000 yuan (approximately $2,945). More commissions followed, and she thought her career was finally beginning to pick up.

Then AI arrived. Two projects already in the contract stage were abruptly canceled, Zhu says. Rates across the industry began falling. The raises she expected as she gained more experience never materialized. 

Still, writers like Zhu have been among the less disrupted workers in the industry. Many production roles on traditional filming sets have disappeared almost entirely from AI-generated productions.

“We could shrink the production team down to around 10 people,” says Tang, vice president at FlexTV. Like many companies in the industry, FlexTV relies primarily on Chinese writers and production teams, even for shows featuring non-Chinese characters and targeting overseas audiences. The reason is not just lower costs, Tang says, but also that Chinese writers better understand the pacing and narrative rhythm of short dramas.

Instead of camera crews, lighting technicians, makeup artists, and visual effects teams, AI productions now rely on smaller groups consisting largely of producers, writers, AI directors, and “AI asset curators.”

An AI asset curator translates scripts into prompts and generates reference images of characters, costumes, and scenes for AI video models to follow. MIT Technology Review found hundreds of job listings for the role on Chinese job sites, many requiring little prior industry experience beyond familiarity with AI tools.

“The technology has improved enormously just in the past few months,” says Hanzhong Bai, an AI short-drama producer based in Beijing. Bai says it is common for AI asset curators to use prompts like “combine the faces of these celebrities I like” when generating characters. Studios typically use a mix of tools, including Google’s image-generation model Nano Banana, ByteDance’s Seedance, and Kuaishou’s Kling.

For producers like Bai, AI also makes it economically viable to produce genres that were previously too expensive for short dramas, especially fantasy series requiring elaborate visual effects, costumes, or makeup. “We’ll see many more dragon and mermaid shows for exactly this reason,” Bai says.

The compressed production cycle has also changed the writing process itself. Writers once had two to three months to finish a script. Now, Zhu says, platforms often expect delivery within a month. Scripts can also be rougher and more flexible, since scenes, visuals, and even plot details can be changed later through prompts.

As a result, writers increasingly have to write for AI models as much as for human audiences. Zhu says she now has to describe scenes with far greater visual specificity, effectively taking on responsibilities once handled by cinematographers or visual effects teams.

“Before AI, writing ‘He gave her a cold stare’ might have been enough,” Zhu says. “Now I might need to write, ‘Cold beams of light shot out from his eyes.’”

Fang of Kunlun Tech believes the future quality of AI-generated short dramas is ultimately a numbers game. “Good ideas and good writing still stand out,” Fang says. “The quality [of AI short drama] will improve simply because more people with strong ideas will be able to make their shows.”

The world is on track to miss its health targets

Every year the World Health Organization publishes a global health statistics report. It features the numbers behind world health trends and, importantly, assesses whether we’re on track to reach ambitious goals set in 2015. It’s a bit like a health grade.

The 2026 report was published on Wednesday. And the results aren’t looking brilliant. While we are seeing some improvements, they are uneven, and they’re far too slow.

The targets themselves are part of the United Nations’ Sustainable Development Goals, a sprawling and ambitious plan focused on improving life around the world. The 17 goals were set to tackle poverty and climate change and to boost education, gender equality, health, and well-being, among many other quality of life issues. Those targets were meant to be met by 2030.

Perhaps they were a little too ambitious. Here are the numbers and statistics that stood out to me on this year’s world health report card.

1.3 million new cases of HIV in 2024

Before the SDGs, there were the Millennium Development Goals. One MDG target was to halt and reverse the spread of HIV—and that target was exceeded by 2015. Back then, we were considered on track to “end the AIDS epidemic by 2030.”

How depressing, then, to see that in 2024 there were an estimated 1.3 million new cases of HIV. That’s 40% lower than the figure from 2010. But it’s still 1.3 million additional people with HIV. The SDG target is to reduce HIV incidence by 90% by 2030—we’re not likely to meet it.

10.7 million new cases of TB

The picture is even bleaker for tuberculosis, which ranks 10th on the WHO’s list of top global causes of death. The goal was to reduce cases by 80% between 2015 and 2030. So far, cases have only fallen by a measly 12%. And when you break the change down by region, the Americas saw an increase of 13%

An 8.5% rise in malaria cases

And then there’s malaria, the mosquito-borne disease with a 7% fatality rate. The European region has been free of malaria since 2015, but the disease is a significant concern in many countries in the Global South, particularly in Africa. The goal was to lower rates by 90% between 2015 and 2030. In 2024, there were an estimated 282 million cases of malaria globally—representing an 8.5% increase in incidence rates.

Antimalarial drug resistance is a major challenge here—forms of the malaria virus that are resistant to drugs have been confirmed or suspected in eight countries in Africa, according to a separate WHO report. Mosquitoes that are resistant to commonly used insecticides are present in nine African countries. And climate change, which can alter mosquito habitats, may be making things worse.

42.8 million children are wasting

We’re not meeting child health targets, either. Take malnutrition, for example. As of 2024, the global prevalence of wasting in children was 6.6%—that’s a staggering 42.8 million children who are literally wasting away because of a lack of adequate food. On the other end of the spectrum, 5.5% of children are now considered overweight. Both figures were meant to be below 5% by 2030, which now seems unlikely.

Vaccination rates are dropping in the Americas

Progress in improving childhood vaccination coverage has stalled. Globally, an estimated 76% of children are getting their second dose of a measles vaccine—a figure far below the the approximately 95% needed to prevent outbreaks. The Americas currently has lower rates of vaccine coverage for three of the four “core” vaccines than it did in 2015.

This is partly due to a lack of investment, says Goodarz Danaei, an epidemiologist at the Harvard T.H. Chan School of Public Health. “But now we have a misinformation campaign going around vaccines that makes it worse,” he adds.

The covid-19 pandemic didn’t exactly help, either. The impact on health services led to millions of children missing out on routine vaccinations.

22.1 million pandemic-related deaths

And of course the pandemic affected progress toward health goals in more direct ways: 7 million people died of covid-19. The WHO report estimates that, for each of these, there were an additional two “excess” deaths related to the pandemic, due to disruptions in health care, for example. That puts the total figure at 22.1 million pandemic-related deaths.

A woman dies every two minutes from “maternal causes”

Maternal mortality rates fell by about 40% between 2020 and 2023. But today’s rate equates to 712 maternal deaths every single day. That’s one every two minutes. The WHO report notes that we’d have to reduce the mortality rate by almost 15% per year in order to meet the 2030 target. This seems incredibly unlikely, particularly given the recent decimation of US funding for global aid programs, which is expected to result in thousands of additional maternal deaths.

Progress has also slowed in reducing the risk of death from noninfectious diseases like cancer, diabetes and cardiovascular disease. “Overall, neither the world nor any WHO region is currently on track to meet the 2030 SDG target,” the report states.

2.1 billion people struggle to afford health care

Despite plans to make health care more affordable, a significant chunk of the population is being pushed into poverty by health-care costs. In 2022, 2.1 billion people faced financial hardship due to health spending—and 1.6 billion of them were living in or had been pushed into poverty.

Across the board, there have been some important improvements in global health. But the achievements have not gone far enough. “The good news is that there is progress,” says Danaei. “But as always, the glass is half empty.”

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

Why isn’t alcohol seen as a public health emergency?

Alcohol kills more Americans than any other drug by a wide margin. But discussions about substance use epidemics in the U.S. are usually centered around drugs like fentanyl or meth. In fact, most people in the U.S. do not see alcohol is as much of a public health problem at all.

My STAT colleagues, reporters Isabella Cueto and Lev Facher, spent months examining this contradiction — how can such a dangerous substance be treated with such ambivalence? Earlier this week they launched a new STAT series “The Deadliest Drug” that aims to answer that question.

Read the rest…

Opinion: Tributes to Craig Venter and the genomics race are missing something important

Two weeks ago, one of the most important scientists of the 20th century died. Craig Venter was a legend in genomics — a self-styled maverick who made a career of challenging institutional science and its methods and assumptions.

His most famous challenge to the scientific status quo came in the late 1990s, when his private company Celera announced it would beat the publicly funded Human Genome Project in the race to generate the first sequence of the human genome. It was one of the top science stories of the 20th century.

Read the rest…

STAT+: Top U.S. officials pressured Germany to pay more for prescription drugs

WASHINGTON — Over a recent breakfast, U.S. officials had a message for the German ambassador: pay more for pharmaceuticals.

The meeting, between U.S. Trade Representative Jamieson Greer, chief health department adviser Chris Klomp, and German Ambassador Jens Hanefeld, was part of a larger push from the Trump administration to get other countries to pay more for medications as the U.S. pays less, according to a person familiar with the meeting.

The U.S. officials discussed the possible use of tariffs under Section 301 — which grants the government authority to combat trade practices considered “unfair.” The move would be similar to the tactic of threatening new tariffs to get other countries to pay more for drugs. The ambassador agreed to review the matter with officials in Germany, but no deal was made, the person said. 

Continue to STAT+ to read the full story…

DOJ accuses Yale and UCLA medical schools of discriminating against white and Asian applicants

The Justice Department sent a letter to Yale School of Medicine on Thursday, alleging it was illegally discriminating against applicants who are not Black or Hispanic, following a similar missive sent last week to the University of California, Los Angeles medical school.

A 2023 Supreme Court ruling prohibited the use of affirmative action in admission decisions, but the Trump administration accused the medical schools of continuing discriminatory practices despite that decision, citing differences in average test scores and GPAs between students of different racial groups over the past three admissions cycles. 

Read the rest…

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