Generative AI is speeding up human-like robot development. What that means for jobs
Shenzhen-based LimX Dynamics shows off one of its humanoid robots.
Limx Dynamics
BEIJING — ChatGPT-like artificial intelligence is speeding up research and bringing humanoid robots closer to reality in China, home to many of the world’s factories.
AI has been around for decades. What’s changed with the emergence of OpenAI’s ChatGPT chatbot is the ability of AI to better understand and generate content in a human-like way. While the U.S.-based tech is not officially available in China, local companies such as Baidu have released similar chatbots and AI models.
In robotics, the development of generative AI can help machines with understanding and perceiving their environment, said Li Zhang, chief operating officer of Shenzhen-based LimX Dynamics.
About three months after joining the two-year-old startup, Li said he shortened his expectations for how long it would take LimX to produce a humanoid robot capable of not just factory work, but also helping out in a households.
Li originally expected the entire process to take eight to ten years, but now anticipates some use cases will be ready in five to seven years. “After working for a few months, I saw how various tools’ abilities were improved because of AI,” he said in Mandarin, translated by CNBC.
“It has accelerated our entire research and development cycle,” he said.
Companies are rushing into the opportunity. OpenAI itself is backing humanoid robot startups, while Elon Musk’s Tesla is developing its own, called Optimus.
Electric car giant BYD last year invested in Shanghai-based Agibot just months after its founding, according to PitchBook.
And at a high level, Chinese state media in November published a photo of Chinese President Xi Jinping watching a humanoid robot at an exhibition center during his first trip to Shanghai since the pandemic. The robot was developed by Fourier Intelligence.
Before humanoid robots reach households, as LimX ultimately intends, factories can be a lucrative, enclosed scenario in which to deploy them.
China surpassed Japan in 2013 as the world’s largest installer of industrial robots, and now accounts for more than 50% of the global total, according to Stanford’s latest AI Index report.
Electronics, automotive and metal and machinery were the three leading sectors for industrial robot installation in China, the report said.
Impact on human jobs
When it comes fully replacing human workers, however, AI advancements alone aren’t enough.
Even if AI allows a robot to think and make decisions on par with humans, mechanical limitations are a major reason why humanoids can’t yet replace human laborers, LimX’s Li said.
One of LimX’s backers, Future Capital, has also invested in a company called Pan Motor that specializes in motors for humanoids.
Generative AI doesn’t directly help with robotic motion, pointed out Eric Xia, partner at Future Capital, an investor in LimX. But “advances in large language models can help humanoid robots with advanced task planning,” he said in Chinese, translated by CNBC.
LimX’s other investors include Lenovo Capital.
A shift toward factory robots can accelerate, once the cost-per-robot comes down.
Steve Hoffman, chairman of a startup accelerator called Founders Space, said he is working with a Chinese startup called Fastra, which he expects can begin mass robot production in one year. He said he spent time in China this year teaching local businesses how to integrate generative AI.
“We have already received six orders from research institutions,” he said, noting the startup aims to lower the cost per robot to between $50,000 to $100,000 by rollout.
“If we can hit a $50,000 price point, we can sell a lot of robots,” he said, pointing out the robots’ batteries can be charged as they work, 24 hours a day. “Could pay for the robot in a year.”
In pharmaceutical research, generative AI can reduce costs, without cutting into human labor.
“You don’t save costs in our business by having less people. You actually save costs by making fewer experiments that fail,” said Alex Zhavoronkov, chairman of the board, executive director and CEO of Insilico Medicine, which has offices in Hong Kong, New York and other parts of the world.
He noted how large pharmaceutical companies have typically had to spend thousands of dollars to replicate a molecule for testing — and would run a few thousand such tests per program. He claimed that with the help of AI, Insilico only needs to synthesize about 70 molecules per program.
The company published a paper in Nature in March claiming to have reached phase 2 clinical trials for an AI-generated drug.
The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.
Julian Stratenschulte | Picture Alliance | Getty Images
Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.
Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.
Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.
“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”
Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.
Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.
Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.
Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.
Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.
WATCH: AWS announces latest CPU chip, will deliver record networking speed
The logo of the cryptocurrency Bitcoin can be seen on a coin in front of a Bitcoin chart.
Silas Stein | Picture Alliance | Getty Images
Bitcoin hit a fresh record on Wednesday afternoon as an Nvidia-led rally in equities helped push the price of the cryptocurrency higher into the stock market close.
The price of bitcoin was last up 1.9%, trading at $110,947.49, according to Coin Metrics. Just before 4:00 p.m. ET, it hit a high of $112,052.24, surpassing its May 22 record of $111,999.
The flagship cryptocurrency has been trading in a tight range for several weeks despite billions of dollars flowing into bitcoin exchange traded funds. Bitcoin purchases by public companies outpaced ETF inflows in the second quarter. Still, bitcoin is up just 2% in the past month.
Bitcoin climbs above $112,000
On Wednesday, tech stocks rallied as Nvidia became the first company to briefly touch $4 trillion in market capitalization. In the same session, investors appeared to shrug off the latest tariff developments from President Donald Trump. The tech-heavy Nasdaq Composite notched a record close.
While institutions broadly have embraced bitcoin’s “digital gold” narrative, it is still a risk asset that rises and falls alongside stocks depending on what’s driving investor sentiment. When the market is in risk-on mode and investors buy growth-oriented assets like tech stocks, bitcoin and crypto tend to rally with them.
Investors have been expecting bitcoin to reach new records in the second half of the year as corporate treasuries accelerate their bitcoin buying sprees and Congress gets closer to passing crypto legislation.
Dado Ruvic | Reuters
Perplexity AI on Wednesday launched a new artificial intelligence-powered web browser called Comet in the startup’s latest effort to compete in the consumer internet market against companies like Google and Microsoft.
Comet will allow users to connect with enterprise applications like Slack and ask complex questions via voice and text, according to a brief demo video Perplexity released on Wednesday.
The browser is available to Perplexity Max subscribers, and the company said invite-only access will roll out to a waitlist over the summer. Perplexity Max costs users $200 per month.
“We built Comet to let the internet do what it has been begging to do: to amplify our intelligence,” Perplexity wrote in a blog post on Wednesday.
Perplexity is best known for its AI-powered search engine that gives users simple answers to questions and links out to the original source material on the web. After the company was accused of plagiarizing content from media outlets, it launched a revenue-sharing model with publishers last year.
In May, Perplexity was in late-stage talks to raise $500 million at a $14 billion valuation, a source familiar confirmed to CNBC. The startup was also approached by Meta earlier this year about a potential acquisition, but the companies did not finalize a deal.
“We will continue to launch new features and functionality for Comet, improve experiences based on your feedback, and focus relentlessly–as we always have–on building accurate and trustworthy AI that fuels human curiosity,” Perplexity said Wednesday.
WATCH: Perplexity CEO on AI race: The market of providing answers to questions will become a commodity
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