Baidu CEO Robin Li speaks during the company’s Create conference in Shenzhen, China, on April 16, 2024.
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SHENZHEN, China – One year after Chinese search engine operator Baidu released its ChatGPT-like Ernie bot, the company this week announced tools to encourage locals to develop artificial intelligence applications.
“In China today, there are 1 billion internet users, strong foundation models, sufficient AI application scenarios and the most complete industrial system in the world,” CEO Robin Li said in his opening speech at Baidu’s annual AI developers conference on Tuesday.
“Everyone can be a developer,” he said in Mandarin, according to a CNBC translation.
While many point out how China lags behind the U.S. in artificial intelligence capabilities, others emphasize how the strength of the Chinese market lies more in technological application. Take next-day e-commerce and 30-minute food delivery, for example.
Baidu’s newly announced AI tools allow people with no coding knowledge to create generative AI-powered chatbots for specific functions, which can then be integrated in a website, Baidu search engine results or other online portals. That’s different from a similar tool called GPTs that OpenAI launched earlier this year, since those custom-built chatbots — for everything from suggesting movies to fixing code — sit within the ChatGPT interface.
The basic Baidu tools are generally available to try for free, up until a certain usage limit, similar to some of Google’s cloud and AI functions. OpenAI charges a monthly fee for the latest version of ChatGPT and the ability to use it for computer programs. The older ChatGPT 3.5 model is free to use, but without access to the custom-built GPTs.
Baidu this week also announced three new versions of its Ernie AI model — called “Speed,” “Lite” and “Tiny” — that coders can selectively access, based on the complexity of the task.
“It feels like their focus is on building the entire native AI development ecosystem, providing a full set of development tools and platform solutions,” said Bo Du, managing director at WestSummit Capital Management. That’s according to a CNBC translation of the Chinese remarks.
Baidu said this week that Ernie bot has accumulated more than 200 million users since its launch in March last year, and that computer programs are accessing the underlying AI model 200 million times a day. The company said more than 85,000 business clients have used its AI cloud platform to create 190,000 AI applications.
How the tech is being used
Many of the use cases Baidu showed off this week centered on consumer-facing applications: tourism and creation of content such as picture books and scheduling meetings.
In a demonstration hall, Baidu business departments showed off how the AI tools could be integrated with virtual people doing livestreams, or directing search engine traffic to an AI-based interactive buying guide.
Buysmart.AI, which won Baidu’s AI competition last year, uses the tech for an online shopping assistant connected to Chinese social media platform Weibo. The startup said it is using ChatGPT for a standalone interactive e-commerce app in the U.S.
“Personally I think that Ernie 4.0 has a better grasp of Chinese than ChatGPT 3.5,” Buysmart.AI co-founder Andy Qiu said in an interview. That’s according to a CNBC translation of his Mandarin-language remarks.
Consumers in the U.S. are currently more interested in AI products than users in China are, Qiu said. But he said that overall there is still room for improvement when it comes to building consumers’ trust of AI assistants and convincing users to place an order.
Also on display was a humanoid robot developed by Shenzhen-based UBTech Robotics that used Baidu’s Ernie AI model for understanding commands and reading written words.
It’s not immediately clear how such AI applications can significantly change business at this point. But Baidu is the latest to roll out more tools for people to experiment more easily and cheaply with.
Customer service, voice assistants and internet-connected devices can use smaller AI models to respond quickly to users, pointed out Helen Chai, managing director at CIC Consulting.
She added that in scenarios such as legal consultation or medical diagnosis, small AI models can be trained on specific data to achieve performance that’s comparable to larger AI models.
In the future, big AI-based applications will be based on a mixture of models, Baidu CEO Li said, using the technical term of “mixture of experts” or MoE.
He also promoted Baidu’s capabilities in AI-produced code, one of the areas in which Silicon Valley tech companies see the most potential for generative AI.
Baidu said since it deployed its “Comate” AI coding assistant a year ago, the tool has contributed to 27% of the tech company’s newly generated code. Audio streaming app Ximalaya, IT services company iSoftStone and Shanghai Mitsubishi Elevator are among more than 10,000 corporate Comate users, and have adopted nearly half of the code the tool generates, according to Baidu.
The global rush for developing generative AI has created a shortage in the semiconductors needed to provide the computing power. Chinese companies face added constraints due to U.S. restrictions on chip exports.
Baidu did not specifically discuss a shortage in computing power during the main conference session. In his speech, Dou Shen, head of AI cloud at Baidu, noted “uncertainties” in the chip supply chain and announced that Baidu has a platform that can access the power of several different kinds of chips.
Back in February, Li said on an earnings call that Baidu’s AI chip reserve “enables us to continue enhancing Ernie for the next one or two years.” The company is set to release first-quarter results on May 16.
Every weekday, the CNBC Investing Club with Jim Cramer holds a “Morning Meeting” livestream at 10:20 a.m. ET. Here’s a recap of Friday’s key moments. 1. The S & P 500 turned higher Friday. The index opened lower after posting its worst one-day performance since Oct. 10. Still, Wall Street remains cautious of Big Tech’s heavy spending and stretched valuations. Jim Cramer reminded investors to stick with profitable companies — like Nvidia and Microsoft , both Club names, and Alphabet — rather than those that make promises they can’t back. While our trusted S & P Short Range Oscillator is not yet oversold, we’re eyeing some select buying opportunities among stocks that have pulled back. We’re preparing to free up more cash as we look to move on from Disney , where linear television networks have been weighing on profits. Jim said Disney is “in denial” about their challenges. 2. Shares of drugmaker Bristol Myers fell more than 3.5% on Friday after a phase 3 trial for one of its experimental drugs was halted due to a patient health issue. The drug in question was not Cobenfy — the schizophrenia treatment we’ve been bullish on for its potential use on Alzheimer’s. A big Cobenfy readout is due by the end of the year. It’s a make-or-break update for us as investors, given management’s consistent issues with execution. “It’s hard to have faith in management after a series of miscues,” said portfolio director Jeff Marks. We’ve been selling the stock, and as Jim said during Thursday’s November Monthly Meeting , if the shares resume their recent rise, we would look to trim further. 3. Looking ahead to next week, there are four Club names reporting earnings, starting with Home Depot on Tuesday before the opening bell. The near-term setup makes it challenging to maintain a positive stance due to the current elevated state of mortgage rates. At the same time, there’s a significant amount of pent-up demand in the housing sector, which should be beneficial for the home improvement retailer. Next up is TJX on Wednesday before the opening bell. The off-price retailer is a big under-promise, over-deliver story, as it tends to beat the high end of guidance. Nvidia also reports on Wednesday, but after the closing bell. There are a lot of bears on the stock right now, but Jim maintains his “own it, don’t trade it” stance. Finally, cybersecurity firm Palo Alto Networks reports on Wednesday, after the bell, and we’re interested in hearing how management plans to beef up its agent-based security. 4. Stocks covered in Friday’s rapid fire at the end of the video were: Applied Materials , Walmart , Gap , and Nucor . (Jim Cramer’s Charitable Trust is long DIS, BMY, HD, TJX, NVDA, PANW. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust’s portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.
An exterior view of the new JPMorgan Chase global headquarters building at 270 Park Avenue on Nov. 13, 2025 in New York City.
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JPMorgan Chase has secured deals ensuring it will get paid by the fintech firms responsible for nearly all the data requests made by third-party apps connected to customer bank accounts, CNBC has learned.
The bank has signed updated contracts with fintech middlemen that make up more than 95% of the data pulls on its systems, including Plaid, Yodlee, Morningstar and Akoya, according to JPMorgan spokesman Drew Pusateri.
“We’ve come to agreements that will make the open banking ecosystem safer and more sustainable and allow customers to continue reliably and securely accessing their favorite financial products,” Pusateri said in a statement. “The free market worked.”
The milestone is the latest twist in a long-running dispute between traditional banks and the fintech industry over access to customer accounts. For years, middlemen like Plaid paid nothing to tap bank systems when a customer wanted to use a fintech app like Robinhood to draw funds or check balances.
That dynamic appeared to be enshrined in law in late 2024 when the Biden-era Consumer Financial Protection Bureau finalized what is known as the “open-banking rule” requiring banks to share customer data with other financial firms at no cost.
But banks sued to prevent the CFPB rule from taking hold and seemed to gain the upper hand in May after the Trump administration asked a federal court to vacate the rule.
Soon after, JPMorgan — the largest U.S. bank by assets, deposits and branches — reportedly told the middlemen that it would start charging what amounts to hundreds of millions of dollars for access to its customer data.
In response, fintech, crypto and venture capital executives argued that the bank was engaging in “anti-competitive, rent-seeking behavior” that would hurt innovation and consumers’ ability to use popular apps.
After weeks of negotiations between JPMorgan and the middlemen, the bank agreed to lower pricing than it originally proposed, while the fintech middlemen won concessions regarding the servicing of data requests, according to people with knowledge of the talks.
Fintech firms preferred the certainty of locking in data-sharing rates because it is unclear whether the current CFPB, which is in the process of revising the open-banking rule, will favor banks or fintechs, according to a venture capital investor who asked for anonymity to discuss his portfolio companies.
The bank and the fintech firms declined to disclose details about their contracts, including how much the middlemen agreed to pay and how long the deals were in force.
Wider impact
The deals mark a shift in the power dynamic between banks, middlemen and the fintech apps that are increasingly threatening incumbents. More banks are likely to begin charging fintechs for access to their systems, according to industry observers.
“JPMorgan tends to be a trendsetter. They’re sort of the leader of the pack, so it’s fair to expect that the rest of the major banks will follow,” said Brian Shearer, director of competition and regulatory policy at the Vanderbilt Policy Accelerator.
Shearer, who worked at the CFPB under former director Rohit Chopra, said he was worried that the development would create a barrier of entry to nascent startups and ultimately result in higher costs for consumers.
Source: Robinhood
Proponents of the 2024 CFPB rule said it gave consumers control over their financial data and encouraged competition and innovation. Banks including JPMorgan said it exposed them to fraud and unfairly saddled them with the rising costs of maintaining systems increasingly tapped by the middlemen and their clients.
When Plaid’s deal with JPMorgan was announced in September, the companies issued a dual press release emphasizing the continuity it provided for customers.
But the industry group that Plaid is a part of has harshly criticized the development, signaling that while JPMorgan has won a decisive battle, the ongoing skirmish may yet play out in courts and in the public.
“Introducing prohibitive tolls is anti-competitive, anti-innovation, and flies in the face of the plain reading of the law,” said Penny Lee, CEO of the Financial Technology Association, told CNBC in response to the JPMorgan milestone.
“These agreements are not the free market at work, but rather big banks using their market position to capitalize on regulatory uncertainty,” Lee said. “We urge the Trump Administration to uphold the law by maintaining the existing prohibition on data access fees.”
Govini has fired Eric Gillespie from its board of directors after the founder was charged with attempting to solicit sexual contact with a minor online.
“The actions of one depraved individual should not in any way diminish the hard work of the broader team and their commitment to the security of the United States of America,” the defense software startup said in a release late Wednesday.
The company said the 57-year-old had no access to classified information since stepping down as CEO nearly ten years ago.
On Monday, the Pennsylvania Attorney General’s Office charged Gillespie with four felonies, including multiple counts of unlawful contact with a preteen.
A judge denied bail for Gillespie, who lived in Pittsburgh, citing flight risk and public safety concerns.
At the time, the Pentagon officials told CNBC that they were investigating the arrest and possible security risks.
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Last month, the Arlington, Virginia-based startup surpassed $100 million in annual recurring revenue and announced a $150 million growth investment from Bain Capital.