Why businesses are choosing cheap Chinese AI models over AI giants

Why businesses are choosing cheap Chinese AI models over AI giants


Palantir chief executive Alex Karp on Wednesday said many companies are paying for artificial intelligence (AI) services that generate little value while exposing their most valuable business information.

 


“Every single enterprise in this country, these people are livid. They are paying for tokens that create no value. These people are stealing the weights and alpha of my business,” Karp said during an interview with CNBC.

 

His blunt remark comes at a time when businesses are reassessing both the cost and strategic implications of AI adoption. As enterprises seek alternatives to expensive frontier models from OpenAI and Anthropic, a new generation of lower-cost Chinese models is gaining traction. At the same time, advances by Chinese AI firms in specialised areas such as cybersecurity are raising fresh questions about data security, intellectual property and technological leadership.

 


Cheap AI is reshaping enterprise choices


The growing appeal of Chinese models comes at a time when enterprises are reassessing the economics of AI adoption.

 


According to a Reuters report, soaring AI bills are pushing companies to prioritise affordability over marginal improvements in model performance. The shift has prompted a broader pricing battle across the industry, with cheaper alternatives increasingly competing with premium frontier models.

 


Supporters of the open-source approach argue that cost advantages could accelerate adoption.

 

Speaking to Rest of World, Tiezhen Wang, former head of the Asia-Pacific at Hugging Face, said many companies initially build products using proprietary models before moving to open-source alternatives as they scale. He added that switching later could allow firms to reduce spending on AI tokens substantially. 


Why stronger cyber capabilities raise new questions


The concern, however, is no longer limited to price. Chinese models are also beginning to narrow the performance gap with leading US systems in specialised areas, including cybersecurity.

 


China’s Z.ai (formerly Zhipu AI) in its latest open-weight model, GLM-5.2, demonstrated bug-finding and vulnerability-detection capabilities approaching Anthropic’s Mythos-class systems.

 


Security researchers cited by the Wall Street Journal in a recent report said the model can match Mythos in some software vulnerability benchmarks, even though it continues to trail leading models from Anthropic and OpenAI in broader reasoning and general-purpose tasks.

 


The findings suggest that Chinese AI developers are making rapid gains in one of the most strategically significant areas of frontier AI development: identifying software vulnerabilities before they can be exploited by attackers.

 


This development matters because cybersecurity is increasingly viewed as one of the most strategically important areas of frontier AI development. Models that can help security teams discover vulnerabilities can also raise concerns about how such capabilities might be used if deployed for offensive cyber activities.


The Mythos episode and Washington’s AI dilemma


The growing capabilities of Chinese AI models come as Washington sharpens its focus on maintaining technological leadership. The US government’s AI strategy is built around three broad priorities: accelerating innovation, expanding AI infrastructure and strengthening national security safeguards around advanced technologies.

 


The White House’s America’s AI Action Plan describes AI leadership as central to economic competitiveness and national security, while calling for measures to prevent advanced technologies from being misused or stolen by adversaries.

 


The policy debate became more visible earlier this year when the US government restricted access to Anthropic’s advanced Mythos 5 and Fable 5 models over national security concerns and export-control requirements.

 


Although some restrictions have since been eased, the episode did showcase a growing challenge for policymakers. While the United States wants its AI companies to remain globally dominant, it is also seeking to control access to technologies that could have strategic or security implications.

 


That tension has become more pronounced as Chinese firms expand their open-source strategy.


Data, trust and the cost of AI adoption


Open-source models allow developers to download, modify and deploy systems without relying on a single provider. While the approach may encourage innovation at lowers costs, it can make oversight more difficult.

 


Karp’s remarks tapped into a broader concern among businesses about how AI systems handle proprietary information.  As enterprises feed customer records, internal documents and operational data into AI tools, questions are increasingly being raised about intellectual property, data governance and competitive advantage. “If it was so valuable, let’s say I can make you $1 billion tomorrow. Wouldn’t I say I’ll make you $1 billion and I want 30 percent? Why are they charging for tokens if it’s so valuable?” he asked. 

 


Those concerns are becoming harder to ignore as cheaper and more capable alternatives emerge.



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Palantir CEO criticises OpenAI, Anthropic's token-based AI pricing

Palantir CEO criticises OpenAI, Anthropic's token-based AI pricing


US-based AI software firm Palantir’s Chief Executive Officer (CEO) Alex Karp has criticised the token-based pricing model used by OpenAI and Anthropic, saying enterprises are being pushed towards expensive artificial intelligence (AI) use at a time when businesses are seeking cheaper, more efficient alternatives.

 


Speaking to CNBC on Wednesday, Karp said, “I’m not throwing shade at them, but something has gone completely wrong.” He added, “The basic view among enterprises in this country is I’m going to chillax and waste my time with tokens.”

 


His remarks come as the cost of running frontier AI models continues to rise, prompting enterprises to shift focus from maximising token usage to prioritising returns on investment and exploring lower-cost open-weight or in-house AI models.

 
 


China catching up, businesses turn to in-house AI models

 


Palantir CEO also cautioned against underestimating China’s rapid progress in AI, saying the country is advancing faster than many in the industry acknowledge.

 

Chinese AI firms, including DeepSeek, have challenged the dominance of US frontier labs with open-source models that deliver comparable performance at significantly lower cost. This has intensified the debate over AI pricing and accelerated firms’ interest in open-weight alternatives.

 


Karp said, talking to CNBC, that businesses are increasingly moving away from relying on large, general-purpose AI models. Instead, they are building and training smaller, proprietary models tailored to their own needs.

 


Open-weight models and AI sovereignty gain traction

 


Karp said he sees open-weight models as a potential solution for CEOs frustrated by AI labs.

 


As token costs surge, companies are moving to adopt open-weight models, which offer a viable alternative with similar results at a fraction of the price.

 


Earlier this week, Palantir expanded its partnership with Nvidia to use the chipmaker’s AI software and computing platform to develop custom AI models for US government agencies.

 


“What aligns me with Nvidia, and I think is what the technical customers want, is control over their compute, their models, their data stack, and their alpha,” Karp told CNBC. 

 



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EU holds 'constructive' talks with Apple CEO Tim Cook after Siri AI clash

EU holds 'constructive' talks with Apple CEO Tim Cook after Siri AI clash


Apple CEO Tim Cook (Photo: Reuters)


European technology chief Henna Virkkunen held “constructive” talks with ​Apple CEO Tim Cook this week, a European Commission spokesperson said on Wednesday, after the two sides clashed over the roll-out of Siri AI in Europe. 

 


EU regulators and Apple traded barbs last month over competition rules that the US company says have stopped it ‌releasing its upgraded assistant Siri AI in ​the bloc, making it ​unavailable for iPhone and iPad users in the region.

 


“We can confirm that the ​call between EVP Virkkunen and Mr Tim Cook took place. It was a constructive exchange on topics of common interest, on which the work continues,” the European Union spokesperson said in a statement.

 
 


More stringent European tech regulation ​has become a bone of contention between EU capitals and Washington, where US President ‌Donald Trump has criticized the tougher rules and steep fines as damaging ​the interests of US Big Tech.

 


The iPhone maker has said its Siri AI would not be available initially in the EU on iPhones or iPads and faulted ‌the Commission for refusing to engage ​constructively to ensure privacy and security ‌on Apple’s devices. 

 


The Commission has blamed Apple, saying it had been ‌unable to develop “interoperability” to meet EU standards. Europe accounted for nearly 27% of Apple’s ​total sales in its last fiscal year. The company does not break out sales for the EU.

 


Apple has said that ​Europe’s Digital Markets Act has forced it to postpone the roll-out of several features in the EU, including iPhone mirroring to ‌Mac and live translation with AirPods as well as location-based features in Maps.

 


The ‌DMA aims to rein in Big Tech, give rivals more leeway to compete and consumers more choice. DMA breaches can lead to fines of as much as 10% of a company’s global annual turnover.  

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

First Published: Jul 02 2026 | 10:12 AM IST



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Apple seeks to buy chips from blacklisted Chinese firms by lobbying US govt

Apple seeks to buy chips from blacklisted Chinese firms by lobbying US govt



By Mark Gurman and Maggie Eastland

 


Apple Inc. is in negotiations to purchase chips from two Chinese semiconductor makers on a Pentagon blacklist to help reduce the impact of a global memory shortage that’s forced the company to raise prices across its product line.

 


The iPhone maker is seeking to buy memory components from ChangXin Memory Technologies Inc. and Yangtze Memory Technologies Co. for use in devices sold in China, according to people familiar with the matter. Talks between Apple and the companies are ongoing, and nothing is final yet, said the people, who requested anonymity to describe private discussions.

 
 


Apple’s effort has included appeals by Chief Executive Officer Tim Cook to Trump administration officials, including Treasury Secretary Scott Bessent, to help soften the political fallout from any possible deal with the Chinese chipmakers, the people said. Both CXMT and YMTC, as the two companies are known, are on a recently updated Defense Department list of Chinese entities believed by the US to support Beijing’s military.

 


While Apple doesn’t need formal US approval to buy chips from CXMT or YMTC, the company would risk significant blowback from national security hawks in Washington at a time of heightened tensions between the US and China, especially over advanced technology. Some Trump administration officials have expressed objections to giving Apple leeway to add the two Chinese firms to its supply chains.

 


Spokespeople for the Commerce and Treasury Departments and the White House didn’t respond to requests for comment. Apple declined to comment.  

 


The effort comes as Apple and other consumer electronics manufacturers grapple with an unprecedented squeeze on the supply of memory chips, touched off by the global artificial intelligence boom. High-end processors used in data centers require significant amounts of memory, and makers of memory devices have shifted production to serve a fast-growing market where they can demand higher premiums.

 


Buying chips from CXMT and YMTC would expand Apple’s roster of memory suppliers to five. Currently, the company relies on South Korea-based market leaders Samsung Electronics Co. and SK Hynix Inc., along with US-based Micron Technology Inc. for memory needs across the range of mobile devices and desktop computing products it sells. 

 


Those memory chipmakers have struggled to keep pace with demand for their components, and each has outlined plans to expand their production lines to meet the needs of AI data centers. Earlier this week, Samsung and SK Hynix vowed to spend more than $880 billion to build two chipmaking plants apiece to to rapidly expand capacity, and Micron has outlined its own plans to spend billions of dollars on additional production in the US.

 


Last week, Apple raised prices of all Macs, iPads, home devices and the Vision Pro, seeking to offset cost increases caused by the shortage of memory chips. A company spokesperson said that the rapid expansion of AI was to blame and that Apple had “never seen a component price increase this much, this quickly.”

 


Microsoft Corp. took similar steps the same day, announcing that it would raise prices on its Xbox video-game consoles for a third time in 13 months, owing largely to the memory squeeze.

 


Apple’s campaign risks drawing objections from within the Trump administration, where officials decided earlier this year to keep both CXMT and YMTC on the closely watched 1260H list, a congressionally mandated roster of companies that the Defense Department has concluded support the People’s Liberation Army. YMTC was included on the Pentagon list in January 2024, and CXMT was added in 2025.

 


US lawmakers who favor a tough stance toward China, including House Foreign Affairs Committee Chair Brian Mast, are already sounding their opposition to the prospect of Apple sourcing memory components from the two Chinese producers. 

 


“CXMT and YMTC are Chinese military companies fueling the Chinese Communist Party’s military modernization and pursuit of AI dominance,” said Mast, whose panel has jurisdiction over US export control programs. “Allowing this decision to go forward would destroy the President’s agenda to secure supply chains and win the AI Arms Race.” 

 


YMTC faces other restrictions on its ability to do business with American companies thanks to its inclusion in 2022 on a separate US Commerce Department blacklist. That designation bars companies from buying technology from US suppliers unless they get an export license.

 


The Financial Times earlier reported the iPhone maker’s discussions about CXMT.

 


While the Pentagon’s list carries few immediate legal repercussions, the US is increasingly using it to restrict companies’ abilities to contract with the American military or to receive research funding. A 1260H designation also serves as a warning to US investors, and is widely considered a red flag that can precede more punitive trade restrictions.

 


Apple had sought in 2022 to source some of its memory supply from YMTC, but that effort was derailed by opposition in Washington following the Chinese company’s inclusion on the Commerce entity list. By potentially limiting the use of Chinese-made memory chips to devices that would be sold only in China, where Apple already sells dedicated models for the market, the company is hoping to avoid some of the same backlash.



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Unchecked AI may pose catastrophic risks, warns UN panel preliminary report

Unchecked AI may pose catastrophic risks, warns UN panel preliminary report



Developments in artificial intelligence (AI) are outpacing scientific understanding and government policy, meaning there are no guarantees the technology will not cause catastrophic harm, a United Nations (UN) independent panel warned on Wednesday. 


A preliminary report by the UN’s Independent International Scientific Panel on Artificial Intelligence said policymakers face a growing dilemma: they need robust evidence to regulate AI effectively, yet such evidence is struggling to keep pace with the technology’s rapid evolution. 


“AI capabilities are outpacing both scientific understanding and governments’ ability to adapt,” said Yoshua Bengio, co-chair of the panel, comprised of 40 cross-regional experts. 


“With growing evidence of deceptive AI behaviour, science currently cannot guarantee that as capabilities continue to increase, AI will not cause catastrophic harm, either on its own or due to malicious users.” 

 


Described as the first global independent assessment of AI’s risks and opportunities, the report aims to give up-to-date evaluations of the science to help guide decision-making as governments contend with fast-evolving systems. 


In the near term, it expects a shift towards agentic AI systems capable of carrying out real-world tasks, although growth may be constrained by energy and high-quality data shortages. Over time, it foresees self-improving AI embedded more deeply in the economy and converging with technologies such as quantum computing and biotechnology. 


AI already demonstrates expert-level reasoning in mathematics and science and is accelerating drug and vaccine development, and its task complexity is doubling every four to seven months, potentially allowing systems to complete work that takes humans days or weeks, according to the report. 


While this could deliver significant economic benefits, it remains unclear whether productivity gains from using AI will translate into broader growth or affect jobs. 


The panel also outlined a range of safety concerns, such as the risk of losing control over AI systems as they become increasingly autonomous, and deceptive. 


AI is already being used to generate misinformation and other harmful content and could be exploited for fraud, cyberattacks and biological threats. 


Governance remains fragmented, with many countries lacking the capacity to assess or shape advanced AI systems, leaving them reliant on technologies they cannot fully understand or control. Existing safety tools often depend on limited testing data disclosed by companies, the report said. 

UN Secretary-General Antonio Guterres urged governments to act swiftly. “The world cannot govern what it cannot understand,” Guterres said in a statement. The potential is great, but the risks are real, and the cost of waiting is rising, he added. 


What the report says


  • Policymakers need robust evidence to regulate AI effectively, yet this evidence struggles to keep pace with AI’s rapid evolution

  • Expects a shift towards agentic AI systems capable of carrying out real-world tasks

  • Growth may be constrained by energy and high-quality data shortages

  • Outlines a range of safety concerns, such as the risk of losing control over AI systems

 



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