New waves of Chinese AI models challenge the hegemony of American companies

The Linux operating system reached 10.61% market share in North American desktops in June 2024, according to information provided by StatCounter. This sudden increase surprised the tech community but does not represent a massive shift in users.

The rise was attributed to an intense flow of bots and artificial intelligence agents utilizing the open-source platform. A subsequent analysis conducted by Cloudflare Radar showed that when applying a filter for visitors considered 'Probably Human,' actual Linux usage dropped to 4.7%, while Windows maintained a share of about 65%.

StatCounter data indicates that Linux rose from 3.56% in May to 10.61% in June. During the same period, Windows saw a drop from 64.66% to 57.63%, while Apple's macOS remained relatively stable.

Compared to the global scenario, StatCounter points out that Linux holds approximately 3.7% of the worldwide market. In Latin America, including Brazil, historical records show that the operating system fluctuates between 2% and 4% usage. However, growth in South America is driven mainly by developers and corporate sectors, without showing the peaks seen in the United States and Canada, which host most of the AI processing data centers.

Why did Linux usage skyrocket?

The cause of this anomaly lies in the methodology employed by StatCounter, as the platform does not monitor physical computers. Its statistics are based on over three billion monthly page views collected through more than one million partner sites that incorporate its tracking code.

In practice, StatCounter measures internet browsing activity. Consequently, when a large volume of automated agents, content crawlers, and AI bots (which operate on Linux servers) continuously access these sites, the volume of pages viewed with the system's 'signature' increases drastically. Since the final calculation distributes the market in a 100% proportion, this artificial insertion of requests decreases the portion of traffic credited to Windows, generating the false impression that millions of people abruptly switched away from Microsoft.

Human traffic versus machines

To validate this hypothesis, network infrastructure specialists turned to Cloudflare Radar. Initially, the tool corroborated StatCounter's data and also detected an unusual spike in Linux usage in North America.

Cloudflare's technical advantage, however, lies in its inherent ability to distinguish connections originating from humans from traffic generated by automated systems. By activating the 'Probably Human' visitor filter, the apparent growth of Linux in North America ceased, falling to a more accurate average of 4.7%, while Windows reached approximately 65%, followed by macOS at about 28%. It is important to note that StatCounter has a history of reporting distortions, such as the unrealistic gains of former Windows 7 users.

The success of Siri could lead Apple to reconsider its cautious approach in the artificial intelligence (AI) competition and potentially increase its investments in this field. Previously, the company opted to avoid developing its own AI models, preferring to form partnerships with industry competitors to streamline its strategy.

The most recent change involved adopting Google Gemini as the technological foundation for the revamped digital assistant, after Apple ended its previous collaboration with OpenAI. This decision raised a strategic dilemma: whether to prioritize mitigating financial risks or maintaining control over a technology seen as crucial.

This reassessment occurs amid intense AI competition in the technology sector, where giants such as Microsoft, Google, Amazon, OpenAI, and Anthropic compete in models, infrastructure, and commercial applications.

The new Siri may change Apple's AI strategy

For many years, Apple maintained a more reserved stance regarding AI development. Instead of allocating large sums to creating internal models, the company relied on external vendor technology, which reduced the urgency to rapidly expand its infrastructure spending.

This tactic generated financial benefits, as by delegating part of the development work to partners, the company avoided bearing the high costs inherent in building advanced AI systems alone. However, this implied greater dependence on the capabilities and decisions of other corporations.

This shift became notable when Apple swapped OpenAI for Google Gemini to power an enhanced version of Siri, which is scheduled to be released to the public in the fall. This substitution demonstrated how the choice of AI provider can directly impact the effectiveness of the company's strategy.

External dependency contrasts with Apple's historical tendency to maintain control over much of its product experience, spanning from hardware to software. Although the company built its reputation through strict vertical integration, AI introduced a scenario where essential technological components are managed by third parties.

The financial burden tends to grow if Siri, equipped with advanced features, achieves widespread popularity. While some AI capabilities can operate directly on the brand's devices, other functions require superior computational power, demanding a more robust processing structure.

In dialogue with analysts after releasing financial results, Apple CEO Tim Cook clarified that the company uses a combination of its own data centers with contracted cloud computing services to support its AI strategy. Cook assessed the impact of future technology costs with the phrase: 'We will see what Siri AI does.'

The executive also pointed out that a significant portion of the expenses related to AI is being absorbed by the company's current operations, without necessarily requiring a drastic jump in capital investments. Furthermore, the company believes that more expensive iCloud subscriptions aimed at heavy AI users can help cover some of these expenditures.

Nevertheless, the accelerated growth in demand for AI-based services may limit Apple's ability to keep cost expansion under control. The experience of other companies in the sector indicates that competing in this market requires considerable resources.

While Apple weighs its next steps, other technology companies are vying for strategic positions. OpenAI, which initially drove the popularization of generative AI, faces increasing pressure from Anthropic, which has focused its efforts on AI programming tools.

Anthropic identified an opportunity in a specific corporate market niche and gained prominence in the coding area, while OpenAI deals with rising expenses and seeks to regain advantage in a dispute involving future public offerings.

The competition also extends to the cloud computing market. Amazon maintains its leadership in this segment, but Microsoft and Google have accelerated their digital infrastructure businesses, driven by the demand from AI labs and companies.

Amazon Web Services has seen accelerated revenue growth, but the expansion of rivals draws attention. Google Cloud has shown a higher growth rate in the most recent period, while Microsoft has increased its share through contracts linked to AI companies.

The advancement of artificial intelligence has also generated repercussions in other segments. In the publishing market, debates about authorship and transparency have increased due to cases involving suspected use of AI in literary works.

A recent incident involved a two-book deal valued at US$2 million, which was suspended following questions about the use of artificial intelligence in the creative process. This case was part of a series of controversies affecting the publishing industry.

Additionally, companies across various sectors continue to increase their technological investments. Visa announced the acquisition of a company specializing in AI fraud detection, while Tesla is evaluating strategic changes regarding its operations in China and potential links to Elon Musk's artificial intelligence ventures.

Samsung Electronics announced a new line of memory technologies aimed at artificial intelligence systems on Tuesday (04) during the Future of Memory and Storage conference. The event was held in Santa Clara, California.

The South Korean company showcased the V10 Bonding V-NAND prototype, also known as BV-NAND. This solution was developed to increase storage capacity and enhance the performance of AI applications that require large volumes of data.

The new architecture presented by the manufacturer integrates over 400 layers and uses a wafer interconnection technology that allows for increased memory density, reduced thermal constraints, and optimized power consumption.

With the growing evolution of artificial intelligence systems, particularly those focused on generating user responses, the need for high-capacity memories has significantly increased. In this context, Samsung seeks to consolidate its position in the semiconductor market through the development of specific solutions for heavier workloads.

According to the company itself, the BV-NAND technology represents a progress compared to the previous generation, V9 NAND, showing an approximate 58% increase in memory density. Furthermore, improvements were reported in read, write, and data input/output operations, aspects crucial for applications that rely on ultra-fast storage.

In addition to the new prototype, Samsung demonstrated concepts of architectures named zHBM and zNAND-O, which are part of the corporate strategy for developing three-dimensional memories. This proposal involves the vertical stacking of memory cells to concentrate more information in a smaller space.

The manufacturer explained that the zHBM technology differs from conventional high-bandwidth memories by positioning memory components vertically above artificial intelligence accelerators. This results in a reduction of the data path and an increase in energy efficiency.

Samsung also stated that its wafer bonding technique could enable a memory density more than ten times that achieved by traditional HBM5-based solutions. The company added that this methodology has the potential to triple energy efficiency and reduce thermal resistance by more than half.

This announcement comes amid discussions about the future of memory chip demand. While some investors express concern about the possible effects of a decline in smartphone consumption in China, industry analysts indicate that the advancement of artificial intelligence sustains demand at high levels.

The company recently revealed that long-term contracts with customers can account for between 60% and 70% of its future memory sales. Citi reports also point out that DRAM and NAND supply chain inventories remain below historical averages, even amidst uncertainties in other market segments.