Competition in China’s AI market is shifting from building increasingly powerful models to finding ways to monetize them and apply them in practice. Alex Yao, head of China equity research at JPMorgan, told SCMP about this trend.
By Alex Rowland Last year, users spent $85 billion on mobile applications, marking a 21% increase compared to 2024 and surpassing spending on games for the first time. The growth was driven primarily by the rapid expansion of generative artificial intelligence (AI).
By Chris Borden On January 16, token launch fees on the Bags platform exceeded $2 million, marking a thousand-fold increase compared to December.
By Chris Borden On-chain analytics provider Nansen has introduced an AI-powered built-in trading tool in its web and mobile applications. The first supported networks are Solana and Base.
By Alex Rowland OpenAI has published new business figures. Its computing capacity (compute) increased from 0.2 gigawatts in 2023 to 0.6 gigawatts in 2024 and is expected to reach 1.9 gigawatts in 2025—effectively tripling each year. Revenue is following a similar growth trajectory: from $2 billion in 2023 to $6 billion in 2024, and to more than $20 billion in 2025. That represents a tenfold increase within just two years.
By Chris Borden Most Russian internet users are generally able to distinguish content generated by neural networks from content created by humans, but they find text the hardest to identify, according to a study by VTsIOM. The survey included more than 1,600 respondents aged 18 and over.
By Alex Rowland South Korea reportedly spends more per month on AI subscriptions than on Netflix. According to Hankyung Aicel, payments for seven AI services such as ChatGPT and Gemini reached an estimated 80.3 billion won in December 2025 (around €50–55 million) — more than the average monthly Netflix subscription fees in Korea in 2024 of 75 billion won (around €45–50 million). However, the AI figure also includes corporate payments, while Netflix is a consumer-only service.
By Chris Borden SleepFM processed more than a thousand disease categories and was able to predict 130 of them with sufficient accuracy using patients’ sleep data. Researchers from Stanford University and their colleagues have introduced an artificial intelligence model called SleepFM that can forecast the risk of more than 100 diseases. The system analyzes physiological data collected during a single night of sleep to assess the likelihood of developing conditions such as dementia, heart failure, and even overall mortality, ScienceAlert reports.
By Alex Rowland Bitdeer has overtaken MARA in total computing power. As of the end of December 2025, the company’s total hashrate under management reached 71 EH/s.
By Alex Rowland OpenAI, together with Handshake AI—a company specializing in data preparation for artificial intelligence—has reportedly approached external contractors with a request to submit examples of real-world tasks from their past and current jobs. This was reported by Wired.
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