Chinese Vice Premier Zhang Guoqing will visit France from Sunday until February 12 to attend the AI Action Summit as a special representative of President Xi Jinping. The summit will bring together representatives from nearly 100 countries to discuss the safe development of AI.
A foreign ministry spokesperson, Lin Jian, said China is eager to strengthen communication and collaboration with other nations at the event. China also aims to foster consensus on AI cooperation and contribute to the implementation of the United Nations Global Digital Compact.
Vice President JD Vance is leading the US delegation to the summit, but reports suggest that the US team will not include technical staff from the AI Safety Institute.
Pinterest projected first-quarter revenue exceeding market expectations, driven by AI-powered advertising tools that enhanced ad spending. Shares surged 19% in extended trading following the announcement. The platform benefited from a strong holiday shopping season, setting new records for monthly active users and revenue in the fourth quarter.
AI-driven ad solutions, including the Performance+ suite, have attracted advertisers by automating and improving targeting. Increased engagement from Gen Z users and the introduction of more shoppable content have also made the platform more appealing to marketers. Expanding partnerships with Google and Amazon further diversified revenue streams, although most ad revenue remains concentrated in North America.
Ecommerce merchants using Shopify and Adobe Commerce can now integrate their products into Pinterest more easily. Analysts suggest that while global engagement is high, expanding third-party ad integrations will be crucial for long-term growth.
The company forecasts revenue between $837 million and $852 million, surpassing analyst expectations. Adjusted core earnings are expected to range from $155 million to $170 million, also exceeding estimates. Monthly active users reached a record 553 million, reflecting an 11% year-on-year increase.
Sberbank, Russia’s largest bank, has announced plans to collaborate with Chinese researchers on AI projects. The move comes as China’s DeepSeek has disrupted the global tech industry with its low-cost AI models, challenging US rivals like Nvidia. Sberbank, which has transformed from a Soviet-era state savings bank into a major AI player under CEO German Gref, aims to leverage its network of scientists to join forces with China’s AI researchers.
Sberbank’s First Deputy CEO, Alexander Vedyakhin, confirmed the plans but refrained from naming specific Chinese partners. DeepSeek, a startup based in Hangzhou, has gained significant attention for its ability to produce advanced AI models at a fraction of the cost of American counterparts. This development could further fuel competition in the AI sector, especially amid growing tensions between the West and nations like Russia and China.
The strategic partnership between Russia and China is deepening, with both countries emphasising AI as a key area of cooperation. As Moscow faces Western sanctions due to the war in Ukraine, collaboration with China is seen as essential for advancing in AI and other technological fields. However, Russia’s AI projects remain somewhat secretive, making it difficult to assess their true capabilities. Despite this, Sberbank’s First Deputy CEO noted that DeepSeek’s models have outperformed Russia’s GigaChat in scientific tasks, though Sberbank’s model remains competitive in banking applications.
Vedyakhin also highlighted the efficiency of DeepSeek’s approach, noting that its success proves high-quality AI can be achieved without massive investments in infrastructure. This philosophy aligns with Sberbank’s strategy, which focuses on low-cost AI solutions rather than the large-scale projects seen in the US. The bank’s AI platforms, like its Kandinsky text-to-image model and GigaChat Lite, are publicly available, following the transparent approach that has made DeepSeek successful.
The Trump administration’s move to end tariff-free low-cost imports into the US is expected to impact fast fashion retailer Shein more severely than online dollar-store competitor Temu. Both companies have heavily benefited from the ‘de minimis’ rule, which exempts shipments under $800 from import duties, with a significant portion of US daily packages coming from these retailers. While the Biden administration has scrutinised the rule, Temu has been quicker to adapt, diversifying its shipping strategy to minimise reliance on this exemption.
Temu, owned by PDD Holdings, has made considerable shifts in its model, including a move to bulk shipping to US warehouses instead of directly to consumers. By late 2023, about 50% of its US sales came from local warehouses. The company has also increased sea freight for bulkier items like furniture. This strategy contrasts with Shein’s continued dependence on air freight for its fast-fashion inventory, despite opening US centres and expanding its supply chain to countries like Brazil and Turkey.
While the Trump administration’s decision is set to raise prices for American consumers ordering from Shein and Temu, analysts believe the impact will not be catastrophic for these Chinese e-commerce giants. Shein, despite its reliance on fast inventory turnover and speed, is seen as capable of adapting, though the new tariffs and regulations will accelerate the need for supply chain diversification.
Recent changes in US Postal Service policies have added further uncertainty, reversing decisions on accepting parcels from China and Hong Kong. Analysts estimate that de minimis shipments could drop by up to 60%. However, experts remain confident that both Shein and Temu will navigate the changes, given the flexibility and competitiveness of their supply chains.
Google plans to introduce real-world quantum computing applications within five years, according to its head of quantum research, Hartmut Neven. The company’s prediction challenges Nvidia CEO Jensen Huang‘s estimate that practical quantum computing remains at least 15 to 30 years away. Google has been developing quantum technology since 2012 and recently announced a breakthrough that could accelerate the field.
Potential applications for quantum computing include advancements in materials science, drug discovery, and energy solutions. Google has already demonstrated quantum processors capable of solving complex problems far beyond the reach of traditional computers. A recent study published in Nature highlights new progress in quantum simulation, bringing the company closer to commercial viability.
The timeline for practical quantum computing remains uncertain, with predictions varying widely among experts. Nvidia’s scepticism caused a sharp drop in quantum-related stocks, but Google remains optimistic about achieving its goal. Governments and businesses continue to monitor quantum developments closely due to their potential impact on cybersecurity, finance, and healthcare.
John Schulman, a co-founder of OpenAI, has stepped down from his role at Anthropic, the AI startup confirmed on Wednesday. Schulman had joined Anthropic last year after leaving OpenAI in August, aiming to focus on AI alignment and return to hands-on technical work. Anthropic’s chief science officer, Jared Kaplan, expressed regret over his departure but wished him well in his future endeavours.
Anthropic has grown into a key competitor in the AI foundation model space, with annualised revenue reaching approximately $875 million. The company provides access to its AI models both directly and through third-party cloud services such as Amazon Web Services. Schulman’s departure was first reported by The Information.
The move marks another shift in the AI industry as competition intensifies among leading companies. OpenAI, Anthropic, and other key players continue to race towards advancing AI capabilities while addressing concerns around safety and alignment.
Google has introduced new versions of its Gemini AI models, including the budget-friendly “Flash-Lite,” to compete with lower-cost rivals such as China‘s DeepSeek. The updates include the public release of Gemini 2.0 Flash and the testing of a new ‘Pro’ model. Flash-Lite was developed following positive feedback on the previous Flash 1.5 version, with the goal of making AI more affordable.
Investor scrutiny has increased over the rising costs of AI model development. DeepSeek recently claimed to have spent under $6 million on training a model, significantly less than what US AI firms are believed to invest. The emergence of cheaper alternatives has influenced discussions at Alphabet, Microsoft, and Meta, with all three companies reaffirming their commitment to high AI investment.
Alphabet’s stock declined on Tuesday amid concerns over a planned increase in capital expenditure, which exceeded Wall Street expectations by 29%. Google’s pricing strategy for Gemini Flash-Lite sets its cost at $0.019 per million tokens, placing it between OpenAI’s cost-efficient model at $0.075 and DeepSeek’s current rate of $0.014, which is set to increase soon.
Elizabeth Kelly, the inaugural director of the United States AI Safety Institute, has stepped down from her role after a year overseeing efforts to measure and counter risks from advanced AI systems. During her tenure, the institute reached agreements with OpenAI and Anthropic to test their models before release and collaborated with global AI safety organisations.
The institute, created under former President Joe Biden’s administration, operates within the US Commerce Department‘s National Institute of Standards and Technology. Since taking office, President Donald Trump has revoked Biden’s 2023 executive order on AI, raising questions about the institute’s future direction under the new administration.
Kelly did not comment further on her departure but expressed optimism in a LinkedIn post, stating that the institute’s mission remains crucial to the future of AI innovation. The White House has yet to clarify its plans for AI regulation and safety oversight.
Workday has announced plans to cut around 1,750 jobs, or 8.5% of its workforce, as it shifts focus towards AI and international expansion. CEO Carl Eschenbach said the layoffs would help prioritise investments in AI while also freeing up resources to strengthen the company’s presence in different markets. Shares of the California-based human capital management firm rose over 4% in premarket trading following the announcement.
The industry has faced a slowdown in enterprise spending due to high interest rates affecting tech budgets. Workday expects to incur charges of up to $270 million related to the job cuts, with $60 million to $70 million recognised in the fourth quarter. The company, which had around 18,800 employees as of January last year, also plans to close some of its office spaces as part of its cost-cutting strategy.
Workday faces growing competition in the human capital management sector as rivals consolidate through acquisitions. Recent deals include Paychex’s $4.1 billion purchase of Paycor and ADP‘s $1.2 billion acquisition of WorkForce Software. Despite the job cuts, Workday reaffirmed that its financial performance remains on track, with annual subscription revenue expected to reach $7.70 billion and fourth-quarter revenue forecasted at $2.03 billion.
Thailand plans to draft a strategic plan for its semiconductor sector within 90 days, aiming to attract new investments amid the growing trade tensions between the US and China. The country’s national semiconductor board will engage a consultancy to create an industry roadmap, with Narit Therdsteerasukdi, secretary-general of the Thailand Board of Investment (BOI), leading efforts to promote the sector. As part of these efforts, Narit is also organising roadshows in the US and Japan to draw in semiconductor investments.
The semiconductor industry has faced significant disruption due to the US-China trade war, and further instability is expected as US President Donald Trump’s renewed tariffs on Chinese imports continue. Despite this, Thailand’s semiconductor sector has seen growth, with inbound investment applications reaching a decade-high of 1.14 trillion baht ($33.5 billion) in 2023. The country aims for 500 billion baht in new investments by 2029, focusing on power electronics, including semiconductors for electric vehicles, data centres, and energy storage systems.
Thailand is positioned as a key player in the global semiconductor market, ranking second among emerging economies for semiconductor manufacturing. Companies like Analog Devices, Sony, Toshiba, and Infineon have facilities in Thailand, and investment in printed circuit boards, essential for electronic devices, has also surged. Thailand’s neutral position in the ongoing trade conflict makes it an attractive destination for investors seeking stability.
However, Thailand faces stiff competition from other Southeast Asian countries, particularly Malaysia, which is aiming for over $100 billion in semiconductor investments. Despite this, Thailand’s growth potential remains strong, driven by its growing reputation as a manufacturing hub for electronics.
