Datastreams and Vietnam Post (VNPOST) signed a Memorandum of Understanding (MOU) on 20 December 2024, forming a strategic partnership focused on comprehensive data collaboration. The partnership aims to establish a data exchange to drive innovation in data-driven business models and develop platforms for VNPOST’s postal and logistics services.
VNPOST will manage internal project development, research data fabric technology applications, and analyse data exchange requirements. At the same time, Datastreams will provide expertise in data fabric technology, assist with implementation, and offer a project roadmap.
The following collaboration is expected to accelerate VNPOST’s digital transformation, and by 2026, VNPOST plans to build a data platform and data exchange with Datastreams, contributing to AI and data fabric technologies. Through this partnership, both companies seek to secure innovations, expand Datastreams’ technological presence, and contribute to the economy of Vietnam.
Venture funding in Europe may be headed for a flat year overall, but European AI startups are thriving, with AI companies receiving 25% of the region’s VC funding in 2024, totalling $13.7 billion. This marks a significant rise from 15% four years ago and has led to the creation of new unicorns like Poolside and Wayve. According to James Wise of Balderton Capital, breakthrough AI technology in Europe can now attract hundreds of millions, or even billions, of euros at the early stages, similar to the US.
The collective value of European AI companies has doubled in four years, reaching $508 billion, now making up nearly 15% of the region’s entire tech sector. While much of the funding still comes from outside Europe, especially the US, the local AI ecosystem is flourishing with a growing talent pool. In 2024, 349,000 people were employed by AI companies in Europe, a 168% increase since 2020, indicating a buoyant and increasingly productive sector.
Wise suggests that the rise of smaller, highly productive AI companies will be the future, with generative AI tools significantly boosting efficiency in various industries. This growing adoption of AI tools is likely to continue benefiting the European AI sector in the long run, even if the category becomes less distinct in the future.
Apple is closing in on a historic $4 trillion market valuation, driven by investor enthusiasm over its advancements in artificial intelligence and hopes for a surge in iPhone upgrades. Shares have surged 16% since November, adding $500 billion to its market cap, and positioning Apple ahead of rivals Nvidia and Microsoft in the race to this milestone. Analysts attribute the rally to expectations of a new “supercycle” in iPhone sales fueled by AI enhancements, despite modest revenue growth projections for the holiday season.
Apple’s integration of AI tools like OpenAI’s ChatGPT across its devices and apps marks a strategic pivot in a market long dominated by Microsoft, Alphabet, and Meta. Although iPhone demand remains muted, analysts forecast a rebound in 2025, as AI-powered features and broader availability drive renewed interest. Meanwhile, Apple’s premium valuation—its price-to-earnings ratio recently hit a three-year high of 33.5—has sparked mixed reactions among investors, with Warren Buffett’s Berkshire Hathaway scaling back its holdings.
Despite challenges such as geopolitical risks and fluctuating market conditions, Apple’s approach to this milestone underscores its enduring dominance in the tech sector. Analysts and investors remain optimistic about the company’s ability to navigate near-term hurdles and leverage AI innovation to maintain its leadership in a competitive landscape.
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI model designed for advanced reasoning, now available on its AI Studio platform. Billed as effective for multimodal understanding, coding, and complex problem-solving, it aims to enhance AI’s reasoning capabilities.
Unlike typical AI, reasoning models like Gemini fact-check themselves during response generation, improving accuracy but requiring more processing time. However, early testing shows mixed results, suggesting room for refinement in practical applications.
The rise of reasoning models reflects the industry’s search for new methods to optimise AI performance. While promising, challenges such as high computational costs and uncertain scalability remain points of debate.
China has enacted new regulations asserting state ownership over rare earth materials, critical for semiconductor production, with a rule effective from October 1. Additionally, on December 3, the Ministry of Commerce announced a ban on the export of dual-use items such as gallium, germanium, and antimony to the US. These moves are expected to impact industries reliant on these materials, especially solar cell production and semiconductor manufacturing.
As the world’s largest supplier of rare earths, China has long dominated the market due to its lax environmental regulations, which allow for large-scale extraction and refining. However, with many countries looking to reduce their dependency on China, the long-term effectiveness of these export restrictions may diminish. Nations like the US and Australia are expanding their rare earth production lines, and efforts to recycle rare earth materials are also gaining traction.
Despite these efforts, challenges remain in replicating China’s refining capabilities, as many countries are limited by technical and environmental obstacles. Notably, the US has partnered with Australia’s Lynas Corporation to build a rare earth extraction facility, aiming to strengthen its supply chain.
The future of the rare earth market may shift toward the development of substitute materials, although creating viable replacements is a time-consuming process. In this ongoing battle, China has already secured patents for some high-performance materials that could serve as alternatives, indicating that the competition could soon turn to technological innovation and patent rights.
Data analytics firm Palantir Technologies and defence tech company Anduril Industries are leading efforts to form a consortium of technology companies to bid jointly for US government contracts, according to a report from the Financial Times. The group is expected to include SpaceX, OpenAI, Scale AI, autonomous shipbuilder Saronic, and other key players, with formal agreements anticipated as early as January.
The consortium aims to reshape the defence contracting landscape by combining cutting-edge technologies from some of Silicon Valley’s most innovative firms. A member involved in the initiative described it as a move toward creating “a new generation of defence contractors.” This collective effort seeks to enhance the efficiency of supplying advanced defence systems, leveraging technologies like AI, autonomous vehicles, and other innovations.
The initiative aligns with President-elect Donald Trump’s push for greater government efficiency, spearheaded in part by Elon Musk, who has been outspoken about reforming Pentagon spending priorities. Musk and others have criticised traditional defence programs, such as Lockheed Martin’s F-35 fighter jet, advocating instead for the development of cost-effective, AI-driven drones, missiles, and submarines.
With these partnerships, the consortium hopes to challenge the dominance of established defence contractors like Boeing, Northrop Grumman, and Lockheed Martin, offering a modernised approach to defence technology and procurement in the US.
Despite the incoming administration of Donald Trump, the US shift towards renewable energy is expected to continue, according to Mitsubishi UFJ Financial Group’s (MUFG) Americas CEO, Kevin Cronin. While Trump’s policies may favour fossil fuels, Cronin emphasised that renewable energy projects, which take years to plan and build, remain integral to the bank’s strategy regardless of political changes. MUFG, Japan’s largest banking group, remains committed to financing these long-term projects.
The bank’s position has been bolstered by President Joe Biden’s Inflation Reduction Act, which supports infrastructure and renewable investments. However, the real growth opportunity now lies in the booming demand for energy from data centres, driven by AI. Data centre capacity is expected to double by 2030, making reliable energy — both renewable and fossil-based — critical for future expansion.
MUFG has maintained its lead in project finance for 14 consecutive years and is adapting to state-level variations in energy policy. Since selling its retail banking arm in 2022, MUFG has focused on wholesale banking and technology-related sectors, even hiring talent from the collapsed Silicon Valley Bank to strengthen its position. The US market remains a cornerstone of MUFG’s global profits, contributing nearly 30% of its earnings in the last fiscal year.
Geothermal energy is gaining momentum as Big Tech companies like Meta and Google turn to it to power their energy-hungry AI data centres. Startups such as Fervo Energy and Sage Geosystems are partnering with these firms to harness geothermal’s promise of carbon-free, reliable electricity. Unlike wind and solar, geothermal energy offers consistent power, though it faces challenges like high drilling costs and long approval timelines.
Oil and gas companies are also showing interest. Devon Energy and other mid-sized producers are investing in geothermal to meet their own energy needs. However, major oil players like Chevron and Exxon Mobil remain focused on natural gas, promoting it alongside carbon capture technology to reduce emissions.
Interest in geothermal is expanding, particularly in Texas, where abundant resources and streamlined regulations attract new projects. More than 60 geothermal startups have emerged in recent years, supported by improving investment conditions and bipartisan government initiatives like the CLEAN Act and HEATS Act. If these laws pass, they could further boost the sector by simplifying project approvals.
With geothermal’s competitive costs—averaging $64 per megawatt-hour—it may become a key part of a diverse energy mix. As AI-driven data centres grow, the demand for clean and consistent power is driving geothermal’s rise, offering a potential alternative to traditional fossil fuels.
According to sources familiar with the matter, Apple is in early talks with Tencent and ByteDance to integrate their AI models into iPhones sold in China. This comes as Apple rolls out OpenAI’s ChatGPT in other markets, but regulatory restrictions in China prevent the availability of the chatbot there. To comply with local rules and counter the declining market share, Apple is exploring partnerships with Chinese firms that already have government-approved AI models.
Potential partners include ByteDance’s Doubao and Tencent’s Hunyuan, part of a growing field of AI services in China. Although Apple previously discussed using Baidu’s Ernie model, reports suggest technical disagreements halted progress. Baidu’s shares dropped following news of these challenges, while Tencent’s stock saw a boost.
Apple faces increasing pressure in China’s competitive smartphone market, where domestic rivals like Huawei are surging ahead. Huawei’s recent AI-equipped models have attracted consumers, contributing to a 42% spike in sales. In contrast, Apple’s third-quarter sales dipped slightly, underscoring the need for a successful AI integration strategy to regain momentum in China.
The US Commerce Department has finalised a $458 million grant for SK Hynix to support an advanced chip packaging plant and AI research facility in Indiana. The South Korean company, a key supplier for Nvidia, plans to invest $3.87 billion in the project, which will produce high-bandwidth memory chips used in AI systems. The government will also provide $500 million in loans as part of the deal.
The Indiana facility is expected to create 1,000 jobs and strengthen the US semiconductor supply chain. SK Hynix’s CEO, Kwak Noh-Jung, highlighted the importance of building a resilient AI chip infrastructure in the United States. This grant is part of the $39 billion program approved by Congress in 2022 to boost domestic semiconductor production.
The Commerce Department has issued grants to major chipmakers like Intel, Micron, and TSMC. With the SK Hynix deal complete, only Samsung’s $6.4 billion award remains pending. The initiative aims to bolster US leadership in semiconductor technology and reduce reliance on foreign manufacturing.
