Alibaba Begins Spring Hiring with 3,000 Internship Roles Focused on Ai
Alibaba Group Holding has kicked off its spring hiring season with 3,000 internship openings for fresh graduates, half of them related to artificial intelligence (AI), as the Chinese e-commerce giant commits to advancing the technology. The recruitment campaign targets students graduating between November 2025 and October 2026, with internships spanning multiple business units. Nearly half of the roles - including more than 80 per cent of positions in the cloud computing arm - are AI-focused.
This strategic move underscores the critical role that talent acquisition will play in Alibaba's digital transformation efforts, as it seeks to stay ahead of competitors in the rapidly evolving technology landscape.
What implications will this influx of AI talent have for Alibaba's long-term growth and competitiveness, particularly in a market where technological advancements are increasingly driving business innovation?
Alibaba Group Holding Ltd.'s latest deep learning model has generated significant excitement among investors and analysts, with its claims of performing similarly to DeepSeek using a fraction of the data required. The company's growing prowess in AI is being driven by China's push to support technological innovation and consumption. Alibaba's commitment to investing over 380 billion yuan ($52 billion) in AI infrastructure over the next three years has been hailed as a major step forward.
This increased investment in AI infrastructure may ultimately prove to be a strategic misstep for Alibaba, as it tries to catch up with rivals in the rapidly evolving field of artificial intelligence.
Will Alibaba's aggressive push into AI be enough to overcome the regulatory challenges and skepticism from investors that have hindered its growth in recent years?
Alibaba Group's release of an artificial intelligence (AI) reasoning model has driven its Hong Kong-listed shares more than 8% higher on Thursday, outperforming global hit DeepSeek's R1. The company's AI unit claims that its QwQ-32B model can achieve performance comparable to top models like OpenAI's o1 mini and DeepSeek's R1. Alibaba's new model is accessible via its chatbot service, Qwen Chat, allowing users to choose various Qwen models.
This surge in AI-powered stock offerings underscores the growing investment in artificial intelligence by Chinese companies, highlighting the significant strides being made in AI research and development.
As AI becomes increasingly integrated into daily life, how will regulatory bodies balance innovation with consumer safety and data protection concerns?
Alibaba Group Holding Limited's rapid revenue growth in the December quarter of 2024, driven by its Cloud Intelligence Group and e-commerce segments, has propelled the stock to significant gains in 2025. The company's net profit also surged to $6.72 billion, marking a notable increase from previous periods. Alibaba's success can be attributed to its strategic investments in AI, which have allowed it to stay ahead of competitors.
The rapid growth of e-commerce companies like Alibaba underscores the importance of adapting to changing consumer behavior and technological advancements in the industry.
How will the increasing focus on sustainable and environmentally friendly practices in e-commerce impact the long-term success and profitability of companies like Alibaba?
Alibaba Group Holding Limited (NYSE:BABA) stands out among AI stocks as a leader in the field of artificial intelligence, with significant investments and advancements in its latest GPT-4.5 model. The company's enhanced ability to recognize patterns, generate creative insights, and show emotional intelligence sets it apart from other models. Early testing has shown promising results, with the model hallucinating less than others.
The success of Alibaba's AI model may be seen as a testament to the power of investing in cutting-edge technology, particularly in industries where innovation is key.
How will the emergence of AI-powered technologies impact traditional business models and industries that were previously resistant to change?
Bernstein has upgraded Alibaba Group Holding Limited (BABA) to an ‘Outperform’ rating, driven by optimism surrounding artificial intelligence (AI) and the company's growth prospects in this rapidly evolving sector. The firm noted that despite investor skepticism related to competition from less power-hungry rivals like DeepSeek, the demand for AI infrastructure continues to rise, with significant capital expenditures anticipated from major tech players. As the broader AI market expands, Alibaba's position is bolstered by its strategic investments aimed at maintaining competitiveness and innovation in AI technologies.
This upgrade reflects a broader confidence in the AI sector, suggesting that established players like Alibaba may continue to thrive by leveraging their existing capabilities while adapting to emerging competition.
What strategies will Alibaba implement to ensure its leadership in the AI space amidst growing competition and evolving market dynamics?
Alibaba's recent quarterly results show a notable revenue increase of 8% and an impressive 83% surge in operational income, signaling a potential turnaround for the tech giant after years of stagnation. The company's strategic shift towards a consumer-centered model and investment in artificial intelligence appears to be resonating with consumers, as evidenced by a 9% growth in customer management revenue. Despite ongoing competition from rivals like Pinduoduo and Douying, Alibaba's latest performance suggests that its efforts to regain market leadership may be starting to yield positive results.
This resurgence in Alibaba's stock may indicate a broader recovery trend within the Chinese tech sector, suggesting that companies can adapt and innovate even amid regulatory challenges and fierce competition.
What additional strategies might Alibaba need to implement to maintain its growth trajectory and fend off rising competition in the evolving e-commerce landscape?
China's technology landscape in 2025 showcases remarkable advancements across multiple sectors, with the nation steadily positioning itself as a global technology powerhouse. Tech giants, including Tencent Holdings TCEHY, Alibaba BABA, Baidu BIDU, JD.com JD and PDD Holdings PDD, are making waves to capitalize on this technological renaissance, strategically investing in AI infrastructure and emerging technologies to strengthen China's digital ecosystem. The company's cost-effective AI architecture demonstrates that competitive AI models can be built at a fraction of Western competitors' costs.
The synchronized acceleration of cutting-edge technologies like AI, EVs, and AR across multiple Chinese firms could signal an irreversible shift in the global tech landscape, with far-reaching implications for industries worldwide.
What role will China's government-backed initiatives, such as the "Manufacturing Great Power" strategy, play in shaping the long-term trajectory of its technological advancements and how might this impact international trade dynamics?
Several of China's top universities have announced plans to expand their undergraduate enrolment to prioritize what they called "national strategic needs" and develop talent in areas such as artificial intelligence (AI). The announcements come after Chinese universities launched artificial intelligence courses in February based on AI startup DeepSeek which has garnered widespread attention. Its creation of AI models comparable to the most advanced in the United States, but built at a fraction of the cost, has been described as a "Sputnik moment" for China.
This strategic move highlights the critical role that AI and STEM education will play in driving China's technological advancements and its position on the global stage.
Will China's emphasis on domestic talent development and investment in AI lead to a new era of scientific innovation, or will it also create a brain drain of top talent away from the US?
Alibaba Group Holding Limited (NYSE:BABA) has seen its valuation surge in recent months, according to Jim Cramer, who attributes this growth to the company's two primary revenue streams: e-commerce and cloud computing. Cramer believes that Alibaba's diversification into these areas has made it a more attractive investment opportunity. The company's expansion into emerging markets and its focus on innovation are also driving its success.
The significance of Alibaba's diversification into AI and cloud computing underscores the evolving nature of technological advancements in the e-commerce sector, which could have far-reaching implications for businesses and consumers alike.
Can regulatory bodies effectively balance the need to protect consumer data with the benefits of innovation in emerging markets like China, where Alibaba operates?
Nine US AI startups have raised $100 million or more in funding so far this year, marking a significant increase from last year's count of 49 startups that reached this milestone. The latest round was announced on March 3 and was led by Lightspeed with participation from prominent investors such as Salesforce Ventures and Menlo Ventures. As the number of US AI companies continues to grow, it is clear that the industry is experiencing a surge in investment and innovation.
This influx of capital is likely to accelerate the development of cutting-edge AI technologies, potentially leading to significant breakthroughs in areas such as natural language processing, computer vision, and machine learning.
Will the increasing concentration of funding in a few large companies stifle the emergence of new, smaller startups in the US AI sector?
The launch of Alibaba's XuanTie C930 marks a significant milestone in the company's push for dominance in the emerging RISC-V CPU market. As the global landscape becomes increasingly hostile to Chinese tech companies due to U.S. export laws and trade tensions, Alibaba is seeking to capitalize on its expertise in cloud-server CPU design. With the C930, Alibaba aims to strengthen its position as a leader in AI and HPC computing.
The widespread adoption of RISC-V technology by Chinese companies such as Alibaba represents a strategic response to the challenges posed by U.S. export laws and trade restrictions, highlighting the growing importance of domestic innovation and self-sufficiency.
How will the ongoing development and commercialization of RISC-V CPUs in China impact the broader global semiconductor landscape and the competitive dynamics between established players like Intel?
Zoom's full fiscal-year 2025 earnings call highlighted a major advancement in artificial intelligence, solidifying its position as an AI-first work platform. CEO Eric Yuan emphasized the value of AI Companion, which has driven significant growth in monthly active users and customer adoption. The company's focus on AI is expected to continue transforming its offerings, including Phone, Teams Chat, Events, Docs, and more.
As Zoom's AI momentum gains traction, it will be interesting to see how the company's AI-first approach influences its relationships with other tech giants, such as Amazon and Microsoft.
Will Zoom's emphasis on AI-powered customer experiences lead to a shift in the way enterprises approach workplace communication and collaboration platforms?
Tencent Holdings Ltd.'s Yuanbao AI chatbot has surpassed DeepSeek to become the most downloaded iPhone app in China, highlighting the intensifying domestic competition in the AI space. The company's integration of its in-house Hunyuan artificial intelligence tech with R1 reasoning model from DeepSeek has given it a significant edge. This move marks a turning point for the Chinese tech giant as it seeks to ramp up its presence in the rapidly growing AI user base.
The strategic integration of AI technologies by Tencent underscores the importance of adaptability and innovation in the fast-paced digital landscape, where the lines between hardware and software are increasingly blurred.
As more companies move towards monetizing their free AI services, how will users be protected from potential biases and data exploitation that may arise from the commercialization of AI-powered chatbots like Yuanbao?
Tencent Holdings Ltd. has unveiled its Hunyuan Turbo S artificial intelligence model, which the company claims outperforms DeepSeek's R1 in response speed and deployment cost. This latest move joins a series of rapid rollouts from major industry players on both sides of the Pacific since DeepSeek stunned Silicon Valley with a model that matched the best from OpenAI and Meta Platforms Inc. The Hunyuan Turbo S model is designed to respond as instantly as possible, distinguishing itself from the deep reasoning approach of DeepSeek's eponymous chatbot.
As companies like Tencent and Alibaba Group Holding Ltd. accelerate their AI development efforts, it is essential to consider the implications of this rapid progress on global economic competitiveness and national security.
How will the increasing importance of AI in decision-making processes across various industries impact the role of ethics and transparency in AI model development?
The advancements made by DeepSeek highlight the increasing prominence of Chinese firms within the artificial intelligence sector, as noted by a spokesperson for China's parliament. Lou Qinjian praised DeepSeek's achievements, emphasizing their open-source approach and contributions to global AI applications, reflecting China's innovative capabilities. Despite facing challenges abroad, including bans in some nations, DeepSeek's technology continues to gain traction within China, indicating a robust domestic support for AI development.
This scenario illustrates the competitive landscape of AI technology, where emerging companies from China are beginning to challenge established players in the global market, potentially reshaping industry dynamics.
What implications might the rise of Chinese AI companies like DeepSeek have on international regulations and standards in technology development?
AppLovin Corporation (NASDAQ:APP) is pushing back against allegations that its AI-powered ad platform is cannibalizing revenue from advertisers, while the company's latest advancements in natural language processing and creative insights are being closely watched by investors. The recent release of OpenAI's GPT-4.5 model has also put the spotlight on the competitive landscape of AI stocks. As companies like Tencent launch their own AI models to compete with industry giants, the stakes are high for those who want to stay ahead in this rapidly evolving space.
The rapid pace of innovation in AI advertising platforms is raising questions about the sustainability of these business models and the long-term implications for investors.
What role will regulatory bodies play in shaping the future of AI-powered advertising and ensuring that consumers are protected from potential exploitation?
2025 presents three significant opportunities that individuals can leverage to create impactful ventures, particularly in AI agents and personal branding. As the demand for AI integration rises, there is potential for niche services that enhance productivity and decision-making in businesses. Additionally, cultivating a personal brand can attract clients and talent while providing a unique competitive edge in the marketplace.
The intersection of AI technology and personal branding reflects a broader shift in how individuals and businesses can harness innovation to create authentic connections and drive growth.
What strategies can entrepreneurs employ to effectively merge AI capabilities with their personal brands to maximize their market impact?
China said on Wednesday it would boost support for the application of artificial intelligence (AI) models and the development of venture capital investment, in a bid to foster more technology breakthroughs and become more self-reliant. The country aims to create an enabling environment for innovation that encourages exploration and tolerates failure. To achieve this, China plans to explore new models for national laboratories and give strong support to young scientists and engineers.
By providing significant resources to AI research and development, China is likely to accelerate its technological advancements in the coming years, potentially narrowing the gap with other countries.
What role will international cooperation play in shaping the global landscape of AI innovation, as China's ambitions become increasingly interconnected with those of other nations?
Honor is rebranding itself as an "AI device ecosystem company" and working on a new type of intelligent smartphone that will feature "purpose-built, human-centric AI designed to maximize human potential."The company's new CEO, James Li, announced the move at MWC 2025, calling on the smartphone industry to "co-create an open, value-sharing AI ecosystem that maximizes human potential, ultimately benefiting all mankind." Honor's Alpha plan consists of three steps, each catering to a different 'era' of AI, including developing a "super intelligent" smartphone, creating an AI ecosystem, and co-existing with carbon-based life and silicon-based intelligence.
This ambitious effort may be the key to unlocking a future where AI is not just a tool, but an integral part of our daily lives, with smartphones serving as hubs for personalized AI-powered experiences.
As Honor looks to redefine the smartphone industry around AI, how will its focus on co-creation and collaboration influence the balance between human innovation and machine intelligence?
U.S.-based AI startups are experiencing a significant influx of venture capital, with nine companies raising over $100 million in funding during the early months of 2025. Notable rounds include Anthropic's $3.5 billion Series E and Together AI's $305 million Series B, indicating robust investor confidence in the AI sector's growth potential. This trend suggests a continuation of the momentum from 2024, where numerous startups achieved similar funding milestones, highlighting the increasing importance of AI technologies across various industries.
The surge in funding reflects a broader shift in investor priorities towards innovative technologies that promise to reshape industries, signaling a potential landscape change in the venture capital arena.
What factors will determine which AI startups succeed or fail in this competitive funding environment, and how will this influence the future of the industry?
Alibaba's latest move with the launch of its C930 server processor demonstrates the company's commitment to developing its own high-performance computing solutions, which could significantly impact the global tech landscape. By leveraging RISC-V's open-source design and avoiding licensing fees and geopolitical restrictions, Alibaba is well-positioned to capitalize on the growing demand for AI and cloud infrastructure. The new chip's development by DAMO Academy reflects the increasing importance of homegrown innovation in China.
The widespread adoption of RISC-V could fundamentally shift the balance of power in the global tech industry, as companies with diverse ecosystems and proprietary architectures are increasingly challenged by open-source alternatives.
How will the integration of RISC-V-based processors into mainstream computing devices impact the industry's long-term strategy for AI development, particularly when it comes to low-cost high-performance computing models?
Honor, a Chinese smartphone maker, is committing $10 billion over the next five years to developing artificial intelligence (AI) capabilities for its devices as it prepares for a public listing. This investment aims to expand beyond smartphones and develop AI-powered PCs, tablets, and wearables. The company's goal is to capitalize on China's growing interest in AI technology.
As AI becomes increasingly integral to various industries, companies like Honor must carefully balance the benefits of innovation with concerns over job displacement and data security.
What role will the Chinese government play in shaping the country's AI ecosystem and ensuring its development aligns with societal values?
In-depth knowledge of generative AI is in high demand, and the need for technical chops and business savvy is converging. To succeed in the age of AI, individuals can pursue two tracks: either building AI or employing AI to build their businesses. For IT professionals, this means delivering solutions rapidly to stay ahead of increasing fast business changes by leveraging tools like GitHub Copilot and others. From a business perspective, generative AI cannot operate in a technical vacuum – AI-savvy subject matter experts are needed to adapt the technology to specific business requirements.
The growing demand for in-depth knowledge of AI highlights the need for professionals who bridge both worlds, combining traditional business acumen with technical literacy.
As the use of generative AI becomes more widespread, will there be a shift towards automating routine tasks, leading to significant changes in the job market and requiring workers to adapt their skills?
Chinese artificial intelligence startup Zhipu AI has secured a significant influx of funding, further solidifying its position in the rapidly evolving AI landscape. With the backing of state-backed investors, Zhipu AI is well-positioned to compete with rival startups like DeepSeek, which has gained attention for matching the capabilities of leading Western platforms. The company's focus on open-source AI models and expansion into key regions such as Zhejiang province and the Yangtze River Delta economic zone will be crucial in determining its success.
As China continues to invest heavily in AI research and development, it is essential to consider whether this surge in state funding will lead to a homogenization of AI innovation, stifling competition from smaller startups.
What are the potential implications for global AI leadership if Chinese companies like Zhipu AI continue to gain ground on their Western counterparts?
Zhipu AI, a Chinese artificial intelligence startup, has raised over 1 billion yuan ($137.22 million) in fresh funding, months after securing a 3 billion yuan investment. The funding round comes amid intensifying competition in China's AI sector, particularly after rival DeepSeek's emergence with its large language models that claim to match Western competitors' capabilities at lower costs. Zhipu AI plans to use the funds to enhance its GLM large language model and expand its AI ecosystem.
This significant investment from state-backed Hangzhou City Investment Group highlights the eastern Chinese city's push to become a major AI hub, positioning Zhipu AI as a key player in China's AI landscape.
Will this renewed focus on open-source AI models, including foundation models, inference models, multimodal models, and AI agents, disrupt the dominance of Western platforms like OpenAI and signal a new era for second-tier AI firms?