Microsoft plans to increase its spending on AI infrastructure this fiscal year despite slower growth in its cloud business. This announcement led to a 4% drop in its share price after an initial 7% decline. The tech giant, along with others like Google, is investing heavily in data centres to leverage the AI boom, with Microsoft’s capital spending rising 77.6% to $19 billion in its fiscal fourth quarter, primarily for cloud and AI-related expenses.
Despite these investments, investors were disappointed with the slower growth of Microsoft’s Azure cloud service. The company forecasted a 28% to 29% growth for Azure in the upcoming quarter, slightly below market expectations, which followed a 29% increase in the previous quarter, but it also fell short of estimates, indicating a slowdown from earlier months.
CEO Satya Nadella highlighted that AI services are becoming a significant part of Azure’s revenue growth, with over 60,000 customers using Azure AI, a nearly 60% increase from the previous year. Microsoft has integrated AI across its products, including its search engine Bing and productivity tools like Word, driven by its substantial investment in OpenAI.
Microsoft’s total revenue rose 15% to $64.7 billion in the fourth quarter, exceeding analyst expectations. The company also grew in its personal computing business, benefiting from stabilising PC sales. However, revenue from its Intelligent Cloud unit, which includes Azure, missed analyst estimates, rising 19% to $28.5 billion.
Brazil has announced a 23 billion reais ($4.07 billion) investment plan for AI development. The initiative aims to foster sustainable and socially-oriented technologies within the nation, enhancing its technological autonomy and competitiveness in the global AI market.
The investment plan includes immediate impact initiatives targeting key sectors such as public health, agriculture, environment, business, and education. These initiatives focus on developing AI systems to streamline customer service and operational procedures.
A significant portion of the funds, nearly 14 billion reais, will be allocated to business innovation projects over the next four years. More than 5 billion reais will be invested in AI infrastructure and development, with the remaining resources dedicated to training, public service improvements, and AI regulation support.
President Luiz Inácio Lula da Silva emphasised the importance of Brazil developing its own AI technologies rather than relying on imports. He highlighted the potential of AI to generate income and employment within the country.
Apple Inc has joined US President Joe Biden’s voluntary commitments to govern artificial intelligence, aimed at preventing the misuse of AI technology. The White House announced on Friday that Apple is now part of a group of 15 firms that have committed to ensuring AI’s power is not used for harmful purposes. The original commitments, introduced in July 2023, were initially signed by companies such as Google and Microsoft’s partner OpenAI.
In September, additional firms including Adobe, IBM, and Nvidia also pledged their support. This initiative is part of a broader effort by the Biden administration to promote responsible AI innovation by assembling an AI expert team, urging tech CEOs to adopt measures that prevent AI from being used destructively.
Apple’s participation comes amid its own challenges with AI, as the company recently delayed AI features for iOS and iPadOS. This commitment underscores the importance of a unified approach among major tech companies to address the ethical and safety concerns surrounding AI.
Shengshu AI, a Chinese start-up, has launched its new text-to-video tool, Vidu, for global users. The tool supports both Chinese and English text prompts, making it accessible to a wider audience. Users can generate clips of four or eight seconds through the official website. This development places Shengshu among other firms offering similar services, such as Zhipu AI and Kuaishou Technology.
Vidu, first unveiled in April, can generate a four-second clip in just 30 seconds, making it one of the fastest tools available. The technology is based on Shengshu’s self-developed architecture, U-ViT, which was detailed in a research paper by a team led by Zhu Jun, the company’s chief scientist and a professor at Tsinghua University. Shengshu’s leadership team includes several Tsinghua alumni, highlighting the university’s significant role in China’s AI ambitions.
The tool also features a new character-to-video function, allowing users to animate real or fictional characters using simple text prompts. This capability lays the groundwork for potential commercial applications in the animation and content industries. Zhang Xudong, Shengshu’s product director, envisions future developments where users can animate multiple characters and scenes, integrating AI tools with traditional sectors.
Shengshu has attracted significant investment, securing tens of millions of US dollars from backers like Qiming Venture Partners, Baidu, Alibaba’s Ant Group, and the Beijing AI Industry Investment Fund. This financial support underscores the confidence in Shengshu’s potential to lead in AI video generation, positioning it as a strong competitor to OpenAI’s Sora.
Silicon Valley AI startups are increasingly merging with major tech giants like Microsoft and Amazon. Due to financial constraints, many promising companies such as Inflection AI and Adept have seen key executives move to these tech giants through discreet deals. These transactions, often viewed as acquisitions, aim to bypass competition regulators.
Character AI and French startup Mistral struggle to secure the funding needed to remain independent. Even OpenAI, the creator of ChatGPT, is deeply tied to Microsoft through a $13 billion investment deal, ensuring exclusive access to its advanced models. Amazon has similarly invested in Anthropic to secure high-performing AI models.
The immense computing power required for developing generative AI, which can produce human-like content rapidly, necessitates substantial financial resources. As a result, many AI startups, founded by former leaders of major tech firms, rely on the support of large cloud providers to recreate the conditions of well-funded research labs. The shift like this one deviates from the traditional Silicon Valley startup narrative.
However, the consolidation of AI innovation under a few tech giants raises concerns about competition. Critics argue that aligning with these companies stifles creativity and innovation. Government regulators in the US, EU, and UK are scrutinising these deals, with recent actions indicating a growing regulatory interest in ensuring fair competition within the nascent AI industry.
Britain’s antitrust watchdog is examining Google-parent Alphabet’s partnership with AI startup Anthropic to assess its impact on market competition. The scrutiny comes amid growing global concerns about the influence of major tech companies on the AI industry following the AI boom sparked by Microsoft-backed OpenAI’s release of ChatGPT.
Regulators are scrutinising deals between big tech giants and AI startups, including Microsoft’s collaborations with OpenAI, Inflection AI, and Mistral AI, as well as Alphabet’s investments in companies like Anthropic and Cohere. Anthropic’s AI models, developed by former OpenAI executives Dario and Daniela Amodei, compete with OpenAI’s GPT series.
Last week, the UK’s Competition and Markets Authority (CMA) joined forces with US and the EU regulators to ensure fair competition in the AI sector. The CMA is now inviting public comments on the Alphabet-Anthropic partnership until 13 August before deciding whether to initiate a formal investigation. The CMA’s decision will be based on feedback during this initial consultation.
At SIGGRAPH, a major computer graphics conference, Nvidia presented new real-world applications of generative AI. Chief executive officer Jensen Huang highlighted the company’s role in AI development, emphasising their Nvidia Inference Microservices (NIM) platform. Nvidia has always prioritised advanced computing through a software-led approach.
Recent announcements showcased improvements in generative AI and 3D content generation. AI services and models are now available to accelerate humanoid robot development. Researchers can use devices like the Apple Vision Pro to teach robots various tasks. Collaborations with Getty Images and Shutterstock aim to improve the accuracy of AI-generated images matching text prompts.
Engineers now benefit from advancements in industrial design, visualisation, and advertising tools. A demo video displayed lifelike 3D worlds generated from simple text prompts. Coca-Cola and marketing agency WPP are among the early adopters of Nvidia’s generative AI art tools.
The importance of these developments extends beyond product outputs. Nvidia integrates AI into their own processes, aiding software debugging and chip design. The impact on the market has been substantial, contributing significantly to the S&P 500’s market capitalisation gains. The company’s efforts continue to shape the future of AI in various industries.
Samsung Electronics is making strides in developing memory chips essential for the AI market, narrowing the gap with rival SK Hynix. The company has recently received approval from Nvidia for its HBM3 memory chips and anticipates approval for its next generation, HBM3E, within months. The advancement follows months of setbacks, including development challenges and replacing the head of its semiconductor division.
Samsung’s efforts come as the demand for high-bandwidth memory (HBM) is expected to soar, driven by AI advancements. The HBM market is projected to grow from $4 billion in 2022 to $71 billion by 2027. Nvidia’s approval is crucial for Samsung to capitalise on this booming market and improve its revenue and market share despite still trailing SK Hynix.
Why does this matter?
The company has faced significant engineering challenges, particularly with the thermal management of the stacked DRAM chips used in HBM. Under the leadership of Jun Young-hyun, Samsung has focused on resolving these issues and enhancing its technology. The company has also reorganised its HBM team to boost innovation and collaboration.
As Samsung progresses, it aims to ramp up production and meet the growing demand for AI memory chips. With its financial resources and production capacity, the company is well-positioned to address market shortages and secure a significant share of the lucrative AI memory market.
The United Arab Emirates recently cancelled meetings between US Congressional staffers and the Emirati AI firm G42 following US lawmakers’ concerns about the potential transfer of US AI technology to China. The intervention was personally handled by the UAE Ambassador to the US, who stopped the meetings involving the House Select Committee on China.
The cancelled meetings suggest diplomatic tension as US lawmakers, particularly those wary of China, examine the implications of the AI technology transfer to the Middle East. The US State Department has not commented, while a G42 spokesperson directed questions to the Emirati government. The UAE embassy’s spokesperson cited a miscommunication around the visit since the embassy officials were only made aware of the staff delegation shortly before it was about to arrive.
The staffers’ visit was intended to discuss the transfer of advanced chips from companies like Nvidia to the UAE and Saudi Arabia and the broader US-China tech competition. Amidst these concerns, the Biden administration has defended the G42-Microsoft deal, noting that it led to G42 cutting ties with China’s Huawei.
Meta Platforms announced the launch of AI Studio, a tool enabling users to create and design personalised AI chatbots. The new feature allows Instagram creators to develop AI characters to manage direct messages and story replies, enhancing user interaction on the platform. These AI characters can be shared across Meta’s various platforms and are built using Meta’s Llama 3.1 model. This latest version of Meta’s AI model is available in multiple languages and competes with other advanced models like OpenAI’s.
Why does this matter?
Meta’s initiative follows OpenAI’s confidential project, code-named ‘Strawberry,’ aiming to showcase advanced reasoning capabilities. Introducing AI Studio marks Meta’s effort to offer cutting-edge AI tools to its vast user base, leveraging its Llama 3.1 model to provide powerful AI-driven features for content creators and users alike.
