Big technology firms, including Microsoft and Meta, are significantly increasing their investments in AI data centres to meet soaring demand, but Wall Street is looking for quicker returns on these expenditures. Both companies reported rising capital expenses due to their AI initiatives, with Alphabet also indicating that its costs would remain elevated. Amazon is expected to follow suit in its upcoming earnings report.
This surge in capital spending could impact profit margins, causing concern among investors. Shares of major tech companies, including Meta and Microsoft, fell by around 4% in premarket trading, despite reporting better-than-expected profits for the July-September quarter. Analysts warn that while the race to build AI capacity is intensifying, it will take time for these investments to yield returns.
Microsoft’s capital expenditures for a single quarter now surpass its total annual spending from prior years. The company noted a 5.3% increase in spending, amounting to $20 billion, while also predicting further increases related to AI. However, they warned of potential slowdowns in growth for their Azure cloud business due to data centre capacity constraints. Similarly, Meta anticipates a “significant acceleration” in AI infrastructure costs next year.
The tech industry is experiencing bottlenecks, particularly as chipmakers like Nvidia struggle to keep up with the demand for AI chips. Advanced Micro Devices has also reported that AI chip demand is outpacing supply, limiting growth potential. Despite these challenges, both Microsoft and Meta maintain that it is still early in the AI cycle and emphasise the long-term benefits of their investments, echoing earlier experiences during the development of cloud technology.
Amid growing geopolitical tensions, Rick Tsai, CEO of Taiwan’s top chip designer MediaTek, emphasised the company’s commitment to regulatory compliance in a recent earnings call. Tsai acknowledged the complex challenges posed by international relations but reassured stakeholders that MediaTek’s strong compliance program is designed to uphold ethical standards across diverse markets. He added that the company “will not do, shall we say, strange things” and is focused on protecting shareholder interests.
Taiwan, home to leading semiconductor firms like MediaTek and TSMC, plays a pivotal role in the global tech landscape, supplying major players in AI, including Nvidia. However, the tech sector faces rising pressures as Taiwan grapples with increasing military threats from China, which claims the island as its territory. Additionally, the upcoming US presidential election adds uncertainty; candidate Donald Trump has criticised Taiwan’s impact on the US chip market, proposing tariffs on imports and suggesting greater restrictions on international tech firms.
MediaTek, a TSMC customer, also contends with existing US limits on partnerships with Chinese tech companies such as Huawei. Recently, TSMC suspended shipments to a client after finding a chip intended for a different product had reached Huawei. Despite these challenges, MediaTek’s stock has risen by 27% this year, reflecting investor confidence in Taiwan’s enduring role within the tech industry.
AMD’s shares dropped 8% on Wednesday as the chip giant’s revenue forecast fell short of investor hopes, despite strong gains from the AI-driven chip boom. The forecast suggests AMD’s AI chip sales could hit $5 billion by 2025, but CEO Lisa Su warned that production would struggle to meet demand, likely tightening supply through next year. This cautious outlook could see AMD lose up to $20 billion in market value, underscoring investor concerns.
Analysts noted that while AMD’s AI performance is promising, demand may outpace supply, raising risk for the company’s growth prospects. Stacy Rasgon of Bernstein observed that for an “AI name” like AMD, even modest guidance could raise eyebrows, especially with expectations for business “lumpiness” through 2025. Unlike AMD, Nvidia—a key AI chip competitor—showed little market impact, reflecting investor confidence in its supply stability.
AMD’s stock, up nearly 156% since late 2022, is now trading at around 32 times its forward earnings, slightly lower than Nvidia’s 36 times. Despite the recent dip, analysts still see upside potential, with the median target price set at $187.50, or about 13% above AMD’s last close.
Tesla CEO Elon Musk envisions a future where 10B humanoid robots populate the world by 2040, priced between $20,000 and $25,000 each. Musk shared his ambitious outlook virtually at Saudi Arabia’s Future Investment Initiative, a key gathering for global industry leaders held in Riyadh. This prediction underscores Musk’s vision of an advanced AI-driven future where humanoid robots may become nearly as common as today’s smartphones.
This projection aligns with Musk’s belief that AI and robotics will revolutionise labor and everyday life, taking over tasks across industries and possibly reshaping global economies. By pricing these robots within reach of individual consumers and businesses alike, Musk foresees a rapid expansion of robotics in daily use, from personal assistance to industrial applications.
Musk’s forecast also raises questions about the societal and economic impacts of such widespread AI-driven automation, sparking discussions on regulation and ethics. As technology accelerates, industry leaders and policymakers are exploring the potential opportunities and risks of a robotic future on this scale.
Nubank, the Brazilian digital lender, will soon enter the telecom sector by introducing mobile services for customers in Brazil. The company aims to launch these services in the coming months, marking a significant expansion beyond its traditional financial offerings.
With over 95 million customers in Brazil alone, Nubank is one of the world’s largest digital lenders. Listed on the New York Stock Exchange, the fintech is valued at over $70 billion. By the end of June, it had more than 104 million customers across Brazil, Mexico, and Colombia.
The new mobile service, branded as NuCel, will provide coverage to 93% of Brazilian territory. It will operate using Claro’s infrastructure, a Mexican telecom company under the America Movil group. Nubank plans to offer three subscription options, with monthly costs ranging from 45 to 75 reais, payable through its credit cards.
This telecom launch is positioned as a strategic move to enhance Nubank’s portfolio. The company said it aims to deliver a better customer experience and diversify beyond financial services through this new venture.
Boston-based cybersecurity company Rapid7, valued at roughly $2.5 billion, is exploring acquisition options after attracting interest from private equity firms. Working with investment advisors Goldman Sachs and JPMorgan, the firm is reportedly in early discussions with major private equity groups, including Advent, Bain Capital, and EQT. Sources suggest that while talks are ongoing, Rapid7 may ultimately decide against a sale.
The company, a provider of vulnerability management tools helping organisations assess and monitor cybersecurity risks, has been under increased pressure to consider a sale. Activist investor Jana Partners recently acquired a 5.8% stake in Rapid7, urging it to explore strategic options as it faces strong competition from larger players like Tenable and Qualys.
Rapid7 has seen its shares fall around 32% this year amid rising challenges in the cybersecurity market, as clients cut back on spending due to economic pressures. However, news of a potential sale lifted the company’s stock by over 4% on Monday. Interest in cybersecurity acquisitions remains strong, with private equity firms actively pursuing opportunities in the sector, highlighted by major deals such as Advent’s $14 billion acquisition of McAfee in 2021 and Vista Equity’s $4.6 billion buyout of KnowBe4 last year.
OpenAI is collaborating with Broadcom and TSMC to develop its first custom-designed chip, while supplementing its infrastructure with AMD chips alongside those from Nvidia to meet high computing demands. OpenAI initially considered establishing its own chip-manufacturing network but set the idea aside due to costs and time requirements. Instead, the company is focused on partnerships and in-house chip design to reduce costs, similar to strategies from industry giants like Amazon, Google, and Microsoft.
Broadcom’s stock rose 4.5% following news of the collaboration, while AMD shares gained 3.7%. The partnership will leverage Broadcom’s experience in fine-tuning chip designs for manufacturing and secure production capacity with TSMC, aiming for the first in-house chips by 2026. OpenAI’s increased use of AMD chips on Microsoft’s Azure platform underscores the growing competition Nvidia faces in the AI chip market, where it currently holds over 80% market share.
With soaring expenses from training and deploying models, OpenAI is seeking to streamline operations and cut compute costs. Nvidia remains an essential partner for OpenAI’s advanced Blackwell GPUs, even as OpenAI expands its chip sourcing to support more affordable, efficient AI development.
Kenya partners with Google to enhance its digital infrastructure and empower its citizens in the evolving digital economy. The collaboration aims to create a robust digital ecosystem that meets current technological needs while anticipating future demands.
Kenya seeks to empower decision-makers with real-time insights by utilising AI and data-driven technologies, enhancing operational efficiency and facilitating effective governance. A key focus of the partnership is revitalising the tourism sector through Google’s technology, attracting more international visitors and showcasing the country’s unique landscapes, wildlife, and cultural heritage.
Additionally, prioritising cybersecurity measures is critical to building trust among citizens and ensuring a secure digital environment. The initiative will also promote skills training to equip Kenyans with essential digital competencies, fostering innovation and creativity while contributing to the overall growth of the nation’s economy.
Through this partnership, Kenya addresses immediate technological needs and lays a foundation for sustainable development in the digital space. By enhancing digital literacy and integrating advanced technologies, the collaboration positions Kenya as a leader in the region’s technological landscape.
Why does it matter?
The comprehensive approach ensures that as the digital economy expands, citizens are well-prepared to navigate the challenges and opportunities that arise, ultimately driving growth and resilience in the face of rapid technological advancements.
San Francisco-based Advex AI has launched publicly at TechCrunch Disrupt 2024, aiming to address data shortages for training AI systems using synthetic imagery. Co-founded by CEO Pedro Pachuca and CTO Qasim Wani, Advex has already secured funding totalling $3.6 million and boasts seven major enterprise clients. Advex’s synthetic data platform uses a proprietary diffusion model to generate thousands of ‘fake’ images from a small sample, helping clients train machine vision systems with limited original data.
Advex’s solution is particularly valuable in sectors like manufacturing, where recognising subtle defects can be crucial but challenging with limited real data. For example, a car manufacturer needing to train a system to detect seat material flaws could upload just a few images of tears, with Advex generating thousands of variations to expand training data. Such applications span industries, from automotive to oil and gas, reducing costs and time associated with real data collection.
While synthetic data isn’t a new concept, Advex distinguishes itself through its custom diffusion model, which Pachuca says is faster and more realistic than traditional simulation methods. Unlike game-engine techniques, Advex’s model can rapidly create images tailored to the data gaps in a client’s specific AI system, helping it operate more effectively in real-world scenarios.
Microsoft is anticipated to report its slowest revenue growth in a year as investors focus on AI-related earnings and the impact of heavy investments in the technology. While Microsoft has led the way in generative AI, helped by its significant stake in ChatGPT creator OpenAI, adoption of its enterprise AI assistant, Copilot, has lagged. Recent reports suggest a hesitant market for Copilot’s $30-per-month subscription, with many companies still in pilot phases.
Analysts from Morgan Stanley and Visible Alpha expect Microsoft’s capital expenditures in the September quarter to have surged nearly 72% year-on-year, driven by high AI and cloud computing costs. Azure, Microsoft’s cloud unit, likely grew by 33% for the quarter, although that marks a slight dip from prior growth. Despite this, Microsoft hopes for stronger AI-driven revenue in Azure and is targeting faster growth in the second half of the fiscal year.
In the wake of a financial reorganisation in August, Microsoft’s earnings have become harder to predict. With high AI-related costs weighing on margins, Microsoft’s shares have seen minimal growth since July, underperforming the S&P 500. Meanwhile, analysts anticipate a revenue rise of around 14% to $64.5 billion, a modest improvement amid investor concerns over Microsoft’s AI strategies.
Scepticism around Microsoft’s 365 Copilot assistant remains, though some analysts believe recent AI upgrades could drive demand. Microsoft’s productivity unit, including LinkedIn and Office, is expected to maintain steady growth, and the company remains optimistic about AI’s potential to strengthen its productivity suite.
