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.
The US Department of Energy (DOE) and the US Department of Commerce (DOC) have joined forces to promote the safe, secure, and trustworthy development of AI through a newly established Memorandum of Understanding (MOU). That collaboration, part of the Biden-Harris Administration’s whole-of-government approach, unites the DOE’s technical resources with the regulatory expertise of the National Institute of Standards and Technology (NIST), where the US AI Safety Institute (US AISI) is a central agency for AI safety initiatives.
The partnership aims to address critical areas such as public safety, national security, and infrastructure protection by evaluating AI models for potential chemical and biological risks and advancing privacy safeguards for personal and commercial data. With the DOE’s National Laboratories supporting the US AISI, this agreement strengthens the federal government’s commitment to responsible AI practices.
Additionally, the partnership highlights AI safety as crucial for innovation, especially in research and clean energy. Given AI’s potential, robust testing standards are essential to ensure security and public trust. Through this MOU, the DOE and DOC establish a foundation for secure AI, emphasising governance as vital to the nation’s tech and security strategy.
The European Union has announced plans to invest €1.4B into its deep tech sector in 2025, aiming to strengthen Europe’s position in the global technology market. The investment, an increase of €200M from last year, will be funded by the European Innovation Council (EIC) under the Horizon Europe research and innovation program. The boost is part of Europe’s strategic move to narrow the tech gap with global leaders like the US and China.
EU Commissioner Iliana Ivanova highlighted the importance of deep tech innovation for Europe’s economic progress, emphasising that the EIC has become essential in supporting groundbreaking advancements. This increased funding reflects the EU’s commitment to fostering high-impact technologies, particularly artificial intelligence, to drive economic growth and global competitiveness.
By targeting tech innovation, the EU aims to position itself as a leader in AI and deep tech, focusing on revitalising its economy through significant advancements in these areas. As the EU steps up its support for deep tech, officials believe this investment will yield long-term benefits and keep Europe at the forefront of technological progress.
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.
LinkedIn has introduced its first AI agent, Hiring Assistant, designed to automate many of the time-intensive tasks recruiters face, such as drafting job descriptions, identifying candidate matches, and handling initial outreach. Initially available to a select group of large enterprises, including AMD, Siemens, and Zurich Insurance, Hiring Assistant is expected to expand to more users in the coming months. By automating repetitive tasks, LinkedIn aims to free up recruiters to focus on higher-impact aspects of their jobs.
Built using LinkedIn’s data from over 1 billion users and backed by Microsoft’s OpenAI partnership, Hiring Assistant can refine job requirements based on existing listings, generate candidate pools, and filter applicants by skills rather than traditional markers like location or education. This AI assistant is part of LinkedIn’s broader push to integrate AI into its platform, following similar tools for resume and profile optimisation, career coaching, and job search support.
In its current iteration, Hiring Assistant is already making strides in streamlining recruiting, with plans for future updates to handle interview scheduling, candidate follow-ups, and more. LinkedIn, which has seen AI-driven growth in its premium subscription base, views Hiring Assistant as a key product in its business offerings for recruitment professionals, aiming to enhance LinkedIn’s impact in the hiring sector.
Nvidia-backed biotech firm Iambic Therapeutics has introduced Enchant, an AI model that aims to reduce the time and cost of drug development. Enchant, trained on extensive pre-clinical data, is designed to predict a drug’s early performance with impressive accuracy. In Iambic’s studies, Enchant achieved a 0.74 accuracy score in predicting drug absorption in the human body, compared to previous models which peaked at 0.58. This predictive power could help pharmaceutical companies identify promising drugs sooner, significantly cutting down on failed late-stage trials.
According to Iambic’s co-founder Fred Manby, Enchant could potentially slash development costs by half, as researchers could more accurately assess a drug’s success at the earliest stages. Nobel laureate and Iambic board member Frances Arnold also highlighted Enchant’s unique capabilities, noting that unlike models like Google DeepMind’s AlphaFold, which focus on molecular structure, Enchant evaluates pharmacokinetic and toxicity properties crucial to drug success.
With Enchant, Iambic is poised to set a new standard in the pharmaceutical industry by addressing some of the biggest hurdles in drug development, including high costs and late-stage failures. The AI technology’s rollout could mark a major shift, making drug discovery both faster and more efficient for a variety of treatments.
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.
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.
Amazon has announced the international expansion of Rufus, its AI-powered shopping assistant, which will now be available in multiple new markets across Europe and the Americas. Originally launched in the US earlier this year, Rufus assists users with product searches, personalised recommendations, and side-by-side comparisons. This expansion aims to make Amazon’s shopping experience more seamless by answering shoppers’ questions in natural language, whether they’re looking for gift ideas or specific product advice.
Rufus has been trained on Amazon’s extensive data library, including product listings, customer reviews, and other public information. By integrating Rufus into Amazon’s Shopping app, the company is competing more directly in the AI space, a move that underscores its efforts to stay competitive with other tech giants. Users in newly added regions can now access Rufus by updating their Amazon app and selecting the chatbot icon, which activates an intuitive, chat-based interface.
While this initial version of Rufus is still in development, Amazon acknowledges that it may not yet be perfect but promises regular updates. The company is also investing in generative AI to enhance services for sellers, like automated listing descriptions. This broader AI strategy includes Amazon’s recent $230M investment in startups to drive further innovations in the field.
At TechCrunch Disrupt 2024, Ashton Kutcher, co-founder of Sound Ventures, shared his belief that every company will eventually incorporate AI, though he doubts there will be a single “winner” in the space. Kutcher emphasised the transformative potential of foundational AI models, which he views as essential to future innovation across industries. “There will not be a company in the world that is not, in some way, using AI,” he noted, adding that foundational companies in AI could become some of the most valuable in history.
Kutcher, alongside Sound co-founders Guy Oseary and Effie Epstein, explained that Sound Ventures is betting heavily on AI, with a $265 million fund backing major AI firms like OpenAI and Anthropic. Kutcher also shared that OpenAI’s CEO, Sam Altman, supported Sound’s multi-company AI investments, with the firm carefully maintaining confidentiality across its portfolio.
While some are apprehensive about AI’s rapid growth, Kutcher compared the technology’s potential impact to transformative past innovations like personal computers and cars. Advising founders, he highlighted the importance of strong teams over polished pitch decks, noting that real value lies in people, market insight, and breakthrough ideas.
