PepsiCo is enhancing data collaboration with major retailers in response to declining sales and shifting consumer preferences toward budget options. The Lay’s and Tostitos maker has seen recent decreases in snack sales volumes, prompting adjustments to product sizes and a renewed focus on advertising. In early October, PepsiCo revised its annual sales forecast, reflecting the need to adapt to current market dynamics.
The data-sharing initiative, led by PepsiCo‘s senior vice president of strategy, Angelika Kipor, enables the company to gain insights into shoppers’ purchasing habits while helping retailers improve their supply chain accuracy. By sharing predictive data, PepsiCo assists retailers in optimising product orders, leading to higher sales—recently seen in collaboration with Carrefour, where the grocer expanded its PepsiCo product range based on historical data insights.
Retailer partnerships also help PepsiCo make data-driven supply chain adjustments using AI, a practice gaining traction among consumer goods companies looking to streamline operations. Kipor emphasised that while data-sharing strengthens trust with retailers, it remains separate from PepsiCo’s pricing negotiations, which have eased since the company’s commitment last year not to implement further price hikes on snacks and drinks despite ongoing inflation.
Toyota and Nippon Telegraph and Telephone (NTT) plan to invest 500 billion yen ($3.27 billion) by 2030 to create an AI-driven platform to reduce traffic accidents. Announced in a joint statement, the Japanese automaker and telecom giant aims to launch the platform by 2028, using extensive data to support driver-assistance technology. This project, initiated amid rising pressure on Japanese automakers to compete in the autonomous driving space, is expected to enhance safety features such as improved visibility in urban areas and smoother expressway merging.
The companies intend the platform to benefit not only their own operations but also government and industry partners, setting a long-term goal to minimise traffic accidents. Toyota and NTT, who first collaborated on 5G-connected car technology in 2017, see this project as part of a broader vision for zero-accident mobility, aiming for widespread adoption by 2030.
Toyota’s existing investments in autonomous technology include Woven by Toyota, a unit established in 2021 focused on AI mobility. Woven by Toyota is also developing the Arene automotive software platform and Woven City, a testing hub in Shizuoka. As part of these advancements, NTT and Toyota also plan to test self-driving technology as early as 2025.
Google Cloud has launched its first in-house Arm-based CPU, called the Axion chip, now available to all cloud customers, including streaming services like Spotify and Paramount. Designed with Arm Holdings technology, the Axion chip offers about 60% greater energy efficiency than traditional processors from Intel and AMD, allowing developers to save power for other intensive tasks, such as AI, according to Mark Lohmeyer, Google Cloud‘s vice president of compute and AI infrastructure.
Google joins Amazon, Microsoft, and Ampere Computing in offering Arm-based processors that provide high performance with lower electricity usage. The Axion chip, delivered via a service called an ‘instance,’ represents Google Cloud’s growing focus on energy-efficient computing solutions. Though Google Cloud has used Ampere’s Arm-based chips in the past, it intends to shift more focus to its own Axion chip as the primary option for cloud customers moving forward.
Google Cloud has already been using the Axion chip internally, powering various cloud services for some time. Lohmeyer stated the Axion chip’s enhanced efficiency and integration into Google’s infrastructure mark a significant milestone in Google’s cloud technology portfolio.
The Malaysia Digital Economy Corporation (MDEC) has signed two significant Memorandums of Understanding (MoUs) with Singapore’s Ascent and Indonesia’s Central Capital Ventura (CCV), aiming to attract up to RM200 million (approximately US$45 million) in capital investment. These strategic partnerships focus on fostering the growth of Malaysian startups in essential sectors such as fintech, healthcare, AI, and robotics while providing opportunities for access to international markets across Southeast Asia.
By emphasising development in key areas like AI, cybersecurity, blockchain, and digital finance, MDEC seeks to support local innovation and talent development, ultimately positioning Malaysia as a dynamic, digital-first nation. The commitment to nurturing local expertise and fostering entrepreneurship is crucial for enhancing Malaysia’s status as a leader in technological advancement within the region.
MDEC is dedicated to ensuring the effective implementation of these initiatives by working closely with Ascent and CCV. The collaboration will maximise the long-term benefits for Malaysia’s digital economy, addressing immediate investment needs while laying the groundwork for sustainable growth.
Coventry University researchers are using AI to support teachers in northern Vietnam‘s rural communities, where access to technology and training is often limited. Led by Dr Petros Lameras, the GameAid project introduces educators to generative AI, an advanced form of AI that creates text, images, and other materials in response to prompts, helping teachers improve lesson development and classroom engagement.
The GameAid initiative uses a game-based approach to demonstrate AI’s practical benefits, providing tools and guidelines that enable teachers to integrate AI into their curriculum. Dr Lameras highlights the project’s importance in transforming educators’ technological skills, while Dr Nguyen Thi Thu Huyen from Hanoi University emphasises its potential to close the educational gap between Vietnam’s urban and rural areas.
The initiative is seen as a key step towards promoting equal learning opportunities, offering much-needed educational resources to under-represented groups. Researchers at Coventry hope that their work will support more positive learning outcomes across Vietnam’s diverse educational landscape.
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.
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.
