Qualcomm is integrating advanced AI technology from its laptop processors into mobile phone chips. The new Snapdragon 8 Elite chip introduces improved capabilities for generative AI, such as producing images and text.
The chip incorporates Qualcomm’s Oryon custom computing technology, originally developed by engineers who joined the company from Apple in 2021. This innovation aligns with the company’s broader effort to push AI features across various platforms.
Developers will benefit from enhanced tools that complement existing Android functionalities, allowing deeper use of the Snapdragon chip’s AI capabilities. Qualcomm aims to distinguish its approach from Google’s rapid developments in AI by offering unique technologies to app creators.
Major companies, including Samsung, Xiaomi, and Asustek, are set to integrate Qualcomm’s latest chips into their devices. This marks another step in the company’s strategy to remain a leader in mobile computing and AI solutions.
Russian government spending on iPhones between January and September was four times higher than during the same period last year, according to Vedomosti. Security warnings and restrictions on some officials have not prevented these purchases.
The Federal Security Service (FSB) last year accused the US of using spyware to compromise thousands of iPhones. Although Apple rejected the claim, officials preparing for the 2024 presidential election were instructed to avoid iPhones over espionage concerns.
Contracts for iPhones totalled 6.9 million roubles for the first nine months of 2024, compared to 1.6 million the previous year. Despite the digital ministry banning iPhones for work purposes, officials and institutions continue to procure them.
Demand for the latest iPhone 16 remains strong, with consumers relying on grey-market imports after Apple halted direct exports due to the conflict in Ukraine. Even with higher prices, interest in Apple products across Russia shows no signs of slowing.
A recent study by McKinsey highlights that Portugal must retrain around 1.3 million workers, about 30% of its workforce, by 2030 to adopt generative AI and close its productivity gap with the rest of the European Union. Portugal has long struggled with low productivity, which has contributed minimally to GDP growth compared to the EU average. However, the study predicts that by rapidly integrating AI and automation, the country could significantly boost productivity, matching projected EU levels.
Generative AI, which creates content like text and images based on past data, could help Portugal compete with more developed economies if the workforce is prepared for the technological shift. This change will also require the public, private, and education sectors to collaborate in reshaping job roles and work processes. For every euro invested in AI technology, McKinsey suggests that three euros will be needed for managing organisational transitions.
Besides upskilling 1.3 million workers, the study indicates that around 320,000 employees in roles like customer service will need to transition to new jobs. This large-scale transformation could position Portugal for stronger economic growth in the coming years.
A survey conducted by Wiley reveals that 96% of workers in the US feel stressed about adapting to AI at work. Many employees are grappling with how to integrate the rapidly evolving technology into their daily tasks, with 40% struggling to do so and 75% lacking confidence in their AI skills.
Managers also face challenges in leading AI transitions. Only 34% of people managers feel ready to support their teams effectively, exposing a knowledge gap that could hinder AI adoption. Meanwhile, 80% of employees believe their managers are supportive, though just 60% think their managers possess the expertise to guide them through the process.
Clearer strategies and structured training could ease the pressure. About 61% of employees say training on AI tools would help, while 54% believe a defined organisational strategy would make adoption smoother. Furthermore, 48% suggest that setting clearer expectations around AI use would boost their confidence.
Wiley’s report recommends three strategies for improving AI integration. Organisations are encouraged to define specific AI use cases, improve communication with employees, and provide targeted training for managers to lead their teams through the transition more effectively. Tracey Carney, the lead researcher, stresses the importance of equipping both employees and managers to handle the evolving demands of AI.
The US Securities and Exchange Commission (SEC) has granted approval for 11 exchange-traded funds (ETFs) to list and trade options linked to spot bitcoin prices on the New York Stock Exchange. This decision marks a significant step forward for both the cryptocurrency sector and institutional investors seeking more flexibility in managing bitcoin exposure.
Several major funds, including the Fidelity Wise Origin Bitcoin Fund, ARK21Shares Bitcoin ETF, Invesco Galaxy Bitcoin ETF, and Grayscale Bitcoin Trust, are among those receiving the green light. The introduction of options trading will provide market participants with a quicker and cost-effective way to adjust their exposure to the cryptocurrency market.
These bitcoin index options offer traders a strategic tool to hedge risk or amplify returns without directly owning the underlying asset. Institutional investors, in particular, are expected to benefit from the ability to manage their investments with more precision.
BlackRock’s ETF had already received approval for options trading on the Nasdaq in September. The latest SEC decision opens the door for even wider participation, signalling growing acceptance of bitcoin-based financial products within traditional markets.
Gusto’s co-founder and head of technology, Edward Kim, believes that replacing existing teams with AI engineers is not the best approach for businesses preparing for an AI-driven future. In an interview, Kim emphasised that non-technical team members often have a deeper understanding of customer needs and challenges, making them more effective in guiding the development of AI tools.
At Gusto, non-technical customer experience team members contribute by writing “recipes” that instruct Gusto’s AI assistant, Gus, on how to interact with customers. This approach allows employees to leverage their domain expertise, even without technical skills, to create powerful AI applications. Kim highlighted the success of CoPilot, a customer support tool developed by a former support team member, Eric Rodriguez, who was later promoted to the engineering team. The tool, used by Gusto’s support team, quickly became a game-changer, enhancing efficiency by providing immediate, accurate responses based on the company’s internal knowledge base.
Kim noted that AI tools like Gus empower teams to create solutions without requiring coding knowledge, using natural language instructions. This bottom-up strategy contrasts with the trend of hiring highly specialised AI experts and reflects Gusto’s belief in leveraging domain expertise. As AI continues to evolve at the company, Kim envisions a shift in roles, with more employees focusing on writing AI recipes and fine-tuning prompts rather than direct customer interactions. This approach, he suggests, will enhance customer experiences and free up resources for Gusto to expand its services.
Togo’s transport ministry has suspended the operations of Yango, a ride-hailing app owned by Yandex, the tech giant from Russia, due to security concerns. The app had been operating in the West African nation since June, but the ministry stated Yango was functioning without proper authorisation and in violation of national regulations.
The decision to suspend Yango was driven by concerns over passenger safety, as well as the app’s failure to adhere to the country’s legal procedures. The ministry emphasised the need to ensure that transportation services in Togo operate in compliance with local laws.
Effective immediately, Yango’s services have been halted across the entire national territory. The company has not yet commented on the suspension or provided any response to requests for information.
Yango, which had only recently entered the Togolese market, now faces an indefinite pause in operations as the government prioritises safety and regulatory compliance for ride-hailing services.
ByteDance, the parent company of TikTok, has dismissed an intern for what it described as “maliciously interfering” with the training of one of its AI models. The Chinese tech giant clarified that while the intern, who was part of the advertising technology team, had no experience with ByteDance’s AI Lab, some reports circulating on social media and other platforms have exaggerated the incident’s impact.
ByteDance stated that the interference did not disrupt its commercial operations or its large language AI models. It also denied claims that the damage exceeded $10 million or affected an AI training system powered by thousands of graphics processing units (GPUs). The company highlighted that the intern was fired in August, and it has since notified their university and relevant industry bodies.
As one of the leading tech firms in AI development, ByteDance operates popular platforms like TikTok and Douyin. The company continues to invest heavily in AI, with applications including its Doubao chatbot and a text-to-video tool named Jimeng.
IBM unveiled its latest AI model, known as ‘Granite 3.0,’ on Monday, targeting businesses eager to adopt generative AI technology. The company aims to stand out from its competitors by offering these models as open-source, a different approach from firms like Microsoft, which charge clients for access to their AI models. IBM’s open-source strategy promotes accessibility and flexibility, allowing businesses to customise and integrate these models as needed.
Alongside the Granite 3.0 models, IBM provides a paid service called Watsonx, which assists companies in running these models within their data centres once they are customised. This service gives enterprises more control over their AI solutions, enabling them to tailor and optimise the models for their specific needs while maintaining privacy and data security within their infrastructure.
The Granite models are already available for commercial use through the Watsonx platform. In addition, select models from the Granite family will be accessible on Nvidia’s AI software stack, allowing businesses to incorporate these models using Nvidia’s advanced tools and resources. IBM collaborated closely with Nvidia, utilising its H100 GPUs, a leading technology in the AI chip market, to train these models. Dario Gil, IBM’s research director, highlighted that the partnership with Nvidia is central to delivering powerful and efficient AI solutions for enterprises looking to stay ahead in a rapidly evolving technological landscape.
A new report from Aspen Digital reveals that 76% of Asia’s private wealth sector has already ventured into digital assets, with an additional 18% planning future investments. Interest in digital assets has surged since 2022, when just 58% of respondents had explored the space. The survey covered 80 family offices and high-net-worth individuals and found that most manage assets ranging from $10 million to $500 million.
Among those invested, 70% have allocated less than 5% of their portfolios to digital assets, although some increased their holdings to over 10% in 2024. Interest in decentralised finance (DeFi) and blockchain applications continues to grow, with two-thirds expressing a desire to explore DeFi, while 61% are keen on AI and decentralised physical infrastructure.
The approval of spot Bitcoin ETFs, particularly in the US and Hong Kong, has driven increased demand for digital assets. The report highlighted that 53% of investors have gained exposure through funds or ETFs, with optimism remaining high as 31% predict Bitcoin could reach $100,000 by the end of 2024.
