Filipino outsourcing workers face job losses as multinational companies increasingly adopt generative AI to cut costs, threatening a cornerstone of the nation's economy.
US lawmakers have raised national security concerns regarding DoorDash's potential use of Chinese AI models, citing growing dependence on PRC-developed technology. They have requested an in-person briefing with DoorDash staff by August 21 to discuss the issue.
Moonshot's Beijing-based start-up introduces the Kimi Ambassador Program, targeting passionate users to build communities and drive AI adoption, offering perks like early access to Kimi models and API credits.
A Google Research study analyzing 15 million AI interactions across various occupations finds that AI use is widespread but shallow, primarily augmenting human work through collaborative, non-end-to-end automation, with significant impact only in a subset of tasks
Small businesses in the US are leveraging AI to streamline operations, reduce errors, and enhance employee productivity, contrary to fears of job replacement. With a declining workforce and labor shortages, AI is seen as a tool to support, not supplant, human workers.
Beijing plans to increase its intelligent computing power to over 130,000 petaflops by late 2026 and implement new policies for its "token economy," accelerating AI adoption to compete with the US in the tech race.
Ant Digital Technologies, Alibaba's fintech affiliate, launched "Agentar 2.0," an upgraded AI agent platform featuring 200 digital expert templates. CEO Cyril Han Xinyi stated the platform aims to restructure enterprise workflows for collective productivity, moving beyond individual task acceleration.
South Korea plans to revise regulations and speed up AI adoption in its service sector, aiming to lead in AI agentic commerce and support new mobility services. The government will facilitate testing of AI agents in shopping and apply AI to public services.
Cisco will deploy personalized AI agents to its 90,000 employees starting in August, aiming to optimize tasks, reduce costs, and enhance data security. The company is also investing in upskilling programs and seeing significant AI-driven growth in its financial operations and orders.
China's Ministry of Industry and Information Technology and seven other agencies released a plan Tuesday to expand digital infrastructure, boost AI in factories, and develop industrial internet platforms. Targets include 50,000 industrial 5G private networks by 2030.
A Chinese survey shows over 96% awareness and 54% usage of AI, with 40% using it in daily life, work, or study. In contrast, US Gen Z workers express concerns about AI threatening jobs and devaluing degrees.
Corporate India's cybersecurity spending has jumped 30% year-on-year, driven by AI adoption and regulatory pressure. Even manufacturing sectors are increasing investments to protect data and AI systems, making cybersecurity a crucial operational expense.
Oracle has confirmed significant global layoffs, eliminating thousands of roles as part of a major restructuring. The company cited AI adoption, management changes, and acquisitions as drivers, with severance packages reportedly thinner than competitors'.
AWS Summit Hong Kong 2026 highlighted the rapid growth of agentic AI, with predictions of over 1 billion agents by 2029. The event showcased practical roadmaps for enterprise adoption, focusing on human-machine collaboration, data, security, and cloud innovation. Key announcements included a deepened partnership with HKSTP to support AI startups and talent development.
Accenture's stock dropped nearly 20% after reporting Q3 revenues of $18.7 billion, up year-over-year but below expectations, with a 2% decline in new bookings. CEO Julie Sweet urged investors to focus on AI adoption as a long-term growth driver.
Accenture's stock dropped nearly 20% after reporting Q3 revenues of $18.7B, up year-over-year but below expectations, with a 2% decline in new bookings. CEO Julie Sweet urged investors to focus on AI adoption as a long-term growth driver.
Nvidia CEO Jensen Huang stated he doesn't support the US government taking a stake in AI companies, arguing Americans already benefit through investments, jobs, and taxes. He also highlighted energy production as a critical challenge for US AI ambitions.
A new program at the Hong Kong AI Foundation trains senior executives to lead AI-native business transformations, focusing on strategic integration rather than add-ons. It addresses technical, organizational, and leadership challenges, preparing leaders for a future of human-AI collaboration and agility.
A KPMG study reveals Saudi Arabia as a top global market for tech trust and efficiency, fueled by digital investments and AI adoption. Saudi institutions are outperforming global peers in converting tech investments into tangible financial returns, with a high expectation for AI-driven growth and a significant lead in cybersecurity maturity.
Anthropic and Tata Consultancy Services (TCS) have partnered to accelerate enterprise adoption of Anthropic's AI models. TCS will create a dedicated business unit, gain early access to new models, and deploy Claude AI to its employees. The collaboration aims to develop solutions for sectors like finance, healthcare, and aviation, with TCS's Diligenta and iON platforms also set to leverage Claude.
Hiren Ved, Director and CIO of Alchemy Capital Management, states India is in an 'Opportunity Kaal' regarding AI, not a drought. He predicts companies aggressively using AI will surpass rivals within five years, urging investors to identify firms effectively leveraging this technology for competitive advantage and future growth.
India's real estate sector is rapidly adopting AI, with corporate adoption jumping from under 5% in 2023 to 91% in 2025. The market is projected to grow from $650 billion to $5.8 trillion by 2047, driven by technology and supportive policies.
President Trump signs a memo to accelerate AI adoption across US federal defense agencies, adapting best commercial and open-source technologies for military use, with a focus on security, reliability, and responsible handling.
Canada's "AI for All" strategy aims to boost the domestic AI industry and ensure the technology benefits citizens. It includes plans for updated legislation on personal information protection, an online safety regime, AI literacy training, and investment in a public AI supercomputer.
