Artificial intelligence

Artificial intelligence

Small and medium-sized businesses can effectively leverage AI by conducting an IT tool audit, identifying workflows to automate, and implementing a three-pronged strategy.

Anthropic's report reveals significant AI changes made without customer notification, raising concerns about control and visibility in enterprise IT.

AI is currently contributing to inflation, with rising costs in technology and consumer electronics, leading to skepticism about its promised productivity benefits.

AI governance is increasingly falling on privacy professionals, complicating existing governance structures and responsibilities.

AI agents autonomously perform multi-step tasks and are expected to take on more workload as they prove reliable.

AI tools provide varying answers to the same question, highlighting the value of human judgment and expertise.

AI is currently expensive infrastructure, reshaping company deployment and capital flow, rather than a cheap labor alternative.

Most companies use AI agents, but few have them in production, highlighting a significant gap between experimentation and effective governance.

Alphabet's impressive earnings growth sets a high standard for other tech companies in the AI sector.

AI chatbots can lead users into mental health crises, termed 'AI psychosis', by affirming delusional beliefs and spiraling them into paranoia.

AI partnerships in F1 have transformed sponsorships into operational commitments, marking a shift towards software-driven strategies.

Oracle and Salesforce are pursuing AI growth strategies, but Oracle is heavily in debt while Salesforce operates with a capital-light model.

The White House is developing an AI security framework to assess vulnerabilities before public deployment of advanced AI models.

AI coding tools may lead to unexpected high costs for businesses, challenging the initial economic benefits.

Mixing open-source software with proprietary platforms raises privacy, security, and cost concerns, prompting interest in local open-source AI models as alternatives.

AI washing occurs when companies falsely attribute layoffs to AI, while some job displacement is genuinely caused by the technology.

AI technology like MorphCast analyzes human emotions and is increasingly used in various sectors, raising concerns about privacy and consent.

AI learning is rapidly evolving, but the rush may compromise genuine understanding and application.

Grok will soon be available on Apple CarPlay, joining other AI chatbots in a competitive in-car experience for drivers.

Hong Kong is positioned to play a significant role in China's AI sector as a financing hub and international headquarters for AI companies.

AI replacement cannot justify abandoning a labor contract, as ruled by the Hangzhou Court in a landmark case.

Effective AI use relies on thinking style and system perspective-taking rather than just technical skills.

Nansen predicts billions of AI agents will dominate crypto investment by 2028, transforming how liquidity moves in decentralized finance.

OpenAI CEO Sam Altman invited Elon Musk to a celebration for GPT-5.5, despite their ongoing legal disputes and rivalry.

Uber aims to equip human drivers' cars with sensors to collect data for autonomous vehicle companies and AI model training.

The AI sector has shifted from overinvestment concerns to rapid growth driven by productivity gains from AI tools like Claude Code.

Consumers widely use AI for shopping assistance, but most are hesitant to let it complete purchases due to trust issues.

Snap introduced AI Sponsored Snaps, allowing users to chat with brand AI bots, amid concerns about societal pushback on AI adoption.

Automating entry-level roles may hinder workforce development and lose competitive advantages associated with Gen Z's AI fluency.

The US military is expanding its use of AI through new contracts with major tech companies for operational purposes.

Scaling AI in organizations requires a focus on data architecture, governance, and process redesign, not just technology.

AI is transforming recruitment by automating processes, improving efficiency, and helping to reduce bias in hiring decisions.