AI transforms workplaces, boosting productivity, creativity, and collaboration through intelligent agents that streamline tasks, enhance communication, and empower data-driven decision-making for employees and leaders across industries.
AI tools like Cursor initially slow down developers by 19% as they adapt, but experienced users see major productivity boosts after overcoming the learning curve, despite overestimating AI's impact initially.
AI is revolutionizing the African job market by unbundling tasks from traditional professions, enabling a new ecosystem of 'micro professionals' augmented by AI, while traditional experts focus on complex cases, training AI, and oversight.
Anthropic engineers adapt to AI coding agents like Claude Code, exploring in a webinar how these agents change developer experience, enable secure scalable workflows, and predict the future of AI-integrated software development alongside leaders from Coder.
Microsoft raids Google DeepMind for AI talent, hiring around two dozen employees in recent months to bolster its Copilot assistant led by former DeepMind co-founder Mustafa Suleyman, intensifying the fierce competition between tech giants for top AI talent.
Teenagers embrace AI companions for guidance and emotional support, with over 70% using them and half regularly, sparking concerns about AI redefining human connections and youth mental health.
Agentforce revolutionizes team collaboration by unleashing AI-powered agents within Slack, enabling seamless workflow automation, data insights, and customizable templates for rapid deployment of digital teammates tailored to specific needs.
A groundbreaking study unveils the majority of US teenagers embracing AI companions, with 72% utilizing them; while nearly half perceive them as tools or programs, one-third engage for social interaction, yet 80% who use AI companions prioritize spending time with real friends.
Groundbreaking research exposes limitations of AI in software engineering, highlighting challenges with large codebases, proprietary conventions, and lack of uncertainty handling, prompting calls for richer data, evaluation suites, and transparent AI-human collaboration tools.
AI developers with expertise in data infrastructure, system integration, prompt engineering, and strategic thinking are in high demand as companies seek to harness AI's business impact while ensuring safety and reliability.