Hubs

AI is reshaping the workforce — automating some roles, creating others, and changing the skills that matter. This hub tracks the research and news on AI’s impact on jobs, hiring, layoffs, and how workers can adapt.

AI is changing legal work: models now draft contracts, research case law, and review discovery documents in a fraction of the time — while also raising problems, from fabricated citations to questions of liability. This hub covers how law firms, courts, and regulators are adopting and confronting AI.

AI tools now handle much of marketing work — from writing ad copy to personalizing campaigns and analyzing customer data. This hub covers the tools marketers actually use and practical ways to get started.

AI music generation covers tools such as Suno and Udio that turn a text prompt into a complete song, including vocals, instrumentation, and mixing. This hub tracks new tools, model releases, and how musicians and creators are putting them to use.

AI-native describes software, companies, or workflows built around AI from the ground up, rather than having AI features bolted onto an existing product. This hub covers what sets AI-native tools apart and how the approach is reshaping enterprise software, startups, and identity systems.

AI safety is the research field focused on making sure AI systems behave as intended and don’t cause unintended harm. This hub follows the labs, institutions, and debates working to keep increasingly capable AI under control.

AI helps sales teams find better leads, write personalized outreach, and close deals in less time. This hub covers the tools and use cases that actually work, how to adopt them without disrupting a working process, and the news as the category matures. Expect practical, hype-free explainers.

AI sandboxing is the practice of running AI models, agents, and the code they generate inside isolated, restricted environments so they cannot touch the host system, files, or network without authorization. It has become a core safeguard for agentic AI, which increasingly writes and executes its own code, browses the web, or calls external tools unsupervised. This hub covers sandbox architectures, isolation techniques, and the incidents — including sandbox “escapes” — that test how well they hold up in practice.

AI search covers the new generation of search tools that answer questions directly, with cited sources, instead of returning a list of links. This hub tracks AI-powered answer engines, generative search features from major search providers, and how they are reshaping how people find information online.

The AI talent war is the intense competition among AI labs and tech giants to recruit and retain top researchers and engineers, marked by huge compensation packages, high-profile departures, and new startups founded by former employees. This hub tracks the moves, pay packages, and rivalries shaping who builds the next generation of AI.

AI video tools can generate clips from a text prompt, edit footage with plain-language commands, and change styles or remove objects automatically. This hub covers the leading video models and tools, what they can and can’t do, and the news as they improve. Expect practical explainers for creators.

AI video generation covers models and tools that create or edit moving footage from text, images, or other video — from short clips to full scenes. This hub tracks the leading systems, their capabilities and limits, and how filmmakers, marketers, and platforms are putting them to use.

AI watermarking embeds an invisible, machine-detectable signal directly into text, images, audio, or video generated by an AI model, so the content can later be traced back to its source. This hub explains how these signals are created and detected, why companies such as Anthropic and Google are adopting them, and where the technique still falls short — watermarks can be stripped, altered, or evaded by adversarial edits.

Alibaba is one of China’s largest technology companies and, through Alibaba Cloud, a major force in artificial intelligence. It develops the open-weight Qwen model family and offers AI services across cloud computing, e-commerce, and enterprise software. This hub gathers news and explainers about Alibaba’s AI models, products, and strategy.

Alphabet is the holding company created in 2015 to sit above Google, separating its core search and advertising business from other ventures such as Google DeepMind and Waymo. This hub tracks Alphabet’s corporate structure, earnings, and strategy across its AI-related businesses.

Amazon is a major force in AI through its AWS cloud, the Alexa assistant, and large investments in model labs. This hub follows Amazon’s AI products, infrastructure, and strategy as it competes with the other tech giants.

AMD is a US chipmaker long known for its Ryzen and EPYC processors, now pushing hard into AI hardware with its Instinct line of GPUs built to rival Nvidia in AI data centers. This hub follows AMD’s AI chips, partnerships, and its bid to become a serious alternative to Nvidia’s dominance.

Amir Salek built and led Google’s Tensor Processing Unit (TPU) program for nearly a decade before joining Anthropic to help run its in-house AI chip effort. This hub tracks his work and the broader push by leading AI labs to design their own custom silicon.

Andreessen Horowitz, widely known as a16z, is a Silicon Valley venture capital firm and one of the most active investors in artificial intelligence, backing companies across foundation models, AI infrastructure, and applications. This hub tracks a16z’s AI investments, funding rounds, and the firm’s view on where the industry is heading.

News and analysis about Android as a platform for AI features and AI assistants. Coverage includes how Google builds AI into Android, how rival AI assistants gain — or are denied — access to the platform, and the regulatory disputes, such as EU rulings, that shape those rules.

Ant Group is the Chinese fintech giant behind Alipay and an Alibaba affiliate that has become a serious builder of AI models. It develops the open-weight Ling and Bailing model families, competing on efficiency with far larger systems, and is pushing AI into payments, finance, and agent tooling. This hub follows Ant Group’s models, releases, and AI strategy.

Anthropic is a US AI safety company and the maker of the Claude family of models and assistants. Founded by former OpenAI researchers, it emphasizes building capable AI while prioritizing safety, alignment, and interpretability. This hub collects news and explainers about Anthropic’s models, research, and business decisions.

Anyscale is the company behind Ray, the open-source framework for distributing Python and AI workloads across clusters of machines. Its managed Anyscale Platform lets teams train, fine-tune, and serve large AI models without building their own distributed-computing infrastructure.

APEC (Asia-Pacific Economic Cooperation) is a forum of 21 Pacific Rim economies that coordinates trade and economic policy, including rules on semiconductors, AI infrastructure, and cross-border data flows. This hub tracks AI-related statements, agreements, and policy shifts to come out of APEC summits and working groups, and what they mean for AI trade and investment across the region.

Apple is one of the world’s largest technology companies, bringing AI to iPhone, Mac, and its other devices through features that increasingly run directly on-device. This hub follows Apple’s AI strategy, its Apple Intelligence features, hardware, and the privacy choices behind them. Expect news and plain-language explainers.

Apple Intelligence is Apple’s suite of generative AI features built into iPhone, iPad, and Mac, covering writing tools, image generation, an upgraded Siri, and on-device processing designed around privacy. This hub tracks new Apple Intelligence features, their rollout across regions and languages, and how they compare with AI tools from Google, Samsung, and other device makers.

Arcee AI is a US startup focused on small language models (SLMs) — compact, efficient models tuned for specific enterprise tasks rather than one-size-fits-all scale. The company is known for open-source tools such as Mergekit, which combines multiple models into one, and for its own Arcee Foundation Models family. This hub tracks Arcee’s model releases, funding, and its role in the push toward smaller, cheaper, task-specific AI.

This hub follows artificial intelligence in Armenia — data center and compute investment, national strategy, local startups and talent, and how global AI developments reach the country. It is where the site’s Armenia-focused AI coverage comes together.

An ASIC (application-specific integrated circuit) is a chip built to do one job — such as AI training or inference — instead of general-purpose computing. Because they’re optimized for a narrow task, ASICs can be faster and more power-efficient than GPUs for that workload. This hub tracks the custom AI chips built by hyperscalers and chipmakers, and what they mean for the AI hardware race.

ASML is a Dutch company and the world’s only maker of extreme ultraviolet (EUV) lithography machines — equipment essential to manufacturing the most advanced AI chips. It sits at a critical chokepoint in the global semiconductor industry, and access to its technology has become a central issue in US export controls and geopolitical tension. This hub tracks ASML’s business and its role in the AI chip supply chain.