The tech industry’s focus has shifted from AI’s productivity enhancements to its role in human resources, with AI algorithms now screening candidates and guiding career paths. While this promises efficiency and consistency, concerns about bias and the loss of human oversight remain. A balanced approach is essential to integrate AI responsibly in HR.
Anthropic has launched a beta feature called Code Review for its Claude Code platform, designed for Teams and Enterprise users. It uses AI agents to analyze code pull requests for bugs, enhancing review efficiency. With significant improvements in identifying issues, it aims to alleviate human reviewer overload, ensuring higher code quality and reducing potential catastrophic errors in software deployment.
The next wave of AI is focused on agentic systems capable of interaction with government digital infrastructure. Boston is proactively implementing the Model Context Protocol (MCP) to mediate AI interactions, ensuring reliability and governance. This innovative infrastructure aims to enhance public service access while addressing cybersecurity risks and maintaining data integrity.
Google LLC has enhanced its Workspace tools (Docs, Sheets, Slides, Drive) by integrating its AI model, Gemini. Users can describe document needs, and Gemini generates drafts, unifies writing styles, builds spreadsheets, and creates presentations. The update also improves file searches in Drive, creating personalized knowledge bases, available initially to Google AI Pro and Ultra plan users.
OpenAI is shifting its focus to create an AI researcher capable of tackling complex problems autonomously. The company plans to develop an automated AI intern by September 2024 and a full multi-agent system by 2028, aiming to address challenges across various fields. Both innovation and risks are significant as OpenAI navigates competition and ethical considerations.
The term “skills” refers to structured context pieces that guide language models in specific tasks, originating from an Anthropic specification. Skills are defined through a YAML header in a file called SKILL.md, enabling models to execute tasks with minimal details. Skills can encompass scripts, helping automate processes like pull request checks.
OpenAI’s Codex AI coding assistant has seen rapid growth, tripling its active users and expanding usage fivefold since early 2025. This surge follows new model releases and a desktop app launch, among other improvements. Codex is evolving to assist in complex software projects, offering features beyond mere code generation, including collaborative and rational decision-making capabilities.
OpenAI seeks to boost its new AI product, Frontier, by partnering with major consulting firms like Accenture and McKinsey. These alliances aim to facilitate global adoption among enterprises by leveraging the consultancies’ expertise in strategy and technology integration. Successful implementation will require addressing security, governance, and performance measurement challenges.
The AI boom has advanced with OpenClaw, an open-source platform allowing users to create autonomous agents capable of tasks like email management and multi-step planning. The platform raised concerns about security and user understanding of AI risks. Creator Peter Steinberger sees potential for new AI interactions and is shifting focus to OpenAI.
Perplexity has launched “Computer,” a tool for Perplexity Max subscribers that automates task management by coordinating multiple AI agents. Unlike competitors, it uses various models for specific tasks, operating in a controlled cloud environment. This innovation aims to make advanced AI workflows accessible while addressing security concerns seen in previous tools like OpenClaw.
The article distinguishes between generative AI and agentic AI, highlighting their functions and implications for 2026. Generative AI produces outputs based on prompts, while agentic AI autonomously pursues goals and takes actions. The former remains transactional, while the latter requires careful governance and oversight due to its capability to enact changes without human intervention.
AI Decoded, a Fast Company newsletter, explores the uneven progress of AI in business. Despite billions spent, many companies report negligible impact, while others see positive returns. Adoption challenges arise from organizational culture and existing processes. Meanwhile, concerns about AI’s ethical use in defense highlight tensions between industry and government.
AI, particularly OpenAI’s ChatGPT, is increasingly integrated into Apple’s devices, enhancing productivity. Users can utilize various features, including applets for quick tasks, Siri commands, and image generation. Additionally, ChatGPT aids in writing, shopping advice, and understanding device functionality. Upgrading to paid subscriptions expands capabilities and removes limits.
OpenAI’s ChatGPT Health, launched in January 2026, is a dedicated feature for health-related inquiries within ChatGPT, designed to assist users in understanding medical information without replacing professional advice. It utilizes advanced AI models while adhering to stricter information guidelines, aiming to empower users in health discussions, albeit with crucial limitations.
