タグ: Agents

The most honest answer to the question of what jobs AI will replace by 2030 comes from the people you would most expect to have a number, and they refuse to give one. The Bureau of Labor Statistics writes in its own technical note that if AI accelerates beyond historical patterns, “BLS projection methods are unlikely to yield reasonable results”, and that it will not make adjustments that “would be highly speculative”. The US government’s official labour forecasters looked at this question and declined to answer it. Almost every article you will read on this topic ignores that, and instead recycles two numbers: Goldman Sachs’ 300 million jobs and the […]

The single most AI-proof job in America is also one of its lowest paid. Home health and personal care aides are projected to add 739,800 jobs by 2034, more than any other occupation in the United States, and Microsoft’s researchers score them among the least AI-exposed roles they measured. Their median wage is $34,900, well under the $49,500 median for all occupations. That gap is the story most “AI-proof jobs” lists refuse to tell you. We pulled the two best datasets that exist on this question. One is the Bureau of Labor Statistics employment projections for 2024 to 2034; the other is a Microsoft Research study that scored occupations by […]

The most comprehensive guide to AI agents in 2026. Organized by what you want to do — coding, research, office work, automation, personal use. Honest reviews, pricing, and free options.

Not doom, not hype — a realistic look at how AI agents are changing specific jobs in 2026, backed by data from McKinsey, Gartner, and HBR. Plus: practical steps to stay ahead.

AI agents, RPA, chatbots, and traditional automation compared side-by-side. Real costs, real examples, and a decision framework to help you choose the right approach.

The agent loop, memory, planning, tool use, MCP, multi-agent systems, and security — explained clearly with diagrams. Everything you need to understand how AI agents work in 2026.

AI agents explained in plain language. What they are, how they work, types, real examples, and how they differ from chatbots, copilots, and automation. Updated for 2026.

On October 6 at its 2025 Dev Day, OpenAI unveiled AgentKit—a powerful new toolkit for building, deploying, and optimizing AI agents. Released alongside ChatGPT Apps and the general launch of Codex, it marks a major step in turning ChatGPT into a full development platform. AgentKit brings together everything developers need: visual workflow design, real-time chat UIs, secure data connectors, and built-in evaluation tools. It replaces the need for custom orchestration, manual prompt tuning, and frontend work. But perhaps most importantly, AgentKit positions OpenAI as a direct challenger to traditional no-code platforms like Zapier, n8n, and Make. While those tools helped define automation for the SaaS era, AgentKit aims to redefine it for the AI era—introducing […]

On July 17, OpenAI has unveiled ChatGPT Agent—a general-purpose AI assistant that not only talks but acts. More than just a chatbot, this new system can autonomously browse websites, use APIs, manipulate spreadsheets, run code in a terminal, generate editable documents—and crucially, do all of this using its own virtual computer. While Silicon Valley has been buzzing for over a year about so-called AI agents—intelligent software that can perform multi-step tasks on your behalf—OpenAI’s rollout marks one of the first times that such capabilities are available to mainstream users. Starting this week, subscribers to ChatGPT Pro, Plus, and Team plans can activate Agent Mode to let the model plan their week, generate pitch decks, […]

For decades, futurists have warned of an intelligence explosion—the moment an AI becomes smart enough to redesign itself, triggering runaway gains in capability. The idea, first floated by statistician I. J. Good in 1965, is now back in vogue as researchers pile up concrete demos of self-improving systems. Even Big Tech leaders are starting to circle a date on the calendar. “Somewhere around five years… the systems will begin to write their own code,” former Google CEO Eric Schmidt predicted in late 2024, calling the inflection point “a change in slope.” Why should you care? Because the same feedback loop that could propel machines past human intelligence also promises very earthly dividends […]