Line of work
Operations and processes
Operations teams and those who bring tools into a company's work. The main line of work in 6 episodes, and one of the lines in 23 more. Newest first.
Primarily for this line of work · 6 episodes
AI Saves Time. Why Is There More Work?Operations teams · Process ownersWatch →Will AI Solve Your Task—or Make You Lose Money? How to Tell in AdvanceOperations and finance leadersWatch →ChatGPT Is Already Used at Work Even Where the Company Banned It: Maturity Is Defined by Process, Not PolicyChatGPT · Artificial intelligenceWatch →AI Agents Change Work Not by Replacing an Employee, but by Rewriting the Process ItselfProcess ownersWatch →You Can Build Your Own AI Agent Without Programming—but You Still Have to Design the TaskProcess ownersWatch →A No-Code AI Agent: The Model Gets Tools and Begins to Do the WorkProcess ownersWatch →
Also useful for this line of work · 23 episodes
10 Key AI Trends You Can't Afford to Miss: What to Learn and What Not to Waste Time on in the Age of AIManagers and business owners automating processes in their companies.Watch →Can Plugins and Skills Make AI Worse? New Rules for Working With Strong ModelsManagers introducing AI instructions and rules in their teams: which skills live longer and which die off.Watch →GPT-6 Astra — A New Leap for AI? Where It Has Become 2–3 Times StrongerAnyone automating work in programs — accounting, sales, marketing, analytics, finance: this is where the tests show a twofold gain.Watch →Can AI Be Trusted With Important Work? We Checked OpenAI, Anthropic, Google, xAI and MetaPeople deploying AI agents inside a company and answerable for what they do.Watch →Can You Trust a Team of AIs With the Work? Anthropic Tested 80 AgentsAI agents · Anthropic · Claude MythosWatch →AI Makes You More Efficient. Where Does Assistance End and a Violation Begin?Operations teams running high-volume processesWatch →AI-Native: The Future of Companies or the Most Expensive Mistake?Digital transformation leadersWatch →Which Software Will Become Unnecessary? ChatGPT and Claude Are Already Building ItTeams paying for many disconnected software servicesWatch →Fable 5 Returned, GPT-5.6 Was Hidden Behind a New Lineup, and Gemini 3.5 Is Delayed: The Race Has Become Almost Incomprehensible to UsersProcess ownersWatch →How to Use AI Without Losing Money: Build the Knowledge Base First, Then Score People and LeadsChatGPT · Telegram · ClaudeWatch →SpaceX Approached $3 Trillion Because the AI Market Has Started Valuing Entire Infrastructure Empires, Not ModelsOperations teamsWatch →OpenAI Is Changing Work: Why Wait for IT When Codex Builds Your Software? A Breakdown of CodexCodex · OpenAI · ChatGPTWatch →While OpenAI Scales Back Sora, Google and Anthropic Are Turning Legacy Software Into an Unnecessary LayerGoogle · OpenAI · AnthropicWatch →The World of AI Agents Has Already Arrived: A Model Makes Discoveries, Hires People, and Opens New Paths for DeceptionProcess ownersWatch →AI Agents Are Becoming a Systemic Force: One Error Now Travels Through Code, Money, and the Physical WorldProcess ownersWatch →AI Agents Are Not Ready to Replace Work Yet—but They Are Already Changing Prices, GDP, and the Rules of Online StoresProcess ownersWatch →ChatGPT Is Becoming an Operating System: Apps and Agents Now Live Inside One WindowOpenAI · ChatGPT · SoraWatch →ChatGPT-5 in Life and Business: Give People a Strong Model First, Then Build an AgentChatGPT · Deep Research · GPT-5Watch →Manus Sells Finished Work, Not a Smart Model—and That Is Why It Looks Stronger Than ChatGPTProcess ownersWatch →Tech Giants Cannot Deploy AI Because Their Main Problem Is Not the Model—It Is Their Own CompanyOperations teamsWatch →AI Agents Promise to Replace Employees, but They Still Cannot Replace a Bad InterfaceProcess ownersWatch →Claude Can Already Control a Computer, While Apple Intelligence Still Gets in the User's WayApple · Anthropic · OpenAIWatch →Rockets, Drones, and Electric Vehicles: The Future Runs Into Economics and the Cost of FailureProcess ownersWatch →