{"slug": "chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer", "title": "ChatGPT Is Dying. We Won’t Use AI Like This for Much Longer.", "summary": "The era of manually prompting chatbots like ChatGPT is ending, as AI agents that autonomously execute workflows replace the copy-paste interaction model, according to an essay arguing that users will increasingly expect systems to act on context rather than answer queries. The piece predicts the progression from websites to search to answers to actions will make the chatbot interface obsolete, with companies like OpenAI, Anthropic, and Google competing on benchmarks but consumers ultimately caring only about whether tasks are completed.", "body_md": "I still use ChatGPT almost every day.\n\nThat’s exactly why I think ChatGPT is dying.\n\nNot OpenAI.\n\nNot GPT.\n\nNot generative AI.\n\nI’m talking about something much more specific:\n\n**the habit of opening a chatbot and asking it what to do.**\n\nFor the last few years, this has felt like the future.\n\nOpen ChatGPT.\n\nType a prompt.\n\nWait.\n\nRead the answer.\n\nCopy it.\n\nPaste it somewhere else.\n\nMaybe correct the prompt.\n\nCopy another answer.\n\nRepeat.\n\nIt feels incredibly advanced compared with traditional search.\n\nBut lately I’ve started thinking:\n\n**Why am I still doing all this manual work?**\n\nSuppose I receive 40 emails.\n\nI don’t actually want to ask:\n\n*“Help me decide which emails are important.”*\n\nI want the important ones identified.\n\nMaybe summarized.\n\nMaybe turned into tasks.\n\nMaybe draft responses prepared.\n\nMaybe meetings extracted.\n\nI don’t want advice about doing the workflow.\n\n**I want the workflow done.**\n\nThat’s a subtle difference.\n\nBut I think it changes the entire AI industry.\n\nThis is the weirdest part of using ChatGPT today.\n\nChatGPT writes something.\n\nI copy it into Gmail.\n\nChatGPT analyzes something.\n\nI copy the result into Slack.\n\nChatGPT generates code.\n\nI move it into my repository.\n\nChatGPT gives me research.\n\nI put it into a document.\n\nChatGPT creates a plan.\n\nI manually execute the plan.\n\nThe AI is intelligent.\n\nBut **I’m still the API.**\n\nI’m moving information between systems.\n\nI’m providing context.\n\nI’m executing decisions.\n\nI’m reporting what happened back to the AI.\n\nThat feels temporary.\n\nThink about what prompting actually is.\n\nYou’re manually telling a machine:\n\nwhat happened,\n\nwhat you want,\n\nwhat context matters,\n\nwhat rules it should follow,\n\nand what output you expect.\n\nBut companies already have enormous amounts of that context.\n\nEmail.\n\nCalendar.\n\nSlack.\n\nGitHub.\n\nCRM.\n\nDatabases.\n\nDocuments.\n\nTickets.\n\nAnalytics.\n\nInternal systems.\n\nWhat happens when AI already has the relevant context and permission?\n\nYou stop writing:\n\n*“Here are 17 customer complaints. Please categorize them.”*\n\nThe system already knows they arrived.\n\nIt categorizes them.\n\nEscalates unusual cases.\n\nPrepares responses.\n\nUpdates the appropriate system.\n\nThen maybe asks you about the three cases where human judgment actually matters.\n\nThat’s not a better chatbot.\n\nThat’s the disappearance of the chatbot.\n\nThe internet used to require us to know where information lived.\n\nThen search engines gave us a box.\n\nWe typed what we wanted.\n\nThey gave us links.\n\nChatGPT compressed another step.\n\nIt gave us an answer.\n\nNow AI agents are attacking the next step.\n\nYou specify what you want.\n\n**The system attempts to accomplish it.**\n\nThe progression is interesting:\n\n**Website → Search → Answer → Action**\n\nEach transition removes work from the human.\n\nChatGPT dominates the “answer” era.\n\nI’m not convinced the answer era lasts forever.\n\nEvery few months we get another benchmark war.\n\nGPT is ahead.\n\nClaude is ahead.\n\nGemini is ahead.\n\nNew model.\n\nBigger context window.\n\nBetter reasoning.\n\nBetter coding.\n\nHigher benchmark score.\n\nAll useful.\n\nBut I think consumers eventually stop caring about most of this.\n\nNobody asks:\n\n**“Which database technology does Uber use before I request a ride?”**\n\nThey want the ride.\n\nAI may become similar.\n\nThe model matters enormously to the company building the system.\n\nThe user increasingly cares about:\n\n**Did it work?**\n\nA few years ago, “prompt engineer” sounded like a completely new profession.\n\nPeople shared enormous prompts.\n\nPrompt marketplaces appeared.\n\nThousands of posts taught:\n\n**10 prompts that will change your life.**\n\nSome of that is still useful.\n\nBut the direction seems obvious.\n\nGood AI systems should require **less prompting**, not more.\n\nIf I need a 900-word prompt every time I want software to perform a routine business task, the software isn’t finished.\n\nThe system should know:\n\nthe workflow,\n\nthe rules,\n\nthe available tools,\n\nthe permissions,\n\nthe company context,\n\nand when to ask a human.\n\nPrompt engineering doesn’t disappear completely.\n\nIt becomes infrastructure.\n\nUsers shouldn’t have to think about it.\n\nThe moment AI moves from:\n\n**“Here’s what I recommend.”**\n\nto:\n\n**“I did it.”**\n\neverything gets harder.\n\nA hallucinated paragraph is annoying.\n\nA hallucinated database operation is terrifying.\n\nA wrong answer can be ignored.\n\nA wrong action might need to be reversed.\n\nNow we need:\n\npermissions,\n\napproval gates,\n\naudit trails,\n\nrollback,\n\nobservability,\n\ndata boundaries,\n\nfailure handling,\n\nand human escalation.\n\nThis is why building an impressive AI demo has become relatively easy.\n\nBuilding an AI system a company trusts is still hard.\n\nThat sounds ridiculous.\n\nBut successful technologies often disappear into infrastructure.\n\nYou stop thinking about the technology itself.\n\nYou just expect things to work.\n\nAI may follow the same path.\n\nToday:\n\n**“I’ll ask ChatGPT.”**\n\nTomorrow:\n\nyour development environment understands the repository.\n\nYour inbox understands which messages matter.\n\nYour CRM understands which accounts need attention.\n\nYour internal tools understand company workflows.\n\nYour support system resolves routine cases.\n\nYour analytics system investigates anomalies.\n\nYou don’t necessarily visit AI.\n\n**AI is already there.**\n\nObviously millions of people aren’t going to stop using chatbots tomorrow.\n\nChat is an incredibly natural interface.\n\nThere will always be situations where conversation is exactly what we want.\n\nLearning.\n\nBrainstorming.\n\nExploring.\n\nWriting.\n\nAsking questions.\n\nThinking through ideas.\n\nChat is fantastic for those things.\n\nWhat’s dying is the idea that **chat is the final interface for everything AI can do.**\n\nIt isn’t.\n\nSometimes I don’t want to talk about the work.\n\nI want the work completed.\n\nThat’s the part I find most interesting.\n\nToday AI companies compete for our attention.\n\nOpen this app.\n\nVisit this website.\n\nUse this chatbot.\n\nTomorrow the winning AI might compete for something much more valuable:\n\n**permission to act.**\n\nPermission to read the relevant information.\n\nPermission to use tools.\n\nPermission to make low-risk decisions.\n\nPermission to execute workflows.\n\nPermission to involve you only when necessary.\n\nThat changes the product completely.\n\nThe most important question in AI may stop being:\n\n**“Which chatbot gives the best answer?”**\n\nand become:\n\n**“Which system do you trust enough to actually do something?”**\n\nThat’s a much harder problem.\n\nAnd probably a much bigger business.\n\nSo yes.\n\nI think ChatGPT is dying.\n\nNot because people don’t want AI.\n\nBecause eventually…\n\n**asking AI what to do may feel unnecessarily primitive.**\n\nAs AI moves from generating answers to generating and modifying real software, the dangerous part becomes verification.\n\nI built **The AI Backend Production Safety OS** around guardrails, production failure modes, and reviewing code produced with Claude Code, Cursor and Codex.\n\n[The AI Backend Production Safety OS: Guardrails for Claude Code, Cursor & Codex](https://devrimozcay.gumroad.com/l/rhqqg)\n\nI write on **Substack** about AI agents, software engineering, production systems, and what happens when AI stops being something we visit and becomes something that works around us.\n\nThat’s what I’m building with **ProdRescue AI**.\n\nWe build custom AI agents, internal tools, copilots, integrations and workflow automations around real business processes.\n\nIf your company has people repeatedly copying information between systems, generating the same reports, processing requests manually, or doing work that software should probably handle:\n\nThe question isn’t whether ChatGPT will still exist.\n\n**It’s whether you’ll still need to open it.**\n\n[ChatGPT Is Dying. We Won’t Use AI Like This for Much Longer.](https://blog.stackademic.com/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer-96efd6adc019) was originally published in [Stackademic](https://blog.stackademic.com) on Medium, where people are continuing the conversation by highlighting and responding to this story.", "url": "https://wpnews.pro/news/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer", "canonical_source": "https://blog.stackademic.com/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer-96efd6adc019?source=rss----d1baaa8417a4---4", "published_at": "2026-09-08 16:39:53+00:00", "updated_at": "2026-09-08 16:55:35.540344+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-products", "generative-ai"], "entities": ["ChatGPT", "OpenAI", "Anthropic", "Google", "Gmail", "Slack", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer", "markdown": "https://wpnews.pro/news/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer.md", "text": "https://wpnews.pro/news/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer.txt", "jsonld": "https://wpnews.pro/news/chatgpt-is-dying-we-wont-use-ai-like-this-for-much-longer.jsonld"}}