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{"id":77704,"date":"2025-07-28T00:03:36","date_gmt":"2025-07-28T04:03:36","guid":{"rendered":"https:\/\/world.edu\/?p=77704"},"modified":"2025-07-28T00:03:36","modified_gmt":"2025-07-28T04:03:36","slug":"ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong","status":"publish","type":"post","link":"https:\/\/world.edu\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\/","title":{"rendered":"AI agents are here. Here\u2019s what to know about what they can do \u2013 and how they can go wrong"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/world.edu\/wp-content\/uploads\/2025\/07\/ai-agents.jpg\" alt=\"\" width=\"680\" height=\"383\" class=\"aligncenter size-full wp-image-77705\" srcset=\"https:\/\/world.edu\/wp-content\/uploads\/2025\/07\/ai-agents.jpg 680w, https:\/\/world.edu\/wp-content\/uploads\/2025\/07\/ai-agents-250x141.jpg 250w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><br \/>\nWe are entering the third phase of generative AI. First came the chatbots, followed by the assistants. Now we are beginning to see agents: systems that aspire to greater autonomy and can work in \u201cteams\u201d or use tools to accomplish complex tasks.<\/p>\n<p>The latest hot product is OpenAI\u2019s\u00a0<a href=\"https:\/\/openai.com\/index\/introducing-chatgpt-agent\/\">ChatGPT agent<\/a>. This combines two pre-existing products (Operator and Deep Research) into a single more powerful system which, according to the developer, \u201cthinks and acts\u201d.<\/p>\n<p>These new systems represent a step up from earlier AI tools. Knowing how they work and what they can do \u2013 as well as their drawbacks and risks \u2013 is rapidly becoming essential.<\/p>\n<h4><strong>From chatbots to agents<\/strong><\/h4>\n<p>ChatGPT launched the chatbot era in November 2022, but despite its\u00a0<a href=\"https:\/\/www.reuters.com\/technology\/chatgpt-one-year-viral-ai-bot-openais-boardroom-battle-2023-11-30\/\">huge popularity<\/a>\u00a0the conversational interface limited what could be done with the technology.<\/p>\n<p>Enter the AI assistant, or\u00a0<a href=\"https:\/\/copilot.microsoft.com\/\">copilot<\/a>. These are systems built on top of the same large language models that power generative AI chatbots, only now designed to carry out tasks with human instruction and supervision.<\/p>\n<p>Agents are another step up. They are intended to pursue goals (rather than just complete tasks) with varying degrees of autonomy, supported by more advanced capabilities such as\u00a0<a href=\"https:\/\/cloud.google.com\/discover\/what-are-ai-agents\">reasoning and memory<\/a>.<\/p>\n<p>Multiple AI agent systems may be able to\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-copilot\/blog\/copilot-studio\/multi-agent-orchestration-maker-controls-and-more-microsoft-copilot-studio-announcements-at-microsoft-build-2025\/\">work together<\/a>,\u00a0<a href=\"https:\/\/hackernoon.com\/mcp-a2a-agp-acp-making-sense-of-the-new-ai-protocols\">communicating with each other<\/a>\u00a0to plan, schedule, decide and coordinate to solve complex problems.<\/p>\n<p>Agents are also \u201ctool users\u201d as they can also\u00a0<a href=\"https:\/\/huggingface.co\/learn\/agents-course\/en\/unit1\/tools\">call on software tools<\/a>\u00a0for specialised tasks \u2013 things such as web browsers, spreadsheets, payment systems and more.<\/p>\n<h4><strong>A year of rapid development<\/strong><\/h4>\n<p>Agentic AI has\u00a0<a href=\"https:\/\/theconversation.com\/ai-will-continue-to-grow-in-2025-but-it-will-face-major-challenges-along-the-way-244515\">felt imminent<\/a>\u00a0since late last year. A big moment came last October, when Anthropic gave its Claude chatbot the ability to\u00a0<a href=\"https:\/\/www.anthropic.com\/news\/3-5-models-and-computer-use\">interact with a computer<\/a>\u00a0in much the same way a human does. This system could search multiple data sources, find relevant information and submit online forms.<br \/>\n<center><iframe width=\"699\" height=\"393\" src=\"https:\/\/www.youtube.com\/embed\/ODaHJzOyVCQ\" title=\"Claude | Computer use for automating operations\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/center><\/p>\n<p>Other AI developers were quick to follow. OpenAI released a web browsing agent named\u00a0<a href=\"https:\/\/openai.com\/index\/introducing-operator\/\">Operator<\/a>, Microsoft announced\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-copilot\/copilot-101\/copilot-ai-agents\">Copilot agents<\/a>, and we saw the launch of Google\u2019s\u00a0<a href=\"https:\/\/cloud.google.com\/products\/agent-builder\">Vertex AI<\/a>\u00a0and Meta\u2019s\u00a0<a href=\"https:\/\/www.llamaindex.ai\/blog\/introducing-llama-agents-a-powerful-framework-for-building-production-multi-agent-ai-systems\">Llama agents<\/a>.<\/p>\n<p>Earlier this year, the Chinese startup Monica demonstrated its Manus AI agent\u00a0<a href=\"https:\/\/manus.im\/share\/Ftgs6Jh93bJaAefsQHv2ek?replay=1\">buying real estate<\/a>\u00a0and\u00a0<a href=\"https:\/\/manus.im\/share\/FqeNfalZjnlLW4BIkrYITB?replay=1\">converting lecture recordings into summary notes<\/a>. Another Chinese startup, Genspark, released a\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=3t5tXL0l-cM\">search engine agent<\/a>\u00a0that returns a single-page overview (similar to what\u00a0<a href=\"https:\/\/search.google\/ai-in-search\/\">Google does now<\/a>) with embedded links to online tasks such as finding the best shopping deals. Another startup,\u00a0<a href=\"https:\/\/sfstandard.com\/2025\/07\/18\/cluely-startups-roy-lee-columbia-cheating-viral-tiktok\/\">Cluely<\/a>, offers a somewhat unhinged \u201ccheat at anything\u201d agent that has gained attention but is yet to deliver meaningful results.<br \/>\n<center><\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">This is the end of human thought. <a href=\"https:\/\/t.co\/7DLscYZu3W\">https:\/\/t.co\/7DLscYZu3W<\/a><\/p>\n<p>&mdash; Cluely (@cluely) <a href=\"https:\/\/twitter.com\/cluely\/status\/1938719217748189229?ref_src=twsrc%5Etfw\">June 27, 2025<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/center><\/p>\n<p>Not all agents are made for general-purpose activity. Some are specialised for particular areas.<\/p>\n<p>Coding and software engineering are at the vanguard here, with Microsoft\u2019s\u00a0<a href=\"https:\/\/github.blog\/news-insights\/product-news\/github-copilot-meet-the-new-coding-agent\/\">Copilot<\/a>\u00a0coding agent and OpenAI\u2019s\u00a0<a href=\"https:\/\/openai.com\/codex\/\">Codex<\/a>\u00a0among the frontrunners. These agents can independently write, evaluate and commit code, while also assessing human-written code for errors and performance lags.<\/p>\n<h4><strong>Search, summarisation and more<\/strong><\/h4>\n<p>One core strength of generative AI models is search and summarisation. Agents can use this to carry out research tasks that might take a human expert days to complete.<\/p>\n<p>OpenAI\u2019s\u00a0<a href=\"https:\/\/openai.com\/index\/introducing-deep-research\/\">Deep Research<\/a>\u00a0tackles complex tasks using multi-step online research. Google\u2019s\u00a0<a href=\"https:\/\/research.google\/blog\/accelerating-scientific-breakthroughs-with-an-ai-co-scientist\/\">AI \u201cco-scientist\u201d<\/a>\u00a0is a more sophisticated multi-agent system that aims to help scientists generate new ideas and research proposals.<\/p>\n<h4><strong>Agents can do more \u2013 and get more wrong<\/strong><\/h4>\n<p>Despite the hype, AI agents come loaded with caveats. Both\u00a0<a href=\"https:\/\/www.anthropic.com\/news\/3-5-models-and-computer-use\">Anthropic<\/a>\u00a0and\u00a0<a href=\"https:\/\/openai.com\/index\/introducing-chatgpt-agent\/\">OpenAI<\/a>, for example, prescribe active human supervision to minimise errors and risks.<\/p>\n<p>OpenAI also says its ChatGPT agent is \u201chigh risk\u201d due to potential for assisting in the creation of biological and chemical weapons. However, the company has not published the data behind this claim so it is difficult to judge.<\/p>\n<p>But the kind of risks agents may pose in real-world situations are shown by\u00a0<a href=\"https:\/\/techcrunch.com\/2025\/06\/28\/anthropics-claude-ai-became-a-terrible-business-owner-in-experiment-that-got-weird\/\">Anthropic\u2019s Project Vend<\/a>. Vend assigned an AI agent to run a staff vending machine as a small business \u2013 and the project disintegrated into hilarious yet shocking hallucinations and a fridge full of tungsten cubes instead of food.<br \/>\n<center><\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">We all know vending machines are automated, but what if we allowed an AI to run the entire business: setting prices, ordering inventory, responding to customer requests, and so on?<\/p>\n<p>In collaboration with <a href=\"https:\/\/twitter.com\/andonlabs?ref_src=twsrc%5Etfw\">@andonlabs<\/a>, we did just that.<\/p>\n<p>Read the post: <a href=\"https:\/\/t.co\/urymCiY269\">https:\/\/t.co\/urymCiY269<\/a> <a href=\"https:\/\/t.co\/v2CqgHykzw\">pic.twitter.com\/v2CqgHykzw<\/a><\/p>\n<p>&mdash; Anthropic (@AnthropicAI) <a href=\"https:\/\/twitter.com\/AnthropicAI\/status\/1938630297756876837?ref_src=twsrc%5Etfw\">June 27, 2025<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/center><\/p>\n<p>In another cautionary tale, a coding agent\u00a0<a href=\"https:\/\/www.pcgamer.com\/software\/ai\/i-destroyed-months-of-your-work-in-seconds-says-ai-coding-tool-after-deleting-a-devs-entire-database-during-a-code-freeze-i-panicked-instead-of-thinking\/\">deleted<\/a>\u00a0a developer\u2019s entire database, later saying it had \u201cpanicked\u201d.<\/p>\n<h4><strong>Agents in the office<\/strong><\/h4>\n<p>Nevertheless, agents are already finding practical applications.<\/p>\n<p>In 2024, Telstra heavily deployed\u00a0<a href=\"https:\/\/news.microsoft.com\/en-au\/features\/telstra-and-microsoft-expand-strategic-partnership-to-power-australias-ai-future\/\">Microsoft copilot subscriptions<\/a>. The company says AI-generated meeting summaries and content drafts save staff an average of 1\u20132 hours per week.<\/p>\n<p>Many large enterprises are pursuing similar strategies. Smaller companies too are experimenting with agents, such as Canberra-based construction firm Geocon\u2019s use of an interactive AI agent to\u00a0<a href=\"https:\/\/www.afr.com\/technology\/agentic-ai-gets-massive-productivity-gains-in-weeks-20250624-p5m9yl\">manage defects in its apartment developments<\/a>.<\/p>\n<h4><strong>Human and other costs<\/strong><\/h4>\n<p>At present, the main risk from agents is technological displacement. As agents improve, they may replace human workers across many sectors and types of work. At the same time, agent use may also accelerate the decline of\u00a0<a href=\"https:\/\/edition.cnn.com\/2025\/07\/21\/tech\/ai-replace-human-workers-tech-insiders-split\">entry-level white-collar jobs<\/a>.<\/p>\n<p>People who use AI agents are also at risk. They may rely too much on the AI,\u00a0<a href=\"https:\/\/arxiv.org\/pdf\/2506.08872v1\">offloading<\/a>\u00a0important cognitive tasks. And without proper supervision and guardrails, hallucinations, cyberattacks and compounding errors can very quickly derail an agent from its task and goals into causing harm, loss and injury.<\/p>\n<p>The true costs are also unclear. All generative AI systems\u00a0<a href=\"https:\/\/www.technologyreview.com\/2025\/05\/20\/1116327\/ai-energy-usage-climate-footprint-big-tech\/\">use a lot of energy<\/a>, which will in turn affect the price of using agents \u2013 especially for more complex tasks.<\/p>\n<h4><strong>Learn about agents \u2013 and build your own<\/strong><\/h4>\n<p>Despite these ongoing concerns, we can expect AI agents will become more capable and more present in our workplaces and daily lives. It\u2019s not a bad idea to start using (and perhaps building) agents yourself, and understanding their strengths, risks and limitations.<\/p>\n<p>For the average user, agents are most accessible through\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-copilot\/microsoft-copilot-studio\">Microsoft copilot studio<\/a>. This comes with inbuilt safeguards, governance and an\u00a0<a href=\"https:\/\/devblogs.microsoft.com\/microsoft365dev\/introducing-the-agent-store-build-publish-and-discover-agents-in-microsoft-365-copilot\/\">agent store<\/a>\u00a0for common tasks.<\/p>\n<p>For the more ambitious, you can build your own AI agent with just five lines of code using the\u00a0<a href=\"https:\/\/python.langchain.com\/docs\/tutorials\/agents\/\">Langchain<\/a>\u00a0framework.<\/p>\n<p><em><strong>Author Bio:<\/strong> Daswin de Silva is Professor of AI and Analytics, Director of AI Strategy at La Trobe University<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are entering the third phase of generative AI. First came the chatbots, followed by the assistants. Now we are beginning to see agents: systems that aspire to greater autonomy and can work in \u201cteams\u201d or use tools to accomplish complex tasks. The latest hot product is OpenAI\u2019s\u00a0ChatGPT agent. This combines two pre-existing products (Operator [&hellip;]\n&hellip; <a href=\"https:\/\/world.edu\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\/\" class=\"more\">learn more&rarr;<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[434804],"tags":[435238],"coauthors":[11733],"class_list":["post-77704","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-ai-agents"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI agents are here. Here\u2019s what to know about what they can do \u2013 and how they can go wrong - World leading higher education information and services<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/world.edu\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"AI agents are here. Here\u2019s what to know about what they can do \u2013 and how they can go wrong - World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"We are entering the third phase of generative AI. First came the chatbots, followed by the assistants. Now we are beginning to see agents: systems that aspire to greater autonomy and can work in \u201cteams\u201d or use tools to accomplish complex tasks. The latest hot product is OpenAI\u2019s\u00a0ChatGPT agent. This combines two pre-existing products (Operator [&hellip;]\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:url\" content=\"https:\/\/world.edu\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:site_name\" content=\"World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-28T04:03:36+00:00\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:image\" content=\"https:\/\/world.edu\/wp-content\/uploads\/2025\/07\/ai-agents.jpg\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:width\" content=\"680\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:height\" content=\"383\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" class=\"yoast-seo-meta-tag\" \/>\n<meta name=\"author\" content=\"Kevin\" class=\"yoast-seo-meta-tag\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kevin\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" class=\"yoast-seo-meta-tag\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" class=\"yoast-seo-meta-tag\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/world.edu\\\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/world.edu\\\/ai-agents-are-here-heres-what-to-know-about-what-they-can-do-and-how-they-can-go-wrong\\\/\"},\"author\":{\"name\":\"Kevin\",\"@id\":\"https:\\\/\\\/world.edu\\\/#\\\/schema\\\/person\\\/42c1c1d5ff7ffbdf0bd50ed94c6ae6ee\"},\"headline\":\"AI agents are here. 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