{"id":53954,"date":"2026-05-01T15:52:43","date_gmt":"2026-05-01T10:22:43","guid":{"rendered":"https:\/\/www.jaipuria.ac.in\/blog\/?p=53954"},"modified":"2026-07-10T11:21:44","modified_gmt":"2026-07-10T05:51:44","slug":"ai-myths-vs-reality-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.jaipuria.ac.in\/blog\/ai-myths-vs-reality-artificial-intelligence\/","title":{"rendered":"AI Myths vs Reality: What People Get Wrong About Artificial Intelligence"},"content":{"rendered":"<p><strong>Table of Contents<\/strong><\/p>\n<ol>\n<li>AI Myths vs Reality: What People Get Wrong About Artificial Intelligence<\/li>\n<li>The Most Common AI Myths, Debunked\n<ul>\n<li>Myth 1: AI Will Replace All Jobs<\/li>\n<li>Myth 2: AI Is Always Right<\/li>\n<li>Myth 3: You Need to Be a Coder to Work With AI<\/li>\n<li>Myth 4: AI Understands Language the Way Humans Do<\/li>\n<li>Myth 5: AI Is a Recent Invention<\/li>\n<li>Myth 6: AI Is Completely Objective<\/li>\n<li>Myth 7: AI Will Become Conscious and Uncontrollable<\/li>\n<li>Myth 8: AI Is Only Relevant for Tech Companies<\/li>\n<li>Myth 9: AI Tools Can Replace Formal Education<\/li>\n<li>Myth 10: AI Is Too Complex for Non-Technical Professionals to Understand<\/li>\n<\/ul>\n<\/li>\n<li>Moving Beyond the Myths<\/li>\n<li>Frequently Asked Questions (FAQs)<\/li>\n<li>Sources<\/li>\n<\/ol>\n<p>Artificial Intelligence(AI) is one of the most discussed and most misunderstood technologies in the world today.<\/p>\n<p>Some people overestimate what AI can do, expecting it to replace entire professions overnight. Others underestimate it, assuming it is simply an advanced calculator with no bearing on their career or industry.<\/p>\n<p>Neither view is accurate. Understanding AI realistically is one of the most valuable things a student or professional can do in 2026.<\/p>\n<h2><b>Key Takeaways<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Many common beliefs about AI are misconceptions that either overestimate or underestimate its capabilities.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI automates tasks rather than replacing entire professions, making human skills like leadership and strategic thinking more valuable.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI systems can produce errors, inherit biases, and require human oversight for responsible decision-making.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Business professionals do not need programming expertise to work effectively with AI, but AI literacy is becoming essential.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI is transforming industries beyond technology, including healthcare, finance, retail, manufacturing, education, and consulting.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Future-ready business schools such as Jaipuria Institute of Management integrate AI into the curriculum to prepare students for an AI-driven economy.<\/span><\/li>\n<\/ul>\n<h2>The Most Common AI Myths, Debunked<\/h2>\n<h3>Myth 1: AI Will Replace All Jobs<\/h3>\n<p><strong>Reality:<\/strong> AI replaces tasks, not roles.<\/p>\n<p>The World Economic Forum&#8217;s Future of Jobs Report projects that while AI will displace some jobs, it will also create 170 million new roles by 2030, resulting in a net positive.<\/p>\n<p><strong>What AI replaces:<\/strong><\/p>\n<ul>\n<li>Repetitive, rule-based tasks<\/li>\n<li>Data entry and basic processing<\/li>\n<li>Standardised customer queries<\/li>\n<\/ul>\n<p><strong>What AI cannot replace:<\/strong><\/p>\n<ul>\n<li>Strategic judgement<\/li>\n<li>Emotional intelligence and leadership<\/li>\n<li>Creative problem-solving<\/li>\n<li>Relationship management<\/li>\n<li>Ethical decision-making<\/li>\n<\/ul>\n<p>The roles most at risk are those defined almost entirely by routine execution. Management roles requiring judgement and leadership are not.<\/p>\n<h3>Myth 2: AI Is Always Right<\/h3>\n<p><strong>Reality:<\/strong> AI systems make errors and inherit biases.<\/p>\n<p>AI models are only as good as the data they are trained on.<\/p>\n<p><strong>Common AI failure modes:<\/strong><\/p>\n<ul>\n<li>Biased outputs from biased training data<\/li>\n<li>Overconfidence in statistically incorrect predictions<\/li>\n<li>Failure in unfamiliar or edge-case scenarios<\/li>\n<li>Inability to account for context beyond training patterns<\/li>\n<\/ul>\n<p>IBM and MIT research have documented cases of significant AI error rates in facial recognition, credit scoring, and hiring tools, particularly for underrepresented groups.<\/p>\n<h3>Myth 3: You Need to Be a Coder to Work With AI<\/h3>\n<p><strong>Reality:<\/strong> Most AI roles in business require analytical thinking, not programming.<\/p>\n<p><strong>Business-focused AI roles require:<\/strong><\/p>\n<ul>\n<li>Understanding what data is available and what it can reveal<\/li>\n<li>Ability to interpret and communicate AI outputs<\/li>\n<li>Judgement about when to trust and when to question AI recommendations<\/li>\n<li>Knowledge of relevant business context<\/li>\n<\/ul>\n<p>At <a href=\"https:\/\/www.jaipuria.ac.in\/\" target=\"_blank\" rel=\"noopener\">Jaipuria Institute of Management<\/a>, <span style=\"font-weight: 400;\">GenAI for Managers is a mandatory core subject for all its PGDM students regardless of specialisation, precisely because AI literacy at a business level is now a baseline professional requirement.<\/span><\/p>\n<h3>Myth 4: AI Understands Language the Way Humans Do<\/h3>\n<p><strong>Reality:<\/strong> AI processes patterns, not meaning.<\/p>\n<p><span style=\"font-weight: 400;\">Large language models can generate highly fluent text and appear to understand language. In practice, they identify and reproduce statistical patterns from vast training datasets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Implications:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI can produce plausible-sounding but factually incorrect statements<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It cannot reason from first principles the way humans can<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It lacks genuine comprehension, common sense, or contextual awareness beyond its training<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This is why human oversight of AI-generated content and decisions remains essential in professional and organisational contexts.<\/span><\/p>\n<h3>Myth 5: AI Is a Recent Invention<\/h3>\n<p><strong>Reality:<\/strong> AI has been in development since the 1950s.<\/p>\n<p><span style=\"font-weight: 400;\">Key milestones:<\/span><\/p>\n<table class=\"ui-sortable-handle\" border=\"2\" width=\"100%\" data-first-row-header=\"true\">\n<tbody>\n<tr>\n<th><strong>Year<\/strong><\/th>\n<th><strong>Development<\/strong><\/th>\n<\/tr>\n<tr>\n<td>1956<\/td>\n<td>The term &#8220;<a href=\"https:\/\/www.jaipuria.ac.in\/blog\/artificial-intelligence-ai-meaning-uses-importance\/\">artificial intelligence<\/a>&#8221; was coined at the Dartmouth Conference<\/td>\n<\/tr>\n<tr>\n<td>1997<\/td>\n<td>IBM&#8217;s Deep Blue defeats chess champion<\/td>\n<\/tr>\n<tr>\n<td>2011<\/td>\n<td>IBM Watson wins Jeopardy<\/td>\n<\/tr>\n<tr>\n<td>2016<\/td>\n<td>AlphaGo defeats Go champion<\/td>\n<\/tr>\n<tr>\n<td>2022<\/td>\n<td>ChatGPT reaches 100 million users<\/td>\n<\/tr>\n<tr>\n<td>2026<\/td>\n<td>AI embedded across industries<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Myth 6: AI Is Completely Objective<\/h3>\n<p><strong>Reality:<\/strong> AI reflects the biases of its creators and data.<\/p>\n<p><span style=\"font-weight: 400;\">A hiring algorithm trained on past hiring decisions that favoured particular demographic groups will tend to reproduce those biases in its recommendations. A credit scoring model trained on historical lending data may embed historical inequalities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is why AI ethics and governance are increasingly recognised as strategic necessities, not optional considerations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The OECD, EU, and NASSCOM have all published frameworks emphasising fairness, transparency, and accountability as requirements for responsible AI deployment.<\/span><\/p>\n<h3>Myth 7: AI Will Become Conscious and Uncontrollable<\/h3>\n<p><strong>Reality:<\/strong> Current Artificial Intelligence(AI) systems have no consciousness or self-awareness.<\/p>\n<p><span style=\"font-weight: 400;\">Generative AI and machine learning systems are pattern-matching and prediction tools. They do not have:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Desires or intentions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Self-awareness or consciousness<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The ability to set their own goals<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Motivation to act outside their design<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">While long-term AI safety is a legitimate area of research, current AI systems pose risks through misuse and misapplication, not through self-directed action.<\/span><\/p>\n<h3>Myth 8: AI Is Only Relevant for Tech Companies<\/h3>\n<p><strong>Reality:<\/strong> AI is transforming every industry.<\/p>\n<div class=\"tablescroll\">\n<table class=\"ui-sortable-handle\" border=\"2\" width=\"100%\">\n<tbody>\n<tr>\n<td><b>Sector<\/b><\/td>\n<td><b>AI Application<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Diagnostic imaging, patient monitoring<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Agriculture<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Crop disease detection, precision irrigation<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Finance<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Fraud detection, credit scoring<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Retail<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Demand forecasting, personalisation<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Education<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Adaptive learning, AI tutors<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Manufacturing<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Predictive maintenance, quality control<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Consulting<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Data-driven client strategy<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><span style=\"font-weight: 400;\">Management graduates working in any of these sectors need AI literacy to perform effectively. This is why Jaipuria Institute of Management embeds AI across all specialisations, including Marketing, Finance, HR, and Operations, rather than confining it to a single technical track.<\/span><\/p>\n<h3>Myth 9: AI Tools Can Replace Formal Education<\/h3>\n<p><strong>Reality:<\/strong> Artificial Intelligence(AI) tools accelerate learning; education converts it into outcomes.<\/p>\n<p><span style=\"font-weight: 400;\">Tools like ChatGPT, Claude, and Perplexity are powerful for understanding concepts, practicing skills, and working more efficiently. But formal education offers advantages that are harder to replicate independently:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Structured access to placements and recruiters<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Peer learning, collaboration, and long-term networks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Faculty mentorship and guided feedback<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A recognised credential that signals consistency and capability<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The real edge comes from combining both: using AI to learn faster, and formal education to convert that learning into credible opportunities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At Jaipuria Institute of Management, AI is woven into the learning experience through tools like AI-Lingo, Campus Intelligence, and immersive simulations. Combined with a full-time programme that offers industry exposure, placements, a strong alumni network, and professional development, students graduate with both AI literacy and practical business skills.<\/span><\/p>\n<h3>Myth 10: AI Is Too Complex for Non-Technical Professionals<\/h3>\n<p><strong>Reality:<\/strong> Business-level AI literacy is accessible and essential.<\/p>\n<p><span style=\"font-weight: 400;\">Understanding AI does not require knowledge of mathematics or programming. It requires:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Knowing what problems AI can and cannot solve<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding how training data affects AI outputs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recognising when to trust and when to scrutinise AI recommendations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding basic governance and ethics requirements<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This is exactly what well-designed management programmes aim to achieve. At Jaipuria Institute of Management, GenAI for Managers is a core course that equips all PGDM students with practical AI literacy, enabling them to understand, evaluate, and apply AI confidently in business, regardless of their technical background.<\/span><\/p>\n<h2>Moving Beyond the Myths<\/h2>\n<p><span style=\"font-weight: 400;\">Understanding AI accurately matters. Overestimating it leads to unnecessary fear. Underestimating it leads to missed opportunities and inadequate preparation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The professionals who will perform best in an AI-driven economy are those who understand what AI can genuinely do, where its limitations lie, and how to apply it responsibly within business and management contexts.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Institutions like <a href=\"https:\/\/www.jaipuria.ac.in\/\" target=\"_blank\" rel=\"noopener\">Jaipuria Institute of Management<\/a> are preparing this generation of managers through AI-native education that combines genuine technical literacy with business application, ethical reasoning, and practical placement preparation.<\/span><\/p>\n<h4>Frequently Asked Questions (FAQs)<\/h4>\n<h5>Will AI really replace human jobs?<\/h5>\n<p>AI will change the nature of many roles and automate specific tasks, but the World Economic Forum projects a net gain in jobs as new roles are created alongside displacement.<\/p>\n<h5>Is Artificial Intelligence(AI) always accurate?<\/h5>\n<p>No. AI systems make errors, produce biased outputs, and can fail in scenarios outside their training data. Human oversight remains essential.<\/p>\n<h5>Do you need coding to work with AI?<\/h5>\n<p>No. For most business roles, AI literacy and business application are more important than coding.<\/p>\n<h5>Is AI biased?<\/h5>\n<p><span style=\"font-weight: 400;\">AI systems can reflect biases present in their training data. Addressing this requires diverse data, rigorous testing, and ongoing monitoring.<\/span><\/p>\n<h5>Is AI relevant outside the technology industry?<\/h5>\n<p><span style=\"font-weight: 400;\">Yes. AI is being deployed across healthcare, agriculture, finance, retail, education, and manufacturing, making AI literacy relevant for professionals in any sector.<\/span><\/p>\n<h5>Are fears about uncontrollable AI justified?<\/h5>\n<p><span style=\"font-weight: 400;\">Current AI systems have no consciousness or self-directed goals. AI risks in 2026 arise from misuse and poor governance, not from autonomous behaviour.<\/span><\/p>\n<h5>Can non-technical students study AI?<\/h5>\n<p><span style=\"font-weight: 400;\">Yes. Business-focused AI literacy is accessible and increasingly important for management students. Courses like GenAI for Managers at Jaipuria Institute of Management are designed for this purpose.<\/span><\/p>\n<h5>What is the most important thing to understand about AI in 2026?<\/h5>\n<p><span style=\"font-weight: 400;\">That AI is a powerful tool with real limitations. Understanding both dimensions, what it can and cannot do, is essential for using it responsibly and effectively in professional contexts.<\/span><\/p>\n<h4>Sources<\/h4>\n<ul>\n<li><a href=\"https:\/\/reports.weforum.org\/docs\/WEF_Future_of_Jobs_Report_2025.pdf\" rel=\"nofollow \">Future of Jobs Report 2025<\/a><\/li>\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2667096823000125\" rel=\"nofollow \">How can we manage biases in artificial intelligence systems<\/a><\/li>\n<li><a href=\"https:\/\/static.pib.gov.in\/WriteReadData\/specificdocs\/documents\/2025\/nov\/doc2025115685601.pdf\" rel=\"nofollow \">India AI Governance Guidelines<\/a><\/li>\n<\/ul>\n<h5 style=\"text-align: center;\" align=\"justify\">Trending AI-based Knowledge Sharing Videos of <a href=\"https:\/\/www.youtube.com\/channel\/UCXCLzfCZqCJaQOM-shiuXeg\" target=\"\\_blank\" rel=\"noopener\">Jaipuria Institute of Management<\/a><\/h5>\n<table class=\"video-table\" align=\"center\">\n<tbody>\n<tr>\n<td><iframe title=\"Your Engineering Degree Isn't Enough - Why AI Skills are Mandatory Now\" src=\"https:\/\/www.youtube.com\/embed\/VQyXSo4WeAc?si=1kH9B0ztCjPeLGPI\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/td>\n<td><iframe title=\"AI Will Augment Your Intelligence\u2014But Original Thinking is What Gets You Hired\" src=\"https:\/\/www.youtube.com\/embed\/BQKYzrz-dds?si=pxTbVyYA9zmcLSsO\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span>   <\/iframe><\/td>\n<\/tr>\n<tr>\n<td><iframe title=\"You Won't Be Asked to Code\u2014But If You Can't Speak Tech Language, You're Out\" src=\"https:\/\/www.youtube.com\/embed\/kwK1zGABryw?si=5Zd7UAh03iDKlO9K\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/td>\n<td><iframe title=\"Communication, Learnability, Critical Thinking: The 3 Skills AI Can't Automate Away\" src=\"https:\/\/www.youtube.com\/embed\/PH44MYLp5_o?si=YeHLMNkzDAxP_MFz\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Misconceptions about artificial intelligence are widespread, ranging from fears of immediate job replacement to overestimation of AI&#8217;s current capabilities. This article separates AI myths from reality, examining what AI can genuinely do, where its limitations lie, and how businesses and students should think about AI accurately. Understanding the truth about AI is increasingly important for making informed career, educational, and organisational decisions in 2026.<\/p>\n","protected":false},"author":11,"featured_media":53955,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2090,2049,2345,579,43,38,527,526,525,290,523,37,524],"tags":[3309,3315,3313,3312,3308,3310,3307,3277,3274,396,656,3314,1007,3200,2757,2595,3171,65,3124,3275,1213,3276,3278,3311],"class_list":["post-53954","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-native","category-article-spotlight","category-artificial-intelligence-ai","category-featured-home","category-academics","category-featured-stories","category-jaipuria-home","category-jaipuria-indore-home","category-jaipuria-jaipur-home","category-jaipuria-knowledge","category-jaipuria-lucknow-home","category-news","category-jaipuria-noida-home","tag-ai-facts-and-myths","tag-ai-facts-india","tag-ai-fears-debunked","tag-ai-limitations-2026","tag-ai-misconceptions","tag-ai-myths-debunked","tag-ai-myths-vs-reality","tag-ai-literacy","tag-ai-myths","tag-artificial-intelligence","tag-business-analytics","tag-common-ai-myths-india","tag-digital-transformation","tag-future-of-work","tag-genai","tag-jaipuria-ai-curriculum","tag-jaipuria-genai-for-managers","tag-jaipuria-institute-of-management","tag-jaipuria-pgdm-noida","tag-machine-learning","tag-management-education","tag-mba-ai","tag-technology-trends-india","tag-truth-about-artificial-intelligence"],"acf":{"blog_image":53957},"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"Explore common AI myths and realities. 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