{"id":17811,"date":"2026-05-06T16:52:30","date_gmt":"2026-05-06T15:52:30","guid":{"rendered":"https:\/\/qstory.ai\/us\/?p=17811"},"modified":"2026-05-20T16:57:22","modified_gmt":"2026-05-20T15:57:22","slug":"agentic-ai-vs-humans","status":"publish","type":"post","link":"https:\/\/qstory.ai\/us\/blog\/2026\/05\/06\/agentic-ai-vs-humans\/","title":{"rendered":"Agentic AI vs Humans \u2013 The Cost to Our Industry"},"content":{"rendered":"\n<p>The contact center industry is undergoing a massive transition as it moves beyond traditional, reactive chatbots to deploy Agentic AI\u2014intelligent virtual agents that can autonomously reason, plan, and execute multi-step workflows. However, as businesses rush to integrate this technology, they are colliding with a new and daunting financial reality:\u00a0<strong>always-on AI is incredibly expensive.<\/strong><\/p>\n\n\n\n<p>Unlike traditional software that relies on flat-rate subscriptions, the economics of AI are fundamentally different because they require enormous computing power and energy. Most providers have shifted toward pay-as-you-go models where every single AI query incurs a computer power cost.<\/p>\n\n\n\n<p>The financial danger of this shift is stark, especially given how quickly even light usage can result in massive expenses.&nbsp;<a href=\"https:\/\/www.thetimes.com\/business\/technology\/article\/ai-agents-cost-katie-prescott-5tpkng5p7\" target=\"_blank\" rel=\"noreferrer noopener\">Writing for&nbsp;<em>The Times<\/em>, Katie Prescott&nbsp;<\/a>highlighted this exact problem when her office was forced to transition their AI agent to a usage-based billing structure:&nbsp;<em><strong>\u201cSnappy had been living on our corporate $200-a-month Anthropic subscription. Under the new pay-as-you-go model, even with only a couple of days of minimal use and his limited capabilities, Snappy racked up a $150 bill\u201d<\/strong>.<\/em><\/p>\n\n\n\n<p>Because contact center AI agents do not sleep or take breaks, their consumption of data tokens can be colossal, quickly blowing past budget expectations and racking up exorbitant bills.\u00a0<strong>To ensure cost optimization, contact centers must strategically manage exactly when these AI agents are turned on and when they are turned off.<\/strong><\/p>\n\n\n\n<p>At the same time, human agents remain a vital part of the contact center ecosystem. To attract and retain a strong workforce, companies must provide their human employees with enough scheduled hours to earn a comfortable living. Naturally, guaranteeing these hours means there will inevitably be periods of idle time or \u201chidden capacity\u201d during their shifts. Rather than paying high per-query fees for Agentic AI to process interactions while human staff sit idle,\u00a0<strong>contact centers can optimize costs by routing work to humans and turning the AI bots off during these lulls.<\/strong><\/p>\n\n\n\n<p>The core challenge in our industry has consistently been balancing employee experience, customer satisfaction, and business performance. QStory has already fundamentally altered this dynamic by introducing an agile\u00a0<a href=\"https:\/\/qstory.ai\/platform\/workforce-management\/\">scheduling and optimisation solution<\/a>. Our platform achieves the optimal employee experience while simultaneously meeting crucial business requirements for efficient operations and customer service.\u00a0<strong>It does this by proactively managing operations, optimizing scheduling and enabling rapid intervention when necessary.<\/strong><\/p>\n\n\n\n<p>To optimize resources in customer-facing businesses, the next crucial step is implementing dynamic, cost-saving handoffs between humans and AI, replacing legacy systems. This shift must be managed to consistently meet customer service expectations while also ensuring employees are valued and their work\/life expectations are fulfilled. In this way instead of competing business priorities we can have aligned and complementary; AI supported business efficiencies, happy employees and superior customer service.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong><em><a href=\"https:\/\/www.linkedin.com\/in\/fiona-coleman-7b98a012\/\">Fiona Coleman<\/a>, QStory CEO &amp; Co-Founder, explores the rising costs of Agentic AI and the need for a strategic balance between automation and human talent. Please get in touch at&nbsp;<a href=\"mailto:hello@qstory.ai\">hello@qstory.ai<\/a>&nbsp;if you have any questions.<\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fiona Coleman, QStory Co-Founder &#038; CEO, explores the rising financial costs of Agentic AI and the strategic necessity of balancing autonomous technology with a valued human workforce.<\/p>\n","protected":false},"author":13,"featured_media":17813,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[5],"tags":[45,44,117,13,14,118,113,119,39],"industry":[],"class_list":["post-17811","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","tag-agent-experience","tag-agent-wellbeing","tag-agentic-ai","tag-ai","tag-contact-center","tag-contact-center-planning","tag-contact-center-transformation","tag-employee-experience","tag-workforce-management"],"acf":[],"_links":{"self":[{"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/posts\/17811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/comments?post=17811"}],"version-history":[{"count":2,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/posts\/17811\/revisions"}],"predecessor-version":[{"id":17814,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/posts\/17811\/revisions\/17814"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/media\/17813"}],"wp:attachment":[{"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/media?parent=17811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/categories?post=17811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/tags?post=17811"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/qstory.ai\/us\/wp-json\/wp\/v2\/industry?post=17811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}