{"id":35848,"date":"2026-03-19T09:30:33","date_gmt":"2026-03-19T08:30:33","guid":{"rendered":"https:\/\/stage-fp.webenv.pl\/blog\/?p=35848"},"modified":"2026-03-19T11:15:54","modified_gmt":"2026-03-19T10:15:54","slug":"ai-predictions-2026","status":"publish","type":"post","link":"https:\/\/www.future-processing.com\/blog\/ai-predictions-2026\/","title":{"rendered":"AI predictions 2026: from general AI models to vertical LLMs and autonomous agents"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"35848\" class=\"elementor elementor-35848\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b0de58f e-con-full e-flex e-con e-parent\" data-id=\"1b0de58f\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de38378 elementor-widget elementor-widget-fp_breadcrumbs\" data-id=\"de38378\" data-element_type=\"widget\" data-widget_type=\"fp_breadcrumbs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"o-breadcrumbs  o-margin--first-section\">\n    <div class=\"o-container\">\n        <a\n            href=\"https:\/\/www.future-processing.com\"\n            class=\"o-breadcrumbs__link o-breadcrumbs__link--home\"\n            aria-label=\"Home\"\n            data-elementclick=\"Breadcrumbs link\"\n            data-elementname=\"Breadcrumbs Home\"\n        >\n            Home        <\/a>\n        <a\n            href=\"https:\/\/www.future-processing.com\/blog\"\n            class=\"o-breadcrumbs__link\"\n            aria-label=\"Blog\"\n            data-elementclick=\"Breadcrumbs link\"\n            data-elementname=\"Breadcrumbs Blog\"\n        >\n            Blog        <\/a>\n                                                                <span aria-current=\"page\" class=\"o-breadcrumbs__title\">AI predictions 2026: from general AI models to vertical LLMs and autonomous agents<\/span>\n            <\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c9e2f9c toc-ignore elementor-widget elementor-widget-fp_banner-post\" data-id=\"c9e2f9c\" data-element_type=\"widget\" data-widget_type=\"fp_banner-post.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"s-banner-post o-margin__top--standard  o-margin__bottom--standard  m-gradient-light\" >\n    <div class=\"s-banner-post__background\">\n                    <img fetchpriority=\"high\" decoding=\"async\" width=\"1156\" height=\"603\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/bg_banner_single_post.png\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/bg_banner_single_post.png 1156w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/bg_banner_single_post-300x156.png 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/bg_banner_single_post-1024x534.png 1024w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/bg_banner_single_post-768x401.png 768w\" sizes=\"(max-width: 1156px) 100vw, 1156px\" \/>            <\/div>\n    <div class=\"o-container\">\n        <div class=\"row\">\n            <div\n                class=\"s-banner-post__categories col-small-24 col-tablet-22 col-medium-14 col-big-15 col-laptop-14 col-fullhd-13 col-qhd-15\"\n            >\n                                    <a\n                        href=\"https:\/\/www.future-processing.com\/blog\/?category=ai-ml\"\n                        class=\"s-banner-post__categories-button o-button o-button--secondary o-button--rounded o-button--s\"\n                    >\n                        AI\/ML                    <\/a>\n                            <\/div>\n            <div\n                class=\"s-banner-post__content col-small-24 col-tablet-22 col-medium-14 col-big-15 col-laptop-14 col-fullhd-13 col-qhd-15\"\n            >\n                <h1 class=\"f-headline-semi-huge f-line\">\n                    AI predictions 2026: from general AI models to vertical LLMs and autonomous agents                <\/h1>\n                <div class=\"s-banner-post__description f-headline-extra-big\">\n                    2026 may mark the point where AI stops being a conversational novelty and becomes an operational backbone. The shift from general-purpose AI models to specialised vertical LLMs and fully fledged AI agents is redefining cost structures, competitive advantage, and even organisational design.                <\/div>\n                <div class=\"s-banner-post__details\">\n                    <div class=\"s-banner-post__date f-paragraph\">\n                        <svg class='o-icon o-icon--16 o-icon--calendar '>\n            <use xlink:href='#icon-16_calendar'><\/use>\n          <\/svg>                        <b>Last update date: <\/b>\n                        19 March 2026                    <\/div>\n                                        \n<div class=\"o-social-media  f-paragraph\">\n    <b>Share on: <\/b>\n            <a href=\"http:\/\/www.facebook.com\/sharer.php?u=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on Facebook\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"Facebook\">\n            <svg class='o-icon o-icon--16 o-icon--facebook '>\n            <use xlink:href='#icon-16_facebook'><\/use>\n          <\/svg>        <\/a>\n            <a href=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on Twitter\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"Twitter\">\n            <svg class='o-icon o-icon--16 o-icon--x '>\n            <use xlink:href='#icon-16_x'><\/use>\n          <\/svg>        <\/a>\n            <a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on LinkedIn\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"LinkedIn\">\n            <svg class='o-icon o-icon--16 o-icon--linkedin2 '>\n            <use xlink:href='#icon-16_linkedin-2'><\/use>\n          <\/svg>        <\/a>\n    <\/div>\n                <\/div>\n            <\/div>\n            <div\n                class=\"s-banner-post__authors-wrapper col-small-24 col-tablet-22 off-medium-1 col-medium-8 off-big-2 col-big-7 off-laptop-4 col-laptop-6 off-fullhd-5 off-qhd-2 col-qhd-7\"\n            >\n                <div class=\"o-pill o-pill--brand o-pill--circle\"><\/div>\n                <h2 class=\"s-banner-post__authors-header f-headline-semi-large f-line\">\n                    <strong>Written by:<\/strong>\n                <\/h2>\n                <div class=\"s-banner-post__authors\">\n                                                                    <div class=\"s-banner-post__author\">\n                            \n<div class=\"o-person-linkedin o-pill o-pill--image  o-person-linkedin--no-shadow o-person-linkedin--has-link\">\n            <img decoding=\"async\" width=\"240\" height=\"480\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480.jpg 240w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480-150x300.jpg 150w\" sizes=\"(max-width: 240px) 100vw, 240px\" \/>                <a class=\"o-person-linkedin__linkedin\" href=\"https:\/\/www.linkedin.com\/in\/maja-kawiecka\/\" target=\"_blank\" aria-label=\"LinkedIn\" data-elementclick=\"person-linkedin-url\" rel=\"noopener\">\n            <svg class='o-icon o-icon--16 o-icon--linkedin '>\n            <use xlink:href='#icon-16_linkedin'><\/use>\n          <\/svg>        <\/a>\n    <\/div>\n                            <p class=\"f-paragraph s-banner-post__author-name\">\n                                Maja Kawiecka                            <\/p>\n                                                            <p class=\"f-paragraph s-banner-post__author-position\">\n                                    AI Enablement &amp; Compliance Lead                                <\/p>\n                                                                                        <a href=\"https:\/\/www.future-processing.com\/blog\/author\/mkawiecka\/\" class=\"o-button o-button--tertiary o-button--arrow o-button--icon-right o-button--m\">\n                                    More from this author                                    <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                                    <svg class='o-icon o-icon--24 o-icon--arrow '>\n            <use xlink:href='#icon-24_arrow'><\/use>\n          <\/svg>                                <\/a>\n                                                    <\/div>\n                                    <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-24599273 e-flex e-con-boxed e-con e-child\" data-id=\"24599273\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-25787159 e-con-full e-flex e-con e-child\" data-id=\"25787159\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f0bcc84 elementor-widget elementor-widget-table-of-contents\" data-id=\"4f0bcc84\" data-element_type=\"widget\" data-settings=\"{&quot;headings_by_tags&quot;:[&quot;h2&quot;],&quot;exclude_headings_by_selector&quot;:&quot;.toc-ignore&quot;,&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;marker_view&quot;:&quot;numbers&quot;,&quot;hierarchical_view&quot;:&quot;yes&quot;,&quot;min_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_widescreen&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_laptop&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet_extra&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile_extra&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"table-of-contents.default\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__header\">\n\t\t\t\t\t\t<h2 class=\"elementor-toc__header-title\">\n\t\t\t\tTable of contents\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div id=\"elementor-toc__4f0bcc84\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<svg class=\"elementor-toc__spinner eicon-animation-spin e-font-icon-svg e-eicon-loading\" aria-hidden=\"true\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M500 975V858C696 858 858 696 858 500S696 142 500 142 142 304 142 500H25C25 237 238 25 500 25S975 237 975 500 763 975 500 975Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-150f74cd elementor-widget elementor-widget-fp_social-media\" data-id=\"150f74cd\" data-element_type=\"widget\" data-widget_type=\"fp_social-media.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"o-social-media o-social-media--border f-paragraph\">\n    <b>Share on: <\/b>\n            <a href=\"http:\/\/www.facebook.com\/sharer.php?u=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on Facebook\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"Facebook\">\n            <svg class='o-icon o-icon--16 o-icon--facebook '>\n            <use xlink:href='#icon-16_facebook'><\/use>\n          <\/svg>        <\/a>\n            <a href=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on Twitter\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"Twitter\">\n            <svg class='o-icon o-icon--16 o-icon--x '>\n            <use xlink:href='#icon-16_x'><\/use>\n          <\/svg>        <\/a>\n            <a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https%3A%2F%2Fwww.future-processing.com%2Fblog%2Fai-predictions-2026%2F\" aria-label=\"Share on LinkedIn\" target=\"_blank\" rel=\"noopener noreferrer\" data-elementclick=\"social-media-link\" data-elementname=\"LinkedIn\">\n            <svg class='o-icon o-icon--16 o-icon--linkedin2 '>\n            <use xlink:href='#icon-16_linkedin-2'><\/use>\n          <\/svg>        <\/a>\n    <\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-287171f0 e-con-full js-post-content s-post-content e-flex e-con e-child\" data-id=\"287171f0\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2077b68 elementor-widget elementor-widget-fp_text_box\" data-id=\"2077b68\" data-element_type=\"widget\" data-widget_type=\"fp_text_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"o-text-box m-gradient-light o-text-box--shadow\">\n            <div class=\"o-text-box__intro f-paragraph\"><p>From our work with enterprise clients across regulated and technology-intensive sectors, one thing is increasingly clear: <strong>generic GenAI experimentation is over<\/strong>. What matters now is specialisation, verifiability, and agent-based execution.<\/p><p>This article presents <strong>forward-looking predictions<\/strong>. Not every path is fully proven yet, but the signals from research publications, vendor roadmaps, and early enterprise implementations point in a consistent direction.<\/p><\/div>\n                <h2 class=\"f-headline-semi-large f-line o-text-box__header\">\n            <p><strong>Key takeaways<\/strong><\/p>        <\/h2>\n                <div class=\"f-paragraph o-text-box__text\"><ul><li>AI development is moving from general-purpose models towards <strong>vertical LLMs and specialised SLMs<\/strong> trained on <strong>domain-specific data<\/strong>.<\/li><li><strong>Verifiable reasoning frameworks<\/strong>, including reinforcement learning approaches tied to measurable outcomes - RLVR (Reinforcement Learning with Verifiable Rewards), are gaining importance in high-stakes environments.<\/li><li>AI agents are evolving from assistants into <strong>embedded execution layers<\/strong> within enterprise workflows.<\/li><li><strong>Emerging standards<\/strong> such as Google\u2019s Universal Commerce Protocol (UCP) signal the rise of agentic commerce.<\/li><li><strong>On-premise AI and infrastructure sovereignty<\/strong> are becoming strategically important for regulated industries.<\/li><li>Competitive advantage increasingly depends on combining <strong>specialised AI models with organisational redesign and governance<\/strong>.<\/li><\/ul><\/div>\n    <\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5968f70e elementor-widget elementor-widget-heading\" data-id=\"5968f70e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>The end of the \u201cone model fits all\u201d era<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb2d54c elementor-widget elementor-widget-text-editor\" data-id=\"eb2d54c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>In regulated industries such as finance, healthcare and science, relying solely on general AI models is becoming a strategic risk. The market is moving decisively towards:<\/p><ul><li><strong>Vertical LLMs<\/strong>, trained on proprietary, domain-specific datasets<\/li><li><strong>Small Language Models (SLMs)<\/strong>, optimised for narrow tasks and lower infrastructure costs<\/li><li>Advanced reasoning frameworks such as <strong>RLVR (Reinforcement Learning with Verifiable Rewards)<\/strong><\/li><\/ul><p>The broader shift towards domain-specific AI systems is reflected in industry analyses such as the Stanford AI Index Report, which highlights rapid enterprise adoption and increasing focus on practical, domain-level impact rather than model size alone.<\/p><p>In healthcare and biology, the evolution of AI from pattern recognition to structured reasoning is visible in systems like <a href=\"https:\/\/deepmind.google.com\/blog\/alphagenome-ai-for-better-understanding-the-genome\/\" rel=\"noopener\">DeepMind\u2019s AlphaGenome<\/a>, designed to improve understanding of genomic sequences and mutation effects.<\/p><p>Independent coverage in <a href=\"https:\/\/www.nature.com\/articles\/d41586-026-00302-8\" rel=\"noopener\">Nature<\/a> further illustrates how such models may support research into rare diseases and biological mechanisms.<\/p><p>While it is too early to claim systemic clinical replacement, these developments demonstrate a clear trajectory: <strong>AI models are being engineered for domain reliability<\/strong>.<\/p><p>At the same time, <strong>SLMs<\/strong> allow organisations to extract smaller, industry-focused models that <strong>deliver high performance<\/strong> at a fraction of the infrastructure cost.<\/p><p>The conclusion is not that general models disappear. Rather, <strong>competitive differentiation<\/strong> increasingly comes from depth of domain integration, auditability, and alignment with regulatory constraints.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfcf069 elementor-widget elementor-widget-fp_cta\" data-id=\"cfcf069\" data-element_type=\"widget\" data-widget_type=\"fp_cta.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"o-cta\">\n    <div class=\"o-cta__pill-container\">\n                    <img decoding=\"async\" width=\"120\" height=\"260\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/01\/pill-AI.jpg\" class=\"attachment-full size-full\" alt=\"\" \/>            <\/div>\n    <div class=\"o-cta__text-container\">\n                                    <div class=\"f-paragraph\"><p><strong>Get recommendations on how AI can be applied within your organisation.<\/strong><\/p><p>Explore data-based opportunities to gain a competitive advantage.<\/p><\/div>\n                                    <div class=\"o-cta__buttons-container\">\n                                    <a class=\"o-button o-button--primary o-button--xs o-button--arrow o-button--icon-right\" href=\"https:\/\/www.future-processing.com\/adopt-ai\/?utm_source=blogbanner\" target=\"_self\">\n                        <span>Adopt AI with us<\/span>\n                        <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                        <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                    <\/a>\n                                                    <a class=\"o-button o-button--secondary o-button--xs o-button--arrow o-button--icon-right\"\n                       href=\"#contact-form\" target=\"_self\">\n                        <span>Let&#039;s work together<\/span>\n                        <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                        <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                    <\/a>\n                            <\/div>\n            <\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72871ba elementor-widget elementor-widget-heading\" data-id=\"72871ba\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>From AI models to AI agents<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29ea762 elementor-widget elementor-widget-text-editor\" data-id=\"29ea762\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Models are the brain, and in 2026, they have gained hands.<\/p><p>In 2026, <strong>AI systems are no longer confined to generating outputs<\/strong>, but they are increasingly embedded into operational layers across enterprise systems. They interact with APIs, orchestrate workflows, and trigger actions.<\/p><p>We can distinguish several emerging layers of agent maturity.<\/p><ol><li><strong> Workflow agents<\/strong> \u2013 automating well-defined back-office processes.<\/li><li><strong> Orchestrated multi-agent systems<\/strong> \u2013 coordinating task-specific agents across complex value chains.<\/li><li><strong> Interface-controlling superagents<\/strong> \u2013 acting as unified entry points to multiple services and tools, significantly simplifying user experience while reducing licensing costs associated with fragmented software ecosystems.<\/li><li><strong> Physical-world agents<\/strong> \u2013 combining AI models with robotics platforms.<\/li><\/ol><p>In robotics, <a href=\"https:\/\/www.theverge.com\/news\/631743\/nvidia-issac-groot-n1-robotics-foundation-model-available\" rel=\"noopener\">Nvidia\u2019s announcements<\/a> around foundation models for generalist robotics illustrate how <strong>large-scale AI is increasingly integrated into physical systems<\/strong>.<\/p><p>AI systems embedded in robotics carry an additional implication: one of the key hypotheses in the development of <strong>Artificial General Intelligence (AGI)<\/strong> is the need to ground intelligence in real-world interaction. By enabling AI-powered robots to operate in physical environments, these <strong>systems can learn<\/strong> not only from abstract representations but also <strong>through direct engagement with reality<\/strong>.<\/p><p>These <strong>developments do not yet imply full autonomy<\/strong> across industries. They do however signal a structural shift: organisations are beginning to redesign processes around autonomous or semi-autonomous execution layers.<\/p><p>Industry discussions around AI agents and enterprise transformation are also reflected in analyses by major consultancies such as McKinsey and Gartner, which increasingly frame <strong>AI as an operating model transformation<\/strong> rather than a productivity add-on.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9c4c63 elementor-widget elementor-widget-image\" data-id=\"f9c4c63\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"897\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/03\/5-stages-from-assistance-to-autonomy-913x1024.jpg\" class=\"attachment-large size-large wp-image-35768\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/03\/5-stages-from-assistance-to-autonomy-913x1024.jpg 913w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/03\/5-stages-from-assistance-to-autonomy-267x300.jpg 267w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/03\/5-stages-from-assistance-to-autonomy-768x862.jpg 768w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/03\/5-stages-from-assistance-to-autonomy.jpg 960w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0881bcd elementor-widget elementor-widget-heading\" data-id=\"0881bcd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Agentic commerce and the end of the shopping basket<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-371ec77 elementor-widget elementor-widget-text-editor\" data-id=\"371ec77\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Google\u2019s introduction of the <a href=\"https:\/\/developers.googleblog.com\/under-the-hood-universal-commerce-protocol-ucp\/\" rel=\"noopener\">Universal Commerce Protocol (UCP)<\/a> signals a move towards standardised, machine-readable commerce interactions.<\/p><p>Additionally, <a href=\"https:\/\/www.infoq.com\/news\/2026\/01\/google-ucp\/\" rel=\"noopener\">industry coverage describes UCP as enabling AI agents to search<\/a>, negotiate, and complete transactions on behalf of users.<\/p><p>If such standards mature and gain adoption, <strong>competition in e-commerce may gradually shift from interface design to technical accessibility<\/strong> for purchasing agents.<\/p><p>But this is still an evolving space. Regulatory and privacy concerns are already part of the public debate, as reflected in <a href=\"https:\/\/www.theverge.com\/news\/873476\/senator-elizabeth-warren-google-gemini-ai-shopping-privacy\" rel=\"noopener\">discussions around AI-driven checkout systems<\/a>.<\/p><p>The long-term outcome is uncertain. However, the directional signal is clear: <strong>enterprises should prepare for machine-to-machine transaction environments<\/strong> where APIs, structured data and compliance design become strategic differentiators.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62659db elementor-widget elementor-widget-heading\" data-id=\"62659db\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>On-premise AI and infrastructure sovereignty<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f66e92 elementor-widget elementor-widget-text-editor\" data-id=\"8f66e92\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>As geopolitical tensions and regulatory scrutiny intensify, <strong>infrastructure decisions are becoming strategic<\/strong>.<\/p><p>Local, <strong>on-premise AI deployments<\/strong> allow employees to manage files, knowledge bases and workflows <strong>without constant cloud dependency<\/strong>. The benefits are tangible:<\/p><ul><li><strong>reduced latency<\/strong> in critical operations,<\/li><li><strong>greater control<\/strong> over intellectual property,<\/li><li><strong>compliance<\/strong> with strict confidentiality requirements.<\/li><\/ul><p>For many regulated enterprises, local deployment is not a technical preference but a <strong>risk management decision<\/strong>.<\/p><p>The global AI landscape increasingly intertwines compute capacity, energy access and hardware sovereignty. Public discussions around large-scale AI infrastructure initiatives in the US and China highlight how <strong>compute ecosystems are becoming national strategic assets<\/strong>.<\/p><p><strong>Geopatriation<\/strong> is not a transient trend, but a structural shift in how AI systems and IT infrastructure are designed. Gartner predicts that <strong>by 2030, more than 75% of enterprises in Europe and the Middle East will repatriate their virtual workloads<\/strong> into environments specifically designed to mitigate geopolitical risk, compared to less than 5% in 2025.<\/p><p>For enterprise leaders, vendor selection is therefore no longer only about model performance. It also involves long-term exposure to regulatory, trade and hardware dependencies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d9230b elementor-widget elementor-widget-text-editor\" data-id=\"6d9230b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Read more about AI on our blog:<\/p><ul><li><a href=\"https:\/\/www.future-processing.com\/blog\/ai-infrastructure\/\">AI infrastructure: a comprehensive guide to building your AI stack<\/a><\/li><li><a href=\"https:\/\/www.future-processing.com\/blog\/ai-implementation-in-business\/\">AI implementation in business: how to do it successfully?<\/a><\/li><li><a href=\"https:\/\/www.future-processing.com\/blog\/ai-pricing-is-ai-expensive\/\">AI pricing: how much does Artificial Intelligence cost?<\/a><\/li><li><a href=\"https:\/\/www.future-processing.com\/blog\/how-to-build-a-successful-ai-strategy\/\">How could you build a successful AI strategy in 5 steps?<\/a><\/li><\/ul><p><!-- \/wp:list-item --><!-- wp:list-item --><\/p><p><!-- \/wp:list-item --><\/p><p><!-- \/wp:list --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d18c637 elementor-widget elementor-widget-heading\" data-id=\"d18c637\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>The socio-economic impact: AI staffing and new roles<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0adb1f elementor-widget elementor-widget-text-editor\" data-id=\"c0adb1f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Another structural shift concerns workforce design.<\/p><p>Large <strong>enterprises are increasingly auditing processes<\/strong> to determine which functions can be automated, augmented, or fully \u201cagentised\u201d. Instead of simply reducing headcount, we observe the <strong>emergence of hybrid staffing models<\/strong> where autonomous systems operate under human supervision and governance.<\/p><p>According to LinkedIn trends, roles such as <strong>AI Consultant and AI Strategist are among the fastest growing<\/strong>. The key differentiator is no longer pure technical expertise, but the ability to combine domain knowledge with agent design and governance.<\/p><p>This transition is ongoing and uneven across industries. However, the direction is consistent: <strong>AI is moving from tool to organisational layer<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ceac0ca elementor-widget elementor-widget-heading\" data-id=\"ceac0ca\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Strategic recommendations for 2026<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bfbe5d8 elementor-widget elementor-widget-text-editor\" data-id=\"bfbe5d8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Based on current signals and early enterprise implementations, <strong>several structural priorities emerge<\/strong>:<\/p><ol><li>Treat AI ecosystems as <strong>integrated operational layers<\/strong>, not isolated assistants.<\/li><li>Prioritise <strong>stability and auditability<\/strong> in high-stakes processes.<\/li><li>Invest in <strong>domain specialisation<\/strong> to create defensible differentiation.<\/li><li>Conduct <strong>recurring process audits<\/strong> to identify agentisation potential.<\/li><li>Define a <strong>clear infrastructure strategy<\/strong>, including on-premise and hybrid deployment options for strategic data.<\/li><\/ol><p>Not all predictions outlined here will materialise at the same pace. Some may evolve differently due to regulation, market consolidation or technical bottlenecks. However, the<strong> strategic direction is increasingly visible<\/strong>: AI systems are becoming embedded, specialised and infrastructure-dependent.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f6d286 elementor-widget elementor-widget-heading\" data-id=\"1f6d286\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><b>What this means for business leaders<\/b><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ff3b12 elementor-widget elementor-widget-text-editor\" data-id=\"4ff3b12\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The coming phase of AI adoption is <strong>less about experimentation and more about architecture<\/strong>.<\/p><p>The organisations that succeed will not necessarily be those that experiment the most. They will be those that <strong>align specialised AI systems, agent-based execution and governance frameworks with clearly defined business outcomes<\/strong>.<\/p><p>AI can deliver unprecedented scale and speed. Competitive advantage, however, will continue to depend on strategic clarity, disciplined implementation, and organisational redesign.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-241ef73 elementor-widget elementor-widget-fp_cta\" data-id=\"241ef73\" data-element_type=\"widget\" data-widget_type=\"fp_cta.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"o-cta\">\n    <div class=\"o-cta__pill-container\">\n                    <img decoding=\"async\" width=\"120\" height=\"260\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/01\/pill-AI.jpg\" class=\"attachment-full size-full\" alt=\"\" \/>            <\/div>\n    <div class=\"o-cta__text-container\">\n                    <div class=\"o-cta__logotype\">\n                <img loading=\"lazy\" decoding=\"async\" width=\"319\" height=\"112\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/02\/verify_logo.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/02\/verify_logo.jpg 319w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2026\/02\/verify_logo-300x105.jpg 300w\" sizes=\"(max-width: 319px) 100vw, 319px\" \/>            <\/div>\n                                    <div class=\"f-paragraph\"><p>Developing an <strong>AI platform that saves law firms up to 75%<\/strong> of document review time<\/p><\/div>\n                                    <div class=\"o-cta__buttons-container\">\n                                    <a class=\"o-button o-button--primary o-button--xs o-button--arrow o-button--icon-right\" href=\"https:\/\/www.future-processing.com\/case-studies\/verifi-group-holdings\/?utm_source=blogbanner\" target=\"_self\">\n                        <span>Read our case study<\/span>\n                        <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                        <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                    <\/a>\n                                                    <a class=\"o-button o-button--secondary o-button--xs o-button--arrow o-button--icon-right\"\n                       href=\"#contact-form\" target=\"_self\">\n                        <span>Let&#039;s work together<\/span>\n                        <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                        <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                    <\/a>\n                            <\/div>\n            <\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-213c2aec e-con-full elementor-hidden-tablet_extra elementor-hidden-tablet elementor-hidden-mobile_extra elementor-hidden-mobile e-flex e-con e-child\" data-id=\"213c2aec\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a88410 toc-ignore elementor-widget elementor-widget-fp_sidebar\" data-id=\"3a88410\" data-element_type=\"widget\" data-widget_type=\"fp_sidebar.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t        <div class=\"o-sidebar\">\n                            \n    <div class=\"o-sidebar__related-articles\">\n                    <h3 class=\"o-sidebar__title f-headline-semi-large\">Related articles<\/h3>\n                            <div class=\"o-sidebar__items\">\n                                    <div class=\"o-sidebar__item\">\n                                                    <div class=\"o-sidebar__item-photo\">\n                                <img loading=\"lazy\" decoding=\"async\" width=\"1290\" height=\"400\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/cover_data-ai.jpg\" class=\"attachment-full size-full\" alt=\"cover_data-ai\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/cover_data-ai.jpg 1290w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/cover_data-ai-300x93.jpg 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/cover_data-ai-1024x318.jpg 1024w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/cover_data-ai-768x238.jpg 768w\" sizes=\"(max-width: 1290px) 100vw, 1290px\" \/>                            <\/div>\n                                                <div class=\"o-sidebar__item-text\">\n                                                            <div class=\"f-paragraph\">AI implementation without IT modernisation? A high-risk path to underperformance<\/div>\n                            \n                                                            <a href=\"https:\/\/www.future-processing.com\/blog\/ai-implementation-without-modernisation-a-high-risk-path\/\" class=\"o-button o-button--tertiary o-button--xs o-button--icon-right o-button--arrow\" data-elementname=\"sidebar\" data-elementtype=\"Read more\">\n                                    Read more                                    <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                                    <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                                    <div class=\"o-sidebar__item\">\n                                                 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trust and advantage in the age of artificial intelligence<\/div>\n                            \n                                                            <a href=\"https:\/\/www.future-processing.com\/blog\/ai-governance-advantage-in-the-age-of-ai\/\" class=\"o-button o-button--tertiary o-button--xs o-button--icon-right o-button--arrow\" data-elementname=\"sidebar\" data-elementtype=\"Read more\">\n                                    Read more                                    <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                                    <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                                    <div class=\"o-sidebar__item\">\n                                            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https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/AI-Implementation-without-IT-modernisation-A-high-risk-path-to-underperformance-768x238.jpg 768w\" sizes=\"(max-width: 1290px) 100vw, 1290px\" \/>                            <\/div>\n                                                <div class=\"o-sidebar__item-text\">\n                                                            <div class=\"f-paragraph\">How to build an AI PoC (Proof of Concept) and why is it worth it?<\/div>\n                            \n                                                            <a href=\"https:\/\/www.future-processing.com\/blog\/how-to-build-ai-poc\/\" class=\"o-button o-button--tertiary o-button--xs o-button--icon-right o-button--arrow\" data-elementname=\"sidebar\" data-elementtype=\"Read more\">\n                                    Read more                                    <svg class='o-icon o-icon--10 o-icon--arrow '>\n            <use xlink:href='#icon-10_arrow'><\/use>\n          <\/svg>                                    <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                                <\/a>\n                                                    <\/div>\n                    <\/div>\n                            <\/div>\n            <\/div>\n            \n                            <div class=\"o-sidebar__value\">\n                                            <h3 class=\"o-sidebar__title f-headline-semi-large\">Value we delivered<\/h3>\n                                                                                            <div class=\"o-sidebar__value-item\">\n                                                                    <div class=\"o-sidebar__number\">\n                                        <span class=\"o-sidebar__number-content\">\n                                                                                        <div class=\"f-grid-number\">66<\/div>\n                                                                                    <\/span>\n                                                                                    <span aria-label=\"%\" class=\"o-percentage\">\n                                                <span class=\"o-percentage__slash\"><\/span>\n                                            <\/span>\n                                                                            <\/div>\n                                                                                                    <div class=\"o-sidebar__text f-paragraph\"><p>reduction in processing time through our AI-powered AWS solution<\/p><\/div>\n                                                                                                    <div class=\"o-sidebar__link\">\n                                        <a href=\"https:\/\/www.future-processing.com\/case-studies\/careerspring\/\" class=\"o-button 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elementor-widget-fp_post_authors\" data-id=\"30597a23\" data-element_type=\"widget\" data-widget_type=\"fp_post_authors.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div\n    class=\"s-post-authors  o-margin__bottom--standard o-margin__top--standard  m-gradient-light s-post-authors--single\"\n    >\n            <img loading=\"lazy\" decoding=\"async\" width=\"1278\" height=\"871\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/authors_bg.png\" class=\"s-post-authors__background-image\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/authors_bg.png 1278w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/authors_bg-300x204.png 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/authors_bg-1024x698.png 1024w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/authors_bg-768x523.png 768w\" sizes=\"(max-width: 1278px) 100vw, 1278px\" \/>        <div class=\"o-container\">\n                                    <div class=\"row\">\n                        <h2 class=\"f-headline-semi-large f-line s-post-authors__header col-small-24 col-big-15 off-big-9 col-laptop-12 off-laptop-6 col-fullhd-11 off-fullhd-7\">\n                <p><strong>About the author:<\/strong><\/p>            <\/h2>\n                            <\/div>\n                            <div class=\"s-post-authors__list row\">\n                                            <div class=\"s-post-authors__author col-small-24 col-medium-15 off-big-9 col-laptop-12 off-laptop-6 col-fullhd-11 off-fullhd-7\">\n                    <div class=\"o-pill o-pill--circle o-pill--brand\"><\/div>\n                    \n<div class=\"o-person-linkedin o-pill o-pill--image  o-person-linkedin--no-shadow o-person-linkedin--has-link\">\n            <img decoding=\"async\" width=\"240\" height=\"480\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480.jpg\" class=\"attachment-full size-full\" alt=\"\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480.jpg 240w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2025\/10\/mkawiecka_blog_240_480-150x300.jpg 150w\" sizes=\"(max-width: 240px) 100vw, 240px\" \/>                <a class=\"o-person-linkedin__linkedin\" href=\"https:\/\/www.linkedin.com\/in\/maja-kawiecka\/\" target=\"_blank\" aria-label=\"LinkedIn\" data-elementclick=\"person-linkedin-url\" rel=\"noopener\">\n            <svg class='o-icon o-icon--16 o-icon--linkedin '>\n            <use xlink:href='#icon-16_linkedin'><\/use>\n          <\/svg>        <\/a>\n    <\/div>\n                    <div class=\"s-post-authors__background\">\n                        <div class=\"s-post-authors__text\">\n                            <h3 class=\"f-line\">\n                                <span class=\"f-headline-semi-large\"><b>Maja Kawiecka<\/b><\/span>\n                                                                    <p class=\"s-post-authors__position f-paragraph\">\n                                        AI Enablement &amp; Compliance Lead                                    <\/p>\n                                                            <\/h3>\n                                                            <div class=\"s-post-authors__description f-paragraph\">\n                                    <p>IT professional operating in between business and technical stakeholders, translating client needs into technical solutions. Expert in business and system analysis including requirements gathering, analysis and specification, process modeling (BPMN), UML and data modeling, use case and user story creation, business process improvement, all supported with vast experience in multiple industries and professional certificates. Certified Product Owner, Scrum Master and SAFe Agilist. Team Leader responsible for employee careers, work plans, development and recruiting. 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The shift from general-purpose AI models to specialised vertical LLMs and fully fledged AI agents is redefining cost structures, competitive advantage, and even organisational design.<\/p>\n","protected":false},"author":252,"featured_media":35849,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2182],"tags":[],"coauthors":[2148],"class_list":["post-35848","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml"],"acf":{"reading-time":0,"show-toc-sublists":false,"image":"","logo":"","button1":{"button1_type":"none","button":""},"button2":{"button2_type":"none","button":""},"person":{"person_photo":"","person_name":"","person_position":""}},"_links":{"self":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/35848","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/users\/252"}],"replies":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/comments?post=35848"}],"version-history":[{"count":14,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/35848\/revisions"}],"predecessor-version":[{"id":35867,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/35848\/revisions\/35867"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/media\/35849"}],"wp:attachment":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/media?parent=35848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/categories?post=35848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/tags?post=35848"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/coauthors?post=35848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}