{"id":4992,"date":"2026-07-16T12:07:35","date_gmt":"2026-07-16T03:07:35","guid":{"rendered":"https:\/\/smilesoftware.org\/?p=4992"},"modified":"2026-07-16T12:07:37","modified_gmt":"2026-07-16T03:07:37","slug":"%e3%80%902026%e5%b9%b4%e4%b8%8a%e5%8d%8a%e6%9c%9f%e3%80%91%e7%94%9f%e6%88%90ai%e3%81%ae%e6%9c%80%e6%96%b0%e3%83%88%e3%83%ac%e3%83%b3%e3%83%894%e9%81%b8%e3%81%a8%e4%bb%8a%e5%be%8c%e3%81%ae%e5%b1%95","status":"publish","type":"post","link":"https:\/\/smilesoftware.org\/en\/2026%E5%B9%B4%E4%B8%8A%E5%8D%8A%E6%9C%9F%E7%94%9F%E6%88%90ai%E3%81%AE%E6%9C%80%E6%96%B0%E3%83%88%E3%83%AC%E3%83%B3%E3%83%894%E9%81%B8%E3%81%A8%E4%BB%8A%E5%BE%8C%E3%81%AE%E5%B1%95\/","title":{"rendered":"Top 4 Generative AI Trends for the First Half of 2026 and a Detailed Look at What Comes Next"},"content":{"rendered":"<div class=\"wp-block-group smile-post-content\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><header class=\"smile-article-header\"><div><span class=\"smile-category-pill\">Blog<\/span><span class=\"smile-date\">2026-07-12<\/span><\/div><h1 class=\"smile-article-title\">Top 4 Generative AI Trends for the First Half of 2026 and a Detailed Look at What Comes Next<\/h1><p class=\"smile-excerpt\"><\/p><\/header>\n\n<nav class=\"smile-toc\" aria-label=\"Table of Contents\"><h2 class=\"smile-toc__title\">Table of Contents<\/h2><div class=\"smile-toc__grid\"><a class=\"smile-toc__item\" href=\"#section-1\"><b class=\"smile-toc__number\">01<\/b><span class=\"smile-toc__label\">The changing landscape surrounding generative AI<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-2\"><b class=\"smile-toc__number\">02<\/b><span class=\"smile-toc__label\">Four Generative AI Trends to Watch in the First Half of 2026<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-3\"><b class=\"smile-toc__number\">03<\/b><span class=\"smile-toc__label\">Trend 1: AI Agent Adoption Moves into Full Swing<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-4\"><b class=\"smile-toc__number\">04<\/b><span class=\"smile-toc__label\">Trend 2: Multimodal AI Moves from Concept to Reality<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-5\"><b class=\"smile-toc__number\">05<\/b><span class=\"smile-toc__label\">Trend 3: Expanding Use of Small-Scale Models<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-6\"><b class=\"smile-toc__number\">06<\/b><span class=\"smile-toc__label\">Trend 4: The Growing Importance of Governance and Internal Connectivity<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-7\"><b class=\"smile-toc__number\">07<\/b><span class=\"smile-toc__label\">Where Should Companies Start?<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-8\"><b class=\"smile-toc__number\">08<\/b><span class=\"smile-toc__label\">Future Outlook<\/span><\/a><a class=\"smile-toc__item\" href=\"#section-9\"><b class=\"smile-toc__number\">09<\/b><span class=\"smile-toc__label\">Summary<\/span><\/a><\/div><\/nav>\n\n\n<div id=\"section-1\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">01<\/div><h2 class=\"smile-section__title\">The changing landscape surrounding generative AI<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01.png\" alt=\"\u751f\u6210AI\u3092\u53d6\u308a\u5dfb\u304f\u72b6\u6cc1\u304c\u5909\u308f\u3063\u3066\u304d\u305f\u80cc\u666f\" class=\"wp-image-4983\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-01-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>Generative AI has moved from the stage of simply trying it out to the stage of considering how to embed it in day-to-day operations. Until around 2024, attention tended to focus on one-off uses such as drafting and summarization, but from 2025 to 2026, the key issue is how to apply it across entire business workflows.<\/p>\n\n\n\n<p>In corporate settings in particular, simply using a high-performance model is not enough. Adoption decisions depend directly on factors such as whether it can integrate with existing systems, handle internal data securely, and be operated sustainably over time.<\/p>\n\n\n\n<p>For that reason, when looking at generative AI trends in the first half of 2026, it is important to assess them based on how easily they can be applied in practice rather than on how much attention they are receiving.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-2\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">02<\/div><h2 class=\"smile-section__title\">Four Generative AI Trends to Watch in the First Half of 2026<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02.png\" alt=\"2026\u5e74\u4e0a\u534a\u671f\u306b\u6ce8\u76ee\u3057\u305f\u3044\u751f\u6210AI\u30c8\u30ec\u30f3\u30c94\u9078\" class=\"wp-image-4984\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-02-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n<p>Here are four trends to watch in the first half of 2026.<\/p><div class=\"smile-insight-cards smile-insight-cards--four\"><div class=\"smile-insight-card\"><div class=\"smile-insight-card__head\"><span class=\"smile-insight-card__icon\" aria-hidden=\"true\"><svg class=\"smile-ui-icon smile-ui-icon--automation\" viewbox=\"0 0 64 64\" aria-hidden=\"true\" focusable=\"false\" stroke=\"currentColor\"><path d=\"M32 12v8\"\/><path d=\"M32 44v8\"\/><path d=\"M12 32h8\"\/><path d=\"M44 32h8\"\/><circle cx=\"32\" cy=\"32\" r=\"12\"\/><path d=\"m24 24 16 16\"\/><path d=\"m40 24-16 16\"\/><\/svg><\/span><h3 class=\"smile-insight-card__title\">1. The Full-Scale Adoption of AI Agents<\/h3><\/div><\/div><div class=\"smile-insight-card\"><div class=\"smile-insight-card__head\"><span class=\"smile-insight-card__icon\" aria-hidden=\"true\"><svg class=\"smile-ui-icon smile-ui-icon--operations\" viewbox=\"0 0 64 64\" aria-hidden=\"true\" focusable=\"false\" stroke=\"currentColor\"><circle cx=\"32\" cy=\"32\" r=\"9\"\/><path d=\"M32 8v8\"\/><path d=\"M32 48v8\"\/><path d=\"m15 15 6 6\"\/><path d=\"m43 43 6 6\"\/><path d=\"M8 32h8\"\/><path d=\"M48 32h8\"\/><path d=\"m15 49 6-6\"\/><path d=\"m43 21 6-6\"\/><\/svg><\/span><h3 class=\"smile-insight-card__title\">2. Putting multimodal use into practice<\/h3><\/div><\/div><div class=\"smile-insight-card\"><div class=\"smile-insight-card__head\"><span class=\"smile-insight-card__icon\" aria-hidden=\"true\"><svg class=\"smile-ui-icon smile-ui-icon--flexibility\" viewbox=\"0 0 64 64\" aria-hidden=\"true\" focusable=\"false\" stroke=\"currentColor\"><path d=\"M14 32h26\"\/><path d=\"m32 22 10 10-10 10\"\/><path d=\"M50 18v28\"\/><path d=\"M14 18v28\"\/><\/svg><\/span><h3 class=\"smile-insight-card__title\">3. Expanded Use of Small-Scale Models<\/h3><\/div><\/div><div class=\"smile-insight-card\"><div class=\"smile-insight-card__head\"><span class=\"smile-insight-card__icon\" aria-hidden=\"true\"><svg class=\"smile-ui-icon smile-ui-icon--cost\" viewbox=\"0 0 64 64\" aria-hidden=\"true\" focusable=\"false\" stroke=\"currentColor\"><circle cx=\"32\" cy=\"32\" r=\"20\"\/><path d=\"M32 18v28\"\/><path d=\"M40 24c-2-4-14-5-16 1-3 8 17 5 14 14-2 6-14 5-17 0\"\/><\/svg><\/span><h3 class=\"smile-insight-card__title\">4. The Growing Importance of Governance and Internal Connectivity<\/h3><\/div><\/div><\/div>\n\n\n<p>What these examples have in common is that generative AI is no longer being used merely as a standalone chat function. Instead, it is increasingly being assigned specific roles within business operations.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-3\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">03<\/div><h2 class=\"smile-section__title\">Trend 1: AI Agent Adoption Moves into Full Swing<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03.png\" alt=\"\u30c8\u30ec\u30f3\u30c91. AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u6d3b\u7528\u306e\u672c\u683c\u5316\" class=\"wp-image-4985\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-03-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>One major shift in the first half of 2026 is that generative AI is evolving from a tool that simply provides answers into one that helps move work forward.<\/p>\n\n\n\n<p>In July 2025, OpenAI announced ChatGPT agent, pointing toward multi-step workflows that combine browser operations, research, code execution, and document creation. This shows that generative AI is increasingly shifting from one-off question answering to supporting research, organization, and execution.<\/p>\n\n\n\n<p>In practical business settings, companies can consider use cases such as the following.<\/p>\n\n\n\n<ul class=\"wp-block-list smile-bullet-list\">\n<li>Organizing publicly available information about customer companies and creating meeting preparation notes for sales representatives<\/li>\n\n\n\n<li>In internal inquiry handling, finding relevant documents and preparing draft responses<\/li>\n\n\n\n<li>Support development teams with specification checks, coding assistance, and organizing test perspectives.<\/li>\n<\/ul>\n\n\n\n<p>However, while AI agents are useful, there are still situations where it is too early to fully entrust them with external actions or critical decisions. It is important to define where approval points should be placed and at which stages human review is required.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-4\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">04<\/div><h2 class=\"smile-section__title\">Trend 2: Multimodal AI Moves from Concept to Reality<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04.png\" alt=\"\u30c8\u30ec\u30f3\u30c92. \u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u6d3b\u7528\u306e\u73fe\u5b9f\u5316\" class=\"wp-image-4986\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-04-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>Generative AI is moving beyond text-centric use cases toward handling multiple formats, including images, audio, tables, and screen information. This shift is known as multimodal AI.<\/p>\n\n\n\n<p>What matters in practical business settings is not simply that the technology has become more multifunctional, but that it is now easier to work directly with real-world operational data. Use cases such as summarizing key points from meeting audio, reading forms and screen captures to support customer inquiries, and reviewing materials that include charts and other visuals are becoming increasingly realistic.<\/p>\n\n\n\n<p>As of April 2026, Google Cloud has showcased a wide range of generative AI use cases from organizations around the world, showing that practical applications are expanding across industries. This trend also suggests that generative AI is moving beyond text generation toward handling business data more broadly.<\/p>\n\n\n\n<p>The following types of work are especially well suited to multimodal applications.<\/p>\n\n\n\n<ul class=\"wp-block-list smile-bullet-list\">\n<li>Call Center Voice Summarization<\/li>\n\n\n\n<li>Organizing inspection records at manufacturing sites<\/li>\n\n\n\n<li>Reviewing sales materials and proposals<\/li>\n\n\n\n<li>Internal training that includes manuals, drawings, and screen explanations<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div id=\"section-5\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">05<\/div><h2 class=\"smile-section__title\">Trend 3: Expanding Use of Small-Scale Models<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05.png\" alt=\"\u30c8\u30ec\u30f3\u30c93. \u5c0f\u898f\u6a21\u30e2\u30c7\u30eb\u6d3b\u7528\u306e\u62e1\u5927\" class=\"wp-image-4987\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-05-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>Large-scale models have attracted much of the attention in recent years, but in 2026, the practical use of smaller models is also gaining momentum. In its discussion of small language models, IBM also highlights their efficiency and operational advantages when tailored to specific use cases.<\/p>\n\n\n\n<p>The growing interest in small-scale models is not driven solely by performance competition. For enterprise use, cost, response speed, ease of deployment, and the ability to tailor models to specific use cases are also important factors.<\/p>\n\n\n\n<p>For example, smaller models may be a good fit in the following cases.<\/p>\n\n\n\n<ul class=\"wp-block-list smile-bullet-list\">\n<li>Internal FAQs and routine inquiry handling<\/li>\n\n\n\n<li>Document classification for specific departments<\/li>\n\n\n\n<li>Input validation within a limited business workflow.<\/li>\n\n\n\n<li>AI use designed for on-premises or closed-network environments<\/li>\n<\/ul>\n\n\n\n<p>Of course, large-scale models can be advantageous for use cases that require complex reasoning or broad knowledge. The key is not to try to solve everything with one large model, but to choose the right model for each use case.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-6\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">06<\/div><h2 class=\"smile-section__title\">Trend 4: The Growing Importance of Governance and Internal Connectivity<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06.png\" alt=\"\u30c8\u30ec\u30f3\u30c94. \u30ac\u30d0\u30ca\u30f3\u30b9\u3068\u793e\u5185\u63a5\u7d9a\u306e\u91cd\u8981\u6027\u4e0a\u6607\" class=\"wp-image-4988\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-06-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>As generative AI adoption advances, safe usage becomes just as important as accuracy. In the first half of 2026 in particular, a major focus will be how to connect AI with internal data and business systems.<\/p>\n\n\n\n<p>Anthropic has released the Model Context Protocol (MCP), signaling a move toward standardizing how AI assistants connect with business systems and data sources. This indicates that using AI in real-world operations requires more than building one-off integrations each time; organizations also need to establish a clear approach to connectivity itself.<\/p>\n\n\n\n<p>At the same time, as the number of connected systems increases, the following issues become more important.<\/p>\n\n\n\n<ul class=\"wp-block-list smile-bullet-list\">\n<li>Which data it should be allowed to access<\/li>\n\n\n\n<li>How much of the rationale behind an answer should be shown<\/li>\n\n\n\n<li>Who is responsible when an incorrect answer is provided?<\/li>\n\n\n\n<li>How to manage data sharing when using external services<\/li>\n\n\n\n<li>How to design logs, permissions, and approval workflows<\/li>\n<\/ul>\n\n\n\n<p>In other words, the use of generative AI has moved beyond the stage of adopting it simply because it seems useful. Companies are now entering a phase where they must design its implementation to include rules, integrations, and access permissions.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-7\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">07<\/div><h2 class=\"smile-section__title\">Where Should Companies Start?<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07.png\" alt=\"\u4f01\u696d\u306f\u4f55\u304b\u3089\u59cb\u3081\u308b\u3079\u304d\u304b\" class=\"wp-image-4989\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-07-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>When looking at these trends, many companies may be unsure where to start. In that case, it is easier to move forward by considering the following steps in order.<\/p>\n\n\n\n<h3 class=\"wp-block-heading smile-subheading\">1. Define the target workflow instead of using it on a one-off basis<\/h3>\n\n\n\n<p>Start by selecting tasks where the impact is easy to measure, such as meeting minutes, inquiry handling, sales preparation, and internal search. Focusing on a narrower scope, rather than starting broadly, makes adoption easier to sustain.<\/p>\n\n\n\n<h3 class=\"wp-block-heading smile-subheading\">2. Keep a human review step in the process<\/h3>\n\n\n\n<p>Generative AI is useful, but it will not be error-free. Any materials submitted outside the company, contract-related work, or important decisions should always include a human review process.<\/p>\n\n\n\n<h3 class=\"wp-block-heading smile-subheading\">3. Prioritize Internal Data Connections<\/h3>\n\n\n\n<p>Trying to integrate every system from the outset makes both design and operations overly complex. A more practical approach is to start with areas where the scope of integration can be kept limited, such as FAQs, document search, and manual reference.<\/p>\n\n\n\n<h3 class=\"wp-block-heading smile-subheading\">4. Select Models Based on Use Case<\/h3>\n\n\n\n<p>Consider not only high-performance models, but also smaller models and configurations designed for specific use cases. It is important to balance accuracy, cost, speed, and security.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-8\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">08<\/div><h2 class=\"smile-section__title\">Future Outlook<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08.png\" alt=\"\u4eca\u5f8c\u306e\u5c55\u671b\" class=\"wp-image-4990\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-08-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n\n<p>The future of generative AI will likely be shaped less by advances in standalone features and more by how effectively it is embedded into business workflows. The rise of AI agents, multimodal capabilities, the use of different models for different purposes, and standardized connectivity are all accelerating this shift.<\/p>\n\n\n\n<p>However, not every company should immediately pursue a large-scale rollout. Instead, it is often better to narrow the target business processes, start small, identify operational issues, and expand gradually to reduce the risk of failure.<\/p>\n<\/div><\/div>\n\n\n\n<div id=\"section-9\" class=\"wp-block-group smile-section\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"smile-section__head\"><div class=\"smile-section__number\">09<\/div><h2 class=\"smile-section__title\">Summary<\/h2><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09.png\" alt=\"\u307e\u3068\u3081\" class=\"wp-image-4991\" srcset=\"https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09.png 1672w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09-300x169.png 300w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09-1024x576.png 1024w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09-768x432.png 768w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09-1536x864.png 1536w, https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-section-09-18x10.png 18w\" sizes=\"auto, (max-width: 1672px) 100vw, 1672px\" \/><\/figure>\n\n\n<div class=\"smile-split-note\"><div class=\"smile-note\"><p>Generative AI trends in the first half of 2026 are defined less by competition over new features and more by a shift toward how AI can be used effectively in day-to-day business operations.<\/p><\/div><div class=\"smile-note\"><p>Key trends include the broader adoption of AI agents, the practical deployment of multimodal AI, the growing use of smaller AI models, and the increasing importance of AI governance and seamless integration with internal enterprise systems.<\/p><\/div><div class=\"smile-note\"><p>To turn generative AI into tangible results, companies need to do more than follow the latest technologies; they must identify the use cases that truly fit their own operations.<\/p><\/div><div class=\"smile-note\"><p>SMILE supports phased implementation, from organizing business challenges and evaluating systemization to development and operation.<\/p><\/div><div class=\"smile-note\"><p>Companies considering DX or the use of AI should start with small operational improvements.<\/p><\/div><\/div><\/div><\/div>\n\n\n<section class=\"smile-article-cta\"><div class=\"smile-article-cta__label\">SMILE Support<\/div><h2>Start a Consultation on Advancing GX and DX<\/h2><p>We work with you to design an approach tailored to your company\u2019s situation, from assessing the current state to implementing systems and improving operations.<\/p><ul class=\"smile-list\"><li>You can clarify current operational and data-related challenges.<\/li><li>You can design implementation steps that fit your company's structure.<\/li><li>You can also build a framework that remains easy to operate after implementation.<\/li><li>You can use data to verify results and make improvements.<\/li><li>You can start exploring AI and IoT applications in the areas where they are most needed.<\/li><\/ul><a class=\"smile-article-cta__button\" href=\"\/en\/contact\/\">Contact Us<\/a><\/section><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Generative AI is evolving from the experimental stage to a phase where...&nbsp;<a href=\"https:\/\/smilesoftware.org\/en\/2026%E5%B9%B4%E4%B8%8A%E5%8D%8A%E6%9C%9F%E7%94%9F%E6%88%90ai%E3%81%AE%E6%9C%80%E6%96%B0%E3%83%88%E3%83%AC%E3%83%B3%E3%83%894%E9%81%B8%E3%81%A8%E4%BB%8A%E5%BE%8C%E3%81%AE%E5%B1%95\/\" class=\"\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Top 4 Generative AI Trends for the First Half of 2026 and a Detailed Look at What Comes Next<\/span><\/a><\/p>","protected":false},"author":2,"featured_media":4982,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"_themeisle_gutenberg_block_has_review":false,"_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","footnotes":""},"categories":[32],"tags":[],"class_list":["post-4992","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"rttpg_featured_image_url":{"full":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image.png",1672,941,false],"landscape":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image.png",1672,941,false],"portraits":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image.png",1672,941,false],"thumbnail":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-150x150.png",150,150,true],"medium":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-300x169.png",300,169,true],"large":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-1024x576.png",1024,576,true],"1536x1536":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-1536x864.png",1536,864,true],"2048x2048":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image.png",1672,941,false],"trp-custom-language-flag":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-18x10.png",18,10,true],"neve-blog":["https:\/\/smilesoftware.org\/wp-content\/uploads\/2026\/07\/redmine-1431-138708-featured-image-930x620.png",930,620,true]},"rttpg_author":{"display_name":"\u7b20\u539f \u840c","author_link":"https:\/\/smilesoftware.org\/en\/author\/chinh-man\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/smilesoftware.org\/en\/category\/blog\/\" rel=\"category tag\">\u30d6\u30ed\u30b0<\/a>","rttpg_excerpt":"\u751f\u6210AI\u306f\u3001\u8a66\u3057\u306b\u4f7f\u3063\u3066\u307f\u308b\u6bb5\u968e\u304b\u3089\u3001\u5b9f\u52d9\u306b\u3069\u3046\u7d44\u307f\u8fbc\u3080\u304b\u3092&hellip;&nbsp;Read More &&hellip;","_links":{"self":[{"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/posts\/4992","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/comments?post=4992"}],"version-history":[{"count":2,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/posts\/4992\/revisions"}],"predecessor-version":[{"id":5115,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/posts\/4992\/revisions\/5115"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/media\/4982"}],"wp:attachment":[{"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/media?parent=4992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/categories?post=4992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smilesoftware.org\/en\/wp-json\/wp\/v2\/tags?post=4992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}