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O\u00a0<\/span>Gartner, Inc.<\/b><\/a>., company of\u00a0insights<\/i>\u00a0Business and technology announces its list of\u00a0main strategic technological trends<\/a>\u00a0that organizations need to explore in 2026.<\/p>\n \u201c"Technology leaders face a crucial year in 2026, in which disruption, innovation, and risk are expanding at an unprecedented speed," he states.\u00a0Gene Alvarez<\/a>, Emeritus Vice President Analyst at Gartner. \u201cThe key strategic technology trends identified for the year are directly interconnected and reflect the realities of a hyper-connected world driven by Artificial Intelligence (AI), in which organizations must foster responsible innovation, operational excellence, and digital trust.\u201d<\/p>\n \u201c"These trends represent more than just technological changes; they are catalysts for business transformation," he says.\u00a0Tori Paulman<\/a>, \u201cWhat seems different this year is the pace. We\u2019ve seen more innovation emerge in a single year than ever before. As the next wave of advancement is not years away, organizations that act now will not only weather the volatility but will shape their industries for decades to come,\u201d said Gartner Vice President Analyst.\u201d<\/p>\n The main strategic technological trends for 2026 are:<\/p>\n Supercomputing platform with AI\u00a0<\/b><\/p>\n Supercomputing platforms with Artificial Intelligence integrate Central Processing Units (CPUs), Graphics Processing Units (GPUs), Application-Specific Integrated Circuits (ASICs) with AI, neuromorphic and alternative computing paradigms, allowing organizations to orchestrate complex workloads while achieving new levels of performance, efficiency, and innovation. These systems combine powerful processors, massive memory, specialized hardware, and orchestration software to handle data-intensive workloads, especially in areas such as...\u00a0Machine Learning<\/i>, simulations and analyses.<\/p>\n By 2028, Gartner predicts that more than 401,300 of leading companies will have adopted hybrid computing paradigm architectures in mission-critical workflows, compared to the current 81,300.<\/p>\n \u201cThis capability is already driving innovation across a wide range of sectors,\u201d says Paulman. \u201cFor example, in healthcare and biotechnology, companies are modeling new drugs in weeks instead of years. In financial services, organizations are simulating global markets to reduce portfolio risk, while utility companies are modeling extreme weather conditions to optimize grid performance.\u201d<\/p>\n Multi-agent systems<\/b><\/p>\n Multi-agent systems (MAS) are sets of AI agents that interact to achieve complex individual or shared goals. The agents can be provided in a single environment or developed and deployed independently in distributed environments.<\/p>\n \u201cAdopting multi-agent systems offers organizations a practical way to automate complex business processes, enhance team skills, and create new ways for people and AI agents to work together,\u201d says Alvarez. \u201cModular and specialized agents can increase efficiency, accelerate delivery, and reduce risk by reusing proven solutions across workflows. This approach also facilitates scaling operations and rapidly adapting to ever-changing needs.\u201d<\/p>\n Domain-specific language models<\/b><\/p>\n CIOs (Chief Information Officers) and CEOs (Chief Executive Officers) are demanding more value from AI for business, but generic large language models (LLMs) often fall short in specialized tasks.\u00a0domain-specific language models<\/a>\u00a0(DSLMs) fill this gap with greater accuracy, lower costs, and better compliance. DSLMs are language models trained or tuned based on specialized data for a particular industry, function, or process. Unlike general-purpose models, DSLMs offer greater accuracy, reliability, and compliance for specific business needs.<\/p>\n By 2028, Gartner predicts that more than half of the models of\u00a0Generative Artificial Intelligence<\/a>\u00a0(GenAI) used by companies will be domain-specific.<\/p>\n \u201c"Context is emerging as one of the most critical differentiators for successful implementation of..."\u00a0agents<\/a>\u201dAI agents not tied to DSLMs can interpret industry-specific context to make sound decisions, even in unfamiliar scenarios, excelling in accuracy, explainability, and sound decision-making,\u201c says Paulman.\u201d<\/p>\n Security platforms for AI<\/b><\/p>\n AI security platforms offer a unified way to protect Artificial Intelligence applications, both those developed internally and those from third parties. They centralize visibility, enforce usage policies, and protect against AI-specific risks such as prompt injection, data leaks, and malicious actor actions. These platforms help CIOs enforce usage policies, monitor AI activity, and apply consistent protections across all AI applications.<\/p>\n By 2028, Gartner predicts that more than 501% of companies will be using TP3T platforms.\u00a0security for AI<\/a>\u00a0to protect your investments in Artificial Intelligence.<\/p>\n AI-native development platforms<\/b><\/p>\n Native AI development platforms utilize\u00a0GenAI<\/a>\u00a0To create software faster and easier than previously possible. Software engineers integrated into the business, acting as forward-deployed engineers, can use these platforms to work together with domain experts to develop applications. Organizations can have small teams of people working together with AI to create more applications with the same level of developers they have today. Leading organizations are creating small platform teams to enable non-technical domain experts to produce software on their own, with security and governance barriers in place.<\/p>\n Gartner predicts that by 2030, AI-native development platforms will enable organizations to transform large software engineering teams into smaller, more agile teams enhanced by Artificial Intelligence.<\/p>\n Confidential computing<\/b><\/p>\n Confidential computing changes how organizations handle sensitive data. By isolating workloads within hardware-based trusted execution environments (TEEs), it keeps content and workloads private, even from infrastructure owners, cloud providers, or anyone with physical access to the hardware. This is especially valuable for regulated industries and global operations facing geopolitical and compliance risks, as well as for collaboration between competitors.<\/p>\n By 2029, Gartner predicts that more than 75% of operations processed on untrusted infrastructure will be protected through confidential computing.<\/p>\n Physical AI<\/b><\/p>\n Physical AI brings intelligence to the real world, powering machines and devices that detect, decide, and act, such as robots, drones, and smart equipment. It delivers measurable gains in sectors where automation, adaptability, and safety are priorities.<\/p>\n As adoption grows, organizations need new skills that bridge IT, operations, and engineering. This shift creates opportunities for professional development and collaboration, but it can also raise employment concerns and require careful change management.<\/p>\n Preventive cybersecurity<\/b><\/p>\n THE\u00a0preventive cybersecurity<\/a>\u00a0This is on the rise, as organizations face an exponential increase in threats targeting networks, data, and connected systems. Gartner predicts that, by 2030, preventative solutions will account for half of all security spending, as CIOs shift from reactive defense to proactive protection.<\/p>\n \u201c"Preventive cybersecurity involves acting before attackers strike, using SecOps with AI, programmatic denial, and deception techniques (deception)<\/i>\u201dThis is a world where foresight is protection,\u201c says Paulman.\u201d\u00a0<\/b><\/p>\n Digital provenance<\/b><\/p>\n As organizations increasingly rely on third-party software, open source, and AI-generated content, digital provenance verification has become essential. Digital provenance refers to the ability to verify the origin, ownership, and integrity of software, data, media, and processes. New tools, such as software bills of materials (SBoM), certification databases, and digital watermarks, offer organizations the means to validate and track digital assets throughout the supply chain.<\/p>\n Gartner predicts that by 2029, those who fail to invest adequately in digitally sourced resources will be subject to penalties that could reach billions of dollars.<\/p>\n Geopatriation<\/b><\/p>\n Geopatriation means transferring a company's data and applications from one place to another.\u00a0Clouds<\/a>\u00a0Global public offerings are shifting towards local options, such as sovereign clouds, regional providers, or the organization's own data centers, due to perceived geopolitical risk. Cloud sovereignty, once limited to banks and governments, now affects a wide range of organizations as global instability increases.<\/p>\n \u201cTransferring workloads to providers with an increasingly sovereign posture can help CIOs gain more control over data residency, compliance, and governance,\u201d says Alvarez. \u201cThis greater control can improve alignment with local regulations and build trust with clients who are concerned about data privacy or national interests.\u201d<\/p>\n Gartner predicts that by 2030, more than 751% of European and Middle Eastern companies will migrate their virtual workloads to solutions designed to reduce geopolitical risk, compared to less than 51% in 2025.<\/p>\n This year\u2019s key strategic technology trends highlight those that will generate significant disruption and opportunities for CIOs, IT leaders, and high-tech professionals over the next five years. Gartner clients can read more in the Special Report \u201cTop Strategic Technology Trends for 2026<\/a>\u201d.<\/p>\n About Gartner AI Use Case Insights\u00a0<\/span><\/b><\/p>\n Gartner AI Use Case Insights is an interactive tool that helps technology and business leaders efficiently discover, evaluate, and prioritize potential AI use cases. Clients can search over 500 use cases (AI applications in specific industries) and over 380 case studies (real-world examples) based on industry, business function, and Gartner's assessment of business value. Clients can access the interactive tool at\u00a0https:\/\/tools.gartner.com\/use-case-insights<\/a>.\u00a0\u00a0\u202f<\/span>\u00a0<\/span><\/p>\n About Gartner for High Tech Leaders & Providers<\/span><\/b>\u202f\u202f\u202f<\/span><\/b>\u00a0<\/span><\/b><\/p>\n Gartner for High Tech Leaders & Providers equips technology leaders and their teams with role-based best practices, industry insights, and strategic insights into emerging trends and market shifts to help them achieve their mission-critical priorities and build the successful companies of tomorrow. For more information, visit:\u00a0www.gartner.com\/en\/industries\/high-tech<\/a>. Follow the news and updates from Gartner for High Tech at\u00a0X<\/a>\u00a0and in\u00a0LinkedIn<\/a>\u00a0using #GartnerHT. <\/i><\/p>\n About Gartner\u00a0\u00a0<\/b><\/p>\n O\u00a0Gartner, Inc.<\/b><\/a>\u00a0delivers objective, actionable insights that drive smarter decisions and better performance for enterprises\u2019 mission-critical priorities. To learn more, visit\u00a0www.gartner.com<\/a>.<\/p>","protected":false},"excerpt":{"rendered":" O\u00a0Gartner, Inc., empresa de\u00a0insights\u00a0de neg\u00f3cios e tecnologia, anuncia sua lista das\u00a0principais tend\u00eancias tecnol\u00f3gicas estrat\u00e9gicas\u00a0que as organiza\u00e7\u00f5es precisam explorar em 2026. \u201cOs l\u00edderes de tecnologia enfrentam um ano crucial em 2026, em que a disrup\u00e7\u00e3o, a inova\u00e7\u00e3o e o risco est\u00e3o se expandindo em uma velocidade sem precedentes\u201d, afirma\u00a0Gene Alvarez, Vice-Presidente Analista Em\u00e9rito do Gartner. \u201cAs […]<\/p>\n","protected":false},"author":12,"featured_media":97128,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[8397,7120,7466,8396],"class_list":["post-97127","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-confianca-digital","tag-excelencia-operacional","tag-inovacao-responsavel","tag-principais-tendencias-tecnologicas-estrategicas-para-2026"],"acf":[],"yoast_head":"\n