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2025Top StrategicTechnologyTrends Strategic technology trends are shaping thefuture by driving innovation while upholdingethical responsibility and trust For CIOs and other senior IT leaders, the true measure of leadership lies in the ability to anticipate and preparefor the future — far beyond the immediate horizon. The 2025 Gartner Top Strategic Technology Trends serveas a vital star map for this journey, and the trends fall into three buckets: New frontiersof computing Human-machinesynergy AI imperativesand risks Prepare for enhanced interactions betweenphysical and virtual experiences, robotsintegrating into daily life, and technologies thatdirectly influence cognition and performance. The rise of AI agents will require advancementsin AI governance and new technologies tocombat disinformation. Quantum computing will require newcryptographic methods, while low-costsensors will enable innovative business models. As you delve into this guide, consider how these trends align with your organization’s digital ambitionsand how they can be integrated into your strategic planning to drive long-term success. Gene AlvarezDistinguished VP Analyst, Gartner 2025GartnerTop 10 StrategicTechnologyTrends Agentic AIAI Governance PlatformsDisinformation Security AI imperativesand risksAI imperativesand risks Post-Quantum CryptographyAmbient Invisible IntelligenceEnergy-Eicient ComputingHybrid Computing New frontiersof computing Gartner carefully selected these 10 trends based ontheir potential to disrupt traditional business models,enable new forms of innovation and address the mostpressing challenges facing enterprises today. Spatial ComputingPolyfunctional RobotsNeurological Enhancement Human-machinesynergy They represent strategic imperatives that requirethoughtful consideration and decisive action. What to know aboutthe Top 10 StrategicTechnology Trends Learn more about each trend and its usecases today and tomorrow. Mind the AI Agency Gap Agentic AI1 Agentic AI refers to software programs thatare designed to independently make decisionsand take actions to achieve specific goals. These programs combine various AI techniqueswith features like memory, planning, sensingthe environment, using tools and followingsafety guidelines to carry out tasks to reachobjectives on their own. For more on how it works and how to get started,read: “What Is Agentic AI?” Agentic AI Gartner predicts By 2028, at least 15% of day-to-day work decisionswill be made autonomously through agentic AI, upfrom 0% in 2024. Source: Gartner Why trending? Use cases •Empowering workers to develop andmanage more complicated, technicalprojects — whether microautomationsor larger projects — through naturallanguage Agentic AI’s ability to take actionautonomously or semiautonomously hasthe potential to help CIOs realize their visionfor generative AI to increase productivityacross the organization. Organizations have long wanted to promotehigh-performing teams, improve cross-functionalcollaboration and coordinate issues across teamnetworks. Agentic AI has the potential to perform asa highly competent teammate by providing insightsfrom derivative events that are often not visible tohuman teammates. •Automating customer experiencesby using data analysis to make highlycalculated decisions at each step •Changing decision making and improvingsituational awareness in organizationsthrough quicker data analysis andprediction intelligence Tom CoshowSenior Director Analyst, Gartner AI GovernancePlatforms2 AI governance platforms help manage andcontrol AI systems by ensuring they are usedresponsibly and ethically. They allow IT leaders to make sure AI is reliable,transparent, fair and accountable while alsomeeting safety and ethical standards. Thisensures that AI aligns with the organization’svalues and broader societal expectations. For more on how it works and how to get started,read: “What Are AI Governance Platforms?” AI GovernancePlatforms Gartner predicts By 2028, enterprises using AI governance platformswill achieve 30% higher customer trust ratingsand 25% better regulatory compliance scores thantheircompetitors. Source: Gartner Why trending? Use cases AI is being used in more areas, especiallyin industries with strict regulations. As AIspreads, so do risks like bias, privacy issuesand the need to align with human values.It’s crucial to ensure AI doesn’t harm certaingroups, manipulate markets or controlimportant systems. •Assessing potential risks and harmsthat AI systems may pose, such as bias,privacy violations and negative societalimpacts When you use a bank’s mobile app or website, AIis often behind features like fraud detection, loanapprovals and personalized finance advice. An AIgovernance platform helps the bank ensure thesesystems are making decisions fairly and ethically,protecting data and complying with regulations. •Guiding AI models through the modelgovernance process to ensure allappropriate gates a