TLDR: Gartner’s 2025 technology priorities underscore the critical importance of AI agents and robust data readiness for organizations. The firm emphasizes that successful AI deployment hinges on establishing relevant business contexts and implementing strong AI Trust, Risk, and Security Management (TRiSM) frameworks to ensure responsible and ethical use.
Gartner, a leading research and advisory company, has unveiled its top technology priorities for 2025, placing a significant emphasis on the transformative potential of AI agents and the foundational necessity of data readiness. These insights are designed to guide technology executives in navigating the evolving digital landscape and making strategic decisions as artificial intelligence continues to reshape business operations.
At the forefront of Gartner’s recommendations is ‘Agentic AI,’ described as autonomous AI systems capable of planning and executing actions to achieve user-defined goals. This advanced form of AI is poised to revolutionize workflows by creating new digital co-workers, enhancing cross-functional collaboration, and automating time-consuming tasks. Gene Alvarez, Distinguished VP Analyst and leader of Gartner’s Top Trends team, highlighted that Agentic AI represents a powerful new tool for overcoming productivity, security, and innovation obstacles. Gartner predicts that by 2028, a substantial 15% of day-to-day work decisions will be made autonomously through Agentic AI. Early adopters are already leveraging this technology in areas such as financial robo-advisors, autonomous vehicle systems, and AI-enabled autonomous hedge funds.
Complementing the rise of AI agents is the critical need for ‘data readiness.’ Organizations must ensure their data is prepared and structured within relevant business contexts to effectively support AI initiatives. This foundational element is crucial for the accurate and reliable functioning of AI systems.
Furthermore, Gartner stresses the indispensable role of ‘AI Trust, Risk, and Security Management (TRiSM)’ for responsible AI deployment. This involves implementing robust frameworks and technology solutions, such as ‘AI governance platforms,’ to manage the legal, ethical, and operational performance of AI systems. Ensuring trust and mitigating risks associated with AI are paramount as these technologies become more integrated into core business processes.
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Beyond AI agents and data readiness, Gartner’s broader list of 2025 strategic technology trends includes ‘Post-quantum Cryptography’ to address emerging cybersecurity threats, ‘Spatial Computing,’ ‘Ambient Invisible Intelligence,’ ‘Polyfunctional Robots’ for enhanced human-machine synergy, ‘Disinformation Security’ aimed at systematically discerning trust, ‘Energy-Efficient Computing,’ ‘Neurological Enhancement,’ and ‘Hybrid Computing.’ These trends collectively form a ‘star map’ for organizations to innovate responsibly and prepare for future success, with AI imperatives and risks being a central theme.
