Gartner’s 2025 Tech Trends: The Rise of Agentic AI and Cyborgs

Agentic AI systems autonomously plan and take actions to meet user-defined goals. Agentic AI offers the promise of a virtual workforce that can offload and augment human work. Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024.

AI governance platforms are a part of Gartner’s evolving AI Trust, Risk and Security Management (TRiSM) framework. This enables organisations to manage the legal, ethical and operational performance of their AI systems.  Gartner predicts that by 2028, organizations that implement comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents compared to those without such systems.

Disinformation security systematically discerns trust and aims to provide methodological systems for ensuring integrity, assessing authenticity, preventing impersonation and tracking the spread of harmful information. By 2028, Gartner predicts that 50% of enterprises will begin adopting products, services or features designed specifically to address disinformation security use cases, up from less than 5% today.

Postquantum cryptography provides data protection that is resistant to quantum computing decryption risks. It is not easy to switch cryptography methods so organizations must have a longer lead time to ready themselves for robust protection of anything sensitive or confidential. Gartner predicts that by 2029, advances in quantum computing will make most conventional asymmetric cryptography unsafe to use.

Ambient invisible intelligence is enabled by ultra-low cost, small smart tags and sensors which will deliver large-scale affordable tracking and sensing. By 2027, ambient invisible intelligence will focus on solving immediate problems, such as retail stock checking or perishable goods logistics. This will lead to low-cost, real-time tracking and sensing of items to improve visibility and efficiency.

IT impacts sustainability in many ways and in 2024 the leading consideration for most IT organisations is their carbon footprint. It is expected that starting in the late 2020s, several new compute technologies, such as optical, neuromorphic and novel accelerators, will emerge for AI and optimization. This will significantly use less energy.

Hybrid computing combines different compute, storage and network mechanisms to solve computational problems. This form of computing helps organizations explore and solve problems which helps technologies, such as AI, perform beyond current technological limits. Hybrid computing will be used to create highly efficient transformative innovation environments. This will perform more effectively than conventional environments.

Spatial computing digitally enhances the physical world with technologies such as augmented reality and virtual reality. The use of spatial computing will increase organizations’ effectiveness in the next five to seven years through streamlined workflows and enhanced collaboration. By 2033, Gartner predicts spatial computing will grow to US$1.7 trillion, up from US$110 billion in 2023.