Gartner, a worldwide market research firm, chosen artificial intelligence (AI) agents first as a serious technology trend for 2025. As well as, AI-related technologies, including the recently emerging ‘spatial intelligence’, accounted for as many as 9 items.
On the twenty first (local time), Gartner introduced 10 major technologies through a report titled ‘Top 10 Strategic Technology Trends for 2025’.
Representative technologies that directly mention AI include ▲Agent AI, ▲AI Governance Platforms, ▲Disinformation Security, and ▲Spatial Computing.
As well as, ▲Ambient Invisible Intelligence ▲Polyfunctional Robots technology development resulting from the event of AI technology, in addition to ▲Energy-Efficient Computing ▲Hybrid Computing, etc. were also chosen as major items.
Along with this, ▲Post-quantum Cryptography and ▲Neurological Enhancement were mentioned.
Initially, autonomous AI, or AI agents, are expected to turn into a vital technology. In 2024, AI agents will account for no share of each day tasks, however it is predicted that at the least 15% of tasks might be handled autonomously by AI agents by 2028.
Accordingly, the necessity for robust safety devices that meet user intent is emphasized, and the demand for AI governance platforms to construct transparent and trustworthy technology is predicted to grow.
The identical goes for disinformation security. This was identified as an issue with technology for identity verification in addition to the spread of pretend news through bots.
It is usually interesting to notice that spatial intelligence, which has recently been developed across the Large World Model (LWM), has been discussed. It is a technology being developed by Stanford University professor Fei-Fei Lee and chief scientist Yann LeCun Mehta with the goal of artificial general intelligence (AGI).
This can be connected to general-purpose humanoid robot technology, that’s, multi-functional robots. Here, peripheral invisibility technology refers to technologies reminiscent of smart homes and smart factories, and is connected to AI technology based on data.
Energy-efficient computing and hybrid computing are also different within the rapidly growing AI power demand.
Particularly, hybrid computing goals to construct a brand new concept of ultra-efficient computing by efficiently combining the seven currently existing computing paradigms, namely CPU, GPU, edge, application-specific integrated circuits, neural systems, quantum, and optical computing, with storage and networking. says Through this, it is predicted that it could actually play a crucial role in overcoming the technical limitations of current AI development.
Lastly, neurological enhancement refers to a technology called Neuralink’s brain-computer interface (BCI). It is predicted that it can be used to reinforce human abilities by installing devices directly on the brain or wearing them as wearables. Efforts are also being made to include AI.
Amongst these 10 technologies, 9, excluding one quantum encryption, are related to AI.
As well as, Gartner predicted that ▲the need and risks of AI, ▲latest horizons in computing, and ▲synergy between humans and machines might be essential issues next 12 months through the highest 10 technologies.
Gartner Vice President Jeanne Alvarez identified, “Things are moving really fast.”
Regarding AI agents particularly, he said, “Nobody goes to bed after getting every part done. Organizations spend plenty of time specializing in monitoring,” and added, “The power to create an agent that cannot only monitor but take motion is just not only about productivity, but additionally about productivity.” “It is going to even be of great help by way of timing,” he emphasized.
Reporter Lim Da-jun ydj@aitimes.com
