The experts at Gartner unveiled their compilation of the top 10 strategic technology trends to keep an eye on in 2025 earlier this week, with a strong emphasis on the impact of artificial intelligence.
Gartner Vice President Analyst Gene Alvarez highlighted that this year’s key strategic technology trends range from essential AI considerations and potential risks to emerging advancements in computing and the harmonious collaboration between humans and machines. Monitoring these trends will allow IT leaders to influence the future of their organizations through responsible and ethical innovation.
Agentic AI systems topped the list, showcasing their ability to independently plan and carry out tasks in alignment with user-established objectives. In 2028, the company foresaw a scenario where a minimum of 15% of daily work choices would be handled independently by Agentic AI, a significant leap from 0% in 2024. Ambuj Kumar, the founder of Simbian, a company in Mountain View, California that offers autonomous AI agents for cybersecurity, confidently stated that Agentic AI is undoubtedly the upcoming direction for the enterprise workforce.
According to TechNewsWorld, picture a field such as security facing challenges like a shortage of 3. 5 million workers, employees burdened with heavy workloads, and the necessity for ongoing education on new threats. In such a setting, imagine the appeal of a solution offering virtual employees who stay consistently updated with the latest skills, cost significantly less than human counterparts, operate around the clock, and can be easily adjusted according to business needs. This is the commitment of AI Agents.
AI challenges related to agency.
For Agentic AI technology to achieve the predicted level of penetration by Gartner, it will need to overcome certain challenges. Sandi Besen, an applied AI researcher at both IBM and Neudesic, a global professional services company, elucidated that the design of efficient Agentic AI systems remains an experimental endeavor.
She mentioned to TechNewsWorld that the field will evolve as AI engineers and solution architects refine their approaches Numerous renowned Agentic frameworks take different approaches to designing AI systems. At present, modern frameworks such as LangChain and Autogen predominantly utilize language models for decision-making, whereas alternatives like LangGraph incorporate AI agents into structured, rule-based processes.
The effectiveness of these systems hinges on their design, an aspect that is continuously evolving. It is probable that we will witness a mixture of successes and failures before standardized best practices prevail across the industry. Furthermore, she mentioned that the readiness of businesses to embrace these advancing systems will play a crucial role in the scalability and enduring prosperity of Agentic AI.
