Agentic AI, Cyborgs Featured on Gartner’s Tech-To-Watch List for 2025

Gartner, a leading research and advisory company, has released its list of technologies to watch for in 2025. The list includes a variety of emerging technologies that have the potential to disrupt industries and change the way we live and work.

Two of the technologies on Gartner's list, agentic AI and cyborgs, are particularly interesting. Agentic AI refers to artificial intelligence (AI) that can act independently and make its own decisions. This type of AI is still in its early stages of development, but it has the potential to revolutionize a wide range of industries, from healthcare to transportation.

Agentic AI Challenges

To obtain the penetration predicted by Gartner, though, Agentic AI technology will have to surmount some challenges. “Designing effective Agentic AI systems is still experimental,” explained Sandi Besen, an applied AI researcher at IBM and Neudesic, a global professional services company.

“As AI engineers and solution architects continue to refine their approaches, the field will evolve,” she told TechNewsWorld.

“Many popular Agentic frameworks approach the design of creating an AI system differently. Currently, popular frameworks like LangChain and Autogen rely heavily on language models to make decisions, while others, like LangGraph, integrate AI agents into more structured, rule-based workflows.

“The success of these systems depends on how they are designed, which is still an evolving area. We will likely see both successes and failures before industry-wide best practices emerge.”

What’s more, she added, “The willingness of businesses to adopt these evolving systems will also be a major factor in the scalability and long-term success of Agentic AI.”

 
“As AI advances, it has the potential to further improve productivity and provide workers with new ways to solve problems,” said Jennifer Huddleston, a technology policy research fellow at the Cato Institute, a Washington, D.C. think tank.

“There are many different ways this could occur, and some will be industry-specific and quite significant, while others will be more subtle,” she told TechNewsWorld.

“The exact incorporation of AI and the productivity gains from AI will, of course, vary depending on the role and the industry, but it is important policy does not try to predict all the potential uses and allow industry and technology to provide beneficial options to solve a wide range of challenges.”

AI Governance Platforms

Gartner also recommended organizations consider deploying AI governance platforms. Those platforms have the capability to create, manage, and enforce policies for responsible AI use, explain how AI systems work, and provide transparency to build trust and accountability, it explained.

Gartner predicted that by 2028, organizations that implement comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents compared to those without such systems.

“Without question, AI governance is crucial for mitigating ethical incidents because it provides structured oversight and accountability in AI development and deployment,” said Mark N. Vena, president and principal analyst at SmartTech Research in Las Vegas.

“By implementing clear policies and frameworks, organizations can ensure that AI systems align with ethical standards, such as fairness, transparency, and non-bias,” he told TechNewsWorld.

“Governance platforms also help in monitoring and auditing AI behavior, making it easier to detect and address potential risks early,” he added. “Without proper governance, organizations are more likely to face issues such as discriminatory outcomes, privacy violations, and regulatory non-compliance.”

Addressing Disinformation

Gartner also predicted more organizations will be investing in disinformation security. By 2028, it forecasted that 50% of enterprises will begin adopting products, services or features explicitly designed to address disinformation security use cases, up from less than 5% today.

“Disinformation drives bad decisions, and it is particularly problematic for AIs,” said Rob Enderle, president and principal analyst at the Enderle Group, an advisory services firm in Bend, Ore.

“The AIs will be making decisions on this bad information far more rapidly, making post-decision mitigation nearly impossible by humans,” he told TechNewsWorld. “So solving the disinformation problem becomes even more critical for AIs than it is with humans.”

 Vena added that disinformation can harm enterprises by damaging their reputation, as false information spreads quickly and can lead to public distrust.

“It can also result in financial losses if disinformation disrupts operations, influences stock prices, or misguides customers,” he said.

“Additionally,” he continued, “disinformation can create security vulnerabilities by manipulating employees, leading to poor decision-making or increased susceptibility to social engineering attacks.”

Postquantum Cryptography

Postquantum cryptography also needs to be on organizations’ radar in 2025. Quantum computing developments are expected to end several types of conventional cryptography that are now widely used, Gartner explained. It predicted that by 2029, advances in quantum computing will make most conventional asymmetric cryptography unsafe to use.

“I fully agree with Gartner’s statement,” said Florian Neukart, chief product officer at Terra Quantum, a quantum as a service provider in St. Gallen, Switzerland.

“The prediction for 2029 is realistic given the rapid advances in quantum computing,” he told TechNewsWorld.

“Conventional asymmetric cryptography, particularly RSA and ECC, are vulnerable to quantum attacks, such as Shor’s algorithm, which can break these systems. Organizations must start transitioning to post-quantum cryptographic solutions now. Switching cryptographic methods requires significant lead time to ensure sensitive data remains secure in a quantum future.”

Duncan Jones, head of cybersecurity at Quantinuum, an international quantum computing hardware and software company, asserted Gartner’s prediction misses an important point. “What’s important is the date when organizations must take the threat seriously,” he told TechNewsWorld. “And that date has already passed.”

Summary

• Gartner has released a list of technologies to watch for in 2025.
• Agentic AI and cyborgs are two of the technologies on the list.
• Agentic AI refers to AI that can act independently and make its own decisions.
• Cyborgs are organisms that have both biological and technological components.
• Both agentic AI and cyborgs have the potential to disrupt industries and change the way we live and work.
• The development of these technologies also raises ethical concerns.