Hassan Khan
The idea of Agentic AI artificial intelligence that doesn’t just answer questions but takes action on our behalf has become one of the hottest topics in tech circles. From scheduling meetings to making purchases online, these AI agents are being pitched as the next big leap after chatbots like ChatGPT and Claude. But while the vision is futuristic, the path forward is far from smooth.
Experts warn that the biggest challenge is Trust. Handing over decisions, data, and money to AI requires more confidence than most people currently have. Stories of AI “Hallucinations” and flawed outputs have already made companies wary. And when it comes to sensitive actions like shopping or filing documents, even one wrong move can break customer confidence.
No 1. Currently Lacking Agents
AI agents need to work with banks, shops, and government portals. Most of these systems aren’t ready.
Some “Computer using agents” mimic human clicks, but results are buggy. Errors are common. If an agent files the wrong form or makes a purchase mistake, who takes the blame? The user? The company? The AI maker?
Until this is solved, many organizations will hold back.
Another issue is infrastructure. While companies like OpenAI are experimenting with computer using agents that mimic human interaction with websites, many online platforms aren’t yet built to support this. Think of it like the early days of smartphones before every site became mobile friendly. Until systems are redesigned for AI collaboration, errors and accountability concerns will remain.
No 2. A security risk
Security is an even bigger issue. AI agents often need full access data, accounts, even money. If hacked, they could leak files, approve fake invoices, or make purchases. Combined with deepfakes and scams, the risks are high.
Read More: 5 AI Agent Myths You Need To Stop Believing Now
For progress, security has to be stronger. Smarter isn’t enough. Agents must also be safe.
The security risks are even harder to ignore. With agents having broad access to accounts, data, and tools, they’re attractive targets for hackers. A hijacked AI assistant could make unauthorized purchases, leak private information, or even be used for fraud. Tech leaders agree that security frameworks must evolve before mainstream rollout.
Summary
In-Short: This article explores the rise of Agentic AI, the next step beyond chatbots like ChatGPT, where AI systems can take independent actions. It highlights the key challenges holding back adoption: trust issues, lack of infrastructure, security risks, and cultural resistance. The piece compares today’s stage to the early days of smartphones, stressing the need for reliable frameworks and accountability. Ultimately, it argues that both human and technological barriers must be solved before agentic AI can safely become mainstream.
