Curated from Latest from TechRadar US in News,opinion — Here’s what matters right now:
Imagine a digital version of yourself that moves faster than your fingers ever could - an AI-powered agent that knows your preferences, anticipates your needs, and acts on your behalf. This isn't just an assistant responding to prompts; it makes decisions. It scans options, compares prices, filters noise, and completes purchases in the digital world, all while you go about your day in the real world. This is the future so many AI companies are building toward: agentic AI. Brands, platforms, and intermediaries will deploy their own AI tools and agents to prioritize products, target offers, and close deals, creating a new universe-sized digital ecosystem where machines talk to machines, and humans hover just outside the loop. Recent reports that OpenAI will integrate a checkout system into ChatGPT offer a glimpse into this future – purchases could soon be completed seamlessly within the platform with no need for consumers to visit a separate site. AI agents becoming autonomous As AI agents become more capable and autonomous, they will redefine how consumers discover products, make decisions and interact with brands daily. This raises a critical question: when your AI agent is buying for you, who’s responsible for the decision? Who do we hold accountable when something goes wrong? And how do we ensure that human needs, preferences, and feedback from the real world still carry weight in the digital world? Right now, the operations of most AI agents are opaque. They don’t disclose how a decision was made or whether commercial incentives were involved. If your agent never surfaces a certain product , you may never even know it was an option. If a decision is biased, flawed, or misleading, there’s often no clear path for recourse. Surveys already show that a lack of transparency is eroding trust; a YouGov survey found 54% of Americans don't trust AI to make unbiased decisions. The issue of reliability Another consideration is hallucination - an instance when AI systems produce incorrect or entirely fabricated information. In the context of AI-powered customer assistants, these hallucinations can have serious consequences. An agent might give a confidently incorrect answer, recommend a non-existent business, or suggest an option that is inappropriate or misleading. If an AI assistant makes a critical mistake, such as booking a user into the wrong airport or misrepresenting key features of a product, that user's trust in the system is likely to collapse. Trust once broken is difficult to rebuild. Unfortunately, this risk is very real without ongoing monitoring and access to the latest data. As one analyst put it, the adage still holds: “garbage in, garbage out.” If an AI system is not properly maintained, regularly updated, and carefully guided, hallucinations and inaccuracies will inevitably creep in. In higher-stakes applications, for example, financial services, healthcare, or travel, additional safeguards are often necessary. These could include human
Next step: Stay ahead with trusted tech. See our store for scanners, detectors, and privacy-first accessories.
Original reporting: Latest from TechRadar US in News,opinion