AI helpers taking over money tasks – but who’s really in charge?
At a bustling tech fair in Amsterdam last month, the future of automation took center stage. Three industry giants unveiled a groundbreaking digital assistant—one that didn’t just respond to queries but took action. Picture this: a customer specifies a budget and date for concert tickets. The AI scours options, picks the best match, buys the ticket, and waits for a simple "yes" before finalizing the purchase. No human intervention. Just seamless execution.
Why Agentic AI is the Next Big Wave
For years, fintech startups and traditional banks have battled for customer loyalty. Now, many are joining forces—not to outmaneuver each other, but to integrate agentic AI, software that acts like a hyper-efficient intern. It doesn’t just assist; it researches, compares, and completes tasks with minimal oversight.
A recent study by university researchers surveyed over 600 companies worldwide on their AI adoption. Today, 25% use agentic AI, but by 2030, that figure could skyrocket to 80%. The catch? Most organizations aren’t prepared. Regulatory frameworks and safety protocols are struggling to keep pace with the breakneck speed of innovation.
From Trading to Customer Service: Where AI is Already Working
Some companies have already handed over critical decision-making to these digital helpers. Take an investing app that monitors politicians’ social media posts and breaking market news. Within seconds, it executes trades in users’ accounts—buying or selling stocks based on real-time events. The company has ramped up its AI code tenfold in six months, yet still relies on humans to set boundaries and approve final moves.
Customer service is another battlefield. A Swedish "buy now, pay later" firm deployed an AI assistant that handles chats equivalent to 700 human agents. The CEO admitted to cutting jobs to cut costs—but had to hire some back after customers complained about declining service quality. The takeaway? While AI excels at efficiency, human touch remains irreplaceable in client-facing roles like sales and legal.
Banks Are Betting Big on AI—But Keeping Humans in the Loop
Traditional banks are also diving in. A major Dutch bank slashed its branches from 500 to 26 in a decade, with plans to eliminate thousands more jobs by 2028. Yet their CEO insists humans stay in control: “Bad processes remain bad even with AI. We need guardrails, not handcuffs.”
But skepticism lingers. A research firm predicts 40% of AI projects could fail by 2027—either because costs spiral out of control or because the tech doesn’t deliver real value. Another report highlights a critical gap: companies need clearer rules on when AI should act autonomously versus when humans must intervene.
The Big Question: How Much Power Should We Give AI?
Agentic AI follows instructions flawlessly—but does it grasp consequences? A machine can execute a trade in milliseconds, but can it weigh the human impact of that decision? As companies race to automate, the tension between speed and oversight grows. Will guardrails be enough, or will we need to rethink control itself?
One thing’s certain: the era of AI that just answers questions is ending. The future belongs to helpers that do the doing—and we’re only beginning to understand what that means.
