AI agents capable of planning and executing multi-step tasks like making restaurant reservations or purchasing clothes are sparking a generational divide in the workplace. While younger workers express deep skepticism over privacy and security, older colleagues lean toward cautious optimism regarding productivity gains, according to workplace interviews conducted across generations.
Gen Z Skepticism and Privacy Concerns Over AI Agents
Growing up alongside rapid technological shifts has left many Gen Z workers acutely aware of digital limitations and security risks. Pew Research Center polling shows that Americans under age 30 are increasingly skeptical of artificial intelligence benefits, mirroring sentiments shared across economy newsrooms.
“I’m hearing about people using AI and they’re like feeding their bank information or personal things into a software — that just immediately turns me off,” said Ayelet Sheffey, a senior education reporter, citing distrust in third-party task execution. Economy reporter Allie Kelly noted that professional obligations require public engagement, yet personal data protection remains a strict boundary. “If I want an agent to analyze something, I will give it something specific to analyze — I’m not going to give it access to my inbox,” Kelly said.
Senior reporter Juliana Kaplan questioned the commercial incentives behind agent platforms, pointing out potential conflicts of interest if an agent recommends financial products tied to corporate partnerships. Meanwhile, senior economy reporter Noah Sheidlower emphasized the importance of maintaining personal agency. “I’ve read stories of agents invading privacy and doing tasks it should not be doing that have harmful repercussions, and I want to stay in control as much as I can,” Sheidlower said. Reporter Madison Hoff added that she prefers using her own cognitive effort for creative research tasks rather than delegating them to automation.
Millennial Cautious Optimism and Workflow Automation
Millennial editors approach AI agents with tempered expectations, viewing them as potential tools for streamlining repetitive tasks once accuracy and data security improve. Bartie Scott, an economy deputy editor, suggested that voice-driven agents might eventually help alleviate screen fatigue and manage daily workloads, though she remains watchful regarding environmental impacts and technology adoption rates.
Senior economic data editor Andy Kiersz indicated a willingness to adopt agentic tools for specific, time-consuming research chores, such as crawling repositories of economics papers to review abstracts. “I could totally see putting an agent to go crawl repositories of economics papers and read through the abstracts,” Kiersz said, framing it as a way to focus on the more interesting parts of the job.
Did you know? Early consumer tests with tools like Meta’s Muse personal AI agent demonstrate that multi-step tasks often still require manual intervention, such as handling two-factor authentication codes and login credentials.
Real-World Testing of Personal AI Agents
Practical application tests highlight current technological bottlenecks. Ryan Kailath, an elder millennial and senior editor who frequently manages airline loyalty programs, tested Meta’s personal AI agent, Muse, launched in early September, to assist with complex travel bookings.
Despite targeting a major logistical friction point, the trial encountered multiple hurdles. “My one test case where I thought, ‘Here’s a big friction in my life, maybe an agent could make this friction easier,’ it failed miserably,” Kailath said, citing friction around login credentials and authentication. Despite these initial failures, he remains open to future iterations, noting that the technology is likely here to stay.
Frequently Asked Questions
What is the main difference between a chatbot and an AI agent?
While chatbots typically respond to conversational prompts, AI agents are designed to autonomously plan and execute multi-step tasks, such as booking travel or managing inbox data.
Why are Gen Z workers more skeptical of AI agents?
Gen Z professionals frequently cite heightened concerns over data privacy, security scams, corporate incentives, and a general reluctance to surrender personal agency to automated software.
How do millennials view the future of workplace AI?
Millennial editors and reporters express cautious optimism, seeing potential value in delegating tedious administrative tasks like literature reviews, provided data breaches are minimized and reliability improves.
Are personal AI agents currently reliable for complex bookings?
Early tests by users attempting complex logistical tasks like airline awards bookings show that agents still struggle with friction points such as authentication codes and manual logins.
Want more reporting on the evolving tech industry? Explore our latest articles or join the conversation by sharing your thoughts below.