Productivity on Seunghoon Choi

Seven AI-Era Work Skills: EQ, Trust, and Reputation Make the Final Difference

Wed, 24 Jun 2026 00:00:00 +0000

The more AI assists with the thinking process, the more humans must demonstrate the ability to check and complete assigned tasks.

We have entered an age when AI produces answers quickly. Finding information, writing sentences, organizing ideas, and making drafts have become much easier. But faster answers do not automatically make work better. If anything, as a large part of intelligence gets outsourced to AI, the human role becomes clearer.

Why Cutting Staff After Adopting AI Can Make a Company Slower

Sun, 21 Jun 2026 17:56:30 +0900

When a desk becomes empty, payroll costs fall, but the company may also lose the work context that person knew.

When a company adopts AI tools, one sentence almost always appears: “So how many people can we cut now?” On the surface, it sounds reasonable. AI writes reports, organizes minutes, researches material, writes code, and drafts plans. Some work is genuinely faster than humans.

Why Heavy AI Use Can Slow a Company Down: The Hidden Costs Beyond Tokens

Sun, 21 Jun 2026 17:56:30 +0900

The cost of AI includes not only usage fees, but also the time people spend reading and correcting its output.

When a company starts using AI heavily, everything seems faster at first. Reports appear sooner. Meeting notes are organized. Emails read better. Everyone says productivity has improved.

Then something strange happens. The company produces more, but decisions do not come any faster. Documents multiply, while fewer people take clear ownership. A summary arrives before the meeting, but the meeting lasts just as long. More AI has not made the company faster. It has made the work more complicated.