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AI is increasing productivity,
but it is also reshaping the structure of jobs.

In the previous article, we explored five job categories
that may be affected by AI:

• data entry and administrative work
• basic customer service
• translation
• content creation
• basic accounting

In the AI era,
repetitive and rule-based tasks are most likely to be automated.

In this article, we explore
five additional job categories that may change significantly.

👉 Related reading: Jobs That May Disappear in the AI Era (1) — 5 Roles Most Likely to Be Automated

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1️⃣ Basic Design Work

AI design tools are evolving rapidly.

Today, AI can generate:

• images
• logos
• simple design layouts
• templates

Tasks that once required professional designers
can now be done by individuals with basic ideas.

As a result,
repetitive or template-based design work
may increasingly be automated.

However:

• brand strategy
• creative direction
• artistic expression

still rely heavily on human input.

👉 Related reading: Skills You Need in the AI Era — 5 Traits of People Who Will Succeed

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2️⃣ Logistics and Transportation Work

AI is also transforming the logistics industry.

Key technologies include:

• autonomous driving
• automated logistics systems
• delivery robots

As these technologies develop,
the structure of logistics and transportation may change.

Jobs focused on simple transportation tasks
are more likely to be affected by automation.

👉 Related reading: AI Industry Outlook 2026 — Top Industries Driving Growth and Investment Trends

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3️⃣ Repetitive Manufacturing Jobs

Automation has already been widely adopted in manufacturing.

Especially in areas such as:

• repetitive production tasks
• assembly line work
• standardized processes

These types of jobs are highly automatable.

However:

• system management
• production strategy
• process optimization

remain human-driven roles.

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4️⃣ Basic Data Analysis Work

AI is extremely effective at analyzing data
and identifying patterns.

Tasks such as:

• basic data analysis
• simple statistical work
• repetitive data processing

are increasingly being automated.

This shift may create uncertainty
for those entering data-related careers.

However, higher-level roles remain important:

• defining problems
• designing analytical frameworks
• supporting decision-making

These areas still require human judgment.

👉 Related reading: How Money Is Made in the AI Era — The Shift in Wealth Structure

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5️⃣ Basic Research and Information Gathering

AI can quickly search, organize, and summarize large amounts of information.

Examples include:

• information search
• basic research
• data summarization

These tasks can now be performed rapidly by AI tools.

As a result,
routine research work may be largely automated.

However:

• setting research direction
• interpreting information
• generating insights

still depend on human thinking.

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📌 Final Thoughts

AI may change or reduce certain jobs,
but it will not eliminate all work.

As technology evolves:

• new industries will emerge
• new roles will be created

AI is strong at:

• repetitive tasks
• data processing
• automation

But still limited in:

• problem definition
• creative thinking
• strategic judgment

This leads to a key shift:

From execution → to thinking and direction

Even in the AI era,
human roles are not disappearing —
they are evolving into new forms.