AI FLUENCY · PHASE 1: AWARENESS
Module 6 — AI and the Human World | Lesson 022
How Is AI Changing Jobs and Work?
Explore how AI is changing workplace tasks, automating some activities, augmenting human capabilities, and reshaping professional skills.
Watch the 54-second silent visual lesson, then explore the examples, explanations, and reflection activities below.
Watch on YouTube →Introduction
Artificial Intelligence is changing how people work, perform tasks, solve problems, and develop professional skills.
AI can help employees write documents, analyze information, prepare presentations, generate ideas, and organize activities.
But this raises an important question:
Will AI replace jobs, or will it change how people perform them?
The answer is not the same for every occupation.
Some tasks may become automated. Other tasks may be performed more effectively with AI assistance. Entire jobs can also change as organizations redesign workflows.
Understanding these differences is an important part of AI Fluency.
1. AI Is Changing Workplace Tasks
A job is usually made up of several different activities.
For example, a marketing professional may research customers, develop ideas, prepare content, review performance, and coordinate campaigns.
AI may support some of these activities without performing the entire job.
Writing
Draft emails, reports, messages, and documents.
Analysis
Organize data, identify patterns, and summarize findings.
Creativity
Generate ideas, explore alternatives, and prepare drafts.
Planning
Structure activities, develop plans, and organize tasks.
However, AI-generated results may still require checking, revision, and human approval.
2. Automation vs Augmentation
Two important ways AI influences work are automation and augmentation.
Automation
⚙️
Automation occurs when technology performs tasks with reduced human involvement.
Example: AI automatically categorizes routine customer support requests.
Augmentation
🤝
Augmentation occurs when technology supports people in performing tasks more effectively.
Example: AI helps a support employee draft a response to a complex customer question.
Automation and augmentation are not mutually exclusive.
The same workplace may use AI to automate some repetitive activities while supporting employees with more complex tasks.
| Aspect | Automation | Augmentation |
|---|---|---|
| Main Purpose | Perform selected tasks | Support human performance |
| Human Role | Configure, supervise, or handle exceptions | Guide, evaluate, and complete the work |
| Example | Automatic request classification | AI-assisted response preparation |
3. Everyday Example: A Marketing Campaign
Imagine a marketing professional preparing a campaign for an eco-friendly water bottle.
The professional asks AI:
"Suggest three campaign ideas for an eco-friendly water bottle and draft short social media messages."
The AI generates several ideas and draft messages.
But the work is not finished.
The marketing professional must evaluate the suggestions, understand customer needs, verify environmental claims, and decide which approach fits the campaign.
Human–AI Collaboration
Communicate the product's value to the intended audience.
↓
Suggest campaign ideas and draft messages.
↓
Check claims, suitability, quality, and customer needs.
↓
Choose, refine, approve, and publish the campaign.
Goal → Generate → Evaluate → Deliver
AI can help accelerate parts of the process, but the professional remains accountable for the final campaign.
4. Does AI Replace Tasks or Entire Jobs?
The distinction between a task and a job is important.
A task is one activity. A job usually includes many related tasks, responsibilities, and interactions.
Automating one task does not automatically eliminate an entire job.
For example, AI may generate a first draft of a report, but the employee may still need to review evidence, consult colleagues, make decisions, and communicate the results.
However, AI can also change how many people are needed, what work is valued, and how organizations distribute responsibilities.
Some roles may expand, others may change significantly, and some may decline as technology and business practices evolve.
AI can automate tasks without necessarily replacing jobs. But widespread task automation can still reshape employment.
5. How Are Human Skills Changing?
As AI capabilities evolve, people may need to develop new ways of working.
Technical familiarity with AI tools can be useful, but human skills remain important.
Question assumptions, evaluate evidence, and identify errors.
Develop ideas, imagine alternatives, and create useful solutions.
Understand people, explain decisions, and collaborate effectively.
Learn new approaches as tools and work requirements change.
Define meaningful problems and evaluate possible solutions.
Recognize limitations, protect information, and review important outputs.
Learning how to work with AI can become part of professional development and lifelong learning.
6. What Opportunities Does AI Create?
AI may create opportunities for employees and organizations to explore new ways of working.
Examples include:
- Reducing time spent preparing routine first drafts.
- Helping people analyze larger volumes of information.
- Supporting creative exploration and experimentation.
- Improving access to explanations and training.
- Creating new roles involving AI integration, evaluation, governance, and oversight.
These benefits are possibilities, not guarantees.
Successful outcomes depend on appropriate system design, worker training, organizational practices, and responsible implementation.
7. What Challenges Should We Recognize?
AI adoption also introduces important challenges.
Job Disruption: Some roles and activities may decline or change.
Skills Gaps: Workers may need access to new training opportunities.
Incorrect Outputs: AI-generated information may contain mistakes.
Privacy: Workplace information must be handled appropriately.
Fairness: AI-assisted employment decisions require care to avoid unjustified outcomes.
These challenges reinforce the importance of human involvement and responsible AI adoption.
8. How Can Workers Prepare?
A practical first step is to examine the tasks that make up your work.
For each task, consider whether AI could automate it, assist with it, or whether direct human responsibility remains essential.
A Simple Workplace Experiment
Choose one routine, low-risk work activity.
Try using AI to prepare a first draft or organize relevant information.
Review the result for accuracy, usefulness, and appropriateness.
Ask whether AI genuinely improved the task or merely produced additional work.
This approach helps people understand AI's practical value while recognizing its limitations.
Key Takeaway
AI is changing work through automation and augmentation.
Some tasks may be automated. Other activities may benefit from human–AI collaboration.
The future of work depends not only on what AI can do, but also on how people and organizations use it.
Think About It
Choose a job you know well.
It could be a teacher, marketing professional, engineer, accountant, shopkeeper, or office employee.
Now ask:
- Which tasks could AI automate?
- Which tasks could AI assist with?
- Which decisions require human judgment?
- What new skills might become important?
Select one work activity, identify a suitable AI use, and explain how you would evaluate its results.
What Have You Learned?
After completing Lesson 022, you should be able to:
- Explain how AI is changing workplace activities.
- Distinguish automation from augmentation.
- Recognize the difference between changing tasks and replacing entire jobs.
- Identify useful human skills in AI-enabled workplaces.
- Describe opportunities, challenges, and responsibilities in human–AI collaboration.
CONTINUE LEARNING
Next: Lesson 023
Why Do AI Ethics, Governance, and Human Oversight Matter?
As AI becomes part of learning, work, and decision-making, people and organizations must consider their responsibilities.
In the next lesson, we explore why ethics, governance, accountability, and human oversight matter in responsible AI use.
Module 6 — AI and the Human World
021. How Is AI Changing Learning and Education?
022. How Is AI Changing Jobs and Work?
023. Why Do AI Ethics, Governance, and Human Oversight Matter?
024. What Is AI Fluency, and Why Does Everyone Need It?
Further Learning Resources
International Labour Organization
Your AI Fluency Journey
AI Fluency progresses through four connected phases.
From understanding Artificial Intelligence to using it responsibly to accomplish meaningful goals.
