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Technology, Data & the Future of Work Assessment Guidance 2025-26

Published: 11 Nov, 2025
Category Assignment Subject Computer Science
University ___ Module Title Technology, Data & the Future of Work
Word Count 3,000 word
Assessment Title written report

Technology, Data & the Future of Work

ASSESSMENT VIDEO GUIDANCE

Task – 3,000 word written report

Based on the OECD data available at the link provided you should: OECD data

Produce a written report within Word document that addresses the 4 points on the brief.

Total Marks =100

Locating the data

OECD.AI

Organisation for Economic Co-operation and Development, is an international organization of 38 member countries that works to build stronger, fairer, and more sustainable societies by promoting better policies.

38 countries span the world, from North America and South America to Europe and Asia-Pacific

Technology, Data & the Future of Work

Brazil, China, India, Indonesia, and South Africa are NOT members, but are OECD Key Partners

Point 1 on brief (30 marks)

Provide a summary of what is happening in relation to:

  • Career transitions into AI occupations (2019 -2024)
  • Talent Concentration

Within 4 countries of your choice.

Note: You will find this data under AI Jobs and Skills.

Include some screen shots/charts in relation to point 1.

Be selective about what goes in your main report, and what you might add in an Appendix.

AI Jobs & Skills Tab

Technology, Data & the Future of Work AI Jobs & Skills Tab

Point 2 (20 marks)

Evaluate the robustness of this data for country level and sector/organisational level decision making.

Consider

  • What does robust data look like? (is this a credible source?) How easy is it to obtain data?
  • What potential flaws/biases might there be?

Point 3 (30 marks)

Critically evaluate the drivers of such career transitions, and what role HR can play in relation to the potential impact of these changes on individual working lives across different generations.

Consider

So, in point 1, you looked at data related to transition in AI careers.

What is driving those transitions in the 4 different countries? (can look for academic articles based in other countries too, as a guide).

What does that people for different age groups/generations – skills, jobs, training, life changes. HR role.

Point 4 (20 marks)

Discuss the way in which AI is impacting on hybrid working of different kinds (working from home/anywhere; Human-AI teams).

Consider

What different types of hybrid working exist?

How AI may be facilitating, enhancing or denigrating such work?

Structure of Report:

Technology, Data & the Future of Work (TDFW) Structure of Report

Raise questions in taught sessions

Technology, Data & the Future of Work: Raise questions in taught sessions

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