What did you learn about your issue from this challenge?
From this challenge, I learned that the conversation about AI and jobs is more complex than just
“AI is taking job”. The sources I reviewed showed that while some tasks are being automated,
other opportunities are being created, often requiring different skills. For example, the Bureau of
Labor Statistics highlights that AI is reshaping job projections rather than simply eliminating
types of jobs in demand could shift, leaving workers unprepared if they don’t reskill. I also
learned that policy discussions, such as those from the Council of Economic Advisers and IMF,
stress the need for support systems to make sure the benefits of AI are widely shared.
What was successful or least successful? Why?
data, think tanks, business reports, and academic-style analysis. This variety gave me a balanced
view instead of leaning only on popular media or technical studies. It was also useful that some
of the sources, like HBR, were very current and provided real-world evidence of AI impacts. The
least successful part was sorting through all the hype and repetition. Many articles online repeat
the same claims about “AI replacing jobs” without offering new insights or data, so narrowing it
down to strong, relevant sources was a challenge.
What might you do differently?
Next time, I would start with a clearer strategy for diversifying the types of resources I find,
especially podcasts, videos, or case studies that put real workers’ voices into the conversation. I
relied heavily on written reports, which were good for credibility but sometimes felt abstract. I’d
also try to keep annotations as I collect sources so I don’t have to re-read everything to remember
why it was useful. This would save me time and make the reflection process smoother.
How will this challenge help you move forward?
This challenge gave me a foundation to build on for future assignments for the most part. With
these key resources, I now have data, policy analysis, and industry perspectives all in one place.
Going forward, I’ll be able to cite reliable information to back up my arguments and avoid
relying on random online claims or potential fake sources. It also helps me see the main debates
of whether AI is mostly a productivity tool that actually works, or whether it creates deeper risks
for job security in the county. Having this roadmap will make it easier to engage critically in later
challenges.
What questions do you have after completing this challenge?
After completing this challenge, I’m left wondering which industries are going to feel the most
immediate effects and whether the disruption will mostly hit lower wage, routine jobs or
higher-paying professional roles. I also question how quickly governments and companies can
adapt with policies like reskilling programs, since many reports stress that timing matters.
Another question is whether the productivity gains AI brings will actually translate into better
wages and working conditions for workers, or if they will mainly benefit companies. Finally, I
wonder what the long-term social impacts will be if adaptation isn’t managed well, such as
increases in inequality or geographic divides in employment opportunities.
Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2022). Artificial intelligence and jobs: Evidence from online vacancies. MIT Shaping Work.
https://shapingwork.mit.edu/wp-content/uploads/2023/10/Paper_Artificial-Intelligence-and-Jobs-Evidence-from-Online-Vacancies.pdf
Acemoglu, D., & Johnson, S. (2023). Power and progress: Our thousand-year struggle over technology and prosperity. PublicAffairs.
Berkeley Roundtable on the International Economy. (2024). Generative AI and the future of work: Augmentation or automation?
https://brie.berkeley.edu/sites/default/files/publications/brie_wp_2024-2.pdf
Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at work (NBER Working Paper No. 31161). National Bureau of Economic Research.
https://www.nber.org/system/files/working_papers/w31161/w31161.pdf
Center for Security and Emerging Technology. (2024). AI and the future of workforce training.
https://cset.georgetown.edu/wp-content/uploads/CSET-AI-and-the-Future-of-Workforce-Training.pdf
Council of Economic Advisers. (2024). Potential labor market impacts of artificial intelligence: An empirical analysis.
https://bidenwhitehouse.archives.gov/wp-content/uploads/2024/07/Potential-Labor-Market-Impacts-of-Artificial-Intelligence-An-Empirical-Analysis-July-2024.pdf
Data & Society. (2024). Generative AI and labor: Power, hype, and value at work.
https://datasociety.net/wp-content/uploads/2024/12/DS_Generative-AI-and-Labor-Primer_Final.pdf
Harvard Business School Digital, Data, & Design Institute. (2025). Displacement or complementarity? The labor market effects of generative AI.
https://www.hbs.edu/ris/Publication%20Files/25-039_05fbec84-1f23-459b-8410-e3cd7ab6c88a.pdf
Institute for Educational Leadership. (2025). Artificial intelligence: Impact on labor markets.
https://www.iedconline.org/clientuploads/EDRP%20Logos/AI_Impact_on_Labor_Markets.pdf
International Labour Organization. (2023). Generative AI and jobs: A global analysis of potential effects on job quantity and quality (Working Paper 96).
https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@dgreports/@inst/documents/publication/wcms_890761.pdf
International Labour Organization. (2025). Generative AI and jobs: A refined global index of occupational exposure (Working Paper 140).
https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure
McKinsey Global Institute. (2024). A new future of work: The race to deploy AI and raise skills.
https://www.mckinsey.de/~/media/mckinsey/locations/europe%20and%20middle%20east/deutschland/news/presse/2024/2024-05-23-mgi-genai-future-of-work/mgi-report_a-new-future-of-work-the-race-to-deploy-ai.pdf
Organisation for Economic Co-operation and Development. (2024). Artificial intelligence and the changing demand for skills in the labour market.
https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/04/artificial-intelligence-and-the-changing-demand-for-skills-in-the-labour-market_861a23ea/88684e36-en.pdf
TIAA Institute. (2025). AI and the future of work: Reshaping the landscape of human work.
https://www.tiaa.org/content/dam/tiaa/institute/pdf/insights-report/2025-10/tiaa-institute-insights-brief-ai-and-the-future-of-work-reshaping-the-landscape-of-human-work-watson-mastry-aug-2025.pdf
World Economic Forum. (2024). Leveraging generative AI for job augmentation and workforce productivity.
https://reports.weforum.org/docs/WEF_Leveraging_Generative_AI_for_Job_Augmentation_and_Workforce_Productivity_2024.pdf
Changemaker Challenge 6
For Challenge Six, I completed the Purchase Challenge on December eighth by buying a new item on Amazon called AI Ethics: A Textbook, which directly relates to my issue of artificial intelligence and responsible technology use. I included a screenshot of my Amazon order confirmation as proof of the purchase. Although the book does not have traditional ethical labels like organic or fair-trade, it still qualifies as a responsible product because its entire purpose is to educate readers about the ethical questions, risks, and responsibilities connected to modern AI systems. Instead of being certified through a physical label, its responsibility comes from its content and the academic standard behind it, since textbooks in this field go through peer review and follow established definitions of fairness, transparency, accountability, and the societal impact of AI. Buying this textbook felt like a meaningful action because it supports learning and thoughtful engagement with a topic that is becoming more important every day. Completing the purchase was simple: I chose the book, made sure it aligned with my topic, placed the order, and saved my confirmation as documentation. My biggest takeaway from this challenge was realizing that responsible consumption can also mean choosing to invest in educational materials that help you better understand a complex issue. I learned that being responsible with technology is not only about how we use devices but also about how we inform ourselves. The most successful part of this challenge was selecting something that will genuinely help broaden my understanding, and the least successful part was that textbooks do not come with official ethical labels, which required me to think more carefully about how responsibility is defined. If I were to do this differently, I might compare more AI ethics resources before purchasing or look for a product that donates a portion of proceeds to digital literacy or AI safety programs. Moving forward, this challenge will help me approach AI with a more informed and ethical mindset, and it encouraged me to take learning about technology more seriously. After completing the challenge, I am still curious about how quickly ethical guidelines can adapt as AI continues to evolve, how educators decide which ethical frameworks to teach, and whether policymakers actually use academic resources like this when creating regulations. Overall, this experience helped me see that choosing to educate myself is one of the most responsible purchases I can make when dealing with a rapidly changing technology like AI.
Changemaker Challenge 5
On December second, I completed Challenge Five by choosing Option D, the Advocacy Challenge. Since my focus is artificial intelligence and its impact on communities, I decided to contact a public official to share my concerns and advocate for stronger AI education and safety guidelines. I completed this challenge from home in Maryland by writing and sending an email to Baltimore City Council President Zeke Cohen. As confirmation of the experience, I included a screenshot of the sent email, which clearly shows the date, time, recipient, and full content of my message. In the email, I explained who I was, why I was concerned about the rapid growth of artificial intelligence, and what kinds of changes might better support students and community members. I advocated for AI literacy programs, more transparency around the use of AI in public agencies, and community guidance that helps people recognize risks like misinformation or deepfake content. Sending the email served as my advocacy action and demonstrated my engagement with the real policy conversation surrounding AI.
Changemaker Challenge 4
For my Changemaker Challenge, I participated in a research survey titled Exploring Student Engagement and Utilization of GenAI Summarization Tools. The survey took place in October 2025 through the College of Information Studies at the University of Maryland, College Park. It was part of a larger research effort focused on understanding how students use generative AI tools like ChatGPT, Grammarly, GitHub Copilot, and Gemini to support their coursework. The survey was anonymous, took about ten minutes to complete, and served as an opportunity to reflect on my own learning habits and engagement with technology. I completed it online and saved a screenshot of my completion page as proof of participation.
Changemaker Challenge 3
For our volunteer challenge, our group decided to participate in an event focused on ethical AI. We hosted a Kahoot quiz about artificial intelligence and followed it with an open discussion about how people use AI, the concerns they have, and what they think the future of AI will look like. The event took place on Thursday, and it was in partnership with Cloud computing club.
Changemaker Challenge 2
For this challenge I interviewed people. This is how it went.
Changemaker Challenge 1
Create Your Own Website With Webador