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AI Readings and Courses
Jump to Three readings ↓ Five free courses ↓
For study participants

Thank you for taking part in our study. Here are readings and free courses on AI and the future of work.

Below you'll find three short briefings from Brookings, Goldman Sachs, and the World Economic Forum on how AI may reshape jobs in the coming decade, followed by five free courses for using AI in everyday work tasks.

Section one - Three readings

On what AI may mean for the future of work.

Short briefings from Brookings, Goldman Sachs, and the World Economic Forum, each pointing to a different skill or stance that may matter most as AI reshapes careers in the coming decade.

01
Brookings Institute

AI may erode the traditional steppingstones to high-wage work. For workers without a four-year degree, iterative problem-solving will become a key differentiator.

Focus on Process expertise - the ability to redesign workflows, not just execute individual tasks within them.
Read the full Brookings report →
02
Goldman Sachs

Roles like judges, construction managers, and educators have the highest potential for AI to increase their value rather than replace them.

Focus on "High-augmentation" roles where AI acts as a co-pilot, lifting your productivity and income potential rather than substituting for your work.
Read the full Goldman Sachs report →
03
World Economic Forum

Interdisciplinary competencies will be the most critical defense against displacement. The most valuable workers bridge technical AI systems and social or business needs.

Focus on Digital literacy paired with "human-centric" skills like empathy and active listening - capabilities that are 30 times less likely to be transformed by AI.
Read the full WEF report (PDF) →
Section two - Five free courses

For actually using AI in everyday work.

All five are from credible institutions - Google, the University of Helsinki, Anthropic, OpenAI, and Microsoft - and every course's core content is available without paying.

01
Google · Coursera

Google AI Essentials - a vendor-neutral introduction to using generative AI for everyday work, with hands-on practice in drafting, brainstorming, summarizing, and prompting.

Practical details Free to audit (full course content); about $49 for an optional Coursera certificate. Roughly 10 hours, self-paced. Best as a generalist starting point.
Start the course on Coursera →
02
University of Helsinki

Elements of AI - the most widely taken AI literacy course in the world. Plain-language and no coding required, built to help anyone reason about what AI can and cannot do.

Practical details Fully free, including the certificate from the University of Helsinki. About 6 weeks at 1-2 hours per week, but you can move faster. Best for conceptual grounding before using tools.
Start Elements of AI →
03
Anthropic Academy

AI Fluency: Framework & Foundations - a structured framework for working with AI tools effectively, ethically, and safely, developed with university faculty.

Practical details Fully free, certificate included. About 5 hours of video lessons plus exercises. Best for building a mental model of how to collaborate with AI on real work.
Take the AI Fluency course →
04
OpenAI

OpenAI Academy - a free library of videos, written guides, and live events organized by who you are: small-business owner, educator, nonprofit worker, government employee, or student.

Practical details Fully free. Modular - pick the track that matches your role rather than working through everything. Best if your workplace already uses ChatGPT.
Browse the OpenAI Academy →
05
Microsoft Learn

Microsoft Copilot learning paths - self-paced modules on using Copilot inside Word, Excel, PowerPoint, Outlook, and Teams to draft documents, analyze data, and summarize meetings.

Practical details Fully free. Bite-sized modules of 15-30 minutes each, so you can fit them around work. Best if your day-to-day runs on Microsoft 365.
Open the Microsoft learning paths →
This page was prepared as part of a research study. If you have questions about the study or your participation, please contact the research team using the address provided in the email.