Sources & Further Reading
iSources checked: September 2026
The content of this module was researched in May 2026; all source links were checked for availability in September 2026 and updated where needed. As the AI landscape evolves rapidly, some details may have changed since then.
Sources
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McKinsey Global Institute (2023). The Economic Potential of Generative AI. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
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Microsoft & LinkedIn (2024). 2024 Work Trend Index Annual Report. https://www.microsoft.com/en-us/worklab/work-trend-index/
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Harvard Business School (2023). Navigating the Jagged Technological Frontier. https://www.hbs.edu/ris/Publication%20Files/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7571.pdf
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European Union -- General Data Protection Regulation (GDPR). https://eur-lex.europa.eu/eli/reg/2016/679/oj
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Notion AI Documentation. https://www.notion.com/product/ai
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Microsoft Copilot for Microsoft 365. https://www.microsoft.com/en-us/microsoft-copilot
Further Reading
Productivity with AI
- Ethan Mollick -- Co-Intelligence (2024): Practical guide for using AI in daily work by a Wharton professor. https://www.oneusefulthing.org/
- Microsoft WorkLab: Research and insights on the future of work with AI. https://www.microsoft.com/en-us/worklab/
Meeting Productivity
- Otter.ai: AI-powered meeting transcription and summarization. https://otter.ai/
- Granola: AI meeting notes with a focus on privacy. https://www.granola.ai/
Data Privacy
- Federal Commissioner for Data Protection (BfDI): Information on GDPR-compliant use of AI systems. https://www.bfdi.bund.de/