Sources & References

Primary legal texts, papers, books, reports and initiatives referenced in this analysis. Versions as of 17 March 2026.

EU-Wide Regulation

RegulationReferenceStatusSource
EU AI Act Regulation (EU) 2024/1689 In force (phased: Aug 2025–Aug 2027) eur-lex.europa.eu
Platform Work Directive Directive (EU) 2024/2831 Transposition by 2 Dec 2026 eur-lex.europa.eu
Pay Transparency Directive Directive (EU) 2023/970 Transposition by 7 Jun 2026 eur-lex.europa.eu
EU Data Act Regulation (EU) 2023/2854 In force eur-lex.europa.eu
GDPR Regulation (EU) 2016/679 In force eur-lex.europa.eu (Art 22, 35, 88)
Quality Jobs Act Proposed Expected Q4 2026 europarl.europa.eu

Germany

LawFull NameStatusKey ProvisionsSource
BetrVG Betriebsverfassungsgesetz In force §87(1) Nr. 6, §90, §111 gesetze-im-internet.de

Austria

LawFull NameStatusSource
ArbVG Arbeitsverfassungsgesetz In force ris.bka.gv.at
ArbVG §96 ris.bka.gv.at §96
ArbVG §96a ris.bka.gv.at §96a

Switzerland

LawFull NameStatusSource
FADP/DSG Federal Data Protection Act In force since 1 Sep 2023 fedlex.admin.ch
OR Art 328/328b Code of Obligations In force fedlex.admin.ch
ArGV3 Art 26 Employment Ordinance 3 In force fedlex.admin.ch
Mitwirkungsgesetz Employee Participation Act (SR 822.14) In force fedlex.admin.ch

United Kingdom

LawFull NameStatusSource
Employment Rights Act 1996 Unfair dismissal provisions (algorithmic dismissal challengeable) In force legislation.gov.uk
Equality Act 2010 Discrimination provisions apply to AI-assisted decisions in hiring, promotion, pay In force legislation.gov.uk
Data Protection Act 2018 UK GDPR Art 22 equivalent on automated decision-making In force legislation.gov.uk
ICE Regulations 2004 Information and consultation rights for undertakings with 50+ employees In force legislation.gov.uk
DSIT AI Framework Pro-innovation approach to AI regulation (policy framework, not legislation) Policy (2023) gov.uk

References

TitleAuthor / InstitutionYearSource
The Future of European Competitiveness Mario Draghi / European Commission 2024 commission.europa.eu
The Changing World Order Ray Dalio 2021 economicprinciples.org
Principles for Dealing with the Big Debt Crises Ray Dalio 2018 economicprinciples.org
Paradigm Shifts Ray Dalio 2019 economicprinciples.org
Why and How Capitalism Needs To Be Reformed Ray Dalio 2019 economicprinciples.org
Primer on Universal Basic Income Ray Dalio / Bridgewater 2018 economicprinciples.org
The Entrepreneurial State: Debunking Public vs. Private Sector Myths Mariana Mazzucato 2013 marianamazzucato.com
The Value of Everything: Making and Taking in the Global Economy Mariana Mazzucato 2018 marianamazzucato.com
Mission Economy: A Moonshot Guide to Changing Capitalism Mariana Mazzucato 2021 marianamazzucato.com
EU-Inc: An Industry Blueprint for the Upcoming 28th Regime EU-Inc Initiative 2024 eu-inc.org
Cedefop Skills Forecast 2025 European Centre for the Development of Vocational Training (Cedefop), Thessaloniki: Greece 2025 cedefop.europa.eu
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations Kunal Handa, Alex Tamkin, Miles McCain, Saffron Huang, Esin Durmus, Sarah Heck, Jared Mueller, Jerry Hong, Stuart Ritchie, Tim Belonax, Kevin K. Troy, Dario Amodei, Jared Kaplan, Jack Clark, Deep Ganguli 2025 anthropic.com · Dataset (HuggingFace) · CC-BY (data), MIT (code) · Used for: Observed AI adoption rates per SOC occupation group (Claude usage data)
Labor Market Impacts of AI: A New Measure and Early Evidence Maxim Massenkoff, Peter McCrory 2026 anthropic.com · CC-BY · Used for: Theoretical vs observed AI coverage per occupation, unemployment analysis
Working with AI: Measuring the Applicability of Generative AI to Occupations Kiran Tomlinson, Sonia Jaffe, Will Wang, Scott Counts, Siddharth Suri 2025 microsoft.com · Dataset (GitHub) · Open · Used for: AI applicability scores per SOC occupation (Bing Copilot usage data)
GPTs are GPTs: Labor Market Impact Potential of LLMs Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock 2023 (arXiv; published in Science, June 2024) openai.com · Published research · Used for: Theoretical AI exposure ceiling per occupation (E1+E2 scores)

Methodology

MetricDescription
AI Augmentation Potential Additive composite score (0.5 × Technical Exposure + 0.3 × Employment Growth + 0.2 × Education Level), z-score normalized within country. Weights chosen to emphasize exposure as primary signal.
All legal text versions retrieved and verified as of 17 March 2026. This analysis is for informational purposes only and does not constitute legal advice. Consult qualified legal counsel for compliance decisions.

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