Strategic competitiveness between the EU and the United States in artificial intelligence development – human capital, legal frameworks and data
Résumé
This article analyzes the level of strategic competitiveness of the European Union and the United States in the development of artificial intelligence based on three key factors determining the development of this technology: the availability of human capital, the regulatory environment, and access to data. The analysis is based on M. Draghi’s Report on the competitiveness of the European economy, which is compared with US federal law and strategic documents of the US administration. The article reviews selected legal acts and public documents regulating the development of AI in both jurisdictions, with particular emphasis on the EU AI Act, the GDPR, and selected US federal laws regarding data management and AI development policy. The analysis found that the EU regulatory model focuses primarily on the protection of fundamental rights and risk management related to the use of AI, while the US approach places a greater emphasis on supporting technological innovation, public-private sector collaboration, and broad access to data. Consequently, a more flexible legal environment in the United States promotes the faster commercialization of AI technologies and strengthens their competitive advantage. The article also presents recommendations for strengthening the EU’s potential in the area of human capital, simplifying regulation, and increasing the availability of data for the development of AI systems.
Mots-clés :
artificial intelligence, Draghi Report, European Union law, federal law, strategic competitivenessRéférences
Legal acts Google Scholar
Advancing American AI Act, Public Law 117-270, 117th Congress, December 19, 2022. Google Scholar
AI in Government Act of 2020, H.R. 2575, 116th Congress, September 14, 2020. Google Scholar
Artificial Intelligence Training for the Acquisition Workforce Act, Public Law 117-207, October 17, 2022. Google Scholar
Children’s Online Privacy Protection Act of 1998, Public Law 105-277, October 21, 1998. Google Scholar
Digital Accountability and Transparency Act of 2014, Public Law 113-101, May 9, 2014. Google Scholar
Executive Order 8807 Establishing the Office of Scientific Research and Development, June 28, 1941. Google Scholar
Executive Order 13859 Maintaining American Leadership in Artificial Intelligence, February 11, 2019. Google Scholar
Executive Order 13960 Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, December 3, 2020. Google Scholar
Executive Order 14110 Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, October 30, 2023. Google Scholar
Executive Order 14179 Removing Barriers to American Leadership in Artificial Intelligence, January 23, 2025. Google Scholar
Executive Order 14192 Unleashing Prosperity Through Deregulation, January 31, 2025. Google Scholar
Fair Credit Reporting Act, Public Law 91-508, October 26, 1970. Google Scholar
Foundations for Evidence-Based Policymaking Act, Public Law 115-435, January 14, 2019. Google Scholar
Identifying Outputs of Generative Adversarial Networks Act (IOGAN Act), Public Law 116-258, December 23, 2020. Google Scholar
Modernizing Government Technology Act of 2017, H.R. 2227, 115th Congress. Google Scholar
National AI Research Resource Task Force Act of 2020, Public Law 116-283, January 1, 2021. Google Scholar
National Artificial Intelligence Initiative Act of 2020, H.R. 6216, 116th Congress, December 3, 2020. Google Scholar
Open, Public, Electronic, and Necessary Government Data Act, Public Law 114-396, December 11, 2016. Google Scholar
Privacy Act of 1974, Public Law 93-579, December 31, 1974. Google Scholar
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) (WE) No. 300/2008, (UE) No. 167/2013, (UE) No. 168/2013, (UE) 2018/858, (UE) 2018/1139 and (UE) 2019/2144 and directives 2014/90/UE, (UE) 2016/797 and (UE) 2020/1828 (Dz.U. UE L 2024/1689, 12.7.2024). Google Scholar
Reports and documents Google Scholar
AI Continent Action Plan, Communication from the Commission to the European Parliament, The Council, The European Economic and Social Committee And The Committee Of The Regions, Brussels, 9.4.2025, COM(2025) 165 final. Google Scholar
Artificial Intelligence: Council and Parliament agree to simplify and streamline rules, Council of the EU, Press release, 7 May 2026. Google Scholar
Artificial Intelligence Index Report 2024, Stanford University 2024. Google Scholar
Artificial Intelligence Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology, January 2023. Google Scholar
Common European Data Spaces, https://digital-strategy.ec.europa.eu/en/policies/data-spaces. Google Scholar
Communication from the Commission to the European Parliament and the Council, Second Report on the application of the General Data Protection Regulation, COM(2024) 357 final, European Commission, Brussels, 25.7.2024. Google Scholar
Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions Identifying and addressing barriers to the Single Market, SWD(2020) 54 final, COM(2020) 93 final, European Commission, Brussels, 10.3.2020. Google Scholar
Digitization, AI, and the Future of Work: Imperatives for Europe, McKinsey Global Institute, September 2017. Google Scholar
Federal Data Strategy 2020 Action Plan, President’s Management Agenda, 2020. Google Scholar
Implementation of the Modernizing Government Technology Act, Memorandum M-18-12, Executive Office of the President OMB, Washington, February 27, 2018. Google Scholar
LEAM:AI: Large AI Models for Germany – Feasibility Study 2023, 2023. Google Scholar
President’s Management Agenda: Modernizing Government for the 21st Century, 2018. Google Scholar
The Home of the U.S. Government’s Open Data, https://data.gov. Google Scholar
The Promise of Evidence-Based Policymaking. Report of the Commission on Evidence-Based Policymaking, September 2017. Google Scholar
Literature Google Scholar
Bradford A., The Brussels effect, „Northwestern University Law Review” 2015, No. 1. Google Scholar
Brynjolfsson E., McAfee A., The business of artificial intelligence. What it can – and cannot – do for your organization, „Harvard Business Review” 2017, July 18. Google Scholar
Cockburn I., Henderson R., Stern S., The impact of artificial intelligence on innovation, „National Bureau of Economic Research” 2018, March. Google Scholar
Davies P., EU AI Act reaction: tech experts say the world’s first AI law is ‘historic’ but ‘bittersweet’, https://www.euronews.com/next/2024/03/16/eu-ai-act-reaction-techexperts-say-the-worlds-first-ai-law-is-historic-but-bittersweet. Google Scholar
Draghi M., The future of European competitiveness. Part A. A competitiveness strategy for Europe, https://commission.europa.eu/document/download/97e481fd-2dc3-412dbe4c-f152a8232961_en. Google Scholar
Draghi M., The future of European competitiveness. Part B. In-depth analysis and recommendations, https://commission.europa.eu/document/download/ec1409c1-d4b4-4882-8bdd-3519f86bbb92_en. Google Scholar
Faulkner D., Bowman C., Strategie konkurencji, Warsaw 1996. Google Scholar
Floridi L., Cowls J., Beltrametti M., et al., AI4People – an ethical framework for a good ai society: opportunities, risks, principles, and recommendations, „Minds and Machines” 2018, Vol. 28, DOI: 10.1007/s11023-018-9482-5. Google Scholar
Hacker P., A legal framework for AI training data – from first principles to the Artificial Intelligence Act, „Law, Innovation and Technology” 2021, Vol. 13, Issue 2. Google Scholar
Johnson R.H., Periods of peril: the window of vulnerability and other myths, „Foreign Affairs” 1983, Vol. 61, No. 4, DOI: 10.2307/20041562 Google Scholar
Kightlinger M.F., Twilight of the idols? EU internet privacy and the post enlightenment paradigm, „Columbia Journal of European Law”2007, Vol. 14, No. 114. Google Scholar
Kissinger H., Schmidt E., Huttenlocher D., The age of AI: and our human future, London 2022. Google Scholar
Kusche I., Possible harms of artificial intelligence and the EU AI act: fundamental rights and risk, „Journal of Risk Research” 2024, DOI: 10.1080/13669877.2024.2350720. Google Scholar
Lane J., Potok N., Democratizing data: our vision, https://hdsr.mitpress.mit.edu/pub/m1o4oblm/release/1. Google Scholar
Lizak R., Prawne aspekty neuronowego modelu zarządzania danymi w administracji federalnej Stanów Zjednoczonych z wykorzystaniem AI, Warsaw 2024. Google Scholar
Lizak R., Redukcja inflacji prawa z wykorzystaniem AI w Stanach Zjednoczonych na tle raportu Draghiego dla Unii Europejskiej, „Kortowski Przegląd Prawniczy” 2025, No. 4. Google Scholar
Manzuik S., Gold A., Gatford C., Network security assessment, https://lira.epac.to/DOCSTECH/Security/Network%20Security/Network%20Security%20Assessment%20-%20From%20Vulnerability%20to%20Patch.pdf. Google Scholar
Mayer-Schönberger V., Cukier K., Big data: a revolution that will transform how we live, work, and think, Boston 2013. Google Scholar
McFadden W.C., Dual-use technologies and national security, [in:] C.W. Wessner (ed.), International friction and cooperation in high-technology development and trade: papers and proceedings, Washington 1997. Google Scholar
Nowakowski W., Wykorzystanie sztucznej inteligencji przez małe i średnie firmy w Europie, [in:] T. Doligalski, D. Kaszyński (eds.), Sztuczna inteligencja w przedsiębiorstwach i gospodarce (AI SPRING 2024), Warsaw 2025. Google Scholar
Schmidt E. (chair), Final report. National Security Commission on Artificial Intelligence, March 1, 2021. Google Scholar
Wachter S., Mittelstadt B., Floridi L., Why a right to explanation of automated decision-making does not exist in the general data protection regulation, „International Data Privacy Law”2017, Vol. 7, Issue 2. Google Scholar
Zuboff S., The age of surveillance capitalism: the fight for a human future at the new frontier of power, London 2019. Google Scholar
