⚡ Quick Summary
Authored by staff of Deloitte and the International Organisation of Employers (IOE) and dated July 2024, this report assesses how prepared G20 countries are to capture the benefits of AI and manage its risks. The opening chapters frame the debate on AI's economic effects: expected productivity and efficiency gains, a human-centric approach to generative AI, and the downsides of displacement, social inequality and widening income disparities, citing IMF, WEF, OECD, Pew and Deloitte research, including the IMF estimate that almost 40% of jobs are exposed to AI.
The middle chapters compare G20 readiness — the uncertain impact of AI on job structures, private investment, digital infrastructure, qualification mismatch and skills gaps — and present four company case studies: IBM, Globant, Synthesis Software Technologies and BetterPlace. Cited measures include the Cisco Digital Readiness Index, the IMF AI Preparedness Index and Deloitte survey data showing 68% of executives reporting a moderate-to-extreme skills gap.
The final part sets out a blueprint for national AI adoption, profiling strategies in Brazil, Canada, China, France, Germany, Japan, South Africa, South Korea, the United Kingdom and the United States, and concludes that public-private partnership and international collaboration are needed for inclusive AI adoption across the G20.
🧩 What’s Covered
One bullet per major part, following the document's order.
- The AI readiness imperative: states the report's purpose — analysing G20 readiness, the impact of AI on labour markets and economies, disparities between members, and the case for international collaboration and business-led adoption, framed as a national and international imperative.
- Artificial Intelligence and the great debate: the productivity and efficiency case for AI and GenAI, a human-centric view of AI at work, and the downside risks of displacement and disparity, with WEF, OECD, IMF, Pew and MIT evidence and an OECD chart of occupations most and least at risk of automation.
- Social inequalities: evidence that women and other groups have reduced access to AI-related skills, illustrated by a chart of relative AI skill penetration rates by gender across G20 countries.
- Are G20 countries well-positioned to seize AI opportunities?: expected job-creation effects of big data analytics, IoT and AI; fastest-growing and declining roles; private AI investment by country, 2013–23; digital infrastructure and ICT development scores; qualification mismatch; AI skills gaps; and overall digital readiness via the Cisco Digital Readiness Index and the IMF AI Preparedness Index.
- Company case studies: IBM (Watsonx, AI Ethics Board review, advocacy for risk-based governance), Globant (MagnifAI, Augoor, GeneXus; 98.9% of teams with an AI leader), Synthesis Software Technologies (AI code assistants for 300+ developers) and BetterPlace (synthetic data, monitoring pipelines, legal vetting of datasets).
- The blueprint for national AI adoption: elements a strategy should include — clear vision, infrastructure, data management, skilling initiatives, flexible regulation and funding — followed by profiles of Brazil, Canada, China, France, Germany, Japan, South Africa, South Korea, the UK and the US.
- Conclusion: navigating the AI revolution through a collaborative imperative: infrastructure investment, research and development, adaptable policy, reskilling and public-private dialogue, presented as a call to action for G20 leaders.
💡 Why it matters?
For people governing, assessing or auditing AI, the report offers a comparative evidence base rather than rules: readiness indicators, labour-market exposure estimates and skills-gap data that can feed into national or enterprise AI strategies. The country profiles show how G20 governments frame objectives, funding and regulation — from Brazil's EBIA to the UK's three-principle strategy — which helps teams anticipate policy direction in the markets they operate in. The four case studies supply concrete implementation practices: internal AI ethics review, upskilling before deployment, phased rollouts and vetting of data sources.
❓ What’s Missing
The report is a synthesis of secondary research and consultancy surveys; it presents no methodology, no new primary data and no template or checklist an organisation could apply directly. Coverage is selective: roughly ten G20 members are profiled, with no profiles of Italy, the EU, Indonesia, Turkey, Mexico, Argentina, Russia or Saudi Arabia, although several appear in charts. Most cited data points date from 2019–2024, and the extracted text renders chart values as bare numbers, so many figures cannot be tied to their labels. The document makes no reference to the EU AI Act or other named AI statutes.
👥 Best For
Best for policy analysts and government affairs teams comparing national AI strategies, corporate strategy and workforce planners assessing skills and labour-market exposure, and public-policy or sustainability functions looking for reference points and company case studies. It suits orientation and benchmarking rather than compliance design or technical implementation.
📄 Source Details
G20 2024 Readiness Report: AI Powered Transformation, dated July 2024, authored by Dr. Patricia Buckley, Silvano De Marte, Dr. Rumki Majumdar and Akustina Morni, with affiliations to Deloitte and the International Organisation of Employers (IOE); further Deloitte and IOE staff are listed under acknowledgements. 32 pages. The closing notice reads "© 2024. For information, contact Deloitte Global." No reference number or document URL is printed. The extraction covered all 32 pages, though some chart labels and the final page's text were partly lost.
