Dinis Guarda and Businessabc Launch Global AI Regulations Atlas Mapping Laws Across 109 Jurisdictions

As artificial intelligence transforms fashion design, virtual modelling, personalised shopping, and global supply chains, a new interactive AI Global Regulations Atlas and 5,000-word white paper map approximately 1,170 AI regulatory instruments worldwide, highlighting the changing governance landscape for fashion and retail businesses.

Artificial intelligence is becoming an increasingly influential technology across the global fashion industry, transforming how brands design collections, forecast demand, manage supply chains, develop marketing campaigns, and engage with consumers.

Generative AI is enabling new approaches to digital fashion imagery, product visualisation, and creative production, while AI-powered recommendation engines and predictive analytics are influencing retail operations and customer experiences.

These developments also raise questions concerning intellectual property, data privacy, transparency, consumer protection, and the accountability of AI-generated content.

Against this background, Dinis Guarda, founder and CEO of Ztudium Group and Businessabc.net, has launched the AI Global Regulations Atlas, an interactive regulatory intelligence platform mapping AI governance across 109 countries and jurisdictions.

The Atlas consolidates approximately 1,170 regulatory instruments and is accompanied by a 5,000-word technical white paper examining international AI legislation, governance models, enforcement mechanisms, and regulatory readiness.

Although the resource covers AI regulation across industries, its findings are relevant to fashion brands, retailers, designers, technology providers, and companies operating across international consumer markets.

AI Is Changing Fashion, but Regulation Is Developing Unevenly

AI technologies are increasingly used throughout the fashion value chain.

Design teams are experimenting with generative AI to develop concepts and visual references. Retailers are applying machine learning to product recommendations, inventory planning, and customer analytics.

Brands are also using AI-generated imagery, virtual models, automated customer service, and digital marketing tools.

As these technologies become more widespread, companies must consider the legal implications of the systems they develop, procure, and deploy.

For example, AI-generated advertising can raise questions about transparency and consumer expectations, while personalised retail systems may involve obligations relating to personal data and automated profiling.

AI-assisted design may also intersect with intellectual property and licensing requirements.

The applicable rules differ by jurisdiction and cannot be determined solely by the fact that a system uses artificial intelligence.

The Global AI Governance Gap

The AI Global Regulations Atlas incorporates findings from the Global Index on Responsible AI 2026, which assesses 135 countries across 38 indicators.

The research reports a global average responsible AI governance score of approximately 35 out of 100.

Europe averages 54, compared with 27 for the Global South.

Only 55% of active AI governance frameworks demonstrate evidence of implementation.

The findings also show that 78% of Global South AI frameworks are non-binding, compared with 42% in the Global North.

Only 54% of countries have national AI policies, and 18% require disclosure of government AI systems.

For global fashion companies, these differences illustrate the challenges of deploying AI technologies across markets with varying levels of regulatory maturity.

Understanding the Six Global AI Regulatory Models

The Atlas classifies 109 jurisdictions into six regulatory categories.

These include 32 jurisdictions under binding horizontal law, four under targeted binding measures, two under promotion laws, six sector-led, 11 with draft legislation, and 54 primarily governed through strategies and guidelines.

The research examines the European Union's horizontal risk-based AI Act, the United Kingdom's sector-led approach, and China's targeted measures.

South Korea's AI Basic Act entered into force on 22 January 2026, while Vietnam's Law on AI became effective on 1 March 2026. Italy introduced Law 132/2025 alongside the EU framework.

The European Union's Digital Omnibus, Regulation (EU) 2026/1744, has revised the timetable for major high-risk AI obligations.

Requirements for Annex III systems will apply from 2 December 2027, while those for Annex I product-related systems will apply from 2 August 2028.

For fashion technology companies and global retailers, these developments reinforce the importance of understanding how different AI applications may be treated under local legislation.

"AI regulation has moved from principles to obligations in less than a decade, but it has not converged and remains fragmented and disconnected," said Dinis Guarda, founder and CEO of Ztudium and Businessabc.net.

He also highlighted the complexity of operating AI systems across different markets:

"A company deploying AI across borders must look at the best regulatory infrastructure and now faces risk tiers in Brussels, compute thresholds in California, use-case rules in Colorado, and targeted measures in Beijing."

What Is Inside the AI Global Regulations Atlas?

The interactive Atlas includes a colour-coded world map of 109 jurisdictions, allowing users to explore regulatory models, legal status, and maturity scores from 1 to 5.

Each jurisdiction has a profile referencing its flagship regulatory instrument and source.

The platform also offers charts categorising regulations by instrument type, status, year, and jurisdiction; a timeline covering milestones and upcoming deadlines from 2019 to 2028; and comparative rankings of AI readiness and responsible governance.

Additional features include comparisons of maximum penalties, a searchable and sortable jurisdiction directory with source-confidence assessments, and an exposure checker identifying potentially relevant regulatory instruments by market and AI use case.

The Atlas integrates research from the Global Index on Responsible AI, IMF AI Preparedness Index, Stanford HAI AI Index 2026, regulations.ai, CASRAI, and primary legislative records.

The accompanying 5,000-word white paper examines international regulatory models, enforcement mechanisms, major jurisdiction profiles, global coordination initiatives, and seven practical compliance steps.

These include ISO/IEC 42001 as a common AI management framework.

The Broader Economic Context of AI Regulation

The IMF AI Preparedness Index covers 174 economies, with Singapore scoring 0.80, Denmark 0.78, and the United States 0.77. China scores 0.63 and India 0.49.

Meanwhile, the Stanford HAI AI Index 2026 reports approximately $285.9 billion in US AI investment during 2025, compared with $20.9 billion in Europe and $12.4 billion in China.

The report also documents 362 AI incidents.

These figures reflect the broader expansion of AI investment and the importance of governance as adoption increases.

For fashion businesses, the challenge is to use AI to support creativity, efficiency, and customer experience while addressing questions of transparency, intellectual property, consumer rights, and responsible technology deployment.