This executive briefing helps you understand the impact of artificial intelligence on your business. It focuses on generative AI and the threats and opportunities it poses to every business across every sector.
Key Highlights
Key Highlights
- The AI competitive landscape is evolving rapidly, with new products or enabling technologies (e.g., OpenAI's Sora, Nvidia's Blackwell GPUs) being launched, new entrants emerging (e.g., xAI), and partnerships (e.g., Microsoft and Mistral) established.
- With demand for AI chips rising simultaneously from a multitude of industries, the AI chips market alone will be worth £116B by 2030, according to the publisher forecasts.
- Due to its importance for future industrial competitiveness, AI is fueling geopolitical tensions and disrupting supply chains, especially with respect to semiconductors and critical minerals.
- In the absence of formal regulatory regimes governing the development of AI, this report includes a preview of our AI governance framework, which will be published in full in May 2024.
- AI is becoming a sustainability conundrum: it helps achieve sustainable goals but consumes a lot of energy and natural resources such as water.
- LLM training by companies to implement real life use cases is gaining focus due to its technical complexity and financial costs, with the retrieval augmented generation (RAG) technique emerging as a popular choice.
Scope
This report provides an overview of generative AI, placing it in the context of the broader AI theme. It also provides market forecasts and analysis of data signals, including polls, patent filings, venture financing, social media mentions, and hiring.Reasons to Buy
- Generative AI is likely to pose a threat to every business across every sector in the coming years.
- The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice.
- This new edition of our AI Executive Briefing focuses on the latest developments in the AI vendor landscape, AI chips, geopolitical tensions, AI governance, sustainability, and large language model (LLM) training trends.
Table of Contents
- Executive Summary
- Competitive Landscape Developments
- AI Chips Developments
- Geopolitical Impact on AI Supply Chains
- AI Governance
- Sustainability Considerations
- LLM Training Trends
- Appendix 1: Glossary
- Appendix 2: Our Framework for Looking at AI
- Appendix 3: Further Reading
- Appendix 4: About the Publisher Thematic Intelligence
- Appendix 5: Contact the Publisher
