Artificial Intelligence – Executive Briefing (Third Edition) – Thematic Intelligence
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Artificial Intelligence (AI) Thematic Report Overview
The AI market is forecast to grow at a CAGR of more than 38% between 2023 and 2030. The recent success of OpenAI’s ChatGPT has influenced most of the tech giants to realign their AI priorities. While some of them have been already working on the underlying technology i.e., generative AI (GenAI), they are now rushing for an edge in the new AI era with a flurry of initiatives.
The competitive landscape is evolving rapidly, with new products or enabling technologies being launched. New entrants are emerging such as xAI and strategic partnerships are established (e.g., Microsoft and Mistral) to gain a competitive edge in this theme. For instance, e.g., OpenAI’s Sora and Nvidia’s Blackwell GPUs are a few of the new products being developed by big tech companies.
The third edition of the 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.
Report Pages | 77 |
Leading Vendors | · Alibaba
· Amazon · Baidu · Meta |
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Latest Developments in AI Chips
Tech giants such as Alphabet, Apple, Amazon, Microsoft, and Meta are designing in-house custom chips. These tech giants relied on chip vendors such as Intel, AMD, Nvidia, and Micron. By designing in-house proprietary chips, Big Tech companies are safeguarding themselves against future disruption and avoiding a singular monopoly on chip vendors.
Big Tech companies are only designing the chips and not manufacturing them since setting up a chip factory or foundry can cost billions and take several years to build and operate efficiently. As such, they now compete for the foundry capacity at the likes of TSMC, UMC, and GlobalFoundries, and the scarce advanced tools from ASML.
Buy the Full Report to Know More About the Latest Developments in AI Chips Market
Artificial Intelligence Governance
Regulations around AI are being developed all over the globe. This includes the EU AI Act and the US Executive Order on AI. Uncertainty is high in certain areas, and we recommend not committing significant resources until there is greater clarity.
The EU’s AI Act introduces some important provisions for providers of ‘General Purpose AI (GPAI) models which may spur changes in the market. GPAI models must present technical documentation and instructions for use unless they are open license models.
Big Tech Based on Their Level of Exposure to 10 Critical Regulatory Arenas
Buy the Full Report for More Insights into Governance into AI Theme
AI Market - Competitive Landscape
Some of the leading AI vendors making their mark in the AI theme include Alibaba, Amazon, Google, Meta, and others.
Google: The company unveiled AI-driven enhancements to Search at Google I/O. it has also integrated LLM’s with Google Cloud through Vertex AI, a platform for creating custom AI tools. Google also launched the AI-powered chatbot Gemini.
AI Market – Competitive Landscape
To Know More about Companies Focusing on the AI Theme
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.
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 more than £115B by 2030, according to GlobalData forecasts.
- Due to its importance for future industrial competitiveness, AI is fueling geopolitical tensions and disrupting supply chains, especially concerning 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.
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 can 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
Frequently asked questions
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Why are big tech companies developing in-house AI chips?
By designing in-house proprietary chips, Big Tech companies are safeguarding themselves against future disruption and avoiding a singular monopoly on chip vendors.
-
Which are the new regulations developed around AI?
Regulations around AI are being developed all over the globe including the EU AI Act and the US Executive Order on AI.
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Which are the leading vendors making their mark in the AI theme?
Some of the leading vendors making their mark in the AI theme include Alibaba, Amazon, Baidu, Google, Meta, and others.
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