depth to something that we all know, and which has become very obvious to the general public in recent months: that AI is here to stay, and will be witnessing both unprecedented levels of growth as well as driving the expansion, disruption, modernization and diversifi cation of countless other industries caught in its wake. These kinds of assessment lay the groundwork for the important process of AI industry structurization and commoditization, which will be required to leverage AI’s true potential, de-risk investments, unlock capital, and bridge the gaps between tech industries, ultimately creating a more sustainable and prosperous fi nancial future within the AI industry and beyond.” said Dmitry Kaminskiy, Founder of AI Analytics Agency (AiiA) and General Partner of Deep Knowledge Group. This scope of economic profi ling required the use of novel methods and techniques for data collection, information processing, insight extraction, and analysis, including using advanced AI algorithms, specifi cally designed for this purpose. It also required expanding upon established approaches used by several other providers of AI industry size assessments, such as McKinsey & Company, which recently released their own report titled “The economic potential of generative AI” (June 2023). McKinsey’s report considered
applications of generative AI across 63 use
cases in a variety of industries. According to the report, the additional revenue from generative AI is projected to range from $2.6 trillion to $4.4 trillion. While the fi ndings of the AI Industry Analytics study do not signifi cantly contradict those of the McKinsey report, AiiA’s methodology is distinctly more holistic, deriving directly from their fi rst-ever mapping of the entire global AI industry ecosystem, encompassing not just revenue and turnover but also assessment of estimated total value of global AI assets. AiiA applies an exhaustive approach to data gathering and interpretation, offering a broader evaluation through a wider range of parameters, larger volumes of data, and a more profound level of analysis. This high-grade assessment serves as a robust foundation for strategic decision-making, enhancing the value and utility of the fi ndings.
AiiA’s report is set to become a pivotal source of crucial insights into the current state and future trajectory of the AI industry. With its commitment to providing accurate, in-depth analysis, AiiA will remain at the forefront of AI economy research, enabling industry professionals, investors, business leaders and policy makers to navigate the complex AI landscape with confi dence.
AI Industry Analytics also contributed to the development of the Global AI Ecosystem, a newly-launched,
Technology Focus open-access, decentralized and non-
profi t AI knowledge, analytics and community matching platform featuring open-source libraries, mindmaps, and seamless communication channels. The platform’s AI Knowledge Hub contains searchable libraries of the newest AI tools, APIs, educational courses, media resources, books, conferences and communities. It also offers real- time AI news feeds and community infrastructure where users will be able to create their own accounts, interact with each other, and participate in curated content environments. Designed to cater to all AI ecosystem stakeholders, it serves as an end-to-end solution for harnessing the potential of artifi cial intelligence. While AI Industry Analytics’ Global AI Economy Size Assessment is the fi rst of its kind in scope, it this line of work will be further expanded by subsequent iterations in the coming months, alongside additional and more specialized assessments of the impact of AI on a multitude of industries, sectors, regions and countries. Currently, AiiA’s report provides clear indication that the global AI economy is poised for substantial and dynamic growth in the coming years, and that current AI industry stakeholders are working in an unprecedented period of opportunity in terms of AI impact on the global economy.
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