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Australia’s artificial intelligence ecosystem: The second update

Author

Listed:
  • Hajkowicz, Stefan
  • Bratanova, Alexandra
  • Schleiger, Emma
  • Naughtin, Claire

Abstract

This is the second report about Australia’s AI ecosystem with the first being published last year in 2022 (NAIC, 2022). It has been commissioned by the National Artificial Intelligence Centre (NAIC) and delivered by a research team in CSIRO. Australia’s AI ecosystem is comprised of start-ups, small-to-large-sized companies, universities, research institutes, industry organisations and public sector agencies engaged in developing and applying AI technology. This report aims to provide a snapshot of the current state of Australia’s AI ecosystem and inform future strategy and policy decisions about its growth and development. This report contains information about companies, product innovation, investment, universities, research institutes and specialised capabilities relating to AI in Australia. It also contains information about the perceived challenges and opportunities for future growth and development of AI in Australia. The report aims to inform people in industry, academia, government and community spheres making decisions about AI capability uplift. This report is useful to anyone wanting to understand and develop AI capability in Australia. It could be used by investors looking for opportunities in the Australian marketplace. It could be used by a company wanting to train and recruit AI talent. It could be used by someone starting or developing an AI company. It could be used by universities and research institutes planning for AI capability development. It could be used by Local, State/Territory and Federal government agencies aiming to support the AI industry and job growth. And, it could be used by workers and students planning their AI careers.

Suggested Citation

  • Hajkowicz, Stefan & Bratanova, Alexandra & Schleiger, Emma & Naughtin, Claire, 2023. "Australia’s artificial intelligence ecosystem: The second update," MPRA Paper 121102, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:121102
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    File URL: https://mpra.ub.uni-muenchen.de/121102/1/MPRA_paper_121102.pdf
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    References listed on IDEAS

    as
    1. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    2. Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence activity clusters in Australia," Technology in Society, Elsevier, vol. 71(C).
    3. Andrew Crawley & Malcolm Beynon & Max Munday, 2013. "Making Location Quotients More Relevant as a Policy Aid in Regional Spatial Analysis," Urban Studies, Urban Studies Journal Limited, vol. 50(9), pages 1854-1869, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Artificial intelligence; Australia; ecosystem; business; clusters;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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