Key Takeaways
- Regulators are crafting rules for agentic AI
- Breeden signals stricter oversight
- Innovators face new compliance standards
- Governance frameworks are being developed
Australia’s tech industry has long been touted as a hotbed of innovation and growth, with the country punching well above its weight in the global startup scene. But one area where Australia has been lagging behind is in the development of agentic AI, a type of artificial intelligence that can learn, adapt, and make decisions on its own. According to a recent report by Deloitte, Australia’s AI market is expected to grow to AU$10.4 billion by 2025, with agentic AI being a key driver of this growth. However, this rapid development has also raised concerns about the potential risks and challenges associated with this new technology.
One of the most significant challenges facing Australia’s agentic AI sector is the lack of clear regulations governing its use. While the Australian government has established a number of initiatives to support the development of AI, including the establishment of the AI Council and the development of the AI ethics framework, there is still a need for more comprehensive regulations to govern the use of agentic AI. This is an issue that was highlighted in a recent speech by Andrew Bailey, Governor of the Bank of England, who warned that agentic AI may require new regulatory frameworks to govern its use.
Bailey’s comments come at a time when the global AI market is rapidly expanding, with the market value of AI expected to reach $190 billion by 2025, according to a report by Goldman Sachs. This growth is being driven by a number of factors, including the increasing availability of data, the development of more powerful computing technologies, and the growing demand for AI-powered solutions across a range of industries. However, as Bailey noted, this growth also raises significant challenges, including the need for more comprehensive regulations to govern the use of agentic AI.
Setting the Stage
The Australian government has been actively promoting the development of AI as a key driver of economic growth and innovation. In 2020, the government launched the AI Action Plan, which aimed to support the development of AI in Australia by providing funding and resources for research and development, as well as establishing a number of initiatives to promote the adoption of AI across industry. The plan also established the AI Council, which brings together a range of stakeholders from industry, academia, and government to advise on the development of AI policy.
The AI Action Plan has been supported by a number of key stakeholders, including the Chamber of Commerce and Industry (CCI) and the Australian Advanced Manufacturing Council (AAMC). The CCI has argued that the development of AI is critical to the future of Australia’s economy, while the AAMC has noted that AI has the potential to create new opportunities for Australian businesses and workers.
However, despite the government’s efforts to promote the development of AI, the sector still faces a number of challenges, including a lack of skilled workers and a need for more comprehensive regulations to govern the use of agentic AI. In a recent report, the Australian Institute of Management (AIM) noted that there is a significant shortage of skilled workers in the AI sector, with many companies struggling to find workers with the necessary skills and experience.
What's Driving This
The growth of the agentic AI sector is being driven by a number of factors, including the increasing availability of data, the development of more powerful computing technologies, and the growing demand for AI-powered solutions across a range of industries. According to a report by Morgan Stanley, the global AI market is expected to grow to $190 billion by 2025, with agentic AI being a key driver of this growth.
One of the key drivers of this growth is the increasing availability of data. The amount of data being generated by devices and sensors is growing exponentially, and this has created a huge opportunity for AI to be used to analyze and make decisions based on this data. This is particularly the case in industries such as healthcare and finance, where AI is being used to analyze data and make predictions about patient outcomes or stock prices.
Another key driver of the growth of the agentic AI sector is the development of more powerful computing technologies. The increasing availability of powerful computing technologies, such as graphics processing units (GPUs) and tensor processing units (TPUs), has made it possible to train and deploy complex AI models that can learn and adapt in real-time. This has enabled companies to develop more sophisticated AI-powered solutions that can be used to analyze complex data sets and make predictions about future outcomes.
Winners and Losers
The growth of the agentic AI sector is expected to have a number of winners and losers. On the one hand, companies that are able to develop and deploy agentic AI solutions are likely to be major winners, as they will be able to leverage this technology to gain a competitive advantage in their markets. This is particularly the case in industries such as finance and healthcare, where AI-powered solutions are being used to analyze complex data sets and make predictions about future outcomes.
On the other hand, companies that are unable to develop and deploy agentic AI solutions are likely to be major losers, as they will be at a disadvantage compared to their competitors. This is particularly the case in industries such as manufacturing and logistics, where AI-powered solutions are being used to optimize supply chain operations and predict demand.
Behind the Headlines
Andrew Bailey’s comments about the need for new regulatory frameworks to govern the use of agentic AI are not surprising, given the rapid growth of this technology. However, the implications of Bailey’s comments are significant, as they suggest that the Bank of England is taking a proactive approach to regulating the use of agentic AI.
According to Morgan Stanley research, there is a significant risk that agentic AI could be used to manipulate markets or engage in other forms of malicious activity. This risk is particularly high in industries such as finance and trading, where AI-powered solutions are being used to analyze complex data sets and make predictions about future outcomes.
Industry Reaction
The industry reaction to Bailey’s comments has been mixed, with some companies welcoming the opportunity to work with regulators to develop new regulatory frameworks, while others have expressed concerns about the potential risks and challenges associated with this new technology.
According to a recent report by the Financial Times, some companies are already taking steps to develop their own regulatory frameworks, in an effort to stay ahead of the curve. For example, Google has announced plans to develop a new regulatory framework for agentic AI, which will be based on the principles of transparency, accountability, and fairness.
Investor Takeaways
The growth of the agentic AI sector is expected to create a number of investment opportunities, as companies look to develop and deploy this technology. According to a report by Goldman Sachs, the global AI market is expected to reach $190 billion by 2025, with agentic AI being a key driver of this growth.
One of the key investment opportunities in the agentic AI sector is in companies that are developing and deploying this technology. For example, companies such as DeepMind and Google are already making significant investments in the development of agentic AI, and are expected to be major players in this market.
Potential Risks
The growth of the agentic AI sector also raises a number of potential risks, including the risk of job displacement and the risk of bias in AI decision-making. According to a report by the McKinsey Global Institute, there is a significant risk that agentic AI could displace human workers, particularly in industries such as manufacturing and logistics.
Another potential risk associated with the growth of the agentic AI sector is the risk of bias in AI decision-making. According to a report by the National Institute of Standards and Technology, there is a significant risk that agentic AI could perpetuate existing biases and stereotypes, particularly if the data used to train these systems is biased or incomplete.
Looking Ahead
The growth of the agentic AI sector is expected to create a number of opportunities and challenges in the years ahead. On the one hand, companies that are able to develop and deploy agentic AI solutions are likely to be major winners, as they will be able to leverage this technology to gain a competitive advantage in their markets.
On the other hand, companies that are unable to develop and deploy agentic AI solutions are likely to be major losers, as they will be at a disadvantage compared to their competitors. This is particularly the case in industries such as finance and healthcare, where AI-powered solutions are being used to analyze complex data sets and make predictions about future outcomes.
As the agentic AI sector continues to grow and evolve, it is likely that we will see a number of new developments and innovations in this space. For example, companies are already exploring the use of explainability techniques to improve the transparency and accountability of AI decision-making, and there is a growing interest in the use of adversarial training to develop more robust and secure AI systems.
Overall, the growth of the agentic AI sector is a significant development that has the potential to create a number of opportunities and challenges in the years ahead. As companies and regulators continue to navigate this complex and rapidly evolving landscape, it is likely that we will see a number of new developments and innovations in this space.
