What McKinsey’s Latest AI Report Means for Australia’s Future

Artificial Intelligence (AI) is no longer a futuristic concept but a powerful force rapidly reshaping industries and economies worldwide. Its transformative potential is increasingly evident in the Australian business landscape, presenting both significant opportunities and potential challenges. To navigate this evolving environment effectively, Australian businesses must understand the prevailing global trends that are shaping the development and deployment of AI.

McKinsey’s latest global survey on AI provides crucial insights into these trends, offering a valuable lens through which to analyse the implications for the Australian market. This article summarises the key findings of this report and examines their relevance to Australia, drawing upon existing analysis from Oryx Consulting to provide a unique perspective. The accelerating pace of AI innovation and adoption underscores the urgency for Australian organisations to proactively understand and strategically respond to these global shifts to maintain competitiveness and unlock the full potential of this transformative technology.

Key Global Trend 1: Increasing AI Adoption Across Business Functions

The survey reveals a substantial increase in the number of organisations embracing AI, with 78% reporting its use in at least one business function. This represents a significant rise from 72% in early 2024 and 55% in the preceding year. Furthermore, the study indicates that the average number of business functions leveraging AI is expanding, signifying a move towards a broader integration of the technology across various operational areas. Currently, the IT and marketing & sales functions are the most common areas for AI application, followed by service operations. This widespread adoption globally suggests a transition from initial experimentation with AI to its practical implementation in core business processes. The consistent year-over-year growth in adoption rates indicates a maturing understanding and increasing confidence in AI’s capabilities. The concentration of AI usage in IT, marketing, and sales likely reflects the early successes and readily measurable returns on investment achieved in these domains through applications such as chatbots for customer service and AI-powered tools for targeted advertising and data analytics.

Key Global Trend 2: Organisational Changes to Capture Value from Generative AI

The report highlights that organisations, particularly those with annual revenues exceeding $500 million, are initiating organisational changes aimed at maximising the future value derived from generative AI. These changes include redesigning existing workflows to incorporate generative AI capabilities and assigning senior leadership roles to oversee AI governance. Notably, the survey found a strong correlation between CEO oversight of AI governance and a higher self-reported bottom-line impact from generative AI use, especially within these larger companies. While 28% of respondents from organisations using AI report CEO oversight, this figure is smaller in the very largest organisations. The study also points to a trend towards centralising certain aspects of AI deployment, with risk and compliance, along with data governance, often being fully centralised. In contrast, the management of tech talent and the adoption of AI solutions tend to follow a hybrid or partially centralised model. The redesign of workflows has been identified as the factor with the most significant effect on earnings before interest and taxes (EBIT) attributable to generative AI. Approximately 21% of respondents whose organisations use generative AI report having fundamentally redesigned some of their workflows. This global trend underscores the increasing strategic importance of AI, demanding attention from the highest levels of leadership and necessitating structural adjustments within organisations to fully realise its potential benefits. The link between CEO oversight and financial impact suggests that AI is no longer perceived merely as an IT project but as a critical component of overall business strategy.

Key Global Trend 3: Growing Focus on Risk Mitigation

McKinsey’s latest analysis indicates a growing awareness and proactive management of risks associated with generative AI. Respondents are now more likely than in early 2024 to report that their organisations are actively working to mitigate risks related to inaccuracy, cybersecurity, and intellectual property infringement. These three risks are also identified as the most common to have caused negative consequences for organisations, with 47% of respondents reporting that their organisations have experienced at least one such consequence. Furthermore, the survey reveals that larger companies are more engaged in mitigating these risks compared to their smaller counterparts, particularly in the critical areas of cybersecurity and privacy. This global trend signifies a maturing understanding of the potential downsides of AI deployment, especially concerning the reliability of AI outputs and the security of sensitive data. The increased focus on these specific risks suggests that organisations are learning from experience and are prioritising the management of the most commonly encountered negative impacts of AI. The difference in risk mitigation efforts between large and small companies may be attributed to the greater resources and more established risk management frameworks typically found in larger enterprises.

Key Global Trend 4: Early Stages of Adoption and Scaling Best Practices

The report suggests that while AI adoption is increasing rapid, most organisations are still in the initial phases of developing and implementing best practices for the effective adoption and scaling of generative AI. The study identifies the tracking of well-defined, key performance indicators (KPIs) for generative AI solutions as having the most significant impact on the bottom line. Additionally, establishing a clear roadmap for AI implementation is considered crucial, particularly for larger organisations. Larger organisations are also more likely to have dedicated teams responsible for AI adoption, well-defined strategic roadmaps, internal communication strategies highlighting the value of AI, role-based training programs, and comprehensive approaches aimed at fostering trust in AI technologies. This global observation implies that while many organisations are experimenting with and implementing AI, the ability to scale these initiatives for significant enterprise-wide value remains a challenge for many. The emphasis on KPIs and strategic roadmaps underscores the importance of a goal-oriented and structured approach to AI implementation, moving beyond ad-hoc adoption. The advantages observed in larger organisations likely stem from their greater capacity for strategic planning and resource allocation dedicated to AI initiatives.

Key Global Trend 5: Evolving Skills and Workforce Impact

The survey data indicates a continued demand for AI-related talent within organisations globally, with hiring ongoing for roles such as data engineers, machine learning engineers, and AI data scientists. Notably, new risk-related roles, including AI compliance and ethics specialists, are also emerging. However, the rate of hiring for AI-related software engineers has decreased compared to previous surveys. Furthermore, many organisations have already implemented re-skilling programs for portions of their workforce in response to AI deployment, and a significant number anticipate further re-skilling efforts in the future. Almost 40% of respondents expect more than one-fifth of their organisation’s employees to be re-skilled within the next three years. The report also sheds light on how the time saved through the use of generative AI is being utilised. In many cases, this saved time is being redirected towards new activities or allowing employees to dedicate more time to their existing responsibilities. However, larger organisations are more likely to report headcount reductions as a direct result of generative AI adoption. Specifically, organisations in the financial services sector show a higher likelihood of anticipating headcount reductions, and service operations and supply chain management are the business functions most likely to experience decreased headcount due to generative AI. This global trend highlights the transformative impact of AI on the skills required in the workforce, necessitating proactive investments in training and adaptation. The emergence of roles focused on AI ethics and compliance reflects a growing societal awareness of the responsible development and deployment of AI.

What does this mean for Australia?

The Australian AI market is demonstrating robust growth and presents significant opportunities for businesses across various sectors. Projections indicate that the market value is expected to reach USD 9.81 billion by 2030, growing at a compound annual growth rate (CAGR) of 18.35% from its 2022 valuation of USD 2.55 billion. Other reports estimates the market size at $2.9 billion in 2024, with a substantial growth rate of 21.9%. This dynamic growth is fuelled by increasing adoption of AI technologies across industries, advancements in machine learning and data analytics, supportive government initiatives, and a strong focus on research and development.

Several key sectors in Australia are experiencing significant AI adoption.

Furthermore, AI is playing an increasingly vital role in cybersecurity in Australia, aiding in threat detection and bolstering overall security measures. It’s projected that AI could potentially prevent $6.7 billion in cybercrime losses by 2030.

The Australian government is actively fostering the growth of the AI sector through various initiatives and strategic plans. The Albanese Government is currently developing a National AI Capability Plan aimed at increasing investment in Australian AI capabilities, strengthening these capabilities, boosting AI-related skills, and securing economic resilience. This plan is expected to be delivered towards the end of 2025. The government has already committed $1 billion under the National Reconstruction Fund for critical technologies, which includes artificial intelligence. Additionally, the Research and Development Tax Incentive supported nearly $500 million worth of projects in AI, computer vision, and machine learning in the 2022-23 financial year. Other government initiatives include the establishment of a network of AI Adopt centres designed to upskill small to medium-sized enterprises (SMEs) and the National AI Centre’s ‘Introduction to Artificial Intelligence’ micro skill course. In terms of regulation, the government has released proposed mandatory guardrails to shape the use of AI in high-risk settings, and the first version of a Voluntary AI Safety Standard. Consultation on these mandatory guardrails concluded in October 2024. Furthermore, the Australian Government has implemented a Policy for the responsible use of AI in government, which took effect in September 2024. This policy includes mandatory requirements for designating accountable officials by November 2024 and publishing transparency statements by February 2025. Australia also has in place AI Ethics Principles to provide guidance for the ethical development and implementation of AI technologies.

The increasing global adoption of AI, as highlighted by McKinsey, is mirrored in the Australian market. Approximately 49% of Australians reported using Generative AI in the last year, showing a significant increase from 38% in 2023. Moreover, 74% of Australian AI users are leveraging the technology for work-related purposes. To maintain a competitive edge in the global landscape and to fully capitalise on the projected economic benefits of AI in Australia, estimated to reach up to $600 billion annually by 2030, Australian businesses should continue to advance their AI adoption strategies.

Drawing on McKinsey’s findings regarding the importance of organisational changes for capturing value from AI, Australian companies should consider adapting their structures to better leverage this technology. This may involve assigning executive-level responsibility for AI initiatives and establishing centralised governance for critical functions such as risk management and data security. Oryx Consulting’s article, “Preparing Your Business for the AI Revolution“, offers valuable insights into how Australian businesses can effectively adapt their structures and strategies to embrace AI. By partnering with specialists and learning from global best practices in AI governance and organisational design, as identified in the McKinsey report, Australian businesses can enhance their return on AI investments and ensure responsible deployment.

The global emphasis on mitigating risks associated with AI is particularly relevant for Australian organisations, especially considering the increasing regulatory scrutiny and the Australian government’s focus on safe and responsible AI practices. The proposed mandatory guardrails for AI in high-risk settings signal a future regulatory environment that will necessitate robust risk management frameworks for businesses deploying AI. This alignment between global risk concerns and local regulatory trends underscores the critical need for Australian businesses to prioritise responsible AI development and deployment to build public trust and ensure compliance.

Many organisations are still in the early stages of developing best practices for scaling AI is also pertinent to Australia. Australian businesses, particularly SMEs, which form a significant part of the national economy, can greatly benefit from focusing on creating clear AI implementation roadmaps, tracking relevant KPIs, and potentially establishing dedicated AI teams or seeking external expertise. The government’s network of AI Adopt centres can play a vital role in assisting SMEs in developing these essential best practices and overcoming common hurdles to AI implementation, such as a lack of awareness and skills gaps.

The global trend of evolving skills requirements driven by AI necessitates that Australian businesses invest in re-skilling and up-skilling their workforce. Concerns about job security among Australian finance workers in the face of increasing AI adoption highlight the importance of clear communication and comprehensive training initiatives. The National AI Capability Plan’s focus on enhancing AI-related skills is therefore crucial for ensuring that Australia has a workforce equipped for an AI-powered future.

Australian businesses have the opportunity to leverage AI in the same key application areas that are driving value globally, including IT, marketing & sales, and product development. Furthermore, Australia’s strong adoption of AI in sectors such as mining and agriculture positions the country as a potential leader in developing innovative AI solutions tailored to these industries. The increasing public enthusiasm in Australia for AI applications in areas like online information retrieval, personal digital assistants, and education also indicates significant potential for growth in these sectors.

Considering the broader international context, Oryx Consulting’s article, “US AI Action Plan and What it Means for Australia”, provides crucial insights into how AI policy developments in the United States, particularly concerning regulation, investment strategies, and international collaborations, could potentially influence the Australian AI landscape. The article “AI Agents in 2025: A Global and Australian Perspective” offers valuable context on the growing significance of AI agents for automating tasks and improving efficiency across various sectors within the Australian market, aligning with McKinsey’s findings on the increasing sophistication of AI capabilities and the trend of workflow redesign.

In conclusion, McKinsey’s latest report on global AI trends reveals several key developments that hold significant implications for the Australian market. These include the increasing adoption of AI across various business functions, the strategic organisational changes being implemented to capture value from generative AI, a growing focus on mitigating the risks associated with AI, the early stages of establishing best practices for scaling AI initiatives, the evolving skills and workforce demands, and the key areas where AI is currently being applied to generate value. For Australian businesses to thrive in this evolving landscape, it is crucial to remain informed about these global trends and to adapt their strategies accordingly, taking into account the specific context of the Australian AI ecosystem, including government initiatives and key growth sectors. The future of AI in Australia holds immense potential for economic growth and innovation, but realising this potential will require a strategic, ethical, and responsible approach to its development and deployment. Oryx Consulting stands ready to assist Australian businesses in navigating this complex and rapidly changing AI landscape, providing the guidance and support needed to succeed in the age of intelligent automation.