AI or Irrelevance

Authors:
Published:
Keywords: BCG, AI transformation, Future-built organisations, Agentic AI, Australian business strategy, Digital disruption, Artificial intelligence adoption, Workforce upskilling, AI operating model, Data-driven innovation, AI governance
Year: 2025

Abstract

A global BCG study exposes a widening AI value gap, with only 5% of firms realising transformative returns. For Australia, lagging adoption threatens economic competitiveness. This paper outlines the five pillars of AI success, case studies of local leaders, and urgent steps Australian enterprises must take to survive.

Incremental Digital Transformation Is Over

Incremental Digital Transformation Is Over

A stark new reality has emerged from Boston Consulting Group's comprehensive study of 1,250 global firms: artificial intelligence is creating an unprecedented value chasm that threatens to reshape entire industries, and Australian businesses are running out of time to secure their position on the winning side.

AI Value Gap Distribution 2025
Figure 1: The BCG study reveals only 5% of companies achieve substantial AI value, while 60% of companies (Emerging + Stagnating) are not generating material value from their AI investments.

The data reveals a brutal truth. Only 5% of companies worldwide are achieving substantial value from AI at scale, what BCG terms "future-built" organisations. Meanwhile, 60% of companies are failing to generate any material value despite making substantial investments in AI technology. This isn't merely about early adopters versus late movers; it's about survival versus obsolescence in an AI-driven economy.

The Australian Context: A Critical Moment

The Australian Context: A Critical Moment

Australia stands at a pivotal juncture. According to AWS research, AI adoption in Australia has grown 16% in the last year, with 1.3 million businesses (50% of all Australian companies) now regularly using AI. However, this surface-level adoption masks a deeper problem: most Australian businesses are not harnessing AI's transformative potential.

The research reveals a concerning two-tier economy emerging within Australia itself.

  • Startups
    • 81% are using AI
    • 42% are building entirely new AI-driven products
  • Large enterprises
    • 61% are using AI
    • 18% are delivering new AI products or services

This disparity threatens to create a permanent competitive divide within the Australian market.

Future-Built Companies Outperform Laggards Across Key Metrics
Figure 2: Future-built companies demonstrate superior performance across all key business metrics, with three-year total shareholder return showing the highest advantage at 3.6x.

The Five Pillars of AI Success: Lessons from the Future-Built

BCG's research identifies five interconnected strategies that distinguish the 5% of companies achieving transformational AI value:

Pursue a Multiyear Strategic AI Ambition

Pursue a Multiyear Strategic AI Ambition

Future-built companies approach AI as board- and CEO-sponsored programs, not as IT initiatives. Nearly 100% report deeply engaged C-suites, compared with only 8% of laggards. They establish shared ownership between business and IT functions, a model 1.5 times more common than in lagging companies.

Australian Example: Commonwealth Bank of Australia exemplifies this approach. Under CEO Matt Comyn's leadership, CBA has built a comprehensive AI strategy spanning its Customer Engagement Engine, which makes 55 million decisions daily, to partnerships with OpenAI and advanced fraud detection systems. Their GenAI-driven fraud alerts now generate 20,000+ alerts daily, reducing reported fraud by 30%.

  • Reshape and Invent with Impact

    Reshape and Invent with Impact

    Rather than simply automating existing processes, future-built companies fundamentally redesign workflows around AI capabilities. They achieve 76% higher alignment between where AI is deployed and where it delivers impact, with 62% of their initiatives already deployed compared to just 12% for laggards.

    Australian Mining Excellence: Rio Tinto's Autonomous Haulage System in the Pilbara region demonstrates this principle. Rather than merely automating trucks, Rio Tinto redesigned entire mining workflows around autonomous operations, achieving significant safety improvements and operational efficiency gains. Similarly, BHP's AI-powered predictive maintenance doesn't just monitor equipment, it fundamentally restructures maintenance operations to prevent failures before they occur.

  • Adopt an AI-First Operating Model

    Adopt an AI-First Operating Model

    The most successful companies reimagine their entire organisation around AI, moving from people-centred processes augmented by digital tools to AI-agent-centred processes orchestrated by people. They are five times more likely to engage in strategic workforce planning for AI.

  • Secure and Enable Necessary Talent

    Secure and Enable Necessary Talent

    Future-built firms invest in broad-based employee enablement, with more than 50% of employees expected to be upskilled in AI in 2025, compared with only 20% at laggards. They are six times more likely to carve out time for structured learning.

    Australian Initiative: The newly announced FSO Skills Accelerator-AI partnership between Future Skills Organisation and Microsoft targets over 30,000 VET educators and administrators, recognising that Australia's AI future depends on workforce transformation. This initiative directly addresses the skills gap, recent research shows only 29% of Australian workers consider their AI knowledge "expert" or "good," while 52% rate their abilities as "weak" or "non-existent".

  • Use Fit-for-Purpose Technology and Data

    Use Fit-for-Purpose Technology and Data

    Future-built companies are three times more likely to operate central, integrated AI platforms. More than 50% maintain enterprise-wide data models, compared with just 4% of stagnating peers. They make deliberate choices about when to build, buy, or partner for AI capabilities.

    The Agentic AI Revolution: The Next Frontier

    The Agentic AI Revolution: The Next Frontier

    Perhaps the most significant finding from BCG's research is the emergence of agentic AI, autonomous agents that can observe, reason, plan, and act with minimal human input. These systems already account for 17% of total AI value in 2025 and are expected to reach 29% by 2028.

    Future-built companies already allocate 15% of their AI budgets to agents, with a third actively using them. This represents both a massive opportunity and an existential risk for Australian businesses. Companies that fail to understand and deploy agentic AI risk being left behind as competitors automate entire workflows end-to-end.

    Australian Government Response: Building the Foundation

    Australian Government Response: Building the Foundation

    Australia's federal and state governments are recognising the urgency. The National Framework for the Assurance of AI in Government establishes cornerstones for safe and responsible AI use across all levels of government. The Victorian Government has committed A$1.5 million alongside $8 million in private capital to establish Australia's first AI scaleup accelerator, while Melbourne hosts over 20% of Australia's AI startups.

    However, Australia currently lacks dedicated AI legislation, creating uncertainty for organisations. The proposed risk-based legislative framework is still in consultation, and AI regulation barely featured in recent federal elections, casting doubt on the timeline for comprehensive regulatory guidance.

    The Cost of Delay: A Vicious Cycle

    The BCG study reveals that AI-driven value compounds over time, creating a self-reinforcing cycle. Future-built companies reinvest their AI returns in stronger capabilities, accelerating further value creation. Meanwhile, laggards risk being locked into a vicious cycle of losing ground.

    Time is the critical factor. As BCG warns: "The technology is advancing fast, making catching up more difficult with each passing week. Future-built companies are pulling away, widening the value gap, and putting slow movers in a deeper value hole".

    Recommendations for Australian Businesses

    Recommendations for Australian Businesses

    Based on the BCG findings and Australian market context, businesses must take immediate action across several fronts:

    Immediate Actions (0–6 months)

    Immediate Actions (0–6 months)

    • Establish C-level accountability for AI transformation with clear value targets
    • Conduct an honest capability assessment against the five future-built pillars
    • Identify 2–3 high-value workflows for end-to-end AI redesign
    • Begin broad-based workforce upskilling programs

    Medium-term Initiatives (6–18 months)

    Medium-term Initiatives (6–18 months)

    • Implement joint business-IT ownership models for AI initiatives
    • Develop partnerships within Australia's growing AI ecosystem
    • Build central AI platforms and data foundations
    • Start experimenting with agentic AI in controlled environments

    Long-term Transformation (18+ months)

    Long-term Transformation (18+ months)

    • Scale successful AI workflows across the enterprise
    • Invent new AI-native business models and revenue streams
    • Establish Australia as your regional AI hub for Asia-Pacific operations
    • Contribute to industry standards and regulatory frameworks

    The Australian Advantage

    The Australian Advantage

    Despite the challenges, Australia possesses unique advantages in the AI race. The country ranks in the top 9th percentile of Cisco's Digital Readiness Index, higher than Japan, Canada, Germany, and New Zealand. Melbourne alone hosts leading AI research capabilities across universities and institutes, while the mining and financial services sectors provide world-class testbeds for AI innovation.

    Australian businesses that act decisively can leverage these advantages to compete globally. The question is not whether AI will transform industries, it already is. The question is whether Australian businesses will be among the 5% that capture transformational value or the 60% left behind.

    Conclusion: The Moment of Truth

    Conclusion: The Moment of Truth

    The BCG research delivers an unambiguous message: the AI value gap is widening dangerously fast, and the window for action is closing. Australian businesses face a stark choice, transform now or risk irrelevance.

    The playbook is clear, the examples are proven, and the Australian ecosystem is ready. What remains is the courage to act decisively and the commitment to sustain the transformation. The companies that embrace this challenge will not just survive the AI disruption, they will define the future of Australian business.

    The great AI divide is here. Which side will your business be on?



    For the full BCG paper, visit Boston Consulting Group's "The Widening AI Value Gap".

    References

    Boston Consulting Group. (2025, January 30). Are you generating value from AI? The widening gap. [BCG](https://www.bcg.com/publications/2025/are-you-generating-value-from-ai-the-widening-gap) Amazon Web Services. (2024, June 21). New AWS research shows one Australian business adopts AI every minute. [Amazon Australia](https://www.amazon.com.au/news/aws/new-a) Commonwealth Bank of Australia (CBA). (2024, April 3). Commonwealth Bank's AI strategy: Analysis of dominating Australian banking. Klover AI. [Commonwealth Bank](https://klover.ai/commonwealth-bank-ai-strategy) Department of Finance (Australia). (2024, June 21). National framework for the assurance of artificial intelligence in government. [Australian Government](https://www.finance.gov.au/government/publications/national-framework-assurance-artificial-intelligence-government) Invest Victoria. (2024, May 15). Artificial intelligence: Creating opportunity for your business. [VIC Government](https://www.invest.vic.gov.au/explore-your-sector/artificial-intelligence) Appinventiv. (2024, May 10). The role of AI in mining operations in Australia. [Appinventiv](https://appinventiv.com/blog/ai-in-mining-operations-in-australia) HRD Australia. (2024, July 9). New major drive aims to close Australia’s AI skills gap. [Human Resources Director](https://www.hcamag.com/au/specialisation/hr-technology/new-major-drive-aims-to-close-ai-skills-gap) Corrs Chambers Westgarth. (2024, July 5). Responsible AI governance: Key considerations for Australian organisations. [Corrs Chambers Westgarth](https://corrs.com.au/insights/responsible-ai-governance)