The 75% Rule: How to Survive the American AI Monopoly

The Reality Check: Competing In A 75 Per Cent World

The starting point is uncomfortable: most of the infrastructure you will rely on for AI is already owned, priced and governed by someone else.

According to Stanford HAI’s AI Index and analysis from the OECD, the majority of cutting edge model training, capital expenditure and talent is concentrated in a small cluster of American companies. McKinsey & Company estimates that generative AI could add trillions to global GDP, but the platforms that capture the early value will be those already at scale.

For an Australian board, this concentration creates three strategic distortions.

This is where the 75 per cent rule becomes useful. Instead of asking “how do we build our own AI,” ask three sharper questions:

• What 25 per cent of the stack must we own or control to protect our margins and our mission?
• Where are we over exposed to a single US platform, and what is our plan B if that platform changes the rules?
• How do we turn our late start into an advantage by leapfrogging legacy systems and skipping failed experiments others have already paid for?

Boards that take this Reality Check seriously start to behave differently. They stop treating AI as a side project and start treating it as a dependency that must be governed like energy, cyber security or capital markets exposure.

In short, the Reality Check is not about fear. It is about clarity. Once you accept that you are building in a 75 per cent world, you can focus on the leverage that is still in your hands: your data, your customers, your brand, your distribution, and your ability to move faster than your domestic competitors.

This is where specialist partners matter. Firms like Bushnote, which sits at the intersection of AI search optimisation, brand and strategy, exist precisely because the rules of visibility and advantage are being rewritten by offshore platforms. You cannot control the platforms, but you can control how you show up inside them.

The "Closed" Investment Loop: Why Your AI Spend Is Not Compounding

Most Australian organisations are already spending on AI. They just are not investing.

The pattern looks like this. A board approves a modest “innovation” budget. The CIO or CDO runs pilots with one or two American platforms. A few proofs of concept are built. A vendor case study is written. The project is then either quietly shelved or rolled into business as usual as a cost saving line item.

The value created, if any, is trapped in a closed loop between IT, procurement and a handful of early adopters. It does not change how the organisation allocates capital, prices products, designs services or talks to the market. It does not change how the board sees risk and opportunity.

According to Deloitte and the Australian Computer Society, this pattern is especially common in mid sized Australian firms and public agencies. AI is treated as a technology issue, not a strategic one, so the investment loop never reaches the people who control the real levers.

Breaking this "Closed" Investment Loop requires three deliberate moves.

1. Reframe AI from “tools” to “options”. Each AI initiative should be evaluated as a strategic option: a small, time boxed bet that, if successful, unlocks a larger move. Boards are familiar with this language in mining, energy and infrastructure. Apply the same thinking to AI. What larger decision does this pilot make possible or cheaper in 12 months?
2. Insist on behavioural metrics, not just technical ones. It is not enough to know that a model is accurate or a chatbot is responsive. The real question is whether customers, staff or partners behave differently. Are sales cycles shorter? Are complaints lower? Are higher value products being chosen more often? This is where organisations like Ipsos and Nielsen become useful, because they measure behaviour, not just sentiment.
3. Open the loop into brand and market. If an AI initiative changes how you serve customers, it should also change how you talk about yourself. That means your AI roadmap should be visible in your narrative, your pitch decks, your investor communications and your recruitment. It should shape how you appear in AI mediated environments, from search results to recommendation systems.

This is where Bushnote’s work on AI search optimisation and brand and narrative is relevant. When AI systems like ChatGPT, Gemini and Perplexity answer questions about your category, they are not reading your IT roadmap. They are reading your public footprint, your content, your authority signals and your behavioural proof. If your AI investments never leave the building, they will never show up in those answers.

In short, the "Closed" Investment Loop is a governance failure, not a technology one. Boards that treat AI as a capital allocation question, and demand that each dollar spent increases both capability and visibility, will see compounding returns. Those that keep AI locked in IT will simply subsidise the learning curves of their vendors.

The Efficiency Paradox: When Cost Out Quietly Kills Advantage

If you read most board papers on AI, one phrase appears again and again: “efficiency gains”.

It is understandable. According to McKinsey & Company, generative AI could automate or augment a significant share of knowledge work, and many Australian organisations are under pressure from wage inflation, energy costs and capital constraints. Cutting costs feels like the safest way to “do something” on AI without scaring anyone.

This is where the Efficiency Paradox bites. The more you frame AI as a cost reduction tool, the more you train your organisation to ignore its strategic upside.

There are three ways this shows up.

Escaping the Efficiency Paradox requires a simple but uncomfortable rule for boards: at least half of your AI portfolio should be aimed at growth, not savings.

That means backing projects that:

• Create new revenue streams or pricing models
• Open up new customer segments or channels
• Increase switching costs by making your service meaningfully smarter, more personalised or more anticipatory
• Strengthen your brand by delivering experiences that competitors cannot easily copy

For example, an Australian insurer might use AI to build proactive risk alerts for small businesses, turning a traditional policy into an ongoing service. A university might use AI to design personalised learning pathways that improve completion rates and alumni engagement. A regional health provider might use AI to triage and route patients more intelligently, improving outcomes and trust.

These are not science fiction. They are already being trialled in markets studied by organisations like Harvard Kennedy School and the OECD. The question is whether Australian boards will choose to see AI as a growth engine or remain stuck in the comfort of cost out.

In short, efficiency is necessary but not sufficient. If your AI strategy reads like a procurement plan, you are probably optimising yourself into a corner while American platforms race ahead on invention.

The New Rules Of Visibility: Being Chosen By Humans And Machines

The final shift is the least understood and arguably the most important: AI is changing who and what gets seen.

For the last twenty years, visibility has been mediated by search engines and social feeds. You optimised for Google, you bought Facebook ads, you hired a PR agency. Humans were the primary audience, and algorithms were the gatekeepers.

Now, AI assistants and agents are becoming the first point of contact. When a CFO in Sydney asks ChatGPT for “the best mid market logistics providers in Australia,” or a policy adviser asks Gemini for “evidence based approaches to regional workforce development,” the answer might never involve a traditional search result at all.

If you are not visible to those systems, you may as well not exist.

This is where The New Rules of Visibility come in.

For Australian organisations, this creates both a risk and an opportunity.

The risk is that American and European competitors will dominate AI mediated visibility in your own backyard because they publish more, structure it better, and speak the language of models as well as humans.

The opportunity is that the bar is still low locally. Very few Australian brands, agencies or institutions have systematically aligned their content, data and narrative with how AI systems work. Those who move first can occupy outsized mindshare in AI generated answers.

This is the problem Bushnote has been building for, through services like AI search optimisation and brand and narrative. The goal is not to “game” AI systems. It is to make your real strengths legible to them, so that when a decision maker or an AI agent looks for expertise in your domain, you are a natural choice.

In short, The New Rules of Visibility are simple: be structurally clear, behaviourally credible and narratively consistent. If you do that, you will be findable by both humans and machines in a world where attention is increasingly allocated by American platforms.

This Is Optimistic But Cautious: A 12 Month Agenda For Australian Boards

The American AI monopoly is real. The concentration of power, capital and talent is not going away in the next few years. But that does not mean Australian organisations are condemned to be passive price takers.

If you are sitting on a board or in a C suite, the next twelve months should be about deliberate, visible moves, not vague ambition.

There are five practical steps that align with the ideas in this article.

1. Commission a Reality Check review. Ask management to map your dependency on major AI platforms, your exposure to offshore regulation, and your current AI initiatives. Require a clear view of what 25 per cent of the stack you must control, and where you are over reliant on a single vendor. Use external benchmarks from entities like the OECD, CSIRO and McKinsey & Company to calibrate.
2. Reopen the Investment Loop. Shift AI from a line item in IT to a standing item in strategy and risk. For each AI initiative, demand clarity on the strategic option it creates, the behavioural metrics it will move, and how its success will be communicated to the market. Tie executive incentives to both capability and visibility, not just cost savings.
3. Rebalance your portfolio away from pure efficiency. Set an explicit target that at least half of AI spend must be aimed at growth, differentiation or resilience. Encourage management to bring forward bolder, customer facing ideas, not just back office automation. Use scenario planning, as recommended by organisations like the Australian Treasury and the World Economic Forum, to test upside and downside.
4. Upgrade your visibility infrastructure. Treat your public footprint as a strategic asset in an AI mediated world. Audit your content, structure, schema and authority signals. Align them with how AI systems and human decision makers actually search and decide. This is where partnering with specialists like Bushnote on AI search optimisation, digital marketing and strategy and campaigns can compress your learning curve.
5. Set a cultural tone that is optimistic but cautious. Signal that AI is a tool for better work, better services and better outcomes, not just a mechanism for cuts. Invest in training, guardrails and transparent governance. Draw on frameworks from bodies like the OECD and Harvard Kennedy School to shape your principles, but adapt them to your context.

The 75 per cent rule is not a prediction. It is a design constraint. If you assume that most of the AI stack will be controlled offshore, you are forced to focus on what you can actually influence: your data, your people, your customers, your brand, your visibility and your speed of learning.

Boards that embrace that constraint will make sharper, faster decisions. They will use American AI as leverage, not as a crutch. They will show up in the answers that matter, both in human conversations and in AI generated ones.

Those that wait for perfect certainty will discover, too late, that the real monopoly was not the technology. It was the attention of their customers, staff and partners, quietly captured by those who moved first.

In short, this is optimistic but cautious, focusing on what Australian boards and CEOs need to do right now. The window is still open. The question is whether you will step through it or watch it close from the comfort of a well written risk register.