The AI Race: Why China and America Are Competing — And Why Australians Should Care

Artificial intelligence is often presented as a contest between competing chatbots.

It is much more than that.

The United States and China are racing to develop increasingly capable AI systems because the technology is expected to influence economic growth, scientific research, national security, industrial production and the future structure of work.

The country that develops the strongest AI industry may not merely sell better software. It may shape the systems through which businesses operate, governments make decisions and individuals obtain information.

That is why the competition has become so intense.

It also explains why the outcome matters to Australia.

China is closing the gap

The United States retains enormous advantages.

It is home to many of the world’s largest technology companies, leading semiconductor designers, deep capital markets and a powerful network of universities, researchers and start-ups.

American companies have also attracted extraordinary levels of investment.

Stanford University’s 2026 AI Index reported that private AI investment in the United States reached US$285.9 billion in 2025, compared with US$12.4 billion in China. However, the report cautioned that private investment figures do not capture the full scale of Chinese state-supported investment.

China, meanwhile, has advanced rapidly.

It has a large engineering workforce, extensive manufacturing capacity, major technology companies and a government that regards AI as an important national capability.

The performance gap between leading American and Chinese AI models has narrowed dramatically. Stanford’s 2026 analysis found that the gap had effectively closed, with models from the two countries trading places near the top of performance rankings since early 2025.

The United States still produces more highly regarded frontier models and retains important advantages in advanced chip design. China leads in several other areas, including AI publication volume, patent output and industrial robot installations.

This is no longer a competition between an established leader and a distant challenger.

It is becoming a contest between two highly capable technology systems with different strengths.

Why does AI matter so much?

AI can perform or assist with tasks that previously required significant human time, specialised training or both.

It can analyse documents, write computer code, identify patterns in large datasets, translate languages, answer customer questions, forecast demand and assist with research.

More advanced systems can combine text, images, audio and video. Others can operate as agents, completing a sequence of tasks rather than merely producing a single answer.

The economic significance lies in scale.

A useful AI system can be deployed across millions of workers, customers or transactions. Once developed, the cost of applying it repeatedly may be far lower than the cost of performing the same work manually.

This creates the possibility of substantial productivity gains.

It also gives countries and companies a strong incentive to move first.

A business that uses AI to reduce paperwork, improve logistics or accelerate product development may operate more efficiently than a competitor that continues to rely entirely on established processes.

A country with widespread AI capability may develop new medicines faster, run more productive factories, improve defence systems and create export industries around software, data and computing infrastructure.

AI is also about national power

The contest is not purely commercial.

AI has potential applications in intelligence analysis, cyber defence, autonomous systems, surveillance, military logistics and weapons development.

Advanced AI also depends on sophisticated computer chips, large data centres, reliable energy supplies and access to specialist knowledge.

This is why semiconductor restrictions have become an important part of the US–China relationship.

The United States has imposed and revised controls intended to restrict or manage China’s access to advanced computing chips and semiconductor manufacturing technology, citing both national security and military concerns.

China, in response, has strong incentives to develop greater technological self-sufficiency.

The AI race is therefore connected to a broader competition over supply chains, manufacturing, defence and global influence.

How does AI make money?

The simplest business model is subscription revenue.

Individuals and companies pay for access to AI tools that help them write, research, design, analyse information or produce software.

Technology companies can also charge businesses according to how much computing capacity they use. An organisation may integrate an AI model into its own website, customer service platform or internal systems and pay according to the volume of activity.

Cloud computing providers earn revenue by supplying the servers and processing power needed to train and operate AI systems.

Chip designers and semiconductor manufacturers make money by selling the specialised hardware on which those systems depend.

Consultants, software developers and cybersecurity companies can earn revenue by helping organisations introduce, customise and govern AI.

There is also a less visible source of value: cost reduction.

A business does not necessarily need to sell an AI product to make money from AI. It may improve profitability by reducing administration, detecting fraud, forecasting stock requirements or helping employees complete tasks more quickly.

In that sense, AI is similar to earlier industrial machinery.

The machine itself may be sold as a product, but much of its economic value comes from helping other businesses produce more with the same or fewer resources.

What does this mean for Australian businesses?

Australia is unlikely to outspend the United States or China in the development of the largest frontier models.

That does not mean Australia must remain on the sidelines.

There is an important distinction between building the world’s largest general-purpose AI systems and using AI effectively in Australian industries.

Australian businesses can apply AI to agriculture, mining, healthcare, financial services, logistics, construction, tourism, education and professional services.

A small business may use AI to prepare initial customer responses, summarise documents, compare supplier prices or produce a first draft of marketing material.

A larger organisation may use it to predict equipment failures, assess risk, detect unusual transactions or analyse thousands of customer interactions.

The commercial advantage will not necessarily belong to the company with the most expensive AI system.

It may belong to the company that understands its own operations well enough to apply AI to the right problem.

Australia’s National AI Plan, released in December 2025, seeks to support a more productive and resilient AI-enabled economy. The government says demand for AI-skilled workers has tripled since 2015, while Australian AI firms attracted approximately $700 million in private investment during 2024.

The challenge is implementation.

Businesses need to determine whether an AI system genuinely improves accuracy, service or productivity rather than adopting it merely because the technology is fashionable.

They must also protect confidential information, customer data and intellectual property.

An employee who places sensitive commercial material into an unapproved AI platform may expose information without appreciating the risk.

CSIRO and the National AI Centre have emphasised governance, human oversight, privacy, security and the need for organisations to understand how AI systems are being used.

For Australian businesses, AI adoption therefore requires both ambition and control.

What does it mean for the average Australian?

Many Australians already interact with AI without necessarily recognising it.

It may help determine which online content they see, identify suspicious banking activity, recommend products, translate information or direct a customer service enquiry.

Its influence will become more visible as AI is incorporated into workplaces, schools, healthcare, transport and government services.

The immediate effect for many workers will be job change rather than complete job elimination.

Administrative employees may spend less time preparing routine documents. Accountants may analyse information more quickly. Tradespeople may use AI for quoting and scheduling. Health professionals may receive assistance interpreting records or images.

Some roles will shrink. Others will expand.

New positions will emerge in AI implementation, data management, cybersecurity, compliance and system supervision.

The International Monetary Fund has estimated that AI could affect almost 40 per cent of jobs globally, replacing some tasks while complementing others. It has also warned that the benefits may not be distributed evenly.

That distinction matters.

A worker whose employer uses AI to improve productivity may become more capable and valuable.

A worker whose tasks can be fully standardised may face greater pressure.

AI literacy is therefore likely to become increasingly important.

This does not mean every Australian must become a computer scientist. It means workers should understand what AI can do, where it makes mistakes and how it can be used responsibly within their occupation.

The risks are real

The economic opportunity should not obscure the dangers.

AI systems can produce inaccurate information with confidence.

They can be used to create deepfakes, scams, fabricated evidence and highly personalised misinformation.

They may reproduce biases contained in the information on which they were trained.

They can also concentrate power in companies that control models, data centres, chips or digital platforms.

Privacy is another concern.

AI becomes more useful when it has access to relevant information. Yet giving a system more information may increase the consequences of a security breach or inappropriate use.

There are also questions about copyright, energy consumption, workforce disruption and the accountability of automated decisions.

Australia will need rules that address genuine harm without making legitimate innovation unnecessarily difficult.

That balance will not be simple.

Regulation that is too weak may leave consumers and businesses exposed.

Regulation that is too broad may discourage investment and push Australian companies toward technologies developed and controlled elsewhere.

Australia cannot afford indifference

Australia does not have to choose between becoming an AI superpower and ignoring the technology.

There is a practical middle position.

The country can develop specialist expertise, support local research, protect important data and ensure that Australian businesses and workers are capable users of global AI systems.

It can also build strength in areas where Australia already possesses knowledge, including mining, agriculture, medicine, environmental management and financial services.

The greater risk may not be that Australia fails to produce the world’s most powerful model.

It may be that Australian institutions adopt overseas AI systems without sufficient understanding, bargaining power or local capability.

Dependence is not created only by importing technology.

It is created when a country loses the ability to evaluate, adapt or replace that technology.

The Times View

The competition between China and the United States is intense because artificial intelligence is becoming economic infrastructure.

It may influence how products are designed, how services are delivered, how scientific discoveries are made and how national power is exercised.

For Australians, the question is not whether China or America will win a single technological race.

The more important question is whether Australia will develop the skills, businesses and institutions required to benefit from AI while retaining control over the decisions that matter.

AI should not be treated as a distant contest between foreign technology companies.

It is already entering Australian workplaces and homes.

The countries and businesses that understand how to use it will have an advantage. Those that remain passive may find that their productivity, employment conditions and economic choices are increasingly shaped elsewhere.