Digital “dark patterns” are a multi-billion dollar system of behavioural manipulation used by Big Tech to deceive our brains and distort our politics, and they are a threat to Australia’s economy and democracy.

Dark patterns are user interface designs and algorithms created to confuse individuals, obscure true preferences, or coerce unintended choices. They are deliberately designed and engineered by mega-corporations to weaponise human cognitive vulnerabilities to maximise corporate profit and protect market power. These unaccountable, foreign multinational corporations are undermining Australia’s sovereignty and crushing our independence, while bleeding everyday people dry.

More than just being a manipulative consumer technology or evidence of corporate greed, dark patterns are symptoms of extreme capitalism: the commodification of human attention, extraction of “digital ground rent — these are evidence of the crisis of the status quo and rise of technofeudalism.

By controlling digital interfaces and algorithmic recommendation feeds, the Big Tech monopolies act as digital lords, enclosing and manipulating our attention, leisure and daily habits to extract profits.

This corporate manipulation operates at a vast scale and causes real economic harm. A 2022 nationwide study by the Consumer Policy Research Centre (CPRC) revealed that 83 percent of Australians have suffered financial harm or felt manipulated due to deceptive online designs. This harm mostly manifests as the corporation extracting money, often through some kind of scam fee or tricking you into agreeing to unfair contract terms.

Dark patterns are inherently extractive and exploitative. They are intended to siphon financial wealth and attention from everyday people to benefit corporate balance sheets. The 2022 CPRC research showed younger Australians are particularly vulnerable, with a third of people aged 18 to 28 spending more money than intended due to deceptive online design tactics.

The dark patterns always benefit the corporation at the expense of individual people and communities — manipulating people to spend more, using deceptive design to trap people into contracts or to buy junk services, or making switching to other services costly or impossible. This is all a form of corporate theft.

There are two broad types of dark patterns: visible (e.g. an online user interface’s design), and invisible, algorithmic dark patterns.

A classic visible dark pattern is the subscription trap, known as “the Hotel California pattern” (named after the song line “You can check out any time you like / But you can never leave“) where signing up is easy but cancelling is nearly impossible. A few years ago, you could sign up to Amazon Music in just a few clicks, but cancelling took 12 screens.

In Australia, 75 percent of consumers report negative experiences trying to cancel subscriptions, with 48 percent spending excessive time navigating cancellation barriers, and 10 percent giving up entirely and just continuing to pay the subscription.

Other visible dark patterns are things like fake scarcity pop-ups on websites that try to convince you that the product you’re looking at is about to sell out. Design cuts like “high in-demand” messages, “low stock” messages and countdown timers are forms of dark pattern manipulation. These online design elements all reduce trust (because there’s no way to know if the messages are genuine) and, again, manipulate people into spending when they otherwise wouldn’t. The design tricks also include pre-checked boxes that get you to agree to junk shipping insurance, or hidden fees that are only included in the final page of a checkout.

A 2024 global regulatory sweep found that almost 80 percent of websites and apps employed at least one manipulative dark pattern.

Beyond e-commerce, many of the addictive design properties of social media platforms and your smart phone are also dark patterns: red notification bubbles, push notifications that cannot be turned off, intermittent and variable notifications, infinite scroll, and follower and like counts on social profiles or posts. Unlike e-commerce dark design, which are designed to extract our money, social media dark design is designed to extract our attention — and sell it to advertisers.

The ultimate combination of e-commerce extraction and social media addiction are online gaming and gambling companies. Many of these imitate financial services — pretending to be online trading or investment services. Apps like Polymarket or Kalshi, crypto trading and day-trading apps all use the full range of dark patterns to make their use highly addictive and highly extractive. These corporations typically use manipulative practices multiple channels: for example, the trading apps not only make their app addictive, they pay “finfluencers” on social platforms like Titktok or Instagram to try to shape your behaviour and extract money from you.

Most concerning than what we can see however, are the hidden, algorithmic dark patterns that operate beneath the surface interface of websites. These are embedded directly into backend code as tools used to maintain corporate dominance and profits through data manipulation and promoting addiction.

Algorithmic dark patterns use dynamic data processing and system design to exploit “cognitive biases, particularly loss aversion and anchoring effect” and are purposely designed to “encourage addiction”. The new generation of AI large language model chatbots like ChatGPT and Claude are at the front lines of new forms of algorithmic dark patterns.

Unlike the visible tricks that are common — like infinite scroll or red notification alerts — AI-driven recommender algorithms continuously collect behavioural data to alter user habits over time. Our changed behaviour then reinforces the machine-learning algorithm to become even more effective at modifying our behaviour.

The clearest example of this is Amazon. Amazon uses the behavioural data of hundreds of millions on shoppers to provide hyper-personalised shopping recommendations. These recommendations are both designed to get us to buy in a way that maximises the profit for Amazon — and our behaviour on Amazon’s app reinforce our own future behaviour and further train Amazon’s personalisation algorithm.

This manipulation occurs now at a global scale, with significant implications for economics and even capitalism itself.

Neuroscientific research from 2021 shows that personalised algorithmic feeds — like Amazon’s personalised shopping, or Tiktok and Instagram’s “For You” and “Explore” pages — “trigger stronger activity in areas of the brain associated with addiction as compared to non-personalized videos”:

The automatic loading of new content keeps users engaged and delivers a constant flow of dopamine to the brain, removing the need to actively decide what to browse next and removing their agency and autonomy while using social media platforms. Examples include YouTube and Netflix’s autoplay features, Instagram’s infinite scroll, and Spotify’s Radio function. [Source]

Social media addiction functions through “the vicious cycle involving user attention leading to powerful dopamine-related reinforcement, which then stimulates more attention intended to achieve more reinforcement.” They literally use the same neural pathways and biology that cigarette (drug) and poker machines (behaviour) use to create addiction: “Brain imaging scans have revealed similar abnormalities in both types of addiction.”

Companies like TikTok also integrate their social media and ecommerce personalisation through services like Tiktok Shop — the full array of dark patterns are used. Advances in technology in just a few years has increased the effectiveness, sophistication and amount of data used by Big Tech personalisation algorithms.

These Big Tech monopolies aren’t using dark patterns to make their apps and services better for us. Rather, they use these manipulative designs and algorithms to protect their market power against genuine competition and to entrench their economic and political power.

To spell it out even more clearly: social media and Big Tech companies are financially incentivised to try to make you addicted to their products and services.

For example, by creating artificial “switching costs” to trap users inside their proprietary digital ecosystems, tech giants like Facebook make it almost impossible for any other social media company to compete. It is simply impossible to take your connections and a digital-lifetime of updates and photos to a competing social platform.

The Big Tech platforms capture users through platformisation and network effects rather than competing or creating a genuinely “good” product.

This systemic manipulation distorts the broader Australian economy, driving artificial demand and hiding true costs across retail, energy, telecommunications, and rental housing.

In February 2026, the Australian Competition and Consumer Commission stated that complex, unclear pricing in essential services severely restricts the ability of consumers and small businesses to avoid financial harm, and may amount to anti-competitive behaviour. Since then, new Australian laws have come into effect that “prohibit conduct that manipulates consumers or unreasonably distorts their decision-making, and causes detriment”. There are fines of up to $100 million for contraventions of these laws. It remains to be seen how effective these laws will be or whether the ACCC can enforce them.

The toll of dark patterns and Big Tech algorithms also impact local businesses: mandatory fees, algorithmic demotions, pay-to-play are all deeply anti-competitive big business practices used by companies like Amazon and Google.

Dark patterns and algorithmic manipulation are used daily in our work. Gamification, algorithmically determined production or sales targets, surveillance and mouse-movement monitoring are all the employment side of corporate use of dark patterns. These dark patterns are now used far beyond delivery gig workers and warehouse packers — Big Tech platform dynamics are reshaping employment relations and power dynamics for basically every worker, everywhere.

Beyond economic extraction, dark patterns are a serious risk to our democracy.

This threat to democracy comes from the principal that democracies require voters to be able to make decisions and form opinions free from covert coercion. Dark patterns and Big Tech manipulation destroy decisional privacy, restricting an individual’s capacity to make autonomous choices free from corporate coercion or excessive influence.

Tech tools and AI platforms allow political organisations and parties to scale political micro-targeting at a level far beyond what we have seen before with synthetic and manipulated content. AI tools can create hundreds of political ads and deploy them across entire populations — augmented with realistic-looking fake images, video and audio, or AI-edited and manipulated content. The Cambridge Analytica scandal — where 50 million user profiles were harvested to manipulate voters — was the appetiser to the main-course we are now facing of algorithmic manipulation directly undermines democratic processes.

Data harvesting and algorithmic political micro-targeting are another way that dark patterns can influence and distort democracy. People are coerced through dark patterns to hand over vast amounts of personal data, locations, contact networks, etc, to platforms that are then able to be used for advertising, or to reinforce algorithm recommendation feeds. A political actor doesn’t need to even try to create target audiences for their ads or content — the algorithm automatically finds the audiences for them.

The algorithmic dark patterns for social media feeds also distort the “public square” and undermine shared civic reality. As Invisible Rulers author Renée DiResta writes, the algorithmically curated feeds create hyper-personalised “gladiatorial arenas” that prioritise “outrage, spectacle, and factional warfare”, actively exploiting “human attraction to divisiveness, continually surfacing and boosting sensational, extreme, or emotionally charged content”.

This hyper-personalisation fractures shared understanding into disconnected and hostile echo-chambers — the shared understanding of the world and acceptance of a base-line level of facts needed for social democracy to function is replaced by Big Tech-curated algorithms that maximise profits and elevate fringe viewpoints, conspiracy theories and extreme partisan views.

By prioritising “viral”, manufactured outrage and synthetic/fake “pseudo-events” — such as selectively cropped video clips, false rumours, or culture war battles — the dark pattern recommendation algorithms also undermine society-wide trust in institutions. This is especially the case in the USA, where civic and public institutions like the CDC, the Public Broadcasting Service and even the weather service are facing declining trust due to algorithmically-promoted online content.

However, this is also the case in Australia, where there is a decline in trust in institutions like the ABC, High Court and Therapeutic Goods Administration. This decline in trust comes at a time, as pollster George Hasanakos notes, “of greater economic stress, especially in relation to housing costs” — i.e. wealth inequality and collapse of liberal hegemony — but the rise of Big Tech and algorithmic manipulation is one symptom of the crisis of the status quo.

None of this erosion of democracy is “stateless”. The Big Tech companies are direct projections of US geopolitical and imperial power, both on their own population and into other countries like Australia. The tech monopolies rely on and reinforce the US state’s global actions to protect their profits, change national property rights laws, aggressively push the integration of corporations like Palantir into our national security apparatus, and so on. Algorithmic and Big Tech power is not a purely technical matter.

As I noted earlier, Australian consumer protection laws have been introduced to try to restrict the use of dark patterns. Previous laws have failed to stop these practices — partly because they require proving high legal thresholds like unconscionable conduct or outright falsehoods, but mainly because consumer protection laws do not address the root cause of the dark patterns: excessive corporate monopoly power.

The subtle digital designs and hidden algorithmic programming that steers individuals toward extractive choices is the output of an economic system that treats human bodies and minds as a source of profit extraction.

The economic crisis of profitability in advanced Western economies means that capitalism needs new frontiers of profit. The AI and Big Tech platforms, and the financial system that bankrolls them, have temporarily solved this profit-crisis by turning our attention, minds and democracy into a source of profit. No amount of interface redesign can address this problem.

Enforcement by the ACCC against subscription traps and dark patterns are essential, but obviously insufficient. The extreme power of AI companies like OpenAI, Microsoft and surveillance-AI companies like Palantir are so expansive and distortionary that the only way to counteract the influence is to break up the companies themselves — something that Australia cannot do, and something the US Government could do but never will. Genuinely challenging the power of Microsoft or Amazon would threaten Australia’s financial and national-security infrastructure, which is intimately tied to the USA.

This means that we, in Australia, must look beyond the visible user interfaces and address system design and algorithms. We need to ask: should we allow the use of algorithmic content or data manipulation at all? There is little social benefit and significant social harm from surveillance-based, engagement maximising algorithms.

Countering corporate tech dominance requires these kinds of questions: algorithmic transparency followed by demanding answers to “who benefits” from the algorithm and does it cause social harm. Before the algorithm can be used by corporations it must demonstrate that it does not cause harm, and there must be the ability and preparedness by regulators to enforce shut-downs of harmful algorithms.

We should also look seriously — as I’ve written about — at data trusts to protect workers, voters, consumers, from corporate data extraction. Our data and privacy is worth trillions of dollars, and has been effectively stolen by Big Tech.

Reclaiming sovereignty in Australia requires that we recognise dark patterns as a tool of excessive corporate power that restricts our cognitive, economic and social freedoms. More than regulating deceptive design to protect consumer rights, we must ensure technology serves society rather than monopoly extraction.