Likes, Followers and the Environmental Cost of the Attention Economy

Edited and reviewed by Brett Stadelmann.

Social media feels almost weightless.

A like takes a fraction of a second. A follow requires one tap. Another video starts automatically. Another post appears beneath it. Yet behind those tiny interactions sits a vast physical and commercial system: phones and laptops, telecommunications networks, data centres, advertising infrastructure and algorithms designed to keep people looking.

The environmental cost of social media therefore cannot be reduced to the electricity required to load a single Instagram post.

The more interesting question is what happens when human attention itself becomes a commodity.

Visible engagement has become valuable enough to create an entire secondary market, including influencer-growth services and platforms for buying Instagram likes. That market exists because likes, followers and other public metrics can influence how popular, credible or commercially valuable an account appears.

But once attention has monetary value, platforms, creators, advertisers and growth services all have incentives to generate more of it. More impressions mean more content being served, more video streamed, more advertising opportunities and more time spent on devices connected to an energy- and resource-intensive digital infrastructure.

The problem is not that someone presses a heart-shaped button beneath a photograph. It is the much larger economy that has developed around maximising, measuring and monetising every possible moment of attention.

Key Takeaways

  • Social-media activity depends on physical infrastructure including devices, telecommunications networks and data centres.
  • Data centres consumed an estimated 415 terawatt-hours of electricity worldwide in 2024, around 1.5% of global electricity demand.
  • Platforms have strong commercial incentives to maximise time and engagement because attention can be converted into advertising and other revenue.
  • Likes and follower counts have become valuable forms of social proof, creating markets for paid engagement and other growth services.
  • Buying social-media engagement is not automatically the same thing as buying fake bot activity, but U.S. rules prohibit certain purchases and sales of fake influence indicators used to misrepresent commercial importance.
  • Infinite scroll, autoplay, push notifications and personalised recommendation systems can encourage longer and more frequent use.
  • The environmental footprint extends beyond electricity use to electronics manufacturing, resource extraction and device replacement.
  • A healthier digital economy would place more value on meaningful interaction and user choice rather than maximising engagement at every opportunity.

In Focus: Key Data

  • 415 TWh: estimated global electricity consumption by data centres in 2024, according to the International Energy Agency.
  • 1.5%: approximate share of global electricity consumption attributable to data centres in 2024.
  • 12% per year: approximate annual growth in data-centre electricity consumption over the five years preceding the IEA’s 2025 assessment.
  • 95%: up to this proportion of U.S. teenagers aged 13–17 report using a social-media platform, according to the U.S. Surgeon General.
  • 3+ hours: daily social-media use above this level among children and adolescents has been associated with around twice the risk of mental-health problems including symptoms of depression and anxiety.
Likes, Followers and the Environmental Cost of the Attention Economy

How Attention Became a Commodity

Attention has always had economic value. Newspapers sold advertising beside stories people wanted to read. Commercial television sold access to audiences gathered around popular programs.

Social media intensified that model by making attention extraordinarily measurable.

A platform can observe whether someone pauses over a video, likes a photograph, follows an account, shares a post, opens a notification, watches a clip to completion or abandons it after two seconds.

Those signals help platforms decide what to show next. They also give creators, advertisers and businesses visible measures of apparent popularity.

This is why follower counts and engagement rates matter commercially. A large audience can attract sponsorships, customers, collaborations and advertising opportunities. Likes can function as social proof: people see that others appear interested and may infer that an account, product or person deserves attention.

Once those numbers influence real economic outcomes, it is unsurprising that an industry emerges around increasing them.

The ethical question is not whether wanting an audience is inherently wrong. Artists, small businesses, journalists, charities and independent creators all have legitimate reasons to reach people.

The problem begins when the measurement of attention becomes more important than the quality of the interaction itself.

The Difference Between Paid Growth and Fake Engagement

The market for social-media growth deserves some nuance.

Paying to reach a larger audience is not inherently deceptive. Businesses have paid for advertising and promotion for generations, and social platforms themselves sell sponsored distribution.

Similarly, not every service that promises additional engagement necessarily relies on bots, hijacked accounts or fabricated identities.

That distinction matters under U.S. consumer-protection law.

The Federal Trade Commission’s Consumer Reviews and Testimonials Rule specifically addresses fake indicators of social-media influence. These include indicators generated by bots, accounts that do not correspond to real individuals, hijacked accounts and other indicators that do not reflect genuine activity or opinion.

The FTC prohibits buying or selling such fake indicators in circumstances where the buyer knew or should have known they were fake and they are used to misrepresent influence or importance for a commercial purpose.

That is narrower than saying that every purchased like or follower is automatically unlawful.

But it illustrates why the authenticity of engagement matters.

A metric becomes misleading when it appears to represent genuine human approval but was actually manufactured through fake identities or automated activity.

Why Likes and Followers Affect What People Believe

Public engagement metrics do more than reward creators psychologically. They shape perceptions.

An account with hundreds of thousands of followers may look more authoritative than one with a few hundred. A post with thousands of likes may appear more trustworthy, desirable or culturally significant than an otherwise identical post with very little visible engagement.

That creates a feedback loop.

Popularity attracts attention, and attention can generate more popularity.

Platforms also use engagement signals internally to decide what content is likely to hold attention. A post that attracts strong early interaction may be distributed more widely, creating opportunities for further engagement.

The result is an economy in which the appearance of attention can sometimes be almost as valuable as attention itself.

That helps explain why manufactured engagement is more than an eccentric corner of influencer culture. It reflects a deeper weakness in systems that treat easily counted signals as proxies for trust, relevance and quality.

The Feed Has a Physical Infrastructure

It is easy to forget this because almost all of the machinery is out of sight.

A user opens an app and sees photographs, messages and video appear almost instantly. Behind that experience are data centres storing and processing information, networks transporting it and electronic devices decoding and displaying it.

The International Energy Agency estimates that data centres consumed around 415 terawatt-hours of electricity in 2024, equivalent to approximately 1.5% of global electricity consumption.

The IEA also estimates that data-centre electricity consumption grew at about 12% annually during the preceding five years.

Those numbers encompass far more than social media. Data centres support cloud computing, business systems, websites, streaming, artificial intelligence and countless other services.

It would therefore be misleading to assign 415 TWh to Instagram, TikTok or social platforms generally.

But the figure does establish something important: digital activity is not immaterial.

Every additional layer of online activity ultimately rests on electricity generation, cooling systems, network equipment, buildings, servers and manufactured hardware.

Unsustainable explores these mechanisms in more detail in The Hidden Footprint of Endless Scrolling, where the useful distinction is not whether one scroll is environmentally damaging but what happens when frictionless digital consumption is multiplied across billions of users.

Why Engagement-Maximising Design Matters

Environmental impact is partly determined by what digital systems encourage people to do.

A website that provides the information someone needs and then lets them leave operates differently from a feed deliberately designed without a natural endpoint.

Social platforms have become particularly effective at removing stopping cues.

Infinite scroll means there is no final page. Autoplay means the next piece of content begins without another decision. Push notifications create reasons to return. Recommendation systems continually select material expected to keep an individual user engaged.

These features are now attracting regulatory scrutiny for reasons that extend beyond environmental impact.

In July 2026, the European Commission preliminarily found that the addictive design of Instagram and Facebook breached the Digital Services Act. Its investigation specifically highlighted infinite scroll, autoplay, push notifications and highly personalised recommender systems.

Earlier in 2026, the Commission reached a similar preliminary finding concerning TikTok’s design.

These findings concern physical and mental wellbeing rather than carbon accounting. They are nevertheless relevant to environmental discussions because the same features that increase time on a platform also increase the amount of digital activity being generated.

More minutes mean more content requested, processed, transmitted and displayed.

The Environmental Cost Is Not Just the Data Centre

Focusing exclusively on server electricity can obscure another major component of digital life: the device in someone’s hand.

Phones, tablets, laptops and other electronics contain metals, plastics, glass, semiconductors and batteries whose production begins with resource extraction and continues through refining, manufacturing, transport and assembly.

The U.S. Environmental Protection Agency notes that mining and processing the materials used in electronics consumes substantial energy, produces greenhouse-gas emissions and can contribute to pollution and resource depletion.

The EPA recommends reducing material use, increasing reuse and refurbishment, and extending the useful life of electronics as part of reducing their environmental impacts.

This is where the attention economy intersects with consumer culture.

Social media does not force someone to buy a new phone every year. But an ecosystem built around high-resolution video, sophisticated cameras, constant content production and status-oriented consumption can contribute to the perception that devices must continually improve.

The more sustainable response is usually not to feel guilty about using an existing phone.

It is to keep useful electronics useful for longer.

Unsustainable’s guide to deciding whether to repair, reuse or replace looks at the same lifecycle principle across electronics and household goods.

The Content Machine Also Encourages Consumption

The footprint of the attention economy extends beyond the hardware running social networks.

Social platforms are also extraordinarily effective retail environments.

Products can move rapidly from obscurity to cultural visibility through influencers, recommendation algorithms, sponsored posts and trends. Clothing, cosmetics, gadgets, décor and lifestyle products are continually presented as things people should want next.

That does not mean seeing a product online automatically creates unnecessary consumption.

Social media can also help people discover durable products, repair advice, second-hand markets, local businesses, environmental campaigns and communities built around lower-consumption lifestyles.

The important distinction is the incentive structure.

A platform earns more when people remain engaged. Advertisers benefit when that attention can be converted into purchases. Creators may benefit financially when they continually produce material capable of attracting both.

The system therefore has little inherent reason to say: you have enough now.

That makes attention and material consumption surprisingly closely connected.

Our broader guide to conscious consumption argues for inserting a simple pause before purchasing: asking whether something is genuinely needed, useful and likely to remain useful rather than allowing frictionless buying to become the default.

A similar pause can be useful before another hour of frictionless scrolling.

The Human Cost of Maximum Engagement

There is another reason to question an economic system organised around keeping people online for as long as possible.

Attention is finite.

Time given to a platform cannot simultaneously be spent sleeping, exercising, talking face-to-face, working, reading, creating or simply doing nothing.

This becomes particularly important for younger users.

The U.S. Surgeon General’s advisory on social media and youth mental health reports that up to 95% of young people aged 13 to 17 use a social-media platform.

It also notes that children and adolescents spending more than three hours a day on social media face approximately twice the risk of mental-health problems including symptoms of depression and anxiety.

Those findings should not be reduced to the claim that social media is universally harmful.

Online communities can provide friendship, identity, education, support and opportunities that may be especially valuable to people who struggle to find them locally.

The concern is instead what happens when platforms have a financial incentive to maximise engagement even after additional engagement stops improving the user’s experience.

Are Likes Actually a Good Measure of Success?

The attention economy encourages a deceptively simple equation:

more engagement = more success.

That works reasonably well if the only objective is measuring how much visible interaction occurred.

It works much less well for almost everything else.

A business may need customers rather than followers. A journalist may care more about whether an article informs people than whether a post promoting it receives thousands of likes. A photographer may prefer a small audience that genuinely values the work. A charity might accomplish more by motivating 100 committed supporters than by briefly appearing in the feeds of a million indifferent viewers.

Once metrics become targets, people also begin optimising for the metric itself.

That can mean more frequent posting, exaggerated headlines, controversy engineered for interaction, copying trends, manufacturing social proof or producing content whose primary purpose is to keep the engagement machine running.

The metric starts shaping the thing it was originally supposed to measure.

Manufactured Engagement Creates an Information Problem

This matters because social media increasingly functions as an information environment as well as an entertainment platform.

People encounter businesses, political arguments, health claims, charities, creators and news through the same feeds.

Visible popularity can therefore influence judgments that have nothing to do with entertainment.

If engagement indicators are artificial, the user may be evaluating information against false social proof.

The FTC’s rules around fake indicators of social-media influence recognise precisely this problem in commercial contexts: manufactured popularity can misrepresent a person’s or organisation’s actual influence.

It is another reason platforms, advertisers and businesses need to distinguish legitimate promotion from engagement that merely simulates public approval.

What Would a Lower-Impact Attention Economy Look Like?

No realistic sustainability strategy depends on everyone abandoning social media.

For millions of people it is part of work, friendship, community, entertainment and creative expression.

A better question is what these systems would look like if success were not defined almost entirely by maximum engagement.

That could include:

  • more natural stopping points instead of endless feeds;
  • autoplay being optional rather than assumed;
  • greater control over recommendation systems;
  • less reliance on public popularity metrics;
  • clearer distinction between genuine and artificial engagement;
  • business models that do not depend exclusively on maximising time-on-platform;
  • greater transparency about digital infrastructure and energy use;
  • software designed to remain useful on older hardware; and
  • greater emphasis on meaningful interaction rather than raw engagement volume.

Individual users can make smaller changes too: turn off unnecessary notifications, disable autoplay where possible, intentionally end sessions and resist upgrading functioning electronics simply because something newer exists.

None of those actions makes the digital economy sustainable by itself.

But they point toward a different idea of what digital wellbeing could mean: technology serving a purpose and then allowing the user to leave.

From Maximum Engagement to Meaningful Engagement

There is nothing inherently environmentally troubling about liking a friend’s photograph, following an artist or spending an evening watching videos.

The larger problem emerges when every interaction becomes input into a system whose default objective is simply to generate more interaction.

Likes and follower counts make attention visible. Advertising makes it valuable. Algorithms learn how to retain it. Markets emerge for increasing the numbers. Data centres, networks and electronic devices provide the physical infrastructure underneath it all.

The result is an attention economy whose environmental footprint is distributed across electricity systems, material supply chains and billions of devices — while its human cost appears in the growing competition for every spare minute.

The answer is not digital purity.

It is a better definition of success.

A healthier social platform would not necessarily be the one that keeps people online longest or produces the greatest possible number of likes. It might be the one that helps people find something useful, meaningful or enjoyable — and then gives them a good reason to put the phone down.

The problem is not that people like photographs online.

It is that an economy has been built around maximising, measuring and monetising every possible moment of attention.