“Same Logic, Different Hands”

I want to start with an observation.

Over the past few episodes, we’ve been focused on Silicon Valley — Google, Facebook, Amazon. But reading this book, I kept feeling something: the logic Zuboff describes isn’t specific to one place.

It’s a technical infrastructure, combined with a particular way of understanding and extracting value from human behavioral data.

That infrastructure exists in different places. It’s been taken up by different actors. And it’s being used toward different ends.

That’s what we’re looking at today.

Back to a Basic Question

The framework we’ve built: surveillance capitalism extracts human behavioral data, converts it into prediction products, and uses those products to influence and shape behavior.

In the West, what drives this system is primarily commercial logic — advertising revenue, behavioral futures markets, shareholder returns.

But Zuboff poses a question in the book: what does this infrastructure look like when the goal isn’t selling ads?

Different parts of the world have already started answering that question.

Where Does Commercial Surveillance End?

Let’s be clear about how the Western model works.

In the Silicon Valley version, data flows primarily toward the advertising market. Platforms collect your behavioral data, sell it to advertisers, and advertisers use it to push more precisely targeted content. The goal is to keep you buying more, clicking more, staying on screen longer.

Does this system have a natural limit?

Zuboff’s answer: no.

Wherever there’s a new source of data, the system expands toward it. From search histories to location data, from social media to smart homes, from wearables to children’s toys. Every expansion comes with a plausible justification — better service, more personalization, more convenience.

But the direction of expansion is never decided by users.

When the Same Technology Meets Different Needs

Now consider a different situation.

The same technical infrastructure — large-scale data collection, behavioral analysis, predictive modeling, real-time intervention — what happens when the people using it aren’t trying to sell ads?

Here’s an example worth considering.

In 2016, a major Chinese search engine announced that its big data lab was using location data from 600 million users to track and predict the dynamics of an entire national economy — employment indexes, consumption indexes, even specific corporate earnings predictions.

The researchers wrote that they were the first team to measure a major economy by mining data of such unprecedented scale and spatial-temporal granularity.

Sit with that for a moment. A private company, by tracking the daily movements of 600 million people, built an economic monitoring system more real-time and more precise than official government statistics.

This is not a science fiction scenario. This already happened.

And what that capability means depends entirely on who holds it. For a company, it means sharper business decisions. For a government, it means real-time visibility into population movement, social mood, and economic activity.

The data is neutral. The people using it determine its meaning.

The Pandemic: A Large-Scale Experiment

The COVID-19 pandemic opened a rare window through which to watch this logic operate at scale.

Within a very short period, many countries and regions built phone-based population tracking systems — health codes, travel records, contact tracing.

Technically, these systems overlap substantially with surveillance capitalism’s infrastructure: large-scale location data collection, real-time behavioral analysis, access granted or restricted based on what the analysis produces.

In a public health emergency, some of these measures had clear justification. Many people accepted the trade-off willingly — some privacy in exchange for a safer collective environment.

But Zuboff returns to a point she makes throughout the book: infrastructure built in states of emergency tends not to disappear when the emergency ends.

This tracking infrastructure didn’t exist before the pandemic. It was built rapidly during it. After the pandemic, in different forms, in different places, it remained.

The pattern echoes Google’s story with unsettling precision — a “temporary” measure born of crisis that quietly became a permanent fixture.

Two Models, One Common Structure

Reading this, something became clear to me.

Western commercial surveillance and other forms of surveillance look different on the surface — one sells ads, the other serves different purposes. But they share a deep structural feature:

Ordinary people’s behavioral data is used, without genuine informed consent, to serve goals that are not the people’s own.

In the commercial model, your data serves advertisers. In other models, it serves other ends. But in both cases, you are not the beneficiary. You are the raw material.

Zuboff’s framing cuts to it: surveillance capitalism unilaterally claims human experience as free raw material.

“Unilaterally.” That word matters. No negotiation. No consent. No meaningful choice offered.

A Question Worth Sitting With

I want to end this episode with a question — not an answer, just something to think about.

We tend to frame privacy as a personal issue — my data, my privacy, my choice. Zuboff argues that framing is itself a trap.

Because the real impact of surveillance isn’t only personal. When a system can track, predict, and shape behavior across entire populations, it changes not just individual choices — it changes how a society forms opinions, makes decisions, understands what’s normal.

She calls this new form of power instrumentarian power — not exercised through violence or ideology, but through the precise environmental management of behavior, reshaping society from the inside.

This power looks one way in the hands of commercial companies. In other hands, it may look quite different.

But regardless of whose hands it’s in, Zuboff’s question stays the same: who authorized this? Who gave them the right?

That’s Episode 4.

We stepped back from Silicon Valley and looked at a wider picture — the same technical logic, operating in different places, in the hands of different forces. Commercial surveillance and other forms of surveillance have different stated goals, but share the same underlying structure: ordinary people’s behavior, without their knowledge, becomes raw material in service of someone else’s objectives.

Next episode is the last one for this book. Zuboff ends with a question: what can we do? Her answer — and mine — coming up.

This is Let’s Read Together. I’m Allen.

Last modified on 2026-06-05