Privacy

If data is labor, can collective bargaining limit big tech?

Comment

Fingerptint isolated on white background
Image Credits: Veaceslav Cernat/EyeEm (opens in a new window) / Getty Images

Erik Rind

Contributor

Erik Rind is the CEO of ImagineBC and an expert in understanding the
largely untapped potential that blockchain and AI technologies bring
forward in order to help secure user’s data.

There are plenty of reasons to doubt that the House Judiciary Committee’s antitrust report will mark a turning point in the digital economy. In the end, it lacked true bipartisan support. Yet we can still marvel at the extent of left-right agreement over its central finding: The big tech companies wield troublingly great power over American society.

The bigger worry is whether the solutions on the table cut to the heart of the problem. One wonders whether empowered antitrust agencies can solve the problem before them — and whether they can keep the public behind them. For the proposition that many Facebooks would be better than one simply doesn’t resonate.

There are good reasons why not. Despite all their harms, we know that whatever benefits these platforms provide are largely a result of their titanic scale. We are as uneasy with the platforms’ exercises of their vast power over suppliers and users, as we are with their forbearance; yet it is precisely because of their enormous scale that we use their services. So if regulators broke up the networks, consumers would simply flock toward whatever platforms had the most scale, pushing the industry toward reconsolidation.

Does this mean that the platforms do not have too much power, that they are not harming society? No. It simply means they are infrastructure. In other words, we don’t need these technology platforms to be more fragmented, we need them to belong to us. We need democratic, rather than strictly market processes, to determine how they wield their power.

When you notice that an institution is infrastructure, the usual reaction is to suggest nationalization or regulation. But today, we have good reasons to suspect our political system is not up to this task. Even if an ideal government could competently tackle a problem as complex as managing the 21st century’s digital infrastructure, ours probably cannot.

This appears to leave us in a lose-lose situation and explains the current mood of resignation. But there is another option that we seem to have forgotten about. Labor organization has long afforded control to a broad array of otherwise-powerless stakeholders over the operation of powerful business enterprises. Why is this not on the table?

A growing army of academics, technologists, and commentators are warming to the proposition that “data is labor.” In short, this is the idea that the vast data streams we all produce through our contact with the digital world are a legitimate sort of work-product — over which we ought to have much more meaningful rights than the laws now afford. Collective bargaining plays a central role in this picture. Because the reason that the markets are now failing (to the benefit of the Silicon Valley giants) is that we are all trying to negotiate only for ourselves, when in fact the very nature of data is that it always touches and implicates the interests of many people.

The state of the unions

This may seem like a complicated or intractable problem, but leading thinkers are already working on legal and technical solutions.

So in some sense, the scale of the tech giants may indeed not be such a bad thing — the problem, instead, is the power that scale gives them. But what if Facebook had to do business with large coalitions representing ordinary peoples’ data interests — presumably paying large sums, or admitting these representatives into its governance — in order to get the right to exploit its users’ data? That would put power back where it belongs, without undermining the inherent benefits of large platforms. It just might be a future we can believe in.

So what is the way forward? The answer to this question is enabling collective bargaining through data unions. Data unions would become the necessary counterpart to big tech’s information acquiring transitions. By requiring the big tech companies to deal with data unions authorized to negotiate on behalf of their memberships, both of the problems that have allowed these giant tech companies to amass the power to corrupt society are solved.

Labor unions did not gain true traction until the passage of the National Labor Relations Act of 1935. Perhaps, rather than burning our political capital on breaking up the tech giants through a slow and potentially Sisyphean process, we should focus on creating a 21st century version of this groundbreaking legislation — legislation to protect the data rights of all citizens and provide a responsible legal framework for data unions to represent public interests from the bottom up.

Tech-publisher coalition backs new push for browser-level privacy controls

More TechCrunch

AWS has confirmed its European “sovereign cloud” will go live by the end of 2025, enabling greater data residency for the region.

AWS confirms will launch European ‘sovereign cloud’ in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months. Instagram head Adam Mosseri noted that the company…

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people