Google's Hidden Empire
- URL: http://arxiv.org/abs/2511.02931v1
- Date: Tue, 04 Nov 2025 19:29:52 GMT
- Title: Google's Hidden Empire
- Authors: Aline Blankertz, Brianna Rock, Nicholas Shaxson,
- Abstract summary: We show that Google has amassed an empire of more than 6,000 companies.<n>The power of Google over the digital markets infrastructure and dynamics is likely greater than previously documented.<n>Our lessons from the past failures can inform the current approach towards one of the biggest ever big tech M&A deals.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This paper presents striking new data about the scale of Google's involvement in the global digital and corporate landscape, head and shoulders above the other big tech firms. While public attention and some antitrust scrutiny has focused on these firms' mergers and acquisitions (M&A) activities, Google has also been amassing an empire of more than 6,000 companies which it has acquired, supported or invested in, across the digital economy and beyond. The power of Google over the digital markets infrastructure and dynamics is likely greater than previously documented. We also trace the antitrust failures that have led to this state of affairs. In particular, we explore the role of neoclassical economics practiced both inside the regulatory authorities and by consultants on the outside. Their unduly narrow approach has obscured harms from vertical and conglomerate concentrations of market power and erected ever higher hurdles for enforcement action, as we demonstrate using examples of the failure to intervene in the Google/DoubleClick and Google/Fitbit mergers. Our lessons from the past failures can inform the current approach towards one of the biggest ever big tech M&A deals: Google's $32 billion acquisition of the Israeli cloud cybersecurity firm Wiz.
Related papers
- Real-World Gaps in AI Governance Research [0.0]
Drawing on 1,178 safety and reliability papers from 9,439 generative AI papers (January 2020 - March 2025), we compare research outputs of leading AI companies and universities.<n>We find that corporate AI research increasingly concentrates on pre-deployment areas -- model alignment and testing & evaluation.<n>Significant research gaps exist in high-risk deployment domains, including healthcare, finance, misinformation, persuasive and addictive features, hallucinations, and copyright.
arXiv Detail & Related papers (2025-04-30T20:44:42Z) - Characterizing Robocalls with Multiple Vantage Points [50.423738777985314]
We show that unsolicited calls are in slow decline, though complaints and call volumes remain high.
We find that robocallers have managed to adapt to STIR/SHAKEN, a mandatory call authentication scheme.
In total, our findings highlight the most promising directions for future efforts to characterize and stop telephone spam.
arXiv Detail & Related papers (2024-10-22T18:54:12Z) - Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI [67.58673784790375]
We argue that the 'bigger is better' AI paradigm is not only fragile scientifically, but comes with undesirable consequences.<n>First, it is not sustainable, as, despite efficiency improvements, its compute demands increase faster than model performance.<n>Second, it implies focusing on certain problems at the expense of others, leaving aside important applications, e.g. health, education, or the climate.
arXiv Detail & Related papers (2024-09-21T14:43:54Z) - Google's Chrome Antitrust Paradox [14.631958152016749]
Article shows that Chrome is instrumental in Google's strategy to reinforce its dominance in the online advertising, publishing, and browser markets.<n>It illustrates how Chrome bolsters Google's position in online advertising and publishing through practices such as coercion and self-preferencing.<n>It also outlines potential regulatory interventions and remedies by drawing on historical antitrust precedents.
arXiv Detail & Related papers (2024-04-04T20:41:26Z) - Exploring Antitrust and Platform Power in Generative AI [5.941903189356181]
concentration of power in a few digital technology companies has become a subject of increasing interest.
In the realm of generative AI, we are once again witnessing the same companies taking the lead in technological advancements.
This article examines the market dominance of these corporations in the technology stack behind generative AI from an antitrust law perspective.
arXiv Detail & Related papers (2023-06-20T07:21:31Z) - Identifying key players in dark web marketplaces [58.720142291102135]
This paper aims to identify the key players in Bitcoin transaction networks linked to dark markets.
We show that a large fraction of the traded volume is concentrated in a small group of elite market participants.
Our findings suggest that understanding the behavior of key players in dark web marketplaces is critical to effectively disrupting illegal activities.
arXiv Detail & Related papers (2023-06-15T20:30:43Z) - Construction and Applications of Billion-Scale Pre-Trained Multimodal
Business Knowledge Graph [64.42060648398743]
We introduce the process of building an open business knowledge graph (OpenBG) derived from a well-known enterprise, Alibaba Group.
OpenBG is an open business KG of unprecedented scale: 2.6 billion triples with more than 88 million entities covering over 1 million core classes/concepts and 2,681 types of relations.
arXiv Detail & Related papers (2022-09-30T04:03:26Z) - Macroscopic properties of buyer-seller networks in online marketplaces [55.41644538483948]
We analyze two datasets containing 245M transactions that took place on online marketplaces between 2010 and 2021.
We show that transactions in online marketplaces exhibit strikingly similar patterns despite significant differences in language, lifetimes, products, regulation, and technology.
arXiv Detail & Related papers (2021-12-16T18:00:47Z) - The De-democratization of AI: Deep Learning and the Compute Divide in
Artificial Intelligence Research [0.2855485723554975]
Large technology firms and elite universities have increased participation in major AI conferences since deep learning's unanticipated rise in 2012.
The effect is concentrated among elite universities, which are ranked 1-50 in the QS World University Rankings.
This increased presence of firms and elite universities in AI research has crowded out mid-tier (QS ranked 201-300) and lower-tier (QS ranked 301-500) universities.
arXiv Detail & Related papers (2020-10-22T15:11:14Z) - A vision for global privacy bridges: Technical and legal measures for
international data markets [77.34726150561087]
Despite data protection laws and an acknowledged right to privacy, trading personal information has become a business equated with "trading oil"
An open conflict is arising between business demands for data and a desire for privacy.
We propose and test a vision of a personal information market with privacy.
arXiv Detail & Related papers (2020-05-13T13:55:50Z) - Using News Articles and Financial Data to predict the likelihood of
bankruptcy [0.0]
Millions of companies have filed for bankruptcy over the past decade.
High interest rates, heavy debts and government regulations are to blame.
The effect of a company going bankrupt can be devastating, hurting workers and shareholders.
arXiv Detail & Related papers (2020-03-22T17:29:41Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.