Data extraction needs force previously separate platforms into direct competition.

Evidence

Given the need to expand data extraction and to position oneself in strategic locations, it would appear that companies are tendentially drawn into similar areas. This means that, despite their differences, companies like Facebook, Google, Microsoft, Amazon, Alibaba, Uber, and General Electric (GE) are also direct competitors. — Nick Srnicek, Platform Capitalism, 90

Categorization

• XREF: Contrasts with Zuboff’s account where surveillance capitalism’s logic produces relatively stable ‘instrumentarian power’ — here competition and convergence are the driving force. — connects to: The Big Five carve up the data economy under informal noncompetition that blocks rivals; No single corporation possesses the claimed ‘all’ of Big Data because harvesting is competitive — Nick Couldry & Ulises A. Mejias, The Costs of Connection: How Data Is…, 397; Industrial platforms extract data to cement monopolies over global manufacturing — Nick Srnicek, Platform Capitalism, 62 (+3 more)

Related

• The Big Five carve up the data economy under informal noncompetition that blocks rivals (similarity 0.91)
• Platform companies converge into similar forms as they compete for the same data. (similarity 0.88)
• Platform competition shifts from price to data as the competitive criterion (similarity 0.86)
• No single corporation possesses the claimed ‘all’ of Big Data because harvesting is competitive (similarity 0.86)
• Falling manufacturing profits drove capitalism toward data extraction via platform monopolies (similarity 0.83)
• The big five divide the data market without needing formal coordination. (similarity 0.82)
• Competition among platforms produces four systemic tendencies in the economy (similarity 0.82)
• A few firms vertically dominate every layer of the data extraction pipeline (similarity 0.81)
• Industrial platforms extract data to cement monopolies over global manufacturing (similarity 0.80)
• Platforms are the first business model with data extraction built into their core DNA (similarity 0.80)
• Sharing-economy platforms fuse data extraction with labor at unprecedented scale (similarity 0.79)
• Industrial Internet platforms are dominated by incumbent manufacturers, not new startups (similarity 0.78)
• Renting cloud infrastructure yields data extraction alongside rental income (similarity 0.78)