Data and the cloud concentrate risks that are less visible than those of AI or blockchain, but more systemic, because they support the entire digital economy.
6.1Concentration and dependence
Three American companies carry more than 60% of the world's cloud infrastructure. When one of them sneezes, the world catches a cold. At company level, the risk takes the form of vendor lock-in: proprietary services, egress fees, migration costs.
6.2Sovereignty and extraterritoriality
The US CLOUD Act allows US authorities to demand access to data from American providers, wherever it is hosted. EU-US frameworks have repeatedly been challenged, which turns legal risk into strategic risk.
6.3Privacy and surveillance
Personal data is the raw material of an economy of commercial surveillance: data brokers, targeted advertising, profiling. The GDPR gave Europe a protective framework, but its enforcement and its balance with innovation are still debated.
6.4Security
Data is attackers' number one target. A cloud specificity: many leaks come from a customer configuration error, an illustration of a poorly understood shared responsibility model.
6.5The environment
Data centres consume a growing share of the world's electricity, driven by AI. Location changes everything: a data centre in France emits far less CO2 than one powered by very carbon-intensive electricity.
6.6Quality, bias and blind spots
Incomplete or biased data produces biased decisions, and biased AI. Now that data feeds the models, its blind spots become theirs.
Going further: the library
French-language books and work
À quoi rêvent les algorithmes / Culture numérique
Dominique Cardon
The reference French sociology of the digital world.
En attendant les robots
Antonio Casilli
The hidden human labour behind data and AI.
L'Enfer numérique
Guillaume Pitron
The material footprint of the virtual.
Sous le feu numérique
Cécile Diguet & Fanny Lopez
The territorial and energy impact of data centres.
Publications on data and environmental footprint
CNIL / Arcep
International books
The Big Switch
Nicholas Carr
The cloud as electricity.
Big Data
Viktor Mayer-Schönberger & Kenneth Cukier
The data revolution explained.
How Data Happened
Chris Wiggins & Matthew L. Jones
The history of data, from the census to AI.
Data and Goliath
Bruce Schneier
Surveillance through data.
The Age of Surveillance Capitalism
Shoshana Zuboff
The economy of behavioural capture.
Invisible Women
Caroline Criado Perez
What data does not see.
Weapons of Math Destruction
Cathy O'Neil
When data-fed models go wrong.
Sources
IEA, Energy and AI; European Commission, Data Act; Synergy Research/Statista; CNIL and Arcep.
Finished this module?
Your progress is saved on this device.