The increase in your Digital footprint is also an increase in your risk exposure surface. AI accelerates this phenomenon. The fundamental question is: what are the real benefits for the risks assumed?
Cybersecurity is at the heart of the concerns of large companies and most Mid-Caps. The attack surface is expanding due to the multiplication of deployed hardware and digital solutions. A compromise at a supplier can lead to chain reactions, making supply chain control a major challenge for operational resilience.
Examples of impacts:
Ransomware propagation: infection of the IT system can spread from suppliers to connected clients, requiring the shutdown of digital operations.
Data breach: the risk of criminal data leaks is amplified by the institutional risk of data access through US extraterritorial laws.
The most documented systemic threat to digital infrastructure for the 2030-2050 horizon — and the least anticipated in business continuity plans. Geo-localizing the physical assets of your digital value chain, combined with assessing your suppliers' maturity, is becoming essential.
Examples of disruption scenarios:
Supply chain disruption: semiconductors (90% in Taiwan/South Korea¹) and RAM.
Energy shock: geopolitical tensions, overconsumption related to AI.
Infrastructure damage: extreme weather events in the short-to-medium term.
The cost of proprietary solutions due to energy prices and AI investments is rising rapidly. At the same time, the extraterritoriality of US laws is strengthening, making European protections obsolete. Your strategic autonomy is at risk.
Examples of impacts:
VMware/Broadcom: price increases from 300% to 1,500%².
MSOffice: price increases of up to +25% to absorb the cost of investment in AI³.
Cloud Act: data hosted by US operators, even within Europe, can be requested by US authorities.
AI is not just an additional digital challenge. It is its systemic amplifier. Aligned with vague promises of productivity gains are the amplification of environmental impacts and the strengthening of strategic dependencies.
Deploying AI — a market heavily dominated by the United States — without discernment risks locking in core business operations and expertise by delegating them to a third party. This creates a completely unprecedented layer of dependency, on top of existing hardware and software dependencies.
"We have entered the era of the 'sovereignty paradox'. The more states and companies invest to build their own AI, the more they reinforce their structural dependency on a handful of foreign providers for chips (GPUs), cloud infrastructure, and foundation models. AI is no longer a simple technology; it is a 'geopolitical supply chain' comparable to energy, structured around a few critical bottlenecks."
Digital New Deal — Damien Kopp, AI: Global economy of dependencies, February 20261 — Infrastructure Layer
GPUs, Servers, Clouds (IaaS) — logistical dependencies and risks regarding extraterritorial laws.
2 — IT Software Layer
Operating Systems, Middleware, DevOps: a largely American stack, starting to natively embed AI features.
3 — Business Software Layer
Business tools integrating AI functionalities, often with opaque data usage clauses.
4 — Cognitive Layer of the Enterprise
Delegation of core business expertise — and even decision-making capabilities — to external AI agents outside the corporate culture.
As organizations delegate an increasing share of their critical skills to AI, an unprecedented liability is forming: a cognitive debt. Invisible on balance sheets but decisive for autonomy, it reflects the widening gap between the knowledge necessary for survival and what they still control. Behind the promised efficiency, a risk settles in: losing the capacity to understand and govern what constitutes their very essence. Nullans and Chenu - Décideurs Magazine - January 2026
Reducing environmental impacts and strengthening operational resilience are not two distinct initiatives. They are coherent projects leveraging shared mechanisms. The cost savings achieved through sobriety directly help finance actions toward better resilience.
38% of executives who commit to eco-responsible digital practices do so for financial reasons¹. At EDF, for instance, the return was estimated at €23M/year in IT savings².
These savings directly fund resilience investments: redundancy, relocation, changing suppliers, developing back-up solutions...
"Technological de-escalation consists of identifying everything in our IT systems or digital strategy that constitutes imported 'surplus' or 'non-essential' elements, and reducing it, in order to make the ecosystem lighter, more modular, and therefore easier to migrate when the time comes."
GreenIT, Responsible Digital and Sovereignty, 2026① Reduced footprint
Fewer servers, fewer tools, less data — the carbon footprint of the IT system automatically decreases.
② Reduced risk surface
Fewer suppliers, fewer dependencies, fewer points of failure — systemic fragility declines.
③ Released budget
The sobriety dividend funds investments in resilience, either in part or in full.
ROI of the Framework
(Losses Avoided × Probability) + Sobriety Savings
- Cost of Redundancies and Migrations/Simplifications
The available regulatory and methodological frameworks were built to structure these processes precisely. Utilizing them as leverage accelerates transformation.
CSRD / ESRS
The sustainability reporting obligation forces organizations to map real risks and impacts — exactly what a sustainable and resilient digital strategy must achieve. It structures the dialogue between Executive Management, CSR, risk teams, and the IT Department.
DORA (financial sector, in force since Jan. 2025)
Mapping vendor dependencies, tested business continuity plans, mandatory contractual exit clauses. Its approach — identifying dependencies and demonstrating the capacity to absorb them — is a model applicable far beyond the financial sector and cyber challenges.
Bilan Carbone© & GHG Protocol & LCA
Reference methodologies to measure the full carbon footprint of IT infrastructure and evaluate other environmental indicators. Essential for defining and driving impact reduction trajectories.
TOGAF©
Enterprise Architecture (TOGAF©) structures approaches to map business capabilities, identify critical components, and drive IT transformation, all within a shared language.
Digital Resilience Index (DRI)
Launched in 2026, currently maturing, this tool evaluates digital dependencies across 8 dimensions (strategic, legal, data/AI, operational, supply-chain, technological, security, environmental) and guides action priorities.
The goal is not compliance. It is governance. These frameworks are accelerators: they structure processes, create a common language between senior management and operational teams, and allow progress to be demonstrated credibly.
Would you like to have an initial conversation to see how this approach echoes your current priorities?
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