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100 billion dollars.
This is the amount that Nvidia is preparing to invest in OpenAI, the creator of ChatGPT, to build the next generation of artificial intelligence infrastructures (Reuters, 2025).
Beyond the number, this announcement marks a major turning point: AI is no longer just an innovation, it is becoming a global economic infrastructure. For players in e-commerce, SMEs and financial departments, this alliance is shaping the new backbone of digital productivity.
According to Reuters, the deal includes an investment of $100 billion to provide OpenAI with supercomputers and thousands of GPUs calibrated for generative AI.
Nvidia is not limited to financing: It is becoming AI cloud infrastructure provider. OpenAI thus benefits from an exclusive architecture for its models (GPT-5, Copilot, DALL·E). Microsoft, a historical partner, now sees Nvidia establishing itself as a new strategic player.
What it reveals:
In e-commerce, this heralds a new era of Algorithmic scalability, where access to computing power is becoming a key factor in competitiveness.
By 2025, AI is worth more than $1 trillion in the global economy (McKinsey, 2025).
The Nvidia—OpenAI agreement illustrates this change: Computing Power is Becoming the New Oil.
This model involves:
E-commerce platforms using AI (Shopify, Amazon, Amazon, Amazon, Amazon, Amazon, Amazon, Prestashop AI, etc.) are already optimizing inventory management, customer personalization and conversion thanks to Predictive machine learning (PwC, AI Jobs Barometer 2025).
The integration of generative AI into business tools allows:
Actors capable of deploying native AI will benefit from an advantage in Operating Margin and Speed of Execution.
Those who persist with manual processes will suffer a Competitive Erosion.
The Nvidia—OpenAI partnership confirms a reality:
The businesses of the future will not be those that use AI, but those that think with AI.
For Leaders, It's No Longer a Question of Asking “Should we start?”
But “How to integrate AI to strengthen performance,
Profitability and strategic vision?”
A GPU is a processor designed for parallel computing. It is widely used in artificial intelligence to train large models that require massive computing power.
Algorithmic scalability refers to the ability of an AI system to automatically adapt to the growth in data volume, traffic, or users, without losing performance or slowing down.
Predictive machine learning is a branch of AI that uses historical data to predict future behaviors, such as forecasting sales, product recommendations, or anticipating customer churn.
The AI cloud infrastructure corresponds to all servers, GPUs, and resources hosted online that make it possible to develop, train, and deploy artificial intelligence models on a very large scale.