When the Cloud Goes Down, Your Productivity Dies
Imagine an ordinary morning. You open your computer, ready to dictate that urgent report. You press the shortcut for your favorite dictation tool. And then, nothing. An endless loading screen. A cryptic error message. Your subscription expired without warning. The server is under maintenance. Or worse: the company hosting your service has gone bankrupt, been acquired, or simply decided to quadruple its prices overnight.
This scene is not science fiction. It is the daily reality of millions of users who have entrusted their productivity to cloud services. In 2023, Google abruptly shut down its cloud gaming service Stadia, leaving thousands of customers with no recourse. In 2024, pricing policy changes at AI providers multiplied costs by ten for some developers. These companies hold absolute power: the ON/OFF switch for your work tools.
But beyond simple service interruption, there is a more insidious threat. What happens when a government decides to block access to an AI model? When a company censors certain types of content for political or commercial reasons? When your data is used to train models that will be used to influence you, manipulate you, sell to you?
Dependency as an Economic Model
Cloud computing has created an economy of dependency. The tech giants understood that the real value did not lie in selling software, but in the perpetual rental of a service. You no longer own your tools. You rent them. And like any good landlord, the renter can change the terms, raise the rent, or simply close up shop.
This dependency extends far beyond simple productivity tools. Our voice assistants, our navigation systems, our translation platforms, our creation tools — everything relies on infrastructures controlled by a handful of American and Chinese companies. We have traded our autonomy for convenience, without ever reading the fine print of the contract.
And the fine print is terrifying. It authorizes the use of your data to "improve services." It allows sharing with "partners." It retains your information "as long as necessary" — a deliberately vague formulation that means, in practice, forever. Your voice, your writings, your work habits, your very thoughts, become the raw material of an economic model that excludes you from the benefits while making you dependent on the finished products.
Local AI: An Act of Citizen Resilience
Faced with this centralization of technological power, an alternative is emerging. Local artificial intelligence — models that run entirely on your machine, with no internet connection, no account, no subscription. This is not simply a matter of privacy or cost. It is a matter of sovereignty.
Local AI is an act of resistance. It is the refusal to become a passive consumer, a free data producer for opaque economic models. It is the assertion that your productivity, your creativity, your thought, should not depend on the goodwill of a publicly traded company.
Take a concrete example with PerkySue, a voice dictation tool I developed that works entirely offline. Whisper for speech recognition, llama.cpp for AI transformation, all injected directly at your cursor. No remote server. No data transmitted. No account to create. If the internet cuts out, if the provider goes bankrupt, if prices explode — your tool keeps working. Because it lives on your machine, not in a data center on the other side of the world.
This resilience extends to all dimensions of use. You can work on a plane, in a rural area with no connection, in a country with strict internet censorship. You can process sensitive information — medical, legal, financial data — without ever exposing it to third parties. You can customize your tool, add your professional vocabulary, adapt the models to your specific needs, without asking anyone's permission.
Pareto's Law Applied to Autonomy
Skeptics will object that local models are less powerful than their cloud equivalents. This is true, in absolute terms. A 7 to 12 billion parameter model will not compete with 100+ billion giants for the most complex tasks — complete software architecture, cutting-edge scientific research, advanced multi-step reasoning.
But Pareto's law applies here with singular force. Eighty percent of our daily uses — writing emails, rephrasing texts, translation, boilerplate code generation, structured note-taking, shell commands — are perfectly mastered by these "modest" models. The remaining 20%, the ultra-complex tasks, can be delegated occasionally to cloud tools, used with discernment and intention.
The important thing is not to do everything locally. It is to no longer depend entirely on the cloud for tasks that we are perfectly capable of accomplishing ourselves. It is to reserve external tools for cases where they bring real, irreducible value, rather than using them by default because they are "simpler."
This hybrid approach — local by default, cloud by exception — transforms our relationship with technology. We become actors again, not mere consumers. We consciously choose when to outsource, rather than suffering systematic externalization. We retain control of our primary tools, while benefiting from external resources when they are truly necessary.
Toward Collective Technological Sovereignty
The issue goes beyond the individual. When entire communities adopt local and open-source tools, they build collective resilience. A city whose administrations use free software cannot be paralyzed by the bankruptcy of an American publisher. A country whose researchers master their own AI models is not vulnerable to technological sanctions or changes in trade policy.
Open source is the foundation of this resilience. Accessible, modifiable, auditable source code guarantees that the tool will survive its creator. That a community of developers will be able to maintain it, improve it, adapt it. That no company can unilaterally withdraw the service, change the terms, or lock features.
PerkySue, under Apache 2.0 license, embodies this philosophy. Every line of code is visible. Every user can verify what the tool does, how it processes data, where they go — or rather, that they go nowhere. A competent developer can modify the code, add features, fix bugs, create a fork adapted to their specific needs. The tool belongs to its community, not to a company.
The Choice of Intentionality
Adopting local AI is not a rejection of technology. It is a choice of intentionality. It is consciously deciding which tools deserve our trust, which data we are willing to share, which dependencies we accept to create.
It is also a question of real cost. A $15 monthly subscription seems modest. Multiplied by ten years, that is $1,800. Multiplied by all the cloud services we use — storage, office software, creation, communication — the total bill amounts to thousands of dollars per user, and $1,000+ billion globally for cloud companies. Petabytes of personal data exchanged for a convenience that could be provided locally.
Local AI offers us a third way. Neither technophobic rejection, nor passive submission to digital giants. A conscious, controlled, sovereign use of technology. Tools that serve us, without exploiting us. Tools that persist, without depending on a server. Tools that remain ours, even when the rest of the digital world collapses.
The next time you press a shortcut to dictate text, ask yourself: where does my voice go? Who controls it? What happens if the service disappears? If the answers worry you, perhaps it is time to take back control.
Jérôme Corbiau is the creator of PerkySue, a local voice dictation tool with AI that works entirely offline, with no remote server or data transmitted. He is also co-founder and software architect of My App Zone SRL (Brussels), and creator of the Cloud Neareo platform — an award-winning CMS notably by Microsoft and the Public Service of Wallonia, deployed in museums and heritage sites. His work aims at a constant objective: putting technology at the service of the user, rather than the reverse.
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