Does AI make us lazier or more efficient?
Posted on
2/4/2026
It's a question we're getting more and more excited about: does artificial intelligence (AI) make us more efficient workers or simply... lazier? During his last TEDx, Ines Besbes asked this captivating question. In a world in constant change, where digital transformation is shaking up the boundaries, it is time to think deeply.
Between collaborative tools powered by AI, the automation of time-consuming tasks, performance management, and Big Data at the service of the customer experience, digital technologies promise mountains and wonders. But at what price?
In this article, we are going to break down this dichotomy: are we evolving towards new efficiency or are we slowly sliding into digital laziness?
Spoiler: the answer is not that binary. Let's go!
AI: a really effective ally or a seductive illusion?
Artificial intelligence is used in all areas of the company: from the HR function to the customer relationship, from strategic management to operational management. But its major impact can be measured in one word: efficiency. In an ultra-connected world, business managers seek to optimize each process, strengthen their competitiveness and succeed in their digital transformation.
The digitization of business processes is no longer a luxury, it is an imperative. Thanks to digital technologies, businesses can rethink their organization, streamline their workflows, and build a digital business capable of meeting the challenges of a constantly changing market.
For CIOs (Information Systems Departments), AI is a strategic tool in the digitization of the work environment. It is a question of managing transformation projects with a clear vision of operational priorities, while integrating new uses linked to digital transformation.
Where is AI really effective in business?
AI is radically transforming the way employees work. It changes expectations, skills, and the employee experience. It is also revolutionizing the role of support functions in a context of increased agility.
Here are a few areas where AI is making business more efficient:
- Automating repetitive tasks : no need to spend hours on Excel or on manual processing. The dematerialization of these processes frees up time and improves productivity.
- Data analysis (Big Data) : it promotes decision-making that is more informed, faster and better aligned with the global transformation strategy.
- Personalized customer experience : connected tools such as chatbots or conversational assistants allow a rapid, continuous and contextual response to customer needs.
- Project planning : digital tools such as Monday, Notion or Trello, enriched by AI, allow agile and collaborative project management.
- Management support : dynamic dashboards, intelligent alerts, performance predictions... AI is becoming a co-pilot for managers in their daily management.
All these advances are part of a profound digital evolution. They are integrated into a modernized information system, designed to support the internal transformation of structures, especially in ETIs and large companies. They are powerful levers for promoting transformation, digitizing flows, and strengthening strategic coherence.
Besides, Harvard Business Review shows that AI allows an average increase of 14% in productivity in well-supervised digital environments (stream).
IA = A really effective collective tool?
When teams are connected through smart digital tools, work not only becomes faster, but also more fluid and collaborative. Management adopts agile practices, silos disappear, processes adapt to business needs.
Transformation projects are no longer just IT projects. They become organizational dynamics carried by the whole company. AI facilitates change management and gives employees the means to take an active part in the evolution of their ecosystem.
In large companies, the integration of AI into information systems has made it possible to shorten validation cycles, to optimize costs, and above all to strengthen the quality of service for their customers. We then witness a successful internal transformation, because it is thought out digitally, in line with the organization's strategy.
It's a real paradigm shift: we're no longer subject to technology, we're piloting it.
Laziness or more efficient work? The AI in question
But not everything is rosy. Some voices are being raised to denounce a growing dependence on artificial intelligence. What if, by dint of automating, we lost what is our strength: critical thinking, creativity, the ability to adapt?
Certainly, AI can make processes more efficient. But it can also lock us into passive routines where human thinking disappears behind algorithms. This is one of the paradoxes of the digital transition: it promises increased agility, while risking locking employees into assisted behaviors.
According to a study published by McKinsey (source), more than 60% of companies recognize that the integration of AI requires a massive increase in skills. And when this increase in skills is not guaranteed, employees develop passive reflexes. We click, we wait for it to turn.
The risks? A culture of automation, decisions made without analysis, and a dependence on technological tools without critical perspective.
The excesses of an inefficient use of AI
Certain excesses can threaten the quality of decisions and the motivation of teams:
- Unaccountability : we let the AI decide for us.
- Information saturation : too much data, too many signals... difficult to see clearly.
- Stiffening processes : paradoxically, too much technology can hinder innovation.
- Loss of know-how : if we automate everything, what is left of our expertise?
These excesses are not inherent to the tool, but linked to the transformation of corporate culture. The danger comes from poorly controlled use, or from an imposed deployment without support, without appropriate change management.
How do you stay effective without becoming dependent on AI?
The key is balance. A strategic use of AI requires a real reflection on the Management, user journeys, IT governance, and the place of digital technology in jobs. It is not enough to adopt new connected tools: they still need to be integrated in a coherent way.
“It's not technology that makes you lazy or efficient, but how we relate to it.”
To succeed in its transformation, a digital company must promote learning, accountability, and above all, keep people at the center of its ecosystem. AI must be managed in the same way as managing a transformation strategy, with clear indicators, support, and feedback from field experience.
What practices make the use of AI really effective?
Here are some ways to integrate AI in a healthy and efficient way:
- Train employees : understand algorithms, their limits, their uses. Increasing skills is essential to avoid blind automations.
- Digitize intelligently : prioritize uses with high added value. There's no need to scan everything.
- Involving the professions : each transformation project must be carried out by field teams, not only by CIOs.
- Measuring human impact : AI should improve working conditions, not dehumanize them.
- Encourage experimentation : testing tools in real conditions, adjusting, pivoting... Agility above all!
Boxes like Seedext also support companies in their digital transformation projects. Their consultants work hand in hand with business departments to co-build an effective, human, and sustainable transformation strategy.
FAQ — AI: Laziness in disguise or a really effective tool?
Is AI making us lazy?
It can... if it's used without thinking. It is the use that makes the difference.
Why is AI presented as an efficiency tool?
Because it reduces friction, automates repetitive tasks, improves planning, and strengthens decision making. It is a real driver of competitiveness.
Which jobs are the most affected by AI?
HR, customer relationships, project management, digital marketing, financial functions... but also field teams thanks to connected objects.
Is AI going to replace employees?
No It transforms roles, automates certain functions, but does not eliminate the need for human analysis. The transformation is mostly internal.
How to reconcile digital transformation and human efficiency?
With a clear digital strategy, agile governance, an IT department connected to business challenges, and change management designed for humans.
Can we digitize without altering corporate culture?
Yes, if we integrate digital technology as a support for company values, and not as an end in itself.
Should we be wary of tools that are too “smart”?
Yes, to a certain extent. You have to keep a critical eye on automatic recommendations. The machine helps, but it's up to the human to decide.
Is digital transformation still beneficial?
Not if it is imposed without support. To succeed in the transformation, it must be anchored in the reality on the ground, with shared objectives.
What is the place of consulting in this digital revolution?
The role of consultants is central. They make it possible to link strategy, management, and digital tools while maintaining a clear direction.
What are the indicators to measure whether AI is effective?
Productivity, employee satisfaction, return on investment, adoption rate, quality of decisions. All these KPIs must be linked to the transformation.
Conclusion: AI, a mirror of our uses
In the end, artificial intelligence is neither good nor bad. It is what we make of it. It can make us incredibly effective... or surprisingly passive. It all depends on how we integrate it.
👉 The challenge is therefore to succeed in its transformation without losing sight of the essential: the human, the vision, the balance. In this digital revolution, business managers, CIOs, consultants, managers... all have a role to play.
So, lazy or effective? It is up to everyone to choose sides — and to build a digital future where technology amplifies our intelligence, without replacing it.