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AI for all: How AI Agents are hyper-personalizing enterprise software

For a long time, technology has been trying to be accessible beyond those who know how to code. This process has slowly evolved, from low-level programming languages that are very hard to understand such as assembly to more "high-level" ones that are much more similar to natural language, such as Python. Now, we are breaking the barrier to maybe reach a full "natural language" process of coding. Tools like Cursor AI already have a market cap of $100M dollars, and the term "vibe coding" is getting more and more popularized.

Redefining Enterprise Organization for the Agentic Wave.

The rise of AI agents in enterprises unfolds at two levels: enhancing individual productivity through Task Agents and redefining collective workflows via Workflow Agents. While these innovations promise efficiency gains, they also introduce structural challenges. Without a well-orchestrated strategy, organizations risk an uncontrolled proliferation of agents and critical operational dependencies.

Vincent Luciani (Artefact), intelligence without artifice

AI may be making the headlines, but Vincent Luciani is keeping a relatively low profile. Yet his company, Artefact, is a true success story from which many entrepreneurs can draw inspiration. As a child, Vincent Luciani was passionate about chess. Although he often won against his little friends, he systematically lost out to the first artificial intelligences. “So, from an early age, I was confronted with AI,” smiles this pragmatist, for whom the best way to dominate it... is to create it. AI may be making the headlines, but Vincent Luciani is keeping a relatively low profile. Yet his company, Artefact, is a true success story from which many entrepreneurs can draw inspiration. As a child, Vincent Luciani was passionate about chess. Although he often won against his little friends, he systematically lost out to the first artificial intelligences. “So, from an early age, I was confronted with AI,” smiles this pragmatist, for whom the best way to dominate it... is to create it.

AI Trends to Look out for in 2025

As we enter 2025, artificial intelligence (AI) is transitioning from experimental research to real-world applications across industries. Below is a deeper dive into the critical trends shaping AI’s future, supported by relevant statistics and consumer-focused insights.

The Autonomy Dilemma: Humans, AI, and the Future of Work

If your boss asks you for a critical number, and you use your company’s “Ultra Secure Internal GPT” to retrieve the information—only for the result to be incorrect—whose fault is it? The answer, as we all know, is yours for failing to validate the output. This creates a paradox: while companies push AI to accelerate decision-making, they place ultimate responsibility for AI-driven outcomes on humans. The question then becomes: What is the sweet spot between AI autonomy and human oversight?

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