hugo, auteur/autrice sur The French Translator

16 June 2026

Why Operationalizing AI Is Much Harder Than Testing It

AI can produce an impressive demonstration in just a few days. A well-designed prompt, a limited set of content, and a motivated team are often enough to showcase promising results. Yet in multilingual localization, that initial success says very little about an organization’s ability to deploy the solution at scale. This is the essence of […]

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9 June 2026

Quiet Automation: Why the Most Mature AI Becomes Almost Invisible

In many organizations, AI was initially introduced as a highly visible layer: new interfaces, manual prompts, continuous testing, and human validation at every step. That phase served an important purpose. It helped teams explore use cases, identify potential gains, and build awareness around emerging capabilities. But as AI adoption matures, a limitation becomes increasingly clear: […]

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2 June 2026

Why Localization Is Becoming Product Infrastructure

Localization has long been treated as a final step: a product is built, content is written, and only then is it “sent for translation.” This sequential approach dominated for years, especially in organizations where product, marketing, and language teams operated in silos. That model no longer reflects the operational reality of SaaS companies and global […]

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26 May 2026

Why Governance Matters More Than the Model in AI Localization

In many organizations, the AI conversation still starts with a model question: which LLM to choose, what level of performance to expect, which provider to prioritize. In localization, that approach is too narrow. The real issue is not which model looks the most impressive today. The real issue is how to turn AI capabilities into […]

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19 May 2026

Smart Automation vs Blind Automation

Automation is now present in almost every multilingual content workflow. But a key question is emerging for marketing, product and localization teams: should everything be automated in the same way, with the same rules and the same level of quality expectations? The answer is, of course, no. In practice, the most mature organizations are not […]

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12 May 2026

Why More Automation Doesn’t Always Mean Better Automation

Automation is often presented as an obvious trajectory: more tools, more automated workflows, more volume processed, therefore more performance. On the ground, reality is more nuanced. Yes, AI and automation bring productivity and efficiency gains. But they can also degrade perceived quality, blur expectations, weaken client relationships and, in some cases, destroy value instead of […]

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5 May 2026

Why AI Localization Projects Rarely Fail for Technical Reasons

The promise is appealing: deploy AI in localization to increase speed, reduce costs, and handle larger volumes. Yet when a project underdelivers, the diagnosis is often too quick: blame the technology, the model quality, or the limits of automation. In practice, the root causes usually lie elsewhere. In localization, challenges stem less from the tools […]

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7 April 2026

Why Linguistic Governance Has Become an Executive-Level Issue

For a long time, language management in international companies was seen as an operational issue. A translation problem. A content workflow to handle. A matter of vendors and tools. That perspective is now outdated. Managing multilingual communication has become a strategic governance issue. In the most mature organizations, it is now discussed at the executive […]

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31 March 2026

When AI No Longer Creates Competitive Advantage

In recent years, artificial intelligence has been widely seen as a decisive accelerator. Companies that adopted AI faster than others appeared to gain a significant lead: faster production, lower costs, massive automation, and immediate scalability. But since late 2025, a new reality has gradually become clear: AI, by itself, no longer creates competitive advantage. Understanding […]

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