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Advancing technology, AI and international blogs/websites/podcasts

I try to be respectful regarding the intentions and practices of this blog for polyglots. It is not always easy finding solutions and approaches that serve the needs of many. My recent attempts to generate podcasts in different languages ran into technical snags resulting in all the podcasts being in spoken English despite the content referred to being in other languages. This makes the international blog very English-centric. But then again, English is the new lingua franca which everyone wants to learn and use. But that does not serve English-speakers looking to learn by listening to podcasts in foreign languages, nor foreign-language speakers who do not understand spoken English.

Here is my current evaluation of some of the issues and challenges in  regards to multilingual blogging:

These experiences highlight a deeper issue that many multilingual creators are beginning to encounter: modern publishing tools are evolving rapidly, but they are still fundamentally designed around monolingual assumptions. An international blog for polyglots is not merely “a blog in several languages.” It becomes a constantly shifting ecosystem involving translation systems, AI narration, SEO, accessibility, user expectations, and platform limitations — all interacting in unpredictable ways.

The WordPress podcast issue is a perfect example. The system assumes that one website equals one primary spoken language. That assumption works well for ordinary blogs, but it breaks down for polyglots whose content intentionally moves between languages. In practice, multilingual creators are trying to use tools designed for national audiences in order to serve transnational and multilingual communities.

Several major challenges emerge from this.

First, there is the problem of language identity. A multilingual website rarely has a single linguistic center. A post may be written in Portuguese, summarized in English, discussed in Norwegian, and tagged for learners of Japanese. Current AI systems often expect one dominant language setting for the entire environment. This creates friction whenever content becomes fluid and multilingual.

Second, there is the issue of automation versus authenticity. AI-generated podcasts, translations, subtitles, and summaries save enormous amounts of time, but they also introduce risks. Pronunciation errors, awkward intonation, incorrect stress patterns, and culturally strange phrasing can make listeners feel alienated rather than welcomed. For polyglots especially, language is emotional and identity-based. Poor AI pronunciation in a foreign language can feel more distracting or even disrespectful than simply using English as a neutral lingua franca.

Third, there is the maintenance problem. Polyglots consume and produce content asymmetrically. Very few people read, write, speak, and listen equally well across six or more languages. Someone may comfortably write essays in English while preferring podcasts in Spanish and reading literature in German. That means a truly international blog must often provide different modes of access depending on the language:

• written articles in one language,
• summaries in another,
• podcasts in a third,
• subtitles or transcripts in several more.

This dramatically increases complexity. A single post can become an entire multilingual production pipeline.

Technology is helping, but it also accelerates expectations. Readers increasingly assume instant translation, audio narration, automatic subtitles, searchable transcripts, and cross-language discoverability. Yet most publishing systems are still catching up. Features advertised as “AI-powered multilingual support” are often optimized for businesses translating marketing content into two or three major languages — not for genuine multilingual communities or language learners.

There is also a strategic tension between English and linguistic diversity. English dominates because it functions as the modern global bridge language. Using English podcasts may maximize reach and simplify production. But this creates a paradox for polyglot creators:

• English expands accessibility globally,
• while non-English content deepens authenticity and language-learning value.

A multilingual creator therefore faces an impossible balancing act between efficiency, inclusivity, authenticity, discoverability, and personal energy.

Ironically, AI may both worsen and solve this problem. Right now, systems are fragmented:

• one tool handles translation,
• another handles narration,
• another handles SEO,
• another handles subtitles,
• another handles multilingual indexing.

But future AI ecosystems will likely become context-aware rather than site-language-aware. Instead of assuming one website language, they may detect the language of each individual post, paragraph, or even sentence. AI voices may eventually adapt pronunciation dynamically based on linguistic context and intended audience.

At that point, multilingual blogging could become far more natural:

• one article,
• multiple synchronized language versions,
• selectable audio narration,
• adaptive pronunciation,
• personalized learner modes,
• automatic vocabulary support.

Until then, polyglot creators remain pioneers navigating systems that were not fully designed for them.

Constantly switching site-wide language settings risks conflicts with plugins, caching, translations, metadata, and indexing. Waiting for WordPress to implement proper per-podcast language selection is probably the more sustainable long-term solution.

In a way, this particular experience illustrates a broader truth about rapidly advancing technology: AI tools are progressing faster than the infrastructure and assumptions surrounding them. The tools can generate multilingual content astonishingly well, but the ecosystems managing that content still lag behind. Polyglot creators stand directly at that frontier.

— Adam Donaldson Powell