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Flowchart showing FDA digitalization process from English documentation through AI transformation to multilingual regulatory workflows for global markets including China, US, Spain and Brazil.

The Future of English as the Pharmaceutical Industry’s Lingua Franca

June 9, 2026

For half a century, English has served as the uncontested linguistic backbone of the global pharmaceutical industry. From the laboratory notebook to FDA submission, from the investigator brochure to the patient information leaflet, English has been the de facto language of drug development. This dominance, however, is no longer a given. Emerging economic pressures, rapid technological transformation, and the rise of China as an innovation powerhouse are collectively challenging the assumption that English will remain the industry’s sole operational language over the next 5–10 years.

The ascendancy of English is neither accidental nor merely cultural; it is a direct consequence of market economics and regulatory power. The US has long represented the world’s largest and most profitable pharmaceutical market, creating a powerful incentive for companies to conduct development programmes in a manner aligned with the expectations of the US Food and Drug Administration (FDA). The concentration of major pharmaceutical companies in English-speaking countries further cemented this dynamic [1]. Simultaneously, the historical predominance of English-language scientific publishing meant that researchers who did not publish in English risked invisibility [2].

This environment generated vast quantities of English-language documentation: protocols, investigator brochures, clinical study reports, regulatory submissions, safety reports, and standard operating procedures. Multinational organisations adopted English not by mandate but by practical necessity, enabling global clinical trials and regulatory interactions. For decades, this self-reinforcing cycle made English the indispensable lingua franca.

The Weakening US Profit Magnet

The most immediate threat to English’s dominance comes not from abroad but from within the US itself. Growing bipartisan political efforts to reduce domestic drug expenditures, through pricing reforms, reimbursement controls, and negotiation mechanisms for government health programmes, are gradually eroding the extraordinary profitability that once made the US market the undisputed centre of gravity. If US profitability becomes less dominant relative to other markets, the economic rationale for maintaining English as the sole operational language weakens substantially.

While the United States will most likely remain highly influential, its relative dominance is already being challenged by rapidly growing markets in Asia and Spanish-speaking regions. Furthermore, Brexit has diminished the regulatory and economic influence of the United Kingdom across Europe, removing one of the key English-speaking anchors on the continent. As capital and clinical trial activity flow toward regions with lower costs and faster patient recruitment, the linguistic centre of gravity is going to shift.

The Decline of the Document-Centric Era

Perhaps the most profound challenge to English’s position is technological. Historically, language served as the primary vehicle for transferring information across the drug development lifecycle. However, digitalisation, structured data capture, electronic health records, integrated clinical platforms, AI-assisted document generation, and automated regulatory workflows are rapidly reducing dependence on traditional narrative documentation [3][4][5].

Large language models and semantic-driven approaches are already being deployed to automate portions of clinical and regulatory writing, diminishing the operational advantage previously enjoyed by native English-speaking organisations [3][4]. As van der Schaar and colleagues have argued, artificial intelligence is poised to revolutionise clinical trials, shifting the focus from narrative documentation to end-to-end structured data systems [5]. In this emerging paradigm, linguistic barriers become far less significant than they were during the document-centric era.

Moreover, digital trial technologies and protocol optimisation tools are reducing the number of protocol amendments and simplifying development processes, thereby decreasing the overall documentation burden [6]. When fewer documents are required, the language in which those documents are written matters less. Machine translation and large language models further erode the residual advantages of English, enabling seamless multilingual workflows that were unimaginable a decade ago [2].

A Changing Linguistic Ecology

The most geopolitically significant challenge to English comes from China. Over 10 years ago, the Head of my son’s school announced that the future was ‘out-East’ and they would be dropping German for Mandarin. As you can see, English is not the only language: English ranks first because it is the dominant global second language, with over a billion people speaking it in addition to their native language. However, Mandarin Chinese has the largest number of native speakers and Hindi is growing due to India’s large and expanding population. Spanish remains one of the most widely spoken native languages across multiple continents.

Language Approx # Speakers Approx # Native Speakers Major Regions
1 English ~1.49 billion ~372 million Global; especially the UK, US, Canada, Australia, India, and many international contexts
2 Mandarin Chinese ~1.18 billion ~988 million China, Taiwan, Singapore, and Chinese diaspora communities
3 Hindi ~611 million ~347 million India, Nepal, and South Asian diaspora communities
4 Spanish ~561 million ~487 million Spain, Latin America, the United States, and elsewhere
5 Arabic* ~335 million Varies by dialect Middle East and North Africa

*Arabic is often counted differently because it comprises numerous regional varieties (Egyptian Arabic, Levantine Arabic, Gulf Arabic, etc.), while Modern Standard Arabic is primarily a learned written language.

Historically viewed as a manufacturing hub for generic medicines and active pharmaceutical ingredients, China has undergone a remarkable transformation into a source of innovative drug development [7][8][9][10]. Evidence now shows that China contributes a substantial and growing proportion of global clinical development activity and is increasingly generating novel therapeutic candidates rather than merely producing copies of existing drugs [7][9].

The implications of this shift away from the English language are profound and frequently underestimated. Unlike many countries that largely adapted to English for scientific communication, often out of necessity, China has maintained a strong institutional commitment to Mandarin across government, regulation, education, and business. This is not a minor preference but a deep-seated linguistic ecology. For non-Chinese. Mandarin’s tonal pronunciation and character-based writing system often requires substantially greater investment from adult learners. So, there aren’t going to be that many early adopters.

As Chinese pharmaceutical innovation expands, global organisations will increasingly need to engage with Chinese-language scientific literature, regulatory guidance, digital platforms, and commercial partnerships. The shift towards Asia is already being accelerated by speed advantages and lower regulatory barriers, influencing global drug development timelines and investment decisions. While the existing body of English-language scientific literature serves as a powerful anchor for English, technology could easily overcome this inertia. Machine translation, if sufficiently trusted and validated, could render the historical archive accessible in any language.

A Pluralistic Future

Taken together, these forces suggest that there not be a future lingua franca of the pharmaceutical industry. Rather, it is likely to be a hybrid system combining English, Mandarin, and machine-mediated translation technologies. Future pharmaceutical professionals, particularly medical writers, regulatory affairs specialists, and clinical researchers, may require either direct bilingual capabilities or, more probably, fluency in working with AI-assisted multilingual workflows.

This evolution will have a significant impact on medical writing as a professional skill. Our premium will shift from flawless English prose to the ability to manage information quality, regulatory coherence, and cross-linguistic consistency using digital tools. Medical writers who can operate effectively across English and Chinese scientific ecosystems, augmented by AI, will be those who hold a distinct competitive advantage.

Conclusion

English is not going to disappear as the language of global pharmaceuticals any time soon. The installed base of English-language documentation, regulatory precedent, and scientific literature is too vast to be disregarded. Equally, although English is far from easy, with its inconsistent spelling, vast vocabulary, and reliance on idiom, it can generally be learned to a functional professional level (I am told more quickly than Mandarin). However, its unquestioned dominance is likely to gradually evolve into a more pluralistic system, driven by digital technologies, distributed innovation, and the growing influence of China.

The future competitive advantage in pharmaceutical development is likely to lie less in fluency in a single language and more in the ability to operate effectively across multilingual, AI-enabled scientific ecosystems. For an industry built on global collaboration, that may prove to be not a threat, but an opportunity (particularly if you can manage tonal languages).

References

  1. Ramírez-Castañeda V. Disadvantages in preparing and publishing scientific papers caused by the dominance of the English language in science: The case of Colombian researchers in biological sciences. PLoS One. 2020;15(9):e0238372.
  2. Montgomery SL. Does Science Need a Global Language? English and the Future of Research. Chicago: University of Chicago Press; 2013.
  3. Wu J, et al. A semantic-driven approach for maintenance digitalization in the pharmaceutical industry. 2023.
  4. Zheng Y, et al. Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. 2024.
  5. van der Schaar M, et al. Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation. 2025.
  6. Getz KA, et al. Measuring the incidence, causes, and repercussions of protocol amendments. Contemp Clin Trials. 2011;45(3):265–275.
  7. Barwick PJ, Xia H, Xia T. From Free Rider to Innovator: The Rise of China's Drug Development. National Bureau of Economic Research Working Paper No. 34977. 2026.
  8. Ni J, et al. Obstacles and opportunities in Chinese pharmaceutical innovation. Global Health. 2017;13:21.
  9. Tan R, et al. Current landscape of innovative drug development and regulatory support in China. Signal Transduction and Targeted Therapy. 2025;10:220.
  10. Shi YZ, Hu H, Wang C. Contract Research Organizations in China: integrating Chinese research and development capabilities for global drug innovation. Global Health. 2014;10:78.

About the author

Tim Hardman
Managing Director
LinkedIn logo - blue square with white 'in' textView profile
Dr Tim Hardman is the Founder and Managing Director of Niche Science & Technology Ltd., the UK-based CRO he established in 1998 to deliver tailored, science-driven support to pharmaceutical and biotech companies. With 25+ years’ experience in clinical research, he has grown Niche from a specialist consultancy into a trusted early-phase development partner, helping both start-ups and established firms navigate complex clinical programmes with agility and confidence.

Tim is a prominent leader in the early development community. He serves as Chairman of the Association of Human Pharmacology in the Pharmaceutical Industry (AHPPI), championing best practice and strong industry–regulator dialogue in early-phase research. He ia also a Board member and ex-President of the European Federation for Exploratory Medicines Development (EUFEMED) from 2021 to 2023, promoting collaboration and harmonisation across Europe.

A scientist and entrepreneur at heart, Tim is an active commentator on regulatory innovation, AI in clinical research, and strategic outsourcing. He contributes to the Pharmaceutical Contract Management Group (PCMG) committee and holds an honorary fellowship at St George’s Medical School.

Throughout his career, Tim has combined scientific rigour with entrepreneurial drive—accelerating the journey from discovery to patient benefit.

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