Shadowing Practice: Labour force reskilling in AI age | Vietnam Today - Learn English Speaking with Video
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Vietnam's labor market continues to show positive signs in 2026,
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with nearly 50,000 jobs created in Hanoi in the first quarter and unemployment remaining below 3%.
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But as the job market evolves, new challenges are emerging.
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Definitely.
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And one of the main drivers of this challenge has got to be artificial intelligence.
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And as workers are under growing pressure to adapt to new technologies, Reskilling is becoming essential to staying competitive in the AI age.
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So now let's take a closer look.
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He's clicking loudly.
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Bing carefully rewrites his CV, refining every line and polishing each bullet point in search of something that stands out.
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But behind the effort, a quiet concern lingers.
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As I prepare for graduation, I feel quite worried because AI is increasingly capable of replacing many language-related tasks,
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including translation and interpretation.
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Besides improving professional knowledge, I also need to develop soft skills and gain more practical experience, especially in communication and presentation.
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As A-Agen transforms the workplace, employers are increasingly prioritizing adaptable skill sets over traditional qualifications.
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People start switching from the degree-based hiring into skills-based hiring.
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People don't look into the role as the job title like before, but they look for the skill set.
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And sometimes the combination of the skill set can, you know, setting up a new role that people never seen it before.
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And this is very interesting that it makes all of us go beyond the limit.
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LinkedIn data suggests that around 20.8% of jobs in Vietnam could be exposed to generative AI, with experts warning the key challenge is now whether workers can
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be re-skilled fast enough to keep up with rapid labor market changes.
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Since 2024, AI has been one of the company's key strategic programs.
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Our company has introduced mandatory AI training programs for all employees, covering AI fundamentals, practical applications, and prompting techniques.
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Beyond technical skills, the company also focuses on helping employees embrace change, build confidence in using AI, and apply the technology responsibly.
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We are developing new workflows that enable people and AI to work together more effectively.
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The World Economic Forum's Future of Jobs Report 2025 warns that around 39% of core skills will change, highlighting a rapid shift in labor market demands.
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As a result, Reskilling and continuous adaptation are becoming essential, with workers increasingly expected not just to use AI, but to manage it effectively.
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And we have just seen how workers and employers alike are adapting to the AIH.
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But AIH is one aspect of a much broader transformation taking place in the labor market.
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So what more can be done to help workers adapt and thrive?
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To find out, our reporter spoke with Mr. Felix Waden-Kalb, Employment and Labor Market Policy Specialist at the International Labor Organization, or ILO.
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Thank you Mr. Felix for joining our interview today.
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Thank you very much for having me.
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The LinkedIn data reveals a strong massive demand for high skilled labour, yet Vietnam has a low percentage of certified workers.
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From the ILO's perspective, how can Vietnam create a national framework for lifelong learning
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that allows older or low skilled workers to reskill without losing their livelihoods?
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It's very important for Vietnam to, for a national framework, to move towards more flexible pathways that could include modular courses,
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online and blended learning, apprenticeships, work-based learning.
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Today, I would like to highlight actually the recognition of prior learning.
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Many workers in Vietnam already have skills that they obtained, be it through the family business.
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Economic upgrading also means reskilling workers, and that will need very practical support not only for the younger generation of workers but throughout the life cycle.
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What is the ILO's stance on ensuring a human in command approach?
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The recent ILO brief on Gen AI and jobs in Vietnam shows
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that actually around 20.8% of the total employment in Vietnam is potentially exposed to Gen AI.
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But it is only 1.8% of this total employment that is most exposed to the risk of automation.
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Human in command from an ILO perspective means that workers themselves, but also the organization representing workers,
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trade union, involved even before AI systems are introduced.
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This should allow workers to be able to move more to more productive jobs,
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but while also supporting workers that are currently in heavily exposed jobs to Gen AI.
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And how can the LLO and the Vietnamese government collaborate to ensure gender-responsive employment policies in these digital sectors,
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preventing a digital gender gap and ensuring that women have equal access to these high-value roles identified in this data?
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Tackling a digital gender gap needs to take a more holistic
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gender responsive approach in Vietnam where women account for 55.5% of the total employment exposed to Gen AI.
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One key priority can also be that young women and girls have access to and to STEM programs,
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ensuring that there's no discrimination and more actually more gender responsive action in the workplace that enables.
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also willing to flourish in technology-oriented jobs in the future.
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Thank you for your insights.
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Thank you very much.
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Bu dersin kelimeleri ve konuşma notları
Bu B2 seviyesindeki konuşma dersi “Labour force reskilling in AI age” videosuna dayanıyor. En çok tekrarlanan kelimeler: workers, Vietnam, skill, labor, exposed. Bu videoda gölgeleme çalışması için 57 cümle ve 842 kelime var. Konuşma bölümü 6:02 sürüyor. Konuşmacı dakikada yaklaşık 140 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin yalnızca %78’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| expose fiil | /ɪkˈspoʊz/ | açığa çıkarmak |
| adapt fiil | /əˈdæpt/ | uydurmak, adapte etmek |
| workplace isim | /ˈwɝkˌpleɪs/ | iş yeri |
| adaptable sıfat | /əˈdæptəbəl/ | uyumlu |
| apprenticeship isim | /əˈpɹɛn.tɪs.ʃɪp/ | çıraklık |
| holistic sıfat | /hoʊˈlɪs.tɪk/ | bütünsel, bütünselci |
| linger fiil | /ˈlɪŋɡɚ/ | durmak, oyalanmak |
| prioritize fiil | /pɹaɪˈɒɹ.ə.taɪz/ | önceliklendirmek |
| workflow isim | /ˈwɝkfloʊ/ | iş akışı |
| collaborate fiil | /kəˈlæb.ə.ɹeɪt/ | birlikte çalışmak |
| thrive fiil | /θɹajv/ | gelişmek, inkişaf etmek |
| pathway isim | /ˈpæθˌweɪ/ | patika, yolak |
| loudly zarf | /ˈlaʊdli/ | sesli sesli, seslice |
| automation isim | /ˌɔ.təˈmeɪ.ʃən/ | otomasyon |
| blend fiil | /blɛnd/ | karışmak |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| find out fiil | anlamak, ortaya çıkarmak |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | could be exposed · can be done · is potentially exposed |
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | has been · has introduced · have just seen |
Dikkat edilecek telaffuzlar
- “th” sesleri: thrive /θɹajv/, pathway /ˈpæθˌweɪ/
- “sh” ve “zh” sesleri: apprenticeship /əˈpɹɛn.tɪs.ʃɪp/, flourish /ˈflʊ̈ɹ.ɪʃ/, automation /ˌɔ.təˈmeɪ.ʃən/, qualification /ˌkwɑlɪfɪˈkeɪʃən/, adaptation /ˌæd.æpˈteɪ.ʃən/
- Uzun kelimeler — vurguyu doğru yere koyun: adaptable /əˈdæptəbəl/, apprenticeship /əˈpɹɛn.tɪs.ʃɪp/, generative /ˈd͡ʒɛnəɹətɪv/, prioritize /pɹaɪˈɒɹ.ə.taɪz/, collaborate /kəˈlæb.ə.ɹeɪt/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: workplace /ˈwɝkˌpleɪs/, workflow /ˈwɝkfloʊ/, pathway /ˈpæθˌweɪ/, qualification /ˌkwɑlɪfɪˈkeɪʃən/, warn /woɹn/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: prioritize /pɹaɪˈɒɹ.ə.taɪz/, flourish /ˈflʊ̈ɹ.ɪʃ/, thrive /θɹajv/, prompt /pɹɑmpt/, qualification /ˌkwɑlɪfɪˈkeɪʃən/
- /æ/ — “e”den daha açık: adapt /əˈdæpt/, adaptable /əˈdæptəbəl/, collaborate /kəˈlæb.ə.ɹeɪt/, pathway /ˈpæθˌweɪ/, adaptation /ˌæd.æpˈteɪ.ʃən/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; expose, adapt, workplace gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.