Shadowing Practice: The Global Power Play - Learn English Speaking with Video
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Hello, and welcome to another edition of Wealth Management Insights.
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I'm Renato Granmont, Chief Investment Strategist for International Wealth Management at Morgan Stanley. Today is Tuesday, August fourth, twenty twenty-six, and I'm recording this from Purchase, New York.
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Artificial intelligence has already transformed the conversation around technology and productivity. But as we look ahead, one of the biggest constraints on AI may have nothing to do with software or semiconductors.
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It may be electricity, and energy speed, to be more specific, the ability to permit, finance, build, interconnect, and deliver reliable electricity.
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That's the central conclusion of our latest Global Insights Strategy report, the Global AI Race: Energy Implications, which examines how the competition for AI leadership is reshaping energy markets, infrastructure investment, and economic leadership around the world.
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For much of the past several years, investors were focused on AI through the lens of chips, cloud computing, and large language models.
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Those remain essential considerations.
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Yet, as AI adoption accelerates, another reality is coming into focus.
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Every new model, every data center, and every AI application ultimately depends on reliable power sources.
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The numbers help explain why.
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Global electricity demand could rise by as much as forty to fifty percent by twenty thirty-five due to increased demand from electric vehicles, data centers, air conditioning, and industrialization, among other things.
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Data center electricity consumption is projected to climb even faster, rising two hundred and seventy-five percent between twenty twenty-five and twenty thirty-five.
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At the same time, the number of data centers worldwide is expected to expand by roughly eleven thousand four hundred today to about fifteen thousand by twenty thirty.
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Building AI, in other words, means building a greater deal more energy infrastructure too.
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That led us to what we believe is one of the defining concepts of the next decade: energy speed. Energy speed is the ability to permit, finance, construct, connect, and deliver reliable electricity.
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Countries that can do those things efficiently are likely to gain an important competitive advantage, while countries that cannot may find power shortages, transmission bottlenecks, and construction delays become constraints on economic growth.
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Today, the United States holds the strongest position.
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It combines leadership in AI with abundant natural gas resources, deep capital markets, and the world's largest hyperscaler ecosystem.
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US also accounts for roughly seventy-five percent of observed global AI compute and nearly fifty-four gigawatts of installed data center IT capacity.
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China remains the primary challenger, supported by rapid infrastructure development and industrial policy.
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Europe retains considerable strengths, but continues to face higher electricity costs, lengthy permitting processes, and constrained transmission capacity.
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Meanwhile, countries such as the UAE and Saudi Arabia are emerging as attractive locations for AI infrastructure because of low-cost energy and faster project approvals.
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Together, these regional differences suggest that the AI race is becoming less about access to algorithms and more about access to infrastructure.
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Competitive advantage will depend on how quickly countries can translate capital and dependable energy capacity.
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Meeting this demand will require more than one source of power.
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Solar and wind should account for much of the new generating capacity.
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Battery storage will help improve grid reliability.
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Natural gas remains the fastest scalable source of dispatchable power, particularly in the United States, while advanced nuclear could become a more important contributor during the next decade.
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Expanding transmission networks may prove just as important as building new power plants.
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For investors, this broadens the opportunity well beyond the technology sector.
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We see potential across utilities, transmission infrastructure, grid equipment, natural gas and LNG, nuclear development, data centers with secured power, and the commodities needed to expand electrical networks.
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Bloomberg estimates that global energy investment could total between a hundred and eighty-nine trillion dollars and two hundred and thirty-five trillion dollars by twenty fifty, highlighting the scale of this build-out.
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These opportunities won't be distributed evenly.
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Markets with abundant energy resources, efficient permitting frameworks, and access to capital may be better positioned to benefit from the next phase of AI infrastructure investment.
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Ultimately, AI may be the catalyst, but investment opportunity extends much further.
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The global race to expand power generation, modernize electricity grids, and build supporting infrastructure is creating a long investment cycle that reaches well beyond the technology sector.
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As the competition for AI leadership becomes a competition for energy capacity and infrastructure, we believe investors should pay close attention to the countries and industries building the physical foundation of the new wave of global growth.
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Thank you for listening.
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For more information, please reach out to a Morgan Stanley financial advisor and request the latest copy of Global Insight Strategy: Global AI Race, Energy Implications.
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Bu dersin kelimeleri ve konuşma notları
Bu C1 seviyesindeki konuşma dersi “The Global Power Play” videosuna dayanıyor. En çok tekrarlanan kelimeler: energy, infrastructure, global, twenty, electricity. Bu videoda gölgeleme çalışması için 39 cümle ve 782 kelime var. Konuşma bölümü 6:19 sürüyor. Konuşmacı dakikada yaklaşık 124 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin yalnızca %77’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 |
|---|---|---|
| investor isim | /ɪnˈvɛs.tə(ɹ)/ | yatırımcı, sermayedar |
| compute fiil | /kəmˈpjuːt/ | hesaplamak |
| constraint isim | /kənˈstɹeɪnt/ | kısıtlama, sınırlama |
| abundant sıfat | /əˈbʌn.dənt/ | bol, çok |
| broaden fiil | [ˈbɹɔː.dn̩] | genişletmek |
| constrain fiil | /kənˈstɹeɪn/ | zorlamak |
| dependable sıfat | [dɪˈpɛndəbəɫ] | güvenilir, itimada şayan |
| industrialization isim | /ɪnˌdʌstɹɪəlɪˈzeɪʃən/ | sanayileşme, endüstrileşme |
| semiconductor isim | /ˌsɛmikənˈdʌktə/ | yarı iletken |
| accelerate fiil | /ɪkˈsɛl.əˌɹeɪt/ | hızlandırmak |
| catalyst isim | /ˈkæt.ɪ.lɪst/ | katalizör, tezgen |
| ecosystem isim | /ˈikoʊˌsɪstəm/ | ekosistem |
| distribute fiil | /dɪˈstɹɪbjuːt/ | dağıtmak, paylaştırmak |
| lengthy sıfat | upuzun | |
| commodity isim | /kəˈmɑdəti/ | mal, emtia |
Dikkat edilecek telaffuzlar
Konuşmacı I'm, won't gibi kısaltılmış biçimleri 3 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: industrialization /ɪnˌdʌstɹɪəlɪˈzeɪʃən/, reshape /ɹiːˈʃeɪ̯p/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- Uzun kelimeler — vurguyu doğru yere koyun: dependable [dɪˈpɛndəbəɫ], industrialization /ɪnˌdʌstɹɪəlɪˈzeɪʃən/, interconnect /ˌɪn.tə.kəˈnɛkt/, semiconductor /ˌsɛmikənˈdʌktə/, accelerate /ɪkˈsɛl.əˌɹeɪt/
Türkçe konuşanların zorlandığı sesler:
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: broaden [ˈbɹɔː.dn̩], scalable /ˈskeɪ.lə.bl̩/, translate /tɹænzˈleɪt/, transform /tɹænsˈfɔɹm/
- /æ/ — “e”den daha açık: challenger /ˈt͡ʃælənd͡ʒəɹ/, catalyst /ˈkæt.ɪ.lɪst/, translate /tɹænzˈleɪt/, advisor /ædˈvaɪ.zə(ɹ)/, algorithm /ˈælɡəɹɪðm̩/
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; investor, compute, constraint 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.