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考研四六级英语双语精读题源FT金融时报|"镐与铲"企业瓜分AI盛宴

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考研四六级英语双语精读题源FT金融时报|"镐与铲"企业瓜分AI盛宴
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英文:'Picks and shovels' groups claim slice of AI pie 

中文:"镐与铲"企业瓜分AI盛宴

📰 来源:Financial Times    📅 日期:2026.6.15 

📝 词数:约 430 words       ⭐ 难度:★★★★


第一段:淘金热逻辑—AI繁荣惠及工业"镐铲供应商"

英文原文

The boom in artificial intelligence is lifting the fortunes of hundreds of formerly drab industrial, utility and mining groups as investors turn to the "picks and shovels" needed to build and power vast data centres.

中文翻译

人工智能的繁荣正在改变数百家昔日平淡无奇的工业、公用事业和矿业集团的命运,因为投资者将目光投向了建造和驱动大规模数据中心所需的"镐与铲"。


第二段:数据说话—200余家公司跑赢全球大盘

英文原文

More than 200 public companies — from makers of jet engines to air conditioning — that are linked to supply chains for data centres or semiconductors have outperformed the MSCI World Index, which rose more than 21 per cent over the year ending June 9, according to FT research. This takes into account the sell-off that hit technology and AI-linked stocks just over a week ago amid fears of interest rate increases.

中文翻译

据《金融时报》研究,与数据中心或半导体供应链相关的逾200家上市公司—从喷气发动机制造商到空调制造商—均跑赢了截至6月9日一年内上涨逾21%的MSCI全球指数。这一统计已将一周多前因利率上升担忧而引发的科技股和AI相关股的抛售潮因素纳入考量。


第三段:受益企业点名—百年老企焕发新生

英文原文

The companies benefiting include Caterpillar, best known for construction equipment but now supplying generators for data centres, 150-year-old German engineering company Hochtief, which will enter the Dax later this month, and Nucor, a steel supplier that has credited "white hot" AI demand for a "tsunami of earnings power".

中文翻译

受益企业包括:以工程机械闻名、如今转型为数据中心供应发电机的卡特彼勒;即将于本月晚些时候进入德国DAX指数的150年历史德国工程公司霍克蒂夫;以及钢铁供应商纽柯—该公司将AI需求形容为"白热化",并称其带来了"盈利能力的海啸"。


第四段:福特汽车押注数据中心储能

英文原文

Meanwhile, Ford Motors' share price surged a fifth last month after it announced it would pivot its electric vehicle business to focus on battery storage for data centres. The move highlighted how companies from outside the traditional technology sector are reshaping their strategies to ride the AI infrastructure wave.

中文翻译

与此同时,福特汽车上月宣布将把电动汽车业务转向聚焦数据中心储能后,其股价单月飙升五分之一。这一举动凸显出传统科技行业以外的企业正如何重塑自身战略,以搭乘AI基础设施浪潮。


第五段:AI价值链延伸至物理基础设施

英文原文

The figures underline how investors looking to capitalise on AI are increasingly looking beyond chips, memory and software to the companies behind the vast physical build-out supporting its development and use. Analysts say this shift mirrors the classic "picks and shovels" dynamic of the 19th-century gold rush, where the true fortunes were made not by prospectors but by those selling tools and supplies.

中文翻译

这些数据表明,希望从AI中获益的投资者正越来越多地将视野从芯片、内存和软件延伸至支撑AI发展与应用的庞大物理基础设施背后的企业。分析人士指出,这一转变与19世纪淘金热中经典的"镐与铲"逻辑如出一辙—真正的财富并非由淘金者,而是由那些出售工具和物资的人所创造。


📚 词汇词组

1. picks and shovels /pɪks ənd ˈʃʌvəlz/ n. (idiomatic)

① 镐与铲(字面) ② 基础工具供应商;投资于基础设施而非终端产品的策略(比喻)

例句:Savvy investors have adopted a "picks and shovels" strategy, buying industrial suppliers rather than chasing AI software companies directly.


2. drab /dræb/ adj.

① 单调乏味的,平淡无奇的 ② 暗淡的,无光彩的

例句:Once considered drab utility companies, power grid operators have become some of the hottest stocks of the AI era.


3. outperform /ˌaʊtpəˈfɔːm/ v.

① 表现优于,超越(尤指股票或基金业绩) ② 比……做得更好

例句:More than 200 companies linked to data centre supply chains have outperformed the MSCI World Index over the past year.


4. sell-off /ˈsel ɒf/ n.

① (股票等的)大规模抛售,暴跌 ② 清仓甩卖

例句:Despite a brief sell-off triggered by interest rate fears, AI infrastructure stocks quickly recovered their losses.


5. pivot /ˈpɪvət/ v./n.

① 转向,转型(商业策略)(v.) ② 核心,关键(n.) ③ 旋转,枢轴(n.)

例句:Ford's decision to pivot its EV business toward battery storage for data centres sent its share price surging.


6. capitalise on /ˈkæpɪtəlaɪz ɒn/ v.

① 从……中获益,利用……谋利 ② 把握……机会

例句:Investors are capitalising on the AI boom by targeting the industrial suppliers behind data centre construction.


7. build-out /ˈbɪld aʊt/ n.

① 大规模建设,基础设施扩张 ② 扩建,配套建设

例句:The physical build-out of AI infrastructure — from data centres to power grids — is creating enormous demand for industrial goods.


8. prospector /ˈprɒspektər/ n.

① 勘探者,矿产探勘者 ② 淘金者(历史)

例句:Like 19th-century gold rush prospectors, many investors chasing AI hype may be outshone by those quietly supplying the tools.


✍️ 写作句总结

原句

The boom in artificial intelligence is lifting the fortunes of hundreds of formerly drab industrial, utility and mining groups as investors turn to the "picks and shovels" needed to build and power vast data centres.

结构抽象

The boom in [领域] is lifting the fortunes of [受益群体] as [行为主体] turn to the [核心驱动因素] needed to [目标动作].

造句示范

The boom in renewable energy is lifting the fortunes of hundreds of formerly overlooked cable and transformer manufacturers as utilities turn to the grid upgrades needed to transmit and distribute clean power at scale.

长难句分析

The boom in artificial intelligence is lifting the fortunes of hundreds of formerly drab industrial, utility and mining groups as investors turn to the "picks and shovels" needed to build and power vast data centres.

  • 主干:The boom in artificial intelligence is lifting the fortunes of hundreds of groups 主语 = The boom in artificial intelligence 谓语 = is lifting(现在进行时,强调正在持续发生的趋势) 宾语 = the fortunes of hundreds of formerly drab groups

  • 状语从句(as 引导,表示背景/伴随):as investors turn to the "picks and shovels" needed to build and power vast data centres 随着投资者转向建造和驱动大规模数据中心所需的"镐与铲"

  • 后置定语(过去分词短语修饰 picks and shovels):needed to build and power vast data centres 补充说明"镐与铲"的用途

  • 理解要点: "lift the fortunes of" 是财经英语高频表达,意为"改变……的命运/提振……的业绩"; "picks and shovels" 是金融术语,指投资于一个行业的基础设施供应商而非直接投资该行业本身,典出19世纪美国淘金热; formerly drab 两词组合犀利,formerly(昔日)+ drab(乏味),高度浓缩了工业股在AI时代之前的形象


📝 阅读理解

题目:According to the passage, what is the main reason industrial and utility companies are benefiting from the AI boom?

A. They have developed their own AI software products to compete with tech giants B. They are part of the supply chains that build and power the physical infrastructure AI requires C. They received direct government subsidies to support the AI industry D. They benefited from a broad market rally following the recent sell-off in tech stocks

答案解析

✅ 正确答案:B

❌ 选项A:错误。文章中的卡特彼勒、霍克蒂夫、纽柯等企业均属于工程机械、建筑和钢铁行业,文章并无任何关于它们开发AI软件的内容。

❌ 选项C:错误。文章完全基于市场层面的逻辑,未提及任何政府补贴。

❌ 选项D:错误。文章明确指出这200余家公司是在"考虑了科技股抛售潮的情况下"仍跑赢大盘,并非依赖大盘普涨。

✅ 选项B:正确。文章的核心论点就是这些企业是数据中心供应链的一部分,提供建造和运营AI基础设施所需的实体产品(发电机、钢铁、储能等),即"picks and shovels"逻辑。


📖 全文概括

中文段落大意

第一段:引出核心主题—AI热潮正惠及数百家昔日平淡的工业、能源和矿业企业,因为它们正是建造和驱动大规模数据中心的"镐与铲"供应商。

第二段:以数据支撑论点—逾200家与数据中心或半导体供应链相关的上市公司,在科技股经历抛售潮的背景下,仍跑赢了MSCI全球指数。

第三段:具体点名受益企业—卡特彼勒(发电机)、霍克蒂夫(工程建筑)、纽柯(钢铁),均以不同方式受益于AI基础设施建设浪潮。

第四段:呈现典型转型案例—福特汽车将电动汽车业务转向数据中心储能,股价单月飙升五分之一,凸显传统企业主动拥抱AI基础设施趋势。

第五段:升华投资逻辑—AI价值链正从软件和芯片延伸至物理基础设施,与19世纪淘金热中的"镐与铲"哲学一脉相承,真正的财富属于工具供应者。

英文全文总结

This Financial Times article reveals how the AI investment boom is creating unexpected winners among traditional industrial companies. Over 200 public firms tied to data centre supply chains — including construction equipment makers, steel suppliers and utilities — have outperformed global equity benchmarks, even after factoring in a recent tech sell-off. Companies such as Caterpillar, Germany's Hochtief and steel producer Nucor are thriving by supplying the physical components AI infrastructure demands. Ford's dramatic pivot to data centre battery storage further illustrates how non-tech companies are repositioning around AI. The article frames this as a classic "picks and shovels" dynamic: just as the real money in the 19th-century gold rush went to tool sellers rather than prospectors, AI's biggest infrastructure beneficiaries may be the unglamorous companies quietly building the physical backbone of the digital future.


🎯 打卡作业

请翻译以下划线句:

"The figures underline how investors looking to capitalise on AI are increasingly looking beyond chips, memory and software to the companies behind the vast physical build-out supporting its development and use."

💬 在评论区留下你的翻译,下期公布参考答案!


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  1. CONNECT:[ UseTime:0.001190s ] mysql:host=127.0.0.1;port=3306;dbname=i_sjds;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.001190s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.003685s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000590s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001175s ]
  6. SELECT * FROM `set` [ RunTime:0.000580s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.001931s ]
  8. SELECT * FROM `article` WHERE `id` = 462710 LIMIT 1 [ RunTime:0.006704s ]
  9. UPDATE `article` SET `lasttime` = 1781780148 WHERE `id` = 462710 [ RunTime:0.014209s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 66 LIMIT 1 [ RunTime:0.005100s ]
  11. SELECT * FROM `article` WHERE `id` < 462710 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.018216s ]
  12. SELECT * FROM `article` WHERE `id` > 462710 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.000521s ]
  13. SELECT * FROM `article` WHERE `id` < 462710 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.004838s ]
  14. SELECT * FROM `article` WHERE `id` < 462710 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.000858s ]
  15. SELECT * FROM `article` WHERE `id` < 462710 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.001172s ]
0.217293s