AI时代中国制造业如何突破技术瓶颈

从宏观政策层面来看，国家已出台多项措施支持制造业数智化转型。

Cóng hóngguān zhèngcè céngmiàn lái kàn, guójiā yǐ chūtái duō xiàng cuòshī zhīchí zhìzàoyè shùzhìhuà zhuǎnxíng.

From a macro policy perspective, the country has introduced multiple measures to support the digital and intelligent transformation of the manufacturing industry.

从技术突破的角度来看，AI算法和工业互联网是关键领域。

Cóng jìshù tūpò de jiǎodù lái kàn, AI suànfǎ hé gōngyè hùliánwǎng shì guānjiàn lǐngyù.

From the perspective of technological breakthroughs, AI algorithms and industrial internet are key areas.

智能制造不仅降低了对传统熟练工的依赖，更缩短了从设计到交付的周期。

Zhìnéng zhìzào bùjǐn jiàngdī le duì chuántǒng shúliàngōng de yīlài, gèng suōduǎn le cóng shèjì dào jiāofù de zhōuqī.

Smart manufacturing not only reduces reliance on traditional skilled workers, but also shortens the cycle from design to delivery.

中国制造业不仅要实现规模领先，更要在核心技术领域实现自主创新。

Zhōngguó zhìzàoyè bùjǐn yào shíxiàn guīmó lǐngxiān, gèng yào zài héxīn jìshù lǐngyù shíxiàn zìzhǔ chuàngxīn.

China's manufacturing industry not only needs to lead in scale, but also to achieve independent innovation in core technology areas.

这种局面被称为“中等技术陷阱”——即一个国家在从低端制造向高端制造攀升的过程中，由于关键核心技术受制于人，陷入“引进—落后—再引进”的循环。

Zhè zhǒng júmiàn bèi chēng wéi “zhōngděng jìshù xiànjǐng”——jí yīgè guójiā zài cóng dīduān zhìzào xiàng gāoduān zhìzào pānshēng de guòchéng zhōng, yóuyú guānjiàn héxīn jìshù shòuzhì yú rén, xiànrù “yǐnjìn—luòhòu—zài yǐnjìn” de xúnhuán.

This situation is called the 'middle technology trap' — that is, a country, in the process of climbing from low-end manufacturing to high-end manufacturing, falls into a cycle of 'introduce—lag behind—reintroduce' because its key core technologies are controlled by others.

所谓“换道超车”，并非简单地追赶原有技术路径，而是借助数智化手段，重构生产流程与商业模式。

Suǒwèi “huàndào chāochē”, bìngfēi jiǎndān de zhuīgǎn yuányǒu jìshù lùjìng, ér shì jièzhù shùzhìhuà shǒuduàn, chónggòu shēngchǎn liúchéng yǔ shāngyè móshì.

The so-called 'changing lanes to overtake' is not simply catching up with the original technological path, but using digital and intelligent means to restructure production processes and business models.

产业升级归根结底要靠企业自身的决心与投入。

Chǎnyè shēngjí guīgēnjiédǐ yào kào qǐyè zìshēn de juéxīn yǔ tóurù.

Industrial upgrading ultimately depends on the determination and investment of the enterprises themselves.

中国制造业要突破技术瓶颈，归根结底是必须形成自主可控的技术体系。

Zhōngguó zhìzàoyè yào tūpò jìshù píngjǐng, guīgēnjiédǐ shì bìxū xíngchéng zìzhǔ kěkòng de jìshù tǐxì.

For China's manufacturing industry to break through technological bottlenecks, it ultimately must establish a self-controllable technology system.

在追求快速发展的同时，企业也必须重视数据基础建设和算法模型的优化。

Zài zhuīqiú kuàisù fāzhǎn de tóngshí, qǐyè yě bìxū zhòngshì shùjù jīchǔ jiànshè hé suànfǎ móxíng de yōuhuà.

While pursuing rapid development, enterprises must also pay attention to data infrastructure construction and algorithm model optimization.

在AI算法和工业互联网上持续突破的同时，也要在操作系统、芯片设计等底层领域加强自主研发。

Zài AI suànfǎ hé gōngyè hùliánwǎng shàng chíxù tūpò de tóngshí, yě yào zài cāozuò xìtǒng, xīnpiàn shèjì děng dǐcéng lǐngyù jiāqiáng zìzhǔ yánfā.

While making continuous breakthroughs in AI algorithms and the industrial internet, it is also necessary to strengthen independent research and development in underlying areas such as operating systems and chip design.