Interview
We spoke with Liu Chao, CEO of the Huawei’s Manufacturing & Key Enterprise Account enterprise unit, in regards to the seismic impression AI is having for the manufacturing trade
At Cell World Congress 2026, AI lastly seemed to be coming of age. From myriads of economic AI brokers to early demonstrations of bodily AI, it was clear that AI was lastly turning into
For Huawei’s Liu Chao, the period of treating AI as a high-tech accent is over for the manufacturing sector.
“AI is now greater than instruments,” mentioned Liu in an interview with Whole Telecom. “It may be a novel distinguisher for producers to set themselves other than their opponents[…] AI is now turning into an vital paradigm shift in innovation and in management.”
““This shift is being pushed not solely by the rising maturity of AI, but in addition by the pressing want for producers to strengthen their competitiveness. Established leaders in conventional manufacturing sectors, comparable to automotive, are going through growing strain as extra gamers actively embrace advance applied sciences.
Given the precision and excessive requirements required in manufacturing, industrial gamers place a robust emphasis on confirmed reliability and predictable outcomes. This implies they have a tendency to attend for brand new applied sciences have demonstrated clear worth and stability. For Liu, this urge to attend is a “entice”.
“Adoption of AI is just not non-compulsory. It’s a compulsory alternative it’s a must to make. The query is just not whether or not to do it or not, however the way to do it,” he mentioned.
Bridging the experience hole
Maybe the largest hurdle to adoption, Liu defined, is the dearth of cross-discipline experience. Industrial specialists are usually not AI specialists, and vice versa,
“I feel one of many key priorities for producers adopting AI is deepening their understanding of the know-how and its evolving tendencies,” mentioned Liu. “This additionally means strengthening capabilities in information and digital infrastructure, whereas creating extra expertise with AI and IT experience – each of that are important to completely unlock the worth of AI.”
For AI adoption to scale throughout trade, each producers and tech firms have to domesticate multidisciplinary expertise that mixes each industrial and digital experience.
“We want AI specialists who’ve the information and background within the manufacturing sector,” he mentioned.
It is just with this shared experience, Liu argues, that the trade will have the ability to develop AI fashions tailor-made to the manufacturing sector’s particular wants.
“Common fashions like OpenAI reply questions based mostly on public data. However on the subject of the information a few particular firm, trade, or course of, these fashions will not be good at giving very particular solutions,” mentioned Liu. “In manufacturing firms, the information about operation administration, manufacturing processes, and analysis and growth is proprietary and personal. So, they want specialised options.”
Sensible first steps: Pilot initiatives and infrastructure foundations
With this in thoughts, what does early AI adoption appear to be for manufacturing firms?
For Liu, preliminary focus needs to be not on total transformation, however on addressing particular challenges.
“When a producing firm involves us and says they wish to start utilizing AI, we first talk about their ache factors of their enterprise,” Liu mentioned, noting that figuring out the precise use circumstances can generate early worth.
“We have now to search out some typical circumstances the place AI will be utilized and provides a fast win to our clients,” Liu mentioned. These early initiatives typically act as pilot programmes that assist organisations construct inner expertise and refine their information methods.
“Within the first stage we determine eventualities as the primary batch of AI adoption pilots,” Liu defined. “Then within the subsequent step we overview their extra confidential or personal information in manufacturing or R&D and assist them standardise it, prepared to be used in AI fashions.”
Automotive taking a lead
One manufacturing trade main the pack on the subject of AI adoption is the automotive trade.
“Every year in China, 50% of latest automobiles are related to the web and are electrical automobiles. The modifications available in the market are very quick. Nowadays, auto producers are launching their new automobile fashions nearly as ceaselessly as cell phone makers are launching telephones,” he mentioned, including that “autonomous driving and good cockpit capabilities are all enabled by AI fashions.”
Essentially the most superior carmakers are utilizing AI throughout product growth, manufacturing facility operations, and high quality inspection. That is permitting clients to take pleasure in a far better degree of personalisation as a part of a C-to-M (Client-to-Producer) framework.
“It’s an end-to-end course of that permits full customisation by the customers,” explains Liu. “It’s how auto producers in China are attempting to win in such fierce competitors.”
“Within the meeting line, a completely assembled automobile is constructed each minute,” Liu continued. “When the shopper chooses a selected configuration – say, for instance, a yellow security belt – it’s a must to guarantee that yellow belt arrives at precisely the precise level within the meeting course of. That wants AI-enabled scheduling with the information flowing from the order aspect on to the manufacturing.”
Networks come first
In fact, a robust basis of digital infrastructure is a important requirement on this journey.
“The precondition is that you’ve very stable community connections and superb {hardware},” Liu mentioned. “With out this, placing AI into motion is extremely tough.”
For Liu, the tempo of change means producers should proceed studying and adapting as AI applied sciences evolve.
“You can’t await the newest know-how for concern of being left behind as a result of AI is altering so rapidly,” he mentioned. “It’s a must to be taught all through the method of adoption.”
Hold updated with all the newest telecoms information with the Whole Telecom publication
Additionally within the information
World Communication Award Winners 2025
Ofcom clears the best way for satellite-to-smartphone providers
LG Uplus’s AI voice name app glitch leaks person information