AI in industry: CEOs of hospitals, factories and chips reveal real gains
IHH Group CEOs, TAL Apparel and AT&S explain how artificial intelligence is optimizing health, manufacturing and semiconductor operations, focusing on efficiency and complementing...

Leaders from three industrial sectors – health, textile and semiconductor – are reaping concrete gains with artificial intelligence. In an interview with CNBC, the CEOs of the IHH Group (hospital network), TAL Apparel (confection) and AT&S (chip production) detailed how the AI has been applied to reduce costs, accelerate processes and expand team capacity, without replacing them.
How does AI in the industry optimize hospitals?
The IHH Group, one of the largest hospital networks in Asia, uses machine learning algorithms to speed up imaging diagnoses and predict bed demands. According to the CEO, technology has already reduced the waiting time in emergencies by 30% and released doctors for more critical tasks. AI models analyze X-ray and CT scans, highlighting anomalies for human review – an approach that, according to the executive, “increases accuracy without replacing clinical judgment”.
What are the gains of AI in textile manufacturing?
TAL Apparel, Hong Kong-based fabrication giant, implanted computer vision and predictive systems in its production lines. The AI inspects tissues in real time, detecting defects invisible to the human eye, and suggests adjustments in cutting patterns – which increased the use of raw material by 15%. “AI is not taking jobs; it is giving workers tools to do better,” the CEO said.
AI in chip industry: the AT&S case
AT&S, an Austrian manufacturer of circuit boards and semiconductor substrates, integrated AI into chip design and assembly. Algorithms optimize the routing of electric tracks and simulate thermal variations before production, reducing the prototyping cycle from weeks to days. The CEO highlighted that technology is essential to maintain competitiveness in a market where every nano-optimisation counts.
AI in industry: does it replace or increase human labor?
A common point among the three executives is the vision of AI as an increase tool, not a replacement tool. “The human factor remains irreplaceable for complex decisions and patient relationships,” said the IHH CEO. The leader of TAL added that automation recreates functions, requiring requalification — a process that the company has already started with internal training programs in operation of intelligent systems.
Why does AI in industry matter to Brazil?
The country, with great presence in the health, textile and technology sectors, can benefit from similar models. Brazilian companies that invest in AI — such as McKinsey, Deloitte and PwC — are getting competitive advantages (read more in Consultories reinvent themselves with AI). International examples show that adoption is feasible even on smaller scales, since combined with adaptation of the workforce.
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Source: CNBC — CEOs are using AI to transform hospitals, factories and chipmaking
Frequently Asked Questions about AI in the industry
Will AI automate doctors and surgeons?
Not in the short term. Technology acts as support, analyzing tests and standards, but final decisions and direct contact with patients remain under human responsibility.
Can small factories use AI as TAL Apparel?
Yeah. Cloud-based solutions and models ready for visual inspection are available at decreasing costs, allowing companies of all sizes to implement similar features.
Does AI in chip production reduce development time?
Yeah. Companies like AT&S report a reduction of up to 70% in the prototyping cycle, with simulations that previously took weeks now being completed in days.
Source: www.cnbc.com

Written by
Lucas MontarroiosSou Lucas Montarroios e dediquei os últimos 15 anos à linha de frente de operações de telecom e data centers. Minha carreira sempre foi pautada por um foco implacável: transformar tecnologia e cenários críticos em oportunidades reais de negócio. No novidades.ia.br, trago essa visão executiva para o universo da IA. Especialista em produtos, mercado e ferramentas práticas de IA. Minha missão aqui é filtrar o ruído do mercado, analisando benchmarks, estratégias de grandes empresas e ferramentas práticas.


