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Fluke Reliability Survey Reveals 79% of Manufacturers Will Leverage AI to Tackle High-Skilled Labor Shortage

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Fluke Reliability's recent survey reveals a significant shift in AI adoption within manufacturing, with 79% of respondents prioritizing AI investment to address high-skill labor shortages, compared to 37% for low-skill roles. The study, covering 600 senior decision-makers across the US, UK, and Germany, shows that 90% of organizations are impacted by skills shortages, with 98% viewing AI as a viable solution.

Key findings indicate that 21% of respondents believe AI and real-time data analytics will help bridge the skills gap and reduce workloads, while 40% of maintenance managers expect AI to drive positive efficiency transformation. The survey also highlights diversity challenges, with 37% of manufacturers acknowledging talent shortages due to lack of diversity. Organizations are responding through employer brand improvement (34%) and comprehensive training programs (33%).

Un recente sondaggio di Fluke Reliability rivela un cambiamento significativo nell'adozione dell'IA nel settore manifatturiero, con il 79% dei rispondenti che danno priorità agli investimenti in IA per affrontare le carenze di manodopera altamente qualificata, rispetto al 37% per i ruoli a bassa qualificazione. Lo studio, condotto su 600 decisori senior negli Stati Uniti, Regno Unito e Germania, mostra che il 90% delle organizzazioni è colpito da carenze di competenze, e il 98% considera l'IA una soluzione praticabile.

I risultati chiave indicano che il 21% dei rispondenti crede che l'IA e l'analisi dei dati in tempo reale aiuteranno a colmare il divario di competenze e a ridurre i carichi di lavoro, mentre il 40% dei manager della manutenzione si aspetta che l'IA promuova una trasformazione positiva dell'efficienza. Il sondaggio evidenzia anche sfide di diversità, con il 37% dei produttori che riconoscono carenze di talenti dovute alla mancanza di diversità. Le organizzazioni stanno rispondendo attraverso il miglioramento del marchio del datore di lavoro (il 34%) e programmi di formazione completi (il 33%).

Una reciente encuesta de Fluke Reliability revela un cambio significativo en la adopción de la IA en la industria manufacturera, con el 79% de los encuestados priorizando la inversión en IA para abordar las carencias de mano de obra altamente calificada, en comparación con el 37% para roles de baja calificación. El estudio, que abarcó a 600 tomadores de decisiones senior en Estados Unidos, Reino Unido y Alemania, muestra que el 90% de las organizaciones se ven impactadas por la falta de habilidades, y el 98% considera la IA como una solución viable.

Los hallazgos clave indican que el 21% de los encuestados cree que la IA y el análisis de datos en tiempo real ayudarán a cerrar la brecha de habilidades y reducir las cargas de trabajo, mientras que el 40% de los gerentes de mantenimiento espera que la IA impulse una transformación positiva en la eficiencia. La encuesta también resalta desafíos de diversidad, con el 37% de los fabricantes reconociendo que hay escasez de talento debido a la falta de diversidad. Las organizaciones están respondiendo a través de la mejora de la marca del empleador (el 34%) y programas de capacitación integrales (el 33%).

플루크 레리빌리티(Fluke Reliability)의 최근 조사에 따르면 제조업에서 AI 채택에 상당한 변화가 나타나고 있으며, 응답자의 79%가 고숙련 노동력 부족을 해결하기 위해 AI 투자를 우선시하고 있다는 결과가 나왔습니다. 저숙련 역할에 대해서는 37%의 응답자가 AI 투자를 우선시하고 있습니다. 이 연구는 미국, 영국 및 독일의 600명의 고위 결정권자를 대상으로 진행되었으며, 90%의 조직이 기술 부족의 영향을 받고 있으며, 98%은 AI를 실행 가능한 솔루션으로 보고 있습니다.

주요 발견사항에 따르면, 응답자의 21%가 AI와 실시간 데이터 분석이 기술 격차를 해소하고 작업량을 줄이는 데 도움이 될 것이라고 믿고 있으며, 40%의 유지보수 관리자는 AI가 긍정적인 효율성 변화를 이끌 것이라고 예상하고 있습니다. 또한 이 설문조사는 37%의 제조업체가 다양성 부족으로 인한 인재 부족을 인정하고 있으며, 조직들은 고용주 브랜드 개선(34%) 및 종합 교육 프로그램(33%)을 통해 대응하고 있습니다.

Une récente enquête de Fluke Reliability révèle un changement significatif dans l'adoption de l'IA au sein de la fabrication, avec 79% des répondants mettant l'accent sur l'investissement en IA pour faire face aux pénuries de main-d'œuvre hautement qualifiée, par rapport à 37% pour les rôles peu qualifiés. L'étude, couvrant 600 décideurs seniors aux États-Unis, au Royaume-Uni et en Allemagne, montre que 90% des organisations sont touchées par des pénuries de compétences, avec 98% considérant l'IA comme une solution viable.

Les résultats clés indiquent que 21% des répondants pensent que l'IA et l'analyse de données en temps réel aideront à combler le fossé des compétences et à réduire les charges de travail, tandis que 40% des responsables de la maintenance s'attendent à ce que l'IA entraîne une transformation positive de l'efficacité. L'enquête met également en évidence les défis de la diversité, avec 37% des fabricants reconnaissant des pénuries de talents dues à un manque de diversité. Les organisations répondent en améliorant leur marque employeur (34%) et en proposant des programmes de formation complets (33%).

Eine aktuelle Umfrage von Fluke Reliability zeigt einen signifikanten Wandel in der Einführung von KI in der Fertigung, wobei 79% der Befragten AI-Investitionen priorisieren, um den Mangel an hochqualifizierten Arbeitskräften zu beheben, verglichen mit 37% für niedrigqualifizierte Rollen. Die Studie, die 600 leitende Entscheidungsträger in den USA, Großbritannien und Deutschland umfasst, zeigt, dass 90% der Organisationen von Fachkräftemangel betroffen sind, wobei 98% KI als eine tragfähige Lösung betrachten.

Wesentliche Ergebnisse deuten darauf hin, dass 21% der Befragten glauben, dass KI und die Analyse von Echtzeitdaten helfen werden, die Qualifikationslücke zu schließen und die Arbeitslasten zu reduzieren, während 40% der Wartungsleiter erwarten, dass KI eine positive Effizienztransformation vorantreiben wird. Die Umfrage hebt auch Herausforderungen in Bezug auf Vielfalt hervor, wobei 37% der Hersteller anerkennen, dass es einen Talentmangel aufgrund fehlender Vielfalt gibt. Organisationen reagieren auf diese Herausforderung durch die Verbesserung der Arbeitgebermarke (34%) und umfassende Ausbildungsprogramme (33%).

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Implementation of AI set to augment and democratize high-skilled work amid persistent skills shortage

Everett, Washington, Dec. 05, 2024 (GLOBE NEWSWIRE) -- Fluke Reliability today announced the results of a recent survey which shows that 79% of respondents emphasized high-skill labor shortages as a primary focus for AI investment, in contrast to just 37% who view AI as a means to address gaps in low-skill roles. Manufacturers are seeking to move beyond automating low-skill routine tasks and are now applying AI and automation to high-skill roles in response to the ongoing skills shortage. The latest survey results reveal a strategic shift: instead of replacing humans with robots; industrial organizations are leveraging AI-driven technology to augment high-skill work, democratizing intelligence across the workforce and addressing critical talent gaps.

The research, conducted by Censuswide, surveyed over 600 senior decision-makers and maintenance professionals in the U.S., the UK, and Germany. The findings reveal that 90% of respondents report that the skills shortage has impacted their organization—almost one-third citing a significant effect—and manufacturers are turning to AI as a critical enabler of efficiency and productivity. 

An overwhelming 98% of respondents consider AI a viable solution to the skills shortage, with 36% stating their primary motivation for implementing AI is to compensate for the skilled shortage.

AI is anticipated to play a crucial role in transforming manufacturers from a state of workforce deficiency to enhanced efficiency. Nearly one in four (21%) of respondents believe AI and real-time data analytics will enable them to bridge the skills gap and reduce workloads – freeing workers to be more productive and tackle more complex value-added tasks.

Uniquely, this agreement translates to the plant floor, where 40% of maintenance managers believe AI will drive a positive transformation in terms of efficiency. This includes increasing investment in innovative technologies (30%) to address productivity gaps, complement worker capabilities, and enhance overall efficiency.

Aaron Merkin, Chief Technology Officer, Fluke Reliability, said: “The shift our research shows is not so surprising. While moving beyond routine and low-skill automation has been on the cards for some time, only now has technology reached a level that allows broader adoption within industrial organizations. The evolution we are now observing, sees AI going beyond basic automation, elevating the worker experience and transforming operations for our customers.”

He continued, “For example, in vibration analysis, we’ve witnessed how an AI diagnostic engine like Azima DLI can make prescriptive fault predictions available to a machine operate, where previously an individual trained as a CAT 3 or 4 vibration analyst would have been required. By accelerating the decision-making process and amplifying human expertise AI enables fast, actionable interventions that redefine operational efficiency.”

Beyond alleviating pressure on high-skilled labor, 37% of manufacturers also acknowledge that talent shortages within their organizations are down to a lack of diversity. In order to meet the needs of the modern landscape and combat this, industrial organizations are prioritizing strategies that will enable them to address this diversity and applicant gap.

Top initiatives outlined to drive this change include improving their employer brand (34%) to attract new and diverse talent and implementing comprehensive training and workforce development plans (33%) to upskill existing workers, perhaps to be able to work with AI technology and insights.

Jason Waxman, President of Fluke Corporation, said: “Our research has found widespread consensus that, with the right data foundation, AI tools will enable businesses to overcome their current skills shortage. Yet, the broader implications are even more profound. Integrating AI in manufacturing is not just about replacing low-skill labor with machines; it's also about strategically automating high-skill tasks while empowering the workforce to work more effectively with AI.”

“The industrial sector is undergoing a paradigm shift, in which AI is not merely a tool but a catalyst for advancing the quality and sophistication of human work. By augmenting human expertise, AI fosters more resilient, adaptable, and analytically driven operations. This alignment between human and machine intelligence will have long-lasting effects on creating a future-ready workforce.”

About Fluke Reliability 

Fluke Reliability, an operating company of the Fluke Corporation, offers reliability and maintenance teams the tools, software, AI powered insights, and services they need to optimize asset performance. Home to powerful, iconic brands – PRUFTECHNIK, Azima DLI, and eMaint – Fluke Reliability enables customers to shift from reactive to predictive maintenance utilizing a connected approach to reliability. Fluke Reliability informs customers on the health of their assets with software and services that drive better maintenance decisions – improving productivity, driving uptime, boosting visibility, and reducing costs. For more information on Fluke Reliability's eMaint CMMS, visit https://www.emaint.com/ or LinkedIn.

 

Fluke Reliability is a registered trademark of Fluke Corporation. The names of actual companies and products mentioned herein may be the trademarks of their respective owners. For more information, visit the Fluke website.  


FAQ

What percentage of manufacturers will use AI to address high-skilled labor shortages according to Fluke's survey?

According to Fluke's survey, 79% of manufacturers will leverage AI to address high-skilled labor shortages, compared to 37% focusing on low-skill roles.

How many organizations report being affected by the skills shortage in Fluke's study?

90% of organizations report being affected by the skills shortage, with approximately one-third citing a significant impact.

What percentage of maintenance managers believe AI will improve efficiency?

40% of maintenance managers believe AI will drive a positive transformation in terms of efficiency.

How are manufacturers addressing diversity challenges in their workforce?

Manufacturers are addressing diversity challenges through improving their employer brand (34%) and implementing comprehensive training and workforce development plans (33%).

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