- Manufacturers are approaching generative AI initiatives more cautiously than anticipated, with only 58% planning to increase AI spending in 2024.
- Despite the potential benefits, issues like response accuracy and costs are causing a slow pace of AI adoption in manufacturing, highlighting the industry’s cautious approach towards new technologies and future investment strategies.
OUR TAKE
With nearly half of manufacturers not increasing their spending on AI in 2024, the pursuit of AI is changing its direction toward high quality and accuracy. The impressive revenue brought by AI has amassed a significant portion of these companies‘ capital. It is thoughtful for companies to pay more attention to quality instead of quantity. It is also the key to their expected dominance in the AI industry.
–Ashley Wang, BTW reporter.
What happened
Manufacturers are proceeding with generative AI initiatives more cautiously than anticipated due to concerns about accuracy, according to a study by Lucidworks released on Wednesday. The study, which surveyed over 2,500 global leaders involved in AI technology decision-making, revealed that only 58% of manufacturing leaders plan to increase spending on AI in 2024. This figure is lower than the global consensus of 63% and significantly below the US consensus of 69%.
In 2023, 93% of all leaders, including those in manufacturing, planned to boost AI spending. This year’s more restrained approach contrasts sharply with the previous optimism, despite PitchBook data from last week showing a surge in the US venture capital(VC) funding, driven by substantial investments in AI companies. Investors are banking on startups with the hope that AI adoption will lead to significant revenue gains. According to Lucidworks’ study, nearly 50% of manufacturers worldwide reported cost savings this year after implementing AI initiatives.
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Why it’s important
“While many manufacturers see the potential benefits of generative AI, challenges such as response accuracy and cost are causing them to take a more cautious approach,” said Mike Sinoway, CEO of Lucidworks. The increasing number of Generative AI products makes issues like inaccurate or nonsensical outputs known as hallucinations prominent. Concerns about response accuracy due to hallucinations were expressed by 36% of all respondents, with a higher proportion of manufacturing respondents (44%) sharing this concern.
The slow pace of AI adoption in manufacturing underscores the industry’s cautious attitude towards new technologies. While manufacturers acknowledge the potential cost benefits of AI, they aim to maximise its value while navigating accuracy issues and managing expenses. This cautious approach may influence future investment strategies and the overall trajectory of AI integration in the manufacturing sector.
