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Why Enterprises Are Tempering Generative AI Eagerness With Caution [Charts]

Multiple surveys and polls have found excitement about business leaders for generative AI and its potential impact. A new survey by the AI Infrastructure Alliance (AIIA) upholds that trend, as seen above, but offers new insight into why not every company is plunging immediately into an overhaul of their entire business model even as many race to be on the leading edge of generative AI integration.

Generative AI Wariness


The AIIA surveyed leaders and executives at more than 1,000 companies with over $1 billion in August. Around two-thirds rated adopting generative AI and LLMs by the end of the year as a critical goal. either 67.2% marked the project’s importance on a scale from one to five as either four or five. Generative AI is rapidly permeating corporate strategies as it continues to evolve and more ways of employing one or more aspects of the technology promise to augment human capabilities and transform workflows.

That said, the AIIA also highlighted the roadblocks for enterprise implementation of generative AI. The ability to customize LLMs and ensure flexibility ranked as the biggest challenge. Preserving proprietary data and institutional IP in generative systems was another top concern, and many companies have amassed years of internal information and want to control how models train on it. They also want to adapt AI frameworks to their specific needs, as seen in the second chart below.

Embedding LLMs and their derivatives into rigid enterprise IT environments may prove difficult. Mature corporations have specialized requirements and ingrained processes not easily replicated by AI. The same technology also brings new risks with regard to data security, and regulation compliance. The same goes for output quality control, as hallucinating generative AI chatbots are still an issue. Succeeding will require mitigating corporate-level risks and customizing for specialized use cases, a costly and possibly long process. But the study shows companies consider the benefits too big to ignore. It reveals a tech sector keen to be proactive with generative AI rather than risk falling behind.