MC+A Insight Guest Article. Original Article can be found here.
The corporate role most frequently missing from conversations about Gen AI is that of the Chief Information Officer. Everywhere else, there is certainly no shortage of glitz and energy about the transformative impact that Gen AI will have — from sales and marketing to support and every other interaction in the customer lifecycle. It is however surprising that the backbone to any GenAI induced transformation — namely, IT — is continuously sending cautionary signals about how immediate and how widespread that transformation is going to be. It is curious that IT is so obviously missing from this discussion. No matter, until their very real concerns are met, any enterprise-wide adoption of Generative AI will be slow to non-existent.
Expanding Gap between IT and Business
It’s easy to be mesmerized by the shiny objects that promise automation and efficiency. Until those promises are reconciled with the very real risks that Gen AI comes with, enterprises will tread very cautiously. CIOs worry about security implications and about administrative overhead (in part resulting from capacity and knowledge gaps). Right now the infrastructure for managing Gen AI isn’t quite mature enough to satisfy requirements across these two critical dimensions. Look deeper.
Generative AI is not Enterprise Ready
Right now the overwhelming majority of IT leaders are cautious about Gen AI adoption in the enterprise, in some substantial measure because the systems to manage these applications have not yet emerged. 99% of IT leaders feel that business must take measures to better equip themselves to successfully leverage the technology. For this number to drop, enabling Gen AI specific tech like infrastructure needs to emerge.
A future where Generative AI is Enterprise Ready
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