CHAPTER 18Organizational Structures and Centers of Excellence
While some fear how AI will impact jobs, other see opportunity in how AI will become accessible to people broadly.
Companies are under pressure to decide how, when, and how rapidly to proceed with AI. This decision may hinge on the level of sophistication of your company when it comes to data assets, technology infrastructure, in-house talent, financial resources, and market position. In some industries, GenAI could be a game changer for those who adopt it early. Done properly some companies, even new entrants, can leapfrog existing market leaders just as companies did with e-commerce and mobile phones.
Not every company is all-in on AI—yet. According to a recent Morgan Stanley CIO survey, only 13% of companies had LLM model AI projects in production in 2023, whereas 39% expect to be in production in 2024. Interestingly, 25% had no plans to use LLMs in the near future.1
If you are short on technical talent, buying GenAI with a no/low code interface from the vendors you are already using to run your business is a sensible option. SaaS companies such as Salesforce offer reasonable fixed-fee subscriptions or usage-based pricing for you to get started. And the AI can be used directly in the flow of work within the applications your teams are already using.
Ultimately, our advice for business leaders is to (1) dream big, (2) execute within reach, and (3) build an adaptive culture.
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