The integration of artificial intelligence into businesses has been touted as a game-changer, but many companies are struggling to realize its full potential. A key issue is the structural impediments to AI adoption, which cannot be overcome by simply injecting AI into the company. Generative AI, for instance, can answer broad human-generated questions but fails to provide answers that require deep domain experience or connect people to the requisite expertise within the company. To overcome this, companies need to follow a three-phase approach to AI adoption. The first phase involves understanding the current capabilities of generative AI, the second phase requires infusing AI with business expertise, and the third phase involves driving AI adoption and collaboration across the organization. This requires senior executives to rethink their organizational structures and envision a central AI system that reaches all parts of the organization.
AI Adoption Roadblocks
AI will, therefore, not just enable greater efficiency in existing collaboration but also foster collaboration on issues that most people do not currently discuss with colleagues at all.
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