| | JULY 20248CIOReviewIN MY OPINIONBUILDING TO INNOVATE:STRUCTURING FOR THE ACCELERATING PACE OF AI DEVELOPMENTIntroduction The rapid advancement of Artificial Intelligence (AI) is not just a technological revolution but also a paradigm shift in how companies will need to operate. For CIOs, data leaders, and decision-makers, the challenge is no longer just about adopting AI, but about structurally adapting to its accelerating pace. The question is not just around how we use AI for operational efficiency and product enhancements over the next few months but how we structure the company to quickly adapt as new capabilities arise over the next few years. To lead in this era of technological advancement, companies will need to establish structures and frameworks for rapid innovation in an increasingly competitive global economy.Implications of the Dynamic AI Landscape on Team StructureAs new AI capabilities reshape how industries operate, traditional team structures need to be reimagined to adapt quickly as new technology breakthroughs are made. AI will go beyond automating routine tasks and begin to take on more advanced skills like software development. Business skills involving creativity, strategic thinking, and execution agility will become more valued. The base level of knowledge for working with AI systems for all employees will rise as they will be critical in driving work efficiency. AI specialists will be needed to work alongside domain experts to identify new ideas that leverage the latest AI capabilities. Project Bob BressBy Bob Bress, VP, Head of Data Science, FreeWheel
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