AI has the potential to transform markets, business models and competitive landscapes. To succeed, your AI strategy must be dynamic, evolving alongside your business priorities, market trends and the risk landscape. Here's how you can build an effective AI strategy: https://gtnr.it/3KemgX6 #AI #AIStrategy #ArtificialIntelligence
The reminder that AI strategy has to evolve with shifting business priorities feels spot on, especially in markets that move this fast. I’ve watched teams freeze their AI plans for 1 quarter and instantly fall behind competitors who stayed adaptive. The companies winning right now treat strategy as a living system, not a one time blueprint. Where do you see most organizations getting stuck in that evolution?
While AI is a very powerful tool, it is recommended to analyze how it fits into the business and its context before applying it. The context goes beyond the specific business problem to be solved and considers the organization's legal environment, regulatory framework, ethics, and organizational structure. Organizational and technological maturity are also relevant factors to consider, not only for applying AI but also for determining whether the conditions for its application are in place. The effective application of AI may require preconditions that must be documented and planned for their proper implementation.
The AI strategy must evolve alongside the business strategy—vice versa. Static plans lead to irrelevant AI. The integration loop of Alignment and Realignment is the most critical element for enduring success.
This reads like AI strategy written by someone who’s never acutually understood what is this thing called - AI. It’s all “realign your alignment” and zero engineering or rrap world reality; basically a brochure telling you to buy more workshops because the real advice, which is, get data, get talent, get compute, or get out, does NOT fit their business model. Hilarious, but a good shot in the dark, for blind audiences.