Despite the promise of AI's economic potential, many companies are struggling to achieve meaningful results due to a lack of cohesive strategy across teams. S&P Global Market Intelligence finds that up to 42% of companies are abandoning AI projects shortly after initiation. The disconnect between departments leads to conflicting claims about AI capabilities, ultimately hindering progress. Unlike earlier web chaos, AI’s current limitations stem from strategic misalignment rather than technical inadequacies, leading to high failure rates for projects that cannot scale effectively.
Most companies aren't failing at AI because of bad tools. They're failing because every team is pulling in a different direction. Without a clear strategy, even the best technology creates more noise than value.
Understanding why most AI strategies fail is crucial. The failure to implement AI initiatives extends from the top of the funnel to the bottom. Companies can demonstrate AI works in controlled tests, but nearly half of those proofs-of-concept never make it to production due to real-world complexities and scaling challenges.
Collection
[
|
...
]