Totally resonate with this â the industry isnât collapsing, itâs splitting: AI is eating the research/synthesis âmiddle,â while demand explodes for implementation that ships and judgment that survives org politics. The real premium becomes: diagnosing the actual problem, navigating incentives/trust, and owning outcomes when pilots hit reality. In other words: AI accelerates the how, but leaders still need help with the should we / in what order / at what risk.
Curious how youâre thinking about it at VisualMakers: what do you measure as âvalue deliveredââtime-to-production, adoption, cost saved, risk reduced, or something else?
Totally resonate with this â the industry isnât collapsing, itâs splitting: AI is eating the research/synthesis âmiddle,â while demand explodes for implementation that ships and judgment that survives org politics. The real premium becomes: diagnosing the actual problem, navigating incentives/trust, and owning outcomes when pilots hit reality. In other words: AI accelerates the how, but leaders still need help with the should we / in what order / at what risk.
Curious how youâre thinking about it at VisualMakers: what do you measure as âvalue deliveredââtime-to-production, adoption, cost saved, risk reduced, or something else?