Capabilities Are Just Starting

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One-third Of Use Cases Fall Under What You Might Characterize As The Most Common — The Jobs Done In Everyday Work Made More Efficient. But, Interestingly, It’s Only A Third. By Far The Most Popular Use Cases (%) Are Jobs Once Deprioritized Because They Took Too Much Effort And Are Now Worth Doing Because Of Generative Ai.

They Actually Add The Need For More Resources. This Finding Matches denmark phone number resource The Early Anecdotal Evidence I Gathered Working With Clients. Most Generative Ai Integrations In Marketing Add New Requirements For Budget And Resources, Supplementing Existing Capabilities. Also, Unsurprising But Nice To See Is How Few Of The Use Cases Fall In The Enhancement Category — Things You Couldn’t Do Before That Also Make You More Efficient.



Chalk This Up To “we Don’t Know What We Don’t Know.” This Generative Ai Adventure Is Still In Its Early Days, And New To Be Discovered. However, The Most Important Takeaway Is Not About Forcing Some Balance In The Use Cases In Your Work.