The Next Next Common Sense
speakers craft more fluent communication in organizations operating across language boundaries. And they can scale certain types of commu- nication that would otherwise require extensive human effort. However, these systems also risk introducing linguistic homogeni- zation that undermines authentic human connection. When too many communications pass through similar algorithmic filters, organizational language can lose the distinctive characteristics that reflect genuine hu- man diversity. Excessive reliance on AI-generated language can create what communications scholar Sherry Turkle calls “moments of more and less”—interactions that seem complete on the surface but lack the deeper connection that comes from authentic human expression. Organizations navigating this evolving relationship between human and algorithmic language most effectively establish clear principles about where and how AI systems should augment rather than replace human communication. They recognize contexts where algorithmic efficiency provides genuine value while preserving spaces where human linguistic uniqueness remains essential. And they develop practices that help hu- mans and AI systems collaborate effectively rather than creating parallel communication streams. Shopify’s approach to AI-augmented customer support exemplifies this balanced integration. Their support system uses AI to draft initial response suggestions based on customer inquiries while keeping humans in the loop for review, refinement, and relationship management. This approach maintains efficiency without sacrificing the human judgment essential for managing complex customer needs. The result combines algorithmic consistency with human discernment in ways that enhance rather than diminish linguistic coherence. MQ ue aa sl iut ar ti ni vge La ni ndgQu ui sat inct Ai t al itgi vnemAepnptr: oI ancthe ge rs a t i n g
As organizations increasingly recognize the strategic importance of linguistic coherence, many have begun developing more sophisticated
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