Mapping AI mechanisms to convergence pathways and customer acceptance impact
| AI mechanism | Effects on customer-machine interactions | Customer acceptance impact | Industry pathway | Crossing level | Output type |
|---|---|---|---|---|---|
| Clinical evidence base + Personalized care gains | D + D | Effective | Intra-industry | No crossing | Null-convergent output |
| Platform automation readiness + Data-driven delivery | Intra-industry | ||||
| Clinical evidence base + Trial execution delays | D + B | Ambivalent | Intra-industry | ||
| Clinical input constraints + Personalized care gains | Intra-industry | ||||
| Platform automation readiness + Delivery instability | Intra-industry | ||||
| Tech scaling friction + Data-driven delivery | Intra-industry | ||||
| Clinical input constraints + Trial execution delays | B + B | Dysfunctional | Intra-industry | ||
| Tech scaling friction + Delivery instability | Intra-industry | ||||
| Clinical data for AI + Data-driven delivery | D + D | Effective | Inter-industry (MED→TECH→TECH) | Input stage | Semi-convergent output |
| AI workflow support + Personalized care gains | Inter-industry (TECH→MED→MED) | ||||
| Clinical evidence base + Clinical-digital modules | Inter-industry (MED→MED→TECH) | Process stage | |||
| Platform automation readiness + Monitoring improves outcomes | Inter-industry (TECH→TECH→MED) | ||||
| Clinical data for AI + Delivery instability | D + B | Ambivalent | Inter-industry (MED→TECH→TECH) | Input stage | |
| Clinical-tech misfit + Data-driven delivery | Inter-industry (MED→TECH→TECH) | ||||
| AI workflow support + Trial execution delays | Inter-industry (TECH→MED→MED) | ||||
| Digital exclusion risk + Personalized care gains | Inter-industry (TECH→MED→MED) | ||||
| Clinical evidence base + Co-design gaps | Inter-industry (MED→MED→TECH) | Process stage | |||
| Clinical input constraints + Clinical-digital modules | Inter-industry (MED→MED→TECH) | ||||
| Platform automation readiness + Trust adoption friction | Inter-industry (TECH→TECH→MED) | ||||
| Tech scaling friction + Monitoring improves outcomes | Inter-industry (TECH→TECH→MED) | ||||
| Clinical-tech misfit + Delivery instability | B + B | Dysfunctional | Inter-industry (MED→TECH→TECH) | Input stage | |
| Digital exclusion risk + Trial execution delays | Inter-industry (TECH→MED→MED) | Input stage | |||
| Clinical input constraints + Co-design gaps | Inter-industry (MED→MED→TECH) | Process stage | |||
| Tech scaling friction + Trust adoption friction | Inter-industry (TECH→TECH→MED) | Process stage | |||
| Clinical data for AI + Monitoring improves outcomes | D + D | Effective | Inter-industry (MED→TECH→MED) | Double crossing | Fully convergent output |
| AI workflow support + Clinical-digital modules | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Clinical data for AI + Trust adoption friction | D + B | Ambivalent | Inter-industry (MED→TECH→MED) | Double crossing | |
| Clinical-tech misfit + Monitoring improves outcomes | Inter-industry (MED→TECH→MED) | Double crossing | |||
| AI workflow support + Co-design gaps | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Digital exclusion risk + Clinical-digital modules | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Clinical-tech misfit + Trust adoption friction | B + B | Dysfunctional | Inter-industry (MED→TECH→MED) | Double crossing | |
| Digital exclusion risk + Co-design gaps | Inter-industry (TECH→MED→TECH) | Double crossing |
| AI mechanism | Effects on customer-machine interactions | Customer acceptance impact | Industry pathway | Crossing level | Output type |
|---|---|---|---|---|---|
| Clinical evidence base + Personalized care gains | D + D | Effective | Intra-industry | No crossing | Null-convergent output |
| Platform automation readiness + Data-driven delivery | Intra-industry | ||||
| Clinical evidence base + Trial execution delays | D + B | Ambivalent | Intra-industry | ||
| Clinical input constraints + Personalized care gains | Intra-industry | ||||
| Platform automation readiness + Delivery instability | Intra-industry | ||||
| Tech scaling friction + Data-driven delivery | Intra-industry | ||||
| Clinical input constraints + Trial execution delays | B + B | Dysfunctional | Intra-industry | ||
| Tech scaling friction + Delivery instability | Intra-industry | ||||
| Clinical data for AI + Data-driven delivery | D + D | Effective | Inter-industry (MED→TECH→TECH) | Input stage | Semi-convergent output |
| AI workflow support + Personalized care gains | Inter-industry (TECH→MED→MED) | ||||
| Clinical evidence base + Clinical-digital modules | Inter-industry (MED→MED→TECH) | Process stage | |||
| Platform automation readiness + Monitoring improves outcomes | Inter-industry (TECH→TECH→MED) | ||||
| Clinical data for AI + Delivery instability | D + B | Ambivalent | Inter-industry (MED→TECH→TECH) | Input stage | |
| Clinical-tech misfit + Data-driven delivery | Inter-industry (MED→TECH→TECH) | ||||
| AI workflow support + Trial execution delays | Inter-industry (TECH→MED→MED) | ||||
| Digital exclusion risk + Personalized care gains | Inter-industry (TECH→MED→MED) | ||||
| Clinical evidence base + Co-design gaps | Inter-industry (MED→MED→TECH) | Process stage | |||
| Clinical input constraints + Clinical-digital modules | Inter-industry (MED→MED→TECH) | ||||
| Platform automation readiness + Trust adoption friction | Inter-industry (TECH→TECH→MED) | ||||
| Tech scaling friction + Monitoring improves outcomes | Inter-industry (TECH→TECH→MED) | ||||
| Clinical-tech misfit + Delivery instability | B + B | Dysfunctional | Inter-industry (MED→TECH→TECH) | Input stage | |
| Digital exclusion risk + Trial execution delays | Inter-industry (TECH→MED→MED) | Input stage | |||
| Clinical input constraints + Co-design gaps | Inter-industry (MED→MED→TECH) | Process stage | |||
| Tech scaling friction + Trust adoption friction | Inter-industry (TECH→TECH→MED) | Process stage | |||
| Clinical data for AI + Monitoring improves outcomes | D + D | Effective | Inter-industry (MED→TECH→MED) | Double crossing | Fully convergent output |
| AI workflow support + Clinical-digital modules | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Clinical data for AI + Trust adoption friction | D + B | Ambivalent | Inter-industry (MED→TECH→MED) | Double crossing | |
| Clinical-tech misfit + Monitoring improves outcomes | Inter-industry (MED→TECH→MED) | Double crossing | |||
| AI workflow support + Co-design gaps | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Digital exclusion risk + Clinical-digital modules | Inter-industry (TECH→MED→TECH) | Double crossing | |||
| Clinical-tech misfit + Trust adoption friction | B + B | Dysfunctional | Inter-industry (MED→TECH→MED) | Double crossing | |
| Digital exclusion risk + Co-design gaps | Inter-industry (TECH→MED→TECH) | Double crossing |
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