Trend Macrotrend 2: AI takes emotional, embodied and socially responsive form
Summary
NTT DATA's second macrotrend, embodied agency and emotions, describes AI moving beyond text interfaces and isolated tasks. Digital humans, humanoid robots and interfaces that sense emotion are entering daily life in education, healthcare, mobility and public services. The report links the timing to societies facing loneliness, skill shortages and growing demand for more inclusive, human-centred experiences. Emotionally aware systems can read gestures, tone and affect and respond in ways that feel intuitive and supportive, which the report sees as a route to trust and engagement. At the societal level, it argues that synthetic empathy could become a structural driver of wellbeing, productivity and accessibility. It also cautions that embedding such systems widely makes ethical design around privacy, authenticity and human agency urgent.
Classification
Evidence 1
- Technology Foresight 2026: Sustaining growth in the era of mass intelligence NTT DATA page=18;section=2 Embodied agency and emotions / What it is and why it matters now 2026-03 accessed 2026-07-26
Observed signals 5
- Signal88% of marketers are said to use emotion AI daily and CX monitoring to take over 31% of demand
- SignalAffective computing is put at $88.6bn in 2024 growing to $347bn by 2029
- SignalEmotion AI is dated to become part of social infrastructure between 2028 and 2030
- SignalPatient engagement is put at 62% of healthcare AI use and administrative efficiency at 60%
- SignalWearable EDA and heart-rate-variability sensors are credited with up to 84% stress detection accuracy
Part of issues 4
- IssueEmotional AI entering social infrastructure makes privacy and authenticity norms urgent1 trends · 1 signals
- IssueScenario: affective nudging is regulated as a behavioral intervention1 trends · 0 signals
- IssueScenario: team sentiment and stress become live metrics on HR dashboards1 trends · 0 signals
- IssueThe six macrotrends are asserted to be one convergent transformation, not six agendas6 trends · 1 signals
Relation types: constitutes · supports
Public id: fm-0e898113f408
