It　has　been　a　decade　since　the　first　extensive　study　on　the　internet＇s　adoption　and　use　was　conducted.　Circumstances　have　changed　in　the　last　decade　internet　has　become　an　essential　need　for　every　human　being.　Socio-psychological,　economic,　and　personal　factors　play　a　significant　role　in　shaping　human　behaviour.　But　their　role　in　shaping　consumer　behaviour　toward　5G　is　still　unexplored.　In　order　to　determine　the　impact　of　socio-psychological　elements　on　5G　technology　adoption　intention,　the　study　integrated　curiosity,　perceived　value,　functional　value,　and　environmental　awareness　into　UTAUT2　and　analyzed　how　they　interact.　Instead　of　relying　on　linear　models,　this　study　employed　a　dual-stage　SEM-ANN　approach　because　customers＇　decision-making　process　to　adopt　new　technology　is　complex.　Valid　responses　from　840　respondents　were　collected,　investigated,　and　ranked　using　the　deep　learning　ANN　approach.　All　predictors　were　found　statistically　significant　except　social　influence.　ANN　sensitivity　analysis　revealed　that　newly　integrated　predictors　(environmental　awareness,　curiosity)　are　surprisingly　the　most　important　predictors,　followed　by　facilitating　conditions　and　perceived　satisfaction.　SEM-ANN　hybrid　two-step　deep　learning　approach　explained　83.6%　variance　higher　than　the　baseline　model　(UTAUT2).　The　study　improved　UTAUT2　by　adding　new　variables　and　expanding　its　canvas　to　predict　user　technology　adoption.　This　will　show　how　consumers　react　to　5G　services　and　help　telecoms　grow　into　new　markets.