Traditionally,　users　have　perceived　that　only　manual　laborers　or　those　in　repetitive　jobs　would　be　subject　to　technological　substitution.　However,　with　the　emergence　of　technologies　like　Midjourney,　ChatGPT,　and　Notion　AI,　known　as　Artificial　Intelligence-Generated　Content　(AIGC),　we　have　come　to　realize　that　cognitive　laborers,　particularly　creative　designers,　also　face　similar　professional　challenges.　Yet,　there　has　been　relatively　little　research　analyzing　the　acceptance　and　trust　of　artificial　intelligence　from　the　perspective　of　designers.　This　study　integrates　the　TAM/TPB　behavioral　measurement　model,　incorporating　intrinsic　characteristics　of　designers,　to　delineate　their　perceived　risks　of　AIGC　into　functional　and　emotional　dimensions.　It　explores　how　these　perceived　characteristics,　risks,　and　trust　influence　designers’　behavioral　intentions,　employing　structural　equation　modeling　for　validation.　The　findings　reveal　the　following:　(1)　designer　trust　is　the　primary　factor　influencing　their　behavioral　choices;　(2)　different　dimensions　of　perceived　risks　have　varying　degrees　of　impact　on　trust,　with　functional　risks　significantly　positively　affecting　trust　compared　to　emotional　risks;　(3)　only　by　enhancing　the　transparency　and　credibility　of　Artificial　Intelligence-Generated　Content　(AIGC)　can　the　perceived　characteristics　of　designers　be　elevated;　and　(4)　only　by　effectively　safeguarding　designers’　legitimate　rights　and　interests　can　perceived　risks　be　significantly　reduced,　thereby　enhancing　trust　and　subsequently　prompting　actual　behavioral　intentions.　This　study　not　only　enhances　the　applicability　and　suitability　of　AIGC　across　various　industries　but　also　provides　evidence　for　the　feasibility　of　intelligent　design　in　the　creative　design　industry,　facilitating　the　transition　of　AIGC　to　Artificial　Intelligence-Generated　Design　(AIGD)　for　industrial　upgrading.　©　2024　by　the　authors.