![\"\"](\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/01\/Eileen-Chua-Managing-Director-SAP-Singapore-V2-1200x1363.jpg\")
<\/figure>\n<\/div>\n\n\n\n\u200e<\/p>\n\n\n\n
\u201cOur research suggests that to sustain this momentum and seize the next wave of AI innovation, Singaporean organizations will have to bridge their reported gaps in data readiness and workforce capability.\u201d<\/em><\/p>\n\n\n\n Eileen Chua, <\/strong> \u201cSpurred by strong policy direction, high digital maturity and a globally connected economy, Singapore has moved decisively on AI ambition and investment,\u201d said Eileen Chua, Managing Director, SAP Singapore. \u201cOur research suggests that to sustain this momentum and seize the next wave of AI innovation, Singaporean organizations will have to bridge their reported gaps in data readiness and workforce capability.\u201d<\/p> According to the report, organizations in Singapore expect to increase AI-related spending by an average of 38 percent over the next two years. A majority of respondents (67 percent) report satisfaction with their current return on investment from AI, and 63 percent say AI has contributed to addressing operational challenges, including decision-making and customer engagement.<\/p>\n\n\n\n At the same time, 70 percent of business leaders indicate uncertainty about whether AI initiatives are delivering their full potential. This suggests that while early results are generally positive, many organizations remain cautious about the long-term impact and scalability of their AI investments.<\/p>\n\n\n\n Organizational readiness continues to present challenges. The study found that 76 percent of organizations in Singapore have not yet implemented comprehensive AI training for employees. In parallel, 68 percent acknowledge the internal use of unapproved or unregulated AI tools, often referred to as shadow AI.<\/p>\n\n\n\n Data integration also remains a concern. Overall, 58 percent of respondents lack confidence in their ability to integrate and share data across business functions, which is a key requirement for enterprise-wide AI adoption. Data readiness challenges are particularly evident in legal (80 percent), finance (73 percent), human resources (66 percent), the CEO\u2019s office (64 percent), and procurement (55 percent).<\/p>\n\n\n\n While many organizations are currently using AI automation and generative AI, future investments in Singapore are expected to increasingly include AI agents. Agentic AI refers to systems designed to operate with a degree of autonomy, including the ability to plan actions and coordinate tasks.<\/p>\n\n\n\n Currently, only 6 percent of respondents report being fully prepared to deploy and scale AI agents, while 52 percent describe themselves as partially prepared. Over the next two years, organizations in Singapore anticipate an average return on investment of 8 percent from agentic AI, compared with a global average of 10 percent.<\/p>\n\n\n\n Despite these figures, expectations remain relatively strong. Seventy percent of respondents rate AI agents as having moderate to high potential to influence organizational operations, and 72 percent believe they could add value by supporting complex workflows across business units.<\/p>\n\n\n\n \u201cAgentic AI is an emerging area of interest for many organizations,\u201d said Chua. \u201cIts effectiveness will depend on factors such as data quality, system integration, and workforce preparedness. Organizations that address these foundational elements are likely to be better positioned to assess and realize value as AI capabilities develop.\u201d<\/p>\n\n\n\n Source: SAP<\/p>\n\n\n\n <\/p>","protected":false},"excerpt":{"rendered":" SAP commissioned a study, conducted by Oxford Economics, \"The SAP Value of AI Report\", which surveyed 1,600 business leaders of various sizes, including 200 in Singapore, across eight countries (Australia, Brazil, China, Germany, India, Singapore, United Kingdom, and United States).<\/p>","protected":false},"author":2368,"featured_media":148455,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[2],"tags":[],"coauthors":[39720],"class_list":["post-159931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sap-nachrichten","pmpro-has-access"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"thumbnail":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-150x150.jpg",150,150,true],"medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-400x180.jpg",400,180,true],"medium_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-768x346.jpg",768,346,true],"large":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"image-100":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-100x45.jpg",100,45,true],"image-480":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-480x216.jpg",480,216,true],"image-640":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-640x288.jpg",640,288,true],"image-720":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-720x324.jpg",720,324,true],"image-960":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-960x432.jpg",960,432,true],"image-1168":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"image-1440":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"image-1920":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"1536x1536":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"2048x2048":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"trp-custom-language-flag":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-18x8.jpg",18,8,true],"bricks_large_16x9":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"bricks_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"bricks_large_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki.jpg",1000,450,false],"bricks_medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-600x270.jpg",600,270,true],"bricks_medium_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-600x450.jpg",600,450,true],"profile_24":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-24x24.jpg",24,24,true],"profile_48":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-48x48.jpg",48,48,true],"profile_96":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-96x96.jpg",96,96,true],"profile_150":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-150x150.jpg",150,150,true],"profile_300":["https:\/\/e3mag.com\/wp-content\/uploads\/2025\/01\/shutterstock_1466384777_ki-300x300.jpg",300,300,true]},"post_excerpt_stackable_v2":" SAP hat bei Oxford Economics eine Studie namens \u201eThe SAP Value of AI Report\u201d in Auftrag gegeben, in der 1.600 F\u00fchrungskr\u00e4fte aus Unternehmen unterschiedlicher Gr\u00f6\u00dfe, darunter 200 aus Singapur, in acht L\u00e4ndern (Australien, Brasilien, China, Deutschland, Indien, Singapur, Gro\u00dfbritannien und den USA) befragt wurden.<\/p>\n","category_list_v2":"Community Nachrichten<\/a>","author_info_v2":{"name":"E3 Magazine","url":"https:\/\/e3mag.com\/en\/author\/e3_magazin\/"},"comments_num_v2":"0 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Managing Director,
SAP Singapore.<\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n![\"\"](\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26-04_29_1200x150-1.jpg\")
<\/a><\/div>\n\n\n\nAI investment and adoption vs. readiness<\/strong><\/h2>\n\n\n\n
Agentic AI<\/strong><\/h2>\n\n\n\n