The Cost Of Intelligence: Why Efficiency Is Becoming AI’s Real Battleground
•InnovationThe Cost Of Intelligence: Why Efficiency Is Becoming AI’s Real BattlegroundByPunnam Raju Manthena,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Counci...
•Opinions expressed are those of the author.
•| Membership (fee-based)May 19, 2026, 09:00am EDTPunnam Raju Manthena, Cofounder & CEO at Tekskills Inc.
هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
InnovationThe Cost Of Intelligence: Why Efficiency Is Becoming AI’s Real BattlegroundByPunnam Raju Manthena,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 19, 2026, 09:00am EDTPunnam Raju Manthena, Cofounder & CEO at Tekskills Inc. Partnering with clients across the globe in their digital transformation journeys. gettyArtificial intelligence (AI) is reshaping businesses and expanding human capabilities, enabling organizations to create better products and services that influence everyday life. It’s no surprise, then, that companies are investing heavily in AI—or preparing to do so. According to the World Economic Forum, roughly $1.5 trillion is being invested in AI, and nearly 60% of businesses are expected to scale their AI initiatives in 2025. Additionally, one in three companies planned to spend $25 million or more on AI in 2025, and about 75% of these companies consider AI one of their top strategic priorities.With so much capital flowing into AI and so many businesses racing to scale their initiatives, organizations need to look beyond the upfront investment and consider the hidden economics of AI at scale. The Hidden Cost Stack Behind AI ScalingOne of the first major challenges is acquiring high-quality, relevant data, which often involves purchasing datasets, conducting surveys and investing heavily in data cleaning and storage. Companies must also account for the cost of integrating AI into existing legacy systems, databases and workflows.Cloud costs present another hidden pressure point. While pay-as-you-go pricing models may appear manageable in the early stages, expenses can rise quickly as AI workloads scale. At the same time, businesses face the high cost of recruiting, training and retaining specialized AI talent. Operational oversight also adds to the financial burden, as organizations must con...المصدر: Forbes | Source: Forbes
ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.
This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.




