The Global Research Network for Verified Scholars

Introduction The dawn of digitalization brings with it a plethora of opportunities to streamline processes and optimize efficiency. However, as we integrate AI and automated workflows into our daily operations, we risk overlooking the heart of our organizations: the people. Emotional intelligence (EQ) becomes a guiding compass, allowing us to navigate this complex terrain with grace and awareness. By harmonizing technological advancements with the human experience, we can cultivate workplaces that are not only efficient, but also enriching and supportive.

Generative AI in Higher Education Generative AI, which employs machine learning models to create content such as text, images, and simulations, can fundamentally alter the landscape of education. Here are some of its most promising applications:

Introduction In an era marked by rapid technological advancements, information overload, and shifting global dynamics, future generations— Alpha and Z—must develop skills beyond traditional education. The ability to critically examine, question, and analyse information is crucial for their success in a world where adaptability and independent thinking define progress.

Introduction In a world redefined by the Fourth Industrial Revolution, digital skills are not confined to technical abilities like programming. They now encompass emotional intelligence, ethics, collaboration, and creativity. As Botros (2021– 2025) emphasizes in her scholarly work, AI is more than a technological wave—it’s a transformative force reshaping the purpose and structure of education and employment. To empower graduates and professionals alike, a radical redesign of strategy, pedagogy, and policy is urgently needed.

In the accelerating age of artificial intelligence, humanity stands at a turning point. AI is no longer confined to computational tasks; it now drives decisions, creates art, diagnoses disease, and even writes code. In this context, the key question is not how smart you are, but how adaptable you are. In the words of Charles Darwin, "It is not the strongest or the most intelligent who will survive but those who can best manage change." As machines evolve, so too must our measure of intelligence. This article explores the vital connection between adaptability and the capacity to keep pace with technological development—challenging conventional metrics of intelligence and proposing bold, new paradigms for success in the AI era.

Abstract Productivity in contemporary knowledge economies is increasingly measured by impact rather than activity. Organizations must deliver higher-value results while maintaining compliance, governance, accuracy, and infrastructure reliability. Artificial intelligence (AI) offers new capabilities for accelerating insight generation, improving workflow efficiency, and increasing the visibility of professional contributions. However, the integration of Al must be guided by human-centered principles to ensure ethical alignment, reliable outputs, and sustainable value creation. This article explores how professionals and institutions can achieve faster and clearer outcomes without compromising governance. It proposes a framework for human-AI collaboration that integrates infrastructure reliability, domain intelligence, and responsible leadership. Keywords: artificial intelligence, productivity, governance, human-centered Al, leadership

The evaluation of Purchase Power Parity (PPP) through traditional methods mainly depends on macroeconomic data including price indices together with GDP statistics and exchange rates. The research develops an AI-enhanced analytical system that conducts experimental Social Media Utility-based Purchase Power Parity (PPP) evaluations through financial consumer insights from FinTech information platforms. The computational framework implements Natural Language Processing technology on unfiltered social media information and FinTech behavioral patterns to develop an index measuring digital spending behavior influence known as Social Media Utility Index (SMUI). Deep learning LSTM and CNN models along with reinforcement learning-based adaptive adjustment processes personal finance data to match it with global PPP metrics obtained from World Bank and IMF institutions. The AI platform performed sentiment analysis by reaching an average accuracy level of 91.4% for expense predictions and produced 88.7% accuracy when analyzing PPP-adjusted behavioral activities. Research conducted in 10 worldwide regions demonstrates that online utility ratings establish solid statistical relationships with the spending power observed in each area. The proposed framework introduces a fresh perspective that both interprets PPP as both a quantitative economic tool and as a people-centered market construct. The system provides XAI features that establish transparency as well as practical interpretability options for users. The research integrates economic concepts with AI analytics to create customized financial systems which enable worldwide economic flexibility