Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6, 4078-4088 2024 Publisher: Learning Gate DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate © 2024 by the authors; licensee Learning Gate * Correspondence: ibengana@kfu.edu.sa The economic impact of COVID-19 and the rise of artificial intelligence: A comprehensive analysis Ismail Bengana1*, Khaled Mili2, Labidi Hocine Mehaouat3, Abdenour Bounsiar4, Mohammed Lamine Cherbi5 1Department of Quantitative Methods, College of Business, King Faisal University, Saudi Arabia; Department of Economics, College of Business and Economics, Ouargla University, Algeria; ibengana@kfu.edu.sa (I.B.) 2Department of Quantitative Methods, College of Business, King Faisal University, Saudi Arabia; Kmili@kfu.edu.sa (K.M.) 3Department of Administrative and Financial Sciences, University College in Al-Khafji, University of Hafr Al Batin; lmehaouat@uhb.edu.sa (L.H.M.) 4Department of Computer Sciences, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia; abounsiar@kfu.edu.sa (A.B.) 5Department of Finance, Applied College, King Faisal University, Saudi Arabia; Department of Finance and Accounting, College of Business and Economics, Ouargla University, Algeria; mcherbi@kfu.edu.sa (M.L.C.) Abstract: This paper offers a comprehensive analysis of the global economic impact of the COVID-19 pandemic, examining the diverse responses and precautionary measures adopted by nations worldwide. It also delves into the trans-formative role of artificial intelligence (AI) in health surveillance and its implications for economic dynamics. AI, a key driver of the Fourth Industrial Revolution, is undergoing rapid evolution, prompting discussions on its benefits and challenges. Despite varying perspectives, its indispensability in modern society is acknowledged, with AI poised to drive societal transformation and restore global equilibrium. The study also highlights the active engagement of Arab countries, including Bahrain, in the AI landscape. Keywords: Artificial intelligence, Bahrain, COVID-19 pandemic, Economic impact, Economic resilience, Fourth industrial revolution, Global transformation. 1. Introduction The unexpected emergence of COVID-19 in late 2019 sent shock waves across the globe, catching nations off guard, and disrupting lives on an unprecedented scale. Initially perceived yet another virus in a century marked by significant strides in global health, COVID-19 swiftly evolved into a full-blown pandemic, transcending borders and affecting every corner of the world. Unlike historical pandemics like the Black Death or the Spanish flu, COVID-19 spread rapidly in an era defined by unprecedented interconnectedness and rapid movement of people and goods facilitated by modern transportation networks. The World Health Organization's declaration of COVID-19 as a pandemic on March 11, 2020, underscored the severity of the crisis. With the virus spreading to 210 countries, resulting in over 3 million deaths and 170 million confirmed cases by June 1, 2021, nations grappled with containment measures ranging from airport closures to travel bans and global trade suspensions. These measures, while crucial for controlling the virus, exacted a heavy toll on global economies, disrupting supply chains, and stifling economic activities. However, a midst the challenges posed by the pandemic, global cooperation, bolstered by technological advancements like machine learning and artificial intelligence (AI), played a pivotal role in combating the virus. Human ingenuity, coupled with the power of technology, contributed significantly to containment efforts, offering hope for a return to normalcy. As the world gradually emerges from the shadows of the pandemic, it faces a new reality characterized by accelerated digital transformation and the ascendance of artificial intelligence. In this https://orcid.org/0000-0002-9968-4240 mailto:abounsiar@kfu.edu.sa mailto:mcherbi@kfu.edu.sa https://orcid.org/0000-0002-6309-5452 https://orcid.org/0000-0003-4533-1762 https://orcid.org/0009-0002-5610-0986 4079 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate research, we aim to explore the economic implications of the post-COVID-19 world in the context of this digital revolution and the emergence of AI. Our study seeks to address key questions surrounding the economic aftermath of COVID-19 and the role of artificial intelligence in shaping the future landscape. Through a multifaceted approach encompassing economic, social, political, climatic, and environmental dimensions, we aim to provide a comprehensive understanding of the post-pandemic economic dynamics. By integrating insights from various disciplines and adopting an interdisciplinary methodology, we strive to offer valuable insights into the economic features of the post-COVID-19 world amidst the transformative impact of artificial intelligence. Through our research, we hope to shed light on the lessons learned from the pandemic and the potential pathways for navigating the complex challenges of the future. 2. Literature Review Researchers have scrutinized the economic impacts of COVID-19, analyzing the efficacy of government interventions and their repercussions on various economic indicators. Ashraf (2020) examines the economic consequences of government interventions, particularly focusing on their effects on stock market returns. Through rigorous analysis of data from 77 countries, Ashraf elucidates the intricate dynamics between social distancing measures, public awareness initiatives, testing protocols, quarantine policies, and income support packages, highlighting their implications for market dynamics. Similarly, König and Winkler (2021) delve into the impact of government responses on GDP growth, contrasting strategies of elimination versus suppression/mitigation across 44 countries. Their meticulous analysis underscores the significance of swift and effective responses in mitigating both health and economic crises. Additionally, Elgin, Basbug, and Yalaman (2020) propose a comprehensive economic policy response framework to the pandemic, emphasizing the delicate balance between transmission rates, economic costs, and health outcomes. Concurrently, research has increasingly focused on the role of Artificial Intelligence (AI) in pandemic management. Shamman et al. (2023) explore a myriad of technological applications of AI, ranging from medical image processing to disease tracking and medication development, highlighting AI's trans-formative potential in revolutionizing healthcare delivery and response strategies. Moreover, Khan et al. (2022) conducted a systematic review of AI and Internet of Things (IoT) technologies in response to COVID-19, emphasizing their significant impact on healthcare systems globally. Their review identifies cloud computing, edge computing, deep learning, Blockchain, and social networks as pivotal AI-IoT technologies driving innovation in pandemic management. Further contributing to the discourse, Sharifi et al. (2020) investigate the contributions of smart city solutions to resilience against COVID-19. Their comprehensive literature review underscores the role of smart city infrastructure in enhancing planning, preparation, absorption, recovery, and adaptation abilities. By leveraging IoT, data analytics, and AI-driven decision-making, smart cities can optimize resource allocation, monitor disease spread, and facilitate timely responses to emerging threats. However, the implementation of smart city initiatives also raises concerns about privacy, data security, and equitable access to services, underscoring the importance of addressing these challenges for the full realization of benefits. Additionally, Ribeiro et al. (2024) provide valuable insights into how European public employment services have coped and adapted to the challenges posed by the COVID-19 pandemic, particularly focusing on digitalization and service delivery to young people in rural areas. Their study, comprising case studies from Portugal, Bulgaria, and Lithuania, highlights the acceleration of service provision due to digitalization but also underscores challenges related to infrastructure and digital literacy in rural settings. Despite cultural and regional differences, all three countries have demonstrated an increased reliance on digitalization for service delivery, emphasizing the need to address digital inclusion and connectivity issues. This extensive body of literature reflects a multidisciplinary effort to comprehend and respond to the economic impact of COVID-19, as well as to leverage emerging technologies for effective pandemic management. By synthesizing insights from economics, technology, and various other disciplines, 4080 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate researchers aim to develop holistic strategies that build resilience and foster sustainable recovery in the post-pandemic era. These insights pave the way for further exploration in subsequent sections, where we delve deeper into specific aspects of the economic impact and the transformative role of Artificial Intelligence in shaping our response to the pandemic challenges. 3. Economic Impact of the COVID-19 Pandemic: A Global Overview and Sectoral Analysis The emergence of COVID-19 in late 2019 initially seemed localized to Wuhan, China, with the World Health Organization identifying it as a new coronavirus, subsequently named COVID-19, due to its discovery in 2019. However, with the interconnectedness of global trade and travel, the outbreak quickly transformed into a global pandemic, disrupting various sectors worldwide. China, as one of the largest economies, experienced an immediate impact, with a notable decline in economic growth by approximately 2% in the first quarter of 2020, although a gradual recovery followed. Lockdown measures imposed to contain the virus led to widespread disruptions across sectors like education, tourism, manufacturing, and hospitality, halting production, and prompting mass layoffs. Pre-pandemic economic growth projections were swiftly revised downwards by international organizations. For instance, the International Monetary Fund initially projected a 3.3% global growth in 2020, which was later adjusted given the uncertainty surrounding the pandemic (Nasir et al. 2020). The World Bank's initial forecast of 2.5% growth in 2020 faced similar revisions, indicative of the unprecedented economic downturn. The pandemic-induced economic downturn resulted in a staggering loss of jobs, with millions facing income reduction and increased poverty levels globally. Sectors such as hospitality, manufacturing, retail, and administrative activities bore the brunt of job losses, exacerbating vulnerabilities, particularly among informal workers lacking social protections (Winkelmann, 2022). Additionally, foreign direct investment plummeted by approximately 35% in 2020 compared to the previous year, reflecting the dwindling investor confidence a midst economic uncertainties (World investment report 2023). The transportation and aviation sectors, critical contributors to global GDP and employment, witnessed significant setbacks, with passenger numbers declining by up to 72% and revenues plummeting by billions of dollars (Abdel Moneim and Ismail, 2020). Similarly, the tourism sector, which accounted for a significant portion of global GDP, experienced a sharp decline of 60-80%, severely impacting countries heavily reliant on tourism revenues. The economic fallout further exacerbated public debt risks, with global debt levels soaring to unprecedented levels, reaching three times the global GDP in 2019. Governments worldwide implemented massive stimulus packages to counter the economic downturn, leading to substantial increases in domestic and external borrowing (Nasir et al. 2020). Meanwhile, capital markets faced heightened volatility and uncertainty, with stock exchanges worldwide experiencing significant losses comparable to or exceeding those observed during previous financial crises. The impacts of COVID-19 on key sectors and economic indicators are summarized in the following tables: Table 1. Number of lost positions in key sectors. Sector Lost positions (Million workers) Hospitality, accommodation, and catering 144 Manufacturing industries 463 Wholesale and retail trade 582 Business activities and administrative activities 157 4081 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate Table 2. Status of major indices in key global stock exchanges. Stock exchange Index Status Percentage (%) Dow Jones Loss 32 S&P 500 Loss 24 London Fotess Decline 31 Germany DAX Decline 37 Brussels Bel 20 Decline 41 France CAC 40 Loss 36.5 Turkey BIST 100 Decline 28 Tokyo Nikkei Loss 28 Hong Kong Seng Hong Loss 21 In summary, the economic repercussions of COVID-19 have been profound and far-reaching, disrupting global economic activities, exacerbating inequalities, and posing unprecedented challenges to recovery efforts across sectors. 4. Navigating the AI Frontier: Harnessing Technology in the Post-Pandemic Era In recent years, discussions surrounding collective intelligence and the evolutionary model have hinted at the emergence of a new form of intelligence that may rival human capabilities. Initially, artificial intelligence (AI) was developed to mimic basic human traits, such as learning and adaptation, through the simulation of machines. However, with advancements in technology, AI is poised to transcend these limitations and exhibit cognitive abilities parallel to human thought processes (Thomson et al. 2022). The profound advancements in AI, coupled with the vast amounts of data accessible through computers and various applications, have piqued interest in its potential role in addressing crises such as the COVID-19 pandemic. In this section, we delve into the historical evolution of AI, its relevance to contemporary life, and its implications for managing crises. 4.1. Characteristics of the Post-Pandemic Era The Fourth Industrial Revolution builds upon the foundations laid by its predecessor, the Third Industrial Revolution, which saw the development of computer and internet technologies. At its core, the Fourth Industrial Revolution integrates physical, digital, and biological systems, revolutionizing manufacturing processes and ushering in a new era of electronically controlled systems (Ministry of Economy, 2022). AI stands as one of the most significant outputs of the Fourth Industrial Revolution, with applications spanning military, industrial, economic, medical, educational, and service sectors, among others. Its innovation potential is boundless, promising trans formative changes in human life (Ministry of Economy, 2022). During the COVID-19 pandemic, AI has emerged as a crucial tool in combating the spread of the virus and facilitating response efforts. Through applications of AI, machine learning algorithms, and natural language processing, vast amounts of data related to the virus's spread, genetic information, and infected individuals' conditions have been analyzed. These insights have informed the development of vaccines and treatment strategies (Islamic World Educational, Scientific and Cultural Organization, 2022). AI has played a pivotal role in pandemic management through four key functions: Prediction: Machine learning algorithms enable the prediction of disease spread, aiding in proactive response efforts. For example, the Canadian BlueDot company accurately forecasted the virus's international spread through air travel. Diagnosis and Treatment: AI technologies analyze medical images and detect early signs of disease, facilitating timely diagnosis and treatment. Certain applications have been instrumental in diagnosing COVID-19 and developing vaccines. Tracking: Utilizing smartphones and wearable devices, AI enables the tracking of infected individuals' geographic distribution and contact tracing. This technology, widely adopted in various 4082 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate countries, promotes social distancing and containment measures. Surveillance: AI-driven surveillance systems monitor user data to track movements and detect potential outbreaks. Additionally, unmanned aerial vehicles and thermal cameras have been deployed in public spaces for enhanced surveillance (Islamic World Educational, Scientific and Cultural Organization, 2022). The deployment of these AI technologies underscores the importance of robust logistical preparations and digital infrastructure enhancements. Countries worldwide have invested billions in upgrading telecommunications and transportation sectors, recognizing their pivotal role in future development. Efforts toward e-governance and digital connectivity have been accelerated, with some nations achieving advanced stages of digital integration during the pandemic (Jaumotte et al. 2023). Digital transformation has emerged as a linchpin for economic recovery in the wake of the COVID-19 pandemic. As nations grapple with the dual imperatives of revitalizing economies and ensuring public health, the accelerated adoption of digital technologies, propelled by AI, has become a cornerstone of resilience and adaptation. Organizations across sectors have embraced digital solutions to navigate the challenges posed by the pandemic, from enabling remote work and e-learning to facilitating online transactions and virtual healthcare services. This surge in digitalization has not only fostered business continuity but has also catalyzed innovation and efficiency gains. For instance, AI-driven automation has streamlined processes, optimized resource allocation, and enhanced decision-making capabilities, thereby driving productivity and competitiveness. Moreover, the shift towards digital channels has unleashed new opportunities for entrepreneurship and market expansion, transcending geographical boundaries and traditional barriers to entry. By harnessing the power of AI and digital technologies, economies are poised to not only recover lost ground but also chart a course towards sustainable growth and resilience in the post-pandemic era. 4.2. Safeguarding Economic Gains and Employment The proliferation of AI technologies is expected to yield significant economic dividends, surpassing investments in traditional sectors such as oil exploration. By 2030, AI is projected to contribute over $15 trillion to global GDP, outstripping revenues from global oil sales. These economic gains are anticipated to benefit regions differently, with China and North America projected to lead in AI-driven growth (United Nations, 2020). Furthermore, AI adoption promises to enhance individuals' economic well-being by streamlining service delivery and combatting poverty. The McKinsey Global Institute estimates that AI technologies could boost economic output across various sectors, potentially increasing global sectoral output by trillions of dollars (Abdel-Moneim & Ismail, 2021). However, alongside these economic gains, AI adoption poses significant challenges, particularly in the labor market, wealth distribution, and cybersecurity. The rapid adoption of AI technologies may lead to job displacement, exacerbating income inequality and widening the gap between advanced and developing nations (Guardian News and Media, 2023). 4.3. Shaping the Future A midst AI Dominance The post-pandemic era presents a unique opportunity to reevaluate global systems and anticipate future challenges. Speculation abounds regarding the future of globalization, nationalist movements, and economic structures. As regions navigate these uncertainties, AI's role in shaping societal, economic, and political landscapes cannot be overstated (Kamruzzaman, 2022). In conclusion, while AI offers immense potential for economic growth and crisis management, its integration poses complex challenges. Balancing economic gains with social equity and cybersecurity concerns will be imperative in navigating the AI-driven future. 5. Case Study Analysis: Bahrain's AI Initiatives Bahrain has embarked on a significant journey to integrate artificial intelligence (AI) across various sectors as part of its national development agenda. The National Artificial Intelligence Strategy 4083 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate (NAIS) outlines a comprehensive road map for leveraging AI to drive innovation, enhance competitiveness, and foster economic growth (Bahrain Economic Development Board, 2019). Examining Bahrain's AI initiatives provides valuable insights into their effectiveness and implications for post-pandemic economic recovery and societal development. Bahrain's economic landscape has witnessed significant transformations driven by its initiatives in artificial intelligence (AI), particularly in response to the challenges posed by the COVID-19 pandemic. The government swiftly implemented AI-driven solutions to mitigate the pandemic's adverse effects on various sectors, including healthcare, finance, and education. These initiatives aimed to enhance operational efficiency, optimize resource allocation, and foster innovation in the face of unprecedented challenges (Bahrain News Agency, 2020). Bahrain's proactive approach to AI adoption has yielded significant economic benefits. By leveraging AI technologies in key sectors such as healthcare, finance, and transportation, Bahrain has enhanced productivity, reduced costs, and stimulated innovation. AI-driven automation has streamlined processes, leading to operational efficiencies, and enabling businesses to adapt to changing market dynamics more effectively. Moreover, AI-enabled data analytics have facilitated evidence-based decision- making, thereby improving resource allocation and strategic planning (Bahrain Economic Development Board, 2021). The widespread deployment of AI technologies has brought about notable societal changes in Bahrain. Access to AI-driven services and platforms has transformed the way individuals interact, work, and access essential services. From telemedicine platforms facilitating remote healthcare consultations to AI-powered chatbots providing personalized customer support, Bahrainis have experienced firsthand the societal benefits of AI integration. Furthermore, the government's investments in AI education and skill development programs have empowered Bahrain's workforce to adapt to the evolving digital landscape, fostering a culture of lifelong learning and innovation (World Bank, 2020). Bahrain's National Artificial Intelligence Strategy (NAIS), launched in 2019, aims to position Bahrain as a regional hub for AI innovation and adoption. The strategy focuses on key pillars, including AI infrastructure development, talent cultivation, industry collaboration, and policy frameworks. By analyzing the implementation progress and outcomes of NAIS, we can assess its impact on stimulating AI-driven innovation, entrepreneurship, and economic diversification (Bahrain Economic Development Board, 2019). Bahrain has established AI research and development centers, such as the Bahrain Institute of Artificial Intelligence (BIAI), to promote cutting-edge research and technology development. These centers serve as hubs for collaboration between academia, industry, and government agencies, fostering a vibrant ecosystem for AI innovation and talent development. By examining the activities and achievements of these centers, we can evaluate their contribution to advancing AI knowledge and capabilities in Bahrain (Bahrain Institute of Artificial Intelligence). Bahrain's AI initiatives offer valuable lessons and insights for policymakers, practitioners, and researchers worldwide. By analyzing the policy frameworks, funding mechanisms, and regulatory approaches underpinning Bahrain's AI ecosystem, we can identify best practices and potential areas for improvement. Furthermore, understanding the socio-economic impact of Bahrain's AI initiatives can inform future policy decisions and strategic investments in AI-driven innovation and development (Bahrain Economic Development Board, 2019). In conclusion, Bahrain's AI initiatives represent a bold and forward-thinking approach to harnessing AI for national development and societal transformation. By examining the implementation progress and outcomes of these initiatives, we can gain valuable insights into the role of AI in post-pandemic economic recovery and human development. The lessons learned from Bahrain's AI journey can inform global efforts to leverage AI as a catalyst for innovation, growth, and inclusive development in the digital age. 4084 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate 6. Sensitivity Analysis: Evaluating the Impact of AI Adoption in Bahrain's Economic Landscape Bahrain, a small archipelago in the Middle East, has been rapidly embracing technology to drive economic growth and diversification. Over the past two decades, the nation's GDP has nearly quadrupled, propelled by investments in technology and a vision for a post-oil economy. While traditionally known for its oil reserves, Bahrain is now positioning itself as a regional leader in emerging technologies, with a particular focus on artificial intelligence (AI), blockchain, and digital transformation initiatives. 6.1. AI Initiatives and Education Bahrain, a small archipelago in the Middle East, has been rapidly embracing technology to drive economic growth and diversification. Over the past two decades, the nation's GDP has nearly quadrupled, propelled by investments in technology and a vision for a post-oil economy. While traditionally known for its oil reserves, Bahrain is now positioning itself as a regional leader in emerging technologies, with a particular focus on artificial intelligence (AI), blockchain, and digital transformation initiatives. 6.2. AI Initiatives and Education Bahrain's commitment to fostering emerging technologies is evident in its robust education system and supportive regulatory environment. The kingdom has witnessed a surge in technology and computer science graduates, with many focusing on innovative AI projects aimed at addressing regional challenges (RRA, 2020). Educational initiatives, such as the Bahrain Polytechnic Academy of Artificial Intelligence, in collaboration with Microsoft and Tamkeen, are upskilling Bahraini students in AI technologies to accelerate digital transformation efforts (RRA, 2020). Additionally, strategic events and partnerships, such as the Artificial Intelligence Society and collaborations with international entities like the UK government, are driving knowledge exchange and regulatory advancements in AI governance and procurement guidelines (Bricker, 2021). 6.3. Real Estate Sector Bahrain's real estate sector is also undergoing a digital transformation, leveraging technologies like blockchain and AI to enhance efficiency and transparency (A. M. J., 2023). The Real Estate Reg Faqeeh regulatory Authority (RERA) introduced the National Real Estate Plan (2021-2024), emphasizing PropTech solutions to boost the sector's growth. Blockchain and distributed ledger technology (DLT) are revolutionizing property transactions, enabling secure and transparent record-keeping, smart contract implementation, and automated settlements (A. M. J., 2023). Moreover, some real estate developers are pioneering the acceptance of cryptocurrency payments for property transactions, signaling a shift toward digital currencies in the sector (Bin Faqeeh, 2020). 6.4. Financial Innovation and Regulation In line with its ambition to become a leading FinTech hub, Bahrain has implemented progressive regulatory frameworks for crypto-assets and blockchain-based services. The Central Bank of Bahrain (CBB) issued regulations governing crypto assets, ensuring compliance with international standards, and enhancing investor protection (A. M. J., 2023). Amendments to these regulations reflect ongoing market developments and industry best practices (A. M. J., 2023). Service-based platforms like Rain and Binance are offering regulated crypto products and services, further cementing Bahrain's status as a FinTech-friendly jurisdiction (A. M. J., 2023). 6.5. Market Outlook Bahrain's real estate sector is showing signs of recovery, with increased transaction volumes and ongoing mega projects across the country (A. M. J., 2023). Retail and mixed-use developments are gaining traction, driven by growing consumer demand and community-centric retail concepts (A. M. J., 2023). The market confidence, coupled with investments in technology, positions Bahrain as a 4085 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate promising destination for property developers and investors seeking opportunities in the evolving digital landscape (EDB Bahrain, 2020). 6.6. Challenges and Opportunities Despite the strides made in technology adoption, Bahrain faces challenges, including skepticism toward cryptocurrencies and the need for further education and awareness (A. M. J., 2023; RRA, 2020). While the real estate sector is gradually embracing digital transactions, there is still a preference for traditional cash transactions among some buyers (A. M. J., 2023). However, the growing interest in AI and PropTech solutions presents opportunities for developers, brokers, and sales agents to deliver customized solutions and enhance the overall property investment experience (A. M. J., 2023; RRA, 2020). 7. Conclusion In summary, the COVID-19 pandemic, despite its profound global, regional, and local economic and human toll, has prompted unprecedented international collaboration and coordination among nations and global organizations to combat it. This cooperation has been greatly facilitated by remarkable advancements in data science and artificial intelligence (AI), which played a pivotal role in swiftly diagnosing the disease and expediting vaccine development, despite initial underestimations by certain advanced countries. AI has now firmly entrenched itself in various facets of human life, offering unparalleled convenience and efficiency. Yet, its widespread adoption is also reshaping global power dynamics and impacting numerous economic, social, and political domains, heralding inevitable changes that nations must adapt to. The global deployment of AI applications has revolutionized healthcare, notably enhancing the speed and precision of diagnoses. To sustain this momentum and drive further innovation, continuous and unfettered access to data for both medical and AI experts is imperative. Moreover, fostering collaboration between these professionals at all levels is essential for optimizing problem-solving capabilities. Privacy concerns loom large in the AI landscape, necessitating robust safeguards to protect individuals' data and identities from exploitation. As AI-powered algorithms become increasingly sophisticated, the need for stringent privacy measures becomes even more pronounced, particularly as these algorithms may be sensitive information. The fight against infectious diseases will persist until new treatments and therapies are developed, and AI stands as a potent ally in expediting these endeavors. Embracing this technology, which has proven instrumental in saving time, resources, and lives, is imperative. The healthcare sector, traditionally hesitant to embrace technological innovations, has undergone a paradigm shift in the wake of the pandemic, recognizing the immense value of tools such as telemedicine and robotic assistance in containing contagion. However, the widespread adoption of AI also raises significant concerns about personal privacy. Control over software and algorithms will wield considerable influence in this arena, whether wielded by individuals or governments. Safeguarding electronic systems and protecting citizens' digital identities will become paramount as nations grapple with the implications of AI dominance. Addressing privacy issues mandates a transparent dialogue with the public, highlighting the positive contributions of AI at local and global scales while ensuring responsible and ethical AI deployment. Building public trust in these technologies is indispensable for their effective and beneficial utilization. Funding: The authors gratefully acknowledge financial support from The Deanship of Scientific Research, King Faisal University (KFU) in Saudi Arabia. The present work was done under Project Number (KFU 242331). 4086 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate Copyright: © 2024 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). References [1] Abdel-Moneim, M., & Ismail, A. (2021). The impact of government responses to the COVID-19 pandemic on GDP growth: Does strategy matter? PLOS ONE, 16(11), e0259362. https://doi.org/10.1371/journal.pone.0259362 [2] A. M. J. (2023, November 3). Bahrain’s real estate sector exploring blockchain and AI to attract investors. Cityscape Intelligence | Real Estate Investment Trends & Insights. https://www.cityscape-intelligence.com/proptech/bahrains- real-estate-sector-exploring-blockchain-and-ai-attract-investors [3] AL MANSOORI, H. M., ALSAUD, A. B., & YAS, H. (2021). The Impact of Covid 19 on Increasing the Cost of Labor and Project Price in the United Arab Emirates. International Journal of Pharmaceutical Research (09752366), 13(1). [4] Ashraf, B. N. (2020). Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets. Journal of Behavioral and Experimental Finance, 27, 100371. https://doi.org/10.1016/j.jbef.2020.100371 [5] Bin Faqeeh. (2020, February 10). Blog: The Artificial Intelligence Boom in Bahrain. Blog | The Artificial Intelligence Boom in Bahrain. https://binfaqeeh.com/blog/details/the-artificial-intelligence-boom-in-bahrain [6] Bragazzi, N. L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., & Wu, J. (2019). How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 17(9), 3176. https://doi.org/10.3390/ijerph17093176 [7] Bricker, A. (2021, January 9). Q&A: How Bahrain plans to be a regional AI leader. CIO. https://www.cio.com/article/191083/qanda-how-bahrain-plans-to-be-a-regional-ai-leader.html [8] Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact. IEEE Access, 8, 90225–90265. https://doi.org/10.1109/access.2020.2992341 [9] EDB Bahrain. (2020, September 3). Innovation flows to Bahrain through the Digital Silk Road. Invest in Bahrain. https://www.bahrainedb.com/bahrain-pulse/innovation-flows-to-bahrain-through-the-digital-silk-road [10] Elgin, C., Yalaman, A., & Basbug, G. (2020, May 7). Economic policy responses to a pandemic: Developing the COVID- 19 economic stimulus index. CEPR. https://cepr.org/voxeu/columns/economic-policy-responses-pandemic-developing- covid-19-economic-stimulus-index [11] Guardian News and Media. (2023b, February 8). US experts warn AI likely to kill off jobs – and widen wealth inequality. The Guardian. https://www.theguardian.com/technology/2023/feb/08/ai-chatgpt-jobs-economy-inequality [12] J. I. Khan, J. Khan, F. Ali, F. Ullah, J. Bacha and S. Lee, "Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review," in IEEE Access, vol. 10, pp. 62613-62660, 2022, doi: 10.1109/ACCESS.2022.3181605. [13] Jaumotte, F., Oikonomou, M., Pizzinelli, C., & Tavares, M. M. (2023, March 21). How pandemic accelerated digital transformation in advanced economies. IMF. https://www.imf.org/en/Blogs/Articles/2023/03/21/how-pandemic- accelerated-digital-transformation-in-advanced-economies [14] Kaye, A. D., Okeagu, C. N., Pham, A. D., Silva, R. A., Hurley, J. J., Arron, B. L., Sarfraz, N., Lee, H. N., Ghali, G. E., Gamble, J. W., Liu, H., Urman, R. D., & Cornett, E. M. (2021). Economic impact of COVID-19 pandemic on healthcare facilities and systems: International perspectives. Best Practice & Research Clinical Anaesthesiology, 35(3), 293–306. https://doi.org/10.1016/j.bpa.2020.11.009 [15] Kumar, A., Gupta, P. K., & Srivastava, A. (2020). A review of modern technologies for tackling COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 569–573. https://doi.org/10.1016/j.dsx.2020.05.008 [16] Maital Shlomo, Barzani Ella. The Global Economic Impact of COVID-19 Summary of Research Haifa Israel: Samuel Neaman Institute, 2020. https://www.neaman.org.il/EN/The-Global-Economic-Impact-of-COVID-19-A-Summary-of- Research [17] M., S.K., V., M., J., P., M., P., P., J., P., S., M.B., B.A.M. and Jothikumar, R. (2020), "Social-economic impact of COVID-19 outbreak in India", International Journal of Pervasive Computing and Communications, Vol. 16 No. 4, pp. 309- 319. https://doi.org/10.1108/IJPCC-06-2020-0053 [18] Nasir, M., Talha, K. A., Chowdhury, A. S., Zahan, T., & Perveen, R. A. (2020). Prevalence, Pattern and Impact of Self Medication of Anti-infective Agents During COVID-19 Outbreak in Dhaka City. https://doi.org/10.21203/rs.3.rs- 57011/v1 [19] Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021). Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey. IEEE Access, 9, 95730–95753. https://doi.org/10.1109/access.2021.3093633 [20] Ribeiro, A., Lendzhova, V., Vyšniauskienė, S., Ferreira, T., Sousa, J., Roque, I., Kõiv, K., Saks, K., Agahi, O., Prieto‐Flores, Ò., & O’Higgins, N. (2024). Public Employment Services' Responses to the Pandemic: Examples from Portugal, Bulgaria, and Lithuania. Politics and Governance, 12. doi: https://doi.org/10.17645/pag.7437 https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1371/journal.pone.0259362 https://www.cityscape-intelligence.com/proptech/bahrains-real-estate-sector-exploring-blockchain-and-ai-attract-investors https://www.cityscape-intelligence.com/proptech/bahrains-real-estate-sector-exploring-blockchain-and-ai-attract-investors https://doi.org/10.1016/j.jbef.2020.100371 https://binfaqeeh.com/blog/details/the-artificial-intelligence-boom-in-bahrain https://doi.org/10.3390/ijerph17093176 https://www.cio.com/article/191083/qanda-how-bahrain-plans-to-be-a-regional-ai-leader.html https://doi.org/10.1109/access.2020.2992341 https://www.bahrainedb.com/bahrain-pulse/innovation-flows-to-bahrain-through-the-digital-silk-road https://cepr.org/voxeu/columns/economic-policy-responses-pandemic-developing-covid-19-economic-stimulus-index https://cepr.org/voxeu/columns/economic-policy-responses-pandemic-developing-covid-19-economic-stimulus-index https://www.theguardian.com/technology/2023/feb/08/ai-chatgpt-jobs-economy-inequality https://www.imf.org/en/Blogs/Articles/2023/03/21/how-pandemic-accelerated-digital-transformation-in-advanced-economies https://www.imf.org/en/Blogs/Articles/2023/03/21/how-pandemic-accelerated-digital-transformation-in-advanced-economies https://doi.org/10.1016/j.bpa.2020.11.009 https://doi.org/10.1016/j.dsx.2020.05.008 https://www.neaman.org.il/EN/The-Global-Economic-Impact-of-COVID-19-A-Summary-of-Research https://www.neaman.org.il/EN/The-Global-Economic-Impact-of-COVID-19-A-Summary-of-Research https://www.emerald.com/insight/search?q=Sandeep%20Kumar%20M. https://www.emerald.com/insight/search?q=Maheshwari%20V. https://www.emerald.com/insight/search?q=Prabhu%20J. https://www.emerald.com/insight/search?q=Prasanna%20M. https://www.emerald.com/insight/search?q=Jayalakshmi%20P. https://www.emerald.com/insight/search?q=Suganya%20P. https://www.emerald.com/insight/search?q=Benjula%20Anbu%20Malar%20M.B. https://www.emerald.com/insight/search?q=R.%20Jothikumar https://www.emerald.com/insight/publication/issn/1742-7371 https://doi.org/10.1108/IJPCC-06-2020-0053 https://doi.org/10.21203/rs.3.rs-57011/v1 https://doi.org/10.21203/rs.3.rs-57011/v1 https://doi.org/10.1109/access.2021.3093633 https://doi.org/10.17645/pag.7437 4087 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate [21] REBELLION RESEARCH ADVISORS. (2020, February 26). Bahrain ... Bahrain Embraces Technology, Ai & the Future. https://blog.rebellionresearch.com/blog/bahrain-embraces-technology-ai-the-future [22] Kamruzzaman, M. M. (2022). Impact of Social Media on Geopolitics and Economic Growth: Mitigating the Risks by Developing Artificial Intelligence and Cognitive Computing Tools. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/7988894 [23] König, M., & Winkler, A. (2021). The impact of government responses to the COVID-19 pandemic on GDP growth: Does strategy matter? PLOS ONE, 16(11), e0259362. https://doi.org/10.1371/journal.pone.0259362 [24] Shamman, A. H., Hadi, A. A., Ramul, A. R., Abdul Zahra, M. M., & Gheni, H. M. (2023). The artificial intelligence (AI) role for tackling against COVID-19 pandemic. Materials Today: Proceedings, 80, 3663–3667. https://doi.org/10.1016/j.matpr.2021.07.357 [25] Sharifi, A., Reza, A., & Kummitha, R. K. (2020). Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review. Sustainability, 13(14), 8018. https://doi.org/10.3390/su13148018 [26] Thomson, C. G., Figueras, J. H., & Grawe, B. M. (2022). Artificial intelligence. Translational Sports Medicine, 87-92. https://doi.org/10.1016/B978-0-323-91259-4.00036-9 [27] Winkelmann, J., Webb, E., Williams, G. A., Hernández-Quevedo, C., Maier, C. B., & Panteli, D. (2022). European countries’ responses in ensuring sufficient physical infrastructure and workforce capacity during the first COVID-19 wave. Health Policy, 126(5), 362–372. https://doi.org/10.1016/j.healthpol.2021.06.015 [28] World investment report 2023. UNCTAD. (2023, July 5). https://unctad.org/publication/world-investment-report-2023 [29] Bengana, I., Mili, K., Alnefaie, A. H., Khababa, N., Mehaouat, L., & khedir, Z. (2024). The Impact of Inflation on the Performance of Stock Markets in the Gulf Cooperation Council Countries. Journal of Ecohumanism, 3(6), 347–354. https://doi.org/10.62754/joe.v3i6.4005 [30] Mili, Khaled. (2024). Container Classification: A Hybrid AHP-CNN Approach for Efficient Logistics Management. Journal of Maritime Research, Vol. 21(No. 2), 381–388. https://www.jmr.unican.es/index.php/jmr/article/view/666 [31] Mili, K. (2024). Optimizing Supply Chain Network Design Under Uncertainty: A Practical Methodology for Sustainable Value Creation. Journal of Ecohumanism, 3(3), 1574–1586. https://doi.org/10.62754/joe.v3i3.3330 [32] El Bachir, M., Mili, K., Bengana, I., & Benaouali, I. (2024). Predicting Financial Failure in Algerian Public Insurance Companies Using the Kida Model. Journal of Applied Data Sciences, 5(2), 508-519. doi:https://doi.org/10.47738/jads.v5i2.212 [33] Mili, K., Bengana, I., Ouassaf, S., & Kabdi, M. (2024). Testing the co-integration relationship between auto insurance premiums and risk compensation amount. Computers in Human Behavior Reports, 13, 100377. https://doi.org/10.1016/j.chbr.2024.100377 [34] MILI, Khaled. (2023). Dynamic container relocation problem. Journal of Maritime Research, Vol. 21(No. 1), 23–29. https://www.jmr.unican.es/index.php/jmr/article/view/754 [35] Habib, S., Abdelmonen, S. & Khaled, M. The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis. J Knowl Econ 11, 788–804 (2020). https://doi.org/10.1007/s13132-018-0571-8 [36] Khaled Mili and Abdel Monem Snoussi. The Link between Six Sigma and Business Performance. Chapter 4 in the book: Understanding Six Sigma: Concepts, Applications and Challenges. ISBN: 978-1-53614-175-7 (2018). https://novapublishers.com/shop/understanding-six-sigma-concepts-applications-and-challenges/ [37] MILI, K. and GASSARA, M. Multiple Straddle Carrier Routing Problem. Journal of Maritime Research, [S.l.], v. 12, n. 2, p. 63-70, (2017). ISSN 1697-9133. https://www.jmr.unican.es/index.php/jmr/article/view/303. [38] Mili, K. Solving the straddle carrier routing problem using Six Sigma methodology. International Journal of Process Management and Benchmarking, 7, 371-396. (2017). https://doi.org/10.1504/IJPMB.2017.084909 [39] Markram KRIT and Khaled MILI, Expectation-Maximization Algorithms for Obtaining Estimations of Generalized Failure Intensity Parameters. International Journal of Advanced Computer Science and Applications (IJACSA), 7(1), (2016). http://dx.doi.org/10.14569/IJACSA.2016.070158 [40] Khaled Mili, Six Sigma Approach for the Straddle Carrier Routing Problem. in Procedia-Social and Behavioural Sciences (2014). https://doi.org/10.1016/j.sbspro.2014.01.154 [41] Khaled MILI and Faissal MILI, Genetic procedure for the Single Straddle Carrier Routing Problem. International Journal of Advanced Computer Science and Applications (IJACSA), 3(11), (2012). http://dx.doi.org/10.14569/IJACSA.2012.031104 [42] Adeleye, B.N., Bengana, I., Boukhelkhal, A. et al. Does Human Capital Tilt the Population-Economic Growth Dynamics? Evidence from Middle East and North African Countries. Soc Indic Res 162, 863–883 (2022). https://doi.org/10.1007/s11205-021-02867-5 [43] Boukhelkhal, A ,Bengana, I (2018), Cointegration and causality among electricity consumption, economic, climatic and environmental factors: Evidence from North -Africa region, Energy, Volume 163, Pages 1193-1206, https://doi.org/10.1016/j.energy.2018.08.163. [44] Midoun, S Bengana, I (2018), Digital and free trade zones impact on Malaysia’s economy and its prospects (2000–2018), International Journal of Economics and Financial Issues 8 (4), 39, t http: www.econjournals.com. [45] Semlali, Y Bellali, A Ouassaf S, Guendouz A, Elrayah M, Khababa K, Bengana I (2023), Challenges of the public-private sector partnership in higher education (KFU cases): SEModelling approach, Computers in Human Behavior Reports, 100279, ISSN 2451-9588, https://doi.org/10.1016/j.chbr.2023.100279. [46] Bengana, I; Adeleye, N.B; Si Mohammed, K; Elnour Salim, Eltahir Ibrahim; Semlal, Y; Elrayah, M (2024), Artificial Intelligence, Human Capital Development And Economic Performance In Saudi Arabia (1990-2019), Journal of Namibian Studies, https://blog.rebellionresearch.com/blog/bahrain-embraces-technology-ai-the-future https://doi.org/10.1155/2022/7988894 https://doi.org/10.1371/journal.pone.0259362 https://doi.org/10.1016/j.matpr.2021.07.357 https://doi.org/10.3390/su13148018 https://doi.org/10.1016/B978-0-323-91259-4.00036-9 https://doi.org/10.1016/j.healthpol.2021.06.015 https://unctad.org/publication/world-investment-report-2023 https://doi.org/10.62754/joe.v3i6.4005 https://www.jmr.unican.es/index.php/jmr/article/view/666 https://doi.org/10.62754/joe.v3i3.3330 https://doi.org/10.47738/jads.v5i2.212 https://doi.org/10.1016/j.chbr.2024.100377 https://www.jmr.unican.es/index.php/jmr/article/view/754 https://doi.org/10.1007/s13132-018-0571-8 https://novapublishers.com/shop/understanding-six-sigma-concepts-applications-and-challenges/ https://www.jmr.unican.es/index.php/jmr/article/view/303 https://doi.org/10.1504/IJPMB.2017.084909 https://dx.doi.org/10.14569/IJACSA.2016.070158 https://doi.org/10.1016/j.sbspro.2014.01.154 https://dx.doi.org/10.14569/IJACSA.2012.031104 https://doi.org/10.1007/s11205-021-02867-5 https://doi.org/10.1016/j.energy.2018.08.163. http://www.econjournals.com./ https://doi.org/10.1016/j.chbr.2023.100279. 4088 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 8, No. 6: 4078-4088, 2024 DOI: 10.55214/25768484.v8i6.2898 © 2024 by the authors; licensee Learning Gate [47] Khababa, N. , Mekimah, S. ., Zighed, R. ., Bengana, I. ., Alrawad, M. ., & Benaouli, I. . (2024). Neural Network Modelling of Organizational Capabilities in Achieving Sustainable Competitive of Start-Up. Journal of Ecohumanism, 3(4), 1075– 1087. https://doi.org/10.62754/joe.v3i4.3623. [48] Ouassaf S, Bengana I, Laallam A, Khababa N, Si Mohammed K (2024): Macroeconomic factors influencing the Saudi balance of payments from 1995 to 2019. Public and Municipal Finance, 2024, 13(1), pp. 106–123 https://doi.org/10.62754/joe.v3i4.3623