Cloud Computing : Today and Tomorrow

Abstract

Cloud computing has grown into more than just a way to store data. It now has an impact on many parts of our lives, like healthcare, finance military plans, and world trade. This essay reveals the hidden effects of cloud computing. It shows how people use it in AI-powered gene editing, stock market tricks, drone wars, and widespread spying. As cloud AI becomes a bigger part of how we make choices, we face big ethical and security issues. These include problems with control, privacy, and risks that can hurt systems on a large scale. By finding and looking at these new trends, this paper stresses the need to act fast for openness, rules, and moral guidance in the changing world of cloud computing.

Introduction

Cloud computing has evolved from a mere data storage solution to a pivotal force driving advancements across various sectors, including healthcare, finance, cybersecurity, and governance. While it offers numerous benefits, the integration of artificial intelligence (AI) into cloud infrastructures introduces complex ethical, security, and governance challenges.

Healthcare & Human Biology: AI's Role in Life Sciences

Cloud-based AI is revolutionizing healthcare by enabling the analysis of vast genetic datasets, predicting disease trajectories, and facilitating personalized medicine. Institutions like DeepMind and DARPA are developing AI systems capable of diagnosing diseases years before clinical detection. However, this progress raises concerns about data privacy, informed consent, and the potential for misuse in genetic engineering, which could lead to biohacking or the creation of synthetic diseases .kpmg.com

Predicting Lifespan & Influencing Healthcare Decisions

AI models in cloud computing can predict individual health outcomes, including lifespan and disease onset, by analyzing medical histories and genomic data. While these predictions can inform preventive care, they also pose risks of discrimination by insurers or healthcare providers, potentially affecting access to care and coverage .

Synthetic Viruses & Digital Bio-Weapons

The convergence of AI and cloud computing has enabled the creation of synthetic pathogens and the simulation of disease spread. While this capability can aid in vaccine development and pandemic preparedness, it also presents the threat of engineered bioweapons, raising questions about the ethical use of AI in biotechnology .

Finance & Economics: AI's Control Over Global Markets

AI-driven cloud platforms dominate financial markets, with algorithms executing trades at speeds and volumes beyond human capability. This dominance allows financial institutions to manipulate markets and assess creditworthiness without human oversight, potentially exacerbating economic inequalities and introducing systemic risks .

Military & Cyber Warfare: AI as a Weapon

Cloud-based AI has transformed military operations, enabling autonomous drones and cyber-attacks that can incapacitate infrastructure and alter geopolitical dynamics. The increasing reliance on AI in warfare blurs the lines between defense and aggression, raising concerns about accountability and the ethical use of AI in combat kpmg.com.

E-Commerce & Data Control: AI's Influence on Consumer Behavior

E-commerce platforms utilize AI to analyze consumer data and predict purchasing behaviors, often before the consumer is aware. While this enhances convenience, it also raises ethical concerns about privacy, autonomy, and the extent to which consumer choices are influenced by AI-driven recommendations .

Cloud Computing: Infrastructure and Market Dynamics

The cloud computing industry is dominated by a few major players, raising concerns about monopolistic practices and the concentration of power. While these companies offer scalable and flexible computing resources, their dominance limits transparency and public oversight, posing risks to innovation and security .ft.com

Ethical Considerations and Governance

The integration of AI into cloud computing necessitates robust ethical frameworks and governance structures to address issues of privacy, bias, accountability, and transparency. Establishing clear guidelines and regulations is essential to ensure that AI technologies are developed and deployed responsibly, balancing innovation with the protection of individual rights and societal values .

Conclusion

In conclusion, while AI-powered cloud computing offers transformative potential across various sectors, it also presents significant ethical, security, and governance challenges. Addressing these issues requires a collaborative approach involving policymakers, industry leaders, and the public to ensure that AI technologies are developed and utilized in ways that benefit society as a whole.

References

[1] Michael Armbrust, “Above the Clouds: A Berkeley View of Cloud Computing”. [2] Peter Mell & Timothy Grance, “A View of Cloud Computing”. [3] Ian Foster, \"The Case for Cloud Computing\". [4] Subashini & Kavitha, \"Security Challenges in Cloud Computing\". [5] Santos et al., \"Towards Trusted Cloud Computing\". [6] Beloglazov et al., \"Energy-Efficient Cloud Computing\". [7] Luiz André Barroso & Urs Hölzle, \"The Datacenter as a Computer\". [8] Lynn et al. (Springer, 2019), \"Serverless Computing: Current Trends and Open Problems\".

Copyright

Copyright © 2025 Pritam Roy Karmakar, Deepyaman Ghosh, Joy Chakraborty, Sagnik Bhattacharjee, Rupa Saha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.