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Home » Is Data the New Oxygen—or the New Poison?

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Is Data the New Oxygen—or the New Poison?

SA News
Last updated: September 11, 2025 11:05 am
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Is Data the New Oxygen—or the New Poison?
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In today’s growing technological landscape, the power of possessing large data has gained worldwide attention. Data and its usage has evolved as a trump card in powering economies, businesses and everyday life. From sharing personalised shopping choices to life saving healthcare insights, data can turn toxic. Yet, the same data can also be misused — raising data privacy issues, security lapses and ethical concerns. The question still hangs in balance — Is data truly the oxygen for progress, or the poison harming society?

Contents
  • The Double-Edged Nature of Data
  • Big Data Impact on Society
    • Benefits of Data Analytics Trends
    • Negative Impacts
  • Data Privacy Issues: The Growing Concern
  • Data Security Importance
  • Data Ethics: Balancing Power and Responsibility
  • Conclusion

The Double-Edged Nature of Data

As we have already discussed, data is used as a resource for humanity and also manipulated as a threat as well: 

  • As Oxygen: Data is used by various organisations and government agencies to make better policies, personalised choices and suggest personalised treatments in healthcare as well.
  • As Poison: Data can also be misused for collecting more information and spreading misinformation. While collecting data, the risks of data privacy and security also comes with it.

Big data is capable of generating $3 trillion in value across multiple industries (McKinsey). Yet, the same volume of data increases exposure to cybercrime, causing loss of $6 trillion annually by 2021 according to Cybersecurity Ventures.

Big Data Impact on Society

Benefits of Data Analytics Trends

  • Predictive analytics: Data can be used to predict diseases before arrival and suggest early diagnosis.
  • Traffic Optimisation: Data optimisation can be used to reduce traffic congestion by analysing traffic patterns across the city.
  • Consumer Insights: Data across various e-commerce platforms can be used to offer personalised choices on the basis of their search history and preferences.

Negative Impacts

  • Privacy Concerns: Social media platforms make use of personal information from data sets for targeted advertising.
  • Bias and Inequality: Data sets along with algorithms can also be used to create discrimination chaos.
  • Surveillance Risks: Governments can also collect and monitor citizen data using their government portals, altering the right to privacy.

Data Privacy Issues: The Growing Concern

According to the Pew Research Center, data privacy is a major concern for about 79% of Americans. Key issues include:

  • Unauthorised sharing of personal data.
  • Lack of transparency in consent policies.
  • Weak regulations in emerging markets.

For individuals, this means less control over their digital identity. For businesses, it means potential legal concerns, penalties, and loss of trust.

Data Security Importance

The growing need of digital footprint of individuals across every sector and the arrival of AI and ML has made digitalisation mandatory. This huge dependency and varied usage has raised equal concerns for data security and its safety across various platforms. Cyberattacks are escalating with this digital overload. The World Economic Forum (WEF) ranks cybersecurity failure among the top global risks. Companies must:

  • Encrypt sensitive data.
  • Adopt zero-trust frameworks.
  • Regularly audit and update systems.

Data storage and usage is a very delicate and critical aspect of elevating the overall brand market value. Failure to secure data not only results in financial loss but also vanishes brand reputation.

Data Ethics: Balancing Power and Responsibility

The responsible use of data ensures fairness, accountability, and transparency, making it ethically crucial. Some pressing ethical dilemmas include:

  • Is our data the real cost of using services from major tech giants like Google and Meta?
  • Can AI decisions be trusted if data itself is biased?
  • Where should the line be drawn between personalisation and manipulation?

Ethical frameworks like the EU’s GDPR and OECD privacy guidelines are early steps, but global data usage is still uneven.

Conclusion

So, is data the new oxygen—or the new poison? The answer lies in how it’s collected, managed, and used. The effective use of data can help in triggering innovation and progress but its misuse can become a threat to privacy, ethics and security. The future of data lies in its responsible usage aligning it with security factors as well.

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