top of page
Search

Data Is the New Gold in the AI Era

  • Dell D.C. Carvalho
  • Apr 2
  • 2 min read

A Real-World Example

In 2018, Cambridge Analytica accessed data from over 87 million Facebook users without their consent. The company used this information to influence voter behavior in the U.S. presidential election. The scandal revealed how valuable personal data had become in shaping opinions and decision-making. Facebook later faced a $5 billion fine from the Federal Trade Commission (FTC), underscoring the financial and legal stakes tied to data privacy and use¹.


Robot with a pickaxe digs up gold in a rocky landscape, under an orange sky with clouds. Red eyes, metal body, and a determined vibe.

The Rising Value of Data

AI models rely on large amounts of data to function. Training algorithms need billions of data points to make accurate predictions. For example, OpenAI’s GPT-4 was trained on 1.7 trillion parameters, far more than its predecessor GPT-3, which had 175 billion parameters². This exponential growth in data usage reflects the increasing demand for high-quality information.


Data-driven AI applications have also transformed industries. In healthcare, AI-assisted diagnostics reduce errors and speed up analysis. A study found that an AI model detected breast cancer with 94% accuracy, compared to 88% for human radiologists³. In finance, hedge funds using AI-generated insights outperform traditional funds, with some seeing annual returns above 20%⁴.


Who Controls the Data?

Tech companies control much of the world’s data. Google processes over 8.5 billion searches per day⁵. Amazon gathers vast amounts of consumer behavior data through its e-commerce platform. This concentration of information creates power imbalances, leading governments to impose stricter regulations. The European Union’s General Data Protection Regulation (GDPR) has resulted in over $3 billion in fines since its enforcement in 2018⁶.


The Future of Data Ownership

Companies and governments now see data as a strategic asset. China’s Personal Information Protection Law (PIPL), enacted in 2021, restricts how companies handle personal data. The U.S. is considering similar federal laws to regulate AI-driven data use. As AI advances, securing access to quality data will determine which companies and nations lead the next technological wave.



References

  1. Federal Trade Commission, 2019. "FTC Imposes $5 Billion Penalty and Sweeping New Privacy Restrictions on Facebook."

  2. OpenAI, 2023. "GPT-4 Technical Report."

  3. McKinney et al., 2020. "International Evaluation of an AI System for Breast Cancer Screening."

  4. Bloomberg, 2023. "AI-Powered Hedge Funds Are Outperforming Traditional Managers."

  5. Google Search Trends, 2024.

  6. European Data Protection Board, 2024. "GDPR Enforcement Statistics."

 
 
 

Comments

Rated 0 out of 5 stars.
No ratings yet

Add a rating

© 2024 Dailectics Lab

bottom of page