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How Technology is Shaping the Future of Consumer Credit

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Consumer credit has been constantly evolving for more than 5,000 years, but the reality is that the most drastic changes to the industry came fairly recently.

Modern credit systems are now powered by sophisticated algorithmic credit scoring, the use of trended and alternative data, and innovative fintech applications. While these developments are all interesting in their own right, together they serve as a technological foundation for a much more profound shift in consumer credit in the coming years.

The Future of Consumer Credit

In today’s infographic from Equifax, we look at the cutting edge of consumer credit, including the new technologies and global trends that are shaping the future of how consumers around the world will access credit.

It’s the final piece of our three-part series covering the past, present, and future of credit.

Part 1: The History of Consumer CreditPart 2: Modern CreditPart 3: Future
How Technology is Shaping the Future of Consumer Credit
Part 1: The History of Consumer CreditPart 2: Modern CreditPart 3: Future

The biggest problem that creditors have always faced is well-documented. There is more to a borrower than just their credit score. Yet creditors do not always have a 360 degree view of a consumer’s creditworthiness in order to better assess their overall score.

Called “information asymmetry”, this gap has gotten smaller over the years thanks to advancements in technology and business practices. However, it still persists in particular situations, like when a college student has no credit history, or when a rural farmer in India wants to take out a loan to buy seeds for crops.

But thanks to growing amounts of data – as well as the technology to make use of that data – high levels of information asymmetry may soon be a thing of the past.

Forces Shaping Credit’s Future

Here are some of the major forces that will drive the future of consumer credit, addressing the information asymmetry problem and making a wide variety of credit products available to the public:

1. Growing Data
90% of the data in all of human history has been created in just the last two years.

2. Changing Regulatory Landscape
New international regulations are putting personal data back in the hands of consumers, who can control the personal data they authorize access to.

3. Game-changing Technologies
Machine learning, deep learning, and neural networks are giving companies a way to garner insights from data.

4. Focus on Identity
Authenticating the identity of consumers will become crucial as credit becomes increasingly digital. Blockchain and biometrics could play a role.

5. The Fintech Boom
The democratization of data and tech is allowing small and niche players to come in and offer new, innovative products to consumers.

The Credit Revolution

No one can predict the future, but the above forces are shaping the credit industry to be a very different experience for consumers and businesses. Here are how things could change.

More Data, New Models

Current credit scoring algorithms use logistical regressions to compute scores, but these really max out at using 30-50 variables. In addition, these models can’t “learn” new things like AI can.

However, with new technologies and an unprecedented explosion in data taking place, it means that this noise can be converted into insights that could help increase trust in the credit marketplace. New algorithms will be multivariate, and they will be able to mine, structure, weight, and use this treasure trove of data.

TechnologyDescription
Artificial intelligenceMachine learning can “learn” from massive data sets, and apply these lessons for better scoring.
BayesianModels can update probabilities as more information is available, helping to better predict creditworthiness.
APIsApplication programming interfaces (APIs) make it easier for developers to use technologies, data, and to build new applications.
Neural networksBrain-inspired AI systems designed to replicate the way that humans learn are used for deep learning. This enables the processing of raw, unstructured, and often abstract data for new insights.

Neural networks will be able to look at a billions of data points to find and make sense of extremely rare patterns. They will also be able to explain why a particular decision was made – and at a time where transparency is crucial, this will be key.

Data Will be in the Hands of Consumers

Today, much of consumers’ financial data – such as loan repayment histories – is held almost exclusively by banks and credit agencies.

However, tomorrow points to a very different paradigm: much of the data will be directly in the hands of consumers. In other words, consumers will be able to decide how their data gets used, and for what. In Europe, changes have already been made to transfer control of personal data to the consumer, such as the PSD2, GDPR, and Open Banking (U.K.) initiatives.

Experts see the trend towards open data growing globally, and eventually reaching the United States. Open data will allow consumers to:

  • Regain control of checking, mortgage, loan, and credit card data
  • Give up more information voluntarily to unlock better deals from creditors
  • Grant access to third parties (fintech, apps, etc.) to use this data in new applications and products
  • Gain access to better rates, new lending models, and more

Identity Will Be Just as Important

As transactions become more digital and remote, how lenders verify the identity of borrowers will be just as important as the lending data itself.

Why? Credit is based around trust – and fraud is the biggest risk for lenders.

But fraud an be prevented by new technologies that help detect anomalies and prove a borrower’s identity:

Blockchain
Distributed, tamper-resistant databases can help secure people’s identities from fraudulent activity

Biometrics
Fingerprints, facial recognition, and other biometric identification schemes could help secure identities as well

New Game, New Players

With the vast expansion in types and volume credit data, new technologies, and standardized data in the hands of consumers, there will be a new era of third-party companies and apps that can provide useful and relevant services for consumers.

Here are just some emerging fields in lending:

Emerging fieldsDescription
P2P LoansDoes a bank need to be an intermediary?
With peer-to-peer loans, you are matched to an appropriate lender/borrower.
MicrolendingLending doesn’t always need to be in big amounts, like for a mortgage or auto loan.
Alternative credit scoringPsychometric testing or the use of other data streams can be used to power this less traditional form of lending.
Niche servicesWith an open playing field, companies will fill every gap imaginable.

In the future, consumers may not have to even request credit – it may be automatically allocated to them based on behavior, age, assets, and needs.

Consumers will have more control, and more options than ever before.

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Technology

Nvidia is Worth More Than All of These Companies Combined

Gain a unique perspective on the market cap of Nvidia in this simple graphic.

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Putting the Market Cap of Nvidia Into Perspective

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Nvidia’s massive rise in the AI era has been well-documented, but did you know that it’s currently the world’s third most valuable company?

To put the massive market cap of Nvidia into perspective, we’ve put it side by side with a collection of other major U.S. tech companies.

All figures were sourced from Companiesmarketcap.com, and are as of May 23, 2024.


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Data and Takeaways

All of the numbers we used to create this graphic are included in the table below.

CompanyMarket Cap
(as of May 23, 2024)
Nvidia$2.5T
Meta$1.2T
Tesla$553B
Netflix$272B
AMD$257B
Intel$128B
IBM$157B

These figures are even more impressive when you consider that at the beginning of 2020, Nvidia was valued at a relatively tiny $145 billion.

Since then, the company has greatly surpassed other American chipmakers like Intel and AMD. This growth is due to several key factors:

  • Expansion into AI and data centers: Nvidia’s chips are highly effective for AI training, making them essential for companies engaged in machine learning and generative AI
  • Advancements in AI software: Nvidia has developed AI software platforms, such as CUDA-X and TensorRT, which are widely used by researchers.
  • Strong financial performance: Nvidia has consistently delivered strong financial results in recent years, with substantial revenue growth.

Closing in on Apple

With Nvidia’s latest stock surge (up 13.5% over the past five days ending May 24, 2024), the company could possibly overtake Apple to become the world’s second most valuable company.

Microsoft, another major player in AI, holds the #1 spot with a market cap of $3.2 trillion.

See More Visuals on Nvidia

If you enjoyed this graphic, be sure to check out this graphic that breaks down Nvidia’s revenue by product line, from 2019 to 2024.


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