Infographic: How Technology is Shaping the Future of Consumer Credit
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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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The Top Downloaded Apps in 2022

Six of the top 10 most downloaded apps in Q1 2022 were social media apps, and four of them are owned by Meta.

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The most popular apps in Q1 2022, by number of downloads

The Top Downloaded Apps in 2022

Whether they’re providing a service like ride-sharing or acting as a mere source of entertainment, mobile apps have become an integral part of many peoples’ day-to-day lives.

But which apps are most popular among users?

This graphic uses data from a recent report by Sensor Tower to show the top 10 most downloaded apps around the world in Q1 2022 from the Google Play and Apple App Store.

Social Reigns Supreme

According to the report, total app downloads reached 36.9 billion in Q1 2022, a 1.4% increase compared to Q1 2021.

A majority of the top 10 most downloaded apps were social media platforms, with Meta and ByteDance owning six of the top 10.

RankAppCategory
1TikTokEntertainment
2InstagramPhoto and video
3FacebookSocial networking
4WhatsAppMessaging
5ShopeeShopping
6TelegramMessaging
7SnapchatPhoto and video
8MessengerMessaging
9CapCutPhoto and video
10SpotifyMusic

Meta’s four platforms on the list are Instagram, Facebook, WhatsApp, and Messenger, while ByteDance owns TikTok and video-editing platform CapCut.

Just outside the top 10 are Zoom and WhatsApp Business (yet another Meta-owned app).

TikTok’s Winding Road to the Top

In Q1 2021, TikTok exceeded 3.5 billion all-time downloads, becoming the fifth app (and the first non-Meta app) to reach this milestone. This is impressive considering the app has been banned in India as of June 2020. Prior to the ban, India accounted for 30% of TikTok’s downloads.

India’s not the only country that’s banned the use of TikTok. Pakistan has blocked TikTok multiple times because of concerns over “inappropriate” content. However, it’s worth noting that the bans in Pakistan only lasted a few days before being lifted, and currently, Pakistanis are able to access the platform.

Top 10 Highest Grossing Apps

TikTok isn’t just the most downloaded app in the world—it’s also the highest-grossing non-game app, based on Q1 2022 revenue from the App Store and Google Play:

RankAppCategory
1TikTokEntertainment
2YouTubePhoto and video
3Disney+Entertainment
4Google OneProductivity
5TinderLifestyle
6PiccomaBooks
7Tencent VideoEntertainment
8iQIYIEntertainment
9HBO MaxEntertainment
10LINE MangaEntertainment

TikTok generated an impressive $821 million in consumer spending in the last quarter. The video-sharing platform was the top-grossing app on the App Store, and the second-highest-grossing on Google Play, coming just after Google One.

While none of Meta’s platforms made it onto the top 10 list for gross revenue, these platforms make a ton of money that doesn’t necessarily flow through app stores. In 2021, Meta generated more than $117.9 billion in revenue, with over 97% of that coming from ads.

Growth’s on the Horizon

The pandemic had a massive impact on the app market.

In 2020, app spending on things like premium access, in-app purchases, and subscriptions surged by 30% year-over-year to reach $111 billion.

And while COVID-19 restrictions are easing in most places around the world, app spending isn’t likely to taper off anytime soon. By 2025, spending is expected to grow to $270 billion.

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Synthetic Biology: The $3.6 Trillion Science Changing Life as We Know It

The field of synthetic biology could solve problems in a wide range of industries, from medicine to agriculture—here’s how.

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How Synthetic Biology Could Change Life as we Know it

Synthetic biology (synbio) is a field of science that redesigns organisms in an effort to enhance and support human life. According to one projection, this rapidly growing field of science is expected to reach $28.8 billion in global revenue by 2026.

Although it has the potential to transform many aspects of society, things could go horribly wrong if synbio is used for malicious or unethical reasons. This infographic explores the opportunities and potential risks that this budding field of science has to offer.

What is Synthetic Biology?

We’ve covered the basics of synbio in previous work, but as a refresher, here’s a quick explanation of what synbio is and how it works.

Synbio is an area of scientific research that involves editing and redesigning different biological components and systems in various organisms.

It’s like genetic engineering but done at a more granular level—while genetic engineering transfers ready-made genetic material between organisms, synbio can build new genetic material from scratch.

The Opportunities of Synbio

This field of science has a plethora of real-world applications that could transform our everyday lives. A study by McKinsey found over 400 potential uses for synbio, which were broken down into four main categories:

  • Human health and performance
  • Agriculture and food
  • Consumer products and services
  • Materials and energy production

If those potential uses become reality in the coming years, they could have a direct economic impact of up to $3.6 trillion per year by 2030-2040.

1. Human Health and Performance

The medical and health sector is predicted to be significantly influenced by synbio, with an economic impact of up to $1.3 trillion each year by 2030-2040.

Synbio has a wide range of medical applications. For instance, it can be used to manipulate biological pathways in yeast to produce an anti-malaria treatment.

It could also enhance gene therapy. Using synbio techniques, the British biotech company Touchlight Genetics is working on a way to build synthetic DNA without the use of bacteria, which would be a game-changer for the field of gene therapy.

2. Agriculture and Food

Synbio has the potential to make a big splash in the agricultural sector as well—up to $1.2 trillion per year by as early as 2030.

One example of this is synbio’s role in cellular agriculture, which is when meat is created from cells directly. The cost of creating lab-grown meat has decreased significantly in recent years, and because of this, various startups around the world are beginning to develop a variety of cell-based meat products.

3. Consumer Products and Services

Using synthetic biology, products could be tailored to suit an individual’s unique needs. This would be useful in fields such as genetic ancestry testing, gene therapy, and age-related skin procedures.

By 2030-2040, synthetic biology could have an economic impact on consumer products and services to the tune of up to $800 billion per year.

4. Materials and Energy Production

Synbio could also be used to boost efficiency in clean energy and biofuel production. For instance, microalgae are currently being “reprogrammed” to produce clean energy in an economically feasible way.

This, along with other material and energy improvements through synbio methods, could have a direct economic impact of up to $300 billion each year.

The Potential Risks of Synbio

While the potential economic and societal benefits of synthetic biology are vast, there are a number of risks to be aware of as well:

  • Unintended biological consequences: Making tweaks to any biological system can have ripple effects across entire ecosystems or species. When any sort of lifeform is manipulated, things don’t always go according to plan.
  • Moral issues: How far we’re comfortable going with synbio depends on our values. Certain synbio applications, such as embryo editing, are controversial. If these types of applications become mainstream, they could have massive societal implications, with the potential to increase polarization within communities.
  • Unequal access: Innovation and progress in synbio is happening faster in wealthier countries than it is in developing ones. If this trend continues, access to these types of technology may not be equal worldwide. We’ve already witnessed this type of access gap during the rollout of COVID-19 vaccines, where a majority of vaccines have been administered in rich countries.
  • Bioweaponry: Synbio could be used to recreate viruses, or manipulate bacteria to make it more dangerous, if used with ill intent.

According to a group of scientists at the University of Edinburgh, communication between the public, synthetic biologists, and political decision-makers is crucial so that these societal and environmental risks can be mitigated.

Balancing Risk and Reward

Despite the risks involved, innovation in synbio is happening at a rapid pace.

By 2030, most people will have likely eaten, worn, or been treated by a product created by synthetic biology, according to synthetic biologist Christopher A. Voigt.

Our choices today will dictate the future of synbio, and how we navigate through this space will have a massive impact on our future—for better, or for worse.

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