Infographic: Tap Into the Mobile Payments Revolution
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Tap Into the Mobile Payments Revolution

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Tap Into the Mobile Payments Revolution

The trends and contenders that are shaping mobile payments.

Thanks to Purefunds Mobile Payments ETF (IPAY) for helping us put this together.

Yesterday, user-friendly payment processor Stripe announced a strategic investment and partnership from Visa that values the company at $5 billion. Other investors that participated are not unknowns either: Kleiner Perkins Caufield Byers, American Express, and Sequoia. It was only in December that Stripe was valued at $3.5 billion and in their previous financing, they were valued at just half of that. Stripe will use Visa’s international connections to help it expand beyond the 20 countries it currently services.

This type of story is not unusual in the payment space. Companies are scrambling to scale or adopt new technologies that integrate mobile and electronic features to make it easier, cheaper, and faster for customers to pay. The reason for this is that the payments ecosystem has always been more cumbersome and more expensive than it should be. In the United States alone, retail merchants that accept card-based payments were charged about $67 billion in fees. Add the rest of the world to that pie, and it makes it clear that the payments space is as ripe for disruption as any other.

Mobile and electronic payments allow customers to pay for goods with a tap of a phone or the press of a button. Two of every three Americans have a smartphone, and mobile payments can typically happen faster with less fees. The earliest adopters of mobile payments have a younger and affluent profile: they average just over 30 years old, have a higher annual income, and spend over 2x more on retail than unwilling non-users of mobile payments.

Big Data and the Developing World

One of the most attractive benefits of mobile payments is the integration of big data and predictive analytics. Retailers will have the capability to link purchases directly with location (GPS), consumer behaviour, purchase history, demographics, and social influence. Analyzing this information will allow companies to reach out to consumers with tailored offerings, loyalty programs, and rewards. Customers will be able to take action right from their mobile device.

The opportunities in payments are not just limited to in the United States or even the developed world. Perhaps one of the most interesting opportunities for the mobile payments space is in Africa, where bank penetration is extremely low at only about 25% and mobile phone penetration is higher at 60%. Kenya is a good example of a market where digitization has reached a large portion of the population, giving mobile payments an 86% household penetration.

Mckinsey did an analysis looking at the size of revenue pools for mobile payments if each market in Africa had the same penetration as Kenya, and it sees the pools more than doubling in places like Ethiopia and Nigeria. With the population in sub-Saharan Africa expected to balloon from 926 million to 2.2 billion by 2050, their appears to be even greater opportunity.

Tapping In

The earliest potential in the mobile and electronic payments market appears to be in areas such as micropayments, incidental payments, recurring bills, peer-to-peer money transfers, and cryptocurrency. However, in the long term, the concept can be applied to many different facets of commerce.

Mobile payments may continue to disrupt the big payments market because of several factors including a young and growing userbase, ease of use, faster transactions, cheaper costs, and increased adoption. As Smittipon Srethapramote, who covers the North American payments industry for Morgan Stanley, concludes in a summary on the subject: “Mobile Payments can expand the global revenue pie from $175 billion to $250 billion, including $45 billion in developed markets and $30 billion in emerging markets.”

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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