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Threads: 5 Days to 100M - Technological Adoption Rates are Skyrocketing

Introduction

Imagine how it took the simple telephone 75 years to reach 100 million users and compare this to the latest application, which has achieved this extraordinary milestone in just five days. That’s what social media sensation - Threads - did in less than a week.


An image of Mark Zuckerberg and Elon Musk facing each other in a confrontational manner

Is there power in the numbers?

Threads, a platform for users to share text-based updates and engage in public conversations created by the Instagram team, has disrupted the social media landscape. Within the first few hours, an incredible two million users flocked to the app, eager to explore its unique features and engage with the community. This momentum continued, propelling Threads to an impressive 70 million users within days and reaching the remarkable milestone of 100 million users in record time. Something that took Twitter for the most part of 6 years. Standing out among countless platforms, Threads has created a vibrant community, resulting in over 95 million posts and a staggering 190 million likes shared on the platform.

A graph representing the time it took various types of technology to reach one-hundred million users
Credit: root

But its growth was not without bumps along the way. The Threads App met its match when it came face-to-face with the European DMA on privacy regulations for social media platforms. If data and privacy is something that interests you, have a look at our previous post that covered just that.


It’s not only Threads

The rapid adoption of new technologies and applications such as Netflix, ChatGPT or Threads, all bring about an exponential increase in data production as well. These fast technological changes bring a transformative shift in data production. Once solely reliant on human efforts, the advent of the Internet of Things (IoT) and Artificial Intelligence (AI) has enabled machines to actively participate as generators of data. Every generated byte of data requires processing and a safe haven for storage.


Computational resources are [not] limitless

Watching a TikTok video on your phone or performing a search with ChatGPT, each and every action involves computational resources. By this we mean all the resources, from the materials needed to produce your phone or laptop, the mobile network or WiFi you are connected to and data centres, to the energy consumed by all of these devices in order to execute these various computational tasks.

On the one hand, businesses are leveraging AI and Machine Learning (ML) algorithms to automate and optimise their processes, enhance customer experience, and gain insights from vast amounts of data. On the other hand, the proliferation of IoT devices has created a world where objects, sensors, and devices are all interconnected, generating vast amounts of data. Given the limitations imposed by the physical constraints of compute resources, we need to consider the finite computational resources that we have at our disposal.


Closing thoughts

The pace of adopting new technologies is skyrocketing at an unparalleled rate and brings about an exponential increase in data. While the production of data is limitless, our computational resources are not. How can we manage all that data on our current internet infrastructure in a cost-efficient way? How will we ensure that we, or future generations, don’t end up in a classic catch-22 situation? That’s a story for another time. Stay tuned!



Disclaimer: The views expressed in this post are solely those of the author and do not represent the opinions of any specific organization or entity.

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Lebo Snyman
Lebo Snyman
Jul 25, 2023
Rated 5 out of 5 stars.

Well written!

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