The Intersection of AI and Email Privacy: A New Era of Technological Advancements


Hatched by Glasp

Sep 16, 2023

4 min read


The Intersection of AI and Email Privacy: A New Era of Technological Advancements

In the early days of AI, there has been a significant shift in the capabilities and products enabled by LLMs, Transformers, and diffusion models. Rather than viewing them as part of a continuum with past "AI", it is crucial to recognize this as an entirely new era and a discontinuity from the past. The value in prior AI waves primarily benefited incumbents, as the capabilities were not advanced enough to create new market openings. However, with the launch of ChatGPT and its widespread adoption, it has become evident that AI is a game-changer in terms of new capabilities.

Despite the rapid progress in AI, we are still far away from peak AI usage or peak AI hype. Large enterprise planning cycles often take several months, followed by prototyping and building, which can take up to a year for a large company. Therefore, it is safe to say that we are merely scratching the surface of what AI can achieve. In these early days, there are at least four waves of AI to consider.

Wave 1 witnessed the rise of GenAI native companies such as ChatGPT, Midjourney, Character.AI, Stable Diffusion, and Github copilot. These early launches have not only gained significant revenue but also garnered substantial user traction. Wave 2, the current wave, includes early startup adopters and fast mid-market incumbents. Startups like Perplexity, Langchain, and Harvey have built their products on top of GPT-3.5/4, while companies like Navan, Notion, Quora, Replit, and Zapier have quickly embraced AI-powered products.

Looking ahead, Wave 3 is eagerly anticipated, as it will bring the next wave of startups. These new ventures will explore new formats such as voice and video, in addition to utilizing natural language in more verticals and innovative ways. Moreover, new types of infrastructure will pave the way for incremental experiences. Companies like Eleven Labs, LMNT, LFG Labs, and Braintrust are expected to play a significant role in this wave.

Wave 4, which is projected to arrive around 2024/2025, will mark the entry of the first big enterprise adopters. As enterprise planning and build cycles tend to be lengthy, it is expected that larger companies, other than Microsoft, Adobe, Google, and Meta, will start showcasing real AI-powered products. This will go beyond mere demos or prototypes, demonstrating the true potential of AI in the enterprise sector.

In the realm of email privacy, Apple's recent announcement at WWDC has caught the attention of many. The introduction of Mail Privacy Protection aims to prevent senders from utilizing invisible tracking pixels within emails. These pixels have long been a standard practice for newsletter senders to gather information about users, including open rates, timing, and user interests. Some tracking pixels even monitor users' online activity. Apple's decision to ban these pixels is a move to protect users against invasive tracking practices.

This development has raised eyebrows, as it appears that Apple is venturing into the realm of Substack's email empire. By prioritizing user privacy, Apple is disrupting the conventional methods of gathering data from email recipients. While this move is commendable from a privacy standpoint, it could potentially impact the way newsletters and email marketing campaigns are tailored to users.

In conclusion, the convergence of AI and email privacy signifies a new era of technological advancements. The rapid progress in AI capabilities, as well as the increasing focus on user privacy, are shaping the future of both industries. As we navigate through these early days of AI, it is essential to embrace the transformative power of AI while ensuring that user privacy remains a top priority.

Actionable Advice:

  • 1. Stay ahead of the AI curve: Whether you are an individual or a business, it is crucial to stay informed about the latest advancements in AI. This will enable you to identify opportunities and leverage AI technologies to your advantage.
  • 2. Prioritize user privacy: As AI continues to evolve, it is important to prioritize user privacy. Strive to adopt privacy-centric practices in your AI-powered products and services to build trust with your users.
  • 3. Embrace AI in a responsible manner: While AI offers immense potential, it is essential to use it responsibly. Consider the ethical implications of AI and ensure that it is used to benefit society as a whole.

By understanding the intersection of AI and email privacy, we can navigate this new era of technological advancements with confidence and foresight. The future holds endless possibilities, and it is up to us to harness the power of AI while upholding privacy and ethical standards.

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