Google vs. ChatGPT

Google’s business model has dominated the web for over 25 years by creating a monopoly on search.

google-business-model
Google is an attention merchant that – in 2022 – generated over $224 billion (almost 80% of revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $29 billion segment), and Google Cloud ($26.2 billion).

Google stumbled upon one of the most profitable business models of the last 30 years.

And attention merchant business model, where advertising revenue subsidize search well above its cost.

For instance, in 2022, Google reported almost $60 billion in net profits.

google-profits

Indeed, Google spends money (in terms of server costs and also revenue split with publishers) in order to bring traffic back to its properties.

And therefore, monetizing this traffic via an advertising business model.

traffic-acquisition-cost
The traffic acquisition cost represents the expenses incurred by an internet company, like Google, to gain qualified traffic – on its pages – for monetization. Over the years, Google has been able to reduce its traffic acquisition costs and, in any case, to keep it stable. In 2022 Google spent 21.75% of its total advertising revenues (over $48 billion) to guarantee its traffic on several desktop and mobile devices across the web.

Google’s ability to monetize its web properties has been pretty stable in the last years.

googles-traffic-monetization-multiple

In short, for each dollar spent on acquiring traffic, Google makes back almost $5 in revenue!

Indeed, in terms of business model efficiency (revenue per employee), only Apple and Meta are comparable to Google.

revenue-per-employee

Not even Microsoft has managed to build such a business model as Google.

And yet, now, this business model might be in jeopardy.

Why?

Conversational interfaces, like ChatGPT, are redefining the whole space!

what-is-chatgpt
ChatGPT is a conversational AI interface created by OpenAI, which combines the capabilities of genera-purpose large language models, like GPT-3, and it has been fine-tuned with a model called InstructGPT, which added a supervised learning method, which is human-in-the-loop, to increase truthfulness, and reliability of the conversational interface.

If ChatGPT and other conversational interfaces disrupt search, we’ll see the demise of one of the most interesting business models of the last century!

Related To Google

Google Business Model

google-business-model
Google is an attention merchant that – in 2022 – generated over $224 billion (almost 80% of revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $29 billion segment), and Google Cloud ($26.2 billion).

Google Other Bets

google-other-bets
Of Google’s (Alphabet) over $282 billion revenue for 2022, Google also generated over a billion dollars from a group of startup bets, which Google considers potential moonshots (companies that might open up new industries). Those Google’s bets also generated a loss for the company of over $6 billion in the same year. In short, Google is using the money generated by search and betting it on other innovative industries. Of Google’s (Alphabet) over $282 billion revenue for 2022, Google also generated over a billion dollars from a group of startup bets, which Google considers potential moonshots (companies that might open up new industries). Those Google’s bets also generated a loss for the company of over $6 billion in the same year. In short, Google is using the money generated by search and betting it on other innovative industries. 

Google Cloud Business

google-cloud-business-model

How Big Is Google?

how-big-is-google
Google is an attention merchant that – in 2022 – generated $224 billion (almost 80% of its total revenues) from ads (Google Search, YouTube Ads, and Network sites), followed by Google Play, Pixel phones, YouTube Premium (a $29 billion segment), and Google Cloud ($26.3 billion).

Google Traffic Acquisition Costs

traffic-acquisition-cost
The traffic acquisition cost represents the expenses incurred by an internet company, like Google, to gain qualified traffic – on its pages – for monetization. Over the years, Google has been able to reduce its traffic acquisition costs and, in any case, to keep it stable. In 2022 Google spent 21.75% of its total advertising revenues (over $48 billion) to guarantee its traffic on several desktop and mobile devices across the web.

How Does Google Make Money

google-revenue-breakdown
Alphabet generated over $282B from Google search and others, $32.78 billion from the Network members (Adsense and AdMob), $29.2 billion from YouTube Ads, $26.28B from the Cloud, and $29 billion from other sources (Google Play, Hardware devices, and other services).

YouTube Business Model

how-does-youtube-make-money
YouTube was acquired for almost $1.7 billion in 2006 by Google. It makes money through advertising and subscription revenues. YouTube advertising network is part of Google Ads, and it reported more than $29B in revenues by 2022. YouTube also makes money with its paid memberships and premium content.

Google vs. Bing

google-vs-bing

Google Profits

google-income

Google Revenue Breakdown

google-revenue
In 2022, Google generated over $282 billion in revenues, of which over $162 billion from Google Search, over $29 billion from YouTube Ads, and almost $33 billion from Network Members’ properties. In addition, Google generated over $29 billion in other revenue, over $26 billion from Google Cloud, and over a billion dollars from other bets.

Google Advertising Revenue

how-much-money-does-google-make-from-search

Apple vs. Google

apple-vs-google

Google Employees Number

google-employees-number

Google Ad vs. Facebook Ad

google-ad-vs-facebook-ad

YouTube Ad Revenue

youtube-ad-revenue
YouTube, by 2022, generated over $29 billion in advertising revenues.

AI Paradigm

current-AI-paradigm

Pre-Training

pre-training

Large Language Models

large-language-models-llms
Large language models (LLMs) are AI tools that can read, summarize, and translate text. This enables them to predict words and craft sentences that reflect how humans write and speak.

Generative Models

generative-models

Prompt Engineering

prompt-engineering
Prompt engineering is a natural language processing (NLP) concept that involves discovering inputs that yield desirable or useful results. Like most processes, the quality of the inputs determines the quality of the outputs in prompt engineering. Designing effective prompts increases the likelihood that the model will return a response that is both favorable and contextual. Developed by OpenAI, the CLIP (Contrastive Language-Image Pre-training) model is an example of a model that utilizes prompts to classify images and captions from over 400 million image-caption pairs.

OpenAI Business Model

how-does-openai-make-money
OpenAI has built the foundational layer of the AI industry. With large generative models like GPT-3 and DALL-E, OpenAI offers API access to businesses that want to develop applications on top of its foundational models while being able to plug these models into their products and customize these models with proprietary data and additional AI features. On the other hand, OpenAI also released ChatGPT, developing around a freemium model. Microsoft also commercializes opener products through its commercial partnership.

OpenAI/Microsoft

openai-microsoft
OpenAI and Microsoft partnered up from a commercial standpoint. The history of the partnership started in 2016 and consolidated in 2019, with Microsoft investing a billion dollars into the partnership. It’s now taking a leap forward, with Microsoft in talks to put $10 billion into this partnership. Microsoft, through OpenAI, is developing its Azure AI Supercomputer while enhancing its Azure Enterprise Platform and integrating OpenAI’s models into its business and consumer products (GitHub, Office, Bing).

Stability AI Business Model

how-does-stability-ai-make-money
Stability AI is the entity behind Stable Diffusion. Stability makes money from our AI products and from providing AI consulting services to businesses. Stability AI monetizes Stable Diffusion via DreamStudio’s APIs. While it also releases it open-source for anyone to download and use. Stability AI also makes money via enterprise services, where its core development team offers the chance to enterprise customers to service, scale, and customize Stable Diffusion or other large generative models to their needs.

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