Sailing Backwards on the High Seas

The ChatGPT Story through the Lens of Blue Ocean AND Amazon's Working Backwards

In the dynamic ocean of technological innovation, a few ventures succeed in charting new territories. OpenAI’s ChatGPT stands out as a beacon, navigating the uncharted waters of AI with a unique blend of Blue Ocean Strategy and Amazon’s Working Backwards methodology. This article observes how ChatGPT, more than a technological marvel, is a masterclass in strategic innovation, intertwining customer-centric design with market-creating strategies.

Why ChatGPT is a classic example of a Blue Ocean approach

Robot on a blue ocean
Robot on a blue ocean (image created with ChatGPT DALL-E 3)

Blue Ocean Strategy is not just about innovation; it’s about creating new value markets, rendering competition obsolete. ChatGPT, in this light, is not a mere product; it’s a paradigm shift in artificial intelligence.

Let’s begin by first exploring a key term from blue Ocean – Value Innovation. Value Innovation is a central concept in Blue Ocean Strategy, and it’s defined as the simultaneous pursuit of differentiation and low cost. The goal of value innovation is not to compete, but to make the competition irrelevant by creating a leap in value for both the company and its customers. ChatGPT (and the APIs that come along with it) has transcended the traditional roles of AI, offering an intelligent platform that caters to a diverse spectrum of users. This versatility isn’t just about doing different things; it’s about doing things differently, providing value in simplicity, adaptability, and accessibility.

Let’s explore this perspective further by looking at the ERRC Grid (Eliminate-Reduce-Raise-Create Grid). ERRC is a key analytical tool in Blue Ocean Strategy. It’s designed to help businesses create new market spaces (or “blue oceans”) by changing the focus of their strategy. ERRC breaks down the four actions used to reconstruct market elements across industry boundaries. Here’s a breakdown of each component, and how they manifested in the case of ChatGPT:

  1. Eliminate:
    • Complex User Interfaces: ChatGPT eliminates complex, technical user interfaces that are common in many AI systems. Instead, it offers a simple, conversational interface that is more accessible and user-friendly.
    • Need for Specific AI Expertise: By being versatile and intuitive, ChatGPT reduces the need for users to have specialized AI knowledge to interact with or utilize the system.
  2. Reduce:
    • Dependency on Task-Specific AI Models: Traditional AI applications often require different models for different tasks. ChatGPT reduces this need by being a more generalized model capable of handling a variety of tasks.
    • Cost and Effort in Training AI Models: ChatGPT, with its vast pre-trained knowledge base, reduces the amount of additional training and data input required by users to make the AI functional for their specific needs. OpenAI continue to double down on this approach, for example by recently combing multiple modalities (text-to-text, text-to-image with integrated DALL-E 3, coding capabilities, and voice bi-directional interface), through a consistent and simple interface.
  3. Raise:
    • Quality of AI Conversations: ChatGPT raises the standard for AI conversations by providing more contextually aware, coherent, and relevant responses, far surpassing the capabilities of more basic chatbots.
    • Accessibility of Advanced AI: It also raises the level of access to advanced AI technologies for a broader audience, including those without technical backgrounds or access to powerful compute power.
  4. Create:
    • New Applications for AI: ChatGPT creates new possibilities for AI application in fields like education, creative writing, coding assistance, and more, areas where traditional AI models were not typically utilized.
    • Enhanced Interaction Experience: It introduces an enhanced level of interaction where users can have more natural, back-and-forth conversations with an AI, something that was not as developed in previous AI models.

The Six Paths Framework is another key tool in Blue Ocean Strategy, designed to help businesses break away from traditional competitive strategies and create new market spaces. This framework involves looking at the industry from various angles to uncover new opportunities. Let’s see how this applies to ChatGPT:

  1. Look Across Alternative Industries: ChatGPT doesn’t limit itself to the traditional boundaries of specific industries. It transcends sectors, serving needs in education, business, entertainment, and more. This cross-industry applicability enables it to tap into demands and opportunities that a more narrowly focused AI tool might miss.
  2. Look Across Strategic Groups Within Industries: Within the AI industry, there are strategic groups like those focusing on business analytics, personal assistants, or customer service bots. ChatGPT cuts across these groups, providing a platform versatile enough to cater to a broad range of needs, from casual personal use to complex business applications.
  3. Look Across the Chain of Buyers:  Traditional AI tools often focus on specific buyer groups (like IT professionals or business managers). ChatGPT, however, addresses a wider range of buyers, including end-users, developers, educators, and businesses, broadening its market appeal and utility.
  4. Look Across Complementary Product and Service Offerings: ChatGPT integrates well with a variety of products and services, enhancing its functionality. Allowing other applications to leverage its powers through API services, for example, it opened the door for integrating it into a large variety of educational software, content creation tools, or customer service platforms, adding value (while expanding its own market) to these complementary offerings.
  5. Look Across Functional or Emotional Appeal to Buyers: While many AI tools focus on functional utility, ChatGPT also taps into the emotional appeal by providing more human-like, engaging interactions. This dual appeal broadens its attractiveness beyond just functional use to creating a more relatable and enjoyable user experience. And new features introduced by OpenAI, such as the very effective and emotionally believable voice interaction, continue to build and strengthen that aspect.
  6. Look Across Time: ChatGPT is designed to be adaptable and continuously learning, making it relevant over time. It evolves with user interactions and changing market needs, ensuring its long-term relevance and appeal in a rapidly evolving tech landscape.

Through the Customer-Centric lens: ChatGPT as a manifestation of Amazon's Working Backwards methodology

Amazon’s Working Backwards method begins with a deceptively simple question: What is the most important thing for the customer? For ChatGPT, the answer lies in understanding and mimicking human-like, context-aware interaction.
From a working backwards perspective, one might say that ChatGPT identified the most important opportunity or profound human need as the need for connection and understanding. It’s not about AI that talks; it’s about AI that understands, empathizes, and responds in kind.
ChatGPT’s central value lies in its human-like interaction capabilities. Its ability to understand context, nuance, and the intricacies of language positions it not just as a tool, but as a companion in the digital space.

Amazon’s Working Backwards methodology is strongly rooted in Amazon’s culture, and that in turn is most strongly expressed in Amazon’s Leadership Principles. As one who has experienced these principles from within for five years, and has guided and talked to customer teams and leaders about those principles and the powerful innovation power they hold, I can testify that these principles indeed capture a certain attitude that is in fact not exclusive to Amazon, but can, or should, be seen as more universal.

While OpenAI’s team might not have directly referred to Amazon’s Leadership Principle for inspiration, their actions and strategy does indeed reflect many of the underlying thinking expressed in these principles. In fact, linking back to Blue Ocean Strategy, there is an interesting overlap between the approaches. Customer Obsession connects to the key Blue Ocean value innovation that customers would be delighted to see, pushing aside any paradigms of existing solutions or any relevance of what the competition is doing. Another example of Customer Obsession, which also fuels Amazon’s effort to build flywheel for scale, is the fact that OpenAI has recently lowered the prices of using their APIs, thereby accelerating the adoption of their services by even more partners and builders.

The speed by which OpenAI keeps innovating and improving their service is a clear example of Amazon’s Bias for Action principle. It is quite evident how their frequent innovations follow the realization that “Speed matters in business”, and that OpenAI indeed understands the “value [of] calculated risk taking”, as that principles postulates. In Amazon’s terms, OpenAI is walking through many two-way doors, and learning and adjusting on the move.

And OpenAI is certainly “Thinking Big” (a principle that we at Think Big Leaders are especially fond of, as the name suggests…). They are talking about “Creating safe Artificial General Intelligence that benefits all of humanity”. Or, as Amazon’s Think Big principles puts it “Leaders create and communicate a bold direction that inspires results”.

If you go through the rest of Amazon’s Leadership Principles thoroughly, I am sure you’ll discover more examples that relate to OpenAI’s actions and strategy.

So, at least for me, it is no surprise that Working Backwards is a good lens through which one can explain ChatGPT’s innovation, speed, and scale of success. I don’t know if they ever wrote an Amazon style PRFAQ document, but they certainly could have.

Charting a New Course - What ChatGPT Chooses NOT to Do

Innovation and innovation strategy is as much about choosing what not to do as it is about deciding what to do. ChatGPT’s strategic choices reflect a deep understanding of this principle, too. Here are some examples.

  1. Reduced Complexity: Simplifying interaction with AI, ChatGPT makes advanced technology accessible to non-experts, democratizing its use across sectors. This reflects the Reduce tool from Blue Ocean, as well as Amazon’s Invent and Simplify Leadership Principle.
  2. Elimination of Technical Barriers: By removing the steep learning curve typically associated with AI, ChatGPT opens doors for a wider audience to leverage AI for their needs. Another recent example of the same line of thought is OpenAI’s MyGPTs tool, that allows people to experiment with and create a customized chatbot, simply through natural language conversation.
  3. Minimized Custom Training: ChatGPT’s ready-to-use versatility contrasts sharply with AI models that require extensive customization, making it a more practical solution for diverse applications.
  4. Beyond Rule-Based Responses: Moving away from rigid, pre-defined scripts, ChatGPT offers a fluid, conversational experience, mirroring human interaction more closely than ever before.

A Case Study in Strategic Innovation

ChatGPT is more than an AI breakthrough; it’s a fascinating case study in strategic innovation. By essentially aligning the customer-centric approach of Amazon’s Working Backwards with the market-creating principles of Blue Ocean Strategy, OpenAI has not just created a product. It has charted a new course in technology – one that prioritizes understanding the customer’s deepest needs and delivering unparalleled value. As we sail towards an AI-augmented future, ChatGPT is leading the way into that new and blue ocean, showing the way forward (or Backwards from the customer, and from the future).

Full disclosure – I wrote this blog post through a conversation I had with ChatGPT, talking through the idea and structure for it via the voice interface. Hopefully, some of the originality came from my own knowledge and experience, but it’s hard to say these days…

Scroll to Top