AI is reshaping business models and value creation across all industries. Forward-thinking leaders are considering how their business models will evolve and the legion new opportunities for enhanced value creation and capture.
We are very early in discovering the structures that work best, and how to configure across multiple dimensions, including internal value creation based on humans + AI, a diverse array of enhanced customer offers, ecosystemic value co-creation, model scalability, and the coming rise of AI agents as customer intermediaries.
The framework below distills the most important frames for understanding how business models are shifting. This is just an initial top-level view of the elements, I will be sharing more detail on many aspects of this in the near future.
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Framework: Levels of AI in Investment Decision-Making
By Ross DawsonAI has been used in investment decision-making for decades, with algorithmic trading a major market driver. Now the greatly broadened scope of generative AI is reshaping investment decision-making.
This framework is highly simplified, designed to draw out the spectrum from purely algorithmic decisions through to human-first decisions augmented by AI, across different asset classes. A few comments below.
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AI agents making payments and the next phase of the economy
By Ross DawsonThe AI agent economy is taking off. Its next phase will be massively expanded by payments between agents and between agents and humans.
As AI agents grow in capabilities, individuals are delegating tasks to single agents that can perform tasks on their behalf such as research, curation, scheduling, travel planning, or email drafting.
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Framework: AI’s impact on business models and value creation
By Ross DawsonAI is reshaping business models and value creation across all industries. Forward-thinking leaders are considering how their business models will evolve and the legion new opportunities for enhanced value creation and capture.
We are very early in discovering the structures that work best, and how to configure across multiple dimensions, including internal value creation based on humans + AI, a diverse array of enhanced customer offers, ecosystemic value co-creation, model scalability, and the coming rise of AI agents as customer intermediaries.
The framework below distills the most important frames for understanding how business models are shifting. This is just an initial top-level view of the elements, I will be sharing more detail on many aspects of this in the near future.
Read more →
The Future of Higher Education: Unbundling and rebundling
By Ross DawsonThis week I gave the keynote for the leadership strategy session of a U.S. tertiary institution with over 120,000 students, on re-envisaging the future of higher education.
As part of my session I shared this framework on unbundling and rebundling higher education. I explain and expand below the image.
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Framework: Creative process mapping for AI augmentation
By Ross DawsonFor superior Humans + AI creative outcomes we need to focus on process.
LLMs are most effectively applied at well-defined points within broader processes, using precise prompts and context for highly specific tasks such as content generation, ideation, structure mapping, analysis, adaptation, synthesis, evaluation.
The first step is to pull back to the broader process and identify where AI can add value to complex cognitive and creative processes, as shown in this chart. Applications of the chart are shared below.
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Executive and board workshops on AI and future strategy
By Ross DawsonMuch of my current work is with boards and executive teams on the implications of AI, the future of work, and strategy in rapidly changing environments.
In this overview document I provide details of 6 in-demand workshops, including key content, outcomes, and examples.
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How AI will shape the future of creative agencies
By Ross DawsonAll professional services are being transformed by generative AI, but the impact is especially pointed for creative agencies. Agencies need to reconfigure themselves for a substantially different future.
The nature of the client-agency relationship will rapidly evolve, but in there lies an enormous opportunity to shift to a far more collaborative dynamic where value is co-created in seamless workflows across organizational boundaries.
I’ve distilling some of my recent thinking from client work in the space into this simple framework. I will be refining the high-level framework as well digging deeper into several aspects of this including workflow. I’d love any thoughts or feedback.
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Framework: Generative AI to Accelerate Scientific Discovery
By Ross DawsonThe history of humanity has been one of accelerating scientific and technological progress. Now, by amplifying the cognition and capabilities of scientists with AI, we can dramatically step up the pace of discovery.
By the very nature of discovery, we cannot know what we will learn. The coming advances in life and brain sciences and medicine alone will be absolutely transformative, let alone those in energy, materials science, food, and more.
This framework is a high-level distillation of a few of the cognitive tools and techniques for GenAI to assist scientists. As always it is a Beta version 1, please let me know any feedback or input to improve it!
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Framework: Levels of AI delegation in decision-making
By Ross DawsonSoon virtually every decision will involve AI. For every decision we make, the critical first step is to determine the level of AI delegation. And then select the specific Humans + AI architecture most appropriate to the decision.
This framework is the latest iteration of the AI decision-making delegation frameworks I’ve been developing and using with clients, made concise for communication and easy digestion.
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The Exploitation-Exploration dilemma’s fundamental role in intelligence and our lives
By Ross DawsonThe Exploitation-Exploration dilemma is deeply relevant, not only to business strategy, but to many aspects of our lives.
It is also a fundamental underpinning of intelligence, human and artificial.
The dilemma is essentially: should we continue with what we have, or leave that behind to find something better?
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