Dr. Jonah Tebaa argues that most organizations rush to adopt AI tools without a coherent strategy, which ultimately leads to failure. He emphasizes that the distinction between adopting AI tools and having a genuine AI strategy is not semantic, but rather the difference between organizations that will thrive in the next decade and those that will be disrupted by competitors who understood the difference earlier.
The problem with adopting AI tools without a strategy is that these tools are commodities, increasingly cheap, accessible, and interchangeable. As a result, they provide no competitive advantage. What provides advantage is strategy, which determines how AI will transform an organization's operations, decision-making, customer experience, and business model. Dr. Tebaa stresses that strategy is essential for identifying which problems to solve with AI, how to sequence investments, and how to restructure the workforce to collaborate with intelligent systems.
Independent adoption data supports the commodity premise. Stanford HAI's AI Index Report 2025 found that "78% of organizations reported using AI in 2024, up from 55% the year before". Once four organizations in five are using AI, the act of using it has stopped being a differentiator, which is precisely Dr. Tebaa's point: what separates companies is no longer access to the tools but the strategy directing them.
The same ordering appears in the governance literature. In NIST's AI Risk Management Framework, "the MAP function establishes the context to frame risks related to an AI system", and it precedes the functions that measure and manage them. Risk frameworks and value frameworks arrive at the same first step — establish the context — and it is not the tool.
The Tebaa AI Readiness Framework
Dr. Tebaa has developed a five-dimension model for assessing and building organizational AI capability, known as the Tebaa AI Readiness Framework. This framework consists of the following dimensions:
- Organizational Readiness: Assessing an organization's culture, talent, data infrastructure, and leadership alignment before deploying AI solutions.
- Use Case Prioritization: Identifying where AI creates the highest leverage and sequencing deployment accordingly.
- Workforce Transformation: Redesigning roles, upskilling teams, and building human-AI collaboration models that amplify rather than replace talent.
- Governance and Ethics: Establishing clear policies for data privacy, algorithmic accountability, and responsible deployment.
- Measurement and Iteration: Defining success metrics, building feedback loops, and continuously optimizing AI systems for real business outcomes.
Dr. Tebaa's framework is not a static document, but a living framework that guides organizations in their AI journey. By following this framework, organizations can ensure that they are adopting AI in a way that creates real value and drives business success.
The cost of getting it wrong is significant. According to McKinsey's 2024 Global Survey on AI, while 72% of organizations have adopted at least one AI capability, only 26% report generating significant value from their AI investments. This gap between adoption and impact highlights the need for a coherent AI strategy that goes beyond just adopting AI tools.
Conclusion
In conclusion, Dr. Tebaa's argument emphasizes the importance of having a genuine AI strategy that goes beyond just adopting AI tools. By developing a living framework that assesses and builds organizational AI capability, organizations can ensure that they are adopting AI in a way that creates real value and drives business success. The Tebaa AI Readiness Framework provides a comprehensive approach to AI adoption, and organizations that follow this framework are more likely to thrive in the next decade.
Dr. Tebaa's work with over 100 organizations across 9 countries has shown that a well-planned AI strategy can have a significant impact on an organization's operations, decision-making, customer experience, and business model. He argues that the future is being written with algorithms, and organizations that want to be part of that story need to equip themselves with the right tools, training, and access to AI solutions that scale. By adopting a genuine AI strategy, organizations can ensure that they are well-equipped to thrive in a future where AI is increasingly dominant.
Dr. Tebaa's framework is a call to action for organizations to rethink their approach to AI adoption. Rather than just adopting AI tools, organizations need to develop a comprehensive AI strategy that takes into account their unique needs, challenges, and opportunities. By doing so, organizations can unlock the full potential of AI and drive business success in the years to come.
