Over the last three years, companies of all sizes and across all industries have invested billions of dollars in AI, Gen AI, and Agentic AI with little or no ROI and modest (if any) positive impact on creating increased business valuation.
In five days, we will reach the third anniversary of the launch of ChatGPT. During that time, there has been an explosion of innovative new AI products, services, and solutions that have far outstripped successful employee and end-user adoption and utilization. The following data documents the gap between the level of innovation and adoption
To successfully adopt and deploy AI, GenAI, and Agentic AI requires starting at the top with the CEO and Board agreeing on the right digital strategy for the company and a game plan to implement it. That is virtually impossible to do if most board members are not digitally savvy.
“The saying “you earn what you learn” emphasizes the connection between acquiring knowledge and skills and increasing one’s earning potential. It suggests that investing time and effort in learning, whether through formal education, on-the-job training, or personal development, can lead to greater opportunities and higher income.”
In a time of unprecedented change, uncertainty, and disruption, there is a strong tendency for senior leadership teams to focus solely on short term challenges and issues rather than longer term business value creation opportunities. The big “aha” moment comes for senior leaders when they realize that short term performance consumes long term growth. This means that if the company continues to overweight investments in current businesses to deliver short-term performance, it will eventually liquidate the company’s long-term power to grow.
Too many companies’ GenAI & Agentic AI projects are driven by a fear of missing out (FOMO) and being left behind by their competitors who are adopting and deploying it in their markets. As I wrote in my January blog ( insert link ) fire-aim-ready is not a winning strategy for AI.
AI could potentially add $13 trillion to global economic activity by 2030, representing a 16% increase in cumulative GDP, according to Prysmian.
The scope and speed of new AI developments including GenAI and Agentic AI is far outpacing the AI governance tools necessary to deploy it safely and securely while still maximizing the business value returns from its successful deployment.
The unprecedented acceleration of disruption to legacy systems and processes from AI, GenAI, and Agentic AI has forced C-Suite leaders across all industries to make a series of trade-off decisions. What percentage of the company’s scarce resources and budgets should go to stabilizing and securing its systems of record vs. building and deploying its new systems of engagement and systems of intelligence?
The speed and complexity of change from disruptive technologies puts an even greater pressure on the need to change the decision-making clarity and cadence of your company. The risks of taking too long to make a decision in many cases outweigh the risk of making the wrong decision, especially if you can learn from it and quickly make a new and better decision.
