Statistician & Fortune 100 advisor on making smarter decisions with AI
From WorkLab
Cassie Kozrakow•Statistician and Decision Intelligence Expert
Executive Summary
Decision Intelligence is a framework for making better decisions by pre-committing to a structure before analyzing data, thus avoiding confirmation bias.
Generative AI presents a "value gap" for organizations, where individual productivity gains are clear but translating them into measurable, large-scale business ROI is a major challenge for leadership.
AI should be used as a tool to augment human capabilities—such as a brainstorming partner to overcome cognitive biases or an automation engine for repetitive tasks—but humans must remain the authors of meaning and goals.
In the next 3-5 years, AI will automate repetitive work ("thunking"), creating a new management challenge: how to foster and measure the creative, deep work ("thinking") that remains.
8 quotes
Concerns Raised
Organizations struggle to measure the ROI of generative AI, creating a 'value gap'.
Leaders often use data to decorate pre-existing decisions rather than to genuinely inform them.
The ease of generating options with AI can lead to decision paralysis or over-investment in choices with minor differences.
Management is unprepared for the challenge of fostering creativity and 'thinking' once repetitive 'thunking' is automated.
Opportunities Identified
Use generative AI as a brainstorming partner to identify blind spots and overcome cognitive biases.
Democratize access to computing and automation through natural language interfaces.
Automate repetitive and tedious tasks ('thunking') to free up human workers for more creative and strategic work.
Accelerate complex R&D processes, such as drug discovery.