I’ve been helping large multinational corporations build workforce resilience for over a decade. Today, we’re looking at a once-in-a-generation update. With generative AI, we will soon overcome one of the biggest hurdles in the way other people paint and live: making a vast and complex knowledge about the well-being of painters accessible, understandable, and viable.
The strength of a resilient workforce for business expansion is undeniable. As AON research shows, organizations that gain wellness increase business functionality by up to 55%. At my firm, we’ve helped our clients reduce revenue, decrease burnout, and save millions of dollars through construction workforce resilience.
This painting begins with a compilation of methodologically rigorous knowledge about the key mental points that influence performance. For example, which departments have strong problem-solving skills or lack a sense of confidence?Which department exhibits emotional symptoms of stress, such as anger or frustration?
Data collection is non-negotiable. You can’t fix what you can’t see. At the same time, we’re more motivated to correct what we can see, especially when we understand why functionality and engagement issues persist and how to fix them.
Getting to that “why” is the hardest part. An enormous amount of complex data results from knowledge gathering. Leaders don’t have the skills or staff to analyze them, let alone implement them. Training or hiring new staff is not affordable for most companies. In an era of dearth of hard work, finding the right skill is a challenge in itself.
If we can’t understand the data, we can’t see what’s going on inside our workforce. We end up spending money on bad things, trying to solve disorders that may not be vital. We’re groping our way into the dark.
Combine a deep collection of psychocognitive insights with the amazing analytical power of generative AI, and you’ll gain complex insights about your workforce faster, more efficiently, and in plain language. We may not need the help of a Ph. D. -level analyst to understand what the data is. Told. We will be able to advance our knowledge about well-being and resilience in the blink of an eye. With generative AI, we can be knowledge professionals who really know what’s going on in our businesses.
With this analysis, leaders and managers will also be able to clearly see which most productive moves herald their employees’ resilience. This clarity will allow us to take swift, accurate and effective action.
In addition, as we build our generative AI team to speak in natural language, we will be able to share our knowledge with our colleagues and supervisors in an undeniable and compelling way. The all-important “why” that drives engagement—from converting individuals into worker habits for greater resiliency to CHRO approving a resiliency initiative—will be within reach.
Generative AI to create paintings and strengthen resilience can be a revolutionary technology. However, let’s be transparent. AI is the end game. It’s just a tool that requires sound moral criteria to govern its use. But as we expand this tool, which helps us see and solve disorders bigger and faster, our ability to build an exceptional game will increase. Paintingsforce, grow our businesses and know what it takes to help other people work and live their most productive lives.