When the Ground Shifts:

The career advice everyone keeps giving you does not match the reality you are facing.

Get qualified, they said. Build expertise. Become indispensable. That model worked for decades. It no longer works when AI can handle in seconds what took you years to master.

Tasks disappear from roles. Teams are reorganised as automation absorbs parts of the work. Job descriptions shift and begin to demand technical skills you do not have. Advice about upskilling feels inadequate when you are already working full time and cannot predict which skills will actually matter.

When the Ground Shifts offers a practical method for building capability when the future remains uncertain.

The Haversack Method

The method is simple. You cannot learn everything, but you can learn to notice what matters. Capture useful fragments as you encounter them. Recognise patterns as they emerge. Convert scraps of knowledge into working skills that create value where you already are.

The method fits inside ordinary working life. No expensive courses. No dramatic career reinvention. Just sustained attention to what is changing around you and deliberate practice.

You will learn how to:

• Build Minimum Viable Skills that demonstrate competence without requiring mastery
• Create tangible proof pieces when algorithms screen applications
• Work alongside AI tools without becoming dependent on them
• Maintain momentum when setbacks happen
• Stay adaptable without exhausting yourself trying to learn everything

What this book is not:

• Predictions about which jobs will survive
• Reassurance that everything will be fine
• Motivational content about embracing change
• Another demand to upskill without explaining how

What it is:

A straightforward system for staying professionally relevant when traditional career planning no longer applies.

If you sense that the structure of work is changing faster than traditional career advice can keep up with, whether you are still in a role that feels increasingly fragile or have already been displaced by AI-driven change, this book offers a practical method for navigating what comes next without requiring certainty first.