Leadership practices during technological change
Leadership during technological change depends less on having every answer than on asking precise questions and assigning clear ownership. These five practices help organisations make decisions while technology, skills and expectations continue to shift.
1. Digital Fluency Starts at the Top
A tech leader once admitted during a tense board meeting, “Half of us don’t understand the tools we’re asking teams to scale.” The silence that followed spoke volumes.
Practical response
- Reverse Mentorship: Invite junior engineers or tech leads to host “plain language” sessions for executives. Topics could range from AI ethics to cybersecurity frameworks, no jargon allowed.
- Outcome: When leaders understand the basics, discussions can move from “This sounds expensive” to “How can we leverage blockchain for audits?”
Key Takeaway: Leadership in the digital age demands humility. If you can’t explain it simply, you don’t understand it well enough.
2. Bridging the Generational Divide
When a seasoned COO retired after decades, his replacement, a 32-year-old former tech PM, replaced legacy spreadsheets with modern collaborative platforms overnight. Chaos ensued.
Practical response
- Wisdom Exchange Programmes: Pair experienced leaders with emerging leaders for mutual mentorship. Operational knowledge meets a different view of technology and work.
- Outcome: The exchange gives both leaders context they would struggle to acquire independently.
Key Takeaway: Clinging to “how we’ve always done it” risks obsolescence. Embrace hybrid teams where experience and innovation collide.
3. Talent Wars: Beyond Salaries and Beanbags
A developer once left for a startup offering “unlimited kombucha and cat therapy.” The example is deliberately light, but the underlying point is serious: people weigh purpose, flexibility and culture alongside pay.
Practical response
- Radical Flexibility: Introduce “Flex Fridays” or passion-project budgets (e.g., 10% time for creative experiments).
- Culture Curators: Hire leaders dedicated to nurturing inclusivity and autonomy, not just ping-pong tables.
Outcome: Flexible policies work when teams understand how trust, accountability and delivery expectations fit together.
4. Innovation Demands (Celebrated) Failure
A team once proposed rebuilding a core system in an emerging programming language. Leadership dismissed it as “too risky”, until a competitor did it first.
Practical response
- “Dare to Experiment” Rule: Run bounded experiments with a clear hypothesis, budget and review point. Record what failed and why before deciding whether to scale.
- Outcome: A useful experiment produces evidence, whether the idea is scaled, revised or stopped.
Key Takeaway: The real risk isn’t trying something new, it’s clinging to what’s familiar.
5. Diversity Isn’t a Metric, It’s a Multiplier
At a product demo, an engineer from a rural background and a Gen Z designer sparred over a feature’s flaws, one flagged connectivity issues in low-bandwidth regions, the other highlighted culturally insensitive colour schemes.
Practical response
- “Culture Add” Hiring: Seek candidates who challenge norms, not conform to them.
- Diverse Panels: Ensure hiring teams reflect varied ages, backgrounds, and perspectives.
Outcome: Reviewing the feature through both perspectives exposed risks that a more uniform team may have missed.
The New Leadership Playbook
Leaders can make better decisions during change by:
- Asking “Dumb” Questions: “How does AI work?” can expose assumptions that specialists have stopped explaining.
- Learning from failure: Treat a stopped experiment as evidence for the next investment decision.
- Leading with curiosity: Update decisions when evidence changes.
Final Thought:
Technological change will continue to test leadership judgement. Humility, cross-generational collaboration and controlled experimentation give organisations a more durable way to respond than certainty or slogans.
The work is to keep learning while remaining accountable for the decision.
