Becoming the leader you can be, in a changed technology industry

Ai

Learn how to thrive as a tech leader amid industry shifts with strategies for managing uncertainty, building teams, developing talent, and making ethical choices in a changing landscape.

Key takeaways
  • 84% of leaders reported significant role changes in recent years, with broader responsibilities and increased direct reports

  • Major shifts in time allocation: 28% of leaders spend at least 30% of their time differently than before, focusing more on hands-on work and less on people development

  • Key strategies for navigating uncertainty:

    • Build strong “managing up” skills through regular communication and business alignment
    • Connect teams to the bigger picture and help them find agency
    • Create clear team visions and revisit processes/rituals
    • Develop community and peer support networks
  • Industry challenges:

    • Rapid pursuit of AI and other tech trends without proper consideration of risks
    • Reduced focus on talent development and culture in tight markets
    • Increased workloads and broader responsibilities without additional support
    • Growing concerns about job security and organizational changes
  • Leadership recommendations:

    • Don’t blindly follow industry hypes - evaluate business value and risks
    • Invest in “soft skills” and mentoring capabilities
    • Focus on ethical considerations and impact of technical decisions
    • Build workplaces that treat people with respect despite market conditions
  • Growth opportunities have shifted:

    • Traditional career progression paths are less clear
    • Need to get creative with development in resource-constrained environments
    • Focus on building transferable skills like stakeholder management
    • Look for learning opportunities in broader role responsibilities
  • Software development requires stronger focus on representation and ethics:

    • Consider impacts on privacy, security, and social issues
    • Acknowledge technology’s role in discrimination and environmental impact
    • Take responsibility for decision-making around user data and product impacts