Automation: freeing up time, not just cutting costs
Automation refers to the use of technologies — software, algorithms, artificial intelligence, or robotic systems — to perform repetitive, predictable, or data-driven tasks in place of humans. In the business world, it’s no longer limited to factories or logistics: automation is increasingly present in administrative, commercial, creative, and decision-making roles.1
In the Future of Work, automation is not just a tool for efficiency — it’s a cultural shift. It changes the skills we need, the meaning of human work, and how roles are distributed across teams.
What can be automated
- Repetitive, low-value tasks (e.g., data entry, report generation)
- Operational workflows (e.g., onboarding, ticketing, internal notifications)
- Data-driven decision processes (e.g., client scoring, CV screening)
What cannot easily be automated
- Complex human interactions, especially those requiring empathy or conflict management
- Strategic creativity
- Leadership and advanced negotiation
- Building trust and organizational culture
In other words: we can automate the doing, but not the intention.
Benefits of automation
- Reduction in human error and operational delays
- Lower costs for repetitive tasks
- More time for high-value work
- Improved user or customer experience
A practical example: in a project for an operations team, automating report generation freed up 8% of managers’ weekly time — which was reinvested in strategic analysis and decision making.
Risks and obstacles
- Resistance to change and fear of job loss
- Poor communication of strategic value
- System fragmentation and low interoperability
- Loss of meaning in human work if not properly managed2
This is why automation must be accompanied by a strategy of change management, internal communication, and skill development.
Key skills in the age of automation
- Data literacy: the ability to read and interpret data
- Digital mindset: comfort with systems and digital tools
- Advanced soft skills: communication, creativity, problem-solving
- Adaptive leadership: the ability to lead hybrid human/tech teams3
Automation in HR and L&D teams
- Recruiting: automated CV screening
- Onboarding: automated welcome workflows and materials
- Learning: auto-assigned modules based on skill gaps
- People analytics: predictive dashboards for engagement and turnover4
A cultural — not just technical — transition
Automating doesn’t mean removing humanity from work. It means freeing people from repetitive tasks so they can focus on what truly creates value. But that only happens if the transition is supported by vision, communication, and growth.
Conclusion
Automation is not a technological fate — it’s a strategic choice. Yes, it helps you go faster. But it can also help you become more human. When we take away the repetitive, we give people time to think, decide, and create. That’s how we build the future of work.
References
- Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W. W. Norton & Company. ↩︎
- World Economic Forum (2023). Future of Jobs Report. https://www.weforum.org/reports/future-of-jobs-report-2023/ ↩︎
- McKinsey & Company (2023). Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/rewired ↩︎
- Deloitte Insights (2022). The path to sustainable performance. https://www2.deloitte.com/insights/us/en/focus/human-capital-trends.html ↩︎