Change Management needs change
In the age of quantum technologies and AI, traditional change management no longer works. Technological evolution is occurring in ever-shorter development cycles, presenting companies and organisations with immense challenges.
Speed
Technology evolves faster than any implementation plan can be developed, so change has become a continuous process and an integral part of corporate identity
Capabilities
There is a constant need to build both organisational capabilities and individual skills: to deploy technology effectively and realise its innovative potential.
New Roles
As AI technology becomes an everyday working companion, it is important to clearly define the role and responsibilities of humans when dealing with AI. Change is increasingly being driven from the bottom up, but it must also be closely linked to top-down change. Furthermore, technological change is often associated with job insecurity. Change management must address these concerns and strengthen the role of humans.
Uncertainties
It is unclear what capabilities AI will develop in the coming years, or how quantum computing will transform organisations. Rather than being guided by a fixed vision of the future, change management must work with forward-looking scenarios and anticipate future developments.
Anticipate risks
This changing environment also demands early anticipation of emerging risk, from quantum computing's change of cryptography and QIS, to AI-driven automation lacking traceability or human oversight, to bias, hallucinations, and cyber threats. Consequently, risk management is becoming an integral part of change management.
Organisational changes are being driven by new technological requirements.
Both artificial intelligence and quantum technologies challenge established organisational structures, albeit at different speeds and through different mechanisms. AI is already reshaping the world of work. Quantum computing, on the other hand, requires preparations to be made amid considerable uncertainty. Consequently, change management must grapple with two different transformational logics simultaneously.
Artificial intelligence
Work is changing. On the one hand, AI is supporting work processes, shortening them and shifting more work steps into the background. On the other hand, employees' oversight activities are increasing. Work is becoming more intensive. New roles are emerging that employees must adapt to.
Governance is becoming an integral part of the organisation, and clear guidance is needed on the responsible design, implementation, use and application of AI, as well as on oversight and control mechanisms, and on clear accountability for the process and outcome.
Quantum technology
Quantum computing presents a whole new set of challenges.
1) Skilled staff: Specialists are in short supply, and most roles require in-depth academic training. Rather than relying solely on external recruitment, companies must build up in-house expertise at an early stage.
2) technological uncertainty: As competing hardware approaches have not yet produced a dominant standard, companies must keep their investments flexible.
3) Security. Future quantum computers could break current encryption methods, so the transition to post-quantum cryptography is a strategic priority.
4) Capabilities: Very few organisations can develop quantum capabilities independently. Strategic partnerships and networks will therefore become a structural element of innovation.