How Generative AI Changes Organizational Culture

Thu May 18 2023

Generative AI and Job Losses

Generative AI can lead to job losses, but reskilling employees for different jobs can help overcome this.

Building the right culture is necessary for successful innovation and competition with generative AI.
Culture plays a crucial role in ensuring accountability and responsibility when using generative AI.

Organizations ready to move into AI have a center of excellence or a group focused on AI experimentation.
Organizations are not currently set up for generative AI, but adoption and curiosity around it has been extraordinary.
Cultural and organizational changes are needed to ensure people understand these technologies fully.

Leadership and human side are important factors in shaping an organization's culture to embrace AI.
Leaders need to guide the way these tools are implemented to avoid consequential mistakes.
Leaders must make room for foundational questions about the impact of generative AI on workers and society.
Leadership requires both learning and compassion.

Guard rails are needed to ensure responsible usage of generative AI within organizations.
A culture of responsible AI use needs to be embedded from the start with ethical considerations in every decision.
To prevent harmful bias, diversity is important in designing systems and strict rules around documentation and transparency must be set.
Individual users are responsible for what they put out in the world by using these tools.
Users need to be extra thoughtful, careful and verify oversight.
Generative AI is not a shortcut or cheating tool, but a tool that needs to be celebrated.
Organizations need to determine safeguards and guardrails for the best possible results without getting into trouble.

Management teams and boards have questions about the impact, disruption, and safety of generative AI.
Management has questions about the impact of AI on their business, how fast it will materialize, and how disruptive it could be.
Missed opportunities occur when organizations view AI as just another hype cycle or leave it up to IT or data science teams alone.

Cultural fluency education is critical for employees to apply AI responsibly and safely.

Organizations that view AI as a moment in time to question their basis of thriving are able to progress forward.

Companies need to push cultural boundaries when considering the rise of intelligent machines.

Piloting, iterating, and continuous learning is necessary with a communication plan in place.
Encouraging a culture of flexibility, innovation, and continuous learning is important while providing support for those who struggle.
Skill building requires a hearts and minds framework with buy-in and self-efficacy as dimensions.
Individual managers need to understand where their team members are in terms of buying and sense of efficacy while providing organized training guides.

Automation will change the nature of jobs, but every technological revolution has created more jobs than it destroyed.

Generative AI comes with ethical risks such as perpetuating harmful biases and violating privacy.

Technical skills are important, but timeless leadership skills around integrity, accountability and fairness are equally important.
Trust is one of the most powerful organizational characteristics that companies need to upskill on.
Leadership fundamentals remain important with less flexibility on poor leadership.
Every leader has to work on becoming a digital leader with a digital mindset.