Leading with AI
Franck Appleby
Global HR | Talent | Transformation | OD | Leadership | Culture | CHRO
The biggest barrier to AI adoption is not technology or employee readiness, but leadership. In a new report from McKinsey, only 1% of companies consider themselves mature in AI deployment. There is a need for business leaders to steer their organizations towards AI maturity to unlock new levels of creativity and productivity.
Leaders need to create AI readiness across 4 dimensions:
1) Business Strategy fit: To ensure that AI is aligned to strategic business direction
2) Technology: Implementing and maintaining the right technological infrastructure.
3) Employees: Investing in training and upskilling employees to harness AI effectively.
4) Safety: Ensuring robust safety measures to protect against data breaches, biased outputs, and other risks.
Leadership challenges relating to AI:
Delivering speed and safety: Balancing rapid implementation with ensuring safety and compliance.
Transparency, explainability, and accuracy: Making AI decisions understandable and transparent to stakeholders, while ensuring they are accurate.
Cultivate Employee Readiness and Optimism: Many employees describe themselves as AI optimists but are asking for upskilling.
From project use case to scalability and commercialization: Transitioning AI from experimental projects to scalable and commercially viable solutions.
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"Take" vs. "Shape" AI Solutions: Deciding whether to "take" AI solutions off the shelf from tech vendors or to "shape" and customize them to fit the company's specific needs.
Generating ROI: As companies move on from the initial phase of piloting AI, business leaders face increasing pressure to generate return on investment (ROI) from their AI deployments.
Critical Questions for Leaders:
Is your AI strategy ambitious enough?
Do you want to transform your whole business?
How do you gain a competitive advantage by investing in AI?
What does successful AI adoption look like for your organization or area of the business?
What skills define an AI-native workforce?
How can you create opportunities for employees to develop these skills on the job?
What success indicators will you use to evaluate whether your investments are yielding the desired ROI?
I help Executives & Leaders successfully up- and reskill their organizations with AI-powered personalized learning | "Live as if you were to die tomorrow. Learn as if you were to live forever." Gandhi
1 个月Thanks Franck Appleby for this important impulse. ?? Your question "What skills define an AI-native workforce?" really resonated with me as your people are the ones who are moving the needle every day. In of your earlier posts on "Skill Trends in Pharma" (https://shorturl.at/Mk8v7), you gave some answers to this question. This made me think. How do you identify and bridge the #skill #gaps in your workforce to ensure long-term AI proficiency?