Published: 21 August 2023
Generative AI is changing three key managerial responsibilities of software engineering leaders — oversight of software engineering teams, talent management and creation of ethics policies. To lead effectively in the age of generative AI, software engineering leaders must prepare for these changes.
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Using generative AI in software engineering leads to an increased focus on team productivity due to the widespread perception that the key benefit from the technology will be cost reduction.
Generative AI tools disrupt how software engineering leaders manage talent by streamlining different stages of recruitment, ranging from job posting to onboardingand skills management. This is causing organizations to rethink their existing workforce management strategies.
Generative AI introduces ethical challenges due to biases, a lack of transparency and accountability, and factual errors. These challenges mandate the creation of new ethics policies.
Software engineering leaders must:
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