The AI Apocalypse: How Gen AI is About to Destroy Your Job (And What You Can Do to Survive)
Imagine a future where the norm is constant disruption, and you're ready to lead the charge. Are you prepared to redefine success with groundbreaking strategies?
As the world becomes increasingly dependent on software, the demand for skilled software talent is skyrocketing. But what happens when AI takes over the coding tasks, and humans need to focus on higher-value skills? The answer lies in rethinking your talent strategy.
**The Gen AI Skills Revolution**
Gen AI is transforming the software development life cycle, and it's time to adapt. With AI-generated code, developers will need to shift from doers to reviewers, ensuring high-quality code and understanding how to give tools feedback. Integrating multiple AI agents will improve problem-solving speed and solution quality. And as AI takes over more tasks, engineers will develop new skills like writing user stories, developing code frameworks, and understanding business outcomes.
**New Skills for a New Age**
To succeed in this new era, software teams will need to develop skills in three areas:
1. **Review**: Developing advanced forensics skills to identify and address issues, and understanding how to give AI tools feedback.
2. **Connect**: Integrating multiple AI agents, understanding how to select and combine gen AI applications and models, and developing communication skills to ensure effective engagement with teams, leaders, and customers.
3. **Design**: Focusing on higher-value skills like writing user stories, developing code frameworks, and understanding business outcomes.
**Product Managers: The New Frontier**
Product managers will also need to upskill, focusing on:
1. **Gen AI technology use**: Developing proficiency with low-code and no-code tools, iterative prompts, and understanding how to work with large language models (LLMs).
2. **Adoption and trust**: Developing empathy skills to identify implicit and explicit barriers to trust, and addressing them to ensure successful adoption.
**Emerging Roles and Leadership Oversight**
As AI takes over more tasks, roles will absorb new responsibilities, and some roles will merge with others. Leadership will need to provide strong oversight, focusing on standardization and risk management.
**Talent Management Transformation**
HR leaders must transform their approach to talent management, focusing on strategic workforce planning and apprenticeship capabilities. By building a skills-based approach, companies can evaluate what skills they have, which ones they need, and which ones AI tools can cover.
**Join the AI Skills Revolution**
Are you ready to lead the charge in this new era of software development? Share your thoughts on how you're preparing for the AI skills revolution, and let's redefine success together!
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