Navigating the New Talent Landscape: How Leaders are Adapting to AI’s Impact on the Game of Talent

Presented by Indeed

Artificial intelligence (AI) is transforming the way we work, leading organizations to reconsider the skills they require, their hiring practices, and how they retain talent. According to Indeed’s 2025 Tech Talent report, tech job postings are still lower than pre-pandemic levels by over 30%, yet the demand for AI expertise is at an all-time high. New roles are emerging rapidly, from prompt engineers to AI operations managers, pushing leaders to bridge skill gaps while supporting their teams through change.

Recently, Shibani Ahuja, SVP of enterprise IT strategy at Salesforce; Matt Candy, global managing partner of generative AI strategy and transformation at IBM; and Jessica Hardeman, global head of attraction and engagement at Indeed, engaged in a roundtable discussion about the future of tech talent strategy, covering topics from hiring and reskilling to its impact on the workforce.

Organizations aiming to find suitable candidates must ensure clear communication right from the start, beginning with a well-crafted job description, as emphasized by Hardeman.

Hardeman mentioned, “How clearly are you outlining the skills that are actually required for the role, versus using very high-level or ambiguous language. Skill-cluster sourcing is also highly recommended to identify candidates adjacent to niche skills that can be upskilled quickly.”

Recruiters need to enhance their skills to spot potential in candidates and once hired, companies should focus on nurturing talent from day one. Mentorship, AI fluency, and upskilling should be embedded in the onboarding process and ongoing development.

As AI integrates into daily technical work, organizations are redefining the roles of developers, designers, and engineers. Rather than automating roles entirely, companies are developing AI agents to work alongside employees, supporting them throughout the software development lifecycle.

Candy highlighted IBM’s Consulting Advantage platform, serving as a unified AI experience layer for consultants and technical teams, where consultants can access various agents to aid them in their tasks.

Companies are mapping tasks across traditional tech roles and building agents to enhance them, focusing on supporting individuals at every stage of the software delivery process.

Successful organizations navigating AI implementation prioritize their employees, focusing on use cases that solve team challenges rather than solely automating tasks.

Ahuja stressed the importance of preserving human accountability in decision-making, balancing AI capabilities with human judgment and ethics.

Creating a culture comfortable with AI use is crucial. Companies like Salesforce are fostering discussions around AI through platforms like Slack, encouraging employees to share experiences and hacks.

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