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Before increasing headcount, marketing leaders should first explore how AI can automate repetitive functions. When a new hire is necessary, Amanda Cole advises prioritizing candidates who think differently and challenge existing frameworks ('weird people') over those with traditional skill sets.
As AI handles technical tasks, uniquely human skills like curiosity, empathy, and judgment become paramount. Leaders must adapt their hiring processes to screen for these non-replicable soft skills, which are becoming more valuable than traditional marketing competencies.
Effective AI integration requires first upskilling existing marketing teams in "AI literacy" so they can understand workflows and evaluate tools. Only then should leaders augment the team with specialized external talent (consultants, vendors) to fill specific gaps, rather than hiring a single "AI expert" who lacks business context.
If a marketer's primary function is to react to and optimize for algorithms, their job is highly susceptible to being automated. True value lies in strategic thinking, human insight, and abilities that AI cannot replicate, rather than engaging in short-sighted tactical execution that AI will inevitably master.
Don't hire based on today's job description. Proactively run AI impact assessments to project how a role will evolve over the next 12-18 months. This allows you to hire for durable, human-centric skills and plan how to reallocate the 30%+ of their future capacity that will be freed up by AI agents.
For roles leveraging new technologies like AI, where tools are nascent and constantly changing, competency is a fleeting metric. Instead, hire for curiosity. A curious mind will adapt, learn, and master new tools as they emerge, making them a more valuable long-term asset.
Instead of hiring for a role like "video editor," break the job into its core tasks. Analyze which individual workflows can be automated with AI first. This shifts focus from headcount to outputs, revealing opportunities to augment or replace traditional roles with technology.
When building a team for a new domain like AI, Shai intentionally seeks people with deep passion and native understanding, even with zero marketing background. He believes his team can teach marketing fundamentals but cannot instill genuine passion or an "AI-first" mindset.
The ideal person to manage your AI sales agents is likely already on your team. Look for a quantitative, curious individual in marketing, product, or RevOps. This internal 'nerd' is a better fit than an external hire or a traditional salesperson for this new, critical role.
In a paradigm shift like AI, an experienced hire's knowledge can become obsolete. It's often better to hire a hungry junior employee. Their lack of preconceived notions, combined with a high learning velocity powered by AI tools, allows them to surpass seasoned professionals who must unlearn outdated workflows.
Powerful AI assistants are shifting hiring calculus. Rather than building large, specialized departments, some leaders are considering hiring small teams of experienced, curious generalists. These individuals can leverage AI to solve problems across functions like sales, HR, and operations, creating a leaner, more agile organization.