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D2C founders: before you post that $200k “AI hire,” listen to this.

We break down why panic hiring fails and what to do instead so you ship real wins fast without bloating payroll.

Key talking points and sections

• The $200k panic hire: what the AI Talent Trap is and why it’s costly
• Why the “genius hire” fails: data (no kitchen), context (ivory tower), strategy (no use case)
• Role decoder: who you actually need (AI translator vs data scientist/engineer/analytics/ML)
• Data readiness gate: simple checks before any hire
• The Buy–Upskill–Partner playbook (with D2C tool examples)
• Partnering the right way: SOW, governance, and CFO lens
• Agency-led 8‑week pilot: how we’d run it for a small/mid D2C brand
• Stage-based roadmap: pre-hire, first hire (when + what to prioritize), scale
• Governance and metrics that matter
• Red flags to avoid.

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• LinkedIn: ⁠Leo Sadeq⁠
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