Part 8/12:
He emphasizes that many organizations are still weighing short-term ROI against the substantial investments needed for scaling. Furthermore, deploying generative AI poses operational and ethical challenges: high costs, data privacy concerns (especially with laws like GDPR and CCPA), and accountability for AI-generated outputs. Additionally, the need for specialized skills—including domain expertise, AI/ML engineering, and responsible AI practices—acts as a barrier to widespread adoption.