The Truth About Agentic AI No One Tells You | Ep 49

What if the AI buzzwords dominating every founder conversation, prompting, RAG, context windows, and now agents, are exactly what’s causing you to miss the big picture? And what happens when saying yes to a brand-name customer quietly destroys your ability to scale?

In this episode of Inside the Silicon Mind, we sit down with Farshid Sabet, founder of Corvic, to dismantle the hype cycles that have distracted AI founders since 2022. Farshid’s career spans hardware, software, and AI at companies including SanDisk, Micron, Aptina, and Movidius, where he worked alongside industry leaders like Sanjay Mehrotra and Dr. Eli Harari. Today, Corvic operates in the B2B enterprise space, helping large organizations across healthcare, banking, retail, and industrial sectors put AI to work.

You’ll hear why the market’s fixation has cycled from building your own models to chasing specific GPUs to obsessing over prompting, RAG, and now agentics, and why Farshid believes each contains a nugget of truth while over-emphasis on any one term causes founders to miss what actually matters. He shares the hardest no of his career, turning down brand-name enterprise customers who wanted on-prem deployments, because protecting a scalable cloud product mattered more than short-term validation. He also explains why technology has a pattern of exaggerating short-term progress, from autonomous driving to head-mounted displays, and why AI’s productivity gains are real despite the noise.

Who this episode is for:

• Founders and CEOs building AI startups who feel pressure to chase every new trend in the market
• B2B enterprise leaders weighing cloud versus on-prem decisions and the trade-offs of landing big customers
• Investors and board members evaluating what genuine validation looks like beyond early revenue
• Engineering and hiring leaders building core startup teams in the AI era
• Operators trying to separate real AI productivity gains from overhyped claims

What you’ll learn:

• Why the rotating vocabulary of AI (own models, GPUs, prompting, RAG, agentics) may be distracting founders from business fundamentals
• How agents genuinely function as autonomous applications that decide, course correct, and accomplish tasks, even as many claims around them remain overhyped
• Why turning down a brand-name customer’s on-prem request, despite disappointed advisors, may be the right call for long-term scalability
• How startup hiring should start with people you’ve already worked with, and why falling for brand-name resumes is a common trap
• How to judge mistakes by their recoverability, moving fast on reversible decisions and slowing down on ones you can’t undo