AI startups' obsession with hiring elite "cracked" engineers from top firms overlooks broader talent pools, inflating costs and stifling innovation amid a talent crunch. Declining entry-level roles exacerbate shortages, but diversifying recruitment and upskilling could unlock untapped potential and build resilient teams for 2026's pragmatic AI advancements.