The current landscape of recruiting startups is much more promising than it was five years ago, with AI enabling better evaluation of candidates' skills.

AI has unlocked the ability to evaluate candidates in recruiting, allowing startups to build large labeled datasets quickly, which was previously a lengthy process.

The rise of AI coding tools has led to a shift in hiring practices, with founders focusing on software engineers who can create processes using AI rather than hiring more personnel immediately.

The rise of AI tools presents real problems that can now be solved, which were not solvable just a few months ago, indicating a shift in startup opportunities.

AI can help create meaningful assessments for hiring, making it easier to evaluate candidates effectively.

Hiring practices must evolve to assess how well candidates can use AI tools, as traditional questions may no longer effectively gauge competence.

There's a growing trend where companies are looking for engineers who are adept with AI coding stacks, and interview processes are adapting to evaluate candidates' proficiency with these tools.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.

Now is the perfect time to build AI startups because many ideas that were previously unviable are now possible due to advancements in technology.