Is AI Killing Entry-Level Jobs? And Why Senior Care Is Booming

What It Covers

Scott Galloway addresses three listener questions: how AI is reshaping entry-level hiring (new grad hires at big tech dropped from 25% to 7% since 2023), why senior care businesses have a 94% success rate amid demographic tailwinds, and whether financial advising careers remain viable in an AI-driven economy.

Key Questions Answered

• •Entry-level AI displacement: Stanford research shows entry-level employment in AI-exposed occupations fell 13% relative to less-exposed roles since generative AI adoption began, with the decline concentrated in workers aged 22–25. Experienced workers in identical roles saw stable or growing employment, meaning AI is eliminating the bottom rung, not the whole ladder.
• •AI interview strategy: Job seekers must now answer four questions in every interview: what differentiates you, how that differentiation applies to this role, how you maintain it, and how AI will affect the job. Demonstrating domain-specific AI literacy — for example, explaining how you use LLMs for product launch analysis — is now a baseline hiring expectation.
• •Senior care investment thesis: The 85-plus U.S. population is projected to double from 6.5 million to 13.7 million by 2040. Average annual healthcare spending per person over 65 runs $22,000 — 2.5 times that of working-age adults. Senior care businesses report a 94% success rate, the highest of any small business category, driven by low competition and strong demographic tailwinds.
• •Unattractive markets yield superior returns: Businesses with low social appeal — senior care, industrial SaaS, tax law — consistently outperform glamorous sectors like restaurants, entertainment, and consumer brands. Human capital overflows into attractive industries, compressing returns. Targeting a doubling addressable market with few competitors entering due to perceived unattractiveness is a structurally advantaged position.
• •Financial advising durability: Wealth management at Goldman and JPMorgan is growing, not shrinking, because tax code complexity keeps increasing. Advisors are moving upstream into estate planning, succession strategy, and inheritance structuring — areas where clients want human judgment alongside AI outputs. The first decade is difficult client acquisition; the long-term book-of-business model remains structurally sound.