The Diary Of A CEO

Daniel Priestley: Plumbers Will Earn More Than Lawyers! I Predicted 2008, Now I'm Warning About 2029

with Daniel Priestley
16 Mar 2026 28 min read 1h 47m
TL;DR

Daniel argues we're entering a transformational period similar to the agricultural-to-industrial revolution shift, where blue-collar work will become more valuable than white-collar jobs as AI disrupts knowledge work. While the Jevons Paradox suggests new opportunities emerge from technological disruption, Daniel warns of a potential 2029 financial crash caused by the unsustainable $650 billion annual spending on data centers that last only 3-4 years—worse than any historical infrastructure bubble.

Key Moments
Daniel Priestley
“the nature of the economy is changing. For a long time, blue-collar work like plumbers, electricians, bricklayers has been devalued. But, it could be in the next couple of years, these are the roles that are elevated the most, and that plumbers regularly earn more than lawyers.”
Opening statement about how AI will invert job market value
▶ 0:05
Daniel Priestley
“every time you go on AI, your request is going off to a big computer in a Walmart-size building somewhere, and those big ginormous computers, they last 3 to 4 years before they need to be replaced. And this year ahead, we're going to spend 650 billion, and that could cause a massive financial collapse.”
Explaining his bear case for AI—the unsustainable economics of data center infrastructure
▶ 0:35
Daniel Priestley
“if there's one skill set that everyone should be learning at the moment, it's how do entrepreneurs think? How do entrepreneurs behave? What are the skills that make an entrepreneur successful?”
Answering what skills will survive and thrive in an AI-dominated world
▶ 1:14
Daniel Priestley
“it's not that those exact same jobs uh are are replicated, it's that something similar emerges as a result. So, uh I think it's something like three to four times more people now make their money in a way that kind of looks like a journalist than there ever were journalists prior to the technology that disrupted journalists.”
Explaining the Jevons Paradox using journalism as an example of job market evolution
▶ 9:39
Daniel Priestley
“one of the best opportunities is a small SaaS company. So software as a service was an elite-level business opportunity that very, very few people could enter... Now, because of AI, all of those costs have massively come down. And there are software companies that are wildly profitable that have 500 customers or 1,000 customers.”
Identifying specific AI-enabled business opportunities available to ordinary entrepreneurs
▶ 24:46
About Daniel Priestley
›
Daniel Priestley is an entrepreneur and business strategist who has built companies from scratch over the last 25 years, surviving the dot-com crash, 2008 financial crisis, Brexit, and COVID. He predicted the 2008 economic crisis and now warns of a potential 2029 financial collapse driven by unsustainable AI data center spending. He specializes in helping founders identify opportunities, validate ideas, and scale businesses using entrepreneurial frameworks.
Takeaways
1
Blue-collar skills gain premium value in AI era As AI commoditizes knowledge work, hands-on trades like plumbing and electrical work become increasingly scarce and valuable. This inverts 25 years of wage suppression in manual labor, suggesting career strategy should prioritize skills robots and AI cannot easily replicate—particularly those requiring physical presence and contextual judgment.
2
2029 financial crash risk from data center bubble The AI industry is spending $650 billion annually on data centers with 3-4 year lifespans—shorter than any historical infrastructure investment (railways lasted 100 years, roads 50+, fiber 30 years). This economic model is mathematically unsustainable and mirrors the patterns that triggered previous financial collapses when infrastructure spending exceeded 3% of GDP.
3
Entrepreneurial thinking beats job specialization Rather than learning specific technical skills, the most resilient career strategy is mastering the entrepreneurial value creation loop: identifying opportunities, validating demand, achieving product-market fit, selling, scaling, and exiting. This framework applies within corporations seeking innovation and enables individuals to leverage AI tools to build profitable niche software businesses with minimal capital.