In a recent LinkedIn post, Daniel Priestley explores a counter-intuitive economic paradox: how advancements in Artificial Intelligence, specifically in coding, could paradoxically lead to a global shortage of software developers.
Priestley draws parallels to historical economic phenomena, such as the Jevons Paradox, where increased efficiency in resource use leads to a rise in overall consumption. He posits that AI’s ability to drastically reduce the cost and time required to create software could democratize startup creation on an unprecedented scale.
The AI-Driven Startup Boom
According to Priestley, AI could transform the landscape of software development, making it significantly cheaper and faster to launch new ventures. He outlines a scenario where what once cost hundreds of thousands of dollars and months of work could soon be achievable for a fraction of the price and time.
“Imagine this, AI sudddenly makes it cheaper and easier than ever for millions of people to create a software startup. What used to cost $500K and 6months, now costs $2000 and 2 weeks.”
This dramatic reduction in barriers to entry, Priestley argues, will likely lead to a surge in new software startups. Each of these new ventures, he notes, will require skilled human talent to thrive.
Increased Demand for Human Developers
Priestley’s central thesis is that this proliferation of AI-powered startups will, in turn, create a massive demand for human software developers. He explains:
“Suddenly everyone has a software idea that only requires 1000 users to be profitable. Millions of small software startups launch and each of them wants at least one real human software developer on their team. The automation of coding creates a massive demand for coders!!”
He supports this idea by referencing historical precedents. For instance, the advent of smartphones, which placed powerful cameras and editing studios in everyone’s hands, did not eliminate the need for camera operators and editors; instead, it sky-rocketed global demand for them. Similarly, the automation of accounting functions by spreadsheets led to an increase, not a decrease, in demand for accountants and analysts.
Historical Parallels and Unintended Consequences
Priestley further illustrates this point with the example of YouTube. He contrasts the high financial threshold for producing a TV show in the 1990s with the current landscape, where individuals can achieve profitability with modest audiences.
“YouTube massively lowered the bar for what could be a viable TV show. In the 90s a TV show needed to make $5M per episode to get a green light. Now you can have a guy cleaning rusty tools in his shed with 200K subscribers making $5K a month profit.”
He also touches upon the concept of ‘giving away value’ to drive demand, citing chefs offering recipes and consultants publishing their best ideas. In Priestley’s view, this principle applies to AI’s impact on various professions.
A Future of Shortages?
Ultimately, Daniel Priestley suggests that the efficiency gains brought about by AI in business creation could have far-reaching, unintended consequences across multiple sectors. He concludes:
“It’s entirely possible that AI makes it so efficient to start a business that within a few years, there is a massive shortage of lawyers, accountants, developers, marketing and sales people.”
Priestley’s analysis highlights the complex and often unpredictable nature of technological adoption and its impact on the economy, suggesting that innovation can create new demands even as it automates existing tasks.
📝 About This Content
This article is based on insights shared by Daniel Priestley on LinkedIn.
📅 Originally posted on February 12, 2026 | View original post on LinkedIn →