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AI has fueled years of predictions that software engineers would be among the first major white-collar workers displaced by automation. But recent labor-market data points to a more complicated story.

A new analysis from Citadel Securities argues that demand for software engineers, often described as one of the occupations most exposed to AI, has continued to rise instead of collapse. The firm says software engineer job postings are now up 18% from an inflection point in May 2025, while overall job postings are down roughly 4% over the same period.

Software Engineering Demand Is Moving Against the AI Layoff Narrative

The key claim is not that AI has no effect on software work. It clearly does. Coding assistants, agentic development tools, and automated code review systems are changing how developers work. But the data cited by Citadel suggests those tools may be increasing the amount of software work companies want to do, rather than simply eliminating the need for engineers.

This is the opposite of the simplest “AI replaces programmers” narrative. If AI makes developers more productive, companies may respond by building more software, launching more internal tools, modernizing more systems, and hiring more engineers to take advantage of that expanded capacity.

Illustrative Hiring Trend

The chart below is an original simplified visualization based on the reported trend: software engineering postings rising after May 2025 while overall postings remain weaker.

Why AI Could Increase Demand for Engineers

The basic economic argument is that productivity gains do not always reduce employment. In some cases, they expand demand. When a tool makes work cheaper or faster, companies often find more uses for that work.

For software engineering, that means AI coding tools may allow companies to take on projects that previously looked too expensive, too slow, or too low-priority. Instead of building fewer things with fewer people, companies may try to build more things with better-leveraged teams.

This is especially plausible because software demand is not fixed. Businesses still need internal automation, data tools, customer-facing apps, cybersecurity improvements, AI integrations, cloud migrations, and legacy-system modernization. If AI lowers the cost of building software, the backlog of desired software projects may grow rather than shrink.

Job Postings Are Not the Same as Hires

There is an important caveat: job postings are not the same as actual employment. Companies can post roles they do not fill, keep evergreen listings open, or advertise speculative openings. A rise in postings does not automatically prove that software engineer employment is rising at the same rate.

Still, postings are a useful signal of employer demand. If companies were rapidly abandoning software engineers because AI could replace them outright, a sharp rise in software engineering job postings would be difficult to explain.

The More Realistic AI Jobs Story

The stronger conclusion is not that AI is harmless. It is that AI’s impact on work is uneven. Some tasks may be automated. Some junior roles may become harder to enter. Some companies may expect fewer people to produce more output. But that does not mean demand for skilled software engineers disappears.

In fact, the labor market may be moving toward a different split: fewer purely repetitive coding tasks, more demand for engineers who can design systems, review AI-generated code, integrate tools, secure applications, manage infrastructure, and translate business problems into working software.

Key takeaway: AI may be changing software engineering faster than it is eliminating software engineering.

What This Means for Developers

For developers, the practical takeaway is clear: the market is not simply “AI replaces coders.” The better framing is “AI changes what valuable software work looks like.” Engineers who can use AI tools effectively, understand system design, verify generated code, and solve real business problems may become more valuable, not less.

For employers, the message is also clear. AI tools are not a substitute for engineering judgment. They can accelerate development, but companies still need people who understand architecture, security, product requirements, reliability, and maintenance.

The Bottom Line

The latest Citadel Securities analysis challenges the popular idea that software engineering demand is collapsing under AI pressure. The reported rise in software engineer postings suggests that companies may be responding to AI by expanding their ambitions rather than simply cutting technical labor.

That does not mean every developer is safe from disruption. But it does mean the “AI jobs apocalypse” story is too simple. The more likely reality is a reshaped software labor market where AI increases output, changes job requirements, and rewards engineers who can work above the level of raw code generation.

Sources

• Citadel Securities: The Economics of Intelligence
• Citadel Securities: The 2026 Global Intelligence Crisis
• Business Insider: Citadel Securities Response to AI Job-Loss Concerns