IT Jobs Watch

Since 2004, IT Jobs Watch has published real-time IT job market trends & actionable insights

[IT Jobs Watch @ITJobsWatch]

Protocols organise coordination from formal standards to informal norms. The Protocol Field maps them against the gravity of protocol debt. Applying this diagnostic framework to human-AI coordination makes these emergent patterns legible.

https://t.co/a0iLCL13xa #protocoldebt

[IT Jobs Watch @ITJobsWatch]

The Persistence of AI-Mediated Protocols. This essay defines strange protocols. The opaque, emergent patterns that arise from networks of AI agents operating at scales beyond human comprehension.

https://t.co/Q5RiCW21fj

[John Grant @jhngrant]

AlphaZero, AlphaFold, AlphaProof. A decade of AI whose reasoning is not human and whose outputs arrive at scales no community can read. Silver and Sutton describe the next stage as the era of experience, where models learn to reason in nonhuman terms rather than on finite human data.

The history of software engineering is a ladder of abstraction. Each rung lifts the work to a wider audience. Machine code -> assembly -> C -> Python -> natural language. The ladder exists so humans can climb it.

But the rungs are not features of computation. Patterns, idioms, textbooks, even the category "software engineer". These are not just tools. They are constitutive constraints built around a human reader. The ladder still stands but the territory it leads to is not where the work happens anymore. The same logic applies to accountants, lawyers, statisticians, actuaries, translators, editors. Wherever a profession was built around a reader.

What are the rungs for, when nobody is climbing?

[IT Jobs Watch @ITJobsWatch]

Despite recent uncertainty in UK technology hiring conditions, our research points to a positive future for software engineers. This Bloomberg report confirms what we are seeing: AI is not replacing developers, the role is evolving.

https://t.co/wo00AxwnrO

[IT Jobs Watch @ITJobsWatch]

If you are wondering what 'working with AI' means for your career, this essay reframes the question. The language used to describe human-AI interaction may itself be the problem. The human capacities that matter most are the ones that resist automation.

https://t.co/C4N4ujZQlN

[John Grant @jhngrant]

https://t.co/d8qmHvfo1z

[IT Jobs Watch @ITJobsWatch]

How tech pay differs across the UK, Germany and the US.

https://t.co/49V9WWexfz

[IT Jobs Watch @ITJobsWatch]

The middle loop: A new category of supervisory engineering work is forming between inner-loop coding and outer-loop delivery. Nobody has named it yet.

https://t.co/PsO0d2WCpt

[IT Jobs Watch @ITJobsWatch]

State of React 2025

https://t.co/sae3RpnAJN

[IT Jobs Watch @ITJobsWatch]

The State of React 2025 survey reports a mix of Single Page Applications (SPA), Server-Side Rendering (SSR) and Static Site Generation (SSG). Awareness of these rendering patterns and associated skills helps assess the range of employment opportunities within the React ecosystem.

[IT Jobs Watch @ITJobsWatch]

Study finds developers using AI finished initial work faster, and subsequent maintenance by a separate developer was not measurably worse. Open question is whether this scales without building "cognitive debt" across larger codebases and longer timeframes

https://t.co/PCM2rslfPg

[IT Jobs Watch @ITJobsWatch]

In these early stages of co-evolution, human workflows and AI agents have not yet adapted to one another. The implication is that having more capable models won't be enough. But in time, this supervisory craft will define new protocols that reduce the collaboration overhead. 3/3

[IT Jobs Watch @ITJobsWatch]

In the domain of coding, the likes of Gemini, Claude, and Codex are steadily improving. What is lagging is the co-evolution of practice. Recent research shows that despite anticipated productivity gains the opposite is often experienced. ... 1/n

[IT Jobs Watch @ITJobsWatch]

But if you consider coding agents as a form of synthetic labour rather than just productivity tools, a variant of Brooks' Law applies:

>Adding synthetic manpower to a late software project makes it later.
... 2/n

[IT Jobs Watch @ITJobsWatch]

Stanford researchers suggest 2026 will be less about AI hype and more about accountability. We anticipate a greater demand for AI evaluation, deployment outcome monitoring and human-AI collaboration protocols.

https://t.co/HmsKhiiDc3

[IT Jobs Watch @ITJobsWatch]

The 2025 GitHub Octoverse report suggests a structural skills shift: AI-assisted development and a rise in typed languages, with TypeScript overtaking Python. All signals worth watching in the IT job market.

https://t.co/QUnfX1ieB7

[IT Jobs Watch @ITJobsWatch]

JetBrains 2025 Developer Ecosystem Survey.

Based on the input of 24,534 developers from 194 countries and regions.

https://t.co/vi1FKz2GYj

[IT Jobs Watch @ITJobsWatch]

2025 Stack Overflow Developer Survey

https://t.co/SHUs5qmqqz

[Simon Willison @simonw]

Quitting programming as a career right now because of LLMs would be like quitting carpentry as a career thanks to the invention of the table saw.

[IT Jobs Watch @ITJobsWatch]

PwC's 2025 Global AI Jobs Barometer reveals that AI can make people more valuable, not less – even in the most highly automatable jobs. PwC analysed close to a billion job ads to uncover AI's global impact on jobs, skills, wages, and productivity.

https://t.co/mPDcdajkvx

[IT Jobs Watch @ITJobsWatch]

Stanford's 2025 AI Index Report presentation covers trends across R&D, technical performance, ethics, economy, education, policy, diversity and public opinion in AI.

https://t.co/cahJupWXFJ