44% of Tech Job Postings Mention AI. Only 10% Require It.
Every company wants to be an AI company. Far fewer want to hire for it. We measured 182,470 job postings and 568,663 tech CVs: employers mention AI four times more often than they ask for it.
#llm
Posts tagged llm.
Tech blogs write about LLMs too much. Job postings hire for these other skills instead.
Tech bloggers are writing about Claude Code at 2x the rate jobs need them. Employers are hiring for Looker at 10x the rate anyone's writing about it. We measured the gap across 74 skills, 205,895 job postings, and 408,420 blog posts.
The Breakout Blog Author of May 2026 Doesn't Exist
The number-one breakout author in the Skillenai blog index in May 2026 is a man named Daniel Mercer who does not exist. He is the centerpiece of an AI-native Private Blog Network (PBN) — 221 fake bylines across 333 cheap cloud-themed domains — built to game a PageRank-style authority signal. This is the SEO content-farm attack of the 2000s, rerun on a labor-market corpus with LLM-generated content.
Product Engineer Is Not the Intersection of PM and Software Engineer
A popular framing says Product Engineer sits at the intersection of Product Manager and Software Engineer. We measured the overlap across 35,067 job postings. There is no fat intersection region. Product Engineer is a modern-stack SWE archetype.
AI Engineers Wire APIs. ML Engineers Fine-Tune the Model.
AI Engineer postings mention fine-tuning more than any other role (26.2% vs 18.2% MLE vs 4.9% DS) — but a deep dive into 6,802 jobs shows the technical fine-tuning toolkit (LoRA, RLHF, distillation, post-training) actually lives in ML Engineer postings.
Idea Frontier #4: Enterprise Agentics, DaaS, Self-Improving LLMs
TL;DR — Edition 4 zeroesin on three tectonic shifts for AI founders: 1. Enterprise Agentics – agent frameworks such as Google’s new ADK, CrewAI and AutoGen are finally hardened for production, and AWS just shipped a…
Idea Frontier #2: Dynamic Tool Selection, Memory Engineering, and Planetary Computation
Welcome to the second edition of Idea Frontier, where we explore paradigmshifting ideas at the nexus of STEM and business. In this issue, we dive into three frontiers: how AI agents are learning to smartly pick their…
The Transformative Impact of Multimodal LLMs
The integration of multimodal capabilities into large language models (LLMs) represents a paradigm shift in artificial intelligence, fundamentally altering the trajectory of natural language processing (NLP). By…
GenAI in 2025: Existential Threats and Career-Defining Opportunities
Generative AI (GenAI) is set to fundamentally alter the landscape of data science, software development, and startups in 2025. There are 3 overarching themes that drive all these changes. 1. The Final Model multimodal…
Can LLMs Synthesize New Knowledge?
My old friend Ryan Casey posed this question recently, and wrote up a nice theory with a proposed solution to the question which he calls Probabilistic Knowledge Synthesis (PKS). The purpose of my post here is to…