Accenture and Tech:NYC's third annual report on AI in New York City, based on a survey of 500 executives, labor-market analysis and CB Insights research. It reports more than 55,000 NYC job postings asking for AI or machine-learning skills in the first half of 2026.
Western Governors University's second annual Workforce Decoded survey of more than 3,100 U.S. hiring professionals, examining how AI is changing the skills employers need and how they verify that candidates actually have them.
HR Addict guest article arguing that AI adoption dashboards measure tool usage rather than real capability, and proposing a seven-step process for verifying workforce AI skills.
An explainx.ai guide ranking ten underlying AI skills — from AI literacy and context engineering to agents, verification, and domain judgment — with an order to learn them in, a 90-day plan, and a quarter-by-quarter path for 2027. The authors label which parts are their own judgment and note where the underlying evidence was unavailable.
ICIMS Insights September 2026 Workforce Report, drawing on data from more than 3.1 million users and 691 million candidate profiles, finding job openings outpacing hires for a third straight month and a widening gap between employer-desired AI skills and how job seekers are acquiring them.
Sabrina Ramonov's step-by-step Substack tutorial that walks from simple AI questions up to a first autonomous AI agent. Five stages: Ask AI, Think with AI, Teach AI, Delegate to AI, and Automate with AI - each with copy-and-paste prompts, ending with an agent that connects to your tools and prepares a weekly report on its own. Cites PNC Research (July 2026) finding that 98% of US households still are not paying for AI in 2026.
A Forbes Business Development Council column (Sept 15, 2026) arguing that the habit of continuous learning matters more for AI-era careers than any single technical skill.
Why I recommend it: Forbes Councils columns are written by paying council members, not Forbes journalists, so treat this as one practitioner's opinion. Forbes may limit free articles per month.
Free guided 'missions' that walk you through building a small, real AI project in under an hour — an assistant, an app or site, a data analysis, a design, an image or video piece, or a research task. Missions are grouped by career (AI for Teaching, AI in Marketing, AI in Sales, Entrepreneurship) and built with partner tools including OpenAI, Google, Figma, Notion, Replit, Vercel, Gamma, Clay, Slack and Lovable. You finish with a working project, and completed projects are shown on your Handshake profile so employers see the work rather than a resume line. Free to get started with a Handshake account.
Why I recommend it: This is the fastest honest answer to 'I have no AI experience on my resume' — an hour gets you something you actually built and can talk about in an interview. Three caveats worth saying out loud: Handshake says free to get started rather than free forever, so check the current terms on the page; the partner tools each have their own free limits, which is where a cost can appear; and a one-hour mission is a starting point, not evidence of depth, so be ready to explain what you would do differently with more time.
Five-step walkthrough from Innovating with AI on creating a reusable Claude Skill so an assistant writes and works in your voice.
Why I recommend it: Details: build one skill around a task you repeat weekly — cover letters, client recaps, outreach — and you will feel the payoff immediately.