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A study by GoHumanize, an AI software company, examined 55 AI [skills](https://www.forbes.com/sites/bernardmarr/2026/05/12/the-new-skills-graduates-need-in-the-age-of-ai/?ctpv=searchpage) across two factors: active job listings and average pay at the entry, mid, and senior levels. The goal was to identify which [AI skills](https://www.forbes.com/search/?q=AI%20skills) are generating real demand and real income. Several are now outpacing what most four-year degrees produce in lifetime earning potential.\n\n## The AI Skills Commanding The Highest Salaries\n\nLarge language model expertise leads the list, with nearly 57,000 active job listings and average annual pay approaching $199,000. LLM fine-tuning — a more specialized subset focused on customizing models for specific applications — pays more, averaging $208,000 per year, though with far fewer openings (roughly 7,200).  \nAgentic AI, which covers building autonomous AI systems, draws nearly 42,000 job postings at an average of $197,400 annually. AI product management — less about writing code, more about deciding which AI products to build and how to bring them to market — averages $195,000, with around 26,000 listings.  \nDeep learning carries the highest raw job volume of any skill studied, at over 67,000 listings. Average pay sits at $179,000 which is roughly three times the median starting salary for recent college graduates across all majors.\n\n## Why The AI Skills-Versus-Degree Debate Deserves Scrutiny\n\nThe GoHumanize report frames its findings explicitly as an alternative to traditional degree pathways. That framing is worth pushing back on slightly. The skills at the top of the list — LLM fine-tuning, transformer architecture, deep learning — are technically demanding. Most people developing real expertise in these areas have some formal background in mathematics, computer science, or engineering.\n\nThe data show a clear trend: specific AI skills are increasingly independent of traditional credentials. For example, an individual who can effectively fine-tune a large language model may not require a master’s degree to land a job. Likewise, a product manager who can showcase successful AI product launches, rather than relying only on their educational background, is discovering more job opportunities.\n\n## What To Do With This AI Skills Data\n\nUnderstanding which AI skills are well-compensated is valuable, but knowing [where to begin](https://www.forbes.com/sites/carolinecastrillon/2025/06/16/build-ai-skills-become-irreplaceable-at-work/?ctpv=searchpage) is even more important.\n\nMORE FOR YOU\n\nStarting with [prompt engineering](https://www.forbes.com/sites/carolinecastrillon/2025/04/16/how-to-fine-tune-your-ai-prompts-for-a-competitive-edge-at-work/) and no-code tools presents the lowest barrier to entry. While the pay may be modest, the learning curve is short, making it a great starting point. From there, investing time in understanding the fundamentals of large language models (LLMs) is beneficial. Focus on the practical aspects: learn how these models behave, identify their limitations, and discover how to integrate them into existing systems. This practical knowledge is what can lead to roles with salaries around $180,000.\n\nFor entrepreneurs, the immediate question probably isn't hiring. It's understanding what you're hiring for. \"AI engineer\" means something different at every company right now. So does \"machine learning developer.\" One candidate calls an API. Another fine-tunes models from scratch. The resumes can look almost identical. Knowing the difference before you post a job — or make an offer — matters.\n\nSummer provides a valuable opportunity to explore these fields further. A few potential avenues to consider include:\n\n- **Fast.ai** offers free deep learning courses built for people without heavy math backgrounds. Practical, project-based, and used widely by people who go on to work in the field.\n- **Kaggle** hosts AI competitions and free courses in Python, machine learning, and deep learning. Completing a few competitions — even without placing — produces work samples worth showing.\n- **Google’s AI Essentials** and **Microsoft's AI Skills Initiative** both offer free, self-paced courses aimed at building foundational fluency. Neither requires a technical background to start.\n\nThe AI skills market is moving fast enough that demonstrated work often carries more weight than coursework. That’s true for a 17-year-old and a 45-year-old making a career change.\n\n## AI Skills Are Reshaping Every Industry\n\nAI skills are no longer a differentiator exclusive to technology companies. Every sector is building hiring criteria around these capabilities. For entrepreneurs, that means the talent market for these roles is competitive and getting more so. Building familiarity with the skills shaping your industry — even without deep technical expertise — is becoming less optional.\n\n[Editorial Standards](https://www.forbes.com/sites/forbesstaff/article/forbes-editorial-values-and-standards/)[Reprints \u0026 Permissions](https://www.parsintl.com/publications/forbes/)\n\nLOADING VIDEO PLAYER...\n\nFORBES’ FEATURED Video","footer":"\n\n[](https://www.forbes.com/)\n\n© 2026 Forbes Media LLC. 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Here's where to start.","imageUrl":"https://imageio.forbes.com/specials-images/imageserve/6a04df49f75752c7f3314dd7/0x0.jpg?format=jpg\u0026height=900\u0026width=1600\u0026fit=bounds","author":"Sarah Hernholm","published":null,"modified":null},"rate":{"price":{"priceMicros":0,"currency":""},"license":{"cuid":"","licenseType":"","licensePath":"","permissions":[],"validUntil":""},"error":""}}]