Why we built the TechWolf Workforce Intelligence Index

Mikaël Wornoo
September 11, 2025
3 min read

AI is reshaping work. That’s no secret. What’s often unclear is where the change lands first: which roles will evolve, which skills need development, and when redeployment makes more sense than hiring. To act with confidence, leaders need a sharper view of both the workers and the work they’re doing.
That’s the vision behind TechWolf’s Workforce Intelligence Index, a snapshot of how AI touches work in your organization and where value can be unlocked.

Why we’ve built our Workforce Intelligence Index 

AI is fundamentally reshaping work, that’s no secret. Many companies, however, are struggling to navigate this momentum of transformation. The impact on their workforce is massive, but unclear: which roles will be impacted, which skills need redeployment, which talent will need to be redeployed, which tasks can be automated or augmented? The priority for enterprises is to deeply understand the workers ànd the work they’re doing.

Enterprises fly blind in an AI hurricane

Some of the winners are already becoming clear. AI-native start-ups are growing at unprecedented rates. At enterprise-level, successful AI transformation will create enviable competitive advantages. The truth today is: most enterprises are flying blind in an AI hurricane. Business leaders’ main challenge in rolling out a full-scale AI transformation is visibility. In big enterprises, workforce intelligence is therefore no longer optional.

Where to start?

In this tool, we show a glimpse of what the solution looks like. By applying TechWolf’s purpose-built language models to a sample of over 2 billion public job vacancies, we can extract an accurate estimation of the task-level detail of the world of work at some of the world’s largest companies.

Our Workforce Intelligence Index shows a sneak peek of what workforce intelligence can look like for your enterprise and how it can help you understand work at a deeper level. Adding your own company data to this publicly available data is a first step to unlocking critical AI transformation use cases. Get in touch if you want to know more.

The Workforce Intelligence Index: what the data says

Our Workforce Intelligence Index, built on 2+ billion global job postings collected 2015–2025 across 1,500 companies (technology, healthcare, retail, consumer goods, and more), shows:

  • 62% of tasks remain fully human (judgment-led work)

  • 38% of tasks are AI-augmentable (human + AI is better than either alone); 18% of these tasks are fully automatable

In other words, only 18% of work is end-to-end automation; the bigger prize is in augmentation and redeployment.

The opportunity is to elevate work: protect judgment where it matters, add AI where it accelerates outcomes, and move people toward higher-value tasks.

TechWolf: the foundational data layer for workforce transformation

Our mission is simple: help people flourish at work by understanding work through skills and the tasks actually performed, not proxies like job titles or tenure. We provide a data layer that connects tasks, skills, and jobs so HR and business leaders can make better decisions—and employees can learn, move, and grow.

  • Partner-first. We bring intelligence to the systems you already use—Workday, SAP SuccessFactors, ServiceNow—rather than adding another HR application.

  • Publishing over patenting. Since 2018, we’ve developed inference models with research partners (e.g., Cambridge, Stanford) to turn unstructured work signals into skills and tasks. Our open-source JobBERT ranks in the top 0.05% most-downloaded models on Hugging Face, and our team has published multiple papers on jobs, tasks, and skills.

Ready to see your opportunities?
The Workforce Intelligence Index makes the first step low-friction and high-signal, so you can move faster, show early value, and build momentum in the dashboards Finance already trusts.

Discover the Workforce Intelligence Index

To explore the Workforce Intelligence Index in detail, visit the index here.

Get your index score
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Using AI while interviewing at Techwolf

At TechWolf, we see generative AI as part of the modern toolkit — and we expect candidates to treat it that way too. We love it when people use AI to take their thinking to the next level, rather than to replace it.You are welcome to use tools like ChatGPT, Claude, or others during our interview process, especially in take-home assignments or technical exercises. We encourage you to bring your full toolkit — and that includes AI — as long as it reflects your own thinking, decisions and creativity.We don’t see AI as replacing your skills. Instead, we’re interested in how you use it: to brainstorm ideas, speed up iteration, validate your thinking, or unlock new ways of approaching a challenge. Great candidates show judgment in when to rely on AI, how to adapt its output, and where to go beyond it.

What we’re looking for:

Our interviews are designed to understand how you think, solve problems, and express ideas. Using AI in a way that amplifies those things — not masks them — is encouraged.

What to avoid:

We ask that you don’t submit AI-generated work without review, or present answers that you can’t fully explain. We’re not testing the model — we’re getting to know you, your skills, and your potential. If there are cases where we don’t want you to use AI for something, we’ll tell you ahead of the interview being booked.In short: use AI as you would on the job — as a smart assistant, not a stand-in.

Example: Programming with AI

In a coding challenge, you’re welcome to use generative AI to support your workflow — just like you might in a real development environment. For instance, you might use AI to quickly generate boilerplate code, look up syntax, or get a first-pass solution that you then adapt and debug collaboratively. What we’re interested in is your ability to reason through trade-offs, communicate clearly, think about complexity and iterate effectively — not whether you memorized the syntax perfectly. If using AI helps you stay in flow and focus on higher-level problem-solving, we consider that a strength. There could be some challenges where we won’t allow you to use AI - in that case we’ll tell you in advance, and will tell you why.

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