Most businesses are investing in AI tools. Very few are investing in the people who will actually use them.

You’ve approved the subscriptions. Your team has access to Copilot, ChatGPT, or whichever AI suite your IT team recommended. Leadership ticked the box.

So why aren’t you seeing the productivity gains you expected?

The answer is rarely the technology. It’s the job design.

The Uncomfortable Truth

Most organisations are bolting AI tools onto roles that were designed for a completely different way of working. The tasks are the same. The accountabilities are the same. The measures of performance haven’t changed.

Only the tools have arrived – and nobody redefined the job around them.

Buying AI tools without redesigning roles is like installing a Formula 1 engine in a car built for the school run.

The Data Backs This Up:

📊 94% of CEOs and CHROs identify AI as their top in-demand skill for 2025 – yet only 35% have prepared their employees effectively for AI roles. (IDC)

📊 AI-exposed roles are evolving 66% faster than other positions. (PwC, 2025 Global AI Jobs Barometer)

📊 Skills shortages may cost the global economy up to $5.5 trillion by 2026. (IDC)

The Problem With Traditional Position Descriptions

A position description written in 2022 has no mention of AI augmentation. It doesn’t account for the fact that a skilled employee now has access to tools that can research, draft, analyse, and synthesise in minutes what used to take days.

It doesn’t define how AI outputs should be verified. How prompts should be constructed. What human judgment still needs to be applied – and when.

In short: it doesn’t reflect the actual job anymore.

The consequence? People revert to old habits. AI sits underutilised. The investment goes nowhere.

AI Capability is not a Tech-team Issue

There’s a persistent misconception that AI capability applies only to technical roles.

It doesn’t.

AI capability, in a practical workforce sense, means:

✅ Knowing which tasks to delegate to AI and which require human judgment ✅ Constructing prompts that produce useful, accurate outputs ✅ Critically evaluating and validating what AI generates before acting on it ✅ Using AI to enhance decision-making – not replace it ✅ Understanding the ethical and privacy boundaries of AI in your role

This is relevant to your Finance Manager reviewing AI-generated variance reports. Your HR Manager drafting onboarding content. Your GM stress-testing strategic options. Your customer service team resolving queries faster.

AI literacy is becoming what computer literacy was in the 1990s. The difference is this time it’s happening in months, not years.

What the Solution Looks Like

At wattsnext Group, we’ve long argued that traditional position descriptions are the wrong tool for building a high-performance team.

Our Outcome Profiles approach focuses on what a person needs to deliver – not just what they need to do.

That means defining: → The business outcomes the role is accountable for → The capabilities required to achieve those outcomes → The decision-making authority of the role → The KPIs that tell both person and business whether it’s working

In an AI-enabled environment, this framework becomes even more powerful – because AI capability can be embedded directly into how the role is defined, not added as an afterthought.

A senior Finance Manager role today shouldn’t just say “prepares management reports.” It should specify that AI tools are used to accelerate analysis and model scenarios – while the role owner is accountable for the interpretation, the recommendation, and the decision.

The outcome is still human. The capability required to reach it has changed.

The Risk of Doing Nothing

Organisations that leave their job design untouched face a compounding problem:

❌ They underutilise their AI investment ❌ They accumulate capability gaps that don’t show on any skills matrix ❌ They recruit for a role that no longer matches how work actually gets done

And the competitive cost is real. PwC found that roles with embedded AI skills now command an average 56% wage premium. The market has already priced in the value of AI capability.

Your job profiles need to catch up.

The Question Worth Asking Today

Pull out three Job Descriptions from your business. Ask this about each one:

Does this document reflect how this person actually works – including the AI tools they’re expected to use?

If the answer is no, you have a job design problem. And that problem is quietly eroding the return on every AI investment you’ve made.

At wattsnext, we partner with CEOs, founders, and HR leaders to redesign roles through our Outcome Profiles and strategic advice – building role frameworks that reflect how work actually happens, and how it needs to happen next.

If your job design hasn’t kept pace with your AI investment, let’s fix that, wattsnext Group can happily assist.