"Flat Is the New Up": AI Is Replacing Jobs, and Here Is What Employers Should Do About It

What Sunak Actually Said

On 22 April 2026, Rishi Sunak appeared on BBC Newsnight with Faisal Islam and delivered a stark warning about AI's impact on employment. He reported that senior executives are privately describing the phenomenon as "flat is the new up": their companies are growing revenue and profits without growing headcount, thanks to AI automation.

Sunak identified three sectors already seeing this dynamic play out: law, accountancy, and creative industries. All three are cutting junior intake as AI handles work that previously went to graduates entering these fields. The pattern is clear and quantifiable: AI is not just changing work, it is eliminating entire entry points for young people.

But Sunak did not stop at diagnosis. He proposed a two-part solution. First, scrap National Insurance over time and replace it with taxes on corporate profits that have been boosted by AI-driven productivity. Second, and crucially, he said that government should focus on employment impact "more than anything else" and that "we are able to do something about this".

His message was clear: the problem is real, but it is not unsolvable. The question is whether employers will act.

Source: Personnel Today, 22 April 2026

The Data Behind the Warning

Sunak's anecdotes are not isolated observations. The data is damning and multi-sourced:

The AI adoption gap. A Financial Times and Focaldata poll of 4,000 workers found that 60% of highest-paid workers use AI daily in their jobs, while only 16% of lowest-paid workers do. This is not just a skills gap. It is a productivity gap that is widening weekly. Workers at the top are AI-augmented. Workers at the bottom are not.

The capability deficit. AWS research shows that only 24% of UK organisations have moved AI beyond basic use cases. The majority are still in pilot mode or basic chatbot territory. But here is the problem: 49% of those same organisations cite skills shortage as the main blocker to scaling up. They want to move faster. They cannot, because they do not have people who understand how to deploy AI meaningfully.

What this means. The companies at the top (60% AI daily) are pulling further ahead. The companies at the bottom (16% AI daily) are falling further behind. And the only thing keeping the middle from accelerating is the availability of trained people who know how to implement AI.

Why This Matters for Every Employer

You might think this is a problem for tech companies and banks. It is not. The gap between AI-fluent teams and AI-illiterate teams is becoming the single largest competitive advantage in the modern economy.

Companies that upskill their senior leaders and frontline teams in AI strategy, automation, and data confidence now will:

• Attract and retain the best talent, because their people want to work somewhere that invests in their AI capabilities
• Make better strategic decisions about where AI genuinely helps and where it does not
• Deploy AI faster and more effectively than competitors who are still figuring it out
• Avoid the trap of "flat is the new up", where you grow revenue without growing people or investment, until you hit a ceiling

Companies that do not upskill now will find themselves in the opposite position. They will have people who cannot keep up with the pace of change, cannot operate alongside AI tools, and will not want to stay because the company is not investing in them. That is not a recipe for productivity. That is a recipe for churn.

Sunak is right that there is something to worry about. But he is also right that there is something we can do about it. The question is whether you will act before or after your best people leave.

What Employers Can Actually Do

This is where theory becomes practice. There are three concrete actions you can take right now:

1. Upskill Your Senior Leaders in AI Strategy and Governance

Leaders who do not understand AI cannot make good decisions about where it helps and where it hurts. They cannot guide their teams. They cannot allocate budget wisely. They cannot spot the ethical and operational risks.

That is why we launched the three new AI Leadership units (AI Strategy, AI Governance, and AI Transformation) on 28 April 2026, the same week as Sunak's comments. These are Level 5 qualifications, specifically designed for senior leaders and managers. They run alongside your business, take 12 to 18 months, and are 100% funded for SMEs through the Growth and Skills Levy.

A leader who completes one or more of these units will understand how to embed AI governance into your organisation, how to assess where AI creates genuine value, how to build AI-ready teams, and how to communicate both the opportunities and the risks to your board.

Learn more about the AI Leadership unit

2. Build Hands-On AI Capability in Your Teams

Strategy is nothing without execution. Your frontline teams need practical skills: how to prompt AI tools effectively, how to build automation workflows, how to audit AI outputs for quality and bias, how to integrate AI into their day-to-day work.

The AI and Automation Practitioner Level 4 apprenticeship does exactly this. It is 15 to 18 months, delivers up to 5 qualifications, and covers hands-on automation, AI tooling, prompt engineering, and workflow design. Your people will come out able to implement AI in their role immediately, not just aware of it in theory.

For SMEs, this is fully funded. You pay nothing. You just need to give your staff time to learn.

Explore the AI and Automation Practitioner apprenticeship

3. Give Frontline Managers Data Confidence

Managers sit between strategy and execution. They need to understand how to work with data, how to interpret AI outputs, how to manage AI-augmented teams, and how to spot when an AI recommendation needs human challenge.

The Data-Driven Team Leader Level 3 apprenticeship builds this foundation. It is 13 months, delivers 3 qualifications, and teaches the analytical skills your managers need to work confidently with AI outputs, dashboards, and automation. It is also 100% funded for SMEs.

See the Data-Driven Team Leader programme

The Growth and Skills Levy: Already Funding the Solution

Here is the thing that most employers do not realise: the funding mechanism to do all of this already exists. It is called the Growth and Skills Levy.

For SMEs (payroll under £3 million): AI apprenticeship training is 100% government-funded. You pay nothing. You only release your staff to study, and you benefit from their upgraded skills.

For Levy payers (payroll over £3 million): You likely pay the Levy already. You have funds sitting in your digital account. Use them. Why spend your budget on off-the-shelf workshops when you can fund real, long-term apprenticeships that end in qualifications and genuine capability uplift?