What AI Means for Your Region and Your Organisation
AI is reshaping the labour market — but the impact will vary enormously by place, by industry and by how firms and policymakers respond. Treehouse Consultancy offers analytical tools to help local government and businesses navigate this transition with evidence, not guesswork.
The challenge
The headlines are hard to ignore: 30% of jobs at risk, 80% of workers exposed, entire occupations on the brink. But the reality is more nuanced — and more actionable — than the headlines suggest.
AI does not automate jobs uniformly. It automates tasks, and the consequences depend on which tasks, in which jobs, in which industries, in which places. The same technology will create winners and losers at the level of individual firms, reshape the occupational mix of entire regions, and open up new possibilities for organisations willing to rethink how work is structured. The question is not whether AI will change the labour market, but whether you are positioned to respond — and the window for proactive planning will not stay open indefinitely.
What we offer
For local & combined authorities
Place-based scenario analysis that maps AI displacement risk onto the actual occupational profile of your area, models where displaced workers are likely to flow, and identifies the retraining pathways that offer the best prospects for affected workers.
Grounded in our own analytical tools, including the Opportunity Escalator, and the latest economics research on AI and the labour market.
For businesses
Most firms are asking which tasks AI can automate. The bigger prize lies in how AI changes the logic of why tasks are bundled into jobs and systems the way they are.
We are developing analytical tools that represent a firm's production process as a network of interdependent tasks, then explore how AI reshapes the optimal design of work — identifying quick wins with low organisational risk alongside deeper restructuring opportunities.
The thinking behind it
This work is underpinned by a series of articles that set out our analytical framework and the evidence base. Each article is self-contained but they build on each other.
Part 1
Beyond the Headlines: How to Think About AI and Jobs
The economic framework: displacement versus reinstatement, the J-curve of adoption, creative destruction, and why the task-based exposure literature is useful but frequently misinterpreted.
Part 2
What AI Means for Your Region: A Place-Based Approach
Occupational exposure assessment, spillover modelling, and retraining pathway analysis — illustrated with a worked example from the Thames Estuary.
Part 3
Rethinking the Org Chart: How AI Changes the Way Work is Structured
A framework for thinking about AI at the level of the firm. Four channels through which AI reshapes the optimal design of work — and why the structural position of tasks matters more than their individual exposure.
Part 4
What the Data Says So Far
How AI is already showing up in vacancy data — from advertised wages and volumes in exposed occupations to the granular detail of which industries and regions are hiring for AI skills. Updated periodically.
Interested?
Whether you lead skills strategy in a combined authority or workforce planning in a business, we would welcome a conversation about how this analysis could apply to your area or organisation.
Get in touch