The Institute’s key research themes are led by ten academic partners spread across the UK.

Our nine Productivity Forums are spread across the UK acting as regional ambassadors for the importance of productivity. The Investment in Productive Places campaign helps places understand how their resources can be used more effectively.

Businesses are crucial to solving the UK’s productivity problems.

Working closely with policymakers.

Read and listen to our up-to-the-minute productivity output.

We’re a UK-wide research organisation exploring what productivity means for business

Academic and Policy Conference 2026

Academic Conference 2026

Productive futures: new questions for a changing economy

The Productivity Institute’s Academic Conference brought together researchers and experts to examine some of the most important questions shaping the UK’s productivity future. Under the theme ‘Productive Futures: new questions for a changing economy’, the day showcased the latest research from across the UK, with discussions spanning trade, place, workforce skills, innovation, investment and artificial intelligence.

The conference was opened by Jun Du, Managing Director of The Productivity Institute, followed by a keynote address from François Lafond on technological progress, technology diffusion and productivity. His presentation explored how changes in the cost and adoption of technologies can help us understand and forecast their wider effects on productivity.

View François slides

Delegates then moved into six breakout sessions covering trade, services and productivity; place; workforce skills; innovation and growth; investment; and AI and the economy. Here we outline some of the key messages from the six sessions held, and questions for future research.


Trade, services and productivity

This session positioned trade as central to the productivity debate, not as a separate sectoral issue but as a key channel through which firms access scale, competition, inputs, knowledge, customers and innovation opportunities.

The opening remarks highlighted that the UK’s long-standing productivity challenge predates Brexit, but that Brexit and the Trade and Cooperation Agreement (TCA) provide an important setting for observing how firms respond to new trade frictions.

Across the three papers presented, a consistent theme emerged: aggregate trade effects mask substantial variation beneath the surface, with outcomes depending on firm size, supply-chain depth, product characteristics, exposure to services, and financial resilience.

Areas for further research:

  • Examine how UK firms are now positioned within global value chains.
  • Identify which trade relationships are resilient because they are genuinely productive, rather than simply costly to exit.
  • Explore how goods–services bundles shape firms’ adjustment to trade shocks.
  • Understand the interaction between uncertainty, investment, financial constraints and firm-level resilience.

Place

This session explored the geography of productivity, examining what place-based industrial strategy can realistically achieve and what conditions are needed for local economies to thrive.

It positioned regional productivity as the outcome of several interacting systems including the health and skills of workers, the geography of labour markets, public investment in digital innovation, and the movement of people and knowledge across places.

A consistent theme was that productivity cannot be understood solely within fixed administrative boundaries. Commuting flows, labour mobility, inter-regional connectivity and innovation clusters all shape how benefits and constraints travel across places.

Areas for further research:

  • Explore how functional labour markets differ by rurality, urban density, commuting intensity and health-service accessibility.
  • Test whether health-productivity relationships are stronger at smaller geographies than local authority district level.
  • Examine regional differences in the relationship between public digital R&D funding, advanced skills demand and patenting.
  • Investigate how labour mobility across sectors, firms and regions affects structural change and knowledge diffusion.
  • Assess whether regions experiencing development traps are losing productive specialisms, failing to gain new ones, or both.
  • Use citation networks, commercialisation outcomes and case studies to understand how innovation clusters translate into productivity gains.
  • Consider how non-patented innovation, open-source activity and tacit know-how can be captured alongside patent-based measures.

Workforce skills

From AI adoption to an ageing workforce, the demand for skills is changing fast. This session examined what firms need, where the current system is falling short, and how policy can better support workers and employers through the transition.

The session connected productivity growth to the movement and development of people, skills and knowledge. The presentations showed that productivity gains may come from improving the proficiency of existing workers, widening access to specialised talent, and enabling knowledge to travel across occupational, organisational and national boundaries.

At the same time, the discussion stressed that these gains are not automatic. A consistent message was that policy needs to consider both aggregate productivity gains and how benefits, costs and decision-making power are distributed.

Areas for further research:

  • Track how AI affects productivity, job quality, control and professional status across whole collaborative teams and buyer-supplier relationships.
  • Measure whether employment and value are transferred between creative firms and AI specialist firms, and assess the net effect across industries.
  • Examine the consequences of English-language provision for students, local labour markets, language use and the retention of international graduates.
  • Assess the quality as well as the quantity of AI patents, including citation-weighted measures and alternative innovation indicators.
  • Explore how the relationship between skilled migration and AI innovation varies across sectors, regions, visa routes and occupational groups.

Innovation and Growth

This session explored the role of innovation, public support, collaboration and transport connectivity in shaping productivity and growth. It considered why innovation activity matters for firm performance, how repeated innovation grants affect firms beyond the first award, and whether transport reliability influences the success of collaborative research projects.

It positioned innovation as a central driver of productivity and growth, while also highlighting a puzzle in the UK evidence base. Although the UK performs strongly in international innovation rankings and provides substantial public support for R&D and innovation, the proportion of innovation-active firms appears to have fallen across many sectors since the mid-2010s.

The opening discussion stressed that innovation support matters, but that the design, targeting and sequencing of that support are critical.

Areas for further research:

  • Examine whether repeat innovation grants support genuinely cumulative projects or separate, unrelated activities.
  • Assess whether grant value, not only grant number, changes the estimated impact of repeated support.
  • Explore the role of professional grant writers and repeat application capability in shaping access to funding.
  • Investigate whether firms seeking repeat grants are financially constrained, growth-oriented or experiencing distress.
  • Test whether transport connectivity effects changed after the wider adoption of hybrid working technologies.

Investment

Can domestic and foreign investment, guided by the Industrial Strategy and regional growth strategies, deliver the productivity gains the UK needs? This session examined the evidence and explored what more effective investment policy might look like.

A central theme was that the productivity effects of investment depend not only on the amount invested, but also on the timing and allocation of resources, the characteristics of firms and places, and the policy institutions that connect investment with skills, business support and infrastructure.

The discussion highlighted the complexity of coordinating inward investment, skills, business support and transport across institutions and geographical levels. Devolved administrations may be better positioned to align these functions within a single jurisdiction, while England faces a more fragmented policy landscape.

Areas for further research:

  • Identify the organisational and managerial factors that lead firms to adjust investment too little or to overshoot the optimal range.
  • Test whether the adjustment-performance relationship differs by firm size, sector, ownership, time horizon and competitive environment.
  • Examine whether weighting firms by employment, turnover or assets changes the observed distribution around the estimated turning point.
  • Assess whether multinational experience has different effects across high-technology and other start-up sectors.
  • Distinguish the effects of domestic and foreign multinationals and examine how acquisitions, closures and other shocks affect the supply of experienced managers.
  • Investigate whether former multinational managers cause stronger start-up growth or are particularly effective at selecting ventures that would have grown anyway.

AI and the economy

This session examined how rapidly artificial intelligence is spreading across firms, why adoption remains uneven, and how boards, management practices, organisational design and firm resources shape whether AI supports efficiency, productivity and more exploratory innovation.

It brought together international survey evidence and three firm-level studies to explore both the pace and the character of AI adoption. The opening evidence showed that reported use is already widespread and rising quickly, but that realised employment and productivity effects remain modest compared with firms’ expectations for the next few years.

The central message was that AI is not a stand-alone technology: its value depends on complementary capabilities in governance, management, data, skills and organisational coordination. Adoption is also highly uneven, with larger, more productive and better-resourced firms generally better placed to invest, experiment and capture returns.

Areas for further research:

  • Track whether firms’ expected productivity and employment effects materialise as adoption deepens.
  • Distinguish formal organisational adoption from informal and employee-led use of generative AI.
  • Identify the specific board, management and data capabilities needed to move from experimentation to effective deployment.
  • Examine how executive and non-executive directors shape technology investment, governance and independent oversight.
  • Test whether generative AI changes the apparent bias towards efficiency and familiar areas of innovation.
  • Assess whether access to data, skills and finance causes AI to concentrate productivity and innovation gains among larger firms.
  • Develop policy approaches that help SMEs build complementary organisational and technical capabilities.

Looking ahead

Across the six sessions, a clear message emerged: improving productivity will require a better understanding of how firms, workers, technologies and places respond to change. The discussions highlighted both the depth of research already under way and the important questions that remain. By bringing together different perspectives and areas of expertise, the conference provided an opportunity to share emerging evidence, challenge assumptions and help shape the next phase of productivity research.

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

For more information see our Privacy Policy