U.S. manufacturing executives entered 2026 facing uncertain macroeconomic conditions as they set out to drive top-line growth while protecting margins against an increasingly unpredictable backdrop of inflation, renewed tariff threats, supply chain disruption and broad economic uncertainty. The conflict with Iran, a shifting trade policy agenda and softening consumer sentiment have together raised the cost of getting strategy wrong.
The clearest strategic tension in this year’s data is the gap between planning and execution, according to a report by LEK Consulting.
“Manufacturers are far more likely to be actively executing on core, financially driven priorities than on the transformative initiatives they rate highly for the long term. Overall, the relative importance of priorities has shifted markedly since last year, even as the underlying ambitions remain familiar,” the study says.
Key takeaways:
· A combination of material costs and inflation are the single most important near-term priority in 2026, followed by profit growth and revenue growth.
· Changing interest rates and manufacturing backlogs climbed while automation, digitization and electrification fell.
· Geopolitical instability and uncertainty around trade policy have manufacturers largely taking a deliberate wait-and-see approach, with more than 50% of respondents expressing moderate to low confidence when it comes to navigating uncertain market conditions over the next six months.
· Despite the defensive near-term posture, sentiment about the future is upbeat. While roughly one-third of respondents lack confidence in navigating market conditions over the next six months, that uncertainty fades over longer horizons. In fact, confidence in achieving business objectives rises by around 20 percentage points from the near term (next six months) to the long term (next 3-plus years).
· While automation as a stated priority has slipped in the near term, the investment in artificial intelligence (AI) and digital tooling continues. The majority of survey respondents have deployed generative and agentic AI, led by use cases in quality management, supply chain planning and procurement, and predictive maintenance. Nearly 90% of manufacturers report positive return on investment to date.
