Published 09/14/2026

We Said It First: Grading a Decade of IMTS Predictions

An analysis of what Modern Machine Shop forecast at IMTS 2014 — and what actually arrived on the McCormick Place floor twelve years later.

Edited by: MMS Editorial Team

When the editors of Modern Machine Shop laid out their “Five Trends to Watch” ahead of IMTS 2014, they framed the exercise modestly. The show, they wrote, “is also about big ideas — trends, patterns and emerging developments,” and they had picked five that struck them as “some of the most far-reaching and significant.” It was an invitation to readers to look past the booth-by-booth product hunt and see the shape of the industry forming underneath.

Twelve years and six show cycles later, that 2014 forecast reads less like a guess and more like a roadmap. With IMTS 2026 set for September 14–19 at McCormick Place, it is worth doing something trade journalism rarely does: going back to the published record and grading the call. Because Gardner Business Media has covered every IMTS for more than two decades, the receipts are on file. Here is how the 2014 predictions have held up.

Prediction 1: Additive Manufacturing — Hit, With a Caveat

In 2014, the editors argued that additive manufacturing “pushes back the boundaries of part production” and that its use “seems all but certain to grow.” But they hedged the more dramatic claim. Additive would not displace subtractive machining, they wrote; instead, “the introduction of hybrid machines that combine subtractive and additive processes on one platform opens up possibilities that confirm the complementary nature of these technologies.” Few shops, they predicted, would abandon a traditional process as a result.

That nuanced call aged remarkably well. Additive did grow — IMTS now treats it as a full technology sector — but it grew alongside chip-making rather than in place of it, exactly as forecast. By IMTS 2026, organizers confirmed the additive sector would move next to the metal removal sector in the South Building, a physical expression of the “complementary” relationship the 2014 editors described. The prediction that additive would coexist with, not cannibalize, subtractive manufacturing is now simply how the floor is arranged.

Prediction 2: Automation — Hit, and Then Some

The 2014 piece was blunt: “It is clear that automation is essential to success in manufacturing.” But its sharper insight was about why. The editors rejected the job-killer framing, calling automation as “a much-needed multiplier” and tying its rise directly to demographics: “This value of automation is becoming increasingly apparent as demographic shifts make skilled manufacturing professionals more difficult to find.”

That single sentence anticipated the dominant story of the next decade. By IMTS 2022, Modern Machine Shop’s own show review reported that “machine shops and other manufacturers seem to have widely accepted that labor will continue to be scarce, so they came to IMTS looking for solutions to let their existing talent oversee more production.”

The labor-scarcity-drives-automation thesis the editors floated in 2014 has since become the organizing premise of the entire event. Ahead of IMTS 2026, AMT reported that fewer than 40% of job shops currently use automation, framing that gap as the central opportunity of the cycle. The prediction was not just correct; it became the industry’s consensus worldview.

Prediction 3: Data-Driven Manufacturing — Hit, Under a New Name

Here, the editors were early to a concept that had not yet found its vocabulary. “Data-driven manufacturing simply means that shops and plants will use facts and figures to make decisions,” they wrote, predicting that “Big Data will certainly become one of the most important sources of the information used to drive manufacturing.” They described streaming data from machine tools “into this data cloud” as an emerging reality.

The terminology shifted — by IMTS 2018, the same idea was being marketed as “digitalization” and the Industrial Internet of Things — but the substance arrived on schedule. The 2018 trends piece named digitalization its number-one emerging technology, describing open standards such as the MTConnect protocol that “lower the barrier for operations that want to coordinate data flow.” What 2014 called Big Data, 2018 called IIoT and 2026 calls AI-ready data, is a single continuous thread.

Prediction 4: Benchmarking for Optimization — Partial Hit

The fourth trend was the most inward-looking: the idea that shops would increasingly “compare their business metrics against industry leaders” across machining technology, shopfloor practices, business strategies and human resources. This drew directly on Gardner’s own Top Shops benchmarking survey.

This one is harder to grade. Benchmarking as a formal discipline did not become a defining IMTS storyline the way automation or additive did. But the underlying instinct — that operational data should be measured against a competitive standard — folded into the broader data-and-digitalization wave rather than standing on its own. Call it a correct observation that was absorbed by a bigger trend before it could become a headline in its own right.

Prediction 5: An Automotive Revival — Hit, With Lasting Consequences

The 2014 editors saved their most sweeping forecast for last. The auto industry, they argued, was undergoing transformation “on an entirely unprecedented scale,” driven by fuel economy mandates, new materials and new powertrains. “The fairly standardized approach to automotive manufacturing that has existed for nearly 100 years is giving way to a new model,” they wrote, “in which flexibility and choice are the norm.” Every manufacturer in the supply chain, from small bracket stampers to the largest integrated OEMs, would have to adapt.

That call proved correct. The push toward electrification, lightweighting with aluminum and advanced composites, and flexible production lines redefined what machining shops serving auto customers were asked to produce. By IMTS 2022, automotive electrification had become one of the show’s central themes, with battery enclosures, motor housings and EV structural components displacing or supplementing the engine blocks and transmission cases that had long defined the sector’s machining requirements. The specific winners and losers of that transition were impossible to predict in 2014, but the structural argument — that a century-old manufacturing paradigm was being dismantled and rebuilt around new propulsion, new materials and new flexibility — held up entirely.

What the Scorecard Reveals

Four clear hits, one near-miss absorbed into a larger trend, and a remarkable through-line on automation and labor. For an industry that often treats trade-show coverage as disposable, that is a striking record — and it points to something useful for 2026.

The pattern is instructive. The forecasts that landed hardest were the ones grounded in durable forces: demographics, the economics of capacity, the falling cost of computing. The 2014 editors did not predict specific products; they predicted pressures. Labor would stay scarce. Data would get cheaper to collect. Complexity would keep rising. Those pressures, not any single machine, are what reshaped the floor.

That lens makes the 2026 forecast easier to read. The headline addition this cycle is artificial intelligence: for the first time, IMTS will feature a dedicated AI Arena and an Industrial AI Conference, and cloud giants Amazon Web Services, Google Cloud and Microsoft are all exhibiting in the Automation Sector. Seen through the 2014 framework, AI is not a new river. It is the same data-driven-manufacturing current the editors spotted twelve years ago, now fast, cheap, and smart enough to act on its own.

If the last decade is any guide, the safe bet for IMTS 2026 is not that AI will replace the machinist. It is that AI will become the next multiplier — the same role the 2014 editors assigned to automation. We said it first. The floor, once again, is catching up.