Indiana's Manufacturing Future: A Panel on Leadership, Digital Transformation, and Culture

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Overview

Recorded live in Indianapolis for Episode 229 of Manufacturing Happy Hour, this panel asked what it takes for a manufacturing region, and the companies in it, to keep thriving. Host Chris Luecke framed the answer as a combination of three things: digital capability, the right leaders, and the right involvement from the surrounding ecosystem. Three panelists, each with a different vantage point, took up that question:

18 min read
  • Kathy Miller is a returning guest. Their career began at 17 as an industrial engineering co-op student at a vehicle assembly plant and went on to leadership roles at Delphi, Parker Hannifin, Rolls-Royce, and Vertiv. They co-wrote Steel Toes and Stilettos, have a second book due later in the year, and now work as a coach, consultant, speaker, and board member. They call this stage "Kathy 2.0."
  • Null Hopkins of CliftonLarsonAllen (CLA), whom the host described as a digital transformation expert, works with manufacturing leaders on business challenges and opportunities involving technology. They said digital technology and AI are becoming "ever more critical."
  • Steve Martin calls themself a retired "private equity mercenary." They spent much of their career helping private equity firms buy manufacturing companies, which they say showed them how investors perceive value, "or sometimes incorrectly perceive value." They now work in economic development with the Indiana Economic Development Corporation (IEDC) and sit on the board of Elevate Ventures, which they described as the state's public-private investing arm for venture development.

The event was co-hosted by CLA and the Association for Advancing Automation (A3) as part of a live tour.

Why Indiana's economy rises and falls with manufacturing

Luecke opened by asking Martin what manufacturers elsewhere could learn from what Indiana does right. Martin started with a point about scale. People tend to associate manufacturing with Michigan, Ohio, or the automotive industry to the north. By Martin's account, however, Indiana probably has the most manufacturing-centric economy in the country, "by almost 10 points." Martin said that manufacturing and the economic activity tied to it account for about 48% of the state's GDP.

The conclusion Martin drew was direct: "as goes manufacturing in the state of Indiana, so goes our economy." For them, the question of how Indiana's economy can thrive comes down to how the state encourages manufacturing.

Technology is now accessible, and Indiana has a tech hub

Hopkins was asked what role digital transformation plays in that. They described the present as "a really important inflection point for technology and specifically AI." What has changed in the last few years, in their view, is accessibility. The barriers to entry have largely been removed, so any business, large or small, can now use these technologies.

Hopkins sees a particular opportunity for Indiana. The state combines the manufacturing heritage Martin described with what they called a thriving technology center in Indianapolis and across the state. Hopkins argued that putting the tech hub and the manufacturing base together positions Indiana well to thrive at this inflection point.

Leaders who bring people along

Miller was asked to name the missing piece of the puzzle. The answer was strong leadership. Miller said every company will go through some level of digital transformation, "or they're probably not going to be a company anymore." Leaders therefore have to know how to drive transformations. That means being willing to embrace new technology, and also knowing how to bring along people who have done things manually for a long time and may feel intimidated by what is coming.

Miller listed several things this requires:

  • equipping leaders to communicate effectively and to have "digital and difficult conversations" about upcoming changes;
  • having a plan to upskill the workforce;
  • explaining not just the what, but also the why and the how.

The goal, in Miller's words, is for employees to feel that they are part of the transformation, "doing it with the company," and that "the company's not doing it to them."

Luecke asked whether successful leaders share a common trait. Miller's short answer was optimism. They explained that optimism does not mean wearing rose-colored glasses. It means being able to embrace the future, see challenges as opportunities, and carry a vision through the organization. Miller added that there are "science-backed ways" to increase optimism, so leaders can be given tools to develop it.

Indiana's "front door" and "back door" problems

Luecke then asked Martin where Indiana could improve. Martin said their private equity background shapes their view, and they described Indiana as having both a front-door problem and a back-door problem.

The front door is about ideation. By Martin's account, innovation comes from people who create ideas and are then supported by the right ecosystem to turn those ideas into businesses. That requires both capital formation and talent formation.

The back door is about what happens after success. Martin said Indiana grows good private businesses and scales them to a certain size, but they then become "almost too big for the people that own them" and need institutional capital. If the state doesn't handle that transition well, Martin warned, "we lose control of some of our most important employers."

Martin's answer is to build what they call a "platform company." This is an organization structured so that it creates transferable value for an institutional owner and can also be scaled further. They described this as the challenge facing a manufacturer that has succeeded with a product-centric strategy and now needs to reach the next level. That transition, Martin said, is the point where the effect on the state's economy can be either constructive or destructive.

Start with the business problem, not the technology

Asked about the technical challenges companies face, Hopkins returned to Miller's point. With so much activity around AI, it is tempting to start with the technology and then look for ways to apply it. Hopkins said the businesses doing well are the ones that start with their business challenges, opportunities, and people, and bring those people along on "this journey of discovery." The answer may turn out to be fully or partly digital. Involving people from the start, Hopkins argued, gives the company the best chance to shape and manage the change.

Because CLA works in many states, Hopkins said the firm sees where this is done well and where it isn't. They called this approach the big differentiator today. As companies try to scale and deal with supply chain problems, material costs, and labor shortages, the key in Hopkins's view is to use technology "not to replace or displace people from the workforce, but to elevate and empower them" to do more valuable work.

Miller added a caution about intentionality, using augmented-reality glasses that display work instructions as an example. The glasses are impressive in a manufacturing demo, Miller said, but "may not be so cool to the guy who has to wear them eight hours a day." Sometimes companies have a cool technology and go looking for a problem to solve with it, instead of the other way around.

Miller then suggested a better use for the same device: training new employees during their first 30 days. Younger workers would feel they are working with cool technology. Workers of any generation would gain confidence that they can master a new environment, and they would see that the company is investing in training them and connecting them to a bigger purpose.

Is "technology for technology's sake" fading?

Luecke asked both Miller and Hopkins whether companies are becoming more deliberate about adopting technology. Miller said things are "definitely going in the right direction." According to Miller, companies have learned from a few miscues, such as deploying robots without asking why. They are now more intentional, especially around safety: they look for tasks that are repetitive, monotonous, ergonomically difficult, or hazardous, where automation would be better for people.

Hopkins pointed to a larger trend. They described the present as "the largest transfer of wealth ever," with many generational businesses changing hands. Some pass to younger family members, and others are bought by private equity or other companies. Hopkins said there is "a lot of pent up energy to adopt change and innovation" during these transitions. New leadership sees efficiency and growth potential that may have been held back for years, and Hopkins believes this is accelerating adoption and sharpening its focus.

What Florida's growth might teach Indiana

Luecke brought up a recent CLA report on Florida manufacturing. It found that manufacturing GDP there grew by roughly 66–67% over the eight years from 2014 to 2022, which Luecke called a relatively astronomical and consistent increase.

Hopkins suggested that part of Florida's advantage may be that many of its businesses are newer and look at things with fresh eyes, without as much history "to dwell on." According to Hopkins, the fastest-growing states share several traits:

  • They use a dynamic model rather than a stagnant, rigid supply chain.
  • They understand forecasting and can project future demand and changes in material prices.
  • Their workforce is there by choice and is empowered by technology.

Hopkins stressed the last point. These companies aren't recruiting top graduates to enter numbers into spreadsheets or inspect parts by eye. They give them more interesting and valuable decisions to make. Hopkins described a snowball effect: technology underpins the business, which attracts the best talent, which drives innovation, which fuels further growth. Indiana, they said, can learn from states like Florida.

People, optimism, and relationships

Asked what lessons other manufacturers could adopt, Miller named three.

First, whatever the technology, "manufacturing is about people." Companies must help employees see meaning in their work and a connection to a bigger purpose beyond their role.

Second, optimism: treating setbacks as challenges to overcome, which can even spark innovation.

Third, relationships. Miller noted that the four people on stage "don't know everything there is to know about manufacturing." They encouraged listeners to get to know others in the industry, saying that people are very generous "unless they're a direct competitor" and want everyone to succeed. Relationships where each side can help the other, Miller said, speed up everyone's progress.

Private equity's systematic thinking, without its impersonality

Martin chose to look past geographic borders and draw on private equity. While joking that private equity people are "worthy of making fun of," Martin said they think very systematically about markets. Any technology or innovation initiative, in Martin's view, should be examined in those terms: how large is the market you're pursuing, how can technology help you scale, and how can changes in your cost structure become a competitive advantage?

Martin reduces strategic planning to two questions. First, what is the total addressable market for your capabilities? Second, what is your core competency, or in their words, "know thyself"? Private equity thinks in terms of capturing market share. When Martin works with a private owner, they ask what the business is truly great at and how new technology can help optimize around that. Martin summarized this as looking both inside and outside the company.

Martin said they have a "love-hate relationship" with private equity: it taught them a lot, but it is very impersonal, while Martin values personal relationships in running a business. They quoted It's a Wonderful Life, paraphrasing George Bailey's line that the people running the machines "do most of the living and dying around here," and added that those people are also "where most of the good ideas come from, too."

Two uses of AI: automation and captured knowledge

Luecke asked Hopkins for a story showing how digital technology differentiates manufacturers. Hopkins described two main ways they see it being used.

The first is automation. Many tasks in the back office and on the shop floor are necessary but not high-value. Hopkins said these tasks are increasingly practical to automate with AI. Removing mundane, repetitive work frees people for more valuable and, ideally, more rewarding roles.

The second is knowledge. Many companies depend on individuals who have built up deep expertise over 20, 30, or 40 years. Those people will eventually leave, and Hopkins said companies are realizing this creates a business-continuity risk. It is also already a problem today, because the business can't scale while that knowledge sits with a few people. Hopkins sees a strong use for large language models here: large amounts of company information can be gathered in one place and queried through an interface similar to ChatGPT.

Hopkins, a former engineer who said they "just wasn't a very good one, so I went into digital instead," joked that engineers love data because they like being the smartest people in the room, and "without data, we're just guessing." They said engineering and manufacturing companies hold enormous amounts of data. The problem has always been getting value out of it, because the data is usually siloed, unstructured, and spread across paper and electronic documents. According to Hopkins, LLMs can now read and sort that material, greatly expanding what companies can get from it.

Luecke tied this to the most common theme on the show, the skills gap and the retiring workforce. He said so many guests bring it up that he now asks them for a new angle on it. He saw this use of AI as a concrete answer that also fits the panel's earlier theme: don't adopt technology for its own sake, but use it to capture the tribal knowledge "that's about to walk out your door."

The three Ps of scale

Returning to scale and transferability, Martin offered a framework of three Ps:

  • People. This is mainly about skills. Martin said businesses evolve in stages that are essentially about span of control, and the challenge is building leadership that can take technical talent and scale it across the whole organization.
  • Planning. This means creating a strategy that takes advantage of the company's skill sets.
  • Process. Martin calls this "method." It means integrating technology, systematizing processes, and aligning physical assets so that the data systems generate can inform strategy.

For Martin, scale "is all about doing more with less." The only way to achieve it is through talent, a clear strategic vision, and processes that can be repeated across the organization.

Vision, adaptability, and teaching people skills

Miller described the leadership needed to achieve that scale. It starts with vision, because it "doesn't happen by accident," and then requires people who can execute on that vision. Leaders also need flexibility and the ability to pivot, since change is accelerating at unprecedented rates.

Miller emphasized that growth can't come at the expense of basic human needs. People want meaning, want to be part of something larger than themselves, want to feel good about what they contribute each day, and want community. Miller also noted that the best technologist is not necessarily the best people leader. Leadership skills can be taught, though, and Miller argued that upskilling should include people skills alongside technical ones, or companies will "fall short of the visions we want to enjoy."

Does new technology give work more meaning?

Luecke asked Hopkins whether AI and LLMs are helping people find more meaning in their work. Hopkins didn't answer directly. Instead, they drew on experience working both inside and alongside many of the state's largest manufacturers and engineering firms. The common thread they saw was a willingness to move quickly and occasionally make mistakes, since "this is not like a well-charted path."

That is why the cultural factors Miller described matter, Hopkins said. Companies will have to accept discomfort and processes that change often, and engineers in particular must get used to making mistakes along the way. Hopkins's view was that "the most dangerous thing manufacturers could do right now is pause or wait or be overly cautious and risk falling way, way behind." They said they hope CLA's clients, the people in the room, and Indiana manufacturers more broadly will lean into the opportunity.

Closing: psychological safety and "playing well with others"

When Luecke asked what he should have asked, Miller joked that they were shocked no one had brought up the impact of psychological safety on innovation. Miller said it is a chapter in their upcoming book. Building on Hopkins's point about mistakes, Miller noted that making mistakes is especially hard for high achievers and for technical people who rely on precision. It is therefore important culturally that people not fear the consequences of mistakes or of trying new things, and that mistakes become learning opportunities, "not punitive circumstances."

Martin gave the final answer, drawing on being raised by a kindergarten teacher: "it's all about please and thank you." In Martin's view, that upbringing holds a real lesson about playing well with others, which they said most unhealthy corporate cultures fail to do. Martin urged leaders to give people room to make mistakes, to show them grace, to let them think outside the box, and not to judge before understanding where they are coming from. Martin concluded that a culture which penalizes thinking outside the organization's usual doctrine limits innovation, and that such a company is "never going to get any new ideas."