Johnny Eaker

They leave because nothing prepared them for the noise, pace, physical demands and culture of a plant floor.

• The reality does not match what they pictured when they applied.
• The fix is to put the person in a headset and walk them through their actual workstation before day one: a smaller expectation gap helps people stay.
• Eaker does not dismiss AI and digital twins; the argument is about what to fix first when people are leaving in week one.

A post that opens with the questions manufacturers keep asking about AI and digital twins lays out the sequence plainly: someone applied to a job description, sat through an orientation, showed up and found a reality unlike anything they had imagined. Johnny Eaker contrasts that with a headset walkthrough of the actual workstation before day one, where a new hire sees the equipment, hears the environment and understands what the job physically feels like.

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Manufacturers lose people not only to other manufacturers but also to tech companies, remote desk jobs and startups. Letting a candidate experience the facility, culture and work environment through a headset before applying signals how the company thinks—a recruiting tool, not training.

Johnny Eaker describes a 24-year-old weighing a production role against a software support job.

• They are not comparing benefits packages or stability, Eaker says, but asking which option feels like the future.
• The post closes with this point: most plants have high-tech work behind a front door that shows none of it.

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HR and training managers must deal with this reality; it is not a character flaw.

• The response Eaker keeps seeing is more content: longer orientations, more slides and more video modules in a learning system nobody wants to log back into.
• Retention numbers do not move.
• The alternative is immersive, hands-on training that can be repeated without pulling supervisors off the floor, with the learner inside the experience instead of watching it.

Johnny Eaker points to students and staff in headsets at a virtual job site. That level of focus, they argue, is not available from a PowerPoint or handbook: in VR, someone can practice safety in a space where mistakes carry no real-world consequences.

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Putting a recruiter or student inside a virtual version of the workplace lets students test their aptitude and interest before signing an offer letter.

• It also standardizes the pitch, so every recruiter tells the same story.
• Eaker treats the branded equipment as a signal that a school is leading rather than following a trend.

Johnny Eaker describes standing in a room at Ranken Technical College as recruiters, directors and staff put on headsets. A student in a pink Build My Future shirt stands in the middle of a virtual job site rather than looking at a screen.

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The first answer is generational: the next wave of workers grew up with video games and immersive media, so the headset feels familiar, while the slideshow or half-watched video feels dated. Eaker then looks beyond age: everyone has sat through a safety lecture they did not retain and had to work it out when the moment came.

Johnny Eaker sums up the mechanism this way: VR puts you in the scenario before it happens. The approach applies to a 22-year-old and to a veteran operator who never absorbed the classroom version.

The generational question opens this post, but Johnny Eaker ends by calling the generational argument real while saying it understates the larger point: training that works for everyone.

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The figure includes recruiting fees, onboarding hours, manager bandwidth, learning-curve mistakes and missed productivity—costs that add up fastest in the trades.

• Eaker offers a practical next step: a free calculator built by BeThere Immersive that returns a company-specific figure in under two minutes, linked in the first comment.
• Without a measured cost, a plant has little urgency to change anything.

Built around a calculator rather than a case study, this short post lays out how Johnny Eaker starts the budget conversation: establish the existing cost of turnover, then talk about a pilot.

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The post opens with the questions manufacturers keep asking about AI and digital twins, then sets them aside.

• Johnny Eaker says they are watching companies buy sophisticated technology while new hires quit before the end of the first week—not because the technology is wrong, but because the person "had no idea what they were actually walking into."
• The sequence is specific: apply to a job description, sit through an orientation, show up, and encounter the noise, pace, physical demands, and plant-floor culture.
• The proposed fix is a headset walkthrough of the real workstation before day one, on the reasoning that shrinking the gap between expectation and reality helps people stay.

For brands planning a campaign

For a pilot aimed at first-week turnover, this post defines the mechanism and measurable target: the expectation gap, not training volume. A pre-hire virtual walkthrough of the actual workstation, with day-one-to-week-four retention compared against a control group, tests the claim made here.

Johnny Eaker argues that most companies cannot put a number on 90-day turnover, then itemizes the costs: recruiting fees, onboarding hours, manager bandwidth, learning-curve mistakes, and lost productivity.

• The figure grows quickly in the trades.
• The post points to a free calculator built by BeThere Immersive that returns a company-specific number in under two minutes, with the link in the first comment.

For brands planning a campaign

Establish a baseline cost of turnover before proposing spend. The tool can also open a conversation with a plant that has no measured figure—and no urgency.

The post argues that manufacturers are maintaining their own image problem: the "grease and grit" picture of plant work that candidates still carry.

• A 24-year-old weighing a production role against a software support job, Johnny Eaker notes, is not comparing benefits packages but asking which option feels like the future.
• Plants already run robotics, automation, and real-time data systems, yet the front door shows none of it.
• Here, VR signals how the company thinks: a candidate who experiences the facility and culture through a headset before applying learns something about the company.

For brands planning a campaign

Broadens the case for a VR program from retention to candidate attraction. A training company selling VR onboarding can use this framing when the buyer's stated problem is applicant volume rather than first-week quits.

Johnny Eaker restates the question manufacturing leaders ask—whether VR will resonate or is a gimmick—and argues that the next wave of workers grew up with video games and immersive media.

• The headset feels familiar; a slideshow, PDF, or half-watched video feels dated.
• The post then broadens the claim beyond age: on the floor, they say, it is not only younger workers who respond, but anyone who has sat through a safety lecture they did not retain and had to work it out later anyway.
• The closing line ties this to Missouri manufacturers competing for talent.

For brands planning a campaign

Useful for handling objections from a buyer facing internal resistance. It also suggests a pilot audience beyond new Gen Z hires: experienced workers who need safety scenarios they will actually remember.

The post describes a workforce with shorter attention spans, higher expectations for relevance, and less patience for the gap between classroom and floor—a reality HR and training managers navigate, not a character flaw.

• The response Johnny Eaker keeps seeing is more content: longer orientations, more slides, and more video modules in an LMS nobody wants to log back into, while retention numbers stay flat.
• In Missouri operations, they say, immersive, hands-on training is working: it can be repeated without pulling supervisors off the floor, with the learner inside the experience instead of watching from a chair.

For brands planning a campaign

Adds a second metric to a pilot: supervisor hours not spent re-running training. It also challenges the buyer's default instinct to buy more content rather than change the format.

Johnny Eaker describes standing in a room at Ranken Technical College while recruiters, directors, and staff put on headsets.

• The post argues that recruiting for a job someone cannot visualize is hard, and that letting a recruiter show a high-tech manufacturing floor from the admissions office standardizes the pitch and removes guesswork.
• It frames workforce development as an enrollment and placement grind for the Ranken team, not a slogan, and treats the branded equipment as a statement that the school is leading rather than following.

For brands planning a campaign

Points to trade schools and community colleges as a second buyer type, with a different brief: enrollment conversion and placement, not plant retention. For a training company, this is a channel-partner conversation rather than a direct employer sale.

They call this a preview problem, not an AI problem. The method they describe is for a new hire to put on a headset and walk through the actual workstation before day one, seeing the equipment, hearing the environment and understanding the physical demands.

For brands planning a campaign

A manufacturing training company could pilot pre-start VR workstation previews for roles with high early turnover, then compare first-week and 90-day retention against the current onboarding process.

Examples: Source 1

They position VR facility tours before an application as a signal that the company thinks differently and a way to show the actual work environment.

For brands planning a campaign

Use VR tours in employer-branding and recruiting campaigns, not only training, and measure candidate applications or interview conversion from career pages and events.

Examples: Source 1

They say that matters for experienced workers who did not retain passive safety lectures and then had to figure it out on the floor.

Scenario-based immersive training that replaces passive formats for both new and experienced workers.

Eaker says the generational argument is real but undersells the larger training problem.

For brands planning a campaign

Position VR training as a cross-tenure safety and skills tool. A pilot could run with mixed-age crews and compare engagement and retention against slides and video.

Examples: Source 1

For recruiters, VR can let a student test aptitude and interest before signing an offer letter and standardize the pitch for a career in the trades. They also describe a student in a Build My Future shirt standing in a virtual job site as an example of hands-on learning.

Campus headset demonstrations and recruiter-led virtual facility tours.

For brands planning a campaign

Sell VR to trade schools and industrial partners as a recruiting and enrollment tool, with campus headset demos and recruiter enablement. Measure student interest, applications and placement conversations.

Examples: Source 1 · Source 2

They contrast that with PowerPoints and handbooks and tie it to Missouri operations and training that can be repeated without pulling supervisors off the floor.

Repeatable VR safety drills that allow mistakes without real-world risk.

For brands planning a campaign

Build safety-training pilots around scenario practice and safe failure, then measure recall or behavior change rather than course completion.

Examples: Source 1 · Source 2

They argue that most companies underestimate what early turnover costs, including recruiting fees, onboarding hours, manager bandwidth, learning-curve mistakes and missed productivity.

For brands planning a campaign

A calculator or diagnostic can qualify leads and move a conversation from general interest to a funded pilot by putting a company's own early-turnover cost in front of decision-makers.

Examples: Source 1

They do not dismiss the broader technology conversation; instead, they prioritize an honest look at what a new hire is signing up for, which they say VR delivers better than other tools they have found.

Eaker says AI and digital twins have real substance in some contexts, making this an argument about sequencing and plant-floor priorities rather than rejecting the technology outright.

For brands planning a campaign

Lead with retention and onboarding outcomes. Avoid making AI or digital-twin capability the main promise unless it is tied to a worker-facing result, such as staying past week one.

Examples: Source 1

The company's VR headsets and gear also appear in their accounts of training and recruiting events, and the #BeThere hashtag runs across most of their posts. Ask Eaker to clarify their title and role on the team.

Original disclosure

Our team at BeThere Immersive built a free calculator so you can see your real number in under 2 minutes.

View example

They frame the headsets as a tool that standardizes how a career in the trades is pitched to students. Ranken also comes up as a recruiter example when Eaker makes the case for letting students experience a plant floor before they commit.

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Both writers treat the disconnect between students and real careers as a systems problem, not a messaging problem, and appear at workforce convenings where educators and manufacturers share a room.

Jackson's angle is discovery and pathway-building at state and regional scale, through board work and summit conversations about employer-led talent development, with technology as one input. Eaker's is narrower and more operational: immersive tools at specific moments—a candidate tour, a first-day preview, a safety drill—with plant-floor outcomes as the measure.

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They argue that the deployment and management layer, not the hardware, determines whether the technology reaches workers. Both writers ground their claims in a specific worker doing a specific task that is hard to describe on paper.

Marble follows the device and enterprise-deployment questions: form factor, remote assistance, device management, and which category of hardware reaches the job itself. Eaker follows the training and hiring outcomes, arguing that managers should measure early turnover first and treat technology as a way to shrink the gap between what a worker expects and what the job is.

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That aligns with Eaker's readiness question: what happens when a plant buys technology before it can explain what a new hire is walking into?

Smith's work focuses on economic development and program design in East Texas: internships, registered apprenticeships, grants, and bringing schools and manufacturers together through an organization. Eaker takes the training-product view of the same problem, focusing on onboarding, recruiting, and safety scenarios rather than apprenticeships or regional program building.

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Marble writes about the on-task moment: a technician under a truck, both hands busy, with a subject matter expert live in their ear, and the same worker later switching device views at the workbench while an expert watches for errors.

• The post describing ArborXR as the first mobile device management platform to support wearables, running multi-device and multi-view in a controlled environment, is the detail an IT team asks for when it has to approve a fleet rather than a single headset.
• If the buyer already accepts the expectation-mismatch argument and the blocker is device governance, remote assistance, or going past one demo unit, Marble is the more useful practitioner.

Marble's posts focus on the job as it happens and the devices that support it, not pre-hire previews or first-week retention.

• They don't address turnover math, hiring-funnel framing, or an onboarding sequence; the nearest example is a new hire learning with a veteran's voice in their ear.
• They also write for enterprise IT and XR buyers, so a training or HR sponsor would be reading a case aimed at a different desk.
• Choosing Marble means buying device-management and on-task guidance expertise and sourcing the retention argument, preview design, and HR measurement elsewhere.

Examples: Source 1 · Source 2

Jackson's posts sit inside Indiana workforce work: serving on the TechIndiana board, backing INCAP and the Build the Pipeline Summit, and describing at iXplore how early career exposure helps students connect learning to opportunity.

• Another post frames the problem as students being asked to choose a pathway before they understand the careers attached to it, and argues for regionally connected ecosystems that join immersive career discovery, local industry demand, and hands-on CTE equipment.
• For a multi-employer or state-level program, or a plant whose pipeline starts in middle and high school, that mandate fits better than a single-site onboarding trial.

Jackson's posts focus on convening, board involvement, and ecosystem design, not an immersive training build, a plant-floor preview, or turnover measurement.

• They name collaborators and initiatives rather than handing a plant a program it can run next quarter.
• A buyer wanting one role piloted and measured would need to turn the statewide language into a local project and supply the measurement design.
• The scale is another consideration: a manufacturing training company hiring for hands-on onboarding work is buying a different skill set than regional talent-pipeline strategy.

Examples: Source 1 · Source 2

Writing from LEDCO in East Texas, Smith argues that before asking whether students are ready for work, employers should ask whether their workplaces are ready to develop students.

• They point to a June 2026 survey of about 30 manufacturing employers where supervisor capacity and scheduling created greater barriers than wages or equipment.
• If a plant keeps losing interns and new hires because mentors have no time and production schedules won't flex around school hours, that diagnosis is the right place to start.
• Smith's other post covers the surrounding machinery of registered apprenticeships, workforce grants, and work-based learning across school districts, colleges, and employers.

Smith's posts don't cover an immersive or VR component.

• If headset previews are central to the campaign, ask for a creator with that experience.
• Smith treats the employer survey as practical insight rather than proof that the same conditions hold everywhere, so validate the finding locally before using it as a benchmark in a campaign.
• Their focus is regional program building across many partners, which is slower and broader than one plant measuring first-week quits across one hiring cycle.

Examples: Source 1 · Source 2