Industry 4.0: Fraud or Misunderstood? What 162 Manufacturing Leaders Actually Think
- Feb 13
- 6 min read
The Post That Started a War
Tuesday morning. 8:00 AM.
I published what I thought was a controversial LinkedIn post.
"Industry 4.0 is the biggest fraud of the decade."
By end of day: → 19,000+ impressions → 162 comments → 19 reposts → 200+ new followers → A podcast invitation from Walker Reynolds
I didn't expect any of it.
But manufacturing clearly needed this conversation.
And what emerged from 162 comments wasn't what I expected.
It was better.
What I Actually Said (And Why)
The original post laid out a simple argument:
Industry 4.0 has become a vehicle for selling software licenses, not delivering business results.
The playbook:
Create urgency ("Your competitor is already 4.0!")
Sell the dream ("AI will optimize everything!")
Execute poorly ("You weren't ready for transformation")
Repeat with new buzzword
My evidence:
70% of projects fail or become zombies
Average budget overrun: 2x-3x
Timeline promised: 12 months. Actual: 36+
ROI for most implementations: negligible
Was I right?
Partially.
Was I wrong?
Also partially.
Here's what 162 manufacturing professionals taught me.
The Debate: Both Sides Made Valid Points
Those Who Agreed 🔴
The commercialization argument:
The most common theme from supporters was simple: the concept was sound, the execution was broken.
As one commenter put it perfectly:
"Buzzwords sell ideas. But only solutions solve problems. If you aren't identifying a specific pain point and fixing it, you aren't innovating. You're just spending money."
Another practitioner with 10+ years across multiple industries shared:
"Not a single big-bang project I did in the last 10 years was a success. Too many silos. Too many people with too many opinions."
And perhaps the most honest comment of the entire thread:
"We know there's a problem. We just can't define it yet."
That single sentence captures why most digital transformation projects fail before they even start.
The vendor problem:
Multiple commenters pointed to the same root cause: vendors optimizing for sales, not outcomes.
"The sales and business tactics employed by vendors and some consultants take a lot of the blame."
"If someone promises you ROI without knowing your business or stepping into the factory... RUN."
The consensus: the technology itself wasn't broken. The way it was being sold was.
Those Who Disagreed 🟢
The results argument:
The strongest pushback came from practitioners who had actually delivered results.
One solutions architect working exclusively with Fortune 100 companies wrote:
"Those companies that have invested intelligently, strategically, and with the right partners in Industry 4.0 solutions are MASSIVELY ahead of their competition. I have seen many 5-10x ROIs on projects within a 6-12 month timeline."
Another shared a case that stopped me in my tracks:
"Tripling the output of a production line without modifying the hardware. ROI that paid out in days."
That's not fraud. That's exactly what Industry 4.0 should deliver.
The IT/OT convergence argument:
Several experienced engineers pushed back on the framing itself:
"Industry 4.0 isn't something you install or implement. For me it represents the convergence of IT and OT. Using IT technology to solve problems in the OT world."
That's a more accurate definition than anything most vendors use in their pitch decks.
What I Got Wrong
The title was too strong.
"Fraud" implies intentional deception as the primary driver.
The reality is more nuanced:
Most failures aren't the result of malicious vendors. They're the result of intentionless implementation.
Companies that:
Start with technology instead of problems
Skip process redesign entirely
Underinvest in change management
Don't build internal digital capability
Measure implementation % instead of ROI
That's not fraud.
That's a broken adoption pattern that repeats itself with every technology wave.
We saw it with ERP in the 90s. With IoT in 2015. We're seeing it NOW with AI.
Same pattern. Every single time:
Genuine innovation emerges
Vendors commercialize it aggressively
Buzzwords replace substance
FOMO drives bad decisions
Projects fail
Technology gets blamed
New buzzword emerges
Repeat
What I Still Believe
Despite updating my thesis, the core problem remains:
The gap between what's possible and what's delivered is unacceptable.
For every $250K → $25M success story: There are 100 factories with expensive hardware collecting dust.
For every tripled production line: There are 100 dashboards nobody looks at.
For every Fortune 100 with genuine digital advantage: There are 1,000 SMEs who bought the dream and got the nightmare.
That gap is real. That gap is costly. And that gap is what I was really writing about.
The Real Conclusion: 5 Lessons From 162 Manufacturing Leaders
Lesson 1: "A toolset, not a panacea"
The definition that should have been on every Industry 4.0 pitch deck from day one.
Technology is a hammer. Knowing WHAT to build is the skill.
Most companies bought the hammer before they had a blueprint.
The fix: Define the specific business problem BEFORE opening any vendor conversation.
Lesson 2: Process → People → Culture → THEN Technology
In that order. Always.
As one commenter said brilliantly:
"Technology applied to a broken process just gives you a faster broken process."
The sequence matters more than the technology selection.
Most implementations fail because they skip steps 1-3 and jump straight to step 4.
The fix: Map your current process. Fix what's broken manually first. THEN automate what works.
Lesson 3: "Implementation without intent"
This phrase from one commenter captured the root cause better than my original post.
It's not Industry 4.0 that fails. It's implementation without:
Clear problem definition
Measurable success criteria
Process redesign
Change management
Long-term capability building
The fix: Before any digital initiative, answer these three questions:
What specific problem costs us money TODAY? (in €€€)
What does "solved" look like in measurable terms?
What's the simplest possible solution?
Lesson 4: Big-bang always fails
One of the most consistent themes across all 162 comments:
Large-scale simultaneous implementations fail. Every time. Without exception.
"Not a single big-bang project I did in the last 10 years was a success."
Too many silos. Too many opinions. Too many points of failure.
The fix: One pain point. One solution. One line. Prove value. Then scale.
Lesson 5: "KISS and Back to Basics"
The most powerful methodology in manufacturing.
Combined cost: €0 ROI: Immediate Adoption rate: 100%
But you can't charge €500K for it.
And that's the real problem.
The fix: Before buying any technology, ask: "Could we solve 80% of this problem with better processes and clearer communication?"
If yes → start there.
The Framework That Actually Works
Based on 15+ years of implementations and this week's debate, here's the methodology I recommend:
Step 1: Define the Problem
What specific operational problem costs us money?
How much does it cost? (Be specific: €X per month)
What does "solved" look like in measurable terms?
Who feels this pain most? (Ask them, not their manager)
Step 2: Fix the Process First
Map current state (as-is, not as-should-be)
Identify root causes (not symptoms)
Redesign process manually first
Validate with the people who do the work daily
Step 3: Build the Capability
Who owns this problem?
Who will maintain the solution?
What skills do we need to develop internally?
How do we ensure this doesn't depend on one person?
Step 4: Select the Technology
What's the simplest technology that solves this?
Can we prove value with a PoC in 30 days?
What does integration actually require?
What's the real total cost of ownership?
Step 5: Prove Value Fast
Implement on ONE line first
Measure against baseline from Week 1
Fix issues within 48 hours
Document everything
Step 6: Scale What Works
Only scale what delivered proven ROI
Kill what didn't work fast
Use Line 1 team to train Line 2
Continuous improvement built in from day 1
The Real Question for Your Organization
Right now, in your company:
Is there a digital initiative running without a clearly defined business problem?
If yes → that's your biggest risk.
Not the technology. Not the vendor. Not the budget.
The missing problem definition.
Everything else is just expensive noise.
Let's Continue the Conversation
This article is the beginning, not the end.
Two ways to stay connected:
🎯 Work with me If your organization is facing digital transformation challenges, let's talk. → www.industrydisruptorslab.com
🎯Follow me on LinkedIn or Substack for more content
About Jacobo Lloret Casal
Digital transformation specialist with 15+ years implementing MES, MOM, and Industrial IoT systems across 50+ manufacturing plants in Europe. Strategic advisor to CEOs and Boards on operational excellence and manufacturing competitiveness.
Founder of Industry Disruptors Lab.
📍 Europe | 🌐 www.industrydisruptorslab.com
Tags: Industry 4.0, Digital Transformation, Manufacturing, Operational Excellence, MES, Industrial IoT, Leadership, CEO
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