MikeMars Efficiency Design, Denpasar (2026)

09/10/2026

🔥 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀: 𝗔𝗜 𝗰𝗼𝘂𝗹𝗱 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗹𝗲𝘀𝘀 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲.

Yes.
Less valuable.

If your main advantage is:
"We can produce content faster."
Someone else will eventually produce it even faster.

If your advantage is:
"We can create more content with AI."
Someone else will create even more.

So what happens when everyone has AI?

Your production advantage disappears.

💡 𝗧𝗵𝗲 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀:
"What can we now do for our clients that we couldn't economically do before?"

Imagine an agency telling a client:

💬 "We want to add something to your existing package."
🙋 "What does it cost?"
💬 "Nothing extra. We integrated AI into our production and analysis processes. That gives our team more capacity. Instead of simply producing more content, we're using that capacity to test, analyze, optimize and continuously improve your marketing."

Now the agency isn't selling:
❌ More posts
❌ More reports
❌ More production hours

It's selling:
✅ More experimentation
✅ Faster optimization
✅ Deeper analysis
✅ More personalization
✅ Continuous improvement

🚀 𝗧𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗔𝗜 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆.

Don't use AI only to make your existing service cheaper.
Use it to 𝗿𝗲𝗶𝗻𝘃𝗲𝗻𝘁 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗿𝗲𝗰𝗲𝗶𝘃𝗲𝘀.

👇 If every agency had the same AI tomorrow, what would your clients still choose you for?

07/10/2026

⚠️ 𝗬𝗼𝘂𝗿 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗺𝗮𝘆 𝘀𝗼𝗼𝗻 𝗲𝘅𝗽𝗲𝗰𝘁 𝗺𝗼𝗿𝗲, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗽𝗮𝘆𝗶𝗻𝗴 𝗺𝗼𝗿𝗲.

Sounds dangerous?
It could actually be your biggest opportunity.

AI is changing the economics of professional services.

📊 Research from Thomson Reuters found that 𝟳𝟴% of corporate clients consider AI enabled quality improvements very important or essential.

But only 𝟲% say most or all of their providers currently deliver that level of AI enabled quality.

🕳️ 𝗧𝗵𝗮𝘁 𝗴𝗮𝗽 𝗶𝘀 𝗲𝗻𝗼𝗿𝗺𝗼𝘂𝘀.

And it creates a new question for every founder:
What can we give customers now that AI has increased our capacity?

Imagine a consulting firm telling a client:

💬 "We want to add something to your service."
🙋 "How much?"
💬 "Nothing extra. We integrated AI into parts of our research and analysis process. That gives our consultants more capacity. Rather than keeping all of that efficiency for ourselves, we're using some of it to provide you with additional insights."

💥 𝗧𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝘀𝗵𝗶𝗳𝘁.

AI doesn't have to mean:
❌ Same service → lower cost

It can mean:
✅ Same price → more value

🔍 More analysis.
💡 More insights.
🧭 More proactive recommendations.
🧪 More experimentation.
🔄 More continuous improvement.

The winners may not be the companies that use AI to do less.
They may be the companies that use AI to give customers 𝗺𝗼𝗿𝗲.

👇 If AI gave your team more capacity tomorrow, would you keep the savings or give part of them to your customers?

05/10/2026

🚨 𝗔𝗜 𝗺𝗮𝘆 𝗯𝗲 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.

Not because AI is expensive.
Because it is making your service cheaper to deliver.

Imagine your competitor can suddenly deliver the same result as you, but with significantly less labor.

What happens next?

📉 They can lower their price.

And suddenly your customer asks:
"Why am I paying you more for essentially the same result?"

💡 𝗕𝘂𝘁 𝘁𝗵𝗲𝗿𝗲 𝗶𝘀 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗺𝗼𝘃𝗲.

Instead of turning AI efficiency into a price cut, turn it into 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘃𝗮𝗹𝘂𝗲.

Imagine this conversation:

💬 You: "Sarah, we want to add something to your service."
🙋‍♀️ Sarah: "What does it cost?"
💬 You: "Nothing extra. We integrated AI into how we work. It gives our team more capacity, so we're using part of that capacity to give you more."
🙋‍♀️ Sarah: "So I get more without paying more?"
💬 You: "Exactly."

🔥 𝗧𝗵𝗮𝘁 𝗶𝘀 𝗮 𝘃𝗲𝗿𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆.

Don't just ask:
❌ "How much can AI save us?"

Ask:
✅ "What more can our customer receive because AI made us more efficient?"

🎯 That question could define your competitive advantage.

👇 If AI cut your cost of delivery tomorrow, would you lower your price or raise what your customer receives?

02/10/2026

⚡ 24%.

Sometimes the biggest innovation isn't producing more.

It's realizing how much you didn't need to consume in the first place.

The International Energy Agency estimates that efficiency improvements in IEA member countries since 2000 saved around 24% of energy use by 2021 compared with what would otherwise have been consumed.

That avoided energy use was comparable to India's final energy consumption.

That is a huge reminder for the AI era.

We talk constantly about what AI allows us to create.

More software.
More content.
More analysis.
More products.
More automation.
More output.

But perhaps one of AI's greatest opportunities is the opposite:

🔎 Find what we don't need.
♻️ Identify waste.
💡 Generate better alternatives.
📊 Model different scenarios.
⚙️ Redesign the process.
🧪 Test ideas faster.
↻ Learn and continuously improve.

Imagine applying that thinking to:

📦 Packaging
⚡ Energy
🚚 Logistics
📣 Marketing
💻 Software
📊 Reporting
🤝 Meetings
🏛️ Public processes

The question isn't:

“What can we automate with AI?”

It is:

“What value are we trying to create, what is preventing us from creating it effectively, and what shouldn't we be doing at all?”

Only then should we ask where AI belongs.

Because AI creates a fascinating paradox:

It could become one of our greatest tools for eliminating waste…

…or the greatest accelerator of waste we've ever built.

The technology won't decide which one.

We will.

👤 Human judgment
×
🤖 AI capability
×
⚙️ Operational Excellence
=
🚀 Better Value Creation

Source: International Energy Agency, Energy End-uses and Efficiency Indicators

30/09/2026

📣 $20 BILLION.

Not factory scrap.
Not wasted plastic.
Not wasted food.

Marketing.

The Association of National Advertisers found up to $20 billion in potential efficiency gains inside the $88 billion open-web programmatic advertising ecosystem it studied.

That number matters even more now.

Because AI is making marketing production almost unlimited.

100 headlines? Easy.
50 ad variations? Easy.
30 LinkedIn posts? Easy.
Thousands of personalized messages? Also easy.

But here is the problem:

More content ≠ more value.

And becoming 10× faster at producing content nobody needs is not productivity.

It is overproduction at digital speed.

That doesn't mean we need less marketing.

Quite the opposite.

You can create the best product or service in your market…

…but if the right people don't know it exists or understand its value, you still have a problem.

So marketing remains essential.

But the question changes from:

❌ How can we produce more?

to:

🎯 Are we creating something people actually value?
🎯 Are we communicating that value effectively?
🎯 Are we reaching the right people?
🎯 What activity creates no meaningful result?
🎯 Where can AI help us learn and improve faster?

This is where Lean thinking + AI + Operational Excellence becomes powerful.

Don't use AI simply to make the machine run faster.

First make sure it's running in the right direction.

🎯 Effectiveness first.
⚙️ Efficiency second.
↻ Continuous Improvement always.

Source: Association of National Advertisers, Programmatic Media Supply Chain Transparency Study

28/09/2026

🌍 $1+ TRILLION.

That is the estimated economic cost of food waste every year.

Around 1.05 billion tonnes of food were wasted in 2022.

Think about what happened before that food became waste:

🌱 It was grown
⚡ Energy was consumed
👷 People worked
📦 It was packaged
🚚 Transported
🏪 Stored
📣 Marketed
🛒 Purchased

And then much of that value was simply… thrown away.

This is why we need to expand how we think about Operational Excellence in the AI era.

The question is no longer only:

How can we produce something faster and cheaper?

The better question is:

Why are we creating this waste in the first place?

And this is where AI becomes incredibly interesting.

AI can help us analyze demand, identify patterns, challenge assumptions, generate alternatives, redesign processes and simulate completely different solutions.

But AI should not decide what is valuable.

👤 Humans decide.
🤖 AI expands what is possible.
⚙️ Operational Excellence gives the system direction.

The opportunity isn't simply to become more efficient.

It is to continuously turn:

WASTE → VALUE ♻️

And when you start looking at your own business through that lens, you may be surprised by how much value is hiding inside work that should never have existed.

AI gives us abundance.
Operational Excellence gives abundance direction.
Humans decide what is valuable.

Source: UNEP, Food Waste Index Report 2024

25/09/2026

Don't build an AI culture.

Build an improvement culture.

There is an important difference.

Giving everyone access to AI doesn't automatically make a business better.

AI can produce an answer in seconds.

It can also produce the wrong answer in seconds.

A 2025 study tested experienced open-source developers on 246 real coding tasks.

They believed AI made them around 20% faster.

The measured result in that specific environment?

They were 19% slower.

That is exactly why I believe AI makes Continuous Improvement MORE important, not less.

AI expands what we can attempt.

PDCA helps us determine what actually works.

🧠 PLAN
What problem are we solving? What value should improve?

🛠️ DO
Build and test the Human × AI solution.

📊 CHECK
Did the real process actually get better?

🔄 ACT
Keep what works. Change what doesn't. Create the new standard.

Then question the standard again.

This is where leadership matters.

Teach people to question their work.

Teach process thinking.

Teach PDCA.

Give employees room to experiment.

Create standards.

Measure reality.

Lead by example.

The competitive advantage isn't having access to AI.

Your competitors have access too.

The opportunity is creating an organization that continuously turns problems into tested improvements.

EFFECTIVE → EFFICIENT → IMPROVE ↻

Human in control.
AI amplified.
Continuous Improvement built in.

Don't just use AI.

Build a business that continuously gets better.

🚀 Explore the MikeMars Living Operating System:
https://www.mikemars.org/os

23/09/2026

One notebook.

That was the membership system.

🥊 At this Muay Thai gym, packages and training sessions were recorded manually.

Every session meant:

→ Find the member
→ Check the notebook
→ Record the lesson
→ Calculate what is left
→ Make sure nothing was forgotten

It worked.

But it created work — and uncertainty.

Was every session recorded?

How many sessions are really left?

What happens when another coach takes over?

For the customer, that matters too.

Trust increases when the answer isn't:

“I think you have 4 sessions left.”

But:

👉 THE SYSTEM KNOWS.

So we replaced the notebook with a simple operating system.

Physical membership card
↓
Scan QR
↓
Confirm training
↓
Session recorded
↓
Balance updated automatically

Every member has a unique card.

Every training session has a history.

Every coach can see the correct status.

And the customer can trust the record.

💥 Idea → Working Process: approximately 4 days.

That is what excites me about Human × AI.

Not that AI can write code.

But that a small business can now turn a process problem into a professional solution incredibly fast.

And this system is already built.

If you run a gym, martial arts school, fitness business or another membership-based business and want a system like this:

📩 DM me. I can adapt and implement it for your business.

Don't just use AI.

Build a business that continuously gets better.

🚀 More real processes, frameworks and Human × AI examples:
https://www.mikemars.org/os

21/09/2026

88% of organizations are already using AI in at least one business function.

But I think we are still underestimating what is actually changing.

AI isn't just making work faster.

It is changing what customers value.

And it is changing what your business is capable of building.

A field study of 5,179 customer-support agents found:

→ +14% productivity on average
→ +34% for novice and lower-skilled workers

That second number is the one I find particularly interesting.

Because AI can give people access to capabilities they didn't have before.

Think about all the improvements in your business that you've accepted as:

→ Too expensive
→ Too technical
→ Too complicated
→ Not worth hiring a developer for
→ “Would be nice, but we don't know how”

Look at them again.

The economics of improvement have changed.

But don't start with:

❌ “What can we automate with AI?”

Start with:

🎯 EFFECTIVE
Are we still creating the right value?

⚙️ EFFICIENT
How could Human × AI create that value dramatically better?

🔄 IMPROVE
How do we continuously question, test and improve the new standard?

AI is not the strategy.

AI expands what you can do.

Human judgment decides what is worth doing.

Operational Excellence turns it into a system.

Don't just use AI.

Build a business that continuously gets better.

🚀 Explore the MikeMars Living Operating System:
https://www.mikemars.org/os

18/09/2026

AI IS MAKING MORE AND MORE WORK ABUNDANT.

And when something becomes abundant, its value changes.

We can already see it:

📣 MARKETING

Content becomes abundant.

→ Compete on attention, differentiation and business impact.

💻 SOFTWARE

Code becomes abundant.

→ Compete on reliable systems, adoption and business outcomes.

📊 CONSULTING

Information and analysis become abundant.

→ Compete on judgment, implementation and measurable results.

Now ask the uncomfortable question:

❓ What is AI making abundant in YOUR business?

Then ask the more important one:

❓ What will your customers value more because of that?

This is where traditional Continuous Improvement needs to evolve.

Instead of starting with:

“How can we improve this process?”

Start one step earlier:

“Is this still the right VALUE to create?”

I call this:

CONTINUOUS VALUE INNOVATION

The loop:

① SENSE
What is AI making easier, faster, cheaper or abundant?

② VALUE
What does the customer still value enough to pay for?

③ REDESIGN
What should we stop, change or create differently?

④ HUMAN × AI
Where does AI create leverage — and where do humans create greater value?

⑤ OPERATE
Build the processes, ownership, standards and KPIs.

⑥ MEASURE
Did customer and business value actually improve?

⑦ IMPROVE ↻
Learn. Standardize. Improve. Recheck customer value.

AI provides the capability.

Operational Excellence creates the system.

Continuous Improvement keeps it evolving.

Customer Value provides the direction.

Don’t compete with AI on the work AI is making abundant.

Use AI to free capacity — and continuously move that capacity toward what your customers value next.

MikeMars Efficiency Design

09/10/2026

07/10/2026

05/10/2026

02/10/2026

30/09/2026

28/09/2026

25/09/2026

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18/09/2026

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