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Part 1 of 4: Why Business Complexity Is Making Growth Harder (Despite More Data, AI and Investment)

Updated: Apr 13

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Why is business not getting easier?


Seriously… why not?


If you took the tools, technology and capabilities we have today and gave them to businesses in the 60s, 80s or even early 2000s…


They would be flying.



We have more than ever

Today, organisations have access to capabilities that previous generations could only have imagined.


We have:

  • more data than ever, including predictive and intent-based data

  • more tools than ever, across every part of the commercial ecosystem

  • more specialisation, entire functions dedicated to optimisation

  • more training, frameworks and best practice

  • more investment than ever


We’ve created:

  • Chief Revenue Officers to unify growth

  • global supply chains with extraordinary efficiency

  • sophisticated marketing and digital ecosystems


And when we don’t have the answers internally?

We outsource to the smartest people in the world.



And yet…

Growth is getting harder.

Execution is slower.

Marketing is less effective.


Organisations are:

  • busier than ever

  • but less productive than they should be

  • more sophisticated

  • but less coherent


So what’s going on?



The easy answer is business complexity but that is not the full picture


The obvious explanation is complexity.


Yes, organisations are more complex:

  • more markets

  • more products

  • more channels

  • more stakeholders


But here’s the problem: We’ve spent decades and billions trying to solve complexity.


Through:

  • transformation programmes

  • technology investments

  • operating model redesigns

  • consulting engagements


If complexity was the real issue, we should have solved it by now.

But we haven’t.



A different hypothesis

The problem isn’t what we’ve added.

It’s what we’ve lost.



What businesses used to do better

50 years ago, businesses did something fundamentally different.

  • They didn’t have our tools.

  • They didn’t have our data.

  • They didn’t have our technology.


But they did have something we’ve lost.

They worked through problems together.


They:

  • brought the right people into the room

  • debated properly

  • challenged assumptions

  • aligned on what actually mattered


They understood:

  • how the business operated

  • how decisions were made

  • how value flowed across the organisation


They took time to:

  • understand the “why”

  • not just react to the “what”


And critically…

They thought across time horizons:

  • short term

  • medium term

  • long term


Not just the next quarter.


A bronze statue of a contemplative figure sitting on a rock, depicted in a blue and yellow color scheme. Background is solid yellow.

This wasn’t theory, it was operational reality


This isn’t nostalgia.


Some of the most respected operational systems today come from that mindset.


Toyota’s production system.

Lean manufacturing.

The foundations of agile.


These weren’t created by:

  • tools

  • platforms

  • consultants


They were created by people deeply understanding:

  • how work actually flows

  • where friction exists

  • how to align the system



What changed

Somewhere along the way, we stopped doing that.

Not deliberately.

But structurally.



The behavioural shift

1. From shared understanding → to functional ownership

Instead of solving problems together:

  • marketing owns marketing

  • sales owns sales

  • operations owns operations

The system gets fragmented.


2. From debate → to alignment theatre

We still meet.

But:

  • less challenge

  • less friction

  • less real debate

More:

  • updates

  • presentations

  • surface-level agreement


3. From understanding → to output

We replaced deep understanding

With:

  • deliverables

  • decks

  • frameworks

The appearance of progress replaced actual progress.


4. From problem-solving → to programme management

We became excellent at:

  • managing initiatives

  • tracking milestones

  • reporting progress

But less effective at solving the underlying problem


5. From long-term thinking → to compressed horizons

What used to be long-term thinking: 5–10 years

Is now: 4–6 months

Everything is optimised for:

  • short-term delivery

  • immediate outputs

At the expense of structural improvement



The structural consequence

As complexity increased, organisations responded by adding:

  • layers

  • systems

  • functions

  • governance

  • processes

But they never rebuilt the organisation to work as one system.



What actually happens inside organisations today

Instead of becoming more aligned:

  • silos harden

  • decision latency increases

  • execution drifts

  • duplication becomes normal

  • teams compensate manually


And the cost shows up as:

  • delay

  • rework

  • inefficiency

  • leadership drag



Why modern solutions don’t fix it

So we try to solve it with:

  • more tools

  • more AI

  • more transformation

  • more external expertise


But most of these approaches:

  • manage complexity

  • add layers

  • treat symptoms

And leave the root cause intact.


As business complexity increases, organisations struggle to maintain alignment and execution.


The uncomfortable truth

Most organisations don’t have a capability problem.

They have a coherence problem.



Why this matters now more than ever

AI, automation and advanced tools are accelerating everything.

But they don’t fix misalignment.


They amplify it.

  • If the system is fragmented: AI makes fragmentation faster

  • If decisions are unclear: AI increases noise

  • If teams aren’t aligned: AI scales inconsistency



So what’s the real question?

It’s not:

  • “What tools are we missing?”

  • “What capability do we need to add?”

It’s:

  • “How does our business actually work?”

  • “Where does it break?”



Final thought

Maybe the reason business isn’t getting easier…

Is because we’ve been trying to solve the problem from the outside.

Adding:

  • tools

  • frameworks

  • programmes

Instead of fixing it from the inside:

  • how the organisation actually works

  • how decisions are made

  • how teams align and execute



Because until that changes…

  • No amount of investment

  • No amount of technology

  • No amount of AI

Will make things easier.



Maybe the problem isn’t what we’re adding.

Maybe it’s what we stopped doing.


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