Thought leadership content shifts how someone thinks. 

Properly executed, your words bring clarity to real-world concerns, insecurities and confusion decision-makers are experiencing. 

And if you have a practical solution that works, your leading thoughts take people from “I can’t figure this out” to “this is how it works.” 

The test of a principled thought-leadership piece in the MSP space is simple: does it change the way business owners see a problem with their IT?

And this is the distinction to make between thought leadership content and standard content. 

Standard content informs. Thought-leadership content transforms.

Real thought leadership changes how people perceive a problem and explains what to do about it.

Ultimately, an effective thought leadership piece prompts a decision; a change in behaviour or attitude, an investment or the introduction of new operational procedures.

The best thought leadership pieces define:

• the problem,
• the language used to describe the problem,
• the framework for understanding the problem,
• and therefore the solution

What Does Thought-Leadership Content Look Like?

The principal objective of thought leadership content is to shift perspective. 

When thought leadership content hits home, the reader will say, “I’ve never looked at it that way before.”

You may assume the purpose of thought leadership content is to:

• build authority
• generate trust,
• create visibility,
• or attract leads

You’re not wrong.

But these are secondary effects.

The real purpose is this:

To establish intellectual ownership over a narrative. 

Point out what people are not seeing.

A problem people refuse to admit 

Real thought-leadership highlights something in the industry everyone is dancing around because they ignorantly refuse to say directly. 

Or they don’t want to believe it’s broken when it appears to be working. 

As an MSP owner, you know better than most that some people don’t see what will break until it breaks.

A prediction with reasoning behind it 

Genuine thought leaders put a stake in the ground about where things are heading and explain their logic. 

Essentially, you’re betting on the future and inviting people to agree, disagree, or think harder.

Several years ago, I wrote a thought leadership piece for an MSP client on how biometrics is the only secure MFA option left. It was published in Hackernoon. 

A diagnosis of an industry problem nobody has named yet

You identify a pattern, dysfunction, or trend your audience is experiencing but don’t know why.

The moment you name it, they think “that’s it.”

Thought leadership content hits home.

A contrarian argument backed by evidence

On the surface, there’s a fine line between a contrarian piece published for shock value and a genuinely held position that runs against consensus.

Any claims you make that run contrary to popular belief should be backed up with a rational argument based on evidence. 

For example, MSPs could write an article about how proactive IT support services could be devalued by clients because you are so good at fixing problems that are never seen, felt or fought.

You can actually produce real-world experience, data, and first-principle reasoning for this type of content — especially if you have had these discussions with a client.

A personal conclusion drawn from specific experience

On a similar theme, personal insights from lived experiences make inspirational thought leadership content.

Not only do personal stories engage readers, they are unique because to you. 

Whilst the insight or thought may not be entirely unique, how you came to the conclusion is. 

That’s not to say you should be writing thought leadership content every time you have a revelation. Stick to the lesser-known lessons or insights that come to you in a unique way. 

An example I could use is how I came to learn that life challenges us to develop on a personal level. 

This is arguably common knowledge. But I discovered this Truth through esoteric symbolism. What I actually discovered was how to use symbols as a self-development tool. 

Symbols come before the challenges get too tough.

Reframe an existing belief 

You take something your audience already accepts as true and show them why the premise itself is flawed. You’re not adding to the conversation; you’re restructuring it.

For me, the elephant in the room is AI as a content writing tool. 

I could easily publish content that explains the benefits that make “content marketing important”. 

But I don’t. I describe the uncomfortable reasons why a content marketing strategy using AI doesn’t work, so you avoid making mistakes. 

You can see one of my thought leadership pieces here to get a feel for how to write thought leadership content.

Hold the tension between two truths

It’s not unusual for people to take one side of an argument and stick to it. 

It’s less common for people to discern and recognise the value in both sides of the argument.

Holding two seemingly contradictory ideas and showing how both can be true simultaneously is a worthy contender for thought leadership content.

However, the capacity to navigate intellectual complexity is the hallmark of genuine expertise. Otherwise, the content is surface-level commentary parroting what other people are saying.

You might call it journalism.

Or content marketing that lacks strategy.

Real thought leadership helps readers understand both sides of the argument and contemplate the matter for themselves — or if they need to make a decision in relation to which version meets their needs or their view of the world.

Examples of Thought Leadership Content for MSPs

Up for a challenge? 

I’ve dropped some ideas for thought leadership pieces below. Why not challenge yourself to write one? 

Reveal flaws in the industry that people are not seeing

I’ve seen this issue in marketing and SEO, and I believe it exists in the MSP pricing model as well. 

MSP pricing is built on a conflict of interest nobody wants to admit.

The per-seat, per-device model that dominates managed services sounds logical until you examine the incentive it creates — the more complexity a client has, the more it costs. 

Which means there is a quiet, unconscious disincentive to simplify a client’s technology stack. 

Whilst no MSP would admit to keeping IT support stacks complicated on purpose, the pricing model rewards complexity and disregards consolidation.

The industry has built its commercial foundations on a structure that is fundamentally misaligned with the client’s best interests. Nobody is saying that out loud.

Truth earns trust. 

Trust leads to conversions.

Challenge a widely held assumption in your industry

More cybersecurity tools do not mean more security — it means more risk.

The assumption the industry sells is that security is additive. Buy this tool, add this layer, implement this solution, and you become safer. 

But the research tells a different story. 

The average SMB runs between six and ten security tools simultaneously, many of which are poorly integrated, inconsistently monitored, and create more attack surface than they’re closing. 

The cybersecurity industry has conflated cybercriminal activity and sold a busyness strategy as a substitute for a business strategy. More tools does not translate to more protection. 

In cybersecurity, more is often the problem.

The most secure businesses have the clearest, most ruthlessly simplified security gates.

Highlight lesser-known reasons why early strategies fail despite having tech tools in place

Digital transformation does always fail because of insufficient or ineffective technology. 

It’s the conversation that never took place before the technology was installed.

Businesses invest in platforms, migrate to the cloud, and implement new infrastructure — and then six months later wonder why nothing has fundamentally changed. 

The technology worked exactly as advertised. 

The problem was that nobody mapped the human workflows, political dynamics, and behavioural habits that the technology was supposed to improve before a single licence was purchased. 

Tech tools don’t transform businesses. Software amplifies whatever habits and structures already exist. 

If processes were broken before implementation, the cracks appear sooner and become more expensive to fix. 

The conversation you add about features should have included how features will support the way your staff already works — and whether new technologies will work for them. 

Sometimes, businesses need custom-built apps because the standard software is inadequate to meet their needs. 

They won’t know that until they try it. Trial and error can cause significant financial loss. 

Thoughts and opinions for why business owners are slow to invest in IT solutions — what do decision-makers not trust?

Business owners aren’t slow to invest in IT. They’re slow to trust the people selling it to them.

The industry diagnoses the problem as ignorance — business owners don’t understand technology, so they underinvest in it. 

But spend time with those business owners and a different picture emerges. 

They’ve been burned before. 

They bought a solution that solved a problem they didn’t have. They were upsold at renewal. They were handed off to a junior engineer after the sales director got their commission. 

They received an invoice for work they couldn’t verify. 

The barrier to IT investment is almost never a lack of understanding of technology’s value — it’s a rational, experience-based distrust of the people and organisations selling it. 

MSPs have an integrity perception problem.

And the solution isn’t better marketing. It’s building commercial relationships that prioritise the client’s outcome over personal profits.

The real cost of low-quality data

Bad data isn’t an IT problem. It’s a decision-making problem — and it’s costing you more than you think.

Most businesses know their data isn’t perfect. What they don’t appreciate is the compounding cost of every decision made on imperfect foundations. 

A sales team chasing leads from a poorly maintained CRM. 

A finance director forecasting from spreadsheets three people have edited without version control. 

A marketing team measuring campaign performance against metrics nobody defined consistently. 

None of these feel catastrophic in isolation. 

But bad data doesn’t produce one wrong decision — it produces a culture of decisions made with quiet uncertainty. People intuitively feel something is not quite right, but they go ahead with it anyway.

The real cost of low-quality data isn’t the occasional mistake. 

It’s the institutional hesitation, the hours spent reconciling conflicting reports, and the strategic opportunities missed because leadership couldn’t agree on what the business was actually telling them. 

Clean data isn’t a technical nicety. It’s the foundation on which every good business decision is determined.

Lessons learned from failures

What’s the most expensive mistake you ever made? 

Mine was jumping ship too early. 

I wanted to leave the corporate world and become a writer. I sold my house and moved overseas. But it took me three years to learn how to make writing pay. 

During that time I spent almost all of the £36,000 I made from selling my house. 

These types of thought leadership pieces are personal; engaging, touching and brave. They inspire. 

The caveat is, don’t boast about your successes. People don’t want to read about success. Humans revel in stories of misery and failure. But when failure leads to success, we feel hope and optimism. We feel inspired.

Use this thought leadership piece to move readers emotionally. 

Where AI is delivering value and where it is damaging your business

AI is making the best employees more powerful — but your weakest processes more dangerous.

The assessment of AI in business right now is that it is a multiplier — and multipliers don’t discriminate between what they amplify. 

On the flip side, you have the naysayers who warn against the dangers of over-reliance on AI.

Sitting somewhere in the middle are the pros and cons.

Where AI is genuinely delivering value is in the hands of experienced, critically-thinking professionals who use it to their advantage without losing sight of its dangers.

But AI is quietly damaging businesses in ways that people are not seeing. 

But you’re seeing it because you have data, vision and experience. 

For example, customer communications is losing the human touch.

People are annoyed and frustrated with AI assistants. 

Human connection builds relationships. 

The businesses that will win with AI are not the ones that use it to cut corners — they are the ones that deploy it with the clearest understanding of where AI supplements workloads but recognise that human judgment is irreplaceable.

Need More Thought Leadership Content Ideas? 

No problem! 

I’ve got you covered in this article: Thought Leadership Content: Examples for Executives

Oh, and please remember that AI is not your best writing buddy. 

Okay, it does a job, but not a great job. Don’t rely on AI chatbots to create thought leadership content for you – because AI is only capable of ripping off the ideas of other thought leaders.

Need help writing thought leadership content? 

Ideas that genuinely set you apart are the uncomfortable truths about industry and the world in general. 

They’re sitting in your head, and in your client conversations. 

But you don’t know how to express your thoughts, and your clients are clear on the problem, but they feel the pain. 

The difference between genuinely influential thought leaders and businesses that are invisible online boils down to one thing: the willingness to say what you think. 

If you’re ready to be a leading voice in your industry, but you’re not sure how to put your thoughts into words, why not ask a professional content writer to start the conversation for you?

Let’s talk about how I can get your insights onto screens. Contact me to schedule a free 30-minute discovery.