AI Is Here — Do You See What’s Coming?

AI THINK TANK

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Aug 20, 2026
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The UKBF community forums are not a blogging platform.

I've been thinking about something I came across on social media recently.

The post was about business, success and what AI could mean for the next generation of entrepreneurs.

Its title was simple:

“AI Is Here — Do You See What’s Coming?”

It made me think about something that has always been true in business.

Why can two people operate in the same industry, face similar market conditions and work equally hard, yet achieve very different results?

Why can some businesses find a way into international markets, while others remain stuck competing in the same crowded domestic market?

And why do some companies continue to grow across generations, while others struggle to move beyond the level they have already reached?

Perhaps the answer is not simply about working harder.

Perhaps it is also about what you see, what you use and who you work with.

What did they see before others?​

The original post uses three well-known entrepreneurs as examples and asks:

What did they see before everyone else did?

Jeff Bezos saw the internet changing the way people could buy things.

Instead of treating the internet simply as another communication tool, Amazon used it to rethink how books could be sold. The business eventually grew far beyond books and became one of the world's largest companies.

Bill Gates saw another opportunity.

Rather than trying to build everything itself, Microsoft worked with major computer manufacturers and made its software part of a much wider computer ecosystem.

The lesson is fairly straightforward:

You do not always have to own every resource yourself. Sometimes, you need to know whose resources you can work with.

Then there is Elon Musk.

Tesla was looking beyond its home market while electric vehicles were still far from mainstream. The opportunity was not yet obvious to everyone, but the direction of the industry was becoming clearer.

Today, Tesla is one of the companies associated with the transformation of the modern electric vehicle industry.

Different people.

Different industries.

Different periods of technological change.

Yet three ideas keep coming up:

Use the right tools.
Build the right connections.
Move early when you see what may be coming next.


None of these ideas is particularly new.

But they remain relevant.

A good product is not always enough.

Capital is not always enough.

Working harder is not always enough.

Sometimes, the difference comes from recognising a new tool early, knowing who you can work with, and understanding where the market may be heading before it becomes obvious.

And this brings us to AI.​

AI is here.

Just as the internet changed the way businesses operated, AI is beginning to change how businesses find customers, communicate across markets, manage information, analyse opportunities and connect with people and resources.

But perhaps the more useful question is not:

“Will AI change business?”

It probably will.

The more interesting question for business owners may be:

“Where will it actually make a difference to my business?”

For some businesses, that might mean saving time on administration.

For others, it might mean improving customer service, analysing information, reaching new markets or working with people and resources that were previously difficult to access.

And for some businesses, it may mean very little — at least for now.

That is worth acknowledging too.

AI is a tool. It does not automatically create a successful business.

The outcome still depends on the business model, the people using the technology, the decisions being made and the opportunities being pursued.

So where does the opportunity sit?​

This is the part I find most interesting.

AI-enabled platforms are increasingly bringing together three things that have always mattered in business:

Tools. Connections. Foresight.

Used well, they could give businesses more options.

A small business may be able to access capabilities that previously required a larger team.

A business may be able to explore a new market without having to build everything from scratch.

A founder may be able to connect with people, knowledge or resources that were previously outside their reach.

And businesses may be able to spot opportunities earlier than they could before.

But none of this guarantees success.

The advantage may simply be that businesses have more choices, more information and potentially more ways to act.

Timing may matter​

Think about the earlier examples.

Bezos did not wait until every retailer was selling online.

Gates did not wait until every computer company understood the value of software.

Musk did not wait until electric vehicles were already everywhere.

They moved while the opportunity was still developing.

AI may represent another such moment.

The opportunity may not simply be to use AI to do today's work faster.

It may also be to rethink what work should be done, where business can be done, who it can be done with, and which markets are now accessible.

That could become increasingly important for smaller businesses in particular.

Difficult markets can create opportunities too​

There is another side to this.

The global economy is facing genuine challenges.

Competition is intense. Costs are under pressure. Many industries are crowded. For many businesses, maintaining growth is becoming harder.

But difficult markets have always done two things at the same time.

They push some businesses out.

And they create room for others to emerge.

Every major shift creates both winners and losers.

Some businesses continue doing what worked yesterday.

Others start preparing for what may work tomorrow.

So perhaps the more useful question is not simply:

“How difficult is the market?”

Perhaps it is:

“What opportunity is this difficult market creating that most businesses have not noticed yet?”

AI is here.

The next shift may already be underway.

But I'm curious what this looks like from the perspective of people actually running businesses.

Discussion​

Has AI already changed the way you run your business?

If it has, where have you seen the biggest difference?

  • Saving time or reducing costs?
  • Finding customers or entering new markets?
  • Working with people or resources outside your existing network?
  • Making better decisions?
  • Creating a completely new product or service?
  • Or, so far, not much at all?
And perhaps the bigger question:

Are businesses genuinely moving early on AI, or are most of us still waiting to see what everyone else does?

I'd be interested to hear what other business owners are actually seeing on the ground.

Do you see what's coming?
 
What I see coming is a shrinking use of AI doe to increased costs and poor take up of paid services. AI will remain a research tool for many but others may well become hostile to how AI tools refuse to follow guardrails.
I also suspect very soon there will be major incident where core utilities are compromised as a result of bad actors tasking agents to infiltrate networks and systems.

All those skilled engineers, technicians and developers now out of work because of mass AI adoption are no doubt already fet up with how AI is being rammed into everything. Why does my fridge need AI?
 
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To me the post demonstrates the very worst aspect of AI in its current form - a whole load of meaningless waffle with no real point (like the worst type of politician).

I may paraphrase though, to a question I have asked and have yet to receive a meaningful answer:

What is the business of AI?

Yes, it's useful - in much the same way that Microsoft Office is useful. That made Microsoft (and their resellers) a lot of money, and created a relatively tiny industry of consultancy - And that's pretty much it.


The internet created businesses & (arguably) a whole new industry:

- Businesses selling to the internet - Cisco etc - big numbers, tiny number of businesses.

- Selling the internet - ISPs / Search engines etc - again, big money but tiny number of businesses.

- Selling through the internet - online retail and now content. (Arguably just evolutons of existing channels) - The journey hasn't been a straight line. There have been more failures than successes but it's fair to say that these are the real business of the internet.

So, back to the question - what is the business of AI. Or is it more Microsoft Office than internet?
 
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I've no idea. I'm asking a question
If I had to answer the question about all forms of AI available today, I would say the business is the licencing of access to intelligence and problem solving algorithms, previously unavailable through other technologies. That access can be both free or paid.

I know that sounds like it was written by AI. I can assure you it wasn't.
 
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To me the post demonstrates the very worst aspect of AI in its current form - a whole load of meaningless waffle with no real point (like the worst type of politician).
A +1 from one this too.

What is the point of this post? What value does it offer over and above @AI THINK TANK other similar post where they didn't come back or contribute to the discussion they had started.

Guess they must be trying to post AI generated blog posts perhaps?
 
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Saw an advert this morning for LG. Apparently my TV now has AI. What is point of this? How is AI going to improve the shows and films I watch?

And lets be very clear about this. It's not AI. It's machine learning. It's a Stochastic Parrot.

Using a LLM to find a cure for cancer - great! Using a LLM to generate endless reams of essentially plagarised content - absolute pants.

@AI THINK TANK - give us one example of how AI in your business has improved the lives of those it affects.
 
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I believe the important difference is between AI as a product and AI as a tool that supports other things.

For most companies, the question isn’t “use AI because it’s the future.” It’s about whether AI can reliably solve a specific problem.

For instance, in my job, a really helpful use has been sorting and organising large amounts of information that would otherwise need a lot of manual effort. This doesn’t take over the decision-making, but it cuts down the time needed to get to the point where a decision can be made.

That’s where I see the benefit now: not using AI in every product, and not replacing everything with a chatbot, but finding specific repetitive or information-heavy tasks where it actually saves time or makes the process better.

I think Mark’s question is a good one, though: we’re still at the beginning, so it’s not clear if AI will create completely new businesses on a big scale, or if it will mostly become another part of technology that existing businesses use in their current work.
 
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I use AI to rationalise information and data which in turn helps me make decisions.
Because AI helps me do this quicker than without AI, I am finding that I have time to consider things now that a few years ago I didn't have time to make sense of.
I am a better me with AI by my side in both business and in my personal life.
 
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A +1 from one this too.

What is the point of this post? What value does it offer over and above @AI THINK TANK other similar post where they didn't come back or contribute to the discussion they had started.

Guess they must be trying to post AI generated blog posts perhaps?
I often wonder why people bother to reply to such posts. I think if I were to directly, especially whey they feign “an interest to hear” it would be to advise my hourly rate and subject to availability how much time would they like to book? Paid up front of course.
 
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How are you verifying the AI outputs?
To answer this, let me give you an example of how I have used AI recently.

I had an issue with obtaining insurance cover. There were very many inter-related factors to consider, which included aspects related to Contractual Terms, Company Formation / Dissolution, Liability Limits, Minimum Premiums, Commercial Reasonableness amongst others. I asked an AI to summarise how all these aspects related to each other, which gave me a much clearer view in my mind of the complex array of inter-related aspects. This helped me make a decision.

So, to answer your question, there was no need for me to verify the AI output, because the output spoke to my existing knowledge of all the indivdual aspects. The AI simply made my thinking coherent.

What I am saying is, it is possible to deploy AI in ways that minimise or even remove the need for verification when the AI is tasked with providing a logical summary of individual points of knowledge that in themselves are well known / well established.

Don't get too hung up on verification. Yes, verification is important when asking AI to supply facts or data. But there are a lot of useful tasks for AI that may not necessarily involve raw facts or raw data.
 
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Don't get too hung up on verification. Yes, verification is important when asking AI to supply facts or data. But there are a lot of useful tasks for AI that may not necessarily involve raw facts or raw data.
Not sure I agree with this. The AI Tool has zero understanding of the facts. It just regurgitates what it has pulled from other sources - sources which can be tainted. There is always a need to verify.
 
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I'm with @numbersrule here; because if you are supplying the data and asking the AI tool to work with that data, then you know what it is working with.
Exactly the same as if you gave all that data to a work colleague and asked them to do the same. You trust your colleagues output when they present it to you, why would you not trust the AI tool to do the same?

If you don't trust someone else to do the grunt work for you then you might as well continue to do it all yourself; but then that stunts your company growth limiting your business ability to expand to no more than what you are capable of doing yourself as an individual.
 
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It has been reported many times that even with guardrails AI tools will ignore your instructions and pull in data from external sources. That’s built into their design.

If you have your own airgapped LLM that’s different. But using a publicly accessible LLM means you have less control of the data used for the analysis.

I’m not suggesting you go through the output line by line but you should at least verify any summaries and suggestions. I’d do the same for a report a colleague created for me.
 
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Here's someone who shares most of my views on AI

https://www.youtube.com/watch?v=Lf5oqGOCRCM


And here's a (cough cough) AI-generated summary of the video. Just the first 4 bullet points.

The Nature of the AI Industry​


  • Generative AI is characterized as a deceptive industry that misleads the public by marketing software as magical and revolutionary while it remains expensive, unprofitable, and unreliable .
  • Contrary to claims of massive economic growth, major AI companies operate at significant financial losses, with OpenAI reportedly losing $20.9 billion in the previous year 44s.
  • There is no economic data to support the assertion that AI will replace all human jobs, and the industry's focus on competing with China is described as a distraction from the reality that these models are already widely accessible 58s.

Financial and Operational Concerns​


  • The business model of leading AI companies is described as a circular financial arrangement where major tech firms provide massive funding to unprofitable entities like OpenAI and Anthropic, which then report that funding as revenue 4m34s.
  • Publicly traded companies in the sector often fail to disclose specific AI-related revenues, instead relying on inconsistently defined "annualized run rates" to report performance 5m35s.
  • The industry has invested over a trillion dollars in capital expenditures, such as data centers and specialized GPUs, yet these investments are not yielding proportional financial returns 6m22s.

Infrastructure and Resource Demands​


  • AI data centers require immense amounts of power, with projects like the Stargate Abilene facility in Texas designed to consume 1.2 gigawatts of electricity 7m3s.
  • This power consumption is highly concentrated, with the Stargate facility projected to use more energy than the city of Bristol while occupying a significantly smaller physical footprint 7m19s.
  • Due to the high costs of these infrastructure projects, many companies are increasingly relying on debt to fund their operations as they plan to spend another trillion dollars in the coming year 7m41s.

Adoption and Usage of Generative AI​


  • Generative AI tools have experienced rapid adoption, with hundreds of millions of users utilizing them daily for various tasks 8m9s.
  • This widespread usage is driven in part by the integration of AI features into ubiquitous software like Google Docs, Microsoft Word, and Amazon, which some characterize as a non-consensual push of technology 8m45s.
  • Media narratives emphasizing the necessity of AI to remain competitive in the workforce have further incentivized user adoption 9m5s.
  • While AI is frequently used for search-like queries, critics argue that the current scale of investment is disproportionate to the technology's actual utility and that it functions as a "directionless" effort to force growth 9m16s.
  • The prevalence of low-quality "AI slop" on the internet is viewed as an evolution of previous search engine optimization (SEO) practices that prioritized ranking over content quality 11m27s.
 
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