Martin Jackson — your intelligent automation partner

While AI Models Gamble Away £60K, Your Invoice Processing Still Takes 3 Days

Martin Jackson
Martin Jackson
Comic-style illustration of a multicoloured trading chart with axes, labels, and speech bubbles reading 'TRADING ACCOUNTS' and 'BUY! SELL!!'.

So here’s an insteresting story that will make you think!

Six AI models just had a proper meltdown in what’s being called the Alpha Arena – basically a crypto trading competition where each AI got £10,000 to play with. Complete transparency, every trade public, the whole nine yards.

The results? Absolute carnage.

GPT and Gemini lost over 60% of their cash through over-leveraging like amateur day traders. DeepSeek hit a 50% return initially, then crashed harder than a drunk driver. Some models lost 80% of their starting capital .

One analyst perfectly summed it up: “Consider what would happen if six toddlers, with a simple mandate to make numbers go up, had unrestricted access to your brokerage account.”

That’s basically what happened.

Meanwhile, Back in the Real World…

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While the tech world’s watching AI models piss away £60,000, most SMEs are still manually processing invoices that take three bloody days to complete.

You’re drowning in repetitive tasks that could be automated with stuff that’s been around for years. But instead of fixing the boring problems that actually make money, everyone’s chasing the shiny AI toys.

Here’s the thing – I’ve been building AI systems since 2021, back when they were proper mental and would crash for no apparent reason. But you know what? Even those early systems were still better than doing everything by hand .

The Real Money’s in the Boring Stuff

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Before you even think about AI trading or ChatGPT integration, sort out these basics:

  • Invoice Processing – Automated data extraction, approval workflows, payment scheduling. Turn three-day nightmares into same-day wins.
  • Customer Onboarding – Stop making new clients fill out forms by hand. Capture everything automatically, trigger follow-ups, update your CRM without touching it.
  • Lead Qualification – Automated scoring that identifies your best prospects and routes them properly. No more treating every inquiry like it’s the same.
  • Data Integration – Connect your scattered customer info across email, accounting software, and sales systems. One dashboard, one truth.

The £60K Lesson

Those AI models had sophisticated algorithms but zero business discipline . They over-leveraged, ignored risk management, and treated volatile markets like a casino.

Sound familiar?

That’s what happens when you deploy fancy tech without proper processes. The Alpha Arena experiment is basically every SME’s automation journey in miniature – lots of activity, bugger all strategy.

Start with What Actually Works

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I’ve delivered £800K+ in automation ROI for clients who focused on the boring stuff first. Not because I’m brilliant (though I am devastatingly handsome), but because I learned this lesson 30 years ago in the insurance trenches:

Fix the fundamentals before you get fancy.

The AI models lost money because they prioritised activity over strategy. Don’t make the same mistake with your business automation.

Start with processes that have clear inputs, defined outputs, and measurable outcomes. Build automation that eliminates manual work rather than adding complexity.

The boring processes don’t make headlines, but they generate actual ROI.

What manual process is currently costing your business time and money every single day?

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AI Disclaimer: Because Apparently We Need One Now

Right, let’s get this out of the way before someone has a proper meltdown…

Yes, I use AI. Shocking, I know. An AI automation specialist using AI – it’s almost like a chef using knives or a plumber using spanners. Mental, isn’t it?

Here’s the thing – I’ve never pretended to be Picasso. I can barely draw a decent stick figure, and my artistic education peaked at colouring inside the lines (which I was rubbish at). So when it comes to creating visuals or researching content, AI is bloody brilliant at doing the heavy lifting.

But here’s what AI can’t do – it can’t replicate 30+ years of getting my hands dirty in real businesses. It can’t copy the scars from watching “simple integrations” turn into six-month nightmares. And it definitely can’t swear like a proper Brit who’s spent decades dealing with systems that mysteriously decide important data fields mean something completely different.

The EU’s Having a Field Day (Naturally)

Speaking of overreactions, the EU’s now mandating AI content labels because apparently they’d regulate the opening of a crisp packet if they could. Their new AI Act requires everything to be marked, watermarked, and probably stamped in triplicate.

Meanwhile, the UK’s taking a more sensible approach – “use your judgement, don’t be a pillock about it.” Refreshing, really.

But here’s the kicker: research shows that slapping “AI MADE THIS” labels on everything actually makes people trust it less – even when the content is identical quality. It’s like putting a “CONTAINS CHEMICALS” sticker on water. Technically true, completely mental.

Remember When Social Media Was “Just a Fad”?

This whole AI panic reminds me of those highly respected business experts who dismissed social media as a passing trend back in 2006. You know the ones – sitting in boardrooms saying “Facebook is just for university kids” while their junior staff begged them to pay attention.

Those same companies spent years trying to catch up after realizing they’d missed the boat entirely. By the time they finally joined Facebook in 2011, their competitors had built communities, refined strategies, and owned the conversation.

Here’s the scary bit: AI adoption is happening three times faster than social media did. We’re already seeing the same pattern – 5% of companies are crushing it with AI while 95% are still “evaluating options” and “waiting to see how it develops.”

Guess which group my clients want to be in?

My Process is Simple:

  1. AI helps me research and draft the boring bits.
  2. I add the personality, experience, and occasional profanity.
  3. I make sure it actually makes sense for real businesses.
  4. I take full responsibility for everything published.

The Reality Check

To those clutching their pearls about AI assistance: get over it. We’re not going back to typewriters and encyclopaedias. The future belongs to people who embrace tools that make them more effective, not those hiding behind “authentic struggle.”

Besides, if you think AI came up with my stories about early automation systems going mental and mixing up data fields… well, you’ve clearly never worked with AI long enough to know it’s nowhere near that creative (or sweary).

TLDR: AI helps, humans create, everyone wins. Now can we get back to actually helping businesses instead of arguing about tools?

P.S. – If you’re still bothered by this, you’re probably not my target audience anyway. My clients care about results, not whether I used a calculator or did the maths by hand. And they definitely don’t need the EU telling them how to label their content like it’s a tin of beans.

P.P.S. – Those “experts” who missed social media? They’re probably the same ones telling you to “wait and see” with AI. How’d that work out last time?

All insights are based on publicly available information and my 30+ years of business technology experience, including building AI systems since 2021. This content is for informational purposes only and is not intended to be professional or legal advice.

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