Mercia AI - Simplifying AI for You

22/08/2026

The 2026/27 Premier League season is underway—and artificial intelligence is becoming part of how the competition is analysed, officiated and experienced.

Clubs now receive tracking data with less than a second of delay. Semi-automated offside technology is being refined, AI assistants are helping supporters explore decades of football history, and the new Fantasy Premier League Companion can provide personalised decision support.

But the most important point is what AI isn’t doing: replacing managers, analysts or match officials.

Our updated article examines where AI is genuinely being used, where deployment is only beginning and why human judgement still matters.

Read it here:

Updated for the 2026/27 season: This article was originally published before the 2025/26 campaign and has been revised to reflect the launch of the FPL Companion, continued development of the Premier League Companion and improvements to semi-automated offside technology.The 2026/2027 Premier League....

22/08/2026

Four AI models made the same prediction before Formula One’s 2026 reset: George Russell would win the Drivers’ Championship.

Eleven Grands Prix later, Kimi Antonelli leads the standings and Russell sits third. But Russell has just won the Dutch Grand Prix Sprint, giving tomorrow’s race a timely new checkpoint for that original forecast.

That does not prove the models right—or wrong.

It demonstrates why predictions should be tested as new evidence arrives, rather than treated as fixed answers.

Our original analysis examines why four different AI models converged on Russell, which assumptions influenced them and what could cause the consensus to fail.

Read the analysis:

https://www.merciaai.com/post/f1-2026-when-four-ai-models-agree-in-a-reset-year?utm_source=facebook&utm_medium=organic_social&utm_campaign=sports_dutch-grand-prix_2026-08-23&utm_content=facebook_post

When several models agree, does that make you more confident—or more curious about what they might all be missing?

Last year, I asked four AI systems to predict the 2025 Formula One World Drivers’ Champion. All four selected Lando Norris. When he went on to win the title — narrowly — the experiment looked like a clean validation of data-driven forecasting under stable regulations.But 2026 is different.The ...

12/08/2026

When I started the Mercia AI blog, I expected to write about AI developments. After reaching 100 posts, those updates evolved into deeper questions about work, local AI, sport, forecasting, infrastructure and community.

These reflections also helped shape Mercia AI itself. It has been a fascinating way to explore how this technology affects our daily lives and local areas.

Read the full reflection:

After 100 Mercia AI blogs, founder Christopher Howell reflects on what local AI, work, sport, forecasting, infrastructure and community taught him about using AI responsibly.

29/07/2026

AI can feel like a maze of tools, claims and jargon.

If you’re curious about what AI could realistically do for your business or career, Mercia AI’s free 15-minute AI Discovery Call is a simple first step.

It’s a short, no-obligation conversation—not a consultation. We’ll explore your situation, the opportunities worth considering and whether Mercia AI is the right fit.

Book your call:
https://www.merciaai.com/service-page/ai-discovery-call

Eligibility restrictions apply. Please check the booking terms.

19/07/2026

The 2026 World Cup final is here—but AI’s role goes far beyond predicting whether Argentina or Spain will win. From rapid highlights and match analysis to officiating technology and personalised coverage, AI is helping shape how millions experience the game.

The 2026 FIFA World Cup is not just a football tournament. It is one of the largest live media operations ever attempted, spanning 48 teams, 104 matches, 16 host cities and three host countries. Every match generates an enormous volume of content that needs to be captured, processed, translated, ana...

18/07/2026

AI can explain mortgages, pensions, tax and investments in remarkably clear language.

But it does not know your full financial circumstances—and a confident answer is not the same as regulated financial advice.

Our latest Mercia AI blog looks at where tools such as ChatGPT, Claude, Gemini, Copilot and Perplexity can genuinely help with money questions, where the risks begin, and when it is time to speak to a qualified professional.

Read AI Knows a Lot About Money — Just Not Yours:
https://wix.to/MFj3WBB

AI assistants can explain mortgages, pensions, tax, investments and business finances in remarkably clear language.That does not mean they understand your financial circumstances.Tools such as ChatGPT, Claude, Google Gemini, Microsoft Copilot and Perplexity can be useful starting points when you are...

18/07/2026

The final two matches are here. Before the 2026 World Cup ends, explore how AI has influenced predictions, broadcasting, tournament planning and the wider fan experience.

AI, data and football meet in Mercia AI’s World Cup 2026 blog series, covering AI predictions, tournament technology and decision-making.

13/07/2026

Four AI models predicted the 2026 World Cup before the tournament.

All four selected the same semi-finalists:

Spain
France
England
Argentina

That is now the exact semi-final line-up.

They also unanimously named Norway as the dark horse and Brazil as the biggest disappointment. Norway reached the quarter-finals after eliminating Brazil, before losing to England.

AI cannot predict football with certainty—but this was an unusually strong set of forecasts.

Read the original prediction blog and see what the models got right, what remains unresolved, and what this tells us about AI forecasting.

https://wix.to/W6WKn4k

Tournament update: All four AI models correctly predicted Spain, France, England and Argentina as the semi-finalists. They also unanimously identified Norway as the dark horse and Brazil as the likely biggest disappointment. Norway reached the quarter-finals and eliminated Brazil before losing to En...

04/07/2026

It’s British Grand Prix weekend — a good time to revisit one of our Formula 1 and AI posts.

In a reset year, predictions become harder. Teams, fans and models are all dealing with uncertainty, incomplete information and fast-changing evidence.

That is where AI gets interesting.

This blog looks at what happened when four AI models were asked to think through the 2026 F1 season — and why agreement between models does not always mean certainty.

Read the blog here:

Last year, I asked four AI systems to predict the 2025 Formula One World Drivers’ Champion. All four selected Lando Norris. When he went on to win the title — narrowly — the experiment looked like a clean validation of data-driven forecasting under stable regulations.But 2026 is different.The ...

04/07/2026

AI tools are getting more powerful — but they are also getting more expensive.

For small businesses, the answer is not always “use the biggest model” or “use the cheapest model”. The smarter move is choosing the right model for the right task.

Some work may only need a smaller, cheaper model. Other work still needs stronger tools, better privacy controls and human review.

New blog from Mercia AI:
"AI Is Getting Expensive: Should Small Businesses Use Cheaper Models?"

It covers AI costs, open-weight models, smaller proprietary models, model routing, local AI options, and the questions small businesses should ask before switching tools.

For the first few years of mainstream AI adoption, many people got used to a simple idea: pay a monthly fee, use the tool, and do not think too much about what each prompt costs.That period is starting to change. More AI tools are moving towards usage-based pricing, credits, tokens, premium requests...