Wole

Founder & CEO @plotweaverapp. Build once, speak every language — production-grade voice AI for storytellers. Author, Mastering Agentic AI (Manning).

[Wole @wolefizzy]

Short answer: not yet.

Let me explain.....

While the UK has a strong AI research ecosystem, but it sits well behind the US and China on the things that actually produce frontier foundation models: scale, compute, capital and commercial deployment.

The US has OpenAI, Anthropic, Google DeepMind, Meta AI and xAI. China has DeepSeek, Alibaba's Qwen, Zhipu AI and others training frontier-scale models.

The UK's biggest success story is arguably DeepMind, but it's now part of a US company. Beyond that we have genuinely strong companies like Wayve, Synthesia, ElevenLabs and Stability AI, but none of them currently operate a frontier general-purpose LLM at the scale of GPT, Claude, Gemini, DeepSeek or Qwen.

The reason is mostly money and infrastructure. Building at the frontier runs into tens of billions, sovereign-scale compute and the willingness to fund long, expensive training regimes. The most viable UK innovation ends up acquired, relocated or dependent on US capital and cloud.

In April 2026 the government launched a dedicated Sovereign AI Unit: a £500 million vehicle to invest directly in UK AI companies and back them with compute, infrastructure and datasets.

The first equity cheque went to Callosum, an AI infrastructure startup. Six others got access to the national AI Research Resource (up to a million GPU-hours each): Prima Mente (biological foundation models for brain disease), Cosine (autonomous software agents), Cursive (agentic AI systems), Doubleword (sovereign inference infrastructure), Twig Bio and Odyssey.

Useful but you will notice what isn't on that list: a general-purpose LLM lab.

It's not all gloomy. Here's what the UK is actually trying to do:
1. Build sovereign compute (supercomputers, AI Growth Zones).
2. Back a small number of UK AI champions.
3. Provide GPU access and capital through the Sovereign AI Unit.
4. Reduce dependence on foreign AI infrastructure over time.

Britain is striving to create its own version of France's support for Mistral. The problem is scale, France has mobilised around €109 billion in AI commitments; the US is putting $52 billion through the CHIPS Act alone.
Against that, £500 million or £20 million per company, which is what a VC already called "a drop in the ocean."

The fund size and spread negates the "Mistral moment" the UK badly wants and needs.

If Britain is serious about AI sovereignty, it will eventually need one or two companies training large foundation models from the UK, with billions in capital and dedicated compute behind it, backed aggressively.

Until that happens, the answer stays "not yet."

[🌍 A! @yemialabip]

At this point, do we have any UK AI models that are even close to the scale or capability of the US or China Ai models, or are we just doing research rather than outcomes? @wolefizzy is there any UK AI lab building one at all?

[Michael Taiwo @AskMichaelTaiwo]

For my first five years in corporate America I had no promotion.

Then in my next five, I had three.

Same me. Same company. Different results.

What changed? 👇

[Wole @wolefizzy]

📌📌📌

[ＤＯＣＴＯＵＲ @wakawaka_doctor]

This is how you can use CLAUDE AI to get jobs abroad

[Wole @wolefizzy]

There are two variables in life: opportunity and preparation. Opportunity shows up eventually. Preparation doesn’t happen by default. If you don’t build it, you miss the moment.......when the two converge, that’s when everything changes.

[Habdulakeem Bhadmus @Mrbhadoosky]

I applied to Google about 30 times, I got in the 30th time. If you don’t have someone to motivate you, motivate yourself - Sodeeq Akintola

[Toyyib Adewale Adelodun @taadelodun]

Giving my first Tedx talk this week.
Grateful and Excited 🙏

Please keep going. Impossible is Nothing.

[Wole @wolefizzy]

📌📌📌

[Babatunde. O. @babatunde_o_a]

The first Nigerian to build a platform that lets you search every UK Skilled Worker visa sponsor.

✅ 125,572 verified sponsor companies

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✅ 13,526 people from 114 countries in 11 days

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One path to your visa. 🇬🇧

#firstnigerianchallenge

https://t.co/D2rhFENxAW Follow: @VisaPathUK

[Wole @wolefizzy]

@babatunde_o_a @Jomilojju 👏 👏👏

[Fawole John Oyeyemi @OyeyemiFawole]

Good stuff. Congratulations to you two.

[Wole @wolefizzy]

@OyeyemiFawole Thanks bro 👊

[Sai Yashwanth @yashwanthsai29]

This was a lot of hard hours of thinking, brainstorming and writing. And it has come to an end. Just a little more efforts and this will be done. One of the biggest (and longest) project of my life and it was fun. A lot to learn as well.

Our book goes tries to build a fundamental knowledge in making these llms agentic. A builder's intuition and principles are what we aim to solidify in this book.

Next few weeks will be amazing! I will be agressively promoting this book.

[Wole @wolefizzy]

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents

Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished.

We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do.

I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier.

That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences.

That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more.

In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant.

To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks.

Special thanks to @ManningBooks for giving our book a home.

[Toyyib Adewale Adelodun @taadelodun]

When I newly moved to the UK, a lot of us believed the maximum we could make was circa £2,000/month.

Until I got to the construction site and met a Chartered Engineer doing £600/day, an Electrician clearing £300/day! Ah!

My brain reset, kiakia, I went back to Uni at 30 to do Civil Engineering!

Abroad will be hard at the start, but it gets better with time!

[Toyyib Adewale Adelodun @taadelodun]

Huge Congratulations to you and everyone who contributed to make this happen. 🎊🎊🙌🙌🎉🎉

Agentic AI is here to stay. Knowledge is power👏👏🎊🎊

[Manning Publications @ManningBooks]

@wolefizzy @yashwanthsai29 Congrats!! Excited to get this one going 🥳

[Wole @wolefizzy]

@ManningBooks @yashwanthsai29 🚀🚀🚀

[Wole @wolefizzy]

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents

Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished.

We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do.

I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier.

That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences.

That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more.

In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant.

To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks.

Special thanks to @ManningBooks for giving our book a home.

[Wole @wolefizzy]

If you are serious about building a career as an AI engineer or want to understand how to build real world ai agents that scale....be on the look out for our book.

[Wole @wolefizzy]

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents

Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished.

We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do.

I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier.

That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences.

That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more.

In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant.

To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks.

Special thanks to @ManningBooks for giving our book a home.

[Wole @wolefizzy]

@FynCas See

[Wole @wolefizzy]

@TiffanyHillNhau @tkexpress11 Hi Tiffany, sent you a DM.