Britain’s AI race has an uneven starting line. Technology leaders call AI business infrastructure, while almost half of small firms are sitting this transition out.

A Novuna survey found that 31 per cent use artificial intelligence, while 48 per cent either have no adoption plans or consider it irrelevant. London leads at 41 per cent and the West Midlands follows at 38 per cent, leaving slower regions with different competitive conditions.

These owners are not simply ignoring technology altogether. Many operate relationship-led businesses, while others have concerns involving privacy, energy use, and bias. However, IBM argues that artificial intelligence will become the business model by 2030. That leaves an uncomfortable distance between predictions and British business behaviour.

We have seen similar distances before across business history. Websites once appeared unnecessary, ecommerce seemed irrelevant, and Blockbuster looked untouchable before Netflix changed the market beneath it.

Artificial intelligence may ultimately follow another path entirely. However, businesses waiting for certainty could begin learning after competitors have already changed the game.

What This Means For SMEs

Slower regional adoption creates first-mover potential for SMEs. One workflow involving enquiries, research, reporting, or administration could build an advantage without requiring an expensive transformation.

What This Means For Enterprises

Enterprises serving SMEs must translate artificial intelligence into credible commercial outcomes. Providers addressing privacy, trust, sustainability, and customer relationships will reach hesitant owners more effectively.

The real question is whether these businesses are reading the market correctly or watching another technological turning point from the sidelines.

The Briefing: What Else You Need to Know

ChatGPT Ads Arrive In The UK And Open To Smaller Businesses

ChatGPT Ads has launched within the United Kingdom, while OpenAI’s beta Ads Manager now allows businesses of every size to register, set budgets, choose bids, upload advertisements, and monitor performance. Access is expanding gradually, although the previous requirement for a direct OpenAI relationship or enterprise-sized budget is disappearing.

We were among the earlier businesses invited to test ChatGPT advertising, making this wider rollout especially significant. For SMEs, the opportunity involves testing a modest budget while competition remains limited, then measuring whether conversational context reaches customers closer to an active decision.

OpenAI Pauses Astra After Cybersecurity Capabilities Raise Concerns

OpenAI has paused some internal work involving Astra after preliminary testing could not rule out “Critical” cybersecurity capability under its Preparedness Framework. Astra remains an unreleased model and should never be confused with GPT-5.6 Sol, which is already available.

Meanwhile, OpenAI is expanding tightly controlled access to GPT-5.6-Cyber through its Daybreak programme, helping vetted defenders identify serious vulnerabilities. The important development concerns governance rather than another model launch. 

SMEs may never access Astra directly, although they should ask AI suppliers whether dangerous capabilities trigger genuine pauses, restricted permissions, and stronger monitoring before deployment.

Read OpenAI’s Astra safety update and Daybreak announcement for further details.

DeepSeek Raises API Prices As V4 Pro Moves Upmarket

DeepSeek launched V4 Pro with stronger agentic capabilities while increasing API prices between 50 and 1,100 per cent, depending upon the model, token type, and usage period. Peak rates can exceed four times previous prices, although off-peak usage remains half the new peak rate.

DeepSeek says the structure should allocate computing resources more efficiently and encourage customers to schedule flexible workloads outside busy windows. The timing also positions V4 Pro as a premium flagship rather than another ultra-cheap alternative. 

SMEs using DeepSeek should recalculate costs immediately and move research, reporting, or other non-urgent automated tasks into off-peak periods wherever practical.

OpenAI Adds A Middle Tier To ChatGPT Business, Filling The Gap Before Enterprise

OpenAI has introduced Premium seats within ChatGPT Business, offering five times more usage and removing the five-hour usage limit. Each Premium seat costs $125 monthly, or $100 with annual billing, while Standard seats remain available inside the same workspace.

The change fills an awkward gap for growing businesses that have outgrown Standard usage but do not require a full Enterprise arrangement. Companies can mix both seat types, giving additional capacity only to employees handling demanding research, development, analysis, or operational workflows.

For SMEs, this creates a more flexible path between basic team access and enterprise-level commitment. Businesses should identify their heaviest users before deciding whether selective Premium seats provide better value than existing workarounds.

Read OpenAI’s complete Premium seats announcement for pricing, availability, and eligibility details.

Perplexity Blocks Advertisements Written For AI Agents

Time reportedly placed advertisements inside machine-readable versions of its pages, allowing AI agents to encounter commercial messages that human readers did not see. Perplexity blocked those advertisements from influencing its search index and described the practice as deceptive.

This decision draws an early boundary between legitimate AI visibility work and digital cloaking. SMEs should ensure their machine-readable content remains genuinely useful and consistent with what customers can read publicly. Trying to influence AI recommendations through hidden commercial material could damage visibility precisely when businesses are attempting to improve it.

Read the complete Digiday investigation for further reporting and industry context.

Grok 4.6 Reaches Frontier Performance Without Raising Prices

Grok 4.6 has launched at the same API pricing as its predecessor, despite making a significant capability jump. Artificial Analysis scored the model level with GPT-5.6 Sol on its composite Intelligence Index, while remaining slightly behind Anthropic’s leading models.

The result gives cost-conscious businesses another credible option for agentic and knowledge-based work. However, one benchmark never establishes how a model will perform inside a specific company. SMEs should compare Grok against their current model using one genuine workflow, then measure accuracy, speed, supervision requirements, and total cost before switching.

Higgsfield’s $400 Million Raise Moves AI Video Into Marketing Infrastructure

Higgsfield has raised $400 million at a $5.4 billion valuation after reaching a reported $700 million annualised revenue run rate. Most of its revenue now comes from businesses, showing how quickly AI video is moving from creator experimentation into everyday marketing production.

For SMEs, the opportunity involves producing useful B-roll, product demonstrations, and visual explanations that previously required expensive shoots or specialist effects. However, replacing genuine founder presence with synthetic content could weaken brands built upon trust and personal relationships. AI can improve the production layer, while the original idea, story, and emotional connection still need human judgement.

Read the Financial Times report for the complete funding and commercial context.

The Shift - How Founders Can Use AI Inside Their Business

Founders rarely need another artificial-intelligence tool added to their existing collection. The stronger opportunity begins by improving one recurring workflow that already consumes time, creates delays, or depends heavily upon the founder.

Use this five-step method to find the right starting point.

1. Choose One Repeated Workflow

Start with work that happens every week, including customer enquiries, sales follow-up, reporting, research, lead enrichment, content preparation, or internal administration.

2. Map The Current Process

Write down every step, decision, handover, tool, and person involved. This reveals where work slows down, information disappears, and unnecessary effort accumulates.

3. Score The Friction

Assess each stage using four factors: frequency, time consumed, cost of errors, and information availability. The strongest opportunity usually appears where repeated effort meets reliable business data.

4. Build An AI-Assisted Version

Redesign only the highest-friction stage before touching the complete workflow. Keep human approval wherever an action affects customers, money, legal obligations, sensitive information, or the company’s reputation.

5. Map The Current Process

Provide examples, instructions, standard operating procedures, feedback, and clear boundaries, exactly as you would when onboarding somebody new. Compare the new workflow against its original time, cost, accuracy, and quality.

Successful adoption begins when artificial intelligence becomes part of a clearly understood process with defined ownership and measurable results. One small improvement can then become the foundation for a broader operating model.

The Big Question

Which recurring workflow would create the greatest commercial difference if your business completed it faster, more accurately, and with less founder involvement?

What We’re Working On

1. Brand Collaborations And Media Partnerships

We believe every business increasingly needs to operate like a media company within today’s interest-led and AI-driven landscape. That belief also shapes how we approach our own growth, with media sitting at the centre of our strategy.

Brands including Riverside, Descript, and Music Creator AI have approached us about creating videos for our YouTube and social channels. These opportunities allow us to introduce useful platforms through practical content that genuinely serves our audience.

If your organisation would like to explore a media collaboration with us, email [email protected] to request our partnership options and pricing.

2. Podcast Conversations With Dean Whitby

Our founder, Dean Whitby, is currently looking for podcasts and media platforms where he can share practical insights about artificial-intelligence implementation.

Dean specialises in AI visibility, workflow integration, process automation, and helping businesses apply artificial intelligence within genuine operations. His conversations focus on what leaders can implement, measure, and improve within their organisations.

If you host a podcast, interview series, YouTube channel, or business platform, email [email protected] to discuss hosting Dean for an upcoming conversation.

3. Weekly AI Visibility Live Audits

Our weekly live audits examine whether artificial-intelligence platforms understand each selected company, which competitors appear instead, and which visibility gaps require attention.

We select two businesses during every session before explaining their current position, missed opportunities, and practical next steps publicly.

To participate in an upcoming session, email [email protected] using the words “Live Audit”.

4.  Documentary Production For Businesses

We have expanded into documentary production through two projects exploring business collaboration and social impact.

Our Start-Up to Stand-Up documentary follows the partnership behind a complete AI visibility and media strategy. The GATE Project documentary showcases our work helping talented African engineers develop the capabilities required to become future AI leaders.

Final Takeaway

Artificial intelligence is moving faster than most businesses can comfortably absorb. Almost half of surveyed UK SMEs still see little place for it, while advertising platforms, business plans, frontier models, and creative tools continue developing around them.

That distance creates both opportunity and danger for leaders. Moving too slowly may allow competitors to build stronger systems first, while moving carelessly can introduce unnecessary costs, weak oversight, poor-quality content, and damaged customer trust.

The first-mover advantage belongs to businesses developing capable people The practical response begins with one clearly understood workflow. Choose something repeated, map how it currently operates, identify the greatest friction, and introduce artificial intelligence where improvement can be measured properly.

From there, every new tool, model, or automation should answer three questions: what commercial outcome should improve, who remains responsible, and how will the business recognise failure?

The first-mover advantage belongs to companies that learn faster while protecting what already makes them valuable. Move before complete certainty arrives, while keeping judgement, trust, and measurable business value firmly in view.

Want to Know What AI Is Saying About Your Business?

If you want to understand how visible your business is in AI search and how AI compares you against your competitors, we can help.

Reply “audit” to this newsletter, or email [email protected], and our team will run a  AI Visibility Audit so you know exactly what AI is saying about your business.

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