AI Reality Check — Issue 11

AI Reality Check - Issue 11

Friday 5 June 2026 | Kaye Nicholson | GrowthZone AI | growthzoneai.co.uk

I read everything so you don't have to.

Born analogue. Raised digital. 30 years of real business experience. Now explaining what AI actually means for work.

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1. Meta Is Building AI That Follows You Around

What happened: A leaked internal memo from Meta's VP of Wearables revealed the company's AI hardware roadmap. An AI pendant device with a camera will begin internal testing in spring 2027. New smart glasses will run sensors for hours, tracking your day, your environment, and your conversations. Meta AI will use this data to remind you about things throughout your day. There is also a corporate product called Wearables for Work in development.

Why it matters: AI leaving the screen and arriving on your body is the next phase. For businesses, this has two practical implications. First, the tools your customers and team use will increasingly follow them through the day, not just sit on a desk. Second, the privacy conversation is no longer theoretical. Cameras that run continuously and track daily activity represent a fundamentally different relationship between people and technology.

Who should care: Any business thinking about customer experience or employee tools over the next three years. Any business in a sector where privacy is a client expectation.

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2. Local AI Is Coming to Your Laptop

What happened: Microsoft and Nvidia jointly teased "a new era of PC" ahead of Computex in Taipei. The implication: AI running locally on consumer hardware rather than through cloud servers. Nvidia pushing into ARM-based laptops and desktops designed for AI inference. Also this week: Microsoft announced it is building its own AI coding model, reducing its reliance on OpenAI.

Why it matters: AI tools that currently require cloud connections, raise data sovereignty questions, and require subscription fees may soon run entirely on your own hardware. For businesses handling sensitive client information - professional services, healthcare, financial services, legal - this is potentially significant for compliance and privacy.

Who should care: Any business with data privacy obligations. Any business that has hesitated to adopt AI tools because of concerns about where data goes. Technology decision-makers planning hardware refresh cycles.

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3. Your Clients Are Using AI to Evaluate You Before They Call

What happened: Forrester research confirmed that 94% of businesses now use AI in their buying evaluation process. HubSpot's analysis of 14 million AI citations found that 62% are blog posts. The shift from SEO (search engine optimisation) to AEO (answer engine optimisation) is confirmed. Brands showing up in AI answers are publishing hyper-specific content that addresses the exact questions buyers ask, structured so AI can extract clear answers.

Why it matters: Before your potential clients contact you, they are running questions through ChatGPT, Gemini, and Perplexity. Either you appear in the answers or you do not. Your blog is not dead - it is now citation data. But its job has changed from driving traffic to proving to AI that you are worth recommending.

Who should care: Every business with a website. Every business that relies on being found online. Marketers and content creators. Anyone planning their 2026 content strategy.

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4. Google's AI Spelled "Google" Wrong

What happened: Google's AI Overviews were caught this week confidently telling users there are two Ps in the word "Google." The same system added extra letters to other words and invented characters in "journalism." All presented in the same confident, authoritative tone as correct answers.

Why it matters: AI does not signal uncertainty. It states things confidently whether right or wrong. The confidence of an AI output is not an accuracy indicator. Every AI output needs human review before it goes anywhere - not a skim but a check.

Who should care: Every business using AI to generate content, research, or client communications. Anyone who has been in the habit of trusting AI output without reviewing it carefully.

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5. Tool of the Week: HubSpot AEO Sensor

What happened: HubSpot's free AEO Sensor tool at hubspot.com/aeo-sensor analyses your website and shows how you appear in AI search across ChatGPT, Gemini, and Perplexity. It surfaces the questions your buyers are asking.

Why it matters: The first step in improving your AI visibility is understanding your current position. Most businesses have no idea. This tool shows you in minutes.

Who should care: Any business with a website that relies on being found by new customers.

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This week in one sentence: AI is going on your face, coming to your laptop, already being used to evaluate your business, and still cannot spell Google.

Born analogue. Raised digital. 30 years of real business experience explaining what AI actually means for work.

— Kaye Nicholson | GrowthZone AI | growthzoneai.co.uk

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