AI journal / Updated 4 June 2026
Current AI news, practical ways to use the tools, and honest guidance for companies deciding where artificial intelligence can improve real work.
The latest
As of June 2026, the important change is not another chatbot launch. Businesses are moving from casual experimentation toward governed AI systems that can support repeatable work.
2 June 2026
Microsoft argues that successful organisations will be the ones that connect AI to governed workflows, clear responsibilities, useful data, and continuous improvement rather than collecting isolated demos.
Read the Microsoft articleMay 2026
Microsoft's latest diffusion report estimates global working-age AI usage rose from 16.3% to 17.8% during the first quarter of 2026. Adoption is growing, but access remains uneven between countries.
Read the diffusion report2026 AI Index
Stanford's 2026 AI Index reports that 88% of surveyed organisations use AI in at least one function and 79% use generative AI. The strongest adoption appears in knowledge work, software, marketing, and customer engagement.
Open the Stanford report2025 global survey
McKinsey found that AI use is widespread, but only around one-third of respondents said their organisations had begun scaling AI programmes. Reliable processes remain the difficult part.
Read the McKinsey surveyWhy companies use AI
Companies do not need AI everywhere. They need it where it removes friction, improves access to knowledge, or helps people make better decisions.
Summarise documents, classify enquiries, prepare first drafts, extract data, and handle routine administration.
Help staff find answers across policies, project files, product information, and internal guidance.
Draft responses, route requests, surface useful information, and make support available outside normal hours.
Research audiences, generate ideas, adapt content, analyse feedback, and test clearer messaging.
Use AI to investigate code, scaffold features, write tests, document systems, and review changes.
Compare information, identify patterns, explain options, and give people a stronger starting point for judgement.
How to use AI at work
Start with work that is repetitive, time-consuming, and easy for a person to check. Do not begin with a vague goal such as "use AI across the company".
Decide what success means: less time spent, faster responses, fewer mistakes, better content, or more completed enquiries.
Explain the audience, goal, constraints, source material, desired format, and examples of good work. Better context usually matters more than clever prompt tricks.
AI can produce confident errors. A named person should review important output, protect sensitive information, and remain accountable for the final decision.
Save successful instructions, record failure cases, measure the outcome, and only expand the workflow once it is dependable.
Our workflow
I use Codex because it works directly with a real codebase. It can inspect files, understand existing patterns, make focused changes, run checks, and show exactly what changed.
That makes it useful for practical engineering work: investigating bugs, building features, improving accessibility, checking links, writing tests, reviewing code, and removing obsolete files. It is more useful than simply pasting isolated snippets into a chat window.
Codex does not replace judgement. I still decide the goal, review the implementation, verify the output, and remain responsible for what reaches production.
How OpenAI describes CodexUse AI responsibly
Know what information enters the tool, where it goes, how long it is retained, and who can access it.
Require human review where errors could affect customers, money, safety, compliance, or reputation.
Tell people when AI materially affects the service or decision they receive.
Do not confuse usage with success. Track whether the workflow becomes faster, better, or more reliable.
Maintain source data, documented processes, and a way to work when the AI tool is unavailable.
Practical AI for your business
We can review your website, content process, or digital workflow and identify where AI could save time without adding unnecessary risk or complexity.
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