Chaos: The Blue Blob and the Very Tall First Chair
Discovery: The Blue Blob found an entry-level desk with a senior-sized chair, the role title stayed small but the checklist did not. Where will this discovery lead us?
Discovery: The Blue Blob found an entry-level desk with a senior-sized chair, the role title stayed small but the checklist did not. Where will this discovery lead us?
This guide helps managers, HR teams, universities, early-career workers and team leads check whether a junior role is still designed for learning because AI may have changed the task mix.
Entry-Level job role requirement is now expected to supervise AI outputs. The first job is still called entry-level, but the role checklist is starting to look very experienced senior level.
Discovery: The Blue Blob found a robot at a desk, beside it, a person feeds it information while correcting the outputs. A new job it appears.
If humans are babysitting the AI, that time belongs in the AI cost story. AI is now common enough that a lot of hidden work is becoming the new normal.
The AI saves work dashboard often misses the human beside it is also working. AI outputs are getting faster, but people are spending time feeding context, checking answers, correcting mistakes, rerunning prompts and cleaning up results.
Discovery: The final content has a sticker, the prompts, edits, approvals and screenshots behind it do not. The Blue Blob has found the labelling gap.
A practical guide for content teams, comms, HR, legal and publishing workflows using AI. This guide helps teams define simple labelling rules for AI-generated and AI-assisted content. It is not legal advice.
Labelling becomes a workflow problem: it needs memory, ownership and simple rules before the final document gets shipped or implemented. AI labelling is not just about putting a sticker on the finished thing.
Discovery: AI said it saved time, but the second machine started printing review notes. The Blue Blob has located the work created from the time saved.
AI Workload Waste Audit: a practical check for extra review tax, rework, reruns and the hidden labour around AI outputs. This guide helps teams compare the visible AI benefit with the hidden labour sitting around it:
AI may not be saving work if it creates more work scope to supervise to increase confidence. The saving may not be real until the review, rework and approval work are counted.
The Chaos
Discovery: Inside existing databases, forms, reports, integrations and a few old workflows, a new addition, AI infrastructure is new resident.
Guides
A mature enterprise vendor known for databases, applications and old corporate systems now speaks loudly about AI infrastructure. This guide helps teams review vendor rebrands without becoming cynical or starry-eyed.
Signals
A mature enterprise vendor known for databases, applications and old corporate systems now speaks loudly about AI infrastructure.
The Chaos
The discovery is the cloud that requires power cables, water pipes, cooling units, backup generators, and an electrical substation, to function. What does this mean for the cloud?
Signals
Digital convenience hides physical inputs until demand grows large enough. The cloud is still on Earth linked to data centres, power contracts, cooling systems, grid queues, land, water and capital.
Guides
More prompts, models, agents and automation mean more compute. If a digital service promises endless scale, ask what real-world inputs it needs to keep running.
The Chaos
The discovery is the same energy appears to have been re-discovered again but with a bigger market story. AI Total Addressable Market growth opportunity is currently hot.
Signals
The future is digital until the power bill arrives. AI stories now pull in companies that do not build models at all i.e. infrastructure builders can all point at AI
Guides
This guide helps readers test whether an AI infrastructure story has real substance or is mainly a dotted line from an existing business to a hot or hype market as AI demand is pulling more industries into the same story.
The Chaos
Discovery: AI Capable Company stickers found everywhere in the business district with different companies, but the companies still do the same thing they have always done. Interesting...
Guides
This guide helps founders, operators, investors and curious bystanders check whether a business has truly shifted because of AI or has mainly upgraded its vocabulary. AI Forward is also valid if conditions are met.
Signals
If every company becomes an AI company by touching an AI tool, the label may stop meaning much. The deeper questions about product, revenue, customer experience and capability often stay very familiar.