Guides
Guide: Entry-Level Role Stress Test
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.
Guides
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.
Signals
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.
The Chaos
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.
Guides
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.
Signals
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.
The Chaos
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.
Guides
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.
More AI Usage does not always equal more AI Value, it can bring value but the speed is moving faster than most organisations can absorb. Value discipline is needed to ensure realistic value and ROI estimations.
Playbook helps separate soft benefits, useful productivity, exit-rate value, and bankable impact. AI programs often count activity, usage, or claimed time savings long before the business can bank value. The missing discipline is a value ledger that links AI activity to an actual business mechanism.
Use this playbook to help review conditions to be met before an AI workflow, copilot, automation, or agent is allowed to move from pilot into live use.
AI will impact jobs but not in a linear way. Use this Signal linked to the Agent or Not? Playbook to understand how mapping the work increases job impact visibility.
Exploring the Modern enterprise workplace from Operator lens with something for everyone interested in modern enterprise. Guides, Signals, Playbooks and Chaotic blue blob.
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.
Discovery: Inside existing databases, forms, reports, integrations and a few old workflows, a new addition, AI infrastructure is new resident.
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.
A mature enterprise vendor known for databases, applications and old corporate systems now speaks loudly about AI infrastructure.
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?
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.
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 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.
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