This is the map of the territory: the questions people genuinely ask about what increasingly capable AI does to human beings, grouped into the twelve areas this research covers. 180 of them so far, growing towards 500. Some are answered here, some are partly answered, and some are open, which means the question matters and this research has not yet earned the right to answer it. The open ones stay visible on purpose. A research programme that only shows you its finished work is a marketing site.
The questions are real questions, phrased the way somebody would actually type them into ChatGPT, Gemini, Claude, Perplexity or Google. They are not keyword variants. Where several questions resolve to one substantial answer, they point at the same page rather than at twelve thin ones.
Answered means a canonical page exists. Partial means the closest research covers part of it. Open means it is on the roadmap and not yet written. Last reviewed 26 August 2026.
Me and AI
How should I use it, and am I becoming dependent on it. · 15 questions, 5 answered
PartialAm I becoming too dependent on AI?
Dependency is not about how often you use it. It is about whether you could still do the work without it, and whether you have checked recently.
OpenHow much should I use AI at work?
Nobody answers this with a number, which is why the question keeps getting asked. Open: it needs the dosage question taken seriously rather than deflected.
AnsweredHow do I use AI without losing my own skills?
Keep the repetitions that build the capability you are paid for, and delegate the ones that do not. The hard part is telling them apart.
AnsweredWhat is cognitive offloading?
Using an external tool or action to reduce the mental demand of a task. Documented long before AI, and not automatically harmful.
PartialDoes using AI make me lazy?
The evidence points at something more specific than laziness: effort moves from producing to verifying, and verifying is a smaller space to think in.
AnsweredShould I write my own draft first?
Yes, and the reason is not discipline. You cannot notice where a machine's answer diverges from a position you never formed.
PartialWhat should I never delegate to AI?
Anything where the deciding is the point, anything you could not verify, and anything where being the author is what the work is for.
AnsweredHow do I know when AI is wrong?
Not from the output. Confidence is a property of writing style, not knowledge. The only reliable signal is knowing your own domain's failure patterns.
OpenWhy does AI sound so confident when it is wrong?
Very high prompt volume and mostly answered badly. Open: needs the mechanism explained properly rather than anthropomorphised.
PartialIs it cheating to use AI?
Depends entirely on what the work is certifying. If the artefact is the point, no. If your capability is the point, often yes.
OpenShould I tell people I used AI?
Open. The disclosure norms are forming now and will differ by context, which is exactly why a considered position is worth having early.
OpenWhat if I refuse to use AI?
Open, and worth taking seriously rather than mocking. There are defensible reasons to abstain and real costs to doing so.
AnsweredIs learning to prompt worth it?
Prompting is not scarce, not durable, and not the constraint. It is the most confidently given piece of weak career advice in circulation.
OpenHow do I keep my own voice when using AI?
Voice is an asset that erodes without anyone deciding to erode it. Open, and one of the most-asked everyday questions.
OpenShould I use AI before forming my own opinion?
The anchoring problem at personal scale. Once the model has spoken, the alternatives you never saw are gone.
Thinking
What AI does to the way we think, and what to keep doing ourselves. · 15 questions, 2 answered
AnsweredDoes AI weaken critical thinking?
The evidence is emerging rather than settled: three studies agree, and all three have design weaknesses. Agreement between weak designs is suggestive, not strong.
OpenWhat is critical thinking?
Open, and a gap. The AI argument rests on a concept the site has never defined on its own terms.
AnsweredDoes AI make everyone think alike?
Yes, and by making everyone individually better in the same direction. A social dilemma rather than a failure.
OpenWhat is metacognition?
Thinking about your own thinking. Underpins most of the learning cluster and is currently assumed rather than explained.
OpenWhat is cognitive load?
Sweller's framework. Open, and needed before any serious claim about what AI removes from a task.
PartialIs convenience making us think less?
The satnav and search-engine evidence is the closest analogue, and it is more equivocal than either side of the argument admits.
OpenWhat makes a good question?
Models answer well and have no questions of their own. Open, and arguably the most important thing on this list.
PartialDoes AI change how I remember things?
When people expect information to remain available, they remember where to find it rather than the thing itself. Established before AI.
OpenWhat is the Google effect?
Sparrow 2011, plus the replication problems that are rarely mentioned alongside it. Established concept, not a SuperSkills coinage.
PartialDoes AI reduce creativity?
Individually it raises rated creativity. Collectively it narrows the range. Whether that generalises beyond creative writing is unknown.
OpenWhat is confirmation bias, and does AI make it worse?
Open. A system that produces whatever framing you prompt for is a confirmation-bias engine, and almost nobody has written it up properly.
OpenHow do you change your mind?
Adjacent territory. Useful without AI in the question, and it is the mechanism the whole Challenge Register depends on.
OpenWhat is intellectual humility?
Adjacent. Increasingly the difference between people who use these systems well and people who do not.
PartialShould I still learn things I can look up?
You cannot verify an answer in a domain where you never built competence. That is the practical case for knowing things.
OpenDoes AI help or hurt problem solving?
Open, and the evidence is genuinely split by whether the task is inside or outside the model's competence.
Judgement
When to trust the machine, when to override it, and who is accountable. · 15 questions, 6 answered
AnsweredDoes AI weaken human judgement?
The flagship review. Capability weakens where practice stops, and confident output reliably suppresses scrutiny.
AnsweredWhat is automation bias?
The tendency to over-accept automated output. Two error types, omission and commission, and it appears in experts as well as novices.
OpenWhen should I override AI?
The override rule as a designed artefact, with aviation and clinical precedent. One of the highest-value open questions here.
PartialIs human in the loop enough?
The meta-analysis says the common configuration underperforms the stronger party alone. Review after generation is the weakest available design.
AnsweredWhat is human-AI collaboration?
A pairing with the division of labour, the human entry point and the override grounds specified in advance. Without those three, it is handover, not collaboration.
OpenWho is accountable when AI gets it wrong?
Open, and needs a liability map across jurisdictions rather than an opinion.
PartialShould humans always make the final decision?
Not automatically. Where the system is genuinely better, a human veto can subtract. The honest options are harder than they look.
PartialHow much verification is enough?
Verification is treated as administrative residue and priced accordingly, which is why it gets skipped rather than resourced.
OpenWhat is meaningful human oversight?
A term from the autonomous-weapons literature now appearing in regulation. Open, and increasingly commercially relevant.
AnsweredCan I use AI to check AI?
No. A South African judgment records a judge testing a fabricated citation in ChatGPT, which confirmed it was real.
OpenWhat is a hallucination?
Established term, and there is a reasonable case for retiring it. Open.
OpenWhat is algorithm aversion?
Dietvorst. The mirror image of automation bias, and the two are almost never discussed together.
AnsweredDo agents change the judgement question?
Autonomy moves the human decision earlier, from approving output to setting the boundary. Most organisations have not moved with it.
AnsweredWhat makes a good decision, as opposed to a good outcome?
The distinction most organisations collapse, and the reason bad processes survive when they get lucky.
OpenDoes explaining an AI's reasoning help?
Dzindolet found explaining how an aid can fail increased reliance on it. Open, and awkward for anyone whose safeguard is a disclaimer.
Learning
How children, students and adults acquire capability when the answer is free. · 15 questions, 1 answered
PartialDoes AI help or harm learning?
Both, and the interface decides which. The same model produced the best and the worst outcome in the same experiment.
AnsweredHow do you assess students when AI can do the assignment?
Not by detection. Sydney concedes prohibition is unenforceable; Denmark now requires oral defence of home-written exams.
OpenShould children use AI?
Open, and it needs age banding with the developmental literature kept separate from technology commentary.
OpenDoes AI detection work?
Open. The false-positive burden falls hardest on students writing in a second language, which is the part usually left out.
OpenWhat is desirable difficulty?
Bjork. Conditions that make study feel harder improve long-term retention. The mechanism underneath half of this research.
OpenWhat is productive struggle?
The education-facing sibling of desirable difficulty. Open.
PartialShould students still write essays?
The essay was never the point. What it certified, and whether anything else certifies it, is the real question.
OpenWhat happens to homework?
Open, and one of the highest-volume parent questions with almost no serious answers.
OpenHow should teachers use AI?
The workload case and the modelling case pull in different directions. Open.
OpenHow do adults learn with AI?
Distinct from students, and corporate learning is largely buying the wrong thing. Open.
OpenDoes corporate training still work?
Completion is not capability, and the sector knows it. Open, and pairs with the reskilling argument.
OpenWhat should schools teach now?
Curriculum, not tools. Open.
OpenIs my degree still worth it?
Needs graduate-premium data by field, post-2023, rather than sentiment. Open.
PartialHow do people become experts?
Through repetitions at the edge of current ability, with feedback, over years. Remove the repetitions and the mechanism has nothing to work on.
PartialWhat happens when people stop practising?
Capability does not disappear on a schedule anyone tracks. That is what makes it a debt rather than a cost.
Career
Whether the job survives, and what makes a person worth hiring. · 15 questions, 4 answered
AnsweredWill AI replace my job?
Almost certainly not as a whole. Task exposure and occupation exposure give different answers, and most commentary conflates them.
AnsweredWill AI replace entry-level jobs?
The exposure evidence is real, the causal evidence is not yet. Youth employment is sensitive to a lot of things that are not AI.
OpenWhich jobs are safest from AI?
Open, and the honest answer starts by explaining why the two standard methods give opposite rankings.
AnsweredHow do I stay valuable as AI improves?
By holding capabilities that appreciate rather than depreciate. Tool fluency is the fastest-depreciating asset on offer.
OpenShould I still learn to code?
Open, and the junior-developer hiring data cuts against the usage data in a way nobody has reconciled.
OpenWhat skills should I learn now?
The scarcity test matters more than the usefulness test: not what is useful, but what is hard to source.
PartialHow do I get experience if AI does entry-level work?
The rungs people used to climb are the ones most easily automated. What replaces them is genuinely unsolved.
OpenShould I put AI skills on my CV?
Signalling tool use is a depreciating claim. Open.
OpenHow do I prove I actually did the work?
Provenance is becoming a career asset. Open, and rising fast.
AnsweredWhat is synthetic seniority?
Output that looks senior produced by someone who has not done the work that makes senior judgement possible.
OpenHow do I future-proof my career?
Open, and the honest answer starts by rejecting the frame.
OpenIs freelancing safe from AI?
Open. The platform data is category-specific and more interesting than the headlines.
OpenWhat should I tell my children to study?
Very high prompt volume, almost no serious answers. Open, and near the top of the queue.
OpenWhat happens to mid-career professionals?
Too senior to retrain cheaply, too junior to be safe. Under-covered everywhere.
PartialDoes using AI make me more employable?
Less than the advice implies. What appreciates is the ability to judge the output, which is a different skill entirely.
Skills
What to learn, what becomes scarce, and what stops being worth much. · 15 questions, 9 answered
AnsweredWhat are human skills?
A contested term. Defined and defended here rather than assumed, because most usage is decorative.
PartialWhich skills become more valuable as AI improves?
Employer surveys say analytical and creative thinking. That is stated demand, not revealed price, and the distinction matters.
OpenAre human skills actually becoming scarcer?
Listed as unknown in the state of the evidence. Eight years of surveys are not the same as wage data.
AnsweredWhat are the seven SuperSkills?
Curiosity, empathy, big picture thinking, change readiness, global adaptability, principled innovation and an augmented mindset.
AnsweredWhat is an augmented mindset?
Working with capable machines without surrendering the judgement that makes the work yours.
AnsweredWhy does curiosity matter more now?
Because answers became cheap and questions did not. The scarce input moved.
AnsweredDoes empathy still matter at work?
Yes, and the evidence that AI is rated as more empathetic than clinicians makes the question sharper rather than settled.
AnsweredWhat is big picture thinking?
Holding the shape of a problem when every component can be generated separately and convincingly.
AnsweredWhat is change readiness?
The capability that decides whether a shift is absorbed or merely survived.
AnsweredWhat is global adaptability?
Working across contexts that do not share your assumptions, which is most of them.
AnsweredWhat is principled innovation?
Building things on purpose, with the consequences treated as part of the design rather than as an afterthought.
OpenWhat is skill atrophy?
Established term. Open, and needed as the definitional anchor for the deskilling cluster.
OpenWhat is deskilling?
Braverman to Bainbridge to now. Established, not a SuperSkills coinage. Open.
OpenCan you regain a skill you have lost?
Almost nobody asks this and it may be the most practically important question on the list.
OpenHow fast do skills decay?
Open. The aviation and clinical literatures have real answers that have not reached this debate.
Work
Which tasks belong to humans, which to machines, and how the split is decided. · 15 questions, 6 answered
AnsweredWhat stays human?
A narrower set than the optimists claim and a wider one than the pessimists allow. The boundary moves, which is the point.
AnsweredHow do humans and AI make decisions together?
Badly, by default. The evidence says the common configuration underperforms whichever party was stronger alone.
PartialShould I check everything AI produces?
Checking everything is not a policy, it is an aspiration. What matters is where the verification is placed and who is paid for it.
AnsweredIs usage the same as adoption?
No. Seat counts and prompt volumes measure activity. Nothing in them says capability changed.
AnsweredWhat is the unclaimed hour?
The time AI gives back that nobody designs a use for, and which therefore quietly disappears.
AnsweredWho gets credit when AI helped?
Recognition follows visible output, and AI makes output cheap to produce and hard to attribute.
OpenHow do you redesign a job around AI?
Open, and needed as a method with a worked example rather than a principle.
OpenWhat happens to middle management?
Open, and asked constantly.
OpenHow do you run a meeting when AI attends it?
WATCH. Genuinely new, and moving fast enough to be worth watching before writing.
OpenWhat happens to institutional memory?
Tacit knowledge that was never written down and now never gets transferred person to person. Open, and underrated.
OpenShould we cut headcount because of AI?
Open, and the useful version names the cases where it destroyed capability.
OpenHow do you hire when everyone uses AI?
Assessment, but for employers. Shares its evidence base with the education cluster.
AnsweredWhat is the verifier's discount?
Verification is skilled work priced as administrative residue, which is why organisations get less of it than they think they bought.
PartialDoes AI help experienced or inexperienced workers more?
The gains skew towards the less experienced in four independent settings. Whether that is good news depends on what happens to the experienced.
OpenWhat is AI literacy, and is it the right goal?
Open, and the answer this research would give is contrarian: literacy framing produces tool training and calls it capability.
Leadership
What leaders and boards must stay capable of doing themselves. · 15 questions, 7 answered
AnsweredHow should leaders respond to AI?
Not with a tool rollout. The decisions that matter are about capability, accountability and what the organisation stops doing.
OpenWhat should a board ask about AI?
Open, and near the front of the queue. Twelve questions, each with the answer that should worry them.
OpenWhat does AI literacy mean for leaders?
Open, and increasingly a regulatory obligation rather than a nice-to-have.
AnsweredWhat is the AI readiness lie?
Readiness assessments measure intent and infrastructure. Neither predicts whether capability survives contact with the tools.
AnsweredIs this drift or design?
Most organisations are not choosing. They are accumulating decisions that were never made, which is drift with a strategy document attached.
OpenWho owns verification when AI does the work?
Open, and one of the sharpest unanswered accountability questions.
OpenHow should decision rights be allocated?
Open. Needs to be a framework rather than an essay.
AnsweredWhat should a CHRO do first?
Not procurement. The first move is knowing which capabilities the organisation cannot afford to lose.
PartialHow do you measure AI adoption properly?
By capability change, not seat counts. Almost nobody does, because the seat count is the number that is easy to get.
OpenWhat does an AI-capable manager do differently?
Open.
OpenHow do you write an AI use policy that works?
Most are unenforceable. Open, and the enforceable version looks quite different.
OpenShould leaders use AI themselves?
Open, and the executives-consuming-machine-summaries problem sits underneath it.
AnsweredWhat is capability debt?
Capability an organisation has stopped maintaining but still assumes it has. It comes due when the system fails or the question is novel.
AnsweredIs AI a change management problem?
No, and treating it as one is why so many programmes produce activity without capability.
AnsweredWhat goes wrong in AI transformations?
The same things, repeatedly, and almost none of them are technical.
Organisations
Redesigning jobs, teams and decisions without quietly losing capability. · 15 questions, 7 answered
AnsweredWhat is an AI workforce strategy?
A plan for which capabilities the organisation builds, buys, keeps and deliberately lets go. Most are procurement documents.
OpenHow do you keep juniors when AI does their work?
Open, and the honest version includes why the business case is hard to make.
AnsweredWhat are the missing rungs?
The steps people used to climb to competence, which happen to be the ones most easily automated.
AnsweredWhat are missed reps?
The repetitions that never happened, and the judgement that therefore never formed.
PartialDoes AI reduce or increase headcount?
The measured aggregate effects so far are much smaller than the discussion implies. Firm-level adoption is lower than individual use.
AnsweredHow do you avoid capability debt?
By deciding what you are keeping before you decide what you are automating. That ordering is the whole intervention.
AnsweredWhat is usage theatre?
Activity that looks like transformation and is measured as transformation, without any capability changing.
OpenHow do you brief a team when AI drafts everything?
Open.
OpenDoes AI change team decision-making?
Open, and the group version of the convergence finding is unstudied.
OpenHow do you audit an AI-assisted decision?
Open, and increasingly required rather than optional.
OpenWhat does good look like a year in?
The maturity question, and it deserves an answer that is not a maturity model.
OpenWhat about small organisations?
Open. The research estate over-indexes on large employers, including here.
OpenWhat about the public sector?
Distinct constraints and distinct evidence, mostly ignored. Open.
AnsweredHow do four generations work together on this?
Each generation built capability under different constraints, and the differences are more useful than the stereotypes.
AnsweredIs AI hype or doom?
Neither, and the two positions need each other more than either admits.
Talent
Graduates, apprentices, juniors, and how expertise gets made. · 15 questions, 1 answered
PartialIs the graduate job market changing because of AI?
The exposure signals are real across several countries. The causal evidence is not there yet, and this page says so.
AnsweredWhat is synthetic seniority?
The gap between output that looks senior and the judgement that normally produces it.
PartialHow do you develop juniors now?
By deciding which repetitions are development rather than cost. Most organisations have never made that distinction explicitly.
OpenDo apprenticeships still work?
Open, and the German and Swiss models deserve better than a passing mention.
OpenWhat happens to medical and legal training?
Open, and these are the two professions where the deskilling evidence is furthest advanced.
OpenWho supervises work they cannot do themselves?
WATCH, and possibly the sharpest emerging question in this territory.
PartialDoes AI widen or narrow the gap between best and worst?
It narrows performance gaps in several studies. Whether it narrows capability gaps is a different question and not the same finding.
OpenWhat does a career look like without a junior tier?
Open, and needs modelling rather than assertion.
OpenHow do you assess capability rather than output?
Open, and the single most requested practical thing in this territory.
OpenAre we losing tacit knowledge?
Open. Polanyi is the anchor and almost nobody in this debate has read him.
OpenWhat is deliberate practice?
Ericsson, plus the meta-analytic challenge that weakened how much it explains. Both belong on the page.
PartialDoes experience still count?
Experience that produced judgement counts more. Experience that produced familiarity counts less than it used to.
PartialHow do you keep expertise in an organisation?
By maintaining it deliberately. Expertise is a stock that depreciates, not an asset that sits still.
OpenWhat happens to the apprenticeship model?
Open.
OpenShould juniors use AI at all?
Open, and the answer is almost certainly not a simple yes or no.
Everyday life
The same questions, outside work, where most of the volume actually is. · 15 questions, 0 answered
OpenShould I let AI make personal decisions for me?
Some decisions are constituted by the deciding. Outsourcing those removes the thing you wanted. Open.
OpenShould I use AI to write personal messages?
The apology and condolence cases are where this gets interesting, because effort is the signal being sent.
PartialDoes using AI change my creativity?
At population level it narrows the range. At individual level the evidence says your output improves, which is exactly what makes it hard to notice.
OpenShould I use AI for relationship advice?
Open, and it needs care: there are cases where it genuinely helps and cases where it substitutes for a person who should be told.
OpenShould AI remember everything about me?
Memory as convenience versus memory as leverage. A distinct question from privacy, and less well covered.
OpenDo I still need to remember things?
Sparrow and Risko applied to a life rather than a job. Open.
OpenShould I let AI summarise everything I read?
The summary is not the thing. Open, and the reading-comprehension evidence is relevant and under-used.
OpenHow much should teenagers use AI?
Open, and worth writing for the teenager rather than about them.
PartialShould I let AI write for me at all?
It depends entirely on whether being the author is part of what the writing is for.
OpenIs it bad to talk to AI when lonely?
WATCH. Genuinely difficult, and it deserves evidence rather than instinct before anything is published.
OpenShould I use AI to help with parenting decisions?
Open.
OpenDoes AI change how children develop?
WATCH. The evidence base is thin, and this should not be published until it is not.
PartialShould I trust AI health information?
Chatbot responses have been rated higher quality and more empathetic than physicians in one study. Neither of those is the same as correct.
PartialWhat do I lose if AI does the boring bits?
Sometimes nothing. Sometimes the boring bits were where the pattern recognition was being built.
OpenHow do I raise a child who thinks for themselves?
Open, and it does not need AI in the question to be a human capability question.
Evidence and the wider picture
What the research shows, how strong it is, and how the rest of the world sees it. · 15 questions, 10 answered
AnsweredWhat do we actually know about AI and human capability?
Nineteen claims in three bands: strong evidence, emerging evidence, and what remains unknown. Reviewed quarterly.
AnsweredWhere is the evidence for all this?
Fifty-six graded studies, each with its method, its finding, and what it does not support. Every entry separately citable.
AnsweredWhich books and papers actually matter?
Eighty-four works, classified by role in the field rather than by how much they agree with anything here.
AnsweredWhat did people predict, and were they right?
Dated positions, kept whether or not they held up. Removing the misses would defeat the purpose.
AnsweredWhen did each of these ideas first appear?
Weekly since January 2017, five years and ten months before ChatGPT. Curation first, thesis later, described honestly.
AnsweredWho is researching this?
The people whose work this research draws on, and the reading that goes with them.
AnsweredWhat does this vocabulary mean?
The terms used here, including which are established concepts and which are coinages from this work.
AnsweredWhat is the overall argument?
The whole case in one place, with the parts that are contested marked as contested.
AnsweredHow strong is the evidence really?
Weaker than most commentary implies in some places and stronger in others. The bands are the honest version.
AnsweredWhat does the evidence NOT show?
Every entry carries a what-it-does-not-support field, which is the reason the base exists.
PartialWhat is happening outside the US and UK?
Ten entries covering Japan, Korea, China, India, France, Spain, Germany and Latin America. Thin, and growing.
OpenHow does this compare with the WEF Future of Jobs?
Open. Where it agrees, where it disagrees, and what it omits, rather than a comparison table.
OpenHow does this compare with OECD skills work?
Open.
OpenIs any of this actually measurable?
Open, and honestly answered: capability debt currently has no validated instrument, and this research says so.
PartialWhat would change your mind?
Stated per claim on the state of the evidence, and maintained as a standing register rather than offered when challenged.
How this map is maintained
New questions arrive from four places: the questions people actually put to AI assistants, rising queries in search data, the questions asked in rooms after talks, and the emerging problems picked up in Box of Amazing. Reviewed monthly. Questions that stop being asked are removed rather than protected, because a map of a territory nobody is walking is not useful.
If a question you would ask is not here, it is a gap worth knowing about. The list is not meant to be complete. It is meant to be honest about where the edges currently are.
Where to go next
For what the research actually establishes, and how strongly, see what we actually know about AI and human capability. For the studies themselves, the evidence base. For the works that shaped the field, the canon. For the whole argument, the SuperSkills thesis.
About this map
Rahim Hirji is the author of SuperSkills: The Seven Human Skills for the Age of AI (Kogan Page, 2026) and the founder of The SuperSkills Intelligence Company. This page is both a navigation layer and a public research roadmap, which means it is deliberately incomplete and says so.
Cite this
Hirji, R. (2026). 180 Questions About Humans and AI. The SuperSkills Intelligence Company. Last reviewed 26 August 2026. thesuperskills.com/research/questions