How Should Your Role Use AI?

The Dermer Rule, applied role by role — what to hand to AI, and what stays yours.

The Dermer Rule is the new 80/20 for the AI era: let AI do the ~80% of your work that is mechanical, repeatable and information-heavy, so you can focus on the ~20% only a human can do — judgment, vision, priorities, relationships, trust and accountability. The point isn’t to bolt AI onto your old workflow; it’s to redesign how the work gets done — and to become more valuable by doing less machine-like work, not by competing with AI at it.

Every role has its own 80% and its own 20%. Below, the Dermer Rule applied to the work each role actually does — the tasks to move to AI, and the human core that makes you irreplaceable.

The Dermer Rule, Role by Role

How should a CEO use AI?

Hand AI the machine-like 80%: competitive briefings, market-scan synthesis, scenario models, board-deck first drafts, KPI dashboards and meeting prep. Reserve the human 20% that only you can carry — setting the vision, making the irreversible calls, shaping culture, and holding accountability when a bet goes wrong. Don’t out-analyze the model; out-decide it. A CEO grows more valuable by owning the judgment AI can never sign its name to.

How should a Founder use AI?

Let AI absorb the founder’s grunt work: customer-interview synthesis, investor-update drafts, competitor teardowns, pitch-deck iterations, hiring JDs and financial-model scaffolding. What stays yours is the 20% no model can fake — the conviction behind the idea, the taste in what to build, the trust you earn from early customers and investors. The Dermer Rule for founders: stop doing the work a tool can do, so you can do the founding.

How should an Entrepreneur use AI?

Push the repeatable 80% to AI — market research, opportunity sizing, landing-page copy, outreach lists, bookkeeping cleanup and process documentation. Keep the entrepreneurial 20% for yourself: spotting the opening others miss, deciding where to place limited time and capital, and building the relationships that open doors. Redesign how you work rather than bolting AI on top. Your edge is judgment and nerve, not typing speed.

How should a Solopreneur use AI?

As a one-person business, let AI run the back office: invoicing, scheduling, proposal drafts, client research, email triage and content repurposing. That frees your 20% — the actual expertise clients pay for, the judgment on their specific problem, and the relationship that earns referrals. Don’t spend saved hours doing more admin; spend them being the specialist. AI removes the reason you were drowning, not the reason clients hired you.

How should a Freelancer use AI?

A freelancer can offload the 80% that eats billable time: prospecting, proposal boilerplate, contracts, first drafts, revisions logging and follow-up chasing. Protect the 20% that commands your rate — craft, creative interpretation of a brief, negotiation, and the trust that turns one gig into a repeat client. Use AI to price your judgment higher, not to churn out more commodity output. The deliverable is you, not the draft.

How should a Content Creator use AI?

Let AI handle production drag: topic research, outline scaffolds, editing passes, captions, thumbnails, repurposing across platforms and posting schedules. What you must own is the 20% audiences follow you for — your point of view, personality, lived experience and taste. AI can generate content; it cannot give people a reason to care who made it. Create from a voice, then let the machine multiply its reach.

How should a Consultant use AI?

Route the analytical 80% through AI: data gathering, benchmarking, slide production, interview synthesis and documentation. Keep the 20% clients actually buy — the diagnosis of what’s really wrong, the judgment on trade-offs, the persuasion in the room, and accountability for the recommendation. A deck is not a solution. Consultants who let AI make the artifacts win by solving the real problem faster than those still assembling PowerPoint by hand.

How should a Coach use AI?

Give AI the prep and admin: session notes, progress tracking, resource curation, intake summaries, program outlines and reminder sequences. The coaching itself is your 20% — reading what a client isn’t saying, asking the question that unlocks them, holding them accountable, and building the trust that makes change stick. No model can sit with someone in a hard moment. Let AI clear the logistics so you can be fully present.

How should a COO use AI?

Delegate the operational 80% to AI: performance dashboards, process documentation, capacity models, exception alerts, cross-team status rollups and reporting. Your 20% is the human core of operations — prioritizing under conflicting demands, handling the exceptions the process never anticipated, and making the trade-off calls someone must own. When reality refuses to follow the workflow, that’s your job. Let AI run the system so you can run the judgment.

How should a CFO use AI?

Automate the finance 80%: variance analysis, reconciliations, forecasting models, covenant monitoring, board-deck drafts and anomaly detection. What stays with you is the 20% that carries fiduciary weight — capital-allocation judgment, materiality calls, risk appetite, and the trust of the board when numbers are uncertain. AI produces accurate analysis; only you can turn it into a decision you’ll stand behind. Own the call, not the calculation.

How should a CMO use AI?

Let AI run marketing’s mechanical 80%: audience research, content variants, personalization, campaign execution, A/B testing and attribution reporting. Reserve the 20% that defines the brand — positioning, the core message, creative taste, cultural read, and protecting reputation when something goes sideways. AI can optimize a funnel; it can’t decide why anyone should care. Set what the brand means, then let the machine scale it.

How should a CRO use AI?

Offload the revenue-engine 80%: pipeline scoring, forecast rollups, call analysis, territory modeling, enablement content and CRM hygiene. Keep the 20% that closes revenue — discovery of what a buyer truly needs, negotiation, executive relationships, and the judgment on which deals are real. AI sharpens the pipeline; it doesn’t build trust across the table. A CRO wins by understanding why this buyer says yes, not by generating more activity.

How should a VP Sales use AI?

Let AI carry the sales-leadership 80%: forecast aggregation, deal-risk flags, rep-coaching insights from call data, pipeline analytics and playbook drafts. Your 20% is human leadership — coaching reps through slumps, reading which deals to personally step into, and making the tough calls on people and priorities. AI tells you where the pipeline is soft; you decide what to do about it. Lead the team, don’t just track it.

How should a Salesperson use AI?

Hand AI the selling 80%: prospect research, personalized outreach drafts, CRM logging, meeting prep, follow-up sequences and proposal formatting. What earns the commission is the 20% AI can’t do — building rapport, running real discovery, handling objections live, and closing. Buyers commit to a person they trust, not a well-written email. Let AI prep every call so you show up ready to actually sell.

How should a Marketing Manager use AI?

Push the campaign 80% to AI: content drafts, audience segmentation, scheduling, performance reporting, email variants and creative resizing. Keep the 20% that makes campaigns land — the strategic angle, message clarity, brand-fit judgment, and knowing which idea deserves the budget. AI can produce fifty variations; it can’t tell you which one is right for this audience. Own the thinking and let AI handle the throughput.

How should a HR Leader use AI?

Let AI take the people-ops 80%: policy drafting, sourcing, scheduling, engagement-survey analysis, onboarding logistics and compliance documentation. The 20% that defines HR stays human — reading potential the data misses, navigating conflict, judging fairness, and protecting culture. When the metrics point to an easy answer, your job is to remember these are people. Use AI to remove the paperwork so you can do the human work well.

How should a Recruiter use AI?

Give AI the sourcing 80%: resume screening, boolean searches, interview scheduling, outreach drafts, pipeline tracking and scorecard summaries. Keep the 20% that fills the seat — candidate rapport, reading culture fit, selling the opportunity, and the close. AI surfaces and sorts candidates; it can’t sense whether someone will thrive here or persuade a hesitant finalist to sign. Let it clear the funnel so you focus on the human read.

How should an Operations Manager use AI?

Route the operations 80% through AI: shift scheduling, workflow monitoring, resource forecasts, incident alerts, SOP drafts and daily reporting. Your 20% is judgment on the floor — prioritizing when everything’s urgent, handling the exception no process covers, and owning trade-offs between speed, cost and quality. AI keeps the system humming; you make it work when reality breaks the plan. Manage the exceptions, not the routine.

How should a Product Manager use AI?

Let AI handle the PM 80%: user-research synthesis, PRD drafts, competitive analysis, ticket grooming, release notes and metrics dashboards. The 20% that only you can own is problem selection, ruthless prioritization, customer empathy, and the taste to define what “good” means. AI can write the spec; it can’t decide which problem is worth solving. Choose the right fights, and let the machine document them.

How should a Software Engineer use AI?

Offload the coding 80%: boilerplate, unit tests, refactors, documentation, log analysis and routine bug fixes. Keep the 20% that carries real weight — architecture decisions, security trade-offs, understanding the system as a whole, and accountability when it ships. AI generates plausible code; your job is knowing when it’s subtly wrong, unsafe, or wrong for this system. Review like it matters, because you own what merges.

How should an Attorney use AI?

Let AI do the legal 80%: document review, case-law research, clause comparison, discovery summarization and first-draft agreements. The 20% that requires a lawyer stays yours — case strategy, ethical judgment, advocacy, negotiation, and advice that weighs consequences beyond the four corners of the text. AI drafts; you counsel. Always verify citations and reasoning yourself. Clients pay for judgment they can rely on, not the fastest memo.

How should an Accountant use AI?

Push the accounting 80% to AI: transaction categorization, reconciliations, schedule preparation, variance flags and report drafting. Keep the 20% that needs a professional — materiality judgment, treatment calls in gray areas, advising clients on what the numbers mean, and standing behind the work. AI speeds accurate output; it doesn’t decide what’s right when the rules are ambiguous. Be the trusted interpreter, not just the preparer.

How should a Bookkeeper use AI?

Let AI handle the bookkeeping 80%: bank-feed matching, expense coding, recurring entries, invoice capture and month-end tie-outs. Your 20% is catching what the automation gets wrong — the miscategorized transaction, the anomaly that signals a real problem, and the judgment on how a client actually runs their books. AI does the data entry; you own accuracy and the exceptions. Watch for what doesn’t add up, not just what does.

How should a Financial Advisor use AI?

Automate the advisory 80%: portfolio reporting, rebalancing analysis, research summaries, meeting prep and scenario modeling. The 20% clients truly hire you for is human — understanding their goals and fears, coaching them through volatility, and earning the trust to be candid. AI runs the numbers; you hold the relationship steady when markets scare people. The value isn’t the projection, it’s the counsel behind it.

How should a Customer Success Manager use AI?

Let AI carry the CSM 80%: health scoring, usage analysis, renewal reminders, QBR decks, knowledge-base answers and routine check-ins. The 20% that saves accounts is human — empathy in a tense moment, reading the relationship behind the metrics, and recovering trust after something breaks. AI can close a ticket; it can’t tell whether the customer is actually staying. Save the relationship, not just the case.

How should an Executive Assistant use AI?

Delegate the EA 80% to AI: calendar coordination, travel booking, email drafts, briefing docs, expense reports and follow-up tracking. Your 20% is irreplaceable judgment — discretion with sensitive matters, reading the executive’s real priorities, and interpersonal instincts that smooth every interaction. AI can schedule a meeting; it can’t sense what matters before anyone explains it. Be the anticipation and trust, and let AI run the logistics.

How should a Project Manager use AI?

Hand AI the PM 80%: status reports, timeline updates, risk logs, meeting notes, resource tracking and stakeholder summaries. Keep the 20% that delivers projects — prioritizing under pressure, handling the surprises no Gantt chart predicted, negotiating scope, and owning the outcome. AI keeps the plan current; you keep the project alive when reality diverges from it. Manage the humans and the trade-offs, not just the tracker.

How should a Business Owner use AI?

Let AI run the owner’s 80%: bookkeeping, marketing content, customer emails, scheduling, competitor research and routine reporting. Reserve the 20% only you can do — deciding where the business goes, which customers and hires to bet on, and building the relationships that sustain it. Don’t just automate old tasks; rethink how the work gets done. You become more valuable steering the business, not staffing its busywork.

How should an Agency Owner use AI?

Push the agency 80% to AI: first-draft creative, reporting, campaign setup, pitch research, billing reconciliation and status updates. Keep the 20% that grows an agency — client relationships, creative direction and taste, pricing strategy, and the judgment on which accounts and talent to invest in. AI raises your team’s output per hour; your job is to sell judgment, not hours. Own the vision clients can’t buy elsewhere.

How should an E-commerce Owner use AI?

Let AI handle the store 80%: product descriptions, ad variants, inventory forecasting, customer-service replies, review analysis and email flows. Your 20% is the merchant’s edge — choosing what to sell, reading where the market’s heading, brand positioning, and supplier and customer relationships. AI optimizes conversion; it doesn’t decide what belongs in the catalog. Curate the assortment and the brand, and let the machine run the funnel.

How should a Board Member use AI?

Use AI for the governance 80%: digesting board packs, benchmarking against peers, scenario analysis, risk scanning and pre-meeting prep. The 20% that justifies your seat is human — independent challenge, governance judgment, ethical backbone, and accountability to shareholders. AI can brief you faster; it can’t ask management the uncomfortable question. Come to the table informed by the machine, then do the one thing a director must: hold leadership honest.

How should an Investor use AI?

Let AI run the investing 80%: screening, financial modeling, filings analysis, comparables, portfolio monitoring and diligence prep. Keep the 20% that generates returns — conviction when the data is incomplete, judgment on management quality, timing, and the discipline to size and exit. AI processes the evidence; you decide when a capital call can’t wait for certainty. Edge comes from the judgment behind the thesis, not faster spreadsheets.

How should a Private Equity Partner use AI?

Offload the PE 80% to AI: deal sourcing, LBO models, market diligence, management-report synthesis and portfolio KPI tracking. The 20% that closes and creates value is human — reading a management team, structuring and negotiating the deal, and steering the value-creation plan through the hold. AI accelerates diligence; it can’t judge whether these operators will execute. Back the right people, then let AI do the analysis.

How should a Venture Capitalist use AI?

Let AI carry the VC 80%: deal-flow triage, market sizing, founder and competitor research, memo drafting and portfolio monitoring. Your 20% is the judgment that makes returns — conviction in a founder before the numbers exist, pattern recognition on what could become huge, and the relationships that win allocation. AI screens the funnel; it can’t feel who’s going to build something extraordinary. Bet on people, informed by the machine.

How should a Controller use AI?

Automate the controllership 80%: reconciliations, close checklists, journal-entry drafting, variance analysis and compliance reporting. Keep the 20% that requires a controller — materiality and treatment judgment, control-design decisions, and accountability for the integrity of the numbers. AI accelerates a faster, cleaner close; it doesn’t decide what’s right when guidance is ambiguous. Own the accuracy and the sign-off, and let AI compress the mechanical work.

How should a FP&A Leader use AI?

Let AI handle the FP&A 80%: model building, variance bridges, forecast updates, board-report drafts and scenario generation. Your 20% is the narrative and judgment — explaining why the numbers moved, pressure-testing assumptions, and framing the trade-offs leadership must decide. AI produces the analysis; only you turn it into a story the business can act on. Be the partner who interprets, not the analyst who only tabulates.

How should a Finance Manager use AI?

Push the finance-ops 80% to AI: reporting, reconciliations, budget consolidation, anomaly detection and routine analysis. Keep the 20% that adds value — judgment on budget trade-offs, coaching business partners on their numbers, and owning the decisions the data informs. AI delivers accurate output faster; you decide what it means and who needs to act. Turn the analysis into a call someone’s willing to stand behind.

How should a Sales Manager use AI?

Let AI run the sales-management 80%: forecast rollups, pipeline health checks, call-recording insights, coaching-note prep and CRM cleanup. Your 20% is developing people — coaching reps through their weak spots, motivating a team, deciding which deals to personally engage, and holding the number. AI shows you where the pipeline leaks; you fix it through humans. Coach the team, don’t just report on it.

How should a SDR / BDR use AI?

Hand AI the prospecting 80%: account research, list building, personalized email and LinkedIn drafts, CRM logging and cadence management. What books meetings is your 20% — the human touch that stands out, the live conversation on a cold call, and the instinct for which prospects are genuinely worth pursuing. AI drafts a hundred emails; you make one connection land. Personalize the outreach, then bring real curiosity to the call.

How should an Account Executive use AI?

Offload the AE 80% to AI: prospect research, proposal drafts, CRM updates, call summaries, follow-up emails and forecast entry. Keep the 20% that closes — discovery of the real buying problem, multi-stakeholder navigation, negotiation, and the trust that moves a deal forward. AI preps every meeting; it doesn’t build the relationship that gets the signature. Understand why this buyer says yes, and let AI handle the admin trail.

How should an Account Manager use AI?

Let AI carry the account-management 80%: usage reporting, renewal prep, QBR decks, upsell-signal analysis and check-in scheduling. Your 20% is the relationship — understanding the client’s evolving goals, spotting expansion before they ask, and being the trusted contact when problems arise. AI flags the account at risk; you’re the one who keeps it. Grow and protect the relationship, not just the dashboard behind it.

How should a Chief of Staff use AI?

Route the CoS 80% through AI: meeting prep, briefing memos, project tracking, data synthesis, communications drafts and follow-up coordination. The 20% only you can do is judgment and trust — reading the principal’s intent, prioritizing across a chaotic org, navigating politics, and being the honest voice in the room. AI compiles the information; you decide what actually matters. Extend the leader’s judgment, not just their calendar.

How should an Office Manager use AI?

Let AI take the office-management 80%: vendor scheduling, supply reordering, expense tracking, event logistics, policy drafts and internal announcements. Your 20% is the human glue — reading the team’s needs, handling delicate interpersonal situations, prioritizing competing requests, and being the trusted go-to. AI handles the errands; you keep the workplace running as a community. Anticipate what people need before they ask, and let AI do the coordinating.

How should an Administrative Assistant use AI?

Delegate the admin 80% to AI: data entry, scheduling, document formatting, email drafts, meeting notes and reminder tracking. Keep the 20% that makes you indispensable — discretion, knowing the team’s real priorities, smoothing interpersonal friction, and the reliability people lean on. AI can format a document; it can’t sense what needs handling before it’s said. Use the freed time to anticipate and support, not to do more typing.

How should a Social Media Manager use AI?

Let AI handle the social 80%: caption drafts, content calendars, hashtag research, post scheduling, comment triage and engagement reporting. Your 20% is what makes a feed worth following — brand voice, cultural timing, the judgment on what’s on-trend versus off-brand, and real conversation with the community. AI can post; it can’t read the room. Set the voice and the moment, then let the machine keep the cadence.

How should a Copywriter use AI?

Push the copywriting 80% to AI: research, headline variations, first drafts, reformatting and repurposing across channels. Protect the 20% that makes copy sell — the original angle, the emotional hook, the voice that sounds authored rather than generated, and the read on what this audience feels. AI gives you raw material fast; you make it land. Edit for soul, not just speed, and the work stays unmistakably yours.

How should a Graphic Designer use AI?

Let AI carry the design 80%: mockup variations, resizing across formats, background removal, asset generation and production cleanup. Keep the 20% that defines a designer — the concept, taste, typographic and compositional judgment, and interpreting what the client actually needs. AI can render options; it can’t decide which one is right or why. Direct the vision and curate ruthlessly, and let the machine do the tedious execution.

How should a Video Editor use AI?

Offload the editing 80% to AI: transcription, rough cuts, auto-captioning, color and audio cleanup, and clip repurposing for shorts. Your 20% is the craft — pacing, story structure, the emotional beat of a cut, and the taste that separates a good edit from a great one. AI assembles the footage; you decide how it should feel. Shape the story, and let the machine handle the grunt timeline work.

How should a Photographer use AI?

Let AI take the photography 80%: culling, keywording, batch retouching, background cleanup, formatting and gallery delivery. The 20% that clients book you for is human — the eye for a moment, directing subjects, lighting and composition, and the taste that makes an image yours. AI can retouch a thousand frames; it can’t see the shot before it happens. Own the vision behind the lens, and let AI do the post.

How should a Videographer use AI?

Hand AI the videography 80%: shot logging, transcription, first-pass edits, stabilization, captioning and deliverable exports. Keep the 20% that only you bring — the visual storytelling, directing on set, framing and movement, and the read on how to capture a moment. AI accelerates the edit bay; it can’t compose the scene in the room. Be the storyteller behind the camera, and let the machine speed the workflow.

How should a Writer use AI?

Let AI handle the writing 80%: research, outlines, rough drafts, restructuring and proofreading. Protect the 20% that makes writing worth reading — original thought, voice, the way ideas connect, and the taste to know what to cut. AI produces text; you produce meaning. Use it to break blank-page paralysis, then rewrite until the work sounds like a person with something to say. The authorship must stay yours.

How should a Journalist use AI?

Offload the reporting 80% to AI: transcription, document search, background research, data sifting and draft summaries. The 20% that defines journalism is human — editorial judgment on what matters, verifying the truth, protecting sources, and the storytelling that gives facts weight. AI can surface leads; it can’t decide what deserves the public’s attention or vouch for accuracy. Chase the truth and own every fact, then let AI speed the legwork.

How should an Editor use AI?

Let AI take the editing 80%: line-level proofreading, consistency checks, formatting, fact-flagging and structural suggestions. Keep the 20% that only an editor provides — judgment on what a piece is really about, developing a writer’s voice, deciding what to keep and cut, and standing behind what publishes. AI catches typos; it doesn’t shape meaning or protect the reader’s trust. Edit for substance and voice, and let the machine handle mechanics.

How should a Podcaster use AI?

Push the podcasting 80% to AI: guest research, show notes, transcription, audio cleanup, clip creation and episode descriptions. Your 20% is the reason people listen — genuine curiosity, the conversation itself, your point of view, and the chemistry with guests and audience. AI can edit and repurpose; it can’t ask the follow-up question that makes an episode. Be present in the conversation, and let AI handle everything around it.

How should a YouTuber use AI?

Let AI carry the channel 80%: title and thumbnail testing, scripting scaffolds, editing passes, chapter markers, tags and analytics review. Keep the 20% that grows a channel — your on-camera personality, creative ideas worth clicking, and the trust that turns viewers into subscribers. AI can optimize the metadata; it can’t make people care about you. Bring the authentic self and the ideas, then let the machine handle production and reach.

How should an Influencer use AI?

Hand AI the influencer 80%: content scheduling, caption drafts, trend research, DM triage, media kits and brand-deal reporting. What sustains influence is the 20% AI can’t fake — authenticity, personal taste, the trust your audience places in your recommendation, and the judgment on which partnerships fit. Followers can smell generated content. Stay genuinely yourself, protect the trust, and let AI handle the operational load behind the scenes.

How should a Newsletter Publisher use AI?

Let AI take the newsletter 80%: research, draft sections, subject-line variants, formatting, segmentation and open-rate analysis. Your 20% is why readers subscribe — the curation, your take on what matters, the distinct voice, and the trust that keeps inboxes open to you. AI can assemble an issue; it can’t decide what’s worth your readers’ attention. Own the point of view and the editorial judgment, and let AI do the assembly.

How should a Course Creator use AI?

Offload the course 80% to AI: outline drafts, quiz generation, transcript editing, slide production, captions and learner-question responses. Keep the 20% that makes a course transformative — your expertise, the way you explain a hard concept, the pedagogy, and the credibility students buy into. AI can produce material; it can’t teach with the insight only you’ve earned. Bring the mastery and the clarity, and let AI handle the packaging.

How should a Community Manager use AI?

Let AI handle the community 80%: post scheduling, FAQ responses, moderation flagging, engagement reporting and content prompts. The 20% that builds real community is human — genuine connection with members, defusing conflict, reading the group’s mood, and the trust that makes people belong. AI can answer a repeat question; it can’t make a member feel seen. Be the human presence, and let AI clear the repetitive volume.

How should a PR Professional use AI?

Push the PR 80% to AI: media-list building, press-release drafts, coverage monitoring, briefing docs and pitch personalization. Keep the 20% that moves reputation — the story angle worth a journalist’s time, relationships with reporters, message judgment, and steering a crisis in real time. AI drafts the pitch; it doesn’t earn the trust that gets a callback. Own the narrative and the relationships, and let AI handle the volume.

How should a Brand Strategist use AI?

Let AI take the brand-strategy 80%: audience research, competitive audits, trend synthesis, persona drafts and positioning options. The 20% that defines a brand is human — the insight into what it should stand for, creative judgment, cultural read, and the courage to commit to a distinctive position. AI can map the landscape; it can’t decide what the brand means. Set the meaning, and let AI do the groundwork.

How should a Media Buyer use AI?

Offload the media-buying 80% to AI: bid optimization, audience testing, budget pacing, performance reporting and creative-variant rotation. Keep the 20% that drives results — the channel strategy, judgment on where the audience really is, creative direction, and knowing when the data is misleading. AI optimizes within the plan; you decide the plan. Set the strategy and read the signal behind the metrics, and let AI run the levers.

How should a SEO Specialist use AI?

Let AI handle the SEO 80%: keyword research, content briefs, meta-tag drafts, technical-audit scans, internal-link mapping and rank tracking. Your 20% is the strategy AI can’t own — understanding search intent, the editorial judgment to earn trust and citations, and adapting as algorithms shift. AI generates optimized drafts; it doesn’t decide what genuinely deserves to rank. Build real authority and intent-fit, not just volume, and let AI do the analysis.

How should a Market Researcher use AI?

Push the research 80% to AI: survey design drafts, response coding, transcript analysis, literature review and data visualization. Keep the 20% that makes research matter — framing the right question, interpreting what findings actually mean, spotting bias, and translating data into a decision. AI processes the inputs; you supply the insight. Don’t just report what people said — tell the business what to do about it.

How should a Data Analyst use AI?

Let AI take the analysis 80%: query writing, data cleaning, chart generation, anomaly flagging and report drafting. Your 20% is the judgment around the numbers — asking the right business question, catching flawed data, interpreting what a trend means, and telling the story that drives action. AI can produce a dashboard; it can’t tell you which insight matters. Frame the question and own the interpretation, and let AI crunch the data.

How should a Data Scientist use AI?

Offload the data-science 80% to AI: boilerplate code, feature engineering, model scaffolding, documentation and exploratory analysis. Keep the 20% that makes a model useful — framing the problem, choosing the right approach, judging whether results are valid, and communicating trade-offs to the business. AI generates and tunes; you decide what’s rigorous and what’s noise. Own the problem framing and the validity check, and let AI accelerate the build.

How should a Business Analyst use AI?

Let AI handle the BA 80%: requirements drafting, process mapping, stakeholder-note synthesis, documentation and data pulls. Your 20% is the connective judgment — understanding what the business truly needs versus what it asks for, mediating between stakeholders, and prioritizing what to build. AI documents the requirements; it can’t reconcile the competing interests behind them. Be the translator and the judgment, and let AI produce the artifacts.

How should an IT Manager use AI?

Push the IT 80% to AI: ticket triage, log analysis, script generation, documentation, patch tracking and monitoring alerts. Keep the 20% that requires a leader — architecture and vendor decisions, security trade-offs, prioritizing under limited budget, and accountability when systems fail. AI resolves routine issues; you decide what infrastructure the business needs and own the risk. Steer the technology strategy, and let AI handle the operational noise.

How should a Cybersecurity Leader use AI?

Let AI carry the security 80%: log correlation, threat-intel summarization, alert triage, vulnerability scanning and report drafting. The 20% that protects the organization is human — judging real risk versus noise, prioritizing defenses, making the call under an active incident, and owning accountability. AI flags anomalies; you decide which are real threats and how to respond. Own the judgment and the response, and let AI watch the volume.

How should a Developer / Programmer use AI?

Hand AI the coding 80%: scaffolding, tests, refactoring, documentation, debugging support and routine fixes. Keep the 20% that carries the weight — design decisions, understanding the whole system, security and performance trade-offs, and accountability for what ships. AI writes plausible code fast; your job is knowing when it’s wrong or wrong for this system. Review everything you accept — you own it once it merges, not the model.

How should an UX Designer use AI?

Let AI take the UX 80%: research synthesis, wireframe variations, copy drafts, usability-note summaries and design-system documentation. Your 20% is the empathy and judgment — truly understanding the user’s problem, the taste behind a flow that feels effortless, and deciding what to design. AI can produce screens; it can’t feel a user’s frustration. Own the user understanding and the design intent, and let AI handle the production.

How should a Product Designer use AI?

Offload the product-design 80% to AI: mockup iterations, component variants, prototype scaffolds, spec documentation and asset export. Keep the 20% that only you can do — the concept, the judgment on what solves the user’s real need, craft and taste, and cross-functional alignment. AI generates options; you decide which is right and why it matters. Direct the vision and defend the user, and let AI accelerate the exploration.

How should a Customer Service Representative use AI?

Let AI handle the service 80%: answer suggestions, knowledge-base lookup, ticket categorization, response drafting and case logging. Your 20% is the human touch — empathy with a frustrated customer, judgment on when to break policy, de-escalating tension, and turning a bad experience around. AI can resolve the routine question; it can’t make an upset customer feel heard. Bring the humanity, and let AI handle the repetitive answers.

How should a Support Manager use AI?

Push the support-management 80% to AI: ticket-trend analysis, macro drafting, staffing forecasts, quality-review summaries and CSAT reporting. Keep the 20% that runs a great team — coaching reps, handling the escalation that needs a human, deciding policy trade-offs, and protecting both customers and staff. AI surfaces where support breaks; you fix it through people. Lead the team and own the exceptions, and let AI handle the analytics.

How should a Procurement Manager use AI?

Let AI take the procurement 80%: spend analysis, supplier research, RFP drafting, contract comparison and PO tracking. Your 20% is the leverage that saves money — supplier relationships, negotiation, judgment on total value beyond price, and managing risk when a source fails. AI benchmarks and drafts; it can’t negotiate the deal or read a vendor’s reliability. Own the negotiation and the relationships, and let AI do the analysis.

How should a Supply Chain Manager use AI?

Offload the supply-chain 80% to AI: demand forecasting, inventory optimization, route analysis, supplier monitoring and exception alerts. Keep the 20% that matters when things break — judgment during disruption, supplier relationships, prioritizing which orders to protect, and the trade-off calls on cost, speed and risk. AI optimizes the steady state; you steer the crisis. Manage the disruptions and the relationships, and let AI run the models.

How should a Logistics Manager use AI?

Let AI handle the logistics 80%: route optimization, load planning, carrier-rate comparison, shipment tracking and delay alerts. Your 20% is the on-the-ground judgment — reacting when a shipment fails, prioritizing under constraints, managing carrier relationships, and owning the trade-off between cost and delivery. AI plans the optimal route; you handle the truck that broke down. Solve the exceptions and hold the relationships, and let AI plan the routine.

How should a Manufacturing Manager use AI?

Push the manufacturing 80% to AI: production scheduling, quality-data analysis, predictive-maintenance alerts, yield reporting and shift planning. Keep the 20% that keeps the line running — floor judgment, safety decisions, handling the breakdown no model predicted, and leading the crew. AI optimizes throughput on paper; you make it real when a machine fails or demand spikes. Own the floor and the people, and let AI handle the planning.

How should a Construction Project Manager use AI?

Let AI take the construction-PM 80%: schedule updates, submittal tracking, RFI drafting, cost reporting, safety documentation and progress logs. Your 20% is the on-site judgment — coordinating subcontractors, solving the problem the plans didn’t foresee, safety calls, and holding the schedule and budget. AI keeps the paperwork current; you keep the jobsite moving. Manage the trades and the surprises, and let AI handle the documentation.

How should a Real Estate Agent use AI?

Offload the agent 80% to AI: listing descriptions, comparative market analysis, follow-up emails, showing schedules and lead nurturing. Keep the 20% that closes deals — understanding what a buyer or seller really wants, negotiation, guiding people through an emotional decision, and the trust that earns referrals. AI drafts the listing; it can’t read the family at the kitchen table. Be the trusted advisor, and let AI handle the busywork.

How should a Property Manager use AI?

Let AI handle the property-management 80%: rent reminders, maintenance-ticket routing, lease drafting, vendor scheduling and expense tracking. Your 20% is the human side — resolving tenant conflicts, judgment calls on repairs and evictions, owner relationships, and the discretion that keeps everyone satisfied. AI processes the requests; you handle the disputes and decisions. Own the relationships and the judgment, and let AI run the routine coordination.

How should a Real Estate Developer use AI?

Push the development 80% to AI: market feasibility analysis, pro-forma modeling, zoning research, contractor-bid comparison and project reporting. Keep the 20% that makes projects happen — the vision for a site, deal structuring, relationships with investors and municipalities, and the nerve to commit capital under uncertainty. AI runs the numbers; you decide whether to build. Own the vision and the bet, and let AI do the analysis.

How should an Architect use AI?

Let AI take the architecture 80%: code-compliance checks, drawing production, spec drafting, energy modeling and rendering variants. Your 20% is the design itself — the concept, spatial and aesthetic judgment, understanding how people will live in the space, and accountability for safety and vision. AI can generate options; it can’t design a building that moves people. Own the creative vision and the responsibility, and let AI handle documentation.

How should an Engineer use AI?

Offload the engineering 80% to AI: calculations, simulation setup, documentation, design-variant generation and code-compliance checks. Keep the 20% that carries responsibility — design judgment, safety trade-offs, understanding the real-world system, and accountability for what gets built. AI accelerates the analysis; it can’t be liable when a design fails. Verify everything and own the decisions, because the professional stamp — and the consequences — are yours, not the tool’s.

How should a Physician use AI?

Let AI handle the clinical 80%: note drafting, chart summarization, literature lookup, differential suggestions and coding. The 20% that only a physician can do is the medicine — examining the patient, the diagnostic judgment, weighing treatment in context, and the trust of the bedside. AI surfaces possibilities; you decide and you’re accountable. Verify against the patient in front of you. Spend the reclaimed time with people, not paperwork.

How should a Dentist use AI?

Push the dental 80% to AI: charting notes, imaging-review support, treatment-plan drafts, appointment reminders and insurance documentation. Keep the 20% that requires you — the clinical judgment, the hands-on procedure, reading and reassuring an anxious patient, and accountability for care. AI can flag a finding on an X-ray; it can’t perform the work or earn the patient’s trust. Own the chair and the judgment, and let AI handle admin.

How should a Nurse use AI?

Let AI take the nursing 80%: documentation, shift-handoff summaries, care-plan drafts, medication references and monitoring alerts. Your 20% is the care itself — bedside judgment, noticing the subtle change in a patient, compassion, and advocating for them. AI can chart and remind; it can’t hold a scared patient’s hand or sense when something’s wrong. Verify every alert against your own eyes, and let AI return time to the bedside.

How should a Therapist use AI?

Offload the therapist 80% to AI: session-note drafting, scheduling, intake summaries, resource curation and progress tracking. The 20% that heals is entirely human — the therapeutic relationship, empathy, clinical judgment, reading what’s unspoken, and holding a client in a hard moment. AI can handle paperwork; it cannot be the presence therapy requires, and confidentiality demands care with any tool. Protect the relationship, and let AI clear the administrative burden.

How should a Practice Manager use AI?

Let AI handle the practice 80%: scheduling optimization, billing and claims prep, patient reminders, reporting and supply tracking. Your 20% is running the practice as a human enterprise — staff leadership, patient-experience judgment, resolving conflicts, and decisions on growth and compliance. AI keeps operations flowing; you handle the people and the exceptions. Lead the team and own the trade-offs, and let AI run the administrative engine.

How should a Teacher use AI?

Push the teaching 80% to AI: lesson-plan drafts, worksheet generation, grading support, differentiated materials and parent-communication drafts. Keep the 20% that transforms students — inspiring them, reading who’s struggling, adapting in the moment, mentoring, and the relationship that makes learning stick. AI can produce materials; it can’t light a spark in a kid. Spend the reclaimed hours teaching and connecting, not grading, and let AI handle the prep.

How should a Professor use AI?

Let AI take the academic 80%: literature review, grant-draft support, syllabus building, grading assistance and administrative writing. Your 20% is scholarship and mentorship — original research questions, intellectual judgment, guiding students’ thinking, and the integrity that anchors the work. AI accelerates the review; it can’t originate the insight or mentor a doctoral student. Own the ideas and the mentoring, verify all sources, and let AI handle the drudgery.

How should a Trainer use AI?

Offload the training 80% to AI: curriculum drafts, exercise and assessment generation, participant materials, scheduling and feedback summaries. Keep the 20% that makes training land — reading the room, adapting live to how learners respond, motivating people, and the credibility they buy into. AI can build the deck; it can’t sense when the room is lost. Bring the energy and the adaptation, and let AI prepare the content.

How should a Restaurant Owner use AI?

Let AI handle the restaurant 80%: inventory forecasting, scheduling, menu-cost analysis, review responses, reservations and marketing posts. Your 20% is the soul of the place — the concept and menu vision, hospitality culture, staff leadership, and the guest experience that earns loyalty. AI can optimize food cost; it can’t create the feeling people come back for. Own the experience and the team, and let AI run the operations.

How should a Chef use AI?

Push the kitchen 80% to AI: recipe scaling, inventory and prep lists, cost calculations, allergen documentation and supplier ordering. Keep the 20% that defines a chef — the palate, creativity in a new dish, judgment on quality and plating, and leading the line under pressure. AI can calculate portions; it can’t taste or create. Own the food and the kitchen craft, and let AI handle the math and logistics.

How should a Hotel Manager use AI?

Let AI take the hotel 80%: booking optimization, dynamic-rate analysis, review monitoring, staff scheduling and guest-request routing. Your 20% is hospitality itself — the guest experience, recovering a stay gone wrong, staff leadership, and the judgment that turns a visitor into a regular. AI can price a room; it can’t make a guest feel welcome. Own the experience and the team, and let AI handle the operational data.

How should an Event Planner use AI?

Offload the event 80% to AI: vendor research, timeline building, budget tracking, RSVP management, run-of-show drafts and follow-up. Keep the 20% that makes an event memorable — the creative vision, vendor and client relationships, calm judgment when something goes wrong on the day, and the taste that ties it together. AI can build the checklist; it can’t save the day when the caterer cancels. Own the vision and the crisis handling.

How should a Virtual Assistant use AI?

Let AI handle the VA 80%: inbox triage, scheduling, data entry, research, document formatting and routine correspondence. Your 20% is what makes you trusted — discretion, anticipating the client’s needs, judgment on priorities, and the reliability that earns a long relationship. AI can execute a task; it can’t read what the client hasn’t said yet. Use AI to deliver more per hour, and compete on judgment and trust, not typing.

How should a Translator use AI?

Push the translation 80% to AI: first-pass drafts, terminology lookup, glossary consistency, formatting and repetitive segments. Keep the 20% that machine translation misses — cultural nuance, tone, idiom, context, and the judgment to render meaning rather than words. AI produces a literal draft fast; you make it read as if written natively. Post-edit for sense and soul, and clients pay for the fluency only a human provides.

How should a Researcher use AI?

Let AI take the research 80%: literature review, data collection and cleaning, coding, summarization and draft writing. Your 20% is the intellectual core — the question worth asking, methodological rigor, interpreting what results truly mean, and the integrity that grounds the work. AI accelerates the process; it can’t originate insight or vouch for validity. Verify every source and own the interpretation, and let AI compress the mechanical labor.

How should a Nonprofit Executive use AI?

Offload the nonprofit 80% to AI: grant-proposal drafts, donor research, impact reporting, volunteer coordination and communications. Keep the 20% that advances the mission — donor and community relationships, the vision for impact, board leadership, and the judgment on where scarce resources do the most good. AI can draft the appeal; it can’t build the trust that moves a major gift. Own the mission and relationships, and let AI handle the workload.

Start with the framework itself — The Dermer Rule — then see what every business needs in place with The Five Foundations and the nine dimensions of the entrepreneurial struggle. The Dermer Rule is a framework from Michael Dermer, founder of The Lonely Entrepreneur.