PayCrunch Research · The exact AI playbook for your profession, sourced to the U.S. Bureau of Labor Statistics

PayCrunch AI Playbook · Creative

The producer who builds what a team cannot work without

$306,850top of the range in California · middle $90,360 / yr
AI is transforming this role

Producers in the United States earn a median of $90,360 a year. Pay starts near $45,780. Pay reaches $306,850 at the top of the range in California, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Producers and Directors, SOC 27-2012). Last checked 9 September 2026.

Entry level
$45,780
Top of the range · California
$306,850
Education
Bachelor's degree in Film or Media
Lower disruption Higher exposure AI is transforming this role
Entry · $45,780 Top of range · $306,850 (California) Middle $90,360

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Producers and Directors). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for ProducerReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Producer work right now.

RunwayNEWFree tier / $12 mo

AI video generator and editor for short cinematic clips.

How a Producer uses it: generate and edit video b-roll and effects without a full production

GammaNEWFree / $9 mo

Generates polished slide decks and one-pagers from a prompt.

How a Producer uses it: turn an outline into a designed presentation instantly

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Producer uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

Canva AIFree / $13 mo

Design platform with AI text-to-image, writing, and one-click layouts.

How a Producer uses it: produce on-brand graphics, social posts, and decks without a designer

Adobe FireflyFree credits / paid

Adobe's commercially-safe AI image and video generation, built into Creative Cloud.

How a Producer uses it: generate and edit images and video safe for commercial use

Midjourney$10+ mo

High-end AI image generator known for striking visuals.

How a Producer uses it: create original concept art, mockups, and hero images from a prompt

DescriptFree / $16 mo

Edit video and podcasts by editing the transcript like a doc.

How a Producer uses it: cut and polish video/audio by editing text, and remove filler words automatically

ElevenLabsFree / $5+ mo

AI voice generation with hundreds of natural voices.

How a Producer uses it: produce voiceovers and narration in minutes

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Producer uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

The person who holds the show together

On a film or a television production, the producer is the person who makes the work possible and then keeps it honest until it is delivered. The title covers a wide set of days. One morning is a budget conversation. The next is a location that fell through. The afternoon is a cut that still does not play, and a call with the people who are paying for the picture. The through-line is responsibility. If the schedule slips, if the crew is short a key role, if the cut misses the story the project was funded to tell, the producer is in that problem.

Film and television share the shape even when the calendars differ. A feature may gather for a concentrated shoot and then live in the edit for a long stretch. A series may return every week, with a standing crew and a delivery date that does not move because a network or a streamer has a slot. In both settings the producer is translating among money, time, and the creative aim. The work is less mysterious than the credit makes it sound. It is a schedule people can trust, a crew that can do the day, and a cut that can be finished.

A schedule, a crew, and a cut

The schedule is the plan of what gets made, in what order, and on which day. A producer builds it with the director, the line producer or unit production manager, and the department heads who know how long their work actually takes. A schedule that looks ambitious in a conference room and impossible on the day is a producer problem. So is a schedule so cautious that the money runs out before the story is covered. The living version of the schedule changes when weather, an illness, or a location refusal arrives. The producer decides what moves, what is protected, and who needs to hear the change before the trucks roll.

The crew is the group of people who do the work: camera, sound, art, wardrobe, hair, electric, grip, and the office that supports them. Hiring the crew is part of producing. So is keeping the day humane enough that people can do their best work, and clear enough that nobody is guessing the plan. A producer who knows the names, pays attention to overtime risk, and backs a department head in front of the company earns the right to ask for speed later. A producer who treats the crew as interchangeable learns that reputation travels faster than a resume.

Between those three duties sits a pile of unglamorous office work that still belongs to the producer. Insurance has to be in place before a location will open the door. Clearances have to be chased before a cut can be delivered. Vendors have to be paid on a rhythm the production accountant can defend. A producer who ignores that layer discovers it again in the last week, when a missing signature holds the picture. The people who last treat the office and the set as one job. A beautiful shooting day that cannot be insured, cleared, or paid for is a day that did not happen in the eyes of the buyer.

The cut is the film or the episode as it exists in the edit. Producers sit in that room, or on that call, and protect two things at once: the story the project set out to tell, and the practical limits of time, music, legal clearance, and delivery specs. Notes come from a director, a studio, a network, or a financier. The producer sorts which notes serve the picture and which notes would break the schedule or the budget if they were chased without a plan. A locked cut is a decision. Delivery is the work of making that decision match the technical and legal package the buyer asked for. The producer stays on that package until it is accepted.

How the job is learned on a real production

Almost nobody starts with the producer credit. The path runs through an office, a set, or both. A production assistant learns how a day is actually called. A coordinator learns the paperwork that lets people get paid and lets vendors get booked. An assistant to a producer watches how problems are escalated, how a schedule is defended, and how a note on a cut is answered without starting a war. Those years are the school. A film program can help a person speak the language and meet collaborators. The credit still comes from being useful on someone else's production until someone trusts you with a piece of the whole.

There is no single licence that makes a person a producer of film or television. The proof hiring people accept is a credit they can check, a finished piece they can watch, and a colleague who will say you told the truth when the day went badly. Some producers later join a guild or a professional association that gathers people who already do this work. Membership can matter for certain kinds of screen jobs and for the community around them. It follows the work. It does not substitute for a schedule you have actually run, a crew you have actually hired, or a cut you have actually delivered.

What to practice, early, is concrete. Learn to read a budget at the level of a department, even if you are not yet allowed to change it. Learn to write a call sheet that a stranger can follow. Learn to take notes in the edit that separate a story problem from a technical one. Learn the names of the people who solve problems in your city: the line producer who always delivers, the editor who can find the scene, the production accountant who will tell you the truth about a wrap cost. Those relationships are the credential that compounds.

What a hiring conversation actually tests

Companies, studios, showrunners, and independent financiers hire producers because something has to get made. The conversation is about a specific project more often than it is about a generic career. They want to know the largest schedule you have held, the size of the crew, and whether you have been in the room for a cut that received hard notes and still shipped. They want a reference who was on that job, ideally a department head or a director, not only a friend from school. A reel or a link to the finished film or episode matters because producing is judged on what audiences and buyers received.

Be precise about your credit. If you coordinated, say you coordinated. If you produced a short, a segment, or a single episode under a senior producer, say that. Over-claiming is fatal in this business because the crew remembers. Under-claiming is also common, and it leaves money on the table. Describe the decisions that were yours: the day you cut from the schedule, the hire you made, the note on the cut you fought for or declined. Bring a calm account of a problem. Hiring managers are listening for judgment, not for a highlight reel of panic.

Where the work sits changes the door. A writers' room adjacent producer job on a series is different from a physical-production job on a feature, and both differ from a development job that lives in drafts and packaging before a camera ever rolls. Read the duties. Ask who you would report to, who reports to you, and which decisions are actually yours. A handsome title with no authority over schedule, crew, or cut is a different job from the one this page describes. Ask while you still can.

Credits that accumulate into a slate

Early credits are often assistant and coordinator work, then associate producer or a producer title on a smaller piece. The middle of the path is a producer who can run a unit, an episode, or a modest feature with a real crew and a real delivery. Later work can mean supervising a slate, hiring other producers, or holding the relationship with the buyer while other people run the day. Some people stay close to the set because that is the work they love. Others move toward development, financing, or the company side, where the schedule is a season and the crew is a staff.

The skills that travel are the same three. You can build a schedule other people believe. You can assemble a crew and keep faith with them. You can sit with a cut and make decisions that serve the story and the delivery. Reputation is the career path in practical terms. The producer who leaves a show with the crew willing to take the next call is the producer who works. The producer who burns departments to save a day may get one more job and then a long silence. Keep a simple record of each credit: what you owned, who can speak to it, and where the finished piece can be seen. That record is what you negotiate from.

May 2025 wages, read from the low median upward

The wages are Occupational Employment and Wage Statistics, May 2025, for Producers and Directors. A film or television reading of this series starts at $45,780. The national median of $90,360 sits $44,580 above that entry. A first office job or a thin year of small credits can sit near the entry figure. A producer who already holds a schedule, hires a crew, and lives with a cut is closer to the national median, and $44,580 is the gap to name if an offer still prices that person as new.

State medians are a different statistic from the high end of the range, and they are worth reading in this order. Connecticut's median is $88,260, which sits under the national median. The District of Columbia's median is $104,270. New York's median is $107,550. New Jersey's median is $119,840. California's median is $129,790, the highest median in this set, and it comes last on purpose so it is not confused with the range top that California also holds. From the national median up to California's median is $39,430. That gap is the distance between typical national pay and typical California pay.

California also holds the high end of the published range, at $306,850. The high end differs from the state median. California's median of $129,790 and California's high end of $306,850 are different statistics. One describes typical pay. The other is the top of the published range. From the national median up to that high end is $216,490. The spread between the highest published state median and the lowest published state median is $90,970. Use that spread as a picture of how far typical pay moves from place to place. Keep it apart from the $306,850 high end.

Which number belongs in the offer talk

Match the statistic to the claim. If you are still assisting and the offer is near $45,780, the national median of $90,360 and the $44,580 between them describe the step toward owning the work. If you already run the schedule, the crew, and the path to a cut, and the offer still sits near entry, say so with the credit in your hand. If the job is in Connecticut, the local median to discuss is $88,260. In the District of Columbia, it is $104,270. In New York, it is $107,550. In New Jersey, it is $119,840. In California, typical pay is the median of $129,790. The $39,430 between the national median and that California median is the location conversation.

The high end of $306,850 belongs in the conversation only when the role is broad in practice: a slate, a staff, a show or a feature the company would struggle to replace. Ask, if someone says California and offers one number, whether they mean the median or the high end of the published range. Those two California figures differ, and mixing them is how offers get misunderstood. The $216,490 from the national median to the high end is a scope distance. The $90,970 state-median spread is a place distance. The $44,580 from entry to the national median is a responsibility distance. Bring the one that matches the job. Then show the schedule you have held, the crew you have hired, and the cut a stranger can finish.

The top of Producer pay — and how to get there with AI

$306,850what Producer pay reaches in California

Highest state-level top-of-range annual wage for Producers and Directors, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Art Directors — reaches $280,320 in New York.

$45,780entry$90,360middle$306,850top end

Producers reach the top of this range by holding what everyone else needs — who is available, what they cost, what was agreed — inside a system the production runs on rather than inside their own memory.

Negotiating agreements with performers and agents, keeping talent files of specialties, past performances and availability, arranging screen tests, and standing between directors, actors and representation is coordination work that scales badly. Producers in the middle of the range absorb it personally and are exhausted by three projects. The ones at the top build the shared thing instead: one current record, wired to the schedule, with deal terms in a form nobody renegotiates by accident. Once other teams adopt it, the person who built it is negotiating a fee rather than accepting a rate.

Your playbook, by where you are now

Just startingKeep the file everyone borrows

  1. Set up one shared record of performers — specialties, past work, representation, availability windows — in Atlassian Confluence and update it daily.
  2. Track each audition, screen test and callback as a ticket in Atlassian JIRA so nothing survives only as a text message.
  3. Sit in on deal calls and write down the terms that keep recurring; that list is your negotiating checklist later.
  4. Cut a rough assembly in Adobe Premiere Pro when a director wants something to look at tonight.

What proves it: A production record colleagues open before they think to ask you a question.

Realistic span: your first two productions

A few years inWire the pieces together

  1. Connect the parts with Zapier so an availability change updates the schedule and reaches whoever it affects.
  2. Ask Claude for a first-pass list of speaking roles and scene days from the script, then verify it against the script before anyone else sees it.
  3. Standardise offers and deal memos in Adobe Acrobat so agreed terms stop drifting between drafts.
  4. Use Descript for scratch narration and temporary voice on cuts, so a review screening never waits on a booth.
  5. Record what the system removed: hours off the schedule build, days off the offer turnaround.

What proves it: A production where another team adopted your system without being told to.

Realistic span: years three to six

ExperiencedOwn the process, then the slate

  1. Make your tooling the house standard and train coordinators on it so it runs where you are not.
  2. Price your fee against what the system takes out of a budget rather than against a coordinator scale.
  3. Take responsibility for a slate instead of a single title, since that is where a producer's judgement is actually valued.
  4. Move toward design and creative direction credits if you want that step across; California holds the largest concentration of this work.

What proves it: A house process running on productions you are not personally staffed on.

Realistic span: year seven onward

The next 90 days

Take ninety days and rebuild your talent and availability file as something other people can use. One record per performer: what they can actually do, what they have done, who represents them, when they are free, and what was agreed the last time you worked together. Put it where the coordinator and the director can read it without asking you. Then wire one automation into it, ideally the one that tells the schedule when an availability changes. The point is not tidiness. It is that a production which depends on your system stops being able to replace you with whoever is cheaper this month, and that is the moment a fee becomes negotiable.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Producer

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Open ChatGPT or Claude and start with script coverage and breakdowns — the reading pile that eats a producer's week. Paste a script (only material you have the rights to) and get structured coverage: logline, synopsis, strengths, weaknesses, comps, and a market assessment. Then have it break the script into elements — cast, locations, props, VFX, stunts — as the skeleton of a schedule and budget.

For pitching, the free and low-cost creative tools are your edge: Midjourney for lookbooks and mood boards, Runway or Sora for quick concept/previs clips, Gamma for pitch decks, and Perplexity to research comps, tax incentives, and financing sources. These turn a text pitch into a visual package for a fraction of what it used to cost.

The one rule, forever: AI is a development and pitch tool, not a rights-holder or a lawyer. Never feed unsold scripts, confidential deal terms, or talent's private information into a consumer AI tool, and never assume AI-generated concept art, music, or footage is cleared for use — generative output can carry copyright and likeness risk. Keep chain-of-title, clearances, and contracts with qualified entertainment counsel; use AI to move faster, not to skip legal.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Turn the reading pile into instant coverage and breakdowns
Why this pays: A producer's edge is developing more good material faster. AI coverage lets you triage ten times the submissions and generate breakdowns in minutes, so you option the right projects before competitors — the pipeline that eventually pays out at $306,850+.
ChatGPTClaudeStudioBinder
1
Paste a script or treatment you control into Claude or ChatGPT and generate professional coverage, then read the material yourself — the AI triages, your taste decides.
2
Break the script into a producible element list.
Copy-paste this prompt
Break down this feature script into a production element list. For each scene give: INT/EXT, day/night, location type, speaking cast, background, key props, wardrobe notes, vehicles, animals, stunts, SFX/VFX, and any special equipment. Then summarize totals: number of locations, cast size, night shoots, stunt days, and VFX-heavy scenes. Flag the five elements most likely to blow the budget.
This is your scheduling and budgeting skeleton. Only paste material you have the rights to, and verify the breakdown against the actual pages.
3
Import the breakdown into StudioBinder to build shooting schedules, stripboards, and call sheets from the same source of truth.
What you'll haveTen times the material developed per week and instant breakdowns — the deal flow that fills a real slate.
2
Build a knockout visual pitch package for pennies
Why this pays: Financing and talent attach to a vision they can see. AI concept art, mood films, and decks let a producer walk in with a package that used to cost thousands in design — closing money and cast that move a project from development to greenlight.
MidjourneyRunwayGamma
1
Generate a lookbook in Midjourney — tone, palette, key locations, character energy — to anchor the visual language of the pitch.
2
Cut a 30-60 second mood/proof-of-concept film in Runway or Sora from your reference images to show, not tell.
Copy-paste this prompt
Write a shot list and image-prompt set for a 45-second mood reel that sells the tone of [a neo-noir thriller set in a rain-soaked port city]. Give me 8 sequential shots with camera, lighting, and color direction, plus a Midjourney/Runway prompt for each, and a one-line VO or title card to bridge them.
Use AI visuals to convey tone in the pitch, and disclose they're concept, not final footage. Don't imply likeness of real people or use unlicensed IP.
3
Assemble the deck in Gamma: logline, comps, market, package, budget top-sheet, and the visuals — investor-ready in an afternoon.
What you'll haveA cinematic pitch package produced fast and cheap — the visual edge that attaches talent and closes financing.
3
Draft budgets, schedules, and finance plans faster
Why this pays: Producers live or die on the numbers. AI that drafts a budget top-sheet, schedule logic, and a financing/incentive plan lets you model more scenarios and pitch a tighter, more fundable package — directly protecting your fee and backend.
Movie Magic BudgetingChatGPTPerplexity
1
Build the real budget in Movie Magic Budgeting (the industry standard financiers expect), but use ChatGPT to draft the top-sheet logic and stress-test line items first.
2
Model the financing stack and find the incentives.
Copy-paste this prompt
For a [$2.5M independent feature, 22 shooting days, single mid-size city], sketch a realistic financing stack: equity, gap/pre-sales, tax incentives, and soft money. Then compare film tax-incentive programs in [Georgia, New Mexico, and one Canadian province] for this budget — rebate vs credit, minimum spend, qualifying costs, and any cap. Note what I must verify with each film office and a production accountant.
Incentive rules change constantly — treat AI output as a lead list, then confirm current terms with the film office and your production accountant before you build them into the budget.
3
Use Perplexity to research current sales-agent comps and recent deal ranges for similar titles so your revenue projections are grounded.
What you'll haveTighter, more fundable budgets and a real incentive strategy — protecting your fee and the project's greenlight odds.
4
Run development coverage on the market, not just the script
Why this pays: Knowing what sells — genre cycles, comps, buyer appetite — is what lets a producer chase fundable projects instead of passion dead-ends. AI-accelerated market research is the difference between a slate that sells and one that stalls.
PerplexityChatGPTClaude
1
Use Perplexity to pull recent comparable titles, their budgets, buyers, and performance, and to map which buyers are actively acquiring in your genre and budget range.
2
Pressure-test a project's commercial case before you commit development time.
Copy-paste this prompt
Act as a tough development executive. Here's my project: [logline, genre, budget tier, intended audience]. Assess its commercial case: who are the realistic buyers/distributors right now, what are 5 comparable recent titles and how did they perform, what's the audience and how do you reach it, and what are the three biggest reasons a financier passes? Then suggest positioning that improves fundability without changing the core story.
Use it to sharpen positioning and comps, not to chase trends into a soulless project. Your judgment on material is the asset AI can't replace.
3
Keep a living AI-summarized tracker of buyer mandates and market shifts so your pitches match what's actually being bought this quarter.
What you'll haveA market-aware slate and pitches tuned to live buyer appetite — projects that get made, not just optioned.
5
Package and self-distribute to own more upside
Why this pays: The biggest producer money is in ownership — packaging your own IP and capturing distribution/backend rather than a flat fee. AI lets a lean producer handle the marketing, deliverables, and audience-building that make owning the upside viable.
ChatGPTMidjourneyDescript
1
For an owned project, use ChatGPT and Midjourney to build the marketing kit — key art concepts, synopsis variants, festival-submission copy, and a press EPK — without an agency.
2
Plan the distribution and audience path.
Copy-paste this prompt
I own worldwide rights to [a 90-minute genre documentary]. Draft a hybrid distribution plan: festival strategy and target festivals, aggregator vs direct routes to major streamers/TVOD, a realistic windowing sequence, and a grassroots audience-building plan for the niche [subject] community. Include the deliverables (deliverables list, QC, captions, artwork specs) I'll need and rough costs to budget for.
AI maps the path and deliverables; confirm platform specs and any deal terms with an aggregator and counsel. Owning distribution means owning the obligations too.
3
Cut trailers, social clips, and festival submissions efficiently in Descript so a small team can sustain a real campaign.
What you'll haveThe ability to package and take a project to market yourself — capturing the ownership upside behind the top-of-range producers.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $306,850 tier.

Month 1
Systematize coverage and breakdowns with ChatGPT/Claude; move breakdowns into StudioBinder to triage far more submissions.
Months 2-3
Master the AI pitch package — Midjourney lookbooks, a Runway/Sora mood reel, a Gamma deck — for your top one or two projects.
Months 3-6
Build AI-assisted budgets and financing/incentive plans in parallel with Movie Magic; ground projections in real market comps.
Months 6-12
Run market coverage on your whole slate and tune positioning to live buyer mandates; start taking packaged projects out.
Year 2
Package and self-distribute an owned project to capture backend and ownership — the top-of-range producer's real money.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Wong / Wong, The First Days of School, 5th ed.

Same live Harry K. Wong Publications 5th already on elementary-teacher / high-school-teacher / kindergarten-teacher / middle-school-teacher / preschool-teacher / teacher-assistant / online-tutor / esl-teacher / art-teacher / foreign-language-teacher / reading-specialist / ged-instructor / montessori-teacher / tutor / dance-instructor / teacher-k-12 / professor / seminary-professor / educational-psychologist / debate-coach / instructional-coordinator / learning-disability-specialist / teaching-fellow / children-s-librarian / nanny / student-advisor / art-therapist / spa-manager / admissions-director / pharmaceutical-sales-rep / school-bus-coordinator / restaurant-general-manager / sommelier-consultant / shipping-clerk / telehealth-nurse / study-abroad-advisor / emergency-dispatcher / railroad-switchman / management-consultant / animator / hospice-nurse / front-desk-agent / concierge / storyboard-artist / maitre-d / customs-broker / bicycle-mechanic / court-reporter / motorcycle-mechanic / hostess / college-admissions-counselor / engraver / copy-editor / set-designer / small-engine-mechanic / stockbroker (ASIN 0976423383). This leftover page is BLS Producers and Directors (SOC 27-2012); title is Build the Tool the Production Runs On; H1 is The producer who builds what a team cannot work without; just-starting track is Keep the file everyone borrows; few-years track is Wire the pieces together; experienced track is Own the process, then the slate; the playbook centers making the tooling the house standard and training coordinators on it so the process runs without the producer, with proof being a house process running on productions you are not personally staffed on; start-here is Open ChatGPT or Claude and start with script coverage and breakdowns; one-rule is AI is a development and pitch tool, not a rights-holder or a lawyer — never feed unsold scripts, confidential deal terms, or talent's private information into a consumer AI tool. This classroom-practice guide directly supports that standard-authorship and staff instruction. Classroom-management staple for leftover new-hire / instructional-delivery work — not leftover Lemov as the lead (that is bailiff / financial-aid-counselor / immunologist / nuclear-physicist) and not leftover Praxis as a dump. Confirm 0976423383. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 7:40:04 AM PT. Source page: elementary-teacher.

What Producers earn by state

These are the Bureau of Labor Statistics’ own figures for Producers and Directors, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

California
$129,790
highest of them · +44% vs the national median
Arkansas
$38,820
lowest of the 36 states and D.C. that qualify · -57% vs the national median
The same job pays $90,970 more a year at the median in California than in Arkansas — 234% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. California also carries the top of this job’s range, $306,850 — the figure quoted at the head of this page.
California$129,790New Jersey$119,840New York$107,550District of Columbia$104,270Connecticut$88,260Oregon$87,460Rhode Island$84,250Washington$81,550

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 27-2012. 36 states and D.C. clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace producers?
No — it changes what a producer can do alone. AI can't take a meeting, earn a filmmaker's trust, close financing, manage a set crisis, or carry the risk and relationships a production runs on. It removes the grunt work of coverage, decks, breakdowns, and research, so one producer can develop and pitch far more projects. The producers who use it will out-package those who don't.
Is it safe to put scripts and deal terms into ChatGPT?
Only material you control, and never confidential deal terms or talent's private information. Unsold scripts and contracts should stay out of consumer tools or go into enterprise tiers with data-retention off. Assume anything you paste could be retained unless the settings say otherwise, and keep chain-of-title and negotiations with counsel.
Can I use AI-generated art, music, or footage in my actual project?
Tread carefully. Generative concept art and mood reels are great for pitching, but using AI output in a finished, distributed project raises copyright, likeness, and clearance questions that are still unsettled and vary by tool and guild agreement. Clear anything final with entertainment counsel, and never generate the likeness of real people or use unlicensed IP.
How does AI actually increase a producer's income?
Producer money scales with volume of projects developed, quality of packaging, and ownership of upside — not an hourly rate. AI multiplies how many projects you can develop, pitch, and market at once, and it lets a lean producer self-distribute owned IP to capture backend. More fundable packages plus owned upside is how you reach $306,850 and beyond.
Producer vs. line producer vs. showrunner — does AI help all of them?
Yes, differently. A creative/packaging producer gains most from coverage, pitch packages, and market research; a line producer gains most from AI-assisted budgeting and scheduling. Either way, the leverage is doing more, faster, with a smaller team — which is exactly how independent producers stretch a fee into a real business.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources