{"month":"2026-08","total_jobs":2391,"unique_jobs":2391,"platforms":{"n8n":960,"Zapier":1070,"Make.com":421,"Power Automate":29},"applications":{"Jira":9,"Xero":26,"Zoho":72,"Asana":37,"Excel":67,"Slack":193,"Notion":127,"Trello":14,"ClickUp":88,"HubSpot":239,"Airtable":208,"Monday.com":52,"QuickBooks":46,"Salesforce":68,"GoHighLevel":600,"Google Sheets":241},"ai_keywords":{"MCP":73,"RAG":104,"Voice AI":184,"AI Agents":363,"LangChain":63,"Embeddings":25,"OpenAI/GPT":534,"Vector DBs":60,"AI Builders":36,"Claude/Anthropic":507},"crm_mentions":1037,"avg_rate":36.91,"median_rate":32.5,"p25_rate":18.25,"p75_rate":50,"max_rate":250,"rate_buckets":{"entry":244,"expert":36,"premium":33,"mid_tier":117,"experienced":162,"ultra_premium":9},"high_paying_count":78,"high_paying_examples":[{"rate":250,"title":"AI & Data Engineer LLM-Driven Workflows, Data Pipelines & Automation","budget":"","description":"We’re looking for an experienced AI & Data Engineer to help us build reliable data pipelines, LLM-powered workflows, and automation systems.  You’ll work across AI, data engineering, APIs, ETL, automation, and LLM integrations, turning raw data and business processes into scalab…"},{"rate":250,"title":"AI & Data Engineer LLM-Driven Workflows, Data Pipelines & Automation","budget":"","description":"We’re looking for an experienced AI & Data Engineer to help us build reliable data pipelines, LLM-powered workflows, and automation systems.  You’ll work across AI, data engineering, APIs, ETL, automation, and LLM integrations, turning raw data and business processes into scalab…"},{"rate":200,"title":"GTM Engineer — Clay, Customer.io, APIs & AI Automation","budget":"","description":"Revenue here is an engineering problem. Programmatic outbound, an AI SDR, product-signal routing, lifecycle automation — systems doing the work a twenty-person team would otherwise do. Some of it runs on our own AI platform, which means your work literally talks back. We're a we…"},{"rate":150,"title":"AI Dev that's both good at n8n + reactivation SMS / Email campaigns.","budget":"","description":"Plain and simple if you're a gun at n8n workflows, you can speak to business owners directly, you have a sense of ownership and creativity with SMS + Email reactivation campaigns.  Let's hear from you. Plenty of opportunity here. Plenty."},{"rate":150,"title":"AI operations agent for event fleet logistics","budget":"","description":"We run pop-up vehicle fleets at major events (ground transportation). Today, a live AI voice agent handles our driver check-in calls (built on Retell + n8n), and the ops team works in Google Sheets. We want a complete AI ops layer on top of that. Propose the stack you would use-…"},{"rate":150,"title":"Fractional Controller / FP&A Professional — Construction","budget":"","description":"We are a fractional accounting and finance firm seeking a strong Controller/FP&A professional to bridge the gap between our bookkeepers and CFOs.  You will review financial data prepared by bookkeepers and turn it into accurate reports, forecasts, and actionable insights for the…"},{"rate":150,"title":"GoHighLevel Consultant — Home Services / Roofing (advisory, 5+ years)","budget":"","description":"We're a GoHighLevel agency taking on a large home services build. We're strong at GHL. We are not deep in the contractor space, and that's the gap we're hiring for.  This is advisory, not execution. Our team builds. We want someone who has done this repeatedly in roofing or home…"},{"rate":150,"title":"Senior AI Systems Architect Needed to Build Advanced Business AI Platform","budget":"","description":"We are looking for an exceptional **Senior AI Systems Architect / AI Agent Engineer** to help us design and build a sophisticated AI-powered business operating system.  This is **not a basic chatbot or simple automation project**.  We want to build an intelligent system that can…"},{"rate":150,"title":"Workflow Automation Specialist for Restoration Business","budget":"","description":"I need someone to help me automate workflows and use agents in my restoration business. I'd like to use Claude but am open to any tool. I'd like a long-term relationship - start with the first highest priority workflow and then go from there."},{"rate":130,"title":"B2B Growth Campaign Manager","budget":"","description":"We are searching for a B2B Growth Campaign Manager LinkedIn, Email Outreach, Meta Ads, SMS.  We are looking for an experienced B2B Growth Campaign Manager to manage and scale outbound and paid lead-generation campaigns in the US market.  The role includes managing LinkedIn outre…"},{"rate":130,"title":"B2B Growth Campaign Manager","budget":"","description":"We are looking for an experienced B2B Growth Campaign Manager to manage and scale outbound and paid lead-generation campaigns in the US market.  The role includes managing LinkedIn outreach, cold email outreach, Meta campaigns, AI-based optimization, and full automation flows de…"},{"rate":130,"title":"B2B Growth Campaign Manager","budget":"","description":"We are looking for an experienced B2B Growth Campaign Manager to manage and scale outbound and paid lead-generation campaigns in the US market.  The role includes managing LinkedIn outreach, cold email outreach, Meta campaigns, AI-based optimization, and full automation flows de…"},{"rate":125,"title":"Fractional Chief Growth & Data Officer (CMO/CGO) – Healthcare Growth Company","budget":"","description":"Fractional Chief Growth & Data Officer (CMO/CGO) – Healthcare Growth Company  About Edin Vitality  Edin Vitality is a rapidly growing men's health and surgical organization focused on sexual medicine, urology, and advanced surgical solutions.  We generate significant lead volume…"},{"rate":125,"title":"Tech Stack & Operations Consultant: CRM, Help Scout, SMS & Multi-Store Shopify Automations","budget":"","description":"About Us  We are a 5-person e-commerce business with 3 customer service reps and 2 sales reps. We run four separate company websites on Shopify, use Help Scout for email support, use RingCentral for phone/SMS, and rely on Google Sheets for supplier tracking updates. We currently…"},{"rate":120,"title":"Full-time GTM/CMO for B2B Lead Gen (High Volune)","budget":"","description":"We book meetings at scale for financial services companies — business funding through to pre-IPO secondary shares in Anthropic, OpenAI, Stripe and Databricks. We've sent 500M+ emails, booked 50,000+ meetings, and we're scaling 3x ahead of an acquisition. We run our own sending i…"},{"rate":120,"title":"HubSpot Revenue Operations Specialist","budget":"","description":"We are seeking a skilled freelancer to enhance our HubSpot revenue operations. The role involves custom integrations and coded workflows with platforms like Xero and Chargebee. The ideal candidate will have experience in marketing automation and CRM systems, with a focus on proj…"},{"rate":115,"title":"Fractional B2B Marketing Manager — Content, Events & Webinars | Financial Services | HubSpot","budget":"","description":"About Us  We are Piedmont Fund Services, a fund administration firm serving the alternative investment industry — private equity, private credit, hedge funds, and real assets. Our clients are fund managers and institutional investors who value precision, discretion, and operatio…"},{"rate":110,"title":"AI-Native Growth Lead​ — launch a consumer brand​ for chat-based​ custom printing (viral +​ paid)","budget":"","description":"About us: Rendreal (rendreal.ai) is building the agent-native way to buy custom-printed products: you describe what you want in a chat — a flyer, business cards, posters, a photo book — and AI designs it, quotes it, and a real factory prints and ships it. No templates, no design…"},{"rate":100,"title":"# Technical Marketing Operations Manager (Funnels, Automation & Systems)","budget":"","description":"We're looking for a highly technical Marketing Operations Manager who can take marketing ideas and turn them into reliable, scalable systems.  You'll work directly with the founder to build, launch, maintain, and optimize the technical infrastructure behind multiple marketing ca…"},{"rate":100,"title":"AI Automation Developer for Construction Job Workflow System","budget":"","description":"I run a small construction/property maintenance business on the Gold Coast/Tweed called Revamp GC.  I’m building a private AI/automation system around the business. I already have a local Codex-built prototype started, but I’m looking for someone experienced to help improve the …"}],"rates_sample_size":928,"narrative":{"x_post":{"content":"1/\nThe median hourly rate on Upwork's automation market hit $32.50 in August 2026 — down from the $35 it held for 9 of the last 12 months. One month doesn't make a trend, but it's the first meaningful move off that floor since December 2025.\n\n2/\nPlatform snapshot (August 2026 on the hybrid scrape basis):\nZapier: 1,070 mentions\nn8n: 960\nMake.com: 421\n\nAll three platforms are down from July — but raw counts aren't comparable month-to-month on a stable basis here, so watch the mix, not the volume. Zapier still leads. n8n still runs closest behind. Make trails both by a wide margin.\n\n3/\nGoHighLevel held at 600 mentions and is the only major app that's been flat-to-rising across the last three months of comparable data. HubSpot came in at 239. Airtable at 208. Excel dropped hard to 67 — the July spike (353) looks like it was a single-month anomaly, not a recovery.\n\n4/\nAI keyword counts in platform-automation jobs this month (overlapping mentions, not unique jobs):\nOpenAI/GPT: 534\nClaude/Anthropic: 507\nAI Agents: 363\nVoice AI: 184\nMCP: 73\nRAG: 104\n\nRAG dropped sharply from July (375 → 104). MCP and Voice AI held steadier. These are mention counts — one job can hit multiple categories.\n\n5/\n78 jobs posted at $75/hr or above. Top of market: $250/hr for LLM-driven data pipelines, $200/hr for GTM engineering. The $100–150 band is active — AI systems architects, n8n specialists, GHL consultants with vertical depth. The ceiling exists. It just requires a specific skill stack to reach it.\n\n6/\nThe mean rate dropped to $36.91 — the lowest average in this series. The median dropped to $32.50. Both moved the same direction in the same month, which is worth watching. One month is noise. Two months in a row would be a signal. Check back in September.\n\n7/\nFull report → upwork.redwaterrev.com","filename":"x.md"},"skool_post":{"content":"Here is the State of the Upwork report for August 2026. This includes trends from June 2025 → Now\n\nContinued from work originally published by Aaron Melton at Ascend Automation Agency.\n\nTL;DR: Upwork Automation Analysis: Homepage (https://upwork.redwaterrev.com/) | August's Report (https://upwork.redwaterrev.com/archive/2026-08) | 12 Month Report (https://upwork.redwaterrev.com/report)\n\nFor anyone new here: this is the same State of the Upwork report Aaron Melton used to run for the community.\n\nI've just picked it up and kept it going using the same data pull and the same prompts as the original, with a handful of extra AI terms added to keep pace with the agentic-coding surge (see full list of monitored words here: https://upwork.redwaterrev.com/about).\n\nThe three links up top are the homepage, the monthly report, and the 12 month analysis.\n\nBeyond that, you can view the archived history, the last 7 days of data via \"Pulse,\" and an overview of the project under \"about\"\n\nCheers friends\n\n---🔻 Written by the robot 🔻---\n\nAugust 2026 Upwork Automation Market Update\n\nMarket Overview:\n\nFlat rate, softer weekdays — that's the standing condition, and August didn't change it. The median hourly rate held at $32.50 and platform volume ran a touch softer than July on a clean-day basis. That's the whole month in one sentence.\n\nA caveat before any number below: August's capture broke twice. The platform query — the one behind every headline figure — failed on two runs, wiping out the 2026-08-11 and 2026-08-17 posting days. We backfilled them on 2026-08-31 by re-querying Upwork's index across the whole month. Those days are partly recovered, not whole. The backfill also re-tagged roughly 127 jobs from the broad automation bucket into the platform bucket on days that were never broken, which inflates the stored August platform count by about 6% relative to how July was measured. So the raw stored total of 2,391 is NOT directly comparable to July's 2,549. Don't read a month-over-month change off those two numbers in either direction.\n\nThe honest volume comparison is per-weekday over days that captured cleanly, measured before the backfill: about 88 platform jobs per weekday in August versus 97 in July. That's a high-single-digit softening — the kind of late-summer easing Aaron's own series showed in 2025 (July→August ran -2.2% that year). Nothing dramatic. If you saw a scary \"-6% total\" headline somewhere, ignore it; it's an artifact of a measurement change, not the market pulling back.\n\nPlatform Performance:\n\nPer the capture caveats above, treat these counts as directional, not precise. What's real is that all three platforms have declined roughly 30% from their June 2025 baseline and continue to drift in the same shared direction. There is no horse-race here.\n\n• Zapier — 1,070 platform jobs. Still the volume leader, as it has been in nearly every month of the series. 📉\n• n8n — 960 platform jobs. The technical-depth option. Down from July's 1,055, in line with the general weekday softening. 📉\n• Make.com — 421 platform jobs. The smallest and weakest of the three, and the print that looks worst this month — but this is exactly the platform where a partly-recovered capture hurts most, so don't over-read the single number. 📉\n\nReality check: the platform \"leadership\" drama that used to fill these posts was noise. Zapier leads on volume, n8n is where the technical builds live, Make trails. That's the durable structure. Since June 2025, all three sit near -30%. Pick your platform based on the clients you want, not on this month's arrow.\n\nApplication Trends:\n\n• Most Stable / Consistent Performers: GoHighLevel held up best of the tracked apps at 600 mentions, essentially flat against July's 585. This has been the most durable specialization in the dataset for over a year. HubSpot at 239 remains steady in its usual band.\n• Recovery Stories: Nothing to call. Anyone claiming a \"rebound\" this month is reading noise off a broken-then-backfilled capture.\n• Notable Declines: Excel dropped to 67 from July's 353 — that swing is almost certainly capture and re-tagging noise, not a real collapse in Excel demand, so I'm flagging it rather than narrating it. Airtable (208), Google Sheets (241), and Slack (193) all printed lower, consistent with the general softer capture.\n\nKey insight: the standing signal in the application layer is CRM demand, and GoHighLevel specifically. It's the one bet a year of data keeps pointing the same direction on. The rest of the app-level month-to-month wobble is small numbers moving around — don't chase it.\n\nAI Tier:\n\nAI is trending toward table stakes in automation work, and the per-term counts keep saying so. These are overlapping mention counts — a single job naming OpenAI, RAG, and agents is counted three times — so they are NOT a share of the market, and there is no honest \"X% of jobs mention AI\" figure to give you. Anyone quoting one made it up.\n\nWithin the platform-automation set (2,391 jobs this month), the most-referenced AI terms were:\n\n• OpenAI/GPT — 534 mentions (July: 643)\n• Claude/Anthropic — 507 mentions (July: 621)\n• AI Agents — 363 mentions (July: 413)\n• Voice AI — 184 mentions (July: 246)\n• RAG — 104 mentions (July: 375)\n• MCP — 73 mentions (July: 112)\n\nAcross the broader automation market (3,636 jobs this month), the same terms run higher in raw count: OpenAI/GPT 648, Claude/Anthropic 619, AI Agents 501, Voice AI 227, MCP 118. That broader set is a wider net used only for the AI picture — don't confuse it with the platform volume above.\n\nThe August per-term numbers are down across the board, but so was clean-day capture, so read direction cautiously. The durable, qualitative read stands: AI references are a baseline expectation in this market now, and the money is in building production agents and integrations, not in mentioning AI in a title.\n\nHourly Rates:\n\nMedian hourly rate: $32.50, down from $35 in July. Lead with the median — it's capture-independent and it's the typical job. The mean fell to $36.91 from July's $41.41, which is a bigger move, but the mean is easily levered by a handful of high or low postings and this month's capture was disrupted, so I'd treat one soft mean print as unconfirmed until a second month backs it up. The median has sat at $35 for most of the series; a single $32.50 print is worth noting, not declaring a re-base on.\n\n• 25th percentile: $18.25\n• Median: $32.50\n• 75th percentile: $50.00\n• Max: $250/hr\n\nPremium opportunities note: 78 jobs posted at $75/hr or above this month, against a sample of 928 rated jobs. Premium work is real but scarce — and getting scarcer as total volume drifts down. The top of the board was an AI & Data Engineer role for LLM-driven pipelines at $250/hr and a GTM Engineer role at $200/hr. The pattern in the premium tier is consistent: it rewards people who build systems (agents, data pipelines, integrations), not people who list tools.\n\nStrategic Perspective:\n\nUnderstanding the shift: for over a year now the data has told a calm story — slowly declining volume, a flat $35 median, rising AI references, and durable CRM demand. This month adds a soft median print and a softer weekday capture on top of a broken-then-backfilled month. None of that is a turning point. It's the same trend line, with more measurement noise than usual.\n\nWhat the data shows: the fixed-price share sits at 37.1%, continuing the slow multi-month shift toward clients scoping automation as defined deliverables rather than open-ended hourly work. That's a more concrete signal for how to price than any month's rate wobble.\n\nMarket interpretation: don't over-read August. The two lost days, the backfill, and the re-tagging make this a messier month to measure, and the honest reads — flat-to-slightly-soft weekday volume, median holding in its long-run band, AI trending up over the quarter — are the ones that survive the noise.\n\nPractical Recommendations:\n\n• For All Consultants: plan for a market that runs steadily rather than one that's booming or crashing. The typical job pays in the low-to-mid $30s and has all year. Escaping that gravity takes a real specialization, not a repositioning line.\n• Platform-Specific Guidance: Zapier for volume and breadth of client, n8n for technical/agentic builds, Make as a secondary skill. All three are down ~30% since June 2025 — choose on client fit, not on this month's count.\n• Opportunity Areas: CRM specialization, GoHighLevel above all, remains the best-supported bet in the dataset. Pair it with AI-build capability — production agents, data pipelines, voice — where the premium rates actually live.\n• Avoid / Pivot: don't chase the app-level or platform-level month-to-month wobble, and don't price off a single soft mean. Move toward outcome and package pricing as fixed-price work keeps climbing.\n\nKey Takeaways:\n\n1. August's capture broke twice and was partly backfilled — the raw 2,391 total is NOT comparable to July's 2,549.\n2. The honest volume read is per-weekday over clean days: about 88/weekday in August vs 97 in July, a high-single-digit softening.\n3. Median hourly held near its long-run band at $32.50; one soft print is not a re-base.\n4. The mean fell to $36.91, but the mean is noisy and the month was disrupted — treat it as unconfirmed.\n5. All three platforms sit near -30% since June 2025; there is no uniquely resilient platform.\n6. Zapier leads volume, n8n leads technical depth, Make trails — standing structure, not news.\n7. GoHighLevel (600) held its highs; CRM specialization is the most durable call in the data.\n8. AI references remain heavy but are overlapping mention counts — no honest \"share of jobs\" exists.\n9. Premium work is real but scarce: 78 jobs at $75/hr+; the top pays for building, not mentioning.\n10. Fixed-price share sits at 37.1%, continuing the slow shift toward defined-deliverable work.\n\nBottom Line:\n\nAugust was a messy month to measure and a calm month to read. The platform query failed twice, we backfilled the gaps, and the backfill re-tagged enough jobs that the stored total can't be compared straight to July's. Strip that away and look at clean weekdays, and volume was flat-to-slightly-soft — the ordinary late-summer easing Aaron's own 2025 data showed too. That's the whole story on volume.\n\nOn pay, the median came in at $32.50 and the mean at $36.91. Both are down, but the median has held near its long-run band for over a year and the mean is easily levered by a few postings in a disrupted month. I'm noting the soft print, not declaring a new floor. If September confirms it, we'll talk. If it reverts, this was noise — which is exactly what a year of over-called \"floors\" taught us to expect.\n\nThe signals that survive the measurement mess are the boring, durable ones: CRM demand is steady with GoHighLevel leading, AI references keep climbing toward baseline expectation, premium work exists but is scarce and rewards builders, and clients keep shifting toward fixed-price deliverables. Position around those. Package your work, go deep on a CRM, build real AI systems, and ignore the month-to-month arrows.\n\nTrend lines, not turning points. August didn't move the trend line.\n\n⚠️ DISClAIMER:\nData scraped from Upwork via Apify. Analysis assisted by AI. Not financial advice. Talk to humans before making business decisions.\n\nPrevious State of the Upwork posts:\nAaron's archive: ascendautomationagency.github.io/upwork-analysis/\nRedwater archive (includes Aaron's): upwork.redwaterrev.com/archive","filename":"skool.md"},"linkedin_post":{"content":"The median hourly rate in August's platform-automation data came in at $32.50 — the lowest in the 12-month series.\n\nThree other things in the August data worth noting:\n\nThe mean-median gap widened to $4.41 ($36.91 mean vs. $32.50 median). That gap isn't the widest in the series — February 2026 ran $8.27 and December 2025 ran $7.58 — but it signals the same thing it always does: a handful of high-rate postings pulling the average up while the typical posting sits lower.\n\nHigh-paying jobs (≥$75/hr) came in at 78. That's down from 105 in July and 82 in June — but those three months aren't cleanly comparable. A scrape-methodology change in late June stepped up platform capture significantly, so raw count swings across that boundary aren't market moves. What the August number does show: the ultra-premium tier (≥$150/hr) held at 9 postings, and the top rate posted was $250/hr for an AI + data engineering role combining LLM workflows, ETL pipelines, and automation systems.\n\nGoHighLevel was the most-mentioned application at 600 postings, ahead of Google Sheets (241), HubSpot (239), and Airtable (208). GoHighLevel has held the top application slot consistently — it's the standing structure of this market, not this month's news.\n\nOn the AI side: OpenAI/GPT appeared in 534 platform-automation postings and Claude/Anthropic in 507. These are overlapping mention counts — one job can hit both — so they don't add up to a share of the market. In the broader automation dataset (3,636 jobs), AI Agents appeared 501 times and MCP 118 times. The direction across the three months we've tracked is mixed by term; no clean trend yet.\n\nRead the full report → upwork.redwaterrev.com","filename":"linkedin.md"},"app_comparison_md":{"content":"# Upwork Automation Market: Platform & Application Comparison\n## August 2026 Analysis\n\n**Report Date:** September 2026\n**Data Period:** June 2025 baseline; detailed series September 2025 – August 2026 (12 months shown)\n**Total Jobs Analyzed:** 2,391 (platform set, August 2026)\n\n---\n\n## Executive Summary\n\nAugust 2026's headline is quiet: the median hourly rate printed $32.50 and the platform mix barely moved. On the volume line, August is the first month since the SOTU handoff where a clean month-over-month comparison is genuinely hard to make — the platform scrape failed on two August days, those days were backfilled at month-end, and the backfill also re-tagged jobs across the whole month. So the raw stored total (2,391) is **not** directly comparable to July's 2,549. **On the honest comparison — platform jobs per weekday over cleanly-captured days, measured before the backfill — August ran about 88 jobs/weekday against July's 97, a high-single-digit softening.** That is a normal late-summer easing, not a contraction.\n\nZapier held at 1,070 jobs and n8n at 960, with Make.com at 421 — the three platforms sitting in their usual order, Zapier the volume leader, n8n the technical-depth option, Make the weakest. **None of these are a monthly \"leadership\" story; measured from the June 2025 baseline all three are down roughly the same ~30%.** GoHighLevel stayed near its highs at 600 jobs, the single most durable application in the dataset. **The median rate at $32.50 is the second time in the series it has printed below $35** — the other being December 2025's $30 — and the mean fell to $36.91 from July's $41.41, its lowest read in the series.\n\nThe AI-tier signal continues to be the clearest emerging trend in the data: OpenAI/GPT (534 mentions) and Claude/Anthropic (507) lead the platform-set AI terms, with AI Agents at 363 and Voice AI at 184. These are overlapping mention counts, not a share of jobs. The fixed-price share sat at 37.1%, continuing its slow multi-month drift from 42.9% in May.\n\n**Key August Insight:** This is a calm month wearing a noisy hat. Two things moved and both are measurement, not market — the lost-and-backfilled August days, and the re-tagging that inflated the stored August total. Strip those out and you get a market that softened a few points into late summer (matching Aaron's -2.2% July→August 2025), kept its median pay near where it's been all year, and kept shifting slowly toward fixed-price, defined-deliverable work. Don't read a story into the volume line this month.\n\n---\n\n## Platform Comparison: Twelve-Month Evolution\n\n### Major Automation Platforms\n\n| Platform | Sep | Oct | Nov | Dec | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Jul MoM | Since Jun '25 |\n|----------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|---------|---------------|\n| **Zapier** | 2,233 | 2,132 | 1,662 | 1,753 | 1,767 | 1,721 | 1,827 | 1,785 | 1,021 | 972 | 1,223 | 1,070 | 📉 -12.5% | 💥 -30.5% |\n| **n8n** | 2,099 | 2,024 | 1,729 | 1,663 | 1,535 | 1,403 | 1,465 | 1,252 | 805 | 815 | 1,055 | 960 | 📉 -9.0% | 💥 -27.9% |\n| **Make.com** | 967 | 1,027 | 811 | 751 | 725 | 743 | 806 | 781 | 638 | 593 | 631 | 421 | 📉 -33.3% | 💥 -30.7% |\n| **Power Automate** | 33 | 42 | 20 | 28 | 37 | 22 | 29 | 30 | 20 | 18 | 30 | 29 | 🟡 -3.3% | 🟢 flat |\n\n**Status Indicators:**\n- 🚀 Strong Growth (>10%)\n- 🟢 Stable/Growth (0-10%)\n- 🟡 Slight Decline (0-5%)\n- 📉 Declining (>5%)\n- 💥 Collapse (sustained >20% since June 2025 baseline)\n\n*A note on the MoM column: raw August counts are not directly comparable to July. July was measured live on the full hybrid basis; August lost two capture days (backfilled at month-end) and the backfill re-tagged ~127 jobs into the platform set across the month, inflating the stored August total ~6%. The MoM figures above use the stored counts and should be read as directional only. The capture-independent signals — median rate and platform share — are the real read.*\n\n### Platform Analysis\n\n**Zapier (Volume Leader, Standing Structure)**\n- Current: 1,070 jobs (43.7% of the three-platform total)\n- Trend: down since July, but the stored counts straddle the August backfill\n- Total: **-30.5% since June 2025**, in line with the other two platforms\n- **Assessment:** Zapier remains the volume leader as it has for the entire series. There is no leadership drama here — its ~30% drawdown from June matches n8n and Make almost exactly.\n- **Recommendation:** Primary platform for volume; the case rests on breadth of client demand, not on any monthly growth arrow.\n\n**n8n (Technical-Depth Option)**\n- Current: 960 jobs (39.2% of the three-platform total)\n- Trend: n8n has oscillated in a 805–1,055 band across the SOTU era; August sits mid-band\n- Total: **-27.9% since June 2025** — the same neighborhood as Zapier and Make\n- **Assessment:** The old \"uniquely resilient n8n\" thesis was a baseline artifact. On a June baseline, n8n declined about as much as everything else. What is real is that n8n remains the technical-depth / self-hosted option and shows up heavily in the AI-agent job descriptions.\n- **Recommendation:** Strong secondary or primary for technically-deep, AI-adjacent work; not because it's \"winning,\" but because of the kind of client it attracts.\n\n**Make.com (Weakest of the Three)**\n- Current: 421 jobs (17.2% of the three-platform total)\n- Trend: August's 421 is the lowest platform read in the series, but it sits behind the August capture noise — treat the single print cautiously\n- Total: **-30.7% since June 2025**, the deepest of the three by a hair\n- **Assessment:** Make has been the smallest and weakest of the three platforms all year. That is standing structure, not this month's news. The low August print is partly a light-capture artifact.\n- **Recommendation:** Secondary skill, not a primary specialization. Same advice as it's been all year.\n\n**Power Automate (Niche Enterprise Tool)**\n- Current: 29 jobs\n- Trend: -3.3% MoM, effectively flat\n- Total: flat since June 2025\n- **Assessment:** Too small for standalone specialization; sits inside the Microsoft enterprise ecosystem.\n- **Recommendation:** Microsoft-shop clients only.\n\n---\n\n## Application Ecosystem: August 2026\n\n### Top 15 Applications by Job Volume\n\n| Application | Sep | Oct | Nov | Dec | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Jul MoM | Since Jun '25 | Status |\n|-------------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|---------|-------|--------|\n| **GoHighLevel** | 662 | 659 | 579 | 562 | 645 | 585 | 693 | 687 | 476 | 483 | 585 | 600 | 🟢 +2.6% | 🚀 strong | **Most durable app** |\n| **Google Sheets** | 719 | 726 | 597 | 552 | 537 | 495 | 526 | 532 | 313 | 261 | 268 | 241 | 📉 -10.1% | 📉 down | Long decline |\n| **HubSpot** | 450 | 447 | 346 | 333 | 350 | 349 | 375 | 378 | 205 | 243 | 322 | 239 | 📉 -25.8% | 🟢 steady | Behind capture noise |\n| **Airtable** | 604 | 611 | 505 | 492 | 467 | 424 | 435 | 447 | 308 | 266 | 255 | 208 | 📉 -18.4% | 📉 down | Structural decline |\n| **Slack** | 460 | 461 | 354 | 321 | 307 | 316 | 336 | 323 | 218 | 157 | 237 | 193 | 📉 -18.6% | 📉 down | Slack softening |\n| **Notion** | 325 | 414 | 321 | 341 | 273 | 243 | 229 | 230 | 157 | 111 | 132 | 127 | 🟡 -3.8% | 📉 down | Low and flat |\n| **ClickUp** | 166 | 182 | 135 | 169 | 146 | 134 | 112 | 103 | 58 | 81 | 94 | 88 | 📉 -6.4% | 📉 down | Continued erosion |\n| **Zoho** | 124 | 141 | 128 | 122 | 82 | 120 | 101 | 119 | 41 | 66 | 82 | 72 | 📉 -12.2% | 🟡 volatile | Small-number swings |\n| **Salesforce** | 149 | 106 | 81 | 96 | 88 | 110 | 88 | 102 | 57 | 64 | 104 | 68 | 📉 -34.6% | 📉 down | Behind capture noise |\n| **Excel** | 549 | 568 | 403 | 382 | 316 | 280 | 251 | 235 | 108 | 171 | 353 | 67 | 💥 -81.0% | 💥 collapse | See note |\n| **Monday.com** | 98 | 97 | 101 | 90 | 102 | 101 | 104 | 111 | 60 | 49 | 61 | 52 | 📉 -14.8% | 🟡 stable-ish | Most stable alt |\n| **QuickBooks** | 93 | 95 | 79 | 64 | 77 | 73 | 94 | 95 | 47 | 70 | 70 | 46 | 📉 -34.3% | 📉 down | Behind capture noise |\n| **Asana** | 93 | 97 | 67 | 71 | 64 | 65 | 49 | 72 | 27 | 24 | 49 | 37 | 📉 -24.5% | 📉 down | Small numbers |\n| **Xero** | 43 | 51 | 40 | 34 | 30 | 37 | 43 | 42 | 17 | 20 | 20 | 26 | 🚀 +30.0% | 🟢 small growth | Small numbers |\n| **Trello** | 75 | 55 | 48 | 47 | 26 | 24 | 31 | 41 | 11 | 17 | 26 | 14 | 📉 -46.2% | 💥 near-extinct | Single digits territory |\n\n*Note on Excel: the July print (353) was itself anomalously high relative to the surrounding months, and August's 67 sits below June's 171 and May's 108. Both the July spike and the August drop straddle the August capture change and a substring-matching quirk (\"excel\" catching \"excellent\"). Do not read the July→August Excel move as a real market event; the multi-month direction is a slow decline.*\n\n---\n\n## CRM Platform Deep Dive\n\n### Dedicated CRM Systems\n\n| CRM | Jun | Jul | Aug | Jul→Aug | Multi-Month Read | Market Assessment |\n|-----|-----|-----|-----|---------|------------------|-------------------|\n| **GoHighLevel** | 483 | 585 | 600 | +2.6% | Held near highs | **Most durable application in the dataset** |\n| **HubSpot** | 243 | 322 | 239 | -25.8% | Steady over the year | Behind August capture noise; treat single print cautiously |\n| **Zoho** | 66 | 82 | 72 | -12.2% | Small-number swings | Volatile, thin data |\n| **Salesforce** | 64 | 104 | 68 | -34.6% | Range-bound low | Behind August capture noise |\n\n**Key Insight:** **GoHighLevel at 600 jobs is the standout — up +2.6% MoM and holding near its SOTU-era highs while nearly everything else softened into August.** This matches the full-year pattern: GoHighLevel has been the single most durable application across every contraction month. The sharp Jul→Aug drops in HubSpot, Salesforce and QuickBooks all sit behind the August capture change and should not be read as demand events on a single print. The honest CRM story is unchanged from prior months: **pick one CRM and go deep — GoHighLevel for agencies is the best-supported bet in this dataset.** The month-to-month \"CRM rotation\" narrative was noise; ignore it.\n\n### Generic \"CRM\" Mentions\n\n| Month | Mentions | Change |\n|-------|----------|--------|\n| May 2026 | 817 | — |\n| June 2026 | 808 | -1.1% MoM |\n| July 2026 | 1,084 | +34.2% MoM (spans the June-24 hybrid cutover) |\n| August 2026 | 1,037 | -4.3% MoM |\n\nGeneric CRM mentions held at 1,037 in August, close to July's 1,084. The July jump spans the June-24 scrape-coverage cutover, so the Jun→Jul step is partly measurement. On the post-cutover basis, CRM demand as a category is holding roughly flat and remains the most resilient sub-segment of the market.\n\n### Alternative CRM Solutions\n\n| Application | Jun | Aug | Jun→Aug | Assessment |\n|-------------|-----|-----|---------|------------|\n| **Airtable** | 266 | 208 | -21.8% | Structural decline intact |\n| **Notion** | 111 | 127 | +14.4% | Low and roughly flat |\n| **ClickUp** | 81 | 88 | +8.6% | Continued long-run erosion |\n| **Monday.com** | 49 | 52 | +6.1% | Most stable alternative |\n\n**Combined Alternative CRMs:** 475 jobs (August) vs 507 jobs (June).\n\n**Insight:** The alternative-CRM category remains structurally weaker than the dedicated CRMs, and that gap has held all year. Airtable continues its long slide; Notion, ClickUp and Monday.com are bouncing around small numbers. The standing advice holds: dedicated CRM specialization — GoHighLevel in particular — is the more durable niche than the Notion/Airtable-as-CRM play.\n\n---\n\n## AI Tier\n\nThe AI-tier signal is the clearest emerging trend in the dataset. Two populations, kept separate:\n\n- The **platform set** (`ai_keywords`) — AI terms within the 2,391 Zapier/n8n/Make jobs.\n- The **broader automation market** (`broad_ai_keywords` over 3,636 broad-automation jobs).\n\n**These are per-term mention counts and they overlap heavily** — one job naming OpenAI, RAG, and an agent is counted three times. They are not a share of jobs, and there is no computable \"jobs mentioning any AI\" figure in this data. Do not read these as percentages.\n\n### AI Mentions — August 2026\n\n| AI Category | Platform Set (of 2,391) | Broader Market (of 3,636) |\n|-------------|--------------------------|----------------------------|\n| **OpenAI/GPT** | 534 | 619 |\n| **Claude/Anthropic** | 507 | 648 |\n| **AI Agents** | 363 | 501 |\n| **Voice AI** | 184 | 227 |\n| **RAG** | 104 | 116 |\n| **MCP** | 73 | 118 |\n| **LangChain** | 63 | 69 |\n| **Vector DBs** | 60 | 64 |\n| **AI Builders** | 36 | 39 |\n| **Embeddings** | 25 | 29 |\n\n**Assessment:** OpenAI/GPT and Claude/Anthropic run neck-and-neck at the top in both populations, with AI Agents a clear third. **In the platform set, OpenAI/GPT appeared in 534 of 2,391 jobs and Claude/Anthropic in 507; these overlap, so they are mention counts, not a share of the market.** The RAG figure (104) is notably lower than July's 375 — that print straddles the August capture change and the swing is large enough to treat as noise until a second month confirms direction. Qualitatively, AI fluency continues to trend toward table stakes in automation work: agent-building, voice agents (Retell/Vapi show up in the high-paying examples), and LLM pipelines dominate the premium tier. The premium in this data is in *building* production AI systems, not in *mentioning* AI.\n\n---\n\n## August Market Dynamics\n\n### Volume: Read the Per-Weekday Figure, Not the Total\n\n**Do not read a month-over-month volume story off the stored totals this month.** August's platform scrape failed on 2026-08-12 and 2026-08-18, wiping the preceding posting days (which originally captured just 13 and 8 platform jobs against a weekday norm near 95). Those days were backfilled at month-end (now 60 and 55 — partly recovered, not whole), and the same full-month re-query moved ~127 jobs from the automation tag into the platform tag across days that were never broken, inflating the stored August platform total ~6% relative to how July was measured.\n\n- Stored August platform total: **2,391**\n- July-comparable August figure (backing out the re-tag): **~2,239**\n- July platform total: **2,549**\n\n**The honest comparison is per-weekday over cleanly-captured days, measured before the backfill: about 88 platform jobs/weekday in August against 97 in July — a high-single-digit softening.** Weekend days run far lower in both months (~46 vs ~56) and are not averaged into that figure.\n\n**Assessment:** August softened a few points into late summer. That is normal and small — Aaron's own series ran **-2.2% July→August 2025** and -6.1% into September. This is not a contraction, a collapse, a pullback, or a rebound; it's a seasonal easing sitting on top of the year-long slow drift. Since the June 2025 baseline, the platform market is down materially on a like-basis (the SOTU-era counts are not basis-comparable to Aaron's earlier broad counts — see Methodology).\n\n### Rates: Lead With the Median\n\n**The median hourly rate printed $32.50 in August** — the second sub-$35 read in the series, the other being December 2025's $30. Reading the median series straight off the data:\n\n`Sep $35 · Oct $35 · Nov $35 · Dec $30 · Jan $35 · Feb $35 · Mar $35 · Apr $35 · May $38 · Jun $35 · Jul $35 · Aug $32.50`\n\nThe median has held at or very near $35 for nearly the whole series, with two downside prints (Dec, Aug) and one upside (May $38). **August's $32.50 is a single-month move below the long-standing $35 line; treat it as a wobble until a second month confirms.** The typical automation job on Upwork has paid around $35/hr all year, and August doesn't change that read.\n\nThe **mean** rate fell to **$36.91**, down from July's $41.41 — the lowest mean in the series. The mean has wobbled in a ~$38–43 band all year and is easily levered by a handful of high postings (the max this month was $250/hr, well below prior months' $500–999 maxes). **A single-month mean move is not a re-basing.** With both the median softening and the top-end max lower this month, August reads as a slightly softer rate month — but one print, not a trend.\n\n| Month | Median | Mean | High-Paying ($75+) |\n|-------|--------|------|--------------------|\n| May 2026 | $38.00 | $42.20 | 67 |\n| Jun 2026 | $35.00 | $41.83 | 82 |\n| Jul 2026 | $35.00 | $41.41 | 105 |\n| Aug 2026 | $32.50 | $36.91 | 78 |\n\nHigh-paying jobs ($75+) numbered 78 in August. Note the count moves with total capture, so read it alongside the volume caveat above rather than as a clean premium-demand signal.\n\n### Contract Type: The Slow Shift to Fixed-Price\n\n`fixed_share_pct`: **May 42.9% → Jun 40.1% → Jul 38.6% → Aug 37.1%.**\n\n**Assessment:** Read literally, the fixed-price *share* has declined over these four SOTU-era months. That runs opposite to the full-year direction Aaron's year-in-review flagged (a steady multi-month rise toward fixed-price across 2025–early 2026). Over the longer arc, clients have been scoping automation increasingly as defined deliverables rather than open-ended hourly work — which is the strongest concrete case for **package/outcome pricing** over hourly hand-wringing. The last four months show fixed-price share easing back into the high-30s; not a reversal of the year-long trend, but worth watching. At 37.1%, better than a third of postings are fixed-price, and the strategic takeaway is unchanged: be able to quote a defined outcome.\n\n---\n\n## Strategic Recommendations\n\n### Platform Strategy for Q3/Q4 2026\n\n**1. Zapier: Volume Leader**\n- 1,070 jobs, the largest of the three\n- -30.5% since June 2025 — the same drawdown as the others\n- **Recommendation:** Primary platform for breadth of demand. Choose it for client volume, not for a growth arrow.\n\n**2. n8n: Technical-Depth Option**\n- 960 jobs, mid its 805–1,055 SOTU-era band\n- -27.9% since June 2025\n- **Recommendation:** Primary or strong secondary for technically-deep, AI-adjacent work. It attracts the agent-building and self-hosted clients.\n\n**3. Make.com: Weakest of the Three**\n- 421 jobs (low August print sits behind capture noise)\n- -30.7% since June 2025\n- **Recommendation:** Secondary skill only. Same as all year.\n\n**4. CRM: GoHighLevel Is the Bet**\n- GoHighLevel 600 jobs, near SOTU-era highs, most durable app in the data\n- HubSpot the steady enterprise option (single August print behind capture noise)\n- **Recommendation:** Pick one CRM and go deep. GoHighLevel-for-agencies is the best-supported recommendation in this dataset. Ignore month-to-month CRM \"rotation\" — it's noise.\n\n### Application Strategy\n\n**High-Value Specializations:**\n\n1. **AI Systems / Agent Building** ($100–250/hr)\n   - August's top postings are AI/LLM data engineering ($250/hr), GTM/AI-SDR engineering ($200/hr), AI ops agents on Retell + n8n ($150/hr), and senior AI systems architecture ($150/hr)\n   - The premium is in *building* production AI, not mentioning it\n\n2. **CRM + Automation Specialist** ($75–150/hr)\n   - GoHighLevel holding near highs; HubSpot RevOps work at $120/hr in the examples\n   - Generic CRM mentions holding ~1,037, the most resilient sub-category\n\n3. **Voice AI Integration** ($100–150/hr)\n   - Voice AI at 184 platform mentions; Retell/Vapi-style agent work recurring in premium postings\n\n4. **n8n Technical Depth** ($80–150/hr)\n   - n8n threads through the AI-agent and reactivation-campaign premium jobs\n\n**Avoid/Deprioritize:**\n- Trello: single digits territory (14 jobs), near-extinct\n- Excel-only: long structural decline (the July spike/August drop is capture noise; direction is down)\n- Notion/ClickUp-only as a CRM substitute: structurally weaker than dedicated CRMs\n- Generalist platform-only positioning: the market pays for a CRM or AI specialization on top\n\n### Rate Strategy for Q3/Q4 2026\n\n**Current Market:**\n- Median: $32.50/hr (single-month dip below the year-long ~$35 line)\n- Mean: $36.91/hr (low end of the $38–43 band; one print)\n- High-paying ($75+): 78 jobs (read alongside the capture caveat)\n- Ultra-premium ($150+): 9 jobs; premium tier: 33 jobs\n- Max rate: $250/hr\n\n**Positioning:**\n- **Entry:** $18–35/hr (the persistent low end; the median lives near here)\n- **Experienced:** $35–50/hr (requires a real specialization to escape the median gravity)\n- **Specialist:** $50–100/hr (CRM + platform + industry or AI)\n- **Premium:** $100–250/hr (production AI systems, agent architecture, voice AI)\n\n**Key:** The typical job has paid ~$35/hr all year, and August's $32.50 doesn't change that read on one print. Escaping the median requires a genuine specialization — AI building or a deep CRM niche — not a repositioning statement. Package your work: fixed-price is better than a third of the market.\n\n---\n\n## Q3/Q4 2026 Outlook\n\n### Expected September–November Trends\n\n1. **Volume:** Expect a market in the low-2,000s per month on the current hybrid basis, drifting gently — Aaron's 2025 series showed a normal late-summer easing (-2.2% Jul→Aug, -6.1% into Sep). Plan for competition per posting, not a rebound.\n2. **Median rate:** Watch whether September confirms August's $32.50 or reverts to $35. One sub-$35 print is a wobble, not a re-basing.\n3. **GoHighLevel:** The most durable app in the data; watch it hold near 600 as confirmation of agency-CRM demand.\n4. **AI tier:** Agent-building, voice AI, and LLM pipelines remain the clearest premium driver. Track whether the top AI terms keep rising over multiple months.\n5. **Platform mix:** Zapier / n8n / Make in their usual order, all ~30% below June baseline. Don't expect — or narrate — a leadership change.\n6. **Fixed-price:** In the high-30s and easing over the last four months; the longer-run shift toward defined deliverables remains the real signal for pricing.\n\n### Market Structure Evolution\n\n**What's actually happening (SOTU era):**\n- Volume drifting gently lower, with a normal late-summer softening into August (~88 vs ~97 platform jobs/weekday)\n- Median pay near $35/hr all year (Dec and Aug the two downside prints)\n- Mean range-bound $38–43, levered by a handful of high postings; August the low end at $36.91\n- AI fluency trending toward table stakes; the premium is in building\n- GoHighLevel the most durable specialization in the data\n\n**What's next:**\n- A ~2,000–2,600 job/month platform market on the current basis\n- Median pay around $35/hr for generalists; specialization the only escape\n- AI/agent and CRM specialization the two most durable niches\n- Package/outcome pricing over hourly, given the multi-year fixed-price shift\n\n---\n\n## Methodology\n\n**Data Source:** Upwork job data scraped via Apify (platform set: jobs mentioning Zapier, Make.com/Integromat, n8n, Power Automate)\n**Analysis Method:** Keyword search in job titles and descriptions (substring matching)\n**Rate Calculation:** Median and mean of posted hourly maximums where provided (August hourly sample: 928 jobs)\n\n**Limitations & measurement notes:**\n- **June 2025 is the clean baseline.** May 2025 is missing its first five days and is structurally invalid as a denominator; growth is anchored to June 2025 throughout.\n- **Counts are keyword mentions and overcount** — a job naming two platforms is counted under both. Platform mentions are never summed into a single \"total platform jobs\" headline; the headline uses unique job counts (2,391).\n- **The SOTU-era platform counts are not basis-comparable to Aaron's earlier/broad counts.** A May-2026 measurement change and a 2026-06-24 hybrid-query cutover both shifted capture; compare rates and share across the boundary, not raw counts.\n- **August 2026 lost two capture days** (2026-08-12, 2026-08-18) which were backfilled at month-end. The backfill partly recovered those days (60 and 55 vs a ~95 weekday norm) and re-tagged ~127 jobs into the platform set, inflating the stored August total ~6% relative to July's measurement. The honest volume comparison is per-weekday over cleanly-captured days measured before the backfill (~88 vs ~97).\n- **AI keyword counts overlap heavily** and are not a share of jobs; there is no computable \"jobs mentioning any AI\" figure.\n- Rates are posted maximums, not contracted rates. Substring matching may catch incidental mentions (e.g., \"excel\" in \"excellent\").\n\n---\n\n**Report Generated:** September 2026\n**Next Update:** September 2026 data (expected October 2026)\n**Questions/Feedback:** Via GitHub Issues\n\n---\n\n*This analysis is part of the ongoing Upwork Automation Market Analysis project tracking the evolution of the automation consulting marketplace.*","filename":"app-comparison-august-2026.md"},"high_paying_guide_md":{"content":"# High-Paying Automation Opportunities Guide\n## August 2026 Market Analysis\n\n**Report Date:** September 2026\n**Data Period:** June 2025 - August 2026\n**High-Paying Jobs Tracked:** 78 jobs at $75+/hr in August\n\n---\n\n## Executive Summary\n\nAugust 2026 held the same calm story the data has been telling for a year: **the median hourly rate sat at $32.50 and the typical premium job pays what it has always paid.** High-paying opportunities registered 78 jobs at $75+/hr in the platform set. Before anyone reads that as a collapse against July's 105, note that August is not raw-comparable to July — the `platform` scrape query failed on two August posting days and was backfilled at month-end, which both under-captured two days and re-tagged ~127 jobs into the platform set. The stored August platform total (2,391) is roughly 6% inflated relative to how July was measured. The honest volume read is per-weekday, before the backfill: about 88 platform jobs/weekday in August against 97 in July — a high-single-digit softening, in line with the normal late-summer easing Aaron logged in 2025.\n\nThe average rate printed $36.91/hr, below the $41–42 band the last four months ran in. Treat that as a single-month move on a mean that is easily levered by a handful of high postings, not a re-basing — the median ($32.50) is the number that actually describes the typical job, and it has been within a couple dollars of $35 for the entire series. The premium tier remains dominated by AI-native engineering: the two top rates in August ($250/hr) are both LLM/data-pipeline builds, and the AI-agent architecture work that surfaced through the spring is still the ceiling.\n\nThe AI signal continues to climb. In the platform set, OpenAI/GPT appeared in 534 jobs, Claude/Anthropic in 507, and AI Agents in 363 (these overlap — a single job naming two counts under both, so these are mention counts, not a share of the market). Across the broader automation market (3,636 jobs), OpenAI/GPT hit 619 and AI Agents 501. The direction is unambiguous: AI is trending toward table stakes at the premium tier.\n\n**Bottom Line:** Nothing broke in August. The median held near where it's held all year, the premium tier is still real but scarce (78 jobs at $75+), and AI-native engineering is still the ceiling. The August average dip and the volume print are both measurement noise — don't reposition off a single month. CRM specialization plus AI capability remains the durable play.\n\n---\n\n## Rate Tiers & Market Reality\n\n### August 2026 Rate Breakdown\n\n| Tier | Rate Range | Jobs Available | Requirements | Market Trend |\n|------|------------|----------------|--------------|--------------|\n| **Ultra-Premium** | $150-250/hr | 9 jobs | AI/LLM + autonomous systems + industry | Concentrated in AI engineering |\n| **Premium** | $100-150/hr | 33 jobs | Multi-platform + CRM + AI integration | Stable band |\n| **Expert** | $75-100/hr | 36 jobs | Platform certified + CRM + proven results | Steady |\n| **Experienced** | $50-75/hr | 162 jobs | Multi-platform competency | Steady |\n| **Mid-Tier** | $40-50/hr | 117 jobs | Single platform proficiency | Steady |\n| **Entry** | $25-40/hr | 244 jobs | Basic automation tasks | Largest bucket |\n\n**Key Insight:** The shape hasn't changed. Entry-level work (244 jobs) is still the biggest single bucket of the hourly sample, and the premium tiers together (78 jobs at $75+) remain a thin slice at the top. The ultra-premium count (9) and premium count (33) are small enough that month-to-month wobble is noise — read them as \"the premium tier exists and is scarce,\" which has been true all year, not as a directional move. The max rate observed was $250/hr.\n\n### Average Rate Evolution\n\n| Month | Market Average | Median | High-Paying Count ($75+) | Trend |\n|-------|----------------|--------|--------------------------|-------|\n| Sep 2025 | $38.74/hr | $35 | — | Baseline range |\n| Oct 2025 | $38.17/hr | $35 | — | Range-bound |\n| Nov 2025 | $38.79/hr | $35 | — | Range-bound |\n| Dec 2025 | $37.58/hr | $30 | 144 | Range-bound |\n| Jan 2026 | $40.20/hr | $35 | 165 | Q1 uptick |\n| Feb 2026 | $43.27/hr | $35 | 170 | Single-month outlier |\n| Mar 2026 | $40.66/hr | $35 | 167 | Reverted |\n| Apr 2026 | $39.46/hr | $35 | 139 | Baseline range |\n| May 2026 | $42.20/hr | $38 | 67 | Measurement change* |\n| Jun 2026 | $41.83/hr | $35 | 82 | Range-bound |\n| Jul 2026 | $41.41/hr | $35 | 105 | First full hybrid month |\n| Aug 2026 | $36.91/hr | $32.50 | 78 | **Mean dip, median near $35** |\n\n\\*Absolute counts from May 2026 forward reflect a scrape-coverage change and are not directly comparable to Aaron's earlier months. The median and rate distribution are the capture-independent signals.\n\n**Analysis:** The average printed $36.91 — its lowest read in a year — but this is a mean, and the mean has wobbled in a narrow $37–43 band the entire series while being easily moved by a few high or absent high-rate postings. The median tells the more honest story: $32.50 this month, within a couple dollars of the $35 it's held in nearly every month of the series. Treat August's average dip as a single-month move until September confirms it. The premium-count drop (105 → 78) sits inside the August measurement change and should not be read against July as clean month-over-month.\n\n---\n\n## Ultra-Premium Opportunities ($150-250/hr)\n\n### Profile Requirements\n\n**Technical Stack:**\n- LLM/AI engineering (OpenAI, Claude/Anthropic APIs, agentic systems)\n- AI agent architecture (multi-step reasoning, tool use, memory)\n- Data pipelines and ETL (production-grade, scalable)\n- n8n or Zapier for workflow orchestration\n- Voice AI (Retell, Vapi — still emerging)\n- Custom development (Python, TypeScript, Node.js)\n\n**Industry Knowledge:**\n- Home services / trades (roofing, restoration, construction)\n- Healthcare / men's health (growth and data leadership)\n- Financial services (B2B lead gen, fund administration)\n- AI-native businesses (agent-operated systems, growth engineering)\n- Event / fleet logistics (AI ops layers)\n\n**Proven Track Record:**\n- Production AI/LLM deployments, not prototypes\n- $50K+ project portfolio\n- Quantified business outcomes\n- Active technical presence (GitHub, content)\n\n### August Market Reality\n\nThe ultra-premium tier held 9 jobs at $150+/hr — a small count, as it has been most of the year. The top of the rate stack is still AI-native engineering: the two highest rates in August ($250/hr each) are both LLM-driven data-pipeline and automation builds, and the $150+ roles skew toward AI systems architecture and fractional executive/advisory work in specific verticals. This is the same standing structure the spring reports described — the premium ceiling rewards *building* AI systems, not mentioning AI.\n\n**Entry Barrier:** Very high — requires production LLM/data-engineering experience and, increasingly, domain depth in a specific vertical.\n\n### Actual August Examples\n\n**Example 1: AI & Data Engineer — LLM-Driven Workflows & Data Pipelines**\n- Rate: **$250/hr**\n- Requirements: AI/data engineering, APIs, ETL, LLM integrations, scalable pipelines\n- Project: Build reliable data pipelines, LLM-powered workflows, and automation systems, turning raw data and business processes into scalable systems\n- Context: Highest rate observed in August; LLM + data engineering as the standalone premium tier\n\n**Example 2: GTM Engineer — Clay, Customer.io, APIs & AI Automation**\n- Rate: **$200/hr**\n- Requirements: Programmatic outbound, AI SDR, product-signal routing, lifecycle automation, custom AI platform\n- Project: Revenue-as-an-engineering-problem build — systems doing the work of a twenty-person team\n- Context: AI-native growth engineering commands the top of the non-data-engineering stack\n\n**Example 3: Senior AI Systems Architect — Business AI Platform**\n- Rate: **$150/hr**\n- Requirements: Senior AI systems architect / AI agent engineer, sophisticated agentic system design (explicitly \"not a basic chatbot or simple automation\")\n- Project: Design and build an AI-powered business operating system\n- Context: Industry-vertical AI agent architecture continues to command premium\n\n**Example 4: AI Operations Agent for Event Fleet Logistics**\n- Rate: **$150/hr**\n- Requirements: Retell + n8n voice agent stack, Google Sheets ops integration, full AI ops layer\n- Project: Build a complete AI ops layer on top of an existing live voice-agent driver check-in system\n- Context: Voice AI + n8n in a specific vertical; the emerging-premium voice niche persists\n\n**Example 5: GoHighLevel Consultant — Home Services / Roofing (Advisory)**\n- Rate: **$150/hr**\n- Requirements: GoHighLevel depth + roofing/home-services domain, 5+ years, advisory not execution\n- Project: Advisory support for a large home-services GHL build where the agency lacks contractor-space depth\n- Context: CRM depth + industry domain commands premium even in an advisory-only role\n\n---\n\n## Premium Opportunities ($100-150/hr)\n\n### Profile Requirements\n\n**Core Competencies:**\n- Deep expertise in one platform + working knowledge of a second\n- CRM specialization (GoHighLevel, HubSpot)\n- AI integration (production API work, not just chat)\n- Industry-specific positioning\n- Strategic consulting beyond implementation\n\n**Differentiators:**\n- Published case studies with quantified ROI\n- Platform certifications (n8n, HubSpot, Zapier)\n- Visible thought leadership\n- Strong client references and repeat business\n\n### August High-Demand Segments\n\n#### 1. GoHighLevel Agency Automation ($100-150/hr)\n\n**Opportunity:** 600 jobs — the most resilient application in the dataset\n\n**Skills Needed:**\n- GoHighLevel platform mastery (workflows, CRM, funnels, snapshots)\n- n8n or Zapier for external integrations\n- Marketing automation and funnel optimization\n- Agency and industry-vertical advisory\n\n**Why Premium:** GoHighLevel is the standing bright spot across the whole series — it has held near its highs even in softer months. August's $150/hr roofing-advisory role shows the premium comes from pairing GHL depth with a vertical. Agencies keep investing in it.\n\n**August Insight:** GHL at 600 jobs remains the strongest CRM signal in the data. Pick a vertical and go deep.\n\n#### 2. AI / LLM Engineering ($120-250/hr)\n\n**Opportunity:** The premium ceiling, dominated by AI-native builds\n\n**Skills Needed:**\n- OpenAI and Claude/Anthropic API mastery (tool use, agents, memory)\n- Data pipelines, ETL, RAG architecture\n- Vector databases (Pinecone, Weaviate, Chroma, Qdrant)\n- Production deployment (latency, reliability, cost)\n\n**Why Premium:** August's two $250/hr roles were both LLM/data-engineering builds; the $150–200 band was AI systems architecture and AI-native growth engineering. Generic AI-enhanced workflows sit at $75–100/hr — standalone AI systems engineering commands $150–250/hr. This has been the structure since the spring.\n\n#### 3. HubSpot RevOps & Multi-CRM Integration ($100-150/hr)\n\n**Opportunity:** HubSpot at 239 jobs; generic CRM mentions at 1,037\n\n**Skills Needed:**\n- HubSpot RevOps (custom integrations, coded workflows)\n- Migration and data-quality expertise\n- Multi-system orchestration (Xero, Chargebee, billing)\n- Industry-specific CRM configuration\n\n**Why Premium:** August's $120/hr HubSpot RevOps role and $115/hr fractional B2B marketing role (financial services + HubSpot) show CRM depth plus a vertical continues to command premium. CRM demand is the most durable sub-segment in the data.\n\n#### 4. n8n Technical Specialist ($100-150/hr)\n\n**Opportunity:** 960 jobs — the technical-depth platform\n\n**Skills Needed:**\n- n8n self-hosting (Docker, custom nodes, scaling)\n- Claude/GPT API integration with n8n workflows\n- Complex workflow and AI-agent orchestration\n- Voice AI + n8n stacks (Retell)\n\n**Why Premium:** n8n's technical premium holds at the top of the stack — August's $150/hr AI-dev/n8n reactivation-campaign role and the $150/hr Retell + n8n fleet-ops build both anchor to n8n depth. As standing structure, n8n is the technical-depth option, not a horse-race winner — pair it with CRM or a vertical to insulate from platform-level wobble.\n\n---\n\n## Expert Tier Opportunities ($75-100/hr)\n\n### Profile Requirements\n\n**Core Skills:**\n- Deep expertise in one platform OR competency in two\n- 50+ completed automations\n- Industry-specific knowledge\n- Project management capabilities\n\n**Minimum Credentials:**\n- 10+ client references\n- Platform certification\n- Public portfolio with case studies\n\n### Resilient Segments\n\n#### 1. CRM Implementation ($75-100/hr)\n\n**Opportunity:** GoHighLevel (600), HubSpot (239), generic CRM mentions (1,037)\n\n**Focus:**\n- GoHighLevel agency setup and configuration\n- HubSpot onboarding and RevOps\n- CRM data migration\n- Multi-system orchestration\n\n**Why Stable:** CRM is the most resilient category in the data. Even in softer months, CRM demand holds while other categories thin.\n\n#### 2. Marketing & Growth Operations ($75-100/hr)\n\n**Opportunity:** B2B lead-gen and growth-ops work surfaced repeatedly in August's premium examples\n\n**Focus:**\n- Outbound automation (LinkedIn, cold email, SMS)\n- Funnel and lifecycle systems\n- Marketing-ops infrastructure (technical marketing manager roles)\n- AI-based campaign optimization\n\n**Why Stable:** Multiple $100–130/hr growth-ops and campaign-manager roles in August. Growth is increasingly scoped as an engineering problem.\n\n#### 3. Accounting & Finance Automation ($75-100/hr)\n\n**Opportunity:** QuickBooks (46), Xero (26), plus fractional finance advisory\n\n**Focus:**\n- QuickBooks / Xero integration\n- Financial reporting automation\n- FP&A and controller-support workflows\n\n**Why Stable:** Accounting automation delivers measurable ROI. August's $150/hr fractional controller role shows the finance-advisory tier reaches into premium.\n\n#### 4. Zapier Advanced Implementation ($75-100/hr)\n\n**Opportunity:** 1,070 jobs — the volume leader\n\n**Focus:**\n- Zapier Tables and Interfaces\n- Complex multi-step workflows\n- Error handling and monitoring\n- Migration from legacy automation\n\n**Why Relevant:** Zapier remains the volume leader, which means a steady flow of advanced implementation work. It's the breadth-and-consistency platform.\n\n---\n\n## Navigating the Current Market\n\n### August Market Reality\n\n**Market Status:**\n- Platform-set jobs: 2,391 (not raw-comparable to July — see below)\n- Average rate: $36.91/hr (single-month mean dip)\n- Median rate: $32.50/hr (near the year-long $35 level)\n- High-paying jobs: 78 at $75+/hr\n- Ultra-premium ($150+): 9 jobs\n- Expert tier ($75-100): 36 jobs\n- Max rate: $250/hr\n\n**A note on the numbers you can and can't trust this month.** The `platform` scrape query failed on two August posting days and was backfilled at month-end. The backfill partly recovered those days and also re-tagged ~127 jobs into the platform set, inflating the stored August total roughly 6% relative to how July was measured. So do not read 2,391-vs-2,549 as a clean month-over-month figure. The honest volume comparison is per-weekday over cleanly-captured days, measured before the backfill: about 88 platform jobs/weekday in August against 97 in July — a high-single-digit softening. For calibration, Aaron's series ran -2.2% July→August 2025 and -6.1% into September; a small late-summer easing is normal. The capture-independent signals — median rate and platform share — are the ones to steer by.\n\n### The Signals That Actually Matter\n\n**Median rate held near $35 all year.** August's $32.50 sits inside the same narrow band that's defined the series. The typical automation job pays what it has paid the whole time — that's your gravity, and escaping it requires a real specialization, not a repositioning statement.\n\n**AI keeps climbing.** OpenAI/GPT (534), Claude/Anthropic (507), and AI Agents (363) in the platform set (overlapping mention counts, not a share). In the broader market these run higher still. AI fluency is no longer a premium niche — it's the baseline expectation, and the premium is in building, not mentioning.\n\n### Action Plan\n\n#### If Revenue Growing: Build AI-Native\n\n**Immediate:**\n1. Audit positioning for AI-native opportunities (the $250/hr work is LLM/data engineering)\n2. Build a production AI-agent or data-pipeline demo with metrics\n3. Target ultra-premium AI work selectively — it's scarce (9 jobs), win it with proof\n4. Deepen GoHighLevel if you have the agency relationship\n\n**Q4 Strategy:**\n1. Position as AI systems architect, not just automation builder\n2. Develop one industry vertical (home services, healthcare, financial services all surfaced in August)\n3. Lock in retainer relationships before year-end budget cycles\n\n#### If Revenue Stable: Hold Rates, Specialize Deeper\n\n**Actions:**\n1. Median near $35 means discipline matters — don't discount to chase volume\n2. Premium share is thin; specialization is the moat\n3. Add CRM specialization if not already (GoHighLevel most resilient)\n4. Pair platform expertise with one industry vertical\n\n**Goal:** Maintain $75+/hr positioning even through late-summer softness\n\n#### If Revenue Down: Volume Strategy with Specialization\n\n**Immediate:**\n1. Increase proposal volume — the market is softer and more competitive\n2. Target the $50-75/hr range (162 jobs) with a specialization narrative\n3. Add CRM certification (GoHighLevel or HubSpot)\n4. Build AI-integration capability for premium positioning\n\n**30-Day Plan:**\n1. Complete one CRM certification\n2. Build 2 AI-enhanced automation portfolio projects\n3. Target 25+ proposals per week\n4. Apply to the $50-75/hr range with strong specialization framing\n\n---\n\n## Rate Optimization Strategies\n\n### 1. Reposition Around AI Systems Engineering\n\n**Strategy:** The premium ceiling rewards building AI systems, not integrating them\n\n**Before:** \"Automation specialist with AI integration experience\"\n**After:** \"AI systems engineer — I build LLM-driven pipelines and production agents\"\n\n**Tactics:**\n- Build a production data-pipeline + LLM demo with metrics (the $250/hr work)\n- Master one agent framework and one vector DB deeply\n- Position around outcomes (autonomous workflows, decision agents)\n\n**Rate Impact:** +50-100% positioning premium for AI-native vs generic AI-enhanced\n\n### 2. CRM + Industry Stacking\n\n**Strategy:** CRM is the most durable specialization in the data — pair it with a vertical\n\n**Before:** \"GoHighLevel specialist\"\n**After:** \"GoHighLevel lead for home services / roofing\"\n\n**Tactics:**\n- GoHighLevel for agencies and trades (600 jobs, most resilient)\n- HubSpot for B2B / financial services (239 jobs)\n- Industry framing creates pricing power (see August's $150/hr advisory role)\n\n**Rate Impact:** +30-50% for industry-specific CRM positioning\n\n### 3. Value-Based Pricing for Stability\n\n**Strategy:** Decouple from hourly compression — and the data supports it. Fixed-price share has held around 37-43% all year (37.1% in August)\n\n**Package Examples:**\n- \"AI Systems Build: $25,000-50,000\" (LLM pipeline + agent)\n- \"GoHighLevel Agency Setup: $12,000-18,000\" (CRM + automation + funnels)\n- \"CRM Migration & Consolidation: $20,000-40,000\"\n- \"Accounting Automation: $8,000-12,000\" (QuickBooks + reporting)\n\n**Benefits:**\n- Insulates from hourly-rate wobble\n- Premium via outcomes, not hours\n- Higher margins than time-and-materials\n\n### 4. Retainer Conversion\n\n**Strategy:** Convert project clients to recurring revenue before year-end\n\n**Retainer Tiers:**\n- **Maintenance:** $3,000-5,000/month (monitoring, updates, support)\n- **Optimization:** $5,000-12,000/month (continuous improvement, new workflows)\n- **Strategic:** $12,000-30,000/month (consultation, training, roadmap)\n\n**August Context:** With volume softening into late summer, recurring revenue is more valuable than chasing one-off bids.\n\n---\n\n## Platform Strategy for Q4 2026\n\n### August Landscape\n\n**August Facts (platform set, note the August measurement caveat):**\n- Zapier: 1,070 jobs — the volume leader\n- n8n: 960 jobs — the technical-depth option\n- Make.com: 421 jobs — the weakest of the three\n- Power Automate: 29 jobs — marginal\n\n**Strategic Implications:**\n\n**Zapier Positioning:**\n- Standing volume leader across the whole series\n- Most accessible mid-market platform\n- **Strategy:** Primary platform for breadth and consistency\n\n**n8n Positioning:**\n- The technical-depth option; premium niche intact at the top of the rate stack\n- Pair with CRM or a vertical to insulate from platform wobble\n- **Strategy:** Niche premium positioning, not primary-only\n\n**Make.com Positioning:**\n- The weakest of the three, as it's been all year\n- **Strategy:** Secondary skill, not a primary specialization\n\n**On the horse-race:** Don't read month-to-month platform counts as lead changes. Over the full record all three declined roughly the same from peak; the standing structure — Zapier for volume, n8n for depth, Make weakest — is what to plan around, not this month's arrows. August's per-platform counts also sit inside the month's measurement caveat.\n\n---\n\n## Application Strategy\n\n### Safe Bets\n\n**1. GoHighLevel** (600 jobs)\n- The most resilient application in the dataset, all year\n- Agency and trades automation demand structurally durable\n- Strongest CRM signal in the data\n- **Positioning:** Agency CRM + automation specialist, one vertical deep\n\n**2. HubSpot** (239 jobs)\n- Steady enterprise-marketing and RevOps demand\n- Certification commands premium\n- **Positioning:** B2B / financial-services marketing automation\n\n**3. Airtable** (208 jobs)\n- Durable as a database/CRM-alternative layer\n- Pairs well with AI and platform work\n- **Positioning:** Airtable + CRM/AI systems\n\n**4. Google Sheets** (241 jobs)\n- Persistent ops-layer demand across small businesses\n- Frequently the integration target in AI-ops builds\n- **Positioning:** Ops-layer integration specialist\n\n### Watch List\n\n**Salesforce** (68 jobs)\n- Enterprise CRM, volatile month-to-month on small numbers\n- **Watch:** September for direction\n\n**Slack** (193 jobs)\n- Steady workflow-integration demand\n- **Watch:** Continued stability\n\n**QuickBooks / Xero** (46 / 26 jobs)\n- Small but consistent accounting-automation niche\n- **Watch:** ROI-driven demand holds through year-end\n\n### Avoid/Deprioritize\n\n**Long-running structural decline (project-management tools):**\n- Trello: 14 jobs — smallest tracked, long downtrend\n- Jira: 9 jobs — marginal\n- Asana: 37 jobs — long-run decline\n- ClickUp: 88 jobs — off its highs\n\n**Note on Excel:** August's Excel print (67) sits inside the month's measurement caveat and against a wobbly recent series (171 in June, 353 in July). Excel/Notion-only positioning has been in long-run structural decline across the full record — that trend is the signal, not any single month's count.\n\n**Strategy:** Exit PM-tool-only and spreadsheet-only specializations. Focus on CRM + platform + AI/industry stacking.\n\n---\n\n## Q4 2026 Outlook\n\n### Expected September-November Trends\n\n**September 2026:**\n- Volume likely eases modestly further (Aaron's 2025 series ran -6.1% July→Sept)\n- Median expected to hold near $35 — watch whether August's $32.50 mean dip persists or reverts\n- GoHighLevel resilience continues\n- AI-agent and LLM-engineering work stays at the premium ceiling\n\n**October-November 2026:**\n- Volume in the softer late-year range on the current basis\n- Median steady near $35; no return to the February $43 outlier expected\n- CRM demand remains the primary durable driver\n- AI penetration continues climbing toward table stakes\n\n**Q4 Bottom Line:**\n- A softer, competitive market where the typical job pays near $35\n- Premium share thin and won with proof, not positioning\n- CRM specialization the safest bet\n- AI systems engineering the premium ceiling\n\n---\n\n## Final Recommendations\n\n### The Premium Positioning Formula (Q4 2026)\n\n**1. CRM Foundation (Choose One):**\n- **GoHighLevel:** Most resilient (600 jobs), agency/trades focus, $100-150/hr\n- **HubSpot:** Steady (239 jobs), B2B/financial services, $90-140/hr\n- **Airtable:** Database/CRM-alternative layer, pairs with AI, $75-200/hr\n\n**2. Platform Proficiency:**\n- **Option A:** Zapier (volume leader, breadth and consistency)\n- **Option B:** n8n (technical depth, premium niche; not primary-only)\n- **Option C:** Both (maximum flexibility, rate premium for verified multi-platform)\n\n**3. AI Capabilities (Now the Baseline):**\n- OpenAI / Claude API mastery (production agents, not chat)\n- Data pipelines, ETL, RAG, vector DBs\n- Voice AI (Retell/Vapi) — still emerging premium\n- Agent orchestration and tool use\n\n**4. Proof and Positioning:**\n- 3+ case studies with quantified ROI\n- One industry vertical, deep\n- Active thought leadership\n- Value-based / package pricing\n\n**Formula Result:** $100-200/hr sustainable rates, insulated from month-to-month noise\n\n### The Bottom Line\n\nAugust 2026 was a calm month wearing a scary number. The average dropped to $36.91 and the high-paying count read 78, but the average is a mean that wobbles on a handful of postings, and the count sits inside a month whose scrape failed twice and was backfilled unevenly. Neither is a clean signal.\n\n**The numbers that are clean:**\n- Median rate $32.50 — within a couple dollars of the $35 it's held all year\n- Per-weekday volume ~88 vs July's ~97 — a high-single-digit late-summer softening, normal for the season\n- AI mention counts climbing (OpenAI/GPT 534, Claude 507, AI Agents 363 in the platform set — overlapping, not a share)\n- GoHighLevel at 600 — the most durable specialization in the data\n\n**Thriving Segments:**\n- AI/LLM systems engineering ($150-250/hr) — the premium ceiling\n- GoHighLevel agency + trades automation (600 jobs, most resilient)\n- Growth/marketing operations ($100-130/hr)\n- Industry-vertical AI agent work ($150+/hr)\n\n**Struggling Segments:**\n- Generic platform expertise without CRM or AI overlay\n- Single-platform positioning\n- PM-tool-only and spreadsheet-only specialists\n- Sub-$50/hr generalist positioning\n\nThe market didn't break in August, and it didn't collapse. It softened a little, as late summer tends to, while the typical job paid what it has paid all year. For specialists with CRM plus AI positioning, the opportunity is where it's been. For generalists competing at the median, the gravity is the same $35 it's always been.\n\n**Softer volume. Median holding near $35. AI systems engineering as the ceiling. CRM as the most resilient specialty. Don't reposition off one noisy month.**\n\n---\n\n## Resources\n\n**Platform Mastery:**\n- n8n: Self-hosting guides, custom node development, Docker deployment\n- Zapier: Tables/Interfaces, advanced features, error handling\n- Make.com: Complex scenarios, error handling\n\n**AI/LLM Engineering:**\n- OpenAI Cookbook (agents, function calling, structured outputs)\n- Anthropic Claude API documentation, tool use, agentic systems\n- LangChain / LangGraph for agent orchestration\n- Vector databases (Pinecone, Weaviate, Chroma, Qdrant) for RAG\n\n**CRM Specialization:**\n- GoHighLevel: Certification program, community, snapshots (most resilient in data)\n- HubSpot: HubSpot Academy (free certification)\n- Airtable: Automations, scripting, interface design\n- QuickBooks: Integration certification\n\n**Business Skills:**\n- Value-based / package pricing frameworks\n- Case study development\n- Retainer model design\n- AI systems thought leadership\n\n---\n\n**Report Generated:** September 2026\n**Based on:** August 2026 platform-set data (jobs mentioning Zapier / n8n / Make.com)\n**High-Paying Jobs Tracked:** 78 at $75+/hr in August\n**Note:** August platform capture was affected by two failed scrape days that were backfilled at month-end; absolute counts are not directly comparable to July. Median rate and platform share are the capture-independent signals.\n**Next Update:** September 2026 data (expected October 2026)\n\n---\n\n*Part of the Upwork Automation Market Analysis Project*\n*Tracking the evolution of automation consulting opportunities*","filename":"high-paying-guide-august-2026.md"}},"generated_at":"2026-09-01T13:06:04.653885+00:00","fixed_price_count":887,"hourly_count":928,"fixed_share_pct":37.1,"broad_total_jobs":3636,"broad_ai_keywords":{"MCP":118,"RAG":116,"Voice AI":227,"AI Agents":501,"LangChain":69,"Embeddings":29,"OpenAI/GPT":619,"Vector DBs":64,"AI Builders":39,"Claude/Anthropic":648},"duplicates_removed":12,"any_ai_term_count":null}