AI video gets 9x cheaper, and competitor ads become tomorrow's scripts

The price of an AI video second fell hard this week, and the people making ads at volume noticed within hours. The more interesting shift is upstream: the best-run systems now start every morning from competitor ads that have already survived, not from a blank brief. Editing agents got a memory, shopping agents became a channel you can test today, and Meta delivery had another bad stretch.

1. AI video just got about 9x cheaper per second

TL;DR WAN 3.0 landed on Higgsfield with unlimited use for a week and an API price of about $0.042 per second, against about $0.39 for Seedance 2.5, at this week's discounted API prices. Single-generation ads now run 28 to 50 seconds.

Why it matters When a 30-second ad costs a few dollars, the cost of a failed test is close to zero and the bottleneck becomes ideas and judgment. Single generations now hold the same face or product from first frame to last, which used to break longer AI ads. Voice is the weak spot, and that is moving too.

What people are saying

• @pounddz on WAN 3.0 pricing next to Seedance 2.5, and his view that the realism and colour grading are on par or better.
• Cody Schneider: 30-second Seedance ads for about $2.50, edited by an agent that cuts dead air, builds motion graphics from a reference video and renders 4K.
• Vlad's 43-second "Zack D style" ad from one generation, and a 28-second product demo with a cutaway through a screen protector no camera could film.
• Vlad also argues audio is what makes AI UGC feel real: one robotic sentence and the viewer scrolls. Fish Audio's open-weight Drama 3 TTS model now controls tone down to a single word.

Do this Take your best-performing static from last month and turn it into three 30-second video versions this week. At these prices, the test costs less than one designer hour.

2. Competitor ads that survived are now the daily brief

TL;DR The newest automated systems scrape competitor ads every morning, keep the ones that have run 30+ days, and have Claude write new scripts from them before anyone wakes up.

Why it matters An ad that keeps running is an ad someone keeps paying for. Starting from those cuts out the guessing stage of creative strategy. The systems are cheap to build: a scraper, storage, a model that tags each ad, and a database your agent can query.

What people are saying

• Vlad's $5 AI ad, scripted from a competitor ad live 30+ days. His system writes 9 of those every morning and sends a daily Slack alert of what to kill. The full 8-hour build covers the research feed, script engine and results feed.
• Cody Schneider's weekly competitor ad tracker for Facebook, Google and LinkedIn: Apify scraping, ads stored in S3, Gemini tagging each one into Postgres.
• Cody on 500 pieces of creative a month and 300+ demos, launched in weekly cohorts built from the last cohort's winners.
• Cody also says a coding agent on a daily cron took a Google Ads account's cost per lead from $1,100 to $250.

Do this Pick five competitors. List every ad of theirs that has run 30+ days, and write one new script for each using your product. That is next week's test batch.

3. Editing agents now learn from your feedback

TL;DR Last week agents learned to edit. This week the operators made them remember: every review note gets saved into the editing skill, so the next cut starts better.

Why it matters The scarce asset is no longer editing hours. It is a written record of what your strategists keep correcting. Teams that document feedback get agents that improve every week. Teams that leave notes in Slack threads get the same mistakes forever.

What people are saying

• @alexgoughcooper's loop: brief and footage in, agent edits and uploads, timestamped notes back, and each note saved into the skill.
• He also had the Frame MCP pull every comment his team made in 30 days, found the most common errors, and fed that document to the editing and QA agents.
• His editors are no longer allowed to open Premiere Pro or After Effects.
• @kristian_jennin: top editors are paid for how effective the ads are, not how many they make.

Do this Export the last 30 days of review comments on your ads into one file. Group them into the ten most common fixes. That file is your editing brief, whether a person or an agent reads it.

4. Shopping agents are a channel you can test today

TL;DR Agents buying on people's behalf went from theory to a skill anyone can install. Shopify's new shop skill turns an agent into a personal shopper, and Amazon blocking agents has investors talking about new storefronts.

Why it matters If an agent picks the product, your ad never gets seen. What the agent reads instead is price, reviews, delivery speed and how clearly your product pages answer the question. Taylor Holiday also points at a quieter risk for subscription brands: agents don't forget to cancel.

What people are saying

• Hiten Shah's test: ask your agent to shop for what you sell without naming your brand, and see if it recommends you.
• Taylor Holiday: if his agent can't shop at Amazon, he stops using the agent, not Amazon. He also calls one-hour delivery a moat.
• Taylor on subscriptions that exist because people forget to cancel, and what agents do to that.
• OpenAI is testing a visual ad format inside ChatGPT image generation, with click attribution through measurement partners.

Do this Run Hiten's test with three agents this week and screenshot the answers. If you are not recommended, read the products that are and compare their pages to yours.

5. Meta wobbles again, and platforms hand some control back

TL;DR Advertisers on r/FacebookAds report another bad stretch on Meta in October. At the same time, Meta, Facebook and Google each published new controls.

Why it matters With delivery automated, a bad week can look like a bad creative. The new controls are small, but they hand some spend decisions back.

What people are saying

• r/FacebookAds: one agency counted 7 "very bad" days and 2 bad ones out of 10 in October, and another reports ROAS falling from 3.5 to 0.8 overnight. Leads are down on TikTok and Google too, some say.
• Google Ads is rolling out channel prioritization and budget limits for lower-priority inventory.
• Meta published updated placement control guidance, and Facebook added plain-language algorithm controls for users.

Do this Before you kill a creative on a bad day, check whether every ad in the account dropped on the same day. If they all did, it was delivery, not the ad.

By the numbers

Our data, from the ProvenHits library of Meta ads still running after 90+ days:

• HVAC: 5,211 active long-running ads, still the most of any vertical we track. The oldest has run 2,598 days, about seven years.
• Plumbing: 3,360, pest control: 3,255, dental: 3,211, law firms: 2,856.
• In ecommerce, shoes (2,528), home decor (2,471) and jewelry (2,456) lead.

Worth a click

• Sarah Levinger on vetting a creative strategist: ask for their thinking, not their portfolio of survivors.
• Sarah on Black Friday buyers who never come back, and tiered "winning pool" offers instead of sitewide discounts.
• Taylor Holiday with Skullcandy on using TikTok Shop to build Black Friday demand before the weekend.
• @alexgoughcooper: community keeps top creators when every brand bids for the same ones.
• Vlad's math on a "$100k day": $55k to Meta, $20k product and shipping, refunds still coming.
• @pounddz on AI drama Instagram pages, and brands paying affiliates monthly retainers to run them.
• A Shopify cart link that pre-loads the 3-pack with a discount, for abandoned-cart emails.

From ProvenHits

Theme 2's systems all start from the same filter: competitor ads that kept running. ProvenHits does that filter for you, showing Meta ads still live after 90+ days by vertical, so your morning script batch starts from ads someone has paid for months to keep.