AI Just Got 7x Cheaper. Are You Still Overpaying?

Two AI models launched two hours apart last night and broke the industry's oldest excuse for charging premium prices. That was just the opener. YouTube rewrote the rules for anyone trying to get paid on the platform, Twitch quietly opted your content into training Amazon's AI, and Google's assistant quietly became something a billion people use every month, whether they meant to or not. Here's what actually happened today, and what it means for your business.

Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.

Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.

Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.

Watch the recording now

What happened: DeepSeek released V4 Pro and xAI released Grok 4.6 within two hours of each other on August 12, according to BigGo Finance and Cryptopolitan. DeepSeek's model costs about $0.87 per million output tokens, roughly one-seventh of what Grok 4.6 charges, while landing close to it on coding and reasoning benchmarks. DeepSeek has already warned it may raise prices later.

Why it matters to you: Two frontier AI models launching the same day at wildly different prices means real competition is showing up below the premium tier, not just among Anthropic, OpenAI, and Google. If you or your team pay full price for an AI tool because "it's the best one," that assumption gets weaker every time a cheaper option lands within shouting distance of it.

What to do about it: Before you renew any AI subscription on autopilot, spend 10 minutes checking what a cheaper model can do for the same task. The gap is closing fast.

What happened: Google's Gemini app crossed 1 billion monthly active users, CEO Sundar Pichai announced, making it the company's 14th product to hit that mark and matching the milestone ChatGPT reached in June, according to TechCrunch and 9to5Google. Google says 63% of users now talk to it by voice, and it generates more than 150 million images a day.

Why it matters to you: Gemini isn't just a chatbot app anymore. It's built into Google Search, Workspace, and Android, so a lot of that billion never went looking for an "AI assistant" on purpose, they just started using one. If your customers research your business online, some of them are now getting an AI generated summary before they ever click through to your website.

What to do about it: Search your own business name and see what Google's AI Overview says about you. That's increasingly the first impression people get.

What happened: YouTube is doubling the bar for its Partner Program, from 4,000 watch hours to 8,000 (or from 10 million Shorts views in 90 days to 20 million), effective February 1, 2027, according to MediaPost. Creators must also keep pulling 10 million Shorts views every 90 days to keep earning from short-form content.

Why it matters to you: If you or anyone on your team creates video to market your business, hitting "monetized" status on YouTube just got harder. The platform says the change is meant to weed out low-effort, mass-produced filler as Shorts volume explodes, which tells you something about how much of that filler is already AI-made.

What to do about it: If YouTube ad revenue is part of your content plan, don't wait until 2027 to check whether you'd still qualify under the new math.

What happened: New usage data from OpenAI shows non-developer use of its AI agents grew 137-fold over the past year, with legal, finance, and recruiting teams crossing over to make agents their primary tool faster than engineering teams did, according to OpenAI's own report. More than a quarter of requests now ask for 8 or more hours of work in a single task.

Why it matters to you: This isn't chatting with AI for a quick draft anymore. It's handing over a task and walking away for hours. If your business still treats AI as "the thing that helps write emails," a lot of non-technical teams elsewhere have already moved past that.

What to do about it: Pick one recurring task that eats a real chunk of your week, research, first-pass reports, drafting, and test whether an AI agent can run the whole thing instead of just a piece of it.

What happened: Amazon will train its generative AI models on Twitch streamers' videos, clips, and chat by default, with the opt-out tucked inside account settings rather than asked upfront, according to TechCrunch and Engadget.

Why it matters to you: If your business streams on Twitch, or posts anywhere owned by a company that also sells AI, "we'll use your content unless you find the opt-out" is quietly becoming the default deal. It's worth checking the settings on every platform you post to, not just this one.

What to do about it: Twitch creators can opt out under Settings, then Privacy. Do it today if you don't want your streams training Amazon's models.

What happened: Lovable, the "vibe coding" platform that builds an app or website from a plain English description, raised $400 million at a $13.3 billion valuation, more than double where it stood in December, with annualized revenue nearing $600 million, according to Bloomberg and Tech Startups.

Why it matters to you: Tools like this are built for small business owners without a developer on staff. A valuation jump this fast means serious money is betting that "describe it, don't build it" becomes the normal way small businesses get a website or a simple internal tool made.

What happened: Apple is negotiating multiyear, nine-figure deals with news publishers to license real-time content for a revamped, AI-powered Siri, so it can answer current-events questions with licensed reporting instead of generated summaries, according to MacRumors and 9to5Mac.

Why it matters to you: Apple is essentially admitting that AI generated answers about current events are a legal and accuracy risk worth paying to avoid. If your business publishes news, reviews, or local updates, licensing deals like this could eventually be a way small publishers get paid when AI assistants use their content, or a way they get left out if they're not part of a deal.

Every story today is really the same story wearing a different hat. AI got 7 times cheaper overnight and nobody voted on it. A billion people are using Google's AI, plenty of them without choosing to. YouTube and Twitch just quietly rewrote the rules for anyone making money off content, and Apple is trying to license its way out of getting the news wrong. None of this means you should panic and unplug. It means deciding, on purpose, which of these changes actually touch your business and which ones are just noise on the track. Pick your stops. Skip the rest.

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Talk tomorrow,
Mark Shilensky

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