OpenAI’s $100 plan signals a new AI pricing era

AI had a busy week across healthcare, platforms, and pricing. From breakthroughs in disease detection to growing tension between open and closed ecosystems, and now a sharper push toward premium power users, the direction is becoming clearer. The tools are improving fast, but so are the rules and the costs. What looked like separate updates are really parts of the same shift.

In today’s post:

• The $100 AI plan war just got real

• AI might detect disease before doctors can

• The quiet fight shaping the future of AI

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BREAKTHROUGH

AI pricing is no longer about access, it’s about power users

OpenAI just introduced a new $100/month ChatGPT plan. It sits right between Plus and the high end Pro tier. This isn’t just pricing. It’s positioning.

Here’s everything you need to know:

• OpenAI added a $100 Pro plan to bridge the gap between $20 and $200 tiers.

• The new plan focuses heavily on coding through tools like Codex.

• It offers 5× more coding capacity than the Plus plan.

• This move directly challenges Anthropic, which already has a similar tier.

• The real competition is no longer features, but how much usage you get.

• Over 3 million people now use Codex weekly, growing fast.

• None of these plans are unlimited, even at the highest price point.

AI pricing is starting to look like cloud pricing. You don’t pay for access. You pay for intensity. The more serious your work, the more you spend. And that changes who AI is really built for. Not everyone. Just the ones pushing it hardest.

AI HEATHCARE

Artificial intelligence is quietly reshaping how we detect Huntington’s disease

How exactly AI is entering Huntington’s disease research. The shift isn’t loud, but it’s meaningful. AI is starting to see what humans miss.

Here’s everything you need to know:

• AI models can analyze thousands of data points and detect patterns invisible to clinicians.

• Researchers are using genetic data to uncover “modifier genes” that influence when symptoms begin.

• This means two people with the same mutation may have very different disease timelines.

• AI trained on brain scans and clinical scores predicts symptom onset 24% better than older methods.

• Better predictions could transform how clinical trials recruit and group patients.

• Wearables like smartwatches can track subtle movement changes using AI analysis.

• The biggest barrier remains trust, since many AI systems cannot explain their decisions.

AI won’t replace doctors anytime soon. But it will change what doctors can see The real shift isn’t automation. It’s perception. When machines start spotting patterns earlier than humans, the timeline of disease changes. And when the timeline changes, everything else follows.

RESEARCH

Behind the scenes, AI companies are starting to close their ecosystems

A small but telling incident involving Anthropic and OpenClaw. It looked minor, but it reveals a bigger shift. The AI ecosystem is tightening.

Here’s everything you need to know:

• Anthropic briefly banned OpenClaw’s creator over “suspicious” usage patterns.

• The ban was reversed quickly, but the signal was already clear.

• Anthropic recently changed pricing so third-party tools must pay separately via API.

• These tools, called “claws,” are more compute-heavy than normal prompts.

• At the same time, Anthropic is building its own competing agent tools.

• This creates tension between open ecosystems and closed platform strategies.

• Developers now have to design for multiple models while navigating shifting rules.

Every platform starts open. Then it starts protecting its edge. What we’re seeing isn’t about one ban. It’s about control. The companies building AI want to own the layer where value accumulates. And developers are stuck in the middle, adapting in real time.

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