Math Proofs and Picket Lines

· The Fluency Briefing

The Fluency Briefing

Your Guide to What's Happening in AI and Why It Matters to You

Tuesday, July 21, 2026


Newsletter header image

You know AI is getting cheaper and smarter every quarter, but your hardware bill is about to move in the opposite direction. TSMC just locked in price hikes of up to 25% for 2027, Claude casually disproved an 87-year-old math conjecture over the weekend, and tech workers who once scoffed at unions are now organizing because of the tools they built themselves.

Today in AI:


Section break image

Today's Takeaway:

TSMC's price hikes land just as AI's appetite for advanced chips is insatiable -- the company's advanced nodes already generate 77% of its revenue, according to tomshardware.com.

Meanwhile, Claude Fable 5 disproving the Jacobian conjecture shows frontier models delivering real intellectual output, not just parlor tricks. The tension is sharp: AI is getting dramatically more capable, but the physical infrastructure to run it is getting more expensive across the board. Think of it like a car engine that keeps gaining horsepower while fuel prices climb in lockstep. For you, this means AI tools will keep improving, but the subscription fees, device prices, and API costs that fund those improvements are heading in one direction. The companies building on TSMC's chips -- Apple, Nvidia, AMD -- don't have a viable alternative fab at this scale, which means they'll pass costs downstream. The optimistic read is that smarter models need fewer chips per task; the realistic read is that demand is growing faster than efficiency gains can offset. If you're budgeting for AI tools or hardware in 2027, build in a cushion now.


💡 Fluency Moment - Building your AI fluency, one term at a time.

Fluency Moment banner

"Hallucination"

In plain English: AI confidently states false information as if it were completely true and accurate. Think of it like: Like a friend who confidently gives you wrong directions rather than admitting they have no idea. Why you'll hear about it: Claude disproving an 87-year conjecture raises questions about when to trust AI outputs.


Newsletter closing image

The Bottom Line

The Pattern: AI's cost story is splitting into two diverging lines -- the software layer races toward free or near-free access, while the physical layer (chips, energy, data centers) tightens supply and raises prices. That squeeze will determine who can afford to build on frontier models and who gets priced out.

The Other Read: TSMC hikes prices almost every cycle; a 5-10% baseline increase is standard business practice for a near-monopoly, not a crisis. Fair point, and historically those increases got absorbed. But the surge premiums for additional AI chip capacity are new, and we think that's the number worth watching.

Your Move: Open 9to5mac.com and check the updated Apple pricing table -- takes two minutes. If you're planning a hardware refresh or advising clients on one, knowing what's already risen helps you forecast what's next before September's iPhone launch.


What We're Working On

Founding Cohort Special - 60% Off! - Use code MAF20 to join for just $20/month (regularly $50). Get weekly group sessions & workshops, self-paced courses for all levels, access to tools & templates, challenges with peer feedback, and 24/7 support community. → Join Now

Free 30-Minute AI Consultation - Discover how My AI Fluency can help your business unlock the potential of AI. We'll discuss your goals, explore practical AI opportunities for your industry, and outline clear next steps. → Schedule Free Call

How AI-Fluent Are You? - Test your AI fluency with our interactive quiz. See how you stack up and discover what to learn next. → Take the Quiz

💬 Community | 📞 Book a Consultation | 🌐 Website

My AI Fluency

Fluently yours, The My AI Fluency Team