At CES, McKinsey confirmed a model of the long run that had nothing to do with
Bitcoin
0.85%
immediately, however the whole lot to do with how crypto ought to construct.
McKinsey hosted a demo on the Fountain Bleu all about “rewiring” product growth: taking cycles that used to take six to 9 months and compressing them into roughly two weeks utilizing AI, digital testing, and simulated clients.
“The important thing to nice product is quick iteration. Do that. Did it work? Okay, it’s okay, however these three issues are nonetheless an issue.” – Dave Fedewa, Associate at McKinsey instructed 99Bitcoins
Right here’s what to know:
DISCOVER: Subsequent 1000X Crypto: 10+ Crypto Tokens That Can Hit 1000x in 2026
CES 2026: What Crypto Builders Can Steal From AI’s New Product Playbook
What McKinsey showcased at CES is an AI workflow that’s placing different crypto provide chain firms like VeChain to disgrace.
McKinsey AI is pulling in over 100,000 unprompted feedback from TikTok, opinions, and different social media dialogue, then clustering them into attributes that engineers can act on.
“We will ingest 100,000 feedback in a pair hours on a particular house, means higher than a survey,” Fedewa instructed us.
Lots of people will lose their jobs quickly
McKinsey’s CEO says he now counts AI brokers as “folks” the agency “employs.”
The agency at present has 40,000 people and 20,000 brokers, with a acknowledged purpose of reaching parity inside 18 months. pic.twitter.com/Q8fMrtgf0X
— Dr Singularity (@Dr_Singularity) January 13, 2026
Visible ideas are inbuilt about an hour, then examined with massive samples and AI “personas” like a suburban mother with three children or a 45-year-old soccer dad.
Think about persona brokers for a Bitcoin maxi, a DeFi yield chaser, and a mobile-only retail consumer, all stress-testing your product copy, flows, and token design earlier than mainnet.
The previous mannequin was easy: construct, construct, construct, then check and pray. The brand new mannequin is tiny construct, relentless testing, fast iteration. Client manufacturers at the moment are getting statistically important reads from 1000’s of individuals in days, not from 20 folks behind a one-way mirror.
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Is ChatGPT ALL you Want in 2026? Why Generic AI Gained’t Save Your Crypto Challenge
One of many extra sincere components of the dialog was the swipe at generic AI solutions:
“You may plug all these questions into ChatGPT… The solutions that might come out wouldn’t be good,” Fedewa stated.
The McKinsey staff believes good solutions require good coaching, and good coaching requires expertise and proprietary knowledge. They’ve been doing this the exhausting means for 20 years, constructing a library of product instances and outcomes, then tuning AI on high.
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The Actual “Rewire” Alternative For Bitcoin And Web3
If CPG giants can take six- to 9‑month product cycles and crush them into a few weeks utilizing AI, agentic personas, and digital twins, crypto groups constructing wallets, exchanges, and DeFi rails don’t get guilty “market circumstances” for shifting slowly.
There’s a blueprint on the desk. The one actual query is which builders on this house are going to make use of it first.
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Key Takeaways
At CES, we watched a model of the long run that had nothing to do with Bitcoin immediately, however the whole lot to do with how crypto ought to construct.
The McKinsey staff believes good solutions require good coaching, and good coaching requires expertise and proprietary knowledge
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