At CES, McKinsey showed a version of the future that had nothing to do with .cwp-coin-chart svg path { Stroke-width: 0.65 !important; } .cwp-coin-widget-container .cwp-graph-container.positive svg path: nth-of-type (2) { trait: #008868 !important; } .cwp-coin-widget-container .cwp-coin-trend.positive { color: #008868 !important; background-color: transparent !important; } .cwp-coin-widget-container .cwp-coin-popup-holder .cwp-coin-trend.positive { border: 1px solid #008868; border-radius: 3px; } .cwp-coin-widget-container .cwp-coin-trend.positive::before { border-bottom: 4px solid #008868 !important; } .cwp-coin-widget-container .cwp-coin-price-holder .cwp-coin-trend-holder .cwp-trend { background-color: transparent !important; } .cwp-coin-widget-container .cwp-graph-container.negative svg path: nth-of-type (2) { trait: #A90C0C !important; } .cwp-coin-widget-container .cwp-coin-popup-holder .cwp-coin-trend.negative { border: 1px solid #A90C0C; border-radius: 3px; } .cwp-coin-widget-container .cwp-coin-trend.negative { color: #A90C0C !important; background-color: transparent !important; } .cwp-coin-widget-container .cwp-coin-trend.negative::before { border-top: 4px solid #A90C0C !important; }
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directly, but everything to do with how crypto should be built.
McKinsey held a demo at Fountain Bleu on the topic of “rewiring” product development: taking cycles that previously took six to nine months and compressing them into about two weeks using AI, digital testing and simulated customers.
“The key to a good product is rapid iteration. Try this. Did it work? Okay, it’s good, but these three things are still a problem.” – Dave Fedewa, partner at McKinsey, told 99Bitcoins
Here’s what you need to know:
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What McKinsey showcased at CES is an AI workflow that puts other crypto supply chain companies like VeChain to shame.
McKinsey AI takes more than 100,000 spontaneous comments from TikTok, reviews, and other social media dialogue, then aggregates them into attributes that engineers can act on.
“We can ingest 100,000 comments in a few hours on a specific space, much better than a survey,” Fedewa told us.
Many people will soon lose their jobs
McKinsey CEO says he now views AI agents as “people” the company “employs.”
The company currently has 40,000 humans and 20,000 agents, with a stated objective of reaching parity within 18 months. pic.twitter.com/Q8fMrtgf0X
– Dr Singularity (@Dr_Singularity) January 13, 2026
Visual concepts are built in about an hour, then tested with large samples and AI “personas,” like a suburban mom with three kids or a 45-year-old soccer dad.
Imagine personal agents for a maxi Bitcoin, a DeFi yield hunter, and a mobile-only retail user, all testing your product copy, flows, and token design before mainnet.
The old model was simple: build, build, build, then test and pray. The new model is tiny build, relentless testing, and rapid iteration. Consumer brands now receive statistically significant readings from thousands of people in a matter of days, not 20 people behind a two-way mirror.
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One of the most honest parts of the conversation was the AI’s sweeping generic responses:
“You could put all these questions into ChatGPT… The answers that would come out would not be good,” Fedewa said.
The McKinsey team believes that good answers require good training, and good training requires experience and proprietary data. They’ve been doing this the hard way for 20 years, building a library of product cases and outcomes, then scaling AI on top.
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The Real Rewire Opportunity for Bitcoin and Web3
If CPG giants can take six-to-nine-month product cycles and squeeze them into weeks using AI, agent personas, and digital twins, the crypto teams building DeFi wallets, exchanges, and rails can’t blame “market conditions” for changing slowly.
There is a plan on the table. The only real question is which builders in this space will use it first.
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Key takeaways
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At CES, we observed a version of the future that had nothing directly to do with Bitcoin, but everything to do with how crypto should be built.
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The McKinsey team believes that good answers require good training, and good training requires experience and proprietary data.
The article 99Bitcoins Exclusive: CES 2026 Saw McKinsey AI Rewire Product Development Faster Than Any Crypto Bull Run appeared first on 99Bitcoins.

