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Question

Is AI paying off for companies?

Of the 10 moments we cut that answer this, 7 say it’s paying off and 3 say it pays off in places. Jad Naous said on a16z Podcast (Oct 16, 2026) that AI can deliver production work much faster, turning a six-month data-lake feature into a ten-day project. Alex Danilowicz said on Lightcone (Oct 22, 2026) that some AI design workflows save hours when teams provide company context upfront.

Where they stand

It’s paying off7

  1. The MAD Podcast · · 2 min

    Mistral says its models speed senior researchers up two to four times

    “it accelerates our most senior researcher by a factor two, three or four with our models.”
    Pierre StockVP of Science, Mistral AI1:14:53
  2. All-In · · 3 min

    AI-written code can outperform when agents run evals

    “We use agents and coding agents now for probably half the code that is written inside our place, and it is superior to what was written before.”
    Arvind KrishnaChairman & CEO, IBM20:08
  3. a16z Podcast · · 7 min

    AI cut a complex data-lake project from six months to ten days

    “And that took maybe about 10 days. In previous days, that would have taken maybe about six months for a single person.”
    Jad NaousCEO, Grepr24:04
  4. Latent Space · · 4 min

    Multi-site rollouts, not pilots, prove a robot creates value

    “What's really hard is that the customers believe or validate that your robot creates enough value that they want to deploy your robots across many of their sites.”
    Jason MaCo-founder & Chief Scientist, Dyna Robotics39:37
  5. Big Technology Podcast · · 5 min

    AI revenue may justify infrastructure spending sooner than expected

    “And if you look at like Amazon, for example, the biggest builder of AI infrastructure, all of their AI infrastructure investments are profitable today.”
    Dylan PatelFounder & CEO, SemiAnalysis12:26
  6. Grit · · 3 min

    Vercel runs support, BDR and RevOps with agents

    “the remaining support team that we have really is now finding legitimate problems in the product and then working really closely with the engineering”
    Jeanne GrosserCOO, Vercel58:16
  7. BG2 · · 4 min

    Headcount is flat while revenue grows at Mag7 and AppLovin

    “Right-sizes the workforce. At the same time as AI comes in, now the company's lean and mean, innovates, outcompetes companies like Google and Meta”
    Thomas LaffontCoatue49:14

Pays off in places3

  1. Lightcone · · 3 min

    Bring company context into AI design before prompting

    “spend the 10 minutes to bring in your existing context. It'll save you hours in the long run.”
    Alex DanilowiczCEO, Magic Patterns15:14
  2. The Pragmatic Engineer · · 8 min

    Uber is shifting from diff counts to feature velocity

    “we are internally talking about not necessarily just diff velocity but feature velocity”
    Uday Kiran MedisettyDistinguished Engineer, Uber1:24:06
  3. Decoder · · 5 min

    Enterprise users tolerate brittle agents; consumers walk away

    “What I know about consumers is that the first time it doesn't work, they just walk away. They have no incentive to try again to overcome frustration or brokenness.”
    Nilay PatelEditor-in-chief, The Verge19:49

Each moment is a few minutes of a long interview, cut by Real Alpha and filed under how it answers by a model that read its claim and quote. Open a moment for its full transcript. Last moment added Oct 23, 2026.