Good morning,
Today’s edition reveals a pattern CXOs can’t ignore: the hype is evolving — and so is the pushback. Whether it’s Meta recalibrating its AI ambitions,
Google navigating regulation, or startups collapsing behind the no-code promise, the lesson is clear: clarity, not just velocity, now defines enterprise AI leadership.
Meta’s Superintelligence Play — and a Quiet Retreat from Openness
What’s happening:
Meta has announced a new team to pursue “superintelligence,” aiming to
leap beyond current foundation models. But in a notable shift, Zuckerberg is walking back his earlier open-source stance, citing safety and misuse risks.
What’s in it for CXOs:
This marks a new phase in AI platform strategy — more guarded, less open. Enterprises betting on open ecosystems may need to factor in tighter access, model constraints, and vendor dependencies.
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Google to Sign EU’s AI Code — But Warns of Innovation Risks
What’s happening:
Google says it will support the EU’s voluntary AI Code of Practice, even as it
cautions that overly rigid rules may hinder innovation and force premature disclosure of proprietary tech.
What’s in it for CXOs:
Compliance isn’t a future problem — it’s operational now. Leaders must prepare for trade-offs between transparency and competitiveness, especially if building or deploying in regulated zones.
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Builder.ai saga: A Cautionary Tale in the No-Code AI Dream
What’s happening:
Once billed as a white-hot AI startup, Builder.ai crashed and burned badly. Former
employees have now come out and shared a behind the scenes picture of the collapse.
What’s in it for CXOs:
This is a cautionary tale. No-code or AI-assisted development tools still require robust back-end ops, human oversight, and realistic delivery timelines. Leaders exploring such platforms should vet not just the tech — but the execution model behind it.
Read moreAI Hype Is Quietly Disempowering Workers
What’s happening:
A powerful essay highlights how overblown enterprise AI narratives can erode worker agency and morale, especially when automation outpaces upskilling.
What’s in it for CXOs:
AI adoption isn’t just a tech play — it’s a cultural one. To avoid backlash and fatigue, leaders must communicate clearly, involve teams early, and invest in reskilling alongside automation.
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If this brought you value, share it with your teams. And if you’re making AI work in your org — quietly or at scale — we’d love to hear your story. Drop us a line at ramarko.sengupta@timesinternet.in
Warm regards,
Team ET Enterprise AI
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