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Gary Marcus warns that recent “AI takeover” essays are weaponized hype, arguing the bigger near-term risk is executives overestimating what today’s models can actually do.

Also, ASpotify says many of its top engineers no longer write daily code, instead supervising and debugging AI-generated implementations.

Plus, Microsoft’s Mustafa Suleyman says AI could automate half of routine white-collar tasks within a few years, pushing workers toward oversight and decision-making roles.

Oh yeah, and OpenAI is quietly testing sponsored answers inside ChatGPT, raising early questions about how ads could affect trust in AI responses

Today’s newsletter includes:

• 📰 AI NEWS RECAP

• 🤿 AI DEEP DIVE

• 📝 AI PROMPT OF THE WEEK

• 🎨 AI IMAGE OF THE WEEK

📰 AI NEWS RECAP

Something Big Is Happening

A useful reminder in the middle of the AI hype cycle.

Gary Marcus recently responded to a viral post claiming something dramatic was about to happen in AI. His argument was simple: excitement is not the same thing as evidence.

Here is the part worth paying attention to.

1. Breakthrough claims travel faster than verification
   Big predictions spread widely because they are compelling.
   Measured analysis spreads slowly because it is careful.

2. Today’s systems are powerful, but still limited
   They can reason, summarize, and generate at impressive levels.
   They still struggle with reliability, consistency, and deep factual grounding.

3. The real risk is decision-makers reacting to hype
   When leaders assume capabilities that do not yet exist, they make poor investment, hiring, and strategy decisions.

What this means for professionals

Treat AI announcements the way you would treat any new technology release:

Test capabilities before building strategy around them

Separate demonstrations from production readiness

Focus on measurable impact, not headlines

AI progress is real.
So is the tendency to overestimate what can be deployed today.

The competitive advantage is not believing the loudest prediction.
It is understanding the technology at the level where you can use it responsibly and profitably.

The post got 80MM+ views. Read the post or the TLDR here:

AI video startup Higgsfield has rocketed to a $300 million revenue run rate in 11 months, but creators and investors say the growth leans on shock content, misleading marketing, and heavy discounting. Influencers report racist and offensive promo videos, missing payouts, and banned accounts, raising questions about whether the business model is sustainable or responsible.

Anthropic raised $30 billion in a Series G round at a $380 billion valuation, cementing it as one of the world’s most valuable private tech companies. The money, led by GIC and Coatue with Microsoft, Nvidia, and others participating, will go toward scaling Claude, AI infrastructure, and a potential 2026 IPO push.

Spotify says many of its best developers have not written a line of code since December because internal AI tools now handle most implementation work. Those engineers instead focus on reviewing, guiding, and debugging AI-generated code, which leadership argues is boosting productivity and letting senior talent operate more like architects than typists.

Microsoft AI CEO Mustafa Suleyman predicts that in the next few years, AI will automate at least half of routine white-collar tasks such as drafting emails, summarizing documents, and basic analysis. He argues this will reshape knowledge work into higher-level oversight and decision-making roles, while warning that companies and governments are not moving fast enough on reskilling.

AI.com is a consumer-facing portal that routes users to a curated AI assistant experience, making it a highly visible entry point into the broader AI ecosystem. It has become a talking point because owning such a generic, high-traffic domain is a powerful distribution advantage for whichever company controls it at a given time.

More Tesla and xAI executives have resigned amid reports of internal tension over Elon Musk’s aggressive timelines and shifting priorities. The departures fuel concerns about leadership churn and strategic stability just as xAI tries to compete with OpenAI, Anthropic, and Google for top talent and enterprise deals.

OpenAI has begun testing ads in ChatGPT with a small set of users, showing sponsored answers and links labeled as such inside conversations. The company says it is proceeding cautiously to balance monetization with trust, but critics worry ads could bias responses or blur the line between neutral assistance and paid promotion.

🤿 AI DEEP DIVE

Is the most viral AI post of the year too long to read?

Watch the recap here 👇

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