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This Job Title Didn't Exist a Year Ago
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Hi! Here are today’s top AI stories:
This Job Title Didn't Exist a Year Ago
AI Predicts 92 Million Job Losses
Startups To Watch
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This Job Title Didn't Exist a Year Ago

Harvard Business Review published a piece this month with a simple but striking argument: the next important leadership role isn't about using AI - it's about managing it. Not the technology itself, but managing AI agents the way you'd manage a team of people.
These aren't chatbots answering basic questions anymore. AI agents now complete multi-step tasks on their own. They make judgment calls. They send emails, process requests, and take real action - without a human approving every step.
Here's the number that matters: 40% of company software will include these kinds of AI agents by end of 2026 (Gartner). That's up from less than 5% last year. Someone inside every organization will need to oversee them - set their goals, check their work, and decide when to step in.
That job looks a lot like what good managers already do. You set expectations. You delegate. You review output and catch errors. You course-correct. The difference is your direct report is an AI. Salesforce already has people in this role. Google's own research calls it employees becoming "managers of AIs."
Ayesha's Take: This role doesn't go to the most technical person in the room. It goes to the person who knows how to lead, communicate expectations clearly, and build accountability - human or otherwise. That's a people skill, not a coding skill. If you're a mid-level manager wondering where you fit in an AI-driven workplace, this is your answer. The job is already forming around you. Step into it before someone else does.
AI Predicts 92 Million Job Losses

Deutsche Bank did something unusual this week. Instead of asking economists how AI will reshape the workforce, they asked the AI itself.
Their internal tool, dbLumina, produced a blunt report.
Software development is first in line - logic and pattern-based work is exactly what AI was built for.
Wealth management is next, with AI advisors expected to handle 80% of everyday financial guidance by 2027.
Customer service is nearly gone already, with 75% of interactions projected to be fully automated by end of this year.
They also asked what AI can't do. It flagged jobs requiring physical presence and human judgment in real time - plumbers, nurses, therapists, early childhood teachers.
The summary: 92 million jobs displaced by 2030, offset by 170 million new ones created.
Ayesha's Take: Here's what I think gets lost in the doom cycle: the disruption itself will likely take longer than 2030 to fully materialize due to enterprise friction, resistance, and legacy systems. It means we have a window. Not a long one, but a real one—to redesign curricula, retrain workforces, and push policy forward before the wave crests. The question isn't whether AI will reshape work. It's whether we use the time we have or waste it. I'd rather bet on urgency than resignation.
Sources: Fortune
Deutsche Bank's AI just predicted 92 million job losses. How are you feeling? |
Startups To Watch
ZaiNar: Indoor GPS Without the Hardware Ever lost track of equipment in a hospital, or a worker on a construction site? ZaiNar uses the WiFi and 5G signals already around you to locate anything indoors — down to less than a meter — without cameras or sensors. Nine years in stealth, 90 patents issued, $450M in contracts already signed. If this scales, it does for indoor spaces what Google Maps did for streets. Source: The Information
Ricursive: AI That Designs Its Own Chips Right now, designing a single AI chip layout takes human engineers up to a year. Ricursive — founded by two former Google Brain researchers — built AI that does it in hours and improves its own designs over time. $335M raised, $4B valuation, four months old. Why it matters: if AI can make its own hardware cheaper and faster, the cost of everything AI touches comes down with it. Source: TechCrunch
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