📉 Office jobs face the AI cut

Welcome, AI enthusiasts

AI isn’t just changing how we work, it’s changing who works. With major studies showing real drops in hiring and predictions of widespread job loss, the question now is how the workplace will adapt in an AI-driven economy. Let’s dive in!

In today’s insights:

• Office jobs face the AI cut

• AI Mistakes Doritos for a Gun

• AI ads for Oreo maker

Read time: 4 minutes

LATEST DEVELOPMENTS

STANFORD DIGITAL ECONOMY LAB
📉 Office jobs face the AI cut

Evolving AI: Corporations use AI to rethink how many office workers they need.

Key Points:

• Major companies report shrinking teams as AI fills roles in support, coding and marketing.

• Analysts see millions of jobs displaced but even more created in emerging fields.

• Early cuts hit software, customer service and clerical roles.

Details:

AI surged in just a few years, moving from chat experiments to real workforce decisions. Goldman Sachs estimates 6% to 7% of U.S. jobs could disappear from AI adoption. The Stanford Digital Economy Lab found entry-level hiring dropped 13% in jobs exposed to AI. Amazon, Salesforce and banks say they expect leaner teams over time, with "scrappier" work output and fewer back-office roles. Meanwhile, new opportunities form in AI development, robotics and safety.

Why It Matters:

Employees already face new job expectations: use AI tools or risk falling behind coworkers who do. Entry‑level roles in AI‑exposed fields are shrinking even as seasoned staff hold on, while big operators talk openly about leaner teams and automation targets. The near‑term play is practical: workers ship work with AI every day and keep receipts on speed, quality and revenue; managers pick 2–3 workflows with clear ROI, set guardrails and retrain rather than rip out. Plan for gradual displacement, not an overnight cliff, and bank the gains into skills. Are you upskilling faster than your job is changing?

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KENWOOD HIGH SCHOOL
🛑 AI Mistakes Doritos for a Gun

Evolving AI: Maryland school AI flagged a chip bag as a weapon.

Key Points:

• AI system misread a Doritos bag as a gun, prompting armed police.

• Student handcuffed before review cleared the alert.

• Community demanding accountability and process changes.

Details:

A Baltimore County high school student was detained after an AI gun detection tool flagged an empty Doritos bag as a threat. Police arrived with guns drawn and handcuffed the student even though school security had already determined there was no weapon. Officials from the school district and the AI vendor expressed regret and say the incident will be reviewed. The community is questioning why officers still responded with force.

Why It Matters:

False positives like this show the real risk is not just bad AI, it is the escalation playbook built around it. Schools need human verification before dispatch, clear thresholds for alerts, and a hold-to-confirm workflow that pauses police until a trained reviewer checks the frame. Publish weekly false positive rates, require bias testing on hands and objects, and rehearse de-escalation for unconfirmed alerts. This keeps students safe without turning snack time into a felony stop.

MONDELEZ
 🍪 AI ads for Oreo maker

Evolving AI: Mondelez bets on AI-made commercials for cheaper TV campaigns.

Key Points:

• Mondelez spent over $40M on a generative video tool.

• AI TV ads planned for the 2026 holidays and possibly the 2027 Super Bowl.

• Mixed results so far, after Coca-Cola’s Christmas ads faced backlash.

Details:

Mondelez, the company behind Oreo, Milka, and Chips Ahoy, is using generative AI to cut marketing costs. Executives say the tech can slice production budgets in half. It’s already making social videos for cookies and chocolate brands, and will even shape Oreo product pages online soon. TV ads powered by the tool could appear by late 2026, signaling a shift in how big brands handle storytelling.

Why It Matters:

Mondelez is treating AI like a cost lever and a speed dial, claiming up to half off production and a path to near‑instant creative swaps across markets and seasons. That tees up more variants, tighter A/B testing, and faster reactions to sales data, but it also raises a trust test on the biggest stages. Transparency rules are coming, audiences already torched Coca‑Cola’s AI holiday spots, and trade bodies are pushing labels on synthetic ads. If snack brands can keep quality high and disclose clearly, they’ll bank savings without burning goodwill. Otherwise, prime time becomes a cringe reel.

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