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My fellow AI explorers

If the job hunt feels like an endless side-quest, respawns, no loot, you’re not imagining it. Between macro slowdowns, overstuffed applicant pools, and AI quietly eating the bottom rungs of the ladder, grads and early-career folks are getting squeezed.

In today’s edition:

• 🧠 AI is thinning the bottom rung (why entry roles vanish first—and where they reappear)

• 🧰 Hiring’s new gatekeepers (ATS, video scoring, and the keyword arms race)

• 🌱 Adaptation playbook (skills, sectors, and workflows that still compound)

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AI

🧠 “First on the chopping block”: AI’s squeeze on entry-level roles

The fastest automation hits the most repetitive work—admin ops, basic support, routine coding, ad ops, junior PM “glue” tasks. That’s been the entry ramp for years, and it’s exactly where AI is now strongest. The result: fewer classic “new grad” seats, more competition for the ones that remain.

• Entry roles concentrate repetitive, digital tasks—prime targets for AI speedups

• Cost-cutting plus slower post-pandemic hiring compounds the squeeze

• Knock-on effect: if the bottom rung thins out, the whole career ladder gets harder to climb

📊 According to a Stanford study (via BBC), since late 2022, 22–25 year olds saw a 13% drop in roles most exposed to AI (software dev, marketing, support).

What this leads to (and use-cases):
Expect fewer generalist junior reqs and more AI-adjacent junior roles (automation analyst, prompt/ops specialist, data quality, AI support engineer). Companies will still hire early talent, but they’ll prefer candidates who already operate with AI—think “do the work + show how you made it 3–10× cheaper/faster.” New grads who ship tiny but real products (agents, internal tools, lightweight data pipelines, creative workflows) will clear the bar faster than those with only polished resumes.

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AI Talk

📝 Your first interviewer is an algorithm

Most mid-to-large companies now filter applications with ATS and AI layers: resume keyword scans, chatbot screeners, even automated video analysis. That shifts your job from “write a great cover letter” to “beat the parser, then impress the human.”

• Keywords matter: mirror the job description verbatim for skills, tools, and outcomes

• Structure matters: clean headings, bullet quantification, no graphics that break parsing

• Signals matter: links to real work (repos, demos, dashboards) trump adjectives

📹 Some firms even use AI to score video interviews, as reported in this BBC feature.

What this leads to (and use-cases):
The meta-skill is AI-aware positioning: tailoring resumes per role, using model-assisted rewrites, and packaging proof (screenshares, mini-case studies, Loom walkthroughs). Expect more asynchronous screens and tiny work samples. Treat each as an on-ramp to a portfolio item you can reuse.

AI

🌱 Where the opportunities still grow (and why soft skills matter more)

Not every sector is shrinking. Roles that mix tools with context, judgment, and people continue to hire: healthcare ops, green tech, field service, human-in-the-loop content, partner success, community/creator ops. Meanwhile, AI-forward companies now expect you to show how you use AI to do your job better.

• “AI-first” cultures measure your uplift (faster analyses, cleaner data hygiene, better handoffs)

• Human + tool beats tool alone where stakes, nuance, or trust are high

• Soft skills compound: structured thinking, interviewing users, product taste, ethics & safety lenses

🗣️ As BBC reporter Nathalie Jimenez put it: “See AI as your co-pilot. What’s valuable are critical thinking, judgment—what makes us human.”

What this leads to (and use-cases):
Translate soft skills into operational artifacts: decision docs, experiments, de-risking checklists, customer insights memos. Pair each with the AI steps you used (search plan, chain-of-thought scaffolding, quality guardrails). This reframes you from “junior headcount” to “force multiplier.”

30-Second AI Play

⚡ Beat the Bots: An ATS-Optimized Application Sprint

1. Collect the spec: Paste the job description into your AI tool and ask: “Extract exact skills/tools, hard requirements vs. nice-to-haves, and measurable outcomes.”

2. Generate a keyword map: Prompt: “Turn these into ATS keywords and a 5-bullet ‘impact’ summary aligned to the role.”

3. Rewrite your resume section-by-section: “Refit my bullets to match these keywords, each with a metric (speed, cost, quality). Keep plain formatting.”

4. Build a one-page proof: Ship a quick demo—mini agent, automation, or analysis. Record a 2-minute Loom of what/why/how and ROI.

5. Craft a 6-sentence cold note: “Hook + 1 relevant result + 1 metric + 1 link to proof + ask for 10 minutes.” Send to hiring manager + team ICs.

6. Track and iterate: Keep a spreadsheet of reqs, keywords, outcomes, replies. Each rejection sharpens your template set for the next 10.

💡 Pro tip: Create a “role OS” folder per job family (e.g., RevOps automation, Support+AI, Creator ops). Store keyword maps, resume variants, and two reusable micro-demos. You’ll apply in hours—not days.

Other Relevant AI News!

💻 NVIDIA’s new Rubin CPX GPU targets million-token context and generative video; the pitch is ROI-heavy. Peek the details here.
📈 Oracle shocked markets with a cloud-AI surge, powering more inference than many expected. Catch the recap here.
🔍 Salesforce unveiled SFR Deep Research, a reinforcement-trained agent that reasons, searches, and codes. See benchmarks here.
📝 Microsoft is blending Anthropic into 365 to reduce single-vendor risk. Inside move here.
📱 Claude rolled out app connectors (maps, calendar) and file creation. Mobile-first updates here and here.
🍏 Apple is reportedly cooking an AI search play for Siri; acquisition rumors abound. Scoop here.
🤖 Unitree eyes a $7B IPO, intensifying the humanoid/dog-bot race. Background here.
🖼️ Tencent’s HunyuanImage 2.1 ships open-weights with long-prompt control. Model notes here.
🎨 ByteDance Seedream 4.0 is pushing image gen toward Nano-Banana-level quality. Try it here.
🇨🇳 Alibaba’s Qwen3-Max enters the leaderboard chat. Placement and pricing chatter here.
🧩 Embedding Gemma tops open multilingual text embeddings <500M params. Leaderboard here.
🌌 Two stealth Soma models with 2M context popped on OpenRouter. Peek here.
💰 Cognition raised $400M at $10.2B to push coding agents (with some celebrity LP spice). Announcement here.
🧠 AlterEgo teased “silent sense” — near-telepathic wearable for silent speech. Thread here.
🎮 Oasis 2.0 lets you reskin game worlds on the fly. Demo here.

Golden Nuggets

Until our next AI rendezvous,

Anthony | Founder of Uncover AI

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