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The skill gap no one is talking about

The developers who aren't falling behind aren't moving faster. They've learned what to hand off.

I've been using Even G2's Terminal Mode — a wearable AI terminal that lets you supervise agents away from your desk. The #CodeInTheWild campaign (live June 16) shows developers doing exactly that from ski lifts, roller coasters, grocery lines.

It looks like a novelty. It isn't.

Those developers aren't impressive because of where they're coding. They're ahead because they've already made the decisions that matter — and delegated everything else.

That's the skill most people are skipping: not which AI tool to use, but knowing which work still needs you.

One thing worth trying this week: pick one task you're still doing manually out of habit, not judgment. Hand it to an agent fully. See what breaks. That failure point tells you exactly where to stay close — everywhere else, you've bought back time to think.

See the craziest moments for yourself:

• → Search #CodeInTheWild on X

• → Follow @EvenRealities

• → Watch developers turn the world into their terminal

Coding is leaving the desk. You already can, too.

Even G2 Terminal Mode | #CodeInTheWild

xAI Launches Grok Imagine Video 1.5

Run Your Influence Campaigns

Most brands lose influencer deals not from bad strategy, but from slow follow-ups, scattered conversations, and no system behind the chaos.

Creally is the AI platform for creator partnerships. Your agents handle influencer discovery, personalized outreach, negotiations, and deal tracking end-to-end, while your team stays focused on decisions, not operations.

One client cut daily creator search from 5 hours to under 1. Another scaled to 25x more campaigns without a single new hire. The brands winning at influencer marketing in 2026 aren't bigger.

They're running a better system. Creally. One workflow. Every creator deal, handled.

What’s Happening AI today

1. ChatGPT's market share just fell below 50% for the first time — Gemini hit 27.7%, Claude hit 10.3%: Sensor Tower's State of AI Report dropped today with a number nobody at OpenAI wanted to see: ChatGPT's global market share in AI assistants has fallen below 50% for the first time since its launch. Gemini has climbed to 27.7% — driven largely by its integration into Android and the iOS 27 multi-AI Extensions launch. Claude sits at 10.3%, up from roughly 6% six months ago. The market is no longer a monoculture. For product teams choosing which model to build on: the platform diversification happening at the consumer level is now happening at the enterprise level too.

2. Sam Altman, Dario Amodei, and Demis Hassabis all walked into a G7 summit — and it was not a joke: For the first time in history, the CEOs of all three leading AI labs appeared together before world leaders at the G7 summit in France. The joint appearance signals that AI governance has moved from a technical policy conversation to a geopolitical one — on the same agenda as nuclear security, trade, and climate. The three were there to present a unified framework for frontier model safety governance. Whether that framework has teeth will depend on what governments do with it in the next six months.

3. Google released Android 17 with Gemini Omni and Lyria 3 — and it is laying the groundwork for something much bigger: Android 17 shipped today with Gemini Omni built in — multimodal video generation, Lyria 3 music creation, and AudioLM real-time translation, all native on device. The release is explicitly framed as groundwork for "Gemini Intelligence" — a fully agentic layer that Google plans to deploy later in 2026. For any team building on Android or Google's ecosystem: the platform is being rebuilt around AI agency, not AI assistance. The two are very different things.

Turn anything complicated into something anyone can act on

Prompt: You are a world-class explanation architect — someone who takes things that are genuinely hard to understand and rebuilds them from the ground up until they are impossible to misread. You do not simplify by removing important ideas. You simplify by finding better ways to carry them.

I am going to give you something complex. Your job is not to summarise it. Your job is to rebuild it so clearly that a smart person with no background in this topic could read it once and immediately know what matters, why it matters, and what to do about it.

Here is what I need explained: [paste your complex text, research paper, contract, technical spec, or concept here].

My audience: [describe who will read this — their role, their knowledge level, and what they need to walk away knowing].

The part I most want to nail: [name the specific section, concept, or implication you want the most clarity on].

Structure your response in three sections — and do not skip any of them:

1. Key Points — Number them. Lead with the most important one, not the first one chronologically. Each point should be one sentence that stands alone. If someone only reads this section, they should have the full picture.

2. Simple Explanations — One paragraph per key point. Write as if you are explaining to a sharp colleague who is completely new to this topic. No jargon. No hedge words like "somewhat" or "relatively." Use analogies where they genuinely help — not as decoration. If a concept requires an analogy to land, give one. If it does not, do not force it.

3. Practical Implications — Bullet points only. Each bullet answers: "So what do I actually do with this?" Not "this could be useful for..." — specific, actionable, immediate. If there is nothing practical to do with a point, that tells you something important about whether it belongs in the Key Points at all.

Final rule: if you catch yourself using a word the average reader would need to look up, replace it. Clarity is not a style choice. It is the whole point.

AI news highlights

• OpenAI introduced Deployment Simulation on June 16 — replays past conversations through a new model before release to grade completions before shipping. A new standard for model evaluation.
• Jeff Bezos invested in CuspAI — applying generative AI to material sciences — $400M round at $2.6B valuation, Cambridge UK-based. AI is now entering chemistry and physics labs.
• 60% of US consumers say "AI" in a brand's messaging is a turnoff — WordPress survey, 2026. 86% check the original source after seeing an AI summary. The word is losing its power.
• A security researcher used Claude and MCP to fuzz Google's 1,500+ APIs — earned $500,000 in bug bounties over three months. The agentic security era is here.
• Morgan Stanley: Global AI-linked debt on track to nearly double to $570B in 2026 — AI bonds are now the largest investment-grade sector. The credit market has a new category.
• Stanford graduates walked out on Google CEO Sundar Pichai's commencement speech — third consecutive year students protested Project Nimbus and ICE AI contracts. The talent pipeline is fracturing.
• Wing hit 1 million commercial drone deliveries with Walmart — expanding to seven more US cities. AI-powered logistics just crossed its first major commercial mileston

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That’s a Wrap

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