Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: Certifications, training, and a new Jobs Platform: OpenAI’s vision for making AI skills translate into real economic opportunity.
🔧 AI Tool Of The Week: Track how your brand shows up in AI answers with Profound’s visibility insights.
🌟 Creator Spotlight: Alex Barady explains why 95% of AI projects fail — and how leaders can avoid the same fate.
💬 Killer Marketing Prompt Of The Week: Feed ChatGPT your screenshots and get clean tables, visuals, and a presentation-ready report.
🎥 YouTube Resource Of The Week: Learn step-by-step techniques to make AI videos look indistinguishable from real footage.
Inside OpenAI’s New Plan to Expand Opportunity With AI
Millions Trained, Millions Of Jobs Promised
OpenAI shared a detailed plan this week for how it thinks AI could help create more economic opportunity. The idea comes down to three things: make AI more accessible, help people build skills with it, and then connect that talent with employers in a way that actually leads to jobs.
They point to the scale of usage today as proof that the entry point is already there. Hundreds of millions of people use ChatGPT each week, most of them for free. On top of that, more than two million people have already taken part in the OpenAI Academy, which shows that there is strong interest in learning how to use the technology in a structured way. But OpenAI argues that access and interest are not enough on their own. People need clear, credible paths to fluency if AI is going to make a real difference in work.
That is where certifications come in. OpenAI is rolling out training programs inside ChatGPT using a new Study mode. The courses range from basic workplace skills to more advanced capabilities like prompt engineering, and the goal is to certify ten million Americans by 2030. They are not doing it alone. Walmart has signed on as an early partner, along with BCG, Accenture, John Deere, Indeed, and state-level groups such as the Texas Association of Business and the Delaware governor’s office. These partnerships are meant to make sure the programs do not just live in tech circles but also reach local communities, schools, and businesses.
On top of training, OpenAI is building a Jobs Platform to connect certified workers with employers. They have said this will not just be for big corporations. It will also support small businesses and local governments that want to hire AI-literate talent. The hope is that people who put in the effort to learn these skills will have a clearer path into jobs, and employers will have a faster way to find workers who can apply AI in meaningful ways.
One of the biggest promises here is quality. OpenAI says it wants to avoid the pitfalls of past training programs, where badges did not translate into real opportunity. To that end, the certifications are being designed with input from employers, with scenario-based assessments that are meant to measure whether someone can actually do the work and not just memorize terms. If they get this right, the credential could carry more weight in hiring and pay decisions.
OpenAI also tied this effort to a broader national push. They referenced White House initiatives around AI literacy and workforce preparation, positioning their work as part of a larger movement to help workers keep pace with the rapid changes that AI is bringing.
In the end, the vision is straightforward: access leads to learning, learning leads to jobs, and jobs lead to broader opportunity. Whether it plays out that way will depend on execution. The certifications will need to be rigorous enough to matter, the Jobs Platform will need to prove useful to both workers and employers, and the partnerships will need to actually deliver on the ground.
💡 Sharing AI wins and fails will save marketers from repeating mistakes - Why marketers are openly sharing AI experiments to help others skip costly missteps.
🤝 Three Ways CMOs Can Empower Marketing Teams With A Human-First Approach To AI| - How leaders can introduce AI while keeping teams motivated and creative.
🎥 AI Video in B2B Marketing: Lessons from Canva, VEED, LinkedIn, and G2 Review Data - What the big players are doing with AI video and what the data says about its impact.
🖼️ What’s The Best AI Image Generator? - A side-by-side look at today’s top image tools and what sets them apart.
🧑💼 OpenAI unveils AI-powered hiring platform to rival LinkedIn, launching mid-2026 - The details on OpenAI’s new hiring platform and how it could reshape recruiting.
🎯 The Artificially Intelligent Enterprise - 95% of AI Pilots Are Failing, Or Are They?
💡 AI CIO - The Shrinking Window of Defense
☕ AI Tangle - Perplexity's $34.5B Chrome Bid, Sam Altman's Neuralink Rival & An xAI Co-Founder's Exit
📻 AI Confidential Podcast - What AI's Most Innovative Thinkers are Saying
See How AI Platforms Present Your Brand With Profound
Profound is a brand visibility tracker for AI-generated search, monitoring how your company appears (or doesn’t) in AI answer engines like ChatGPT, Gemini, Claude, Perplexity, and more
Why It’s Gaining Traction
Organisations recognise that traditional SEO no longer guarantees visibility when users turn to AI assistants for answers. Profound addresses that gap by tracking brand mentions, understanding AI citations, and offering actionable guidance to improve your presence across AI platforms
Key AI Features
Answer Engine Insights: Shows how often your brand appears in AI-generated answers, plus share-of-voice and citation data.
Agent Analytics: Measures when and how AI bots access your content and includes recommendations for optimisation.
Conversation Explorer: Reveals trending prompts and questions people ask AI about topics related to your brand.
Optimisation Guidance (Profound Copilot): Offers real-time tactics to help you boost visibility in AI results.
Enterprise Scaling & Support: Used by brands like Ramp, IBM, and Walmart, often delivering 2–7x increases in AI visibility.
ALEX BARADY - Why most AI projects fail and the 5-step change model leaders can use to actually make AI stick.
Turn Analytics Screenshots Into Visuals
This prompt helps you take raw screenshots of your social media analytics and turn them into clean tables, charts, and presentation-ready insights. Instead of manually copying numbers into Excel, you’ll feed ChatGPT your screenshots one by one, and it will build structured visuals and a final summary you can drop straight into a report or deck.
How to make it work:
Start the prompt → Paste in the Killer Marketing Prompt below to set ChatGPT up as your marketing data analyst.
Upload one screenshot at a time → ChatGPT will extract the numbers, turn them into a table, and then generate one chart.
Repeat for each screenshot → Keep feeding new screenshots until all your platforms are covered.
Combine at the end → Ask ChatGPT to merge everything into a single summary report with cross-platform insights and recommendations.
Polish for presentation → Provide brand colors or design preferences, and it will style the visuals for your slide deck.
Prompt:
You are my expert marketing data analyst.
I will provide screenshots of my social media analytics. Process them one screenshot at a time to build structured tables and clear visuals.
Here’s the context:
Platform(s): [insert, e.g. “LinkedIn + Instagram”]
Metrics to Capture: [insert, e.g. “impressions, reach, clicks, CTR, engagement rate”]
Date Range: [insert, e.g. “last 30 days vs previous 30 days”]
Goal/Focus: [insert, e.g. “see if engagement campaigns are outperforming traffic campaigns”]
Visual Style Needed: [insert, e.g. “bar charts + line graphs in brand colors #0033ff + #ff6600”]
Audience for Report: [insert, e.g. “CMO, sales team, internal marketing team”]
Instructions:
For each screenshot I upload, extract the raw data and present it as a clean, structured table.
From that table, generate one visual chart that best represents the key insights.
Wait for me to upload the next screenshot before continuing.
Repeat the process until all screenshots are processed.
Once all screenshots have been analyzed, combine the tables and visuals into a single summary report that includes:
A comparative view across platforms.
Top 3 key insights in plain language.
2–3 optimization recommendations linked to the trends.
Finally, output everything in a presentation-ready format I can copy into slides.Learn a full pipeline for hyper-real AI video
Watch a start-to-finish build: image prep, transitions, lip-sync, voice, and final polish.
Office Drama? What’s that?
