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Friday’s AI Report
• 1. ⏳ ChatGPT-5 launch: Days away?
• 2. 🔏 Protect your information online with Incogni
• 3. 🌍 How AI slashed this company’s operational costs by 65%
• 4. ✅ Schedule your AI audit with Upscaile
• 5. ⚙️ Trending AI tools
• 6. 🧩 Google re-invents AI search…again
• 7. 🏢 Microsoft CEO finally addresses job cuts
• 8. 📑 Recommended resources
Read Time: 5 minutes
🔔 This weeks AI Report Podcast episode is live: Listen to Liam chat to Andrew DiLullo—founder of AdCrunch—about building high-converting UGC ads using AI.
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After months of speculation, cryptic hints, rumors, and delays, OpenAI is (reportedly) set to release its most powerful model to date—GPT-5—in early August, after CEO Sam Altman promised, earlier this month, that it would be released "sometime this summer.”
GPT-5 is expected to come with “mini” and “nano” versions which will have API access, marking OpenAI’s first “open-source” model since 2019—expanding OpenAI’s suite of tools for developers and enterprises.
Early testers confirmed that GPT-5 will combine text, image, audio, and video features into one interface, have advanced reasoning, coding, and problem-solving abilities, and will be able to process 10 books-worth of text.
Altman established that GPT-5’s delay was due to ongoing safety tests and refinements, and said releasing models used to be “much clearer" but "stability and ethical alignment” is “as crucial as performance."
This safety-first approach to new model releases seems to align with the remarkably subdued build-up to the launch of GPT-5—especially considering it’s deemed to be OpenAI’s “most powerful model to date.” Any information about the new model has either come from interviews or social media posts rather than press events and flashy ad campaigns: Does this mean OpenAI really is taking safety seriously, or could this just be a retaliation over comments made by former key OpenAI employees who slammed the start-up for prioritizing the launch of “shiny new products” over safety protocols?
Data brokers sell personal info—often for less than a dollar.
What’s publicly available:
Current & past addresses
Mobile numbers (even outdated ones)
Family connections
Employment history
Property records
Court documents
This information is bundled and sold to anyone willing to pay.
Even ChatGPT can return surprising details when asked about someone with an online presence.
This isn’t paranoia—it’s probability:
1 in 4 Americans experience identity theft
$1,100 average loss per incident
Over 200 hours to recover
Manually opting out of data brokers is exhausting—195+ forms, 30+ hours, and records often reappear.
Incogni automates the process:
✅ Contacts data brokers
✅ Forces data deletion
✅ Monitors & re-removes data
Stay protected: Use code AIREPORT for 58% off.
AT&T—a multinational telecommunications company—had problems managing 40M+ customer service calls each day.
They were manually transcribing calls and categorizing them for analysis, which was time-consuming, labor-intensive, and costly.
They developed an AI model, powered by ChatGPT, to handle basic customer interactions.
By using AI to address customer issues, operational costs fell by 65% and call analysis dropped from 15hrs to 5hrs p/d.
Most businesses waste time and budget on inefficient processes and repetitive tasks.
This is because most teams don’t know where to start with AI.
Upscaile’s AI Automation Audit identifies exactly where and how AI can drive the most value for your business.
In less than 5 weeks, Upscaile’s AI Audit will deliver:
✅ Actionable workflow improvements
✅ A roadmap to prioritize high-value opportunities
✅ An ROI analysis to forecast cost savings and productivity gains
Our AI audits have helped over 100 enterprises save 80,000+ hours of manual work, without the need to hire additional staff.
Xavier generates strategic consulting decks in under 1 minute with AI
TheySaid uses AI to create surveys, interviews, user tests, and polls
NewHero AI is an AI photography and thumbnail generator
Google has launched a new AI-powered search feature that “groups links together in helpful ways” (called “Web Guide”) to those who have opted into its testing environment—Search Labs.
Instead of presenting search results in a list, Web Guide will present several clusters of links, with each cluster focusing on a different part of the search query so users can delve deeper into topics.
For example, a search query about “how to travel solo in Japan” might return clusters of links for related areas like transport, accommodation, etiquette, restaurant recommendations, and tourist attractions.
Microsoft laid off over 9,000 employees earlier this month (bringing the total number of layoffs to 15,000 this year), and CEO Satya Nadella has finally addressed it in a memo that was sent to over 200,000 of his staff.
In it, he addressed “the recent job eliminations” as something that was “weighing heavily” on him (and no doubt his employees), but assured them that these decisions were “among the most difficult” he had to make.
But he also couldn’t confirm that there wouldn’t be more coming, as Microsoft transitions towards a “growth culture” that prioritizes AI, which “might feel messy at times, but transformation always is.”
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How To Build High-Converting UGC Ads Using AI Tools
This week on The AI Report Podcast, Liam is joined by Andrew DiLullo—performance marketer and founder of AdCrunch Digital—to unpack the future of AI-generated ad creative.
Until next time, Martin, Liam, and Amanda.
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