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We believe you donāt need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you wonāt find anywhere else:
⢠1. š Protect your personal data with Incogni
⢠2. š° Leaks hint at a massive OpenAIāMicrosoft payout
⢠3. šĀ How AI made counting inventory eight times faster
⢠4. šøĀ Google raises India data hub plan above $15B
⢠5. š AIās full potential for copywriting with Orbit Flows
⢠6. šļø Anthropic highlights political neutrality during bias
Read Time: 5 minutes
TOGETHER WITH INCOGNI
The BBC caught scam call center workers on hidden cameras as they laughed at the people they were tricking. One worker bragged about making $250k from victims.
The disturbing truth?
Scammers donāt pick phone numbers at random. They buy your data from brokers. Once your data is out there, itās not just calls. Itās phishing, impersonation, and identity theft.
Thatās why we recommend Incogni: They delete your info from the web, monitor and follow up automatically, and continue to erase data as new risks appear.Ā
Try Incogni here and get 55% off your subscription with code AIREPORT
Latest in AI
Leaked documents obtained by Ed Zitron show that OpenAI paid Microsoft $865.8M in revenue share during the first three quarters of 2025, up from $493.8M in 2024. The figures suggest OpenAIās revenue-sharing agreement with Microsoft, estimated at 20%, has scaled sharply alongside its revenue growth and compute usage.
OpenAIās revenue is projected to exceed $20B annualized by year-end, according to CEO Sam Altman, with leaked data implying at least $4.3B earned in the first three quarters of 2025.
Microsoftās share represents its cut from OpenAIās commercial products, including ChatGPT and API, though it also pays OpenAI royalties from Bing and Azure OpenAI Service revenues.
OpenAIās compute amounts have surged to roughly $8.65B in the same period, suggesting it may still be spending more on inference than it earns in revenue.
The leaks highlight the interdependence between OpenAI and Microsoft, raising questions about the sustainability of AI model economics. If OpenAIās inference continue to outpace revenue, it could reshape investor expectations across the AI sector. The data also signals how cloud partnerships may evolve as model providers seek more balanced cost structures and transparency in future deals.
Case Study
Starbucks, a global coffeehouse chain, faced stock visibility issues across many stores that caused waste, delays, and inconsistent experiences.
Manual inventory counts were slow and error-prone, forcing staff to spend valuable time in backrooms instead of serving customers efficiently.
Partnering with NomadGo, Starbucks deployed AI-powered automated counting using computer vision and 3D spatial intelligence to track stock accurately in real time.
The rollout enabled inventory checks eight times more frequently, improving replenishment speed and keeping ingredients available.
AI News Story
Google plans to expand its India data hub beyond $15B. The project will add data centers and cloud infrastructure to strengthen regional capacity and support AI-driven services.
The expansion positions India as a key infrastructure base for Googleās global AI and cloud operations, aligning with the governmentās efforts to attract large-scale data investments through policy incentives and renewable energy.
For India, this marks a shift from being a user market to a core infrastructure partner in the global AI economy, with expected ripple effects across energy, logistics, and digital regulation.
TOGETHER WITH ORBIT FLOWS
At the core, AI models arenāt true instruction followers. Theyāre pattern-matching entities.
The most powerful way to guide them is with context and examples.
But how do you build unique brand profiles AI wonāt forget? Or fit enough context into a chat?
You use Orbit Flows, the only multi-model AI system specifically built for professional copywriters.
Systemize and polish your drafts.
AI News Story
Anthropic released tests showing Claude Sonnet 4.5 scored 94% on political even-handedness as the Trump administration targets "woke AI" systems across the industry.
The announcement follows procurement rules from the White House. President Trump bars federal agencies from buying AI systems that "sacrifice truthfulness to ideological agendas,".
CEO Dario Amodei defended against what he called "inaccurate," noting training for political neutrality began in early 2024. The industry faces pressure as political bias complaints create federal procurement risks.
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