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Thursday’s issue is in partnership with…
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🔓 Thursday’s AI Report:
🛑 AI experts reject AI advancement?
🔏 In partnership with Incogni
🕵️ UK drops OpenAI-Microsoft probe
🤑 $20K for OpenAI AI agents?
💼 In partnership with Innovating with AI
⚙️ Trending AI Tools
🏗️ Practical AI Applications
📑 Recommended Resources
Read Time: 5 minutes
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📈 AI STOCK TRACKER
After yesterday’s brief downturn, tech stocks experienced gains, with the Nasdaq Composite rising 1.5%, driven by President Trump’s decision to delay tariffs on Mexican and Canadian imports by a month, fostering optimism about trade relations.
LATEST IN AI
🚨 Our Report — Three highly influential figures in the US AI industry—Eric Schmidt (ex-Google CEO), Alexandr Wang (Scale AI CEO), and Dan Hendrycks (Director of the Center for AI Safety)—have published a policy paper, titled “Superintelligence Strategy,” arguing that the US should not pursue a ‘Manhattan Project’-style approach (a concentrated, all-out effort, similar to one the US took to develop the worlds first atomic bomb in the ‘40s) to developing Artificial General Intelligence (AGI), suggesting they pursue a significantly different strategy instead.
🔓 Key Points:
The US government announced an initiative to aggressively pursue AGI to achieve global dominance and compete with China, but Schmidt et al. think this will trigger an extreme retaliation (possibly a cyber attack).
They believe other nations (especially China) would view this ‘Manhattan Project’ approach as hostile—likening it to global powers seeking dominance over nuclear weapons—which could trigger an AI arms race.
Instead of “winning the AGI race”, they introduced a new concept—Mutual Assured AI Malfunction—a defensive strategy whereby the US stops others from creating AGI and proactively disables threatening AI.
🔐 Relevance — This paper demonstrates a significant shift in how AI experts, policy, and industry leaders are seeing the advancement of AI, as concerns grow over the risks of AGI—Schmidt, in particular, has previously been very vocal about the need for the US to aggressively develop advanced AI to compete with China, especially after DeepSeek released R1—so this radically different change in stance will undoubtedly carry a lot of clout with the US government.
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🚨 Our Report — The UK competition watchdog—Competition and Markets Authority (CMA)—has dropped its investigation into the relationship between Microsoft and OpenAI after raising concerns in 2023 that the partnership could “potentially impact competition in the emerging market.”
🔓 Key Points:
The CMA opened its investigation after Microsoft heavily influenced OpenAI’s decision to rehire recently fired CEO Sam Altman, concerned that it had increased its control over OpenAI’s commercial policy.
However, it concluded that while Microsoft "exerts a high level of influence" over OpenAI, the “change of control has not happened,” and the partnership remains the same, so it “doesn’t qualify for review."
It also suggested that recent developments have actually weakened Microsoft's influence—they recently renegotiated their cloud computing agreement, meaning Microsoft is no longer OpenAI’s exclusive cloud provider.
🔐 Relevance — Critics have suggested that the CMA’s rather sudden decision to dismiss the investigation (after reviewing the case for over a year) comes as the UK government recently instructed its regulators to find ways to stimulate economic growth, which coincided with the abrupt firing of the existing CMA chair—Marcus Bokkerink (who initiated the OpenAI/Microsoft investigation)—and subsequent hiring of ex-head of UK Amazon, Doug Gurr, who is likely to bring a more commercial angle to decisions.
According to reports, OpenAI is planning to reveal a new line of “specialized,” professional AI agents targeted at businesses that want to scale efficiency, which will cost around $20,000 p/m.
These agents will work independently, be able to handle complex, high-value tasks—like software development and advanced research—with minimum human input, and even take over entire workflows.
OpenAI is likely doing this to bolster revenue as it struggles to recuperate the $5B loss it suffered last year, although the hefty $$$ tag could be an issue, as the likes of DeepSeek launch much cheaper models.
TOGETHER WITH INNOVATING WITH AI
The AI consulting market is about to grow by a factor of 8X – from $6.9B to $54.7B in 2032.
But how does an AI enthusiast become an AI consultant?
How well you answer that question makes the difference between just “having AI ideas” and being handsomely compensated for your contribution to an organization’s AI transformation.
Thankfully, you don’t have to go it alone – our friends at Innovating with AI have welcomed 600 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.
Some of the highlights current students are excited about:
The tools and frameworks to find clients and deliver top-notch services
A 6-month plan to build a 6-figure AI consulting business
Students getting their first AI client in as little as 3 days
And as a reader of The AI Report, you get early access to the next enrollment cycle.
TRENDING AI TOOLS
Frameright resizes images for every screen and container with AI
PrisMix is an AI social media manager
PRACTICAL AI
Prompt InspirationAfter typing this prompt, you will get recommendations on how to manage and negotiate contracts with your suppliers and partners. P.S. Use the Prompt Engineer GPT by The AI Report to 10x your prompts. | Provide recommendations for managing and negotiating contracts with suppliers and partners |
LIVE Q&A
❓ Who: Jake George. Jake is an AI agent expert and founder of Agentic Brain, which builds custom AI agents that understand your business and are trained on cutting-edge data and tactics so you can automate your pipeline without increasing headcount.
⌚ When: Friday, 7th March, at 11 AM EST
🎓 Where: Skool
🙋♂️ What: Tomorrow, and every Friday, AI agent expert Jake George will be going Live on Skool to answer any question you have about AI agents.
‼️For more information about this and our future Live AI Q&A sessions, visit us at Skool.
RECOMMENDED RESOURCES
STARTUPS
Name: Deepgram
Value: $202M — $333M
Funding raised: $85.9M (Series B)
Deepgram is an AI-powered speech recognition platform that can understand, analyze, and accurately transcribe large volumes of audio and video content in multiple languages and dialects—even in noisy and poor-quality audio environments.
PODCASTS
This podcast discusses whether the arrival of the new AI voice model, Sesame—which is capable of having natural conversations—could be a turning point for AI assistants or if people will resist talking to machines.
QUICK HITS
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Until next time, Martin, Liam, and Amanda.
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