$20K AI Agent vs. You—Who Wins?

AI Hires Are Here... and They Ain’t Cheap

March 06, 2025

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OpenAI is rolling out high-end AI agents with prices that rival senior employee salaries—ranging from $2K to $20K a month. These agents will cater to business pros, software devs, and PhD-level researchers. SoftBank has already pledged $3B toward them for 2025. With AI joining the workforce, OpenAI is betting big on companies paying top dollar for automated expertise

Microsoft just dropped Dragon Copilot, a voice AI assistant for healthcare pros that mixes killer dictation skills with ambient listening and generative AI. It’s all about cutting admin headaches, speeding up docs, and making patient care smoother. Clinicians are already saving time, feeling less burnt out, and patients are digging the better experience. Rolling out in the U.S. and Canada this May, with more countries to follow. Basically, it’s AI doing the boring stuff so docs can focus on what matters.

Google just dropped AI Mode, an experimental search upgrade that turns queries into a full-on convo powered by Gemini 2.0. It digs deeper using a "query fan-out" technique, pulling info from multiple sources at once. Users can keep the chat going with follow-ups, making search feel way smarter. AI Overviews also got a boost, now handling tougher topics like coding and math. Plus, teens can now access AI Overviews, and no sign-in is required. Google’s clearly stepping up its AI game as the search wars heat up!

Amazon is cooking up its own advanced AI model under the Nova brand, aiming for a June release. The goal? A "hybrid reasoning" system that balances quick responses with deep problem-solving—while staying cheaper than the competition. Despite its $8B investment in Anthropic, Amazon wants a top-five spot in AI, especially in coding and math. With this and an AI-powered Alexa+ on the way, the retail giant is making big moves in the AI race.

Google DeepMind just launched AlphaGeometry2, a new AI that aced 84% of International Math Olympiad geometry problems—outperforming the average gold medalist. It combines a Gemini model with a symbolic engine to handle complex proofs, solving 42 out of 50 problems. Trained on 300M+ synthetic theorems, it’s a huge leap from its predecessor. This breakthrough could seriously boost progress in math-heavy fields like physics. Pretty impressive!

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That’s it. See you on the next open. And do me a favor and move this email to your “Primary” inbox - trust me, it’ll be worth it.

- Charlie “Your AI Assistant” Patel