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- #41: Deep Think Unlocks New Powers - But 40 Professions May Not Survive
#41: Deep Think Unlocks New Powers - But 40 Professions May Not Survive
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In today’s Agent Pulse:
📢 Top Headlines
⚔️ Agent Arena
✨ Featured Agents
📡 Agent Signals
🎓 Free courses
📚 Must-Read Papers
🗺️ Landscape Map
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📢 TOP Headlines
Deep Think Now Live in Gemini App for AI Ultra Subscribers
Google has just enabled Deep Think in the Gemini app exclusively for its AI Ultra subscribers ($249/month). This is the same reasoning engine that earned a gold-medal-level score at the 2025 IMO, now tuned for daily use.
What Makes It Worth Noting:
Extended reasoning in-app: Builds on Gemini 2.5 Pro, letting users toggle Deep Think mode for multi-step planning, longer responses, and tool use (e.g., code execution, Google Search).
Parallel “thinking threads”: The model generates and evaluates multiple ideas simultaneously before converging - enabling richer outputs for strategy, coding, or research tasks.
Empirical success: Internally, it ranks top on benchmarks like LiveCodeBench V6 and Humanity's Last Exam. Public rollout introduces a practical high-reasoning mode beyond simple summaries.
What It Signals for Builders:
Reasoning models are now built into client apps, not just APIs. Consumers paying for functionality get behavior previously accessible only via developer tools.
Expect longer workflows and higher-quality output in agency markets - law, consulting, education, where nuanced answers matter more than speed.
UI ergonomics matter: if Deep Think stays siloed in Ultra tier or lacks toggle flexibility, users will head to more versatile platforms (e.g. Claude, OpenAI).
Which 40 Jobs Are Structurally At Risk from AI Agents
Microsoft Research’s latest career-risk model identified 40 jobs most exposed to agent-led disruption - primarily roles tied to writing, analysis, communication, and repetitive digital workflows.
At-Risk Roles Include:
Copywriters, translators, editors, technical writers
Market research analysts, HR specialists, legal assistants
Customer service reps, sales agents, data scientists, analysts
Why This Is Crucial:
Tasks that are structured, repeatable, and text-based are the first to feel pressure from agents. If your tool automates any part of report generation, user insight, or content workflow - it targets this set.
Data science jobs now rank among high-risk roles - a big shift signaling that AI can optimize or even replace many technical workflows previously considered secure.
Takeaways:
If you build tools for knowledge workers, focus on trust, revision layers, and human-in-the-loop workflows, not full automation.
Product-roadmaps must prioritize explainability, auditor visibility, and error fallback, especially in industries like legal, finance, or research.
The most resilient roles will be those that integrate emotion, physical context, or complex judgment, not just cognitive processing.
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⚔️ AArena: All-in-One AI Workspace
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TOP 5 AI (Aug 3):
ChatGPT-4o
Gemma 3 4b
Grok 3 Fast
Llama 3.3 70B Instruct
Kimi K@ Instruct
✨ Featured Agents
TeammatesAI: Autonomous AI Teammates
OraczenAI: Build agentic systems
TensorStax: Autonomous AI Agents for Data Engineering
TheLibrarian.io: WhatsApp AI Personal Assistant
Agentverse: Search and Discover AI Agents
📡 TOP Agent Signals
GLM-4.5 (Zhipu): A modular, open-source model tailored for agent workflows, supporting multi-step reasoning and integration with external tools.
Langflow + n8n Integration: Bluebash now bridges Langflow’s conversational AI agents with n8n’s workflow automation, enabling end-to-end processes like CRM integration and AI-driven alerts.
AutoGen’s Automated Coding: AutoGen’s planner-solver architecture automates Python coding, API generation, and documentation, reducing development time by 40% in early trials.
Matador’s Service Autopilot: Dealerships using this AI agent saw a 13% increase in answered follow-ups and 88% appointment attendance via automated scheduling and reminders.
Implevista’s RPA + AI: Combining robotic process automation with AI for invoice processing and account reconciliation reduces administrative errors by 30%.
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🎓 FREE AI Courses
Anthropic:
AI Fluence Course, designed for everyday users of AI.
Google: Introduction to LLM
BeeAI: Agent Communication Protocol
HuggingFace: Model Context Protocol (MCP)
Microsoft: Generative AI for Beginners
OpenAI: Advanced Prompt Engineering

📚 Must Read Papers
AWS: Agentic AI frameworks (Doc)
KPMG: AI Quarterly Pulse Survey: Q2 2025 (Doc)
Stanford University: Future of Work with AI Agents (Doc)
Google: Guide for using AI at work (Doc)
Google: An Introduction to AI Agent Security (Doc)
Thomson Reuters: Agentic AI 101 (Doc)
OpenAI: A Practical Guide to building Agents (Doc)
BCG: AI at Work (Doc)
ServiceNow: Enterprise AI Maturity Index 2025 (Doc)
IBM: Agentic AI in Financial Services (Doc)
Capgemini: Rise of Agentic AI (Doc)

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