Agents & Agentic Systems
15Autonomous AI agents, multi-agent architectures, and agentic workflows
Agents & Agentic Systems
The Product Impact Podcast on agentic AI: what works, what fails, and why the hype cycle is finally meeting reality.
The Position
Gartner projects that 40% of agentic AI projects will be canceled by 2027. The failure mode isn't agent capability — models are getting more capable, not less. The failure is architectural. Teams are deploying agents onto assumed process maps, into data layers that weren't designed for autonomous access, without the governance, orchestration, or human-interface scaffolding that agent reliability requires.
The Product Impact Podcast's position on agents:
- The bottleneck is architecture, not capability. Data navigation, governance, orchestration, and human handoff points are the four layers every agentic deployment needs.
- Pilots lie. Agent pilots succeed on clean process maps with motivated operators. Production agents hit exceptions and fail loudly — and trust in the entire program evaporates.
- Verification is the product. In a world where agents can take autonomous actions with real-world consequences, the ability to verify what they did and why is more valuable than the capability itself.
Articles
15
Playbook for Success Based on Dan Shipper's AI Predictions from Lenny's Podcast
Every CEO Will Post a Layoff Notice Like This. Here Is Why.
Context Models Are the Unlock to Consistent AI Value
The Agentic Era: What AI Agents Are, How They Change Work, and Why 94% of Organizations Aren't Ready
Anthropic Is No Longer a Model Company
Four Enterprise Agentic AI Failures Disclosed in Q1 as Gartner Warns 40% Cancellation Rate
Gartner Says 40% of Agentic AI Projects Will Fail. They're Underselling It.
Search is the use case that every business should be focused on solving with AI
The Playbook for AI Value Creation
The Free Ride Is Over: AI Economics Is Now Your Most Important Strategy Decision
How Tim Cook Is Leaving Apple Points to the Future of AI
97% of Executives Deployed AI Agents. Only 29% See ROI. The Gap Is the Story of 2026.
Microsoft's Copilot Problem Isn't Adoption. It's Coerced Adoption.
How to Measure AI Product Impact: The Bullseye Framework for Power, Speed, Impact, and Joy
Episodes: Agents & Agentic Systems
147: $490 Billion in AI Spend Is Delivering Nothing — Orchestration Is the Fix
29:214. The AI Agent Era Will Change How We Work
46:563. Win The AI Context Wars — Unlock The Value of Data [Juan Sequeda ]
52:011. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance
35:0052. Clawd Bot & Moltbook: When Demos Hijack Reality [Jim Love]
43:0151. Agents Will Disrupt Search & Shopping [Devi Parikh, CEO Yutori, ex Meta
42:5950. Designing AI for 2026: Trust, Cost, Orchestration [Yaddy Arroyo]
44:3245. Agentics: Rebuilding How We Think, Work, and Create with AI [Kwame Nyanning, Author of Agentic]
44:5542. HubSpot’s Head of AI on How AI Rewrites Customer Acquisition & Marketing
45:4541. Vibe Coding Will Disrupt Product — Base44’s Path to $80M Within 6 Months
41:2740. Secrets to Successful Agents: Atlassian’s Strategy for Success
47:3929. Trust is a Double-edged Sword: AI will Transform Services [Sarah Gold]
58:0316. Service design of AI: Designing the first Copilot w/ Microsoft & OpenAI [Yasemin Cenberoglu]
51:0815. Futures design: Build AI products that customers want & find valuable use cases [Arpy Dragffy - PH1]
46:26Featured People
Devi Parikh
CEO and co-founder of Yutori, an AI-powered online research platform. Previously a research scientist at Meta AI (FAIR) and a professor at Georgia Tech. Her research spans computer vision, natural language processing, and AI agents.
Jim Love
One of the most respected voices in technology news. Joined the Product Impact Podcast to unpack what viral AI agent demos actually prove, what they exaggerate, and why the hardest problems in AI aren't capability — they're control, security, and measurement.
Yaddy Arroyo
AI product strategist who joined the Product Impact Podcast to discuss the three forces reshaping AI product strategy in 2026: trust, cost, and orchestration.
Organizations
Anthropic
AI safety company and developer of the Claude family of large language models. Founded in 2021 by Dario and Daniela Amodei, former OpenAI executives. Anthropic launched Claude Managed Agents in April 2026, signaling a shift from model provider to platform company.
Gartner
Technology research and advisory firm. Gartner predicted that over 40% of enterprise agentic AI projects will be canceled by end of 2027 and that traditional search engine volume would drop 25% by 2026 due to AI chatbots.
Microsoft
Global technology company and developer of Microsoft 365 Copilot, the most widely deployed enterprise AI assistant with 15 million paid seats. Microsoft's March 2026 Copilot reorganization under Jacob Andreou signals a shift toward specialized AI products.