WSJ What’s News — "AI Agents Like OpenClaw Are Here. How Can You Use Them?"

Date: March 29, 2026
Host: Alex Osola
Guest: Isabel Bousquet, Tech Reporter

Episode Overview

This episode of What’s News Sunday explores the rapid evolution and growing impact of agentic AI—autonomous software tools capable of executing complex tasks for users, such as customer support, making reservations, and automating workflow. With the advent of platforms like OpenClaw, AI agents are on the brink of transforming business and daily life, but these advances come with new security, productivity, and business model risks and questions. Wall Street Journal tech reporter Isabel Bousquet joins Alex Osola to break down what agentic AI really means, how it’s being used, the risks involved, and what it could signal for the future of SaaS and the workforce.

Key Discussion Points & Insights

Defining "Agentic AI" and AI Agents

[01:29]

• The term “agent” is "overhyped, overused," and lacks a common industry definition.
• At its base: "An agent is an AI that can do something for you."
• Becomes "agentic" when it’s able to execute external actions: "Make this restaurant reservation for me. Book this doctor’s appointment for me. Buy this dress for me."
  — Isabel Bousquet [01:37]

Current Use Cases for AI Agents

[02:07]

• Two main areas:
  • Coding space: Widespread adoption by engineers with various AI agents (Claude, OpenAI Codex, Cursor, Replit, etc.)
  • Customer service: Next-gen phone trees; AI agents handle queries about orders, loyalty cards, etc.
• "Everyone has an AI coding agent these days. Engineers are using this a lot."
  — Isabel Bousquet [02:17]

How AI Agents Affect Company Economics

[02:55]

• Cost-benefit debate: Companies are tracking "token" use (how much AI use costs vs. engineer salaries).
• Paradox: Sometimes an engineer’s AI usage costs more than their salary—but the productivity gain can be 10x–50x.
• "Although they’re costing two times an engineer’s salary, they’re delivering like 10x of what an engineer can do."
  — Isabel Bousquet [03:34]

What is OpenClaw?

[04:12]

• OpenClaw: Open-source orchestration framework, recently acquired by OpenAI.
• Promise: Functions as a true personal assistant by connecting to everything (logins, accounts, data), automating highly complex workflows.
• Risks: Major security concerns; stories of OpenClaw deleting emails or files, and accessing sensitive data.
• "It’s very insecure, but the potential is massive… these agents are doing all these complicated things. You can set it to do a task and then walk away."
  — Isabel Bousquet [04:33]

Industry Perspective: Nvidia’s CEO

[05:10]

• "Every company in the world today needs to have an Open Claw strategy, an Agentix system strategy. This is the new computer."
  — Jensen Huang, Nvidia CEO [05:12]

The Next Generation Promise for Business

[05:23]

• Future vision: Knowledge workers may interact with only their agent; all backend handled by AI.
• "Knowledge workers will engage with fewer and fewer interfaces… The agent handles the back end of everything and you just have a much simpler, cleaner experience."
  — Isabel Bousquet [05:39]

Risks and Unknowns with Agentic AI

Autonomy & Error

[06:35]

• "The idea that an agent can take action is great, but also not great for businesses because an AI by its nature can hallucinate, it can get things wrong."
  — Isabel Bousquet [06:41]
• Examples of risk: Over-refunding customers, making unauthorized purchases, “agentic shopping” gone wrong.

Human Oversight Still Needed

• "A lot of companies still want to have a human in the loop. They want the agent to do a lot of the legwork and then the human employee can sign off on that."
  — Isabel Bousquet [07:08]

Security & Liability

• Can agents be hacked to exploit personal or financial information?
• Emerging questions: "If you’re a credit card company... are you liable? Is the AI liable? How responsible are people for the actions their agents take?"
  — Isabel Bousquet [07:38]

Parallels with Early Internet Adoption

• Referenced early fears of e-commerce security: "It sort of harkens back to the early days of the Internet when people were afraid to put their credit card information to buy anything online."
  — Isabel Bousquet [07:56]

Are AI Agents (Finally) Delivering Business Returns?

[08:04]

• Despite massive investment, direct financial return has been hard to prove.
• Companies are increasingly focusing on efficiency or "revenue per employee" over explicit ROI.
• "I do think revenue per employee is going up… But this is something that's just very hard to measure."
  — Isabel Bousquet [08:54]
• Most companies have shifted thinking: "This is a necessary technology... Even if they can’t prove it out with a specific number value, that doesn't make the investment not worth it."
  — Isabel Bousquet [09:19]

AI Agents and the “SaaS Apocalypse”

[09:32]

• The “SaaS apocalypse”: The fear that traditional software companies will be disrupted by advanced AI agents, especially in coding tools.
• "The more nimble startups with super cutting edge AI agents we see, the more pressure it does put on those companies."
  — Isabel Bousquet [10:06]
• Established SaaS firms (e.g., Salesforce) are investing heavily in their own AI agents—it’s now a race to develop the best agentic tools.
• "It’s just a question of how fast can those companies move and how good are the agents they're building compared to the AI native startups and the agents they're building."
  — Isabel Bousquet [10:35]

Notable Quotes & Moments

• Defining agentic action: "Anything where it's going out into the world and executing some behavior on your behalf—that’s the point at which it becomes an agent."
  — Isabel Bousquet [01:51]

• On OpenClaw’s risk and power: "You have to give it access to everything, which is a huge security concern… but the potential is massive."
  — Isabel Bousquet [04:18]

• On business expectations: "It’s hard for them to point to a clear financial return… and have just accepted that this is a necessary technology."
  — Isabel Bousquet [08:27]

• On SaaS disruption: "With this great new coding agent, I don't need those expensive legacy providers."
  — Isabel Bousquet [09:58]

Timeline of Key Segments

• 01:29 — What is an AI agent? Industry definitions and hype.
• 02:07 — Two primary use cases emerging: coding and customer service.
• 02:55 — How companies make money/justify cost from agents.
• 04:12 — What is OpenClaw, and why is it significant?
• 05:10 — Nvidia CEO’s bold call for every company to have an "Open Claw strategy."
• 05:23 — What might work look like in an agentic AI world?
• 06:35 — Security risks, business risks, and the need for human oversight.
• 08:04 — Are agents generating real business ROI?
• 09:32 — The “SaaS apocalypse”: threat to legacy software firms.

Episode Takeaways

• Agentic AI is moving from hype to practical business deployment but brings significant new risks, especially security and liability.
• OpenClaw exemplifies the coming shift towards all-encompassing AI assistants, but raises worries about privacy and trust.
• Direct financial return is still murky, but companies see improved efficiency—and accept AI as essential, even if hard to measure.
• Traditional software companies face new existential pressures from nimble, AI-native startups.

For those watching the evolution of AI in business, this episode provides a rich, direct, and slightly wary look at the promises and perils of the coming era of AI agents.