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Tuesday, May 5, 2026

5 stories · 3 min read

Yesterday we talked about who's going to debug 100 AI agents when they break. Today, we're learning who's going to implement them in the first place. Spoiler: it's going to be a lot more people than anyone thinks.

01

OpenAI and PwC team up to rebuild the CFO's office

OpenAI announced a partnership with consulting giant PwC to help enterprises deploy AI agents in finance departments. The collaboration targets core CFO functions: automating workflows, improving forecasting, and strengthening financial controls. PwC will provide the implementation expertise while OpenAI supplies the AI agent technology.

Why it matters: This is OpenAI's play for the most risk-averse part of any company. If AI agents can handle your money, they can handle anything. Finance departments that nail this will have a massive competitive advantage in planning and decision speed.

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02

Box CEO Aaron Levie predicts an AI implementation job boom

Box CEO Aaron Levie laid out why implementing AI agents in large enterprises will create more jobs than it eliminates. Moving from simple chat interfaces to agents that handle real workflows requires massive organizational changes. Companies will need new consulting firms, field engineers from AI vendors, and entirely new "agent engineering" roles just to make the technology work inside existing systems.

Why it matters: Every enterprise rushing to "replace workers with AI" is about to discover they need to hire different workers to manage the AI. The complexity isn't going away, it's just moving to a new layer.

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03

Y Combinator CEO Garry Tan explains his open source AI strategy

Y Combinator CEO Garry Tan shared why he runs his own AI infrastructure instead of relying on hosted services. His reasoning: as AI gets more powerful, owning your prompts and data becomes the difference between thinking for yourself and thinking through someone else's system. He calls it "real freedom" in the age of AI.

Why it matters: The YC portfolio companies are watching their CEO's tech choices closely. If the startup accelerator that funded Airbnb and Stripe thinks AI independence matters this much, expect a wave of startups building their own AI stacks.

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04

Product advisor Peter Yang tests Hermes vs OpenClaw

Product advisor Peter Yang downloaded Hermes to compare it with OpenClaw, asking his followers for honest opinions on the differences between the two AI coding assistants.

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05

Replit CEO Amjad Masad misses all-night coding sessions

Replit CEO Amjad Masad posted about missing the days of staying up for days straight while programming.

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