Instead of manually researching venture capital firms for fundraising, an AI agent can investigate dozens of targets simultaneously. It pulls data on fund size, relevant partners, investment theses, and recent social media activity, then organizes everything into a ready-to-use spreadsheet, saving weeks of analyst work.

Veteran investor Jason Lemkin argues that the quality of a top founder can be identified without a live conversation, based on asynchronous interactions like cold emails. Having closed multiple billion-dollar exits from such inbounds, he suggests AI could replicate and scale this initial screening process effectively.

The current human-to-agent interaction is a transition phase. The future involves companies deploying buyer agents that interact with seller agents to research, negotiate, and even commit to purchases, removing humans from most of the process.

The sales process will evolve from human-to-human or human-to-agent interactions to a world where company 'buyer agents' and 'seller agents' negotiate directly. Humans will only step in for the 'final mile' to provide the ultimate sign-off after the AI has conducted the research and presented the optimal solution.

By the end of 2026, recording every meeting and applying AI agents to transcribe, summarize, assign action items, and align with strategy will be table stakes. Hoffman argues that companies not doing this will be making excuses, akin to sticking with horse-drawn carriages in the age of the car.

Instead of walking into a pitch unprepared, Reid Hoffman advises founders to use large language models to pre-emptively critique their business idea. Prompting an AI to act as a skeptical VC helps founders anticipate tough questions and strengthen their narrative before meeting real investors.

Auren Hoffman's firm automates deal sourcing using AI agents that monitor for specific signals. A prime example is tracking when engineers at top tech companies change their LinkedIn profile to "Stealth," which acts as a trigger for immediate outreach about their new venture.

For its "Project Mercury," which aims to automate banking tasks, OpenAI is replacing human screeners with its own technology. The first step for applicants is a 20-minute interview with an AI chatbot that asks questions based on their resume, signaling a future where AI handles substantive parts of the hiring process.

Hoffman argues companies should immediately start recording all meetings and applying AI for summaries and action items. He sees this as a low-hanging fruit for productivity and predicts that within years, not having an AI in your meeting will be considered strange and inefficient.