Last month, 48% of visitors to documentation sites across Mintlify were AI agents, not humans.

Claude Code, Cursor, and other coding agents are becoming the actual customers reading your docs. And they read everything.

This changes what good documentation means. Humans skim and forgive gaps. Agents methodically check every endpoint, read every guide, and compare you against alternatives with zero fatigue.

Your docs aren't just helping users anymore. They're your product's first interview with the machines deciding whether to recommend you.

That means: clear schema markup so agents can parse your content, real benchmarks instead of marketing fluff, open endpoints agents can actually test, and honest comparisons that emphasize strengths without hype.

Mintlify powers documentation for over 20,000 companies, reaching 100M+ people every year. We just raised a $45M Series B led by @a16z and @SalesforceVC to build the knowledge layer for the agent era.

Make Your Docs Agent-Ready

The AI arms race just shifted to a different arena.

On May 4th, Goldman Sachs and Blackstone announced a partnership with Anthropic to create a dedicated AI services company targeting mid-sized businesses. The same week, OpenAI finalized a $10 billion joint venture with private equity firms to accelerate AI deployment across companies that aren't yet equipped to do it themselves.

This is not another startup fundraise. This is the largest financial institutions on the planet putting their infrastructure, distribution networks, and client relationships behind getting AI embedded into businesses that weren't previously AI-first.

The implications for NYC — home to the densest concentration of mid-sized financial services, healthcare, real estate, and professional service firms in the country — are direct and immediate.

What's Actually Happening

Goldman and Blackstone aren't launching software products. They're launching a services layer.

The model: Anthropic provides the AI model. Goldman and Blackstone provide deployment expertise, enterprise relationships, and — critically — the compliance and risk frameworks that large institutions require before they'll touch anything. The target is mid-sized businesses, companies with 50 to 5,000 employees, that have been paralyzed by AI adoption uncertainty. They don't know which tools to trust. They don't know how to handle data privacy. They don't have IT teams sophisticated enough to build custom implementations.

OpenAI's simultaneous $10 billion PE joint venture is attacking the same problem from a different angle: get venture and private equity firms to be the distribution channel that pulls AI into their portfolio companies. Every company a PE firm owns becomes a potential deployment.

These two moves, happening simultaneously, signal a clear convergence: AI is no longer a software subscription. It's becoming an infrastructure contract — like outsourcing HR or IT, except what's being outsourced is cognitive capacity.

Who Wins in NYC

The industries that stand to benefit fastest are heavily concentrated in New York.

Financial services firms. Midmarket wealth managers, accounting firms, investment advisory groups — these organizations carry enormous documentation loads, compliance processes, and repetitive client communication. Goldman's credibility as a partner removes the compliance barrier that has stalled adoption at many of these firms.

Healthcare administrators and group practices. NYC's sprawling healthcare system runs on paperwork. Coding, billing, patient intake, scheduling, referral management — this is precisely the administrative overhead that AI services are built to absorb. Practices that adopt early will see meaningful per-output cost reductions.

Real estate companies. Property management firms, commercial brokers, co-op and condo management groups deal with a constant volume of documentation, communication, and regulatory reporting. An AI services layer with proper compliance guardrails is not hypothetical for them — it's a direct financial benefit.

Law firms. Mid-sized NYC law firms have watched AI with interest and anxiety in equal measure. With Goldman and Blackstone backing the deployment and implicitly providing the liability framework, adoption barriers drop considerably.

Who Needs to Be Paying Attention Right Now

Small business owners in NYC need to understand what this signals about their competitive landscape.

If you're a small accounting firm competing with a 200-person midmarket firm, that firm is about to sign an AI services contract that changes how fast it works and how much each output costs them. The efficiency gap between a well-resourced mid-sized business and a small business is about to widen — if small businesses don't move.

This isn't a reason to panic. It's a reason to act.

The same tools underlying Anthropic's enterprise offering — Claude, ChatGPT, Gemini — are available to individual business owners today, at a fraction of the price. The difference is that mid-sized firms will have them deployed, integrated, and optimized by teams with Goldman Sachs and Blackstone behind them. Small businesses can still close that gap, but the window is narrowing every month.

What NYC Knowledge Workers Need to Know

If you work at a mid-sized firm that ends up inside one of these AI services agreements, your job description is going to change. Not necessarily disappear — but change, faster than you might expect.

The firms writing the checks aren't deploying AI to eliminate headcount overnight. They're deploying it to eliminate bottlenecks: first drafts, document review, data aggregation, routine client communication. What remains is judgment, relationships, and complex decision-making.

Workers who adapt — who learn to direct AI tools rather than compete with them — will be more valuable. Those who resist will find their roles compressed.

This isn't speculation. It's what happened in every prior wave of business technology, from spreadsheets to CRM systems to cloud software. The difference this time is the speed.

What to Do This Week

For NYC small business owners:

Identify your three most repetitive tasks. Document drafting, email responses, intake forms, scheduling, social media copy, data entry — whatever takes hours and doesn't require your judgment call. These are your first AI targets.

Run a real test this week. Not a toy prompt. Take an actual document, email thread, or task from your business and run it through Claude or ChatGPT. Evaluate the output honestly. This is the only way to understand what these tools actually do at your level of complexity.

Watch your category. If a competitor in your space announces an AI partnership, starts producing dramatically more content, or turns around quotes and proposals twice as fast — that's your signal. Don't wait for the trend line to hit you.

Don't wait for the enterprise-grade version. The Goldman/Blackstone/Anthropic package is for companies with 50-plus employees and six-figure service contracts. You don't need that. You need to build the daily habit of using AI tools while they're still accessible, affordable, and before your competitors treat them as table stakes.

For NYC workers in professional services:

Identify your job's AI exposure honestly. If the bulk of your billable hours are spent on tasks AI can perform — document review, first drafts, data aggregation — that's your risk zone. Name it clearly.

Develop the skill of working with AI effectively. Understanding how to direct an AI system toward complex, nuanced outputs is a real, learnable skill that is already differentiating workers in law, finance, and consulting. It's not difficult to build. But you have to start.

Get ahead of your firm's adoption curve. Volunteer for pilot programs. Be the person who understands how the new tools work before the rollout becomes mandatory. That knowledge has institutional value, and it positions you as a leader rather than someone being managed through a change.

The Bottom Line

When Goldman Sachs and Blackstone point their distribution infrastructure at a technology category, it's not a signal that the technology is experimental. It's a signal that it's real, scalable, and about to become standard operating procedure.

For New York's business community — the densest concentration of professional services in the world — this is the moment to treat AI not as a curiosity, but as a competitive operating factor.

The firms that get ahead of this curve will look very different in 24 months from the ones still watching from the sidelines.

The infrastructure is being built. The question is whether your business is inside it or looking at it from across the street.