Claudia, our Newest Team Addition

Every week, a new tool drops. Every month, a new capability that would have felt like science fiction two years ago becomes standard. Every quarter, the conversation shifts again, and if you are running a business, building a brand, managing a team, or doing all three at once while also being a full human being with a life outside of work, keeping up can feel like a part-time job in itself. We have been in that position. We have watched the AI conversation move from curiosity to noise to genuine necessity, and somewhere in the middle of all of that, we found something that changed how we work.

Not in a dramatic, overnight way, but in the quiet, compounding way that good systems always work. Slowly, and then all at once. AI is no longer new. It is no longer a trend you can afford to observe from a distance while you figure out if it is worth your time. Now AI is infrastructure, the same way email was infrastructure, the same way social media became infrastructure, and we all know how that story went for the people who waited too long to take it seriously.

One of the tools leading that shift is Claude, or as we call her at MHOB, Claudia. Not because it is cute, though it is, but because that is genuinely how we relate to her. As a team member, not only a search engine. We have intentionally built a working relationship with over time, because that is when it stops being a tool and starts being a real advantage.

We talk a lot on this blog about working smarter, building sustainably, and finding systems that support the life you are trying to build rather than consume it. Claude is one of those systems.

Here is a number worth sitting with. Research from Harvard Business School found that women are adopting AI tools at a 25% lower rate than men, despite the fact that the benefits apply equally to both. An analysis examining 18 different studies confirmed the same estimate: a consistent 25% gender gap in the use of generative AI tools like ChatGPT and Claude.

The reasons are layered. According to Deloitte, women report lower trust in AI providers to keep their data secure, and in some workplace contexts, women fear being judged harshly for relying on AI tools. There is also a confidence gap: a 2025 study found an 18% gap in AI skills confidence, with young women reporting significantly lower confidence than their male peers.

The consequences of that gap are real. A 2026 study cited by Lean In found that women make up 86% of workers who are both highly exposed to AI-related job disruption and least equipped to adapt to it. Solène Delecourt at UC Berkeley puts it plainly: "At risk is billions of dollars in lost productivity and missed innovation from women."

This is not about women being less capable with technology because that is not the problem. The problem is about access, confidence, and a system that has not done enough to bring women in. That is exactly why we talk about this here, and why learning how to use AI strategically is one of the most practical things you can do for your career and your business right now.

Claude is an AI assistant built by Anthropic. If you are picturing a fancy search bar you open when you are stuck, you are underselling it significantly.

Claude becomes genuinely powerful when it is trained with context, integrated into a consistent workflow, and treated as a thinking partner rather than a task machine. That is the shift most people miss. They use AI occasionally and get occasional results. The people getting real value are the ones using it the way you would use a trusted colleague: consistently, with context, and with clear expectations.

Here, “Claudia” is not something we open when we need help. She is already woven into how we think, plan, and execute. That is a different relationship entirely.

Claude has been around. AI has been around. So why does it feel like everything shifted recently?

Because the capabilities finally caught up with the expectations.

According to an NBER study of nearly 750 corporate executives, labor productivity gains from AI adoption are positive across sectors and are expected to strengthen through 2026, with the largest effects in high-skill services. Research from the St. Louis Fed found that generative AI users reported saving an average of 2.2 hours per week, with savings increasing the more consistently people used the tools.

A Harvard Business School study of 758 consultants found that workers using AI completed 12.2% more tasks, finished them 25.1% faster, and produced results that were rated 40% higher in quality. Less experienced workers improved even more dramatically than senior ones.

This is not about asking AI to write a caption, this is about building systems, creating plans, supporting decisions, and moving faster without burning out faster. That is a completely different level of utility.

We use this tool with intention, and that distinction matters more than any specific prompt or technique.

Claudia knows our brand voice, our audience, our content structure, and our standards. When we sit down to work, we are not starting from zero. We are continuing a conversation that already has context.

Here is what that looks like in practice.

For strategy, instead of staring at a blank page, we brainstorm angles, build outlines, and pressure-test ideas before committing to them. For content, the approach is less "write this for me" and more "refine this, challenge this, make this sharper." The thinking is ours. The execution becomes faster. For systems and workflows, Claudia helps us build repeatable processes and frameworks we can reuse across projects, which is where AI stops being a convenience and starts being a multiplier. For decision-making, sometimes you need clarity and a second perspective that is not emotionally invested. That is where having a thinking partner available at any hour becomes genuinely valuable.

People who expect AI to think for them, decide for them, or replace effort are going to be disappointed. That is not how this works, and that framing is also what keeps people from getting real value out of it.

AI amplifies what you bring to it. If you are clear on what you need, it makes you faster. If you are vague, it gives you something generic. The quality of the output is almost always a reflection of the quality of the input. That means learning how to communicate with it, give it context, and push back when something is not right. That is a skill, and like most skills, it gets sharper with use.

The good news, per Lean In's 2026 research, is that women are closing the adoption gap faster than expected. The number of women using generative AI tripled in the past year, outpacing the growth rate among men. The momentum is there. The question is whether you are part of it.

Women are already managing more cognitive load than most systems were designed to account for. The World Economic Forum's 2025 Gender Gap Report notes that women carry out three times as much unpaid domestic and care work as men, in addition to their professional responsibilities. The invisible workload is real, and it is significant.

A tool that saves you many hours a week, sharpens your strategy, helps you write faster, and supports your decision-making without adding to your mental load is not a luxury. It is a practical investment in how you operate.

In 2026, learning this skill and start using AI is about protecting your time, increasing your capacity, and building skills that compound over time. AI is the number one topic women want to learn about, and yet 63% report a lack of skills and access to training. That gap is a structural problem more than a reflection of interest or capability, and the most direct response to a structural problem is to move anyway, on your own terms.

Claude is not magic, and it is not replacing anything real. It is supporting everything that matters.

Research from AI Literacy Institute and Women in Tech confirms that 77% of female founders are now using AI in their businesses, indicating that women entrepreneurs are leading the way in adopting this technology.

The question is not whether AI will be part of how ambitious women work. It already is. The question is whether you are using it in a way that supports you at the level you deserve.

We built a course on exactly this, created by founders for founders, teaching you how to use AI to actually get things off your plate. Join our first free lightning session on May 18th.

See you there!