Build the Room Own the Room

A Black Women Who AI Podcast

Black women building with AI. No permission asked. The podcast, the community, and the receipts, all in one place blackwomenwhoai.substack.com

Episodes

  1. 2d ago

    Build the Room, Own the Room Episode 5

    It's the last week of the month, which means it's time for AI News That Actually Matters on Black Women Who AI. Sharitta and Ella cut through the hype cycle and cover what actually affects how you work, build, earn, and make decisions. This month: the data on how AI bias shows up in the real world, not the theoretical one. Facial recognition misclassifying dark-skinned women at 42 times the rate of light-skinned men. A landmark Stanford study of 4 million job applications finding 26% of Black applicants applied to roles where the AI system showed measurable racial disparity. Medical algorithms linked to a 30% higher death rate for Black patients. They break down why this isn't a glitch, why it's the system working exactly as trained, and what to actually do about it, including your right to ask what data was used in a healthcare or hiring decision that affects you. Also on deck: Anthropic posts its first profitable quarter ever, revenue up 14-fold year over year, driven largely by Claude Code Sam Altman admits his own timeline for AI disrupting the economy was way off, and what that says about the real cost of enterprise AI adoption The Westlake, Texas data center fight: a 1.1 million square foot facility, a neighboring city fighting back, and why this keeps happening The AI proficiency gap for AI-exposed jobs is changing twice as fast as less-exposed roles. Don't wait around. Full source links for every statistic are in the Substack post so you can go verify it yourself. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blackwomenwhoai.substack.com

    Build the Room, Own the Room Episode 5
  2. Aug 20

    Build the Room, Own the Room Episode 4

    Build the Room, Own the Room Episode 4: "The Tools Aren't Neutral" Hosts: Sharitta Marshall + Ella Nance Episode 2 named who's missing from the rooms where AI gets funded and built. This episode closes that loop. Even once you're in the room, the tools carry the bias of the rooms that built them, and Sharitta and Ella walk through the receipts on facial recognition, hiring, and healthcare AI to prove it. Key moments: Facial recognition misclassifies dark-skinned women at up to 34.7%, versus 0.8% for light-skinned men, roughly a 43-to-1 gap and the most documented case of racial bias in AI. Sourced from the landmark 2018 Gender Shades study by Joy Buolamwini and Timnit Gebru (MIT Media Lab), corroborated by a 2019 NIST study of 189 algorithms across 99 developers. AI hiring tools favor white-associated names 85% of the time, per a University of Washington study running over three million resume-job comparisons. The largest study of AI hiring algorithms to date found 26% of Black applicants applied to roles where the AI system showed measurable racial disparity, measured against the EEOC's four-fifths rule. Sharitta's own numbers: 800+ job applications, a master's degree, over 10 years in SaaS, and fewer than 10 callbacks. A live example of what the hiring stats look like from the inside. Healthcare AI bias linked to a 30% higher death rate for non-Hispanic Black patients. Radiology AI trained mostly on male patients. Pulse oximeters that misread darker skin. AI pregnancy monitoring missing 30% more complications in women of color. The business case: gender-biased AI costs companies an estimated $1.2 billion a year in lost productivity. The World Economic Forum estimates fixing it could add $12 trillion to global GDP. Sharitta's take: it's cost-effective to stop being biased, and companies still won't. A real-world consequence: a Black teenager dislocated his shoulder after police wrongly detained him off a facial recognition misidentification, walking home from school with his backpack on. Data ownership in practice: Ella and Sharitta on asking every provider and platform why they need your data, and opting out by default when the answer doesn't hold up. Sharitta's mammogram story, asking a hospital directly if her data as a Black woman would be used to improve preventative care for other Black women. The reframe on "building": you're building the algorithm every time you like, search, or scroll, not just when you sit down to code. Living conscious of that is part of the work. Closing question for the audience: has an algorithm ever made a decision about you that was wrong because of who you are? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blackwomenwhoai.substack.com

    Build the Room, Own the Room Episode 4
  3. Aug 11

    Build the Room, Own the Room: Episode 3

    Build the Room, Own the Room: Episode 3 Episode Summary Knowing AI is one thing. Getting paid for it is another. This episode tackles the gap between the two, starting with mindset and ending with the real numbers behind pricing your work. What They Cover Why imposter syndrome doesn't hold up for Black women, and why the systemic issues that shape our experience make it the wrong framework to begin with The AI consulting market: worth an estimated $14 billion this year, heading toward $116 billion within a decade Starting from where you are: identifying the skills you already have and turning them into paid offers, AI included Why AI is not smarter than you, and why the real value is in solving the right problem, not the tool itself Market stats: AI hourly rates ranging $150 to $1,000 in 2026, AI corporate training spend at $7.5 billion heading to $18 billion by 2031, and 50% of job roles expected to require AI skills within the next year or two The pricing gap: women average $126/hour in consulting versus $154/hour for men doing comparable work, with intersectionality widening the gap further Value-based pricing versus hourly: 51% of value-based consultants land $10K+ projects versus 39% of those pricing hourly Naming the guilt that shows up around charging what you're worth, and separating that guilt from the actual data Closing reflection: what AI skill have you not yet tied to a charge, a service, or visibility? Notable Moments Ella's reframe: "You can start from where you are and build." Skills already in use, from managing a household budget to organizing logistics to storytelling, count as sellable expertise. Sharitta's mindset cut-through: focus on the problem you're solving, not on keeping up with AI itself, since the tools change constantly but the skill of finding the right solution doesn't. Ella's story on building a personal "sanity checker" tool to catch herself before underpricing out of guilt or fear of losing a client. Sharitta's closer: run on the fact that you are not the people who've gotten by with no proof of concept and no job experience. You have both. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blackwomenwhoai.substack.com

    Build the Room, Own the Room: Episode 3
  4. Aug 5

    Build the Room, Own the Room, a Black Women Who AI Podcast - Episode 2

    Build the Room, Own the Room Black Women Who AI (BWWAI), Season 1, Episode 2: "Why Us, Why Now" Hosts: Sharitta Marshall and Ella Nance Episode Description Black founders raised $643 million by May 2026, and everyone is calling it a comeback year. One deal, SambaNova's $350 million round, is propping up that whole number. Take it out and Black founders are still sitting at 0.32% of national venture capital. Sharitta and Ella refuse to call that a comeback, and use it as the entry point into a wider conversation about funding, representation, and what it actually means to own the room instead of waiting to be invited into it. Timestamps 00:00 Cold open. The $643M "comeback" stat and why it does not hold up. 00:30 Welcome back, episode framing: Why Us, Why Now. 00:52 Breaking down the 2026 "comeback year" claim. SambaNova's $350M round versus the real number once it's removed: 0.32%. 01:38 "Don't call it a comeback." Reaction to the math. 02:19 Reality check: talented Black women in tech exist, they're just invisible in the room. Question raised about whether these numbers reflect the recent DEI rollback. 02:52 The funding gap in context: 0.32-0.4% of VC going to Black founders is not a talent problem, it is an access problem. 03:44 The Series A ceiling: 17% of Black-founded companies reach Series A versus 37% overall. 04:26 The Freedom Fund story. A Black women-led VC fund that got sued for funding Black women's organizations, and what that cost the fund and the founders who relied on it. 05:37 The real funding reality for Black founders: self-funded, credit cards, no generational wealth cushion to fall back on. Sharitta shares having had to stop a business after running out of capital. 06:23 The leadership gap: 3% of Black women hold executive roles in corporate America, not CEO roles, executive roles overall. 07:08 Personal segment: "When did you notice you were the only one in the room?" 07:15 Ella's story. A first job she remembered as easy, realizing mid-conversation it was also the only place she wasn't the only Black woman in the department. Every role since, being mistaken by name for the one other Black woman in the building, an executive she looked nothing like and shared no role with. 10:52 Sharitta's story. One of one, or one of less than three, for her entire corporate career, and a precarious situation that came from being one of two. 11:31 The pivot: how do you move from surviving the room to owning it? 11:41 Defining "Build the Room, Own the Room": the difference between using what you have and actually owning it. 12:27 Why waiting to be invited in is a losing strategy when only 0.4% of capital is available at all. 13:24 The stat that stops the room: women-funded companies generate 78 cents of revenue per dollar invested versus 31 cents for male-founded companies, and still get under 2% of funding. Proof it was never about merit. 14:45 Ella on "my work will speak for itself," and why waiting for your work to be noticed is its own kind of permission-seeking. 15:37 Why Ella decided to build something of her own instead of waiting to be recognized inside someone else's. 16:39 Why Sharitta and Ella started Black Women Who AI: living these stats, and refusing to let the numbers get worse as AI reshapes who gets access to opportunity. 17:55 Calling out the double standard: companies raising millions on an idea with no MVP while Black women builders with real products and real demand get passed over. 18:23 The mission: AI as an equitable resource, and making sure Black women know there is already a community of women building, teaching, and running AI-driven businesses. 19:10 Closing thoughts. This is a sisterhood, not content. Invitation to comment, subscribe, and be part of the community. 20:04 Ella's closing takeaway: success is not one definition. It can be a side business, remote work by the water, whatever version is actually yours. 21:17 The audience challenge: if nothing were holding you back, what would that thing actually be? 22:39 Sign-off and outro. Key Stats Referenced This Episode Black founders raised $643M by May 2026, the strongest quarter since 2022, propped up almost entirely by one company (SambaNova, $350M). Remove that deal and Black founders sit at 0.32% of national VC. Black founders received 0.4% of all US venture funding in 2024, down from 1.3% at the 2021 peak, while total US startup funding rose to $314 billion. Only 17% of Black-founded startups reach Series A, versus 37% overall. Only 3% of Black women hold executive roles in corporate America (not CEO roles specifically, executive roles overall). Women-founded companies generate 78 cents of revenue per dollar invested versus 31 cents for male-founded companies, and still receive under 2% of total funding. Mentioned in This Episode The Freedom Fund (Georgia): a Black women-led venture fund that faced a lawsuit over funding Black women's organizations. SambaNova Systems: the single funding round responsible for most of 2026's "comeback" narrative. Source Notes Crunchbase Diversity Spotlight / Crunchbase News (Q1 2026), Forbes ("Black Founders Get 0.4% of VC," March 2026), AfroTech / Yahoo Finance Black founder funding tracking, BLCK VC 2025 State of Black Venture Report, PitchBook Female Founders Dashboard, Black Enterprise ("AI Power Shift," March 2026), AnitaB.org workforce study, MIT Sloan Management Review ("Diversity in AI"), CIO.com women in tech statistics 2026. This Episode's Question If there was nothing holding you back, what would that thing actually be? Drop your answer in the comments. Subscribe To hear New episodes of Build the Room, Own the Room and join the Black Women Who AI community. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blackwomenwhoai.substack.com

  5. Jul 24

    Build the Room, Own the Room: Episode 1

    Build the Room, Own the Room: Episode 1 A Black Women Who AI Podcast Hosts: Sharitta Marshall (Visionary Development Consulting) and Ella Nance (Nance Coaching Studio, Nance Collective) Episode Summary Welcome to the first episode of Build the Room, Own the Room. This is the origin story. Sharitta Marshall and Ella Nance sit down to explain why Black Women Who AI exists, how the two of them found each other, and what listeners can expect from this show going forward. It started with a TikTok live, a random message neither of them would normally send, and a first call that clicked. From there, Sharitta and Ella built a community focused on one thing: making sure Black women are not left out of the AI conversation, whether that means building it, applying it, or sitting on the boards that decide how it gets used. What They Cover The TikTok live that led to Ella reaching out to Sharitta, and why that first call turned into a full partnership The mission behind Black Women Who AI: helping Black women move past AI hesitation and ethics concerns to see AI as a tool for economic self-determination Why representation in AI matters, and what it means to build community, financial literacy, and consistency around the technology How Sharitta and Ella complement each other. Ella is the careful, foundations-first trainer who meets people at the beginning of their AI journey. Sharitta is the "all gas, no brakes" strategist who takes a big idea and breaks it into an executable plan Why two Black women running this together, unapologetically, is the point, not a footnote The show's content pillars going forward: the business of AI, culture and power, and AI news and impact What to expect from future episodes, including guest builders: Notable Moments Ella on why she reached out to Sharitta after a shared TikTok live, even though cold outreach isn't her usual style Sharitta on being "the puzzle master" who takes a big picture idea and breaks it into pieces that actually get built Ella on representation: seeing someone who looks like you doing something you didn't know was possible can change a life Sharitta on being an HBCU alum - Thee Howard University and why that lineage shapes how she shows up in this work Call to Action Subscribe so you don't miss what's next. If you want to help keep this going, a paid subscription supports the work directly. Drop a comment with your questions or ideas for future episodes. Sharitta and Ella want to hear what you want covered around AI. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit blackwomenwhoai.substack.com

    Build the Room, Own the Room: Episode 1

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Black women building with AI. No permission asked. The podcast, the community, and the receipts, all in one place blackwomenwhoai.substack.com