How Bespoke faked AI until it actually worked (w/ Akemi Tsunagawa) | E2320

The episode begins with Akemi Tsunagawa introducing her diverse entrepreneurial ventures, starting with Bespoke, a company that initially faked AI chatbots until they proved effective. She shares insights into how her team answered customer inquiries manually to build trust and credibility before automating, notably winning Narita Airport as a client. The discussion emphasizes the importance of 'faking it till you make it' and how customer feedback can guide product development, especially in challenging markets like Japan.

Akemi discusses Japan's increasing popularity as a travel destination, driven by factors like favorable exchange rates, high quality at fair prices, and diverse attractions. She highlights challenges related to over-tourism, cultural tensions, and the adaptation required by tourists from abroad. Key cultural insights include behaviors such as shoe removal, quiet conversations in public, and respectful line-waiting, along with the difficulties non-Japanese face aligning with local customs. The conversation also touches on how government policies impact tourism and foreign labor.

The episode explores Japan's declining and aging population, which hampers economic growth and the labor market. Akemi points out that families find it too expensive to have children, and the government is making efforts to increase wages and integrate foreign workers through new visa categories. She describes her own experiences raising a child while working abroad and how this highlights broader systemic issues. The importance of training and integrating foreign workers is another focus, with Akemi mentioning her company's role in using video and smart glasses for vocational training.

Akemi reveals her focus on developing robots to automate dangerous and repetitive tasks in shipbuilding and construction, like scaffold inspection and paint thickness measurement. These tasks are currently under-resourced and dangerous, often skipped, leading to accidents. Her innovative approach involves creating robots that climb, shake, and record inspections, reducing labor costs and improving safety. The discussion emphasizes automation as a solution to Japan's labor shortages and the potential for deploying factory-made robots as a business — including buying and upgrading factories.

Akemi shares her deep engagement with AI tools like Claude, ChatGPT, and others for automating workflows, writing job descriptions, and organizational management. She discusses her vision of an AI-based 'second CEO' that can analyze all company data, provide insights, and improve decision-making. The broader theme highlights how AI is already transforming work processes, reducing the need for human labor, and enabling startups and companies to scale leaner. She also touches on the importance of customer interviews and iterative product development.

The conversation shifts to funding, where Akemi explains her experience in raising capital, including government-backed loans and self-sufficiency after initial funding rounds. She contrasts Japanese funding environments, which favor profitable companies with assets and government collateral, against the US, where startups often rely on VC. The episode underscores how building profitable, capital-efficient businesses can lead to sustainable growth and reduce reliance on dilutive funding. Akemi expresses interest in expanding her business internationally, especially to markets facing similar demographic and labor challenges.