On an episode of “A Healthy Point of View” podcast, hosted by Sam Tejada, CEO and Founder of Liquivida®, the conversation takes an unexpected turn from wellness and mindset to technology, innovation, and human potential. Tejada sits down with serial entrepreneur Paul Allen, best known for co-founding Ancestry.com, to discuss how his career evolved from digitizing historical records to building a new generation of artificial intelligence tools through Soar AI Studio.
What emerges from the conversation is not simply a story about technology. It is a story about curiosity, lifelong learning, and a bold idea: that artificial intelligence can help people discover their strengths and actually apply knowledge in their lives.
This Tech Guru from SOAR AI Says 90% of Advice Is Wrong! Paul Allen | Ep. 124
A Childhood Built on Curiosity and Learning
Paul Allen never intended to become a technology entrepreneur.
Growing up in a family immersed in education, his mother was a teacher and his father a professor, Allen assumed his path would lead to academia. From a young age, he loved books and learning, reading thousands over the course of his life. His childhood, like many in the 1970s, was spent outdoors playing sports until dinner, but his fascination with knowledge remained constant.
His father also exposed him to technology earlier than most. A professor of manufacturing technology, Allen’s father built classification and decision-tree software that major companies such as Boeing, Caterpillar, and John Deere used to organize complex manufacturing processes. Listening to conversations about classification systems and problem-solving planted early seeds that would later influence Allen’s work.
Allen’s brother would later start a search engine company based on their father’s ideas, years before modern search engines existed. While Allen was studying Russian in college and had little professional direction, that environment quietly shaped how he would later think about organizing information at scale.
An Accidental Entrepreneur
Allen describes his entry into the technology industry almost as an accident.
After graduating, he took what he jokingly calls a “sympathy job” from his brother, earning eight dollars an hour running a scanner that digitized books into electronic databases using optical character recognition. The job introduced him to the emerging world of digital information.
Soon after, a friend encouraged him to learn programming. Within a year, Allen had become the top data-preparation engineer at the company.
That exposure sparked an idea.
Allen believed that technology could place the world’s knowledge at people’s fingertips. His first business attempted to convert valuable books into searchable CD-ROM databases. But licensing content from publishers proved difficult. The turning point came in 1995, when Allen attended an internet conference in San Francisco and realized something critical: genealogy records, birth, marriage, and death records, were largely in the public domain.
That insight led to the creation of Ancestry.com.
Allen and his team began digitizing massive volumes of historical data and making them searchable online. At a time when many households were still using dial-up internet, the idea of accessing centuries of family records from a computer felt revolutionary.
Within a few years, the platform grew rapidly and became one of the internet’s early success stories.
Seeing the Future of DNA
In the late 1990s, Allen began to realize that genealogy and genetics would eventually intersect.
A company in Iceland, Decode Genetics, had assembled two unique datasets: detailed genealogical records going back hundreds of years and medical records covering the country’s population. By combining those records with genetic analysis, researchers hoped to uncover health insights hidden within DNA.
Allen recognized the potential immediately. He attempted to bring DNA testing into Ancestry’s ecosystem long before consumer DNA kits became popular. While the idea would not fully take shape until years later, his intuition proved correct. Today, DNA testing is one of the most recognizable aspects of the Ancestry platform.
But by that point, Allen had already moved on to his next challenge.
The Unfinished Business of Innovation
Although Ancestry eventually became a billion-dollar company and went public in 2009, Allen himself was no longer involved in the business when the IPO occurred.
Watching the company’s success from a distance created a sense of unfinished business.
Allen still saw himself as a technology founder, and he wanted to build something new, something that could once again reshape how people interact with information.
That opportunity arrived through an unexpected source: a psychological assessment.
The Idea That Sparked Soar
In 2012, Allen took the Clifton StrengthsFinder, a personality assessment created by researcher Don Clifton and widely distributed by Gallup.
The assessment identifies a person’s natural talents, patterns of thinking and behavior that individuals are born with. Clifton believed that most people focus too much on fixing weaknesses rather than developing their innate strengths.
The concept resonated deeply with Allen.
Clifton argued that every person is naturally better than thousands of others at something. When individuals discover and develop those abilities, they experience excellence, fulfillment, and recognition. Yet fewer than ten percent of people truly love their work.
Allen began imagining a platform that could help people identify their strengths and apply expert knowledge tailored specifically to them.
That idea became Soar.
Why Most Advice Doesn’t Work
One of Allen’s central insights is that most advice people receive is not truly designed for them.
Advice often reflects the personality, skills, and experiences of the person giving it. What works for one individual may fail for another because their biology, psychology, and circumstances are completely different.
Allen gives a simple example: genetics.
If someone has a genetic predisposition for sprinting, endurance-athlete training programs may not suit them. Similarly, leadership styles, sales methods, and productivity systems can vary dramatically depending on a person’s natural strengths.
Soar’s mission is to personalize knowledge.
By combining expert insights with data about an individual’s talents, personality traits, and potentially even genetic markers, Allen believes technology can deliver guidance that actually works.
Turning Knowledge Into Action
Another major problem Allen sees in modern education and training is the gap between learning and doing.
People consume enormous amounts of information, books, podcasts, and courses, but rarely apply what they learn.
Allen argues that knowledge only becomes valuable when it is implemented.
This is where artificial intelligence enters the equation.
Soar AI Studio builds AI systems designed to help users apply knowledge, not just absorb it. These systems act like coaches, providing feedback, reminders, and guidance as individuals try to implement new ideas in their daily lives.
For example, one project Allen’s team launched involves sales training with Jeremy Miner.
An AI tool analyzes recorded sales calls and provides detailed feedback based on Miner’s methodology. It can identify moments when a salesperson successfully builds rapport or when a conversation starts to lose momentum, and suggest improvements for the next call.
Another collaboration with FranklinCovey applies similar AI coaching to leadership development.
Instead of attending a seminar and forgetting the lessons a week later, professionals can receive continuous feedback as they practice those skills in real situations.
The Promise and Risks of Artificial Intelligence
Allen is optimistic about AI but not blind to its risks.
He warns that overreliance on AI could weaken critical thinking. If people outsource writing or decision-making entirely to machines, they risk losing important cognitive skills.
Another concern is hallucination, instances where AI systems generate confident but inaccurate information. In fields like healthcare or finance, that could lead to serious consequences.
To address this, Allen’s team emphasizes a technique known as retrieval-augmented generation, which pulls verified information from trusted sources before generating responses.
Rather than inventing answers, the system cites and summarizes what real experts have written.
Allen believes this approach preserves the value of human expertise while using AI to make that knowledge more accessible and actionable.
AI as a Personal Coach
Ultimately, Allen’s vision for artificial intelligence is not to replace human thinking but to enhance human growth.
He imagines AI assistants that help people become better entrepreneurs, better leaders, and better individuals by learning from the accumulated wisdom of experts.
A future founder might receive daily coaching from an AI trained on the experiences of thousands of successful entrepreneurs.
A professional might receive guidance tailored to their personality and strengths.
A student might apply the lessons of great thinkers directly in their own life.
For Allen, the goal is simple: help people “soar.”
By connecting human potential with expert knowledge and guiding people to apply it consistently, he believes artificial intelligence could unlock a new era of personal development.