David Vélez sees AI's potential beyond optimizing operations. He believes it will provide sophisticated, personalized financial advice to the masses, democratizing wealth management and solving for the 99% who lack access to true financial guidance, unlike their wealthy counterparts.

Business owners are overwhelmed by AI terminology. A consultant can create a personalized GPT ecosystem using their unique preferences, goals, and workflows. This service turns an executive's operational knowledge into valuable intellectual property, packaged as custom system prompts and GPTs they can use daily.

Tim Guinness identifies the biggest risk to asset management firms as disintermediation by platforms and wealth managers who can launch their own funds. To secure their future, he believes firms like his must evolve by moving into the platform and wealth management business to own the end-customer relationship.

The Outsourced CIO (OCIO) model has evolved through three phases. After a governance-focused start (Phase 1) and a period where simple beta portfolios thrived (Phase 2), the current environment of lower expected returns and higher inflation (Phase 3) demands a true "alpha engine." Execution quality and customization are now the key differentiators.

The one-size-fits-all SaaS model is becoming obsolete in the enterprise. The future lies in creating "hyper-personalized systems of agility" that are custom-configured for each client. This involves unifying a company's fragmented data and building bespoke intelligence and workflows on top of their legacy systems.

Banks possess more intimate customer data than tech giants like Google and Facebook, yet their product offerings are generic and irrelevant. This failure to leverage their data for a personalized experience is a core reason banking feels broken and lags far behind the customer-centricity of Big Tech.

Alex Karp argues that the future of enterprise software is not about forcing companies into standardized SaaS workflows. Instead, AI's true power lies in creating custom systems that amplify a company's unique "tribal knowledge" and operational data, turning their specific processes into a competitive advantage that no other enterprise can replicate.

Generic financial advice often fails because it ignores an individual's specific circumstances. A better approach, similar to medicine, is to tailor strategies to a person's net worth. Someone with under $10k needs different advice than someone with over $1M, just as a morbidly obese person needs a different fitness plan than an athlete.

The tech industry creates first-generation wealth at an unprecedented rate, yet there's a lack of services to help these individuals navigate its complexities. Unlike inherited wealth, they lack pre-built support structures, creating a significant business opportunity to serve this group.