99% of People Have No Idea What's About To Happen with AI | Tony Robbins x Robert Smith
In a Nutshell
Tony Robbins and Robert Smith argue that the winners in the AI era will be those who build "agentic" systems—autonomous AI agents that execute real work rather than just suggest options. Smith is converting his 89 portfolio companies from SaaS to agentic platforms, projecting 8–10 billion agents serving 750 million users with 24/7 operation and 100% enterprise-grade accuracy. The decisive edge comes from persistence, grit, and institutional willingness to evolve infrastructure so AI feeds and multiplies existing software value instead of replacing it.
These notes were generated by AI and may contain inaccuracies.
Persistence and the willingness to never give up remain irreplaceable qualities in achieving success. Beyond problem-solving ability, relentless curiosity stands out as a defining trait among high achievers. Successful individuals maintain curiosity, acknowledge they do not always have answers, and continue asking the next set of questions, which generates insights and allows them to apply intention and energy toward solving problems.
When coaching people to push through walls of frustration, one approach involves helping individuals discover solutions themselves rather than providing answers directly, which builds confidence incrementally. Sports and activities like chess serve as training grounds where children learn to solve problems independently. As parents and leaders, the goal is preparing individuals for their journey rather than clearing the path for them.
Identifying people with natural grit involves listening to their origin stories and how they describe what brought them to their current position. Those who demonstrate they will not take no for an answer possess the spark that leads to persistence through challenges.
Grit proves difficult to identify but becomes visible during downturns, market condition changes, and when new technologies enter established operating environments. Grit determines whether individuals ignore change, embrace it, or integrate it into their institutional DNA.
Success stems from creating an institution capable of evolution. Early enterprise software operated entirely on-premise. When SaaS and hosted solutions emerged, the response was building a conversion factory to transition from on-premise to cloud infrastructure. This effort converted more businesses from on-premise to cloud than any other institution.
With the emergence of generative artificial intelligence, the same approach applies: building a factory to transition from SaaS to agentic solutions. All 89 portfolio companies are pivoting in this direction, with some becoming fully agentic and others becoming gen AI enabled.
Traditional AI could identify options like restaurants and museums for travel planning. Agentic AI goes further by actually booking reservations, making changes, and adjusting plans autonomously. These agents perform tasks and replace human employees in executing work.
Marc Benioff described this capability as transformative, enabling companies to effectively add 500 new employees through this technology.
With 750 million users across 89 software companies operating in 180 countries and 70 industries, the transition involves each user moving from software consumers to having 2-5 agents initially, ultimately reaching 10-12 agents per user. This scales from 750 million users to 8-10 billion agents globally.
These agents operate 24/7/365 without interruption. As a fiduciary responsibility, the focus remains on bringing maximum efficacy to controlled assets by building infrastructure and components to convert users to agentic solutions.
Each agent requires specific task assignments and protection through cybersecurity measures. Enterprise environments demand 100% certainty and accuracy, unlike consumer applications where lower precision may suffice. For example, wire transfers cannot operate at 99.5% efficiency—100% certainty is required.
Enterprise software serves as the trusted provider of infrastructure, workflows, and data. AI does not replace enterprise software but feeds it, enhancing its capabilities and value.
Code generation has been deployed across 100% of portfolio companies, delivering 40% greater effectiveness currently, with expectations of reaching 80% effectiveness in the near term. This represents cost-side improvements.
On the revenue side, orchestration agents with nine separate agents now perform the work of customer service and sales personnel with 24/7/365 efficacy. When customer data changes—such as job transitions posted on LinkedIn—agents immediately detect these changes, create activities, and initiate workflows to address impacts on client relationships and served companies.
Partnerships with Microsoft provide the foundry aspects necessary for creating environments, cybersecurity, telemetry, and controls ensuring agents execute only intended actions.
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