Research

Explore our latest research on AI-powered entrepreneurship, agentic workflows, and the future of solo business creation.

Research & Findings

Current Research Focus

Our research explores three interconnected areas that are reshaping how business value is created and captured in the age of AI.

1. The Rise of AI-Powered Solopreneurship

Key Finding: Individual entrepreneurs can now handle enterprise-level complexity using AI agents for coding, marketing, operations, and customer service.

Research Highlights:

  • Solo founders building MVPs in weeks, not months
  • AI agents handling 80%+ of routine business operations
  • Customer acquisition costs dropping 60% through AI-optimized campaigns
  • Single-person companies managing thousands of clients simultaneously

2. Enterprise Agentic Transformation

Key Finding: Large organizations are adopting multi-agent systems that plan, execute, and improve tasks autonomously.

Current Data Points:

  • Gartner forecasts 33% of enterprise software will include agentic AI by 2028
  • 15% of daily business decisions being automated
  • Organizational hierarchies compressing by 2-3 levels on average
  • OpenAI’s 5-level agentic hierarchy becoming industry standard

3. Democratization of AI-Driven Leverage

Key Finding: Cloud platforms and open-source models have dramatically reduced the cost and complexity of deploying advanced AI capabilities.

Market Analysis:

  • 90% reduction in AI deployment costs since 2020
  • Open-source models achieving 95% of proprietary model performance
  • Self-improving reasoning systems emerging across multiple domains
  • Collaborative agent frameworks enabling seamless task handoffs

The One-Person Unicorn Race

Multiple industry leaders predict the emergence of billion-dollar single-founder companies:

  • OpenAI CEO Sam Altman: “Ten-person companies with billion-dollar valuations”
  • Tim Cortinovis (Single-Handed Unicorn): Strategic problem identification over headcount growth
  • Industry consensus shifting from “if” to “who will be first”

Agentic Platform Evolution

  • Level 1-2 Agents: Task execution and basic reasoning
  • Level 3-4 Agents: Complex planning and coordination
  • Level 5 Agents: Strategic decision-making partners

Economic Disruption Patterns

  • Traditional SMEs facing pressure from AI-enhanced competitors
  • New job categories emerging: AI oversight, ethical auditing, human-centric services
  • Reskilling requirements accelerating across all sectors

Case Study Previews

AI-Powered Holding Company

A Forbes-analyzed company using multiple specialized agents:

  • Figma-to-code transformation agents
  • API debugging and optimization agents
  • HIPAA-compliant data routing systems
  • Autonomous marketing campaign management

Full case study available in our Case Studies section.

Scaling Without Headcount

Beam AI platform users reporting:

  • 10x client capacity increase with same team size
  • 90% reduction in routine operational tasks
  • 75% improvement in client response times
  • 60% decrease in operational costs

Methodology

Our research combines:

  • Quantitative Analysis: Market data, performance metrics, adoption rates
  • Qualitative Research: In-depth interviews with practitioners and experts
  • Case Studies: Real-world implementations and outcomes
  • Trend Analysis: Technology evolution and regulatory developments

Publications & Reports

  • TFIS Executive Summary (Latest): Comprehensive overview and key findings
  • Solo Unicorn Readiness Report (Coming Q2 2025)
  • Enterprise Agentic Adoption Guide (In Development)
  • AI Tool Landscape Analysis (Quarterly Updates)

Collaboration Opportunities

We seek partnerships with:

  • Solo entrepreneurs using AI at scale
  • Enterprise leaders implementing agentic systems
  • AI researchers developing collaborative frameworks
  • Policy makers addressing governance challenges

Join our research community to contribute data, insights, and expertise to this evolving field.