Welcome to exhilarating episode of AI Innovators with Rob May!

In this episode, Rob is joined by Dan Schwarz, founder of FutureSearch, for an in-depth conversation about the future of artificial intelligence and the pivotal role forecasting plays in understanding where AI is headed. Unlike any previous guest, Dan brings his unique perspective as a leader of a company that leverages AI to predict the future of AI itself.

Dan and Rob dig into some of FutureSearch’s boldest forecasts—like predictions on OpenAI’s 2027 revenue and the emerging business models that could power an intelligence explosion.

They explore how AI-driven forecasting is dramatically improving the ability to answer tough questions about technology, industry disruption, and the timeline for true superintelligence.

Dan shares FutureSearch’s methodology, the importance of track records in making credible predictions, and why the next wave of AI revenue is likely to come from “agents” rather than traditional products like ChatGPT.

Throughout the episode, you'll get insights into the challenges and opportunities facing foundational model companies like OpenAI and Anthropic, the impact of disruptive new technologies, and why positive feedback loops could make AI’s evolution much faster—and more surprising—than most expect.

Whether you’re an investor, technologist, or just fascinated by AI’s rapid progress, this episode is loaded with expert analysis, real-world examples, and forward-looking ideas to keep you ahead of the curve.

• Costs and Investment: OpenAI is burning through far more capital than previous tech companies due to the enormous compute costs required for their models. The money they’ve raised is more about meeting these high operating expenses than signaling runaway revenue success.

• Competition and Technological Disruption: Key risks include rivals (like Anthropic, Google) overtaking OpenAI in model quality. There’s also the ever-present possibility that a left-field technology breakthrough could upset current leaders.

• Forecasting Superintelligence: Future Search contributed to AI 2027, a collaborative forecast about the path to superintelligence. Dan sees the automation of coding, followed by automated AI research, as critical “dominoes” that could lead to an intelligence explosion—though he’s skeptical about this all happening extremely soon.

• Limits to Forecasting: There are fundamental, probabilistic limits to what either humans or AI can forecast—some things simply can’t be known in advance due to inherent uncertainty (like specific “black swan” events), but much of the world is more predictable than people expect when approached rigorously.

Dan's Links

(Linkedin)

futuresearch.ai

02:00 – Establishing Credibility Through Track Records: Why past performance and reputation matter when building trust in AI...

Welcome to exhilarating episode of AI Innovators with Rob May!

In this episode, we explore the transformative power of AI in marketing and branding with our distinguished guests: Catherine Perloff, a journalist focused on the advertising business of big tech platforms, and Noah Brier, an entrepreneur passionate about integrating AI into marketing strategies.

Catherine and Noah delve into how AI is reshaping the advertising landscape by enabling creativity and accelerating content creation. They discuss the challenges marketers face with AI adoption, such as the slow integration within large enterprises and concerns over data privacy and brand safety.

Rob, Catherine, and Noah also consider the future role of AI in branding and marketing, emphasizing the importance of maintaining strong brand identities in a rapidly evolving technological environment. Whether you're a marketer, technologist, or simply curious about AI's influence, this episode is packed with valuable insights to help you keep pace in the AI-driven world. Tune in to discover how AI experts are pushing the boundaries of what’s possible in marketing!

• AI in Marketing: Explore how AI is driving innovation in marketing by streamlining the creation of ads and enabling more dynamic advertising strategies.
• Challenges in AI Adoption: Learn about the hurdles large brands face in adopting AI, from legal barriers to cultural resistance within organizations.
• Branding and AI's Future: Gain insights into the evolving role of branding in an AI-centric world and how brands can position themselves for success amidst changing media landscapes.

Catherine's Links

(Linkedin)

Noah's Links

(Linkedin)

(brxnd.ai)

04:43 – AI in Advertising: How the advertising industry is embracing AI for creativity, targeting, and efficiency.

07:45 – Brand Renewal Through Experimentation: The role of AI in driving brand reinvention and creative risk-taking.

12:49 – AI Tools & Brand Identity: Balancing AI-generated content with quality control and brand authenticity.

14:22 – Data Sharing Dilemmas: Navigating the privacy, trust, and security challenges of AI data sharing.

19:45 – Rethinking Branding Fundamentals: Examining how AI is reshaping the core principles of branding.

20:49 – Global Brand Consistency: Leveraging AI to ensure cohesive brand experiences across international markets.

Welcome to another exciting episode of AI Innovators with Rob May! In this episode, we dive deep into the intersection of artificial intelligence and risk analysis with Scott Weller, co-founder of Enfi AI.

• Scott shares his insights on how AI is transforming the credit industry by streamlining the underwriting process, making commercial lending more efficient, and, ultimately, boosting economic growth.
• Rob and Scott discuss the challenges and solutions surrounding AI's role in financial services, including dealing with LLM hallucinations and building agent-based systems.
• Scott also reflects on the evolution of digital coworkers and their role in the future workforce.
• Whether you're an entrepreneur, technologist, or simply curious about AI's impact, this episode is packed with valuable insights on staying ahead in the AI-driven world. Tune in to explore the future possibilities with AI experts leading the charge!

Episode Highlights:

• Efficient Credit Analysis: Scott highlights how AI can streamline credit risk assessment by automating mundane tasks, allowing analysts to focus on more complex decision-making, ultimately enabling banks to lend more efficiently.
• Agent-Based Systems: He discusses the development of agentic systems that are fine-tuned to specific tasks, helping reduce errors like hallucinations and improving overall system reliability in data-heavy environments like finance.
• Future of Digital Workforces: Scott envisions a future where digital coworkers, empowered by natural language processing, work alongside humans to enhance productivity and drive innovation in various industries.

Scott's Links

(Linkedin)

(enfi.ai)

01:00 - Streamlining Credit Risk Assessment.

03:53 - "Agent Systems for Controlled AI Tasks."

08:12 - Future: Human-AI Workforce Collaboration.

13:19 - "Automate Mundane for Success."

16:16 - Trustworthy AI Models for Financial Services.

19:32 - Challenges in Agent Planning Accuracy.

21:34 - Optimizing Task Execution Plans.

24:05 - Join ENFI AI: AI Partnerships Invited.