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The AI Pit Crew for GTM

# RevvedUP 2026
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Jonathan Weiner
CEO & Founder @ HLTH

SUMMARY

In this session, Jonathan Weiner outlines how HumanX is rethinking go-to-market by embedding AI directly into its core revenue engines—sponsor and attendee growth—while emphasizing that success depends on strong data foundations and disciplined execution. He highlights how the traditional marketing stack must evolve to support AI, where poor data quality still undermines outcomes, and how AI agents can outperform humans in areas like research, personalization, and rapid execution, while humans remain critical for strategic and relationship-driven work. The discussion also explores how AI reshapes ICP targeting in a more complex signal environment and enables organizations to scale output without increasing headcount, ultimately driving faster, more efficient revenue generation with a fundamentally new operating model.

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TRANSCRIPT

[00:00–00:02] — AI as a Platform Shift

Jonathan Weiner frames AI as the fourth major technology platform shift (after internet, mobile, and cloud), but one that will likely displace jobs faster than it creates them.

[00:02–00:03] — Unprecedented Growth in AI Startups

AI-native companies are scaling at record speeds (e.g., OpenAI, Cursor), creating a “gold rush” for investors while disrupting existing SaaS businesses.

[00:03–00:04] — SaaS Disruption & Reinvention Pressure

Traditional SaaS companies face existential risk unless they reinvent themselves, as AI enables faster, cheaper alternatives to many software solutions.

[00:04–00:06] — AI Replacing Traditional Software Workflows

Examples show how individuals can now build complex tools (analytics, registration systems) in hours using AI, reducing reliance on traditional platforms and developers.

[00:06–00:08] — AI as a Productivity Multiplier

Leaders can rapidly prototype products and systems using AI, demonstrating vision and accelerating innovation without large engineering teams.

[00:08–00:10] — Personalization & AI Experiences

AI enables highly personalized user experiences (e.g., event recommendations, dynamic content), improving engagement and reducing manual effort.

[00:10–00:11] — Efficiency & Workforce Impact

Companies are being evaluated on revenue per employee, driving automation and workforce reductions as AI increases productivity expectations.

[00:11–00:12] — AI in Sales & Customer Engagement

AI tools can replace many sales functions by providing instant, personalized responses, demos, and recommendations, outperforming traditional human-led processes in some cases.

[00:12–00:14] — Rise of AI Agents

Agent-based systems (e.g., OpenClaw) can automate complex workflows like prospecting, research, and content creation, fundamentally changing how work gets done.

[00:14–00:16] — Need for Reskilling

Workers must retrain and adapt to AI-driven environments, as many traditional roles may disappear or evolve significantly.

[00:16–00:18] — Uncertain but Transformational Future

While AI may create new opportunities, it is likely to reshape the global economy in unprecedented ways, requiring both optimism and realistic preparation.


Overall Takeaway

AI represents a transformative shift that will dramatically accelerate innovation and productivity while disrupting existing business models and jobs, requiring organizations and individuals to rapidly adapt, reskill, and rethink how value is created in the future economy.

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