Toolbox for the Trades AI in the Trades: Current State and Future Predictions
Mar 17, 2026
Abhishek Mathur, CTPO at ServiceTitan and former leader at Microsoft, Meta, and Figma, builds AI tools to boost productivity. He talks about AI as a force multiplier, real-world AI voice agents and routing that handle spikes, and the vision of an AI operating system that automates logistics and business insights. Practical adoption tips and why now is the moment for trades to try AI are also covered.
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AI As A Force Multiplier
- Abhishek Mathur frames AI as a force multiplier that removes mundane tasks so humans focus on creative problem solving.
- He uses programmers and designers as examples: AI handles boilerplate code and design basics so experts concentrate on core craft.
Start Small And Iterate With AI
- Try small, practical AI experiments rather than avoiding adoption because gains can be 2x or 3x, not fractional.
- Abhishek recommends starting small, testing, and iterating since AI is now embedded and user-friendly compared with years past.
Four Pillars Of AI In The Trades
- Abhishek outlines four trade-focused AI pillars: demand generation, front office experience, field technician enablement, and back-office automation.
- Examples include AI voice agents, intelligent routing, proposal generation, and automated invoicing.