Andrew sits down with David Trainer, CEO of New Constructs, to talk about what AI can actually do for investors—and where most tools fall short. David explains why the future of AI in investing depends less on flashy chatbots and more on trustworthy, auditable data and domain-specific “agents” that don’t pull from the open internet.
They dig into how New Constructs built its dataset over decades, why “99% accurate” data still isn’t good enough for financial decisions, and how their AI agent (FinSights) uses deterministic rules on validated fundamentals to help investors screen, compare, and avoid misleading earnings and black-box outputs.
What You Will Learn
Why AI outputs are only as good as their inputs
What “agentic” AI means and why domain-focused agents beat internet-wide chatbots
How New Constructs built an auditable fundamentals dataset over 20+ years
How core earnings and “earnings edge” can change how you evaluate companies and indices
What kinds of investors New Constructs is built for
Timestamps
00:30 Why AI conversation matters
02:15 Fundamentals first
03:21 Why chatbots beat search—but still aren’t “expert” decision-maker
05:14 Google Cloud partnership & why reliable datasets are the real secret sauce
07:19 The problem with “best stocks” answers
08:03 What “agentic” AI means: domain-specific agents
09:14 “Walled garden” data: why the agent must NOT talk to the internet
11:57 Data reliability: why 99% good data can still be unusable for decisions
16:01 How New Constructs maintains data integrity & self-verifying systems
33:44 Index methodology & how their core earnings leaders / very attractive indices work
Resources Mentioned
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
New Constructs: https://www.newconstructs.com/
Have questions or want your story featured? Email the show at newsletter@einvestingforbeginners.com or comment below. Your feedback shapes the podcast!
Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.
Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.
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