Research for the shift before consensus.
Books, frameworks, and institutional research on technology, venture capital, AI, and where economic value moves during platform shifts.
Blueshift
How to spot what's coming next before everyone else.
Blueshift turns three decades of platform-shift pattern recognition into a seven-signal framework: Interface Shift, Cost Collapse, Developer Gravity, Distribution Capture, Profit Migration, Incumbent Hesitation, and Capital Flood.
The book and framework include a foreword by Vint Cerf and endorsements from Reid Hoffman, Vinod Khosla, Steve Jurvetson, Tim Draper, and Cerf.
BlueshiftZero Gravity
Zero Gravity: Riding Venture Capital from High-Tech Start-Up to Breakout IPO was published by Bloomberg Press in 1999. A second edition followed. The book focused on how technology companies are built, financed, positioned, and taken from early stage toward scale.
AI Investment Outlook 2027
A Blueshift Research Databook and Forecast.
Steve Harmon's current institutional research applies the Blueshift framework to the AI economy: models, distribution capture, developer gravity, cost collapse, incumbent hesitation, profit migration, interface shift, and capital flood.
The central question is where AI economic power, value, and control are moving as intelligence becomes cheaper and more widely distributed.
AI Investment Outlook 2027Research lineage
Harmon's writing connects a consistent problem across multiple technology eras: the market usually recognizes a platform shift after the important economic control points have started moving. His work is designed to identify those moves earlier.