A research program · Technology Quotient
Technology Quotient is a research framework for measuring how well individuals, organizations, and societies sense, adopt, and extract sustained value from technology — and why the gaps between them keep widening.
The multi-dimensional capacity of an individual, organization, or society to sense technological change early, absorb new technology effectively, adapt when the landscape shifts, and extract sustained, compounding value from technology over time. Capacity that can be measured, developed — and lost.
How a person relates to, learns from, and applies technology across their career. The most personal layer — and the most improvable with deliberate practice.
How well a company senses shifts, makes adoption decisions, and operationalizes technology at scale. Not the average of individual TQ — an emergent property of culture, structure, and leadership.
How nations, regulatory systems, and public institutions relate to technological change. Sets the ambient environment within which organizations and individuals operate.
After 15 years building AI solutions in the enterprise, the question stopped being "why do some investments work?" It became: why do identical investments produce radically different outcomes? The answer is always one of five bottleneck types.
Mental models for evaluating and using technology have not kept pace with the speed of change. Not a skill gap — a framework gap. Most acute with AI, where the conceptual distance between marketing and capability is historically large.
Identity and established norms create friction at the moment of adoption. "We've always done it this way" at the organizational level. "I'm not a tech person" at the individual level. Both are adaptive responses to past environments that become liabilities when environments change faster than cultures.
The physical and organizational architecture of how work gets done prevents adoption regardless of intent. Siloed data ownership, absent integration budgets, and fragmented governance produce structural bottlenecks that kill adoption even when everyone wants it to succeed.
The return on technology investment is too slow, too uncertain, or too invisible to justify the commitment required. Organizations with short planning horizons systematically underinvest in TQ development — not from ignorance but from rational response to how ROI is measured and rewarded.
Insufficient trust in the technology, the vendor, or the institutions governing its use creates a ceiling on adoption depth. The most underappreciated bottleneck — and the most consequential in the AI era, where governance questions remain unsettled across every industry and jurisdiction.
The TQ Navigator gives you a scored breakdown across five dimensions and identifies your dominant bottleneck. Free. No account required. Shareable output.
"How calibrated is your trust in AI-generated outputs in your domain?"