1 October 2026
The 74/20 Problem
The most important number in enterprise AI this year is not the spending. It is the distribution. PwC's 2026 AI Performance Study, tracking 1,217 executives across 25 sectors, found that the top 20 percent of companies capture 74 percent of all AI economic value. The bottom 80 pe
Read the brief24 September 2026
The $2.5 Trillion Question
Global AI spending will reach $2.5 trillion in 2026, according to Gartner estimates cited by the World Economic Forum. Yet Ramp's latest AI Index shows business adoption in the US creeping up just 0.4 percentage points in August to 56.1%, with spend per employee declining at top
Read the brief17 September 2026
The Access-to-Value Gap
95% of companies running AI pilots are getting nothing back
Read the brief11 September 2026
The Access-Adaptation Gap: Why AI Tools Are Not Enough
The professionals who thrive in this shift will not be the ones with the most AI tools. They will be the ones who understood early that readiness is a strategy, not a subscription.
Read the brief3 September 2026
The Access-Value Gap: Why AI Readiness Is Not About Tools
The most important shift in the 2026 AI landscape is not a new technology. It is the growing distance between AI access and AI value.
Read the brief28 August 2026
AI Readiness Is Becoming Economic Infrastructure
The most important AI question is no longer who has access to the latest tool. It is who can turn access into trusted, repeatable economic value.
Read the brief27 August 2026
The Question No One's Asking: Are You Ready, or Just Aware?
Every career fair sells the same promise: here are the opportunities, here are the employers, come prepared. But "prepared" usually means a polished CV and a confident handshake. It rarely means something measurable.
Read the brief21 August 2026
Africa 2030: Why Workforce Readiness Is the Real AI Battleground
Africa's AI future will be decided by workforce readiness, not by compute. The institutions that win the next four years will reskill people faster than technology displaces them, because by 2030, capability gaps, not infrastructure gaps, will decide who leads and who is left dependent.
Read the brief14 August 2026
AI Workforce Readiness Begins in the Classroom, Not the Data Centre
Africa cannot lease its AI future from foreign infrastructure. Workforce readiness starts in classrooms and training programmes that build foundational judgement, and the countries that treat curriculum reform as national security will be ready by 2030.
Read the brief7 August 2026
2030 Is Not a Deadline, It Is a Readiness Window Africa Still Controls
Treating 2030 as a single deadline misreads the moment. It is a narrowing readiness window, and Africa still controls whether it enters that window prepared or dependent, the decision is made now, in how institutions invest in people before the pressure arrives.
Read the brief