Financial, Economic, and Social Transformation through Artificial Intelligence — a reimagined programme that transcends journalism to equip any professional with the intelligence tools of the next decade.
AI already produces faster financial summaries than most journalists. Traditional media pay poorly and are shedding staff. The profession attracts fewer entrants each year. The programme must serve a far wider ambition.
Financial literacy, ESG intelligence, data storytelling, and AI fluency are skills every sector desperately needs — from civil society to corporate boardrooms, fintech startups to government policy units.
Pan-Atlantic University's Lagos Business School is uniquely positioned to anchor an African-rooted, globally competitive programme that combines Bloomberg's data infrastructure with LBS's business and policy expertise.
The original Bloomberg FJT programme was visionary in 2015. The world has changed dramatically. A programme designed today must reckon with the collapse of traditional media economics, the rise of generative AI, and the explosive demand for data-literate professionals across every sector.
Expected decline in news website traffic over three years, according to a 2025 Reuters Institute survey of 280+ media executives across 51 countries — a devastating blow to traditional journalism business models.
Share of media leaders who say they are confident about journalism's future — a staggering 22 percentage-point drop in four years. The profession is contracting, not expanding.
BMIA FJT graduates across Africa since 2015. The pipeline of journalism-specific talent is valuable but narrow. The next wave of impact comes from opening the model to a vastly broader audience.
Generative AI can already produce financial summaries, data analysis, and routine reporting faster than human journalists. The competitive edge for humans lies in sense-making, investigation, entrepreneurship, and governance.
Environmental, Social, and Governance intelligence is the fastest-growing professional skill demand in corporate Africa — yet almost no executive programme integrates it with AI tools and data journalism methods.
No African executive programme currently integrates financial literacy + economic analysis + social/governance intelligence + AI tool fluency + entrepreneurial skills into a single, accessible curriculum.
Every design choice in this curriculum is governed by principles derived from the convergence of journalism innovation research, Africa-specific context, and the realities of the AI era.
Content is designed for professionals without prior journalism training. A banker, a civil servant, a policy analyst, a startup founder — all should find immediate applicability in every module.
Every module embeds hands-on AI tool practice. Participants leave each session having used — not just heard about — tools like Bloomberg Terminal, GPT-4, Perplexity, Python for data, and sector-specific AI platforms.
Participants simultaneously develop skills to excel within organisations AND to build independent ventures. The programme explicitly teaches content entrepreneurship, data product creation, and consultancy models.
Financial, Economic, Social, and Environmental/Governance content is woven throughout — not siloed. This reflects how African markets actually work: political economy, climate risk, and governance are inseparable from financial analysis.
Case studies, data sources, regulatory frameworks, and market examples draw from Nigeria, Kenya, Ghana, South Africa, and the broader continent. Bloomberg data infrastructure is applied to African market intelligence questions.
Every module concludes with a "value creation" exercise: how does this knowledge generate income? Participants map concrete professional applications — consultancy, freelance, product, employment — before leaving each block.
A radically expanded successor to the Bloomberg FJT curriculum — designed for professionals who want to understand, analyse, communicate, and profit from the forces shaping Africa's economy.
Deepen financial analysis and AI tool command
Add storytelling, ESG, and AI analytics to their toolkit
Understand data-driven governance and public communication
Build advocacy intelligence and impact reporting capacity
Build data products, content ventures, and ESG advisory practices
Translate complex research into public and policy impact
Add financial intelligence and AI content creation to PR/comms
Integrate data literacy into impact measurement and reporting
Filter by pillar to explore the curriculum. Each module is a 2–3 day intensive study block combining lectures, Bloomberg Terminal practicals, AI tool labs, and capstone exercises.
The foundational financial literacy module. Participants decode how capital markets, banking systems, exchange rates, inflation, and fiscal policy interact to shape African economic outcomes — using Bloomberg Terminal as the primary analytical workspace throughout.
Macro and microeconomic analysis for non-economists. Participants learn to extract economic signals from data, interpret GDP, trade, investment flows, and sector dynamics — and translate these into insight products: briefs, dashboards, and strategic recommendations.
The 'S' in ESG. Participants learn to analyse and communicate inequality, poverty, gender, health, education, and human development data — connecting social conditions to market dynamics, investment risk, and policy outcomes across African contexts.
Climate change is the defining economic variable of the next century for Africa. This module builds capacity to analyse climate risk, energy transition, green finance, and carbon markets — and to communicate these realities to investors, governments, and publics.
The 'G' in ESG. This module equips participants to analyse corporate governance, anti-corruption, regulatory environments, public finance management, and political economy — tools for journalists, advisors, investors, and policy professionals alike.
The dedicated AI module. Participants develop hands-on fluency with the AI tools transforming professional practice: from large language models and data analysis platforms to AI-powered research, visualisation, and content production. Critical evaluation of AI outputs is central.
The translation module. Participants learn to transform complex data and analysis into compelling, accurate, and actionable communications — for public audiences, corporate boards, investors, and policy makers — across multiple formats and platforms.
The capstone entrepreneurship module. Participants design and pitch a viable intelligence venture or professional practice — a newsletter, data consultancy, ESG advisory, research service, or content platform — built on the skills acquired throughout the programme.
Select your audience profile, programme duration, and priority pillars to generate a customised FEAST-AI schedule. This replicates the Shiny application logic embedded in the Quarto document.
FEAST-AI is designed for flexible delivery to maximise access across Africa's diverse professional contexts.
Every FEAST-AI graduate exits with both employment-ready and venture-ready capabilities.
Produce Bloomberg-grade financial analysis reports for media, corporate, or investor audiences using AI-augmented workflows.
Qualify for sustainability analyst, ESG communications, and impact reporting positions — one of Africa's fastest-growing professional categories.
Produce data-driven policy briefs, budget analyses, and governance reports for government ministries, legislative bodies, and multilaterals.
Integrate AI tools into any professional context — from newsrooms to boardrooms — with critical awareness of risks and editorial standards.
Launch a subscription intelligence product targeting business professionals, investors, or policymakers — Africa's fastest-growing independent media format.
Offer financial, economic, or ESG research services to corporates, NGOs, development banks, and government clients on a retainer or project basis.
Build and licence proprietary data intelligence dashboards for sector-specific clients — from energy companies to agricultural value chains.
Deliver financial literacy, ESG, and AI training to organisations — becoming part of Africa's growing ecosystem of specialist executive educators.
Lagos Business School sits at a unique intersection: a globally accredited African business school with deep connections to Nigeria's financial, corporate, and policy elite — and a demonstrated commitment to executive education that drives continental impact.
A phased approach to developing and launching FEAST-AI at LBS, aligned with the Bloomberg RFP process and Strathmore consortium coordination.
Submit expanded FEAST-AI proposal to Bloomberg/Strathmore RFP process. Convene LBS faculty team (Bongo Adi + SMC colleagues). Consultation call with Strathmore Secretariat to align on scope and budget.
Full curriculum design, case study development, AI tool integration planning. Faculty training workshop in Nairobi (as per Bloomberg FJT tradition). Bloomberg Terminal access agreement and data licensing.
Open applications to the expanded target audience — beyond journalists. Partnership outreach to corporate, NGO, and government institutions for cohort nominations. Selection and onboarding of 40–60 participants.
Seven study blocks over 6–8 months. Each block is 2–3 days in Lagos (LBS Ajah campus). Bloomberg Terminal lab, AI tool workshops, and guest practitioner sessions embedded throughout.
Graduation ceremony and capstone venture pitches. Launch of FEAST-AI alumni network. Evaluation and impact documentation for Bloomberg Philanthropies. Planning for Cohort 2 expansion and potential pan-African replication.