The Download: AI remedy, and how AI is improving soccer tactics

AI in Drug Discovery: From Cat Photos to Lung Disease Treatments

Alex Zhavoronkov initially used AI over a decade ago to identify cats in photos. His company, Insilico Medication, has now developed what it describes as the first 'pretty AI drug' designed to treat a deadly lung condition. This represents a significant evolution in applying AI to one of humanity's oldest challenges: finding cures for terrible diseases.

While popular AI applications today focus on generating images or answering questions, a growing sector uses machine learning to dream up novel molecular structures that could become effective medicines. The core problem remains unchanged – the complexity of biological systems and the difficulty of predicting how chemical compounds interact with human physiology – but the tools available to researchers have transformed. AI systems can now analyse vast datasets of molecular interactions, predict potential drug candidates, and accelerate early drug discovery that traditionally took years.

For African markets, particularly Nigeria with its growing pharmaceutical sector and healthcare challenges, this trend has important implications. As AI reduces the time and cost associated with early drug development, it could make treatments for locally prevalent conditions more accessible. Nigerian healthcare providers and procurement departments should monitor these developments, as AI-discovered drugs may soon enter global supply chains, affecting tender specifications, pricing models, and availability of medicines in public health programmes.

The commercialisation of AI-discovered drugs also raises questions about intellectual property, pricing strategies, and market access – all relevant considerations for Nigerian businesses involved in healthcare distribution, pharmaceutical manufacturing, or health technology procurement.

TacticAI: How Google DeepMind is Changing Soccer Strategy

Google DeepMind's TacticAI system analysed 7,176 corner kicks taken by Liverpool FC players to generate insights that could surpass even expert club coaches' suggestions. This reveals broader principles about how artificial intelligence is enhancing human expertise in competitive environments.

TacticAI combines predictive and generative AI models to examine every corner kick scenario – player positioning, ball trajectory, defensive formations – and generate both recommendations and predicted outcomes. This approach moves beyond simple data analysis to create actionable intelligence that coaches can implement immediately during matches.

The implications extend well beyond football pitches. This exemplifies how AI is being used to augment human decision-making in complex, dynamic situations where split-second judgments matter. Similar principles apply to business strategy, military planning, financial trading, and emergency response – all areas where Nigerian organisations operate.

For Nigerian businesses, this highlights the growing value of AI as a decision-support tool rather than a replacement for human expertise. Companies in sectors like retail, logistics, and financial services could adapt similar AI approaches to optimise supply chain routes, predict consumer behaviour during peak shopping periods, or improve bid strategies for government tenders. The key insight is that AI excels at pattern recognition in large datasets, while humans remain essential for contextual understanding and ethical judgment.

As e-commerce continues to grow in Nigeria, particularly during major shopping events like Black Friday or holiday seasons, AI systems that analyse historical sales data, website traffic patterns, and inventory levels could help businesses optimise promotions, stock levels, and delivery logistics – much like TacticAI optimises corner kick strategies.

The Broader AI Landscape: Trends Affecting Nigerian Markets

Chinese social media platforms WeChat and Douyin have begun cracking down on influencers promoting AI lessons, reflecting growing concerns about misinformation and exploitation of public anxiety regarding AI's impact on livelihoods. This mirrors global debates about AI literacy and the need for credible information sources – particularly important in markets where digital literacy varies widely.

Other notable developments include Microsoft hiring DeepMind co-founder Mustafa Suleyman to lead its consumer AI division, Saudi Arabia's $40 billion AI investment fund, and warnings about the impending arrival of dynamic pricing models inspired by Uber's surge pricing. For Nigerian shoppers, the prospect of dynamic pricing – where prices fluctuate based on demand, time of day, or individual user profiles – represents a significant shift from traditional fixed pricing models.

In the e-commerce space, Nigerian consumers may soon encounter AI-driven personalisation that goes beyond simple product recommendations to include real-time price adjustments, personalised promotions, and predictive restocking alerts. While this could enhance shopping experiences through greater relevance, it also raises concerns about price discrimination, transparency, and consumer trust – issues that Nigerian consumer protection agencies and businesses alike will need to address.

For Nigerian businesses participating in government tenders or corporate procurement, understanding these AI trends is increasingly crucial. Bid evaluation systems may themselves use AI to assess proposals, while suppliers will need to demonstrate how their products or services incorporate or complement AI technologies to remain competitive. The ability to navigate this evolving landscape could become a key differentiator in winning contracts.

What this means

The dual narrative of AI discovering potential lung disease treatments and optimizing soccer tactics illustrates a fundamental truth about artificial intelligence: its greatest near-term value lies not in replacing human judgment, but in enhancing it through data-driven insights that would be impossible to uncover manually. For Nigerian consumers, this means more personalised (though potentially more complex) shopping experiences. For Nigerian businesses, it means new tools to improve efficiency, predict market trends, and compete effectively in both local and global markets. As AI continues to evolve from experimental novelty to commercial necessity, the organisations and individuals who understand how to leverage these tools wisely – while remaining vigilant about their limitations and societal impacts – will be best positioned to thrive in the coming years. The key is not to fear AI's advancement, but to understand its practical applications well enough to harness its benefits while mitigating its risks.