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Africa presents AI leapfrogging opportunity – Cisco

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Africa’s entrepreneurial workforce and young population can help catalyze an artificial intelligence (AI) leapfrogging opportunity, but this will depend on the continent’s ability to upskill and reskill its labor force.

That is a key takeaway from a recent whitepaper from Cisco and Carnegie Mellon University Africa (CMU-Africa) titled “AI and the Workforce in Africa: Realizing the Region’s Potential Through Public and Private Sector Collaboration.”

The report said the African region holds the world’s largest potential AI workforce, with Africans accounting for 42% of the world’s youth and 75% of the continent’s population under the age of 35 by 2030.

“Young Africans already demonstrate strong tech engagement: 78% report using AI tools weekly, higher than in Europe or the United States,” the report states.

“But much of Africa’s workforce is still rooted in agriculture, informal trade, and service sectors that have not yet seen deep automation. By laying the right foundations, Africa can leapfrog directly into a future of AI-enabled employment, capitalizing on the region’s digital enthusiasm and wave of youth-led entrepreneurship,” it added.

In addition, around 75% of Africa’s youth plan to start a business in the next five years. Nearly 80% of new startups are digital-first and African women are leading the way as new business owners at twice the global average.

Related:Africa faces increased cyberthreats, security skills gap – Cisco

Cisco believes that AI can help these entrepreneurs automate tasks, analyze data, develop new products and reach new markets – but only if the right digital infrastructure and skills systems are in place.

“AI alone isn’t transformative. Real change happens when empowered people can access, trust, learn, and adopt AI technology,” said Francine Katsoudes, Cisco executive vice president and chief people, policy and purpose officer.

“The most profound convergence of human potential and AI is happening in Africa, where a dynamic, young generation is positioned to drive bold innovation,” Katsoudes added.

According to GSMA data, Africa accounts for only 2.5% of the global AI market, which was valued at $16.5 trillion in 2024.

Despite this modest share, recent estimates indicate AI could boost Africa’s economy by $2.9 trillion by 2030, equivalent to an annual gross domestic product (GDP) growth increase of 3%.

“While South Africa, Nigeria, Kenya, and Egypt remain the primary digital powerhouses on the continent due to their more established tech ecosystems, other nations are emerging with specialized AI strengths,” the report said.

Related:The role of African regulatory sandboxes in the age of AI

It highlighted that Rwanda has gained international recognition for its governance-led approach to AI while Mauritius consistently ranks as Africa’s most AI-ready nation, leveraging its digital economy for sector-specific applications in tourism and financial services.

Other countries making strides in AI adoption include Ghana, Tunisia, Morocco, Senegal and Côte d’Ivoire.

The Cisco and CMU-Africa report said that while a growing number of African countries have launched national AI strategies, their success depends on effective implementation, cross-sectoral collaboration and policies that bridge gender, geographic and socio-economic divides.

“To realize the promise of AI-driven growth, African governments, industry, and civil society must pursue a coordinated, phased strategy that builds foundational AI capacity while enabling innovation and responsible governance,” the report said.

Closing the AI skills gap

Despite the rising potential, the continent’s AI talent pool stands at only 5,000 professionals, far short of the 230 million jobs needing digital skills by 2030.

“Africa’s long-standing challenge of brain drain, where an estimated 70,000 skilled professionals leave the continent annually, may find a turning point through AI and the digital economy. With the rise of remote work, African talent can now access global markets without relocating, enabling them to earn foreign income while contributing locally,” the report put forward.

Related:Cisco, CCF train Africans in conservation technology

Katsoudes also pointed out that fewer than 25% of African university students pursue science, technology, engineering and mathematics (STEM) fields, and only 30% of the higher education students in STEM are women.

“The journey to full AI workforce readiness is a steep climb – but the opportunity is now to harness the AI workforce potential,” she said.

The report said Africa’s AI skills gap spans technical expertise, foundational knowledge and hybrid competencies.

“To reap the rewards of AI, the continent must cultivate a workforce capable not only of using AI tools but also of building, adapting, and governing them. On the technical side, demand is increasing for professionals skilled in machine learning, natural language processing, cloud computing, cybersecurity, and data analytics,” the authors said.

The skills challenge also extends beyond the need for high-level technical talent.

The report found that millions of workers across diverse sectors require basic AI literacy with the ability to understand, interact with and derive value from AI-powered systems.

“For instance, farmers need to interpret AI-generated crop forecasts, community health workers must engage with diagnostic chatbots, and logistics professionals rely on predictive analytics to improve efficiency,” the report said.

Smiling young woman talking on mobile phone with laptop in coffee shop.

Earlier this month, the Cisco Networking Academy and the Connected Conservation Foundation (CCF) launched a Protected Area Technician (PAT) Training Program to upskill the next generation of professionals with the necessary skills to set up and maintain a wide range of conservation technologies in Africa.

The Cisco Networking Academy is a global skills-to-jobs program offered by Cisco to provide digital skills training and workforce development through public-private partnerships. 

The Academy has so far empowered 1.6 million learners, including more than 500,000 women.





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Meta reportedly explores using rival AI models to enhance its apps

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Meta is exploring the use of AI models from Google and OpenAI to enhance its apps while advancing its own Llama AI technology.

Meta is reportedly exploring the use of artificial intelligence models developed by competitors, including Google and OpenAI, to improve AI features across its platforms. According to a report by The Information, executives at the Meta Superintelligence Lab have considered integrating Google’s Gemini model into the company’s Meta AI chatbot. The move would enable Meta to offer a more robust, conversational text-based solution for answering user search queries.

The report also indicated that Meta has held discussions about incorporating OpenAI’s technology into Meta AI and its other AI-powered features. These potential collaborations highlight Meta’s effort to strengthen its AI capabilities while continuing to develop its own large language model, Llama.

Strategic partnerships as a temporary measure

A Meta spokesperson stated that the company is taking an “all-of-the-above approach to building the best AI products,” which includes both building in-house solutions and partnering with external organisations. The report noted that while Meta is exploring external technology, the company’s primary goal is to refine and advance its own AI systems. Leveraging competitor models would only be a temporary measure to accelerate innovation and keep pace with rivals in the rapidly evolving AI market.

Meta’s interest in adopting external AI tools comes at a time when competition in generative AI development is intensifying. By accessing technologies from industry leaders such as Google and OpenAI, Meta aims to enhance user experiences on its apps while gaining insights that can help strengthen future iterations of Llama.

Internal AI adoption and recruitment efforts

The Information reported that Meta employees are already using Anthropic’s AI models to support the company’s internal coding assistant. This indicates that Meta has been integrating third-party AI solutions internally even as it invests heavily in its own research and development.

Additionally, Meta has been actively recruiting AI researchers from Google and OpenAI to enhance expertise at its Superintelligence Lab. These recruitment efforts reportedly include highly competitive compensation packages designed to attract top talent from across the AI sector.

As Meta continues to refine its AI strategy, the company’s willingness to work with external partners shows its commitment to creating cutting-edge products. The temporary reliance on competitor models could help Meta accelerate development and maintain a strong position in the AI race.



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Tech expert warns of 'alarming' AI behavior after teen's death – Fox News

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Tech expert warns of ‘alarming’ AI behavior after teen’s death  Fox News



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Is AI turning your travel experience into a costly trap?

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in this case: AI anxiety in travel

in this commentary

  • A look at how travel companies are using AI to automatically bill you for rental car damage, in-room infractions, and higher airfares.
  • An analysis of how these automated systems can make mistakes and why the burden of proof is shifting to the consumer.
  • Actionable strategies you can use to protect yourself from AI-powered price hikes and false damage claims.

Worried about every little ding on your rental car? Do you always go into “anonymous” mode on your web browser before booking airline tickets?

If you do, then you probably have AI anxiety.

Travel companies are quietly deploying artificial intelligence systems, creating an invisible web of automated billing that can cost you hundreds or thousands of dollars—often without your knowledge or consent. From Hertz’s controversial AI vehicle scanners to hotel vapor detectors that fine guests when their hairdryers overheat, to airline pricing algorithms that jack up fares based on your browsing history, these systems operate in the shadows while your wallet takes a hit.

“Technology can make travelers feel powerless,” says Raymond Yorke, a spokesman for Redpoint Travel Protection. “It’s happening now. We’ve seen everything from automated rental car damage claims to a suspicious surge in airfare driven by dynamic pricing algorithms.”

But it doesn’t have to stay that way.

The technology promises efficiency and fairness, but travelers are discovering that AI often acts more like a digital pickpocket than an impartial assistant. The systems flag false positives, make decisions without human oversight, and shift the burden of proof onto customers who have to defend themselves against algorithmic accusations.

Where are the AI traps?

Rentals have become ground zero for AI overreach. Companies like Hertz are using technology from a company called UVeye that can reportedly detect paint inconsistencies and minor damages down to a millimeter level. 

But critics say these systems can’t always distinguish between existing scratches, dirt or lighting changes, and genuine new damage. And car rental companies bill customers automatically, with limited avenues for appeal.

Legal consultant and AI specialist Nicola Cain notes that human intervention only happens when a customer raises a complaint, meaning the AI’s judgment stands unless you fight back. It should be the other way around, she says. 

“Human oversight needs to be built into the process,” she adds.

Hotel chains are installing sophisticated sensor networks that go far beyond traditional smoke detectors. These systems monitor vapor particles, noise levels, occupancy counts, and even Wi-Fi usage patterns. 

The systems are far from perfect. Ruth Cruz recently got hit with a $250 fee for smoking in her hotel room. She says the AI registered a false positive. 



Your voice matters

🖐️ Your voice matters

Have you been hit with a surprise charge you suspect was generated by an automated system? Do you think this technology makes travel more efficient, or is it just a new way for companies to make money?

And what are your best tips for protecting yourself from these AI traps?

Share your thoughts in the comments.

“I successfully disputed the charge by explaining the technical limitations of their detection system,” says Cruz, who edits a technology website in San Jose. (These types of errors are easy to find with a little sleuthing. Hers involved a quick online search.)

Airlines are perfecting the art of AI-powered price manipulation. For years, their systems have tracked your search history, location, device type, loyalty status, and dozens of other signals to predict your willingness to pay premium prices. AI is supercharging that practice.

Thomas O’Shaughnessy, a marketing executive from St. Louis, has noticed prices jumping dramatically when he researches flights. 

“The price increases weren’t random,” he says. “I believe they were caused by an AI model that changes prices based on demand, the time of booking, and even the user’s search history.”

No wonder travelers have AI anxiety. The question is, what can they do about it?

How to fight the AI

“The key to fighting back is understanding that these systems prioritize speed and automation over accuracy,” explains Frank Harrison, regional security director for the Americas at World Travel Protection. “They’re designed to extract maximum revenue while hoping customers won’t challenge algorithmic decisions. But armed with the right documentation and strategies, travelers can level the playing field.”

Here are some strategies that will help you fight AI:

  • Renting a car? Channel your inner Sherlock. Do a comprehensive walk-around and take photos of your car from all angles. Focus on areas AI commonly flags, like bumpers, wheel wells, and roof surfaces. Email these videos to yourself immediately for proof of when they were taken. Document everything—every scratch, every dent, every imperfection—before accepting any rental. And remember, you can always request a different vehicle if the one you’re renting has too many dings or dents.
  • Don’t let ’em track you. Use private browsing or incognito mode when you book flights or hotels. Clear your cookies between searches. Use a VPN (Virtual Private Network) to shift your location. “I’ve seen price differences of $200 or more for the same flight just by appearing to browse from different cities,” says Joey Martin, an AI expert. Also, search for fares on multiple devices and compare prices across platforms. AI pricing algorithms often show different rates to smartphone users versus desktop browsers, or to logged-in loyalty members versus anonymous searchers.
  • Open your hotel window, if possible. Don’t touch anything with a price tag. It’s true, AI is monitoring the air you breathe and the location of every Coke in your minibar. You already know what to do: Don’t touch the items in your minibar and keep your hotel room ventilated. If a surprise bill arrives, respond immediately and assertively. Ask for the original AI scan data, sensor logs, or algorithmic decision records that supposedly justify the charge. Most companies will struggle to provide concrete evidence that withstands scrutiny.

Bear in mind that these strategies will evolve. AI adjusts to consumer behavior, and you’ll have to make some course corrections along the way, too.

This is the start of an AI arms race

In travel, AI is an imperfect technology, registering false positives and erroneously billing consumers. It raises prices by hundreds of dollars per ticket, believing you’ll happily pay extra for your airfare because of your location. What’s more, these systems are a black box, so when you ask for proof that you damaged a car or removed something from a room, they can’t always provide it. 

In short, this is nothing more than a digital money grab, and your AI anxiety is completely justified.

We’re at the beginning of an AI arms race. Travel companies are using machine learning to maximize their revenue. It’s time to fight back.

What happens next? The travel industry is busy deploying AI everywhere. Soon, systems could monitor carry-on luggage to ensure you’re paying for every bag. Hotels could find ways of automatically billing you for every missing towel or bathrobe. Car rental companies could turn their AI resources to car interiors, earning more money from stains or messy upholstery. And don’t even get me started on cruise lines!

Assume AI is tracking your every move — because it probably is.



The AI survival guide: How to fight back against travel’s hidden fees

Rental cars: Document everything

  • Take a detailed video walk-around of the car before you leave the lot.
  • Photograph every existing scratch, dent, and scuff, inside and out.
  • Email the files to yourself immediately to create a timestamped record.

Airfare & hotels: Go undercover

  • Use a VPN to mask your location and avoid geographic price targeting.
  • Always search in your browser’s private or incognito mode.
  • Clear your cookies between searches to prevent tracking.

Hotel rooms: Challenge the charges

  • If you get a surprise fee, immediately demand the evidence.
  • Ask for the specific sensor logs or AI scan data that triggered the charge.
  • Most companies will waive the fee when you challenge them for proof.


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