Tag Archives: Data science

Beyond Automation: AI as the Operating System of Human Civilisation

Dec. 31, 2025 /Mpelembe Media/ — As of 2025, the global economy is projected to reach approximately $115 trillion, even as it faces a staggering $338 trillion in total debt. Within this landscape, artificial intelligence has emerged as the foundational infrastructure of a Fifth Industrial Revolution, with the AI economy expected to contribute over $15.7 trillion to global GDP by 2030. This technological shift is characterized by the rise of AI sovereignty, where control over data and models defines geopolitical power. While automation and AI agents enhance productivity and business valuations, they also present significant risks regarding cybersecurity and the potential erosion of human identity. Ultimately, society faces a critical choice between using these tools to foster human dignity or allowing them to create a future defined by algorithmic surveillance and control. Continue reading

The AI Displacement Dilemma: Nearly Half of Workplace Skills Face Obsolescence by 2025

Dec. 29, 2025 /Mpelembe Media/ — This edX and Workplace Intelligence report examines how artificial intelligence is fundamentally transforming the modern professional landscape. The findings reveal a significant skill gap, as executives anticipate that nearly half of current workforce capabilities will be obsolete by 2025. While leadership believes many roles—including executive positions—could be automated, entry-level staff are particularly vulnerable to displacement. Despite a strong desire among staff to gain AI proficiency, many organisations currently lack the robust training and development frameworks necessary to support this transition. Ultimately, the research suggests that companies must prioritise internal upskilling to retain talent and remain competitive in an increasingly automated economy. Continue reading

28Dec/25

AI Has Altered Entry-Level Technology Hiring

Dec. 25, 2025 /Mpelembe Media/ — Recent graduates from Stanford’s computer science programme are finding it increasingly difficult to secure employment as artificial intelligence transforms the tech industry. Research indicates a significant reduction in entry-level hiring, as companies now prefer using automated tools alongside a small number of experienced developers instead of larger teams of junior staff. This shift has led many students to extend their education in hopes of gaining a competitive edge while waiting for a more favourable market. Beyond workforce displacement, the rise of AI presents environmental challenges due to the immense electricity and water required to power massive data centres. To adapt, experts suggest that universities update their curricula and students focus on complex system design and oversight skills that automation cannot yet replicate. Industry advocates also call for government intervention through retraining programmes to support workers affected by these rapid technological changes. Continue reading

18Dec/25

AI’s Future in Filmmaking: Creativity and Ethics

Artificial intelligence (AI) is transforming global filmmaking by redefining creative roles, accelerating technological adoption, and introducing complex ethical challenges, as debated by industry leaders at the Short Shorts Film Festival & Asia (SSFF & ASIA) international conference. The conference explored how artificial intelligence is changing cinema, noting a significant increase in AI-related film submissions to the festival between 2024 and 2025. Key discussions centred on viewing AI as a creative partner rather than just a technical tool, addressing concerns about ethics and copyright, and sharing an overall optimistic outlook that AI will expand human creativity in filmmaking.  Continue reading

03Dec/25

Google is relying on its own chips for its AI system Gemini. Here’s why that’s a seismic change for the industry

Alaa Mohasseb, University of Portsmouth

For many years, the US company Nvidia shaped the foundations of modern artificial intelligence. Its graphics processing units (GPUs) are a specialised type of computer chip originally designed to handle the processing demands of graphics and animation. But they’re also great for the repetitive calculations required by AI systems.

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29Nov/25

Black Lotus Ventures: The AI-Powered Viral Engine

Black Lotus Ventures, an Atlanta-based AI studio, outlines the successful use of Artificial Intelligence (AI) for content automation and marketing execution. The firm detailed a case study where they transformed an obscure exercise device into a viral product, generating $3.5 million in revenue and over 100 million views in just eight months. This success was achieved through a strategic “Hybrid-AI” framework built upon four central pillars, which included using machine learning for market research and deploying AI avatars to scale user-generated content. A key result highlighted was a single AI-designed video that quickly generated $800,000 in revenue in a 30-day period. Founded by a former Meta product manager, the company suggests this methodology represents a new wave of marketing where AI solutions are used to amplify human ingenuity at scale, offering proven commercial viability across market segments. Continue reading

23Nov/25

Structural Collapse and Consolidation of Enterprise AI Architecture

Nov. 23, 2025 /Mpelembe Media/ — ExperienceBypass™, an advisory firm, announced their new report titled “The Real AI Bubble.” This report, authored by CEO Honorio J. Padron, warns that the AI market faces a structural collapse, arguing the actual bubble is architectural, not financial. The core thesis is that tens of thousands of smaller AI point solution companies will disappear over the next 36 to 48 months as global enterprises consolidate their technology around a few AI Native Platforms (or “AI Factories”) such as NVIDIA and Palantir. This consolidation is driven by the failure of most enterprise AI pilots and a demand for unified architecture, mirroring the standardisation seen in the ERP sector during the 1990s. Padron asserts that non-integrated point solutions lack a place as the AI Enabled Enterprise™ becomes the new operating model, acting as the central nervous system for modern businesses. Continue reading

23Nov/25

Artificial Intelligence Market Outlook 2033: Grand View Research

This is a market research report from Grand View Research whose primary focus  is the global artificial intelligence (AI) market, projecting that it will reach $3.5 trillion by 2033, driven by a 31.5% annual growth rate. The document details key market drivers, such as the integration of AI into consumer wearables and advances in deep learning technology, while also segmenting the market by solutions, technologies, functions, end-use (with healthcare and the Asia Pacific region leading in 2024), and region. The report also includes supplementary information from Grand View Research on related AI markets, such as mobile AI and automotive AI. Continue reading

17Nov/25

Attention Sharing: AI Distraction Detection for Commercial Fleets

 Seeing Machines Limited, an Australian company specialising in computer vision technology for transport safety announced launch of its “attention sharing” feature for the Guardian Generation 3 safety solution, which is marketed to commercial vehicle fleets globally. This world-first feature tracks the cumulative time a driver spends with their eyes off the road, detecting repeated, short glances—a major contributor to crash risk—that other systems often miss. The AI-powered technology continuously monitors eye gaze direction in real time to provide accurate distraction detection and subsequent intervention before safety is compromised. The announcement highlights that the feature is being deployed over-the-air to existing Guardian Gen 3 systems and includes references to supporting scientific studies on driver inattention. Continue reading

06Nov/25

Performativ Unveils Compliant AI Agents for Financial Institutions

Performativ, a technology company, announced the launch of two new offerings: Custom Agents and the AgentKit Builder. These new capabilities are specifically designed to help financial institutions (such as banks and asset managers) safely and compliantly integrate artificial intelligence (AI) agents into their core operations and existing enterprise infrastructure. The solution is built to meet stringent regulatory oversight requirements, including those similar to the European AI Act, by ensuring all agent actions are logged, auditable, permissioned, and have traceability for regulatory review, thus transitioning enterprises from AI experimentation to secure, governed deployment. Continue reading