This Week's Top Five Stories in AI

Why Gartner Names Google, Microsoft and OpenAI as AI Leaders

Competition within the AI sector is growing more and more.

This is driven by the potential for significant economic gains, rapid technological innovation, wider AI adoption and the strategic need for companies to establish a competitive advantage.

A new report from Gartner offers a detailed breakdown of the companies influencing the direction and potential of the AI vendor market.

The research assesses almost 30 AI technology segments to identify what Gartner has termed the “Companies to Beat”. They include, Google, Microsoft, OpenAI and Palo Alto Networks. 

These are the organisations that are setting benchmarks across critical areas, including data infrastructure model innovation, cybersecurity, enterprise solutions and industry-specific AI applications.

Is Generative Engine Optimisation set to Eclipse SEO?

Generative engine optimisation (GEO) is emerging as the new standard for digital visibility and looks poised to overtake traditional search engine optimisation (SEO) in 2026.

That's according to LinkedIn's Big Ideas 26 list, which spotlights the big ideas set to define the next 12 months. 

As AI-driven tools such as chatbots, agentic workflows and answer engines become dominant, brands are rethinking how they get discovered. Instead of focusing on Google search rankings, marketers now aim to appear in AI-generated outputs.

Michael King, Founder and CEO of digital marketing agency iPullRank, is already seeing the shift – even as some resist.

"The SEO industry is being pulled reluctantly into the GEO era," he tells LinkedIn News. 

Inside Meta's Groundbreaking Acquisition of Manus

Meta is off to a hot start in 2026, acquiring Manus – a developer of autonomous AI systems – in a deal valued at more than US$2bn.

The deal represents one of Meta’s largest AI-focused moves, reflecting a broader shift across the sector from foundation model development to software agents capable of delivering commercial results.

Sources close to the agreement say that Meta values Manus at around four times its US$500m valuation from April 2025, when the company secured funding led by investment firm Benchmark.

This positions Manus as a key part of Meta’s plan to embed intelligent agents directly into products used by both consumers and businesses.

Why OpenAI is Betting Big on the Audio AI Revolution

OpenAI is consolidating its engineering firepower around a bold bet: that the future of artificial intelligence is audible.

The company has spent the past two months unifying several engineering, product and research teams to overhaul its audio models, according to a report from The Information. It appears the end goal is an audio-first personal device expected to launch in around 12 months' time. 

Clearly, OpenAI envisions an era where voice interaction takes centre stage. With smart speakers already present in more than a third of US homes and tech giants like Meta and Google racing to perfect their audio interfaces, the question is whether such enormous investment will be justified. 

Armanino: How AI Helps Manufacturers Strengthen Supply

As tariff uncertainty persists, manufacturers are being forced to strike a careful balance. Operational efficiency must be maintained while exposure to disruption is reduced, yet stockpiling inventory or overordering ties up cash and slows production. 

AI is emerging as a critical tool in strengthening just-in-time supply chains. By combining historical data with real-time intelligence on pricing, geopolitics and supplier performance, AI enables manufacturers to make more precise decisions on what to order, when to order it and how to deploy resources across the supply chain.

Ultimately, the objective is to replace instinct-led decisions with data-driven clarity and respond strategically rather than react to the latest tariff headline.

In this Q&A, Bryan Graiff, M&D Midwest Industry Leader, and Amy Julian, Strategy and Transformation Partner at Armanino, detail how AI is reshaping inventory models and translating insight into ROI through improved forecasting, tighter cost control and more resilient planning.