According to God of Prompt on Twitter, an MIT-controlled experiment involving 1,900 participants has demonstrated that upgrading an AI model accounts for only half of the possible performance gains, while the other half depends on how the AI is prompted (source: God of Prompt, Twitter, Jan 23, 2026). This finding challenges the industry narrative that simply switching to a superior model guarantees optimal outcomes. The research underscores the critical business opportunity in developing prompt engineering strategies, tools, and training. Enterprises seeking to maximize AI ROI must prioritize both model selection and advanced prompt optimization techniques to achieve competitive advantage.

According to The Rundown AI, MIT research indicates that artificial intelligence is currently capable of handling 12% of all job tasks, highlighting a major opportunity for businesses to automate routine work and boost productivity (source: tech.therundown.ai). In another significant development, Alibaba has introduced AI-powered smart glasses designed to rival Meta's wearable technology, signaling increased competition and innovation in the global AI wearable market (source: tech.therundown.ai). Meanwhile, Apple is poised to surpass Samsung as the leading smartphone manufacturer, driven by its continued investment in AI features for mobile devices (source: tech.therundown.ai). These advancements underscore a rapid acceleration in AI-powered products and applications, creating significant business opportunities in automation, wearables, and mobile AI integration.