AI Outpacing Human Creativity, USMC Adopts GenAI, and a $1.8B Quantum Acquisition: Jan 2026 Tech Digest

January 2026 is shaping up to be a pivotal month in technology, with major strides in artificial intelligence, military tech adoption, and the quantum computing industry. This digest covers groundbreaking news, from a study showing Generative AI outperforming human creativity to the U.S. Marine Corps standardizing its official AI platform and a landmark $1.8 billion acquisition set to reshape the quantum landscape. Study Finds Generative AI More Creative Than the Average Human A recent study comparing over 100,000 humans to advanced AI systems like GPT-4 has found that generative AI can now outperform the average person on certain creativity tests. The research, led by the Université de Montréal, focused on divergent thinking and idea generation. While AI models demonstrated strong performance, the study also highlighted that the most creative humans, particularly those in the top 10%, still significantly outperform the best AI systems. The study utilized the Divergent Association Task (DAT) to measure the ability to generate semantically distant ideas. Researchers also found that AI’s creativity could be significantly influenced by adjusting parameters like ’temperature’ and through specific prompting techniques. ...

January 26, 2026 · 4 min · 815 words · Omer

GenAI Enterprise Failure Rate Hits 95%, Oracle & Google Partner on Gemini | AI News August 19, 2025

MIT Report: 95% of Enterprise GenAI Projects Fail to Deliver ROI A new report from MIT’s NANDA initiative reveals that a staggering 95% of enterprise generative AI pilot programs are failing to produce a significant return on investment. Despite investments totaling between $35 and $40 billion in the US, only 5% of organizations have successfully deployed AI tools into production at scale. The report, titled “The GenAI Divide: State of AI in Business 2025,” is based on interviews with enterprise leaders, analysis of public AI initiatives, and a survey of business professionals. The primary reasons for failure are not a lack of infrastructure or talent, but rather the inability of AI systems to retain data, adapt, and learn over time. The study also found that purchasing AI tools from vendors and forming partnerships has a significantly higher success rate than in-house development. ...

August 19, 2025 · 5 min · 911 words · Omer