This week in research: artificial intelligence tools, synthetic data, and B2B market shifts

Explore the week´s market research highlights: artificial intelligence-powered tools, breakthroughs with synthetic data, evolving B2B insights, major merger news, and executive moves shaping the industry.

In the May 16–22, 2025 edition of ´This week in research,´ the market intelligence sector saw a flurry of developments spanning artificial intelligence-powered tools, synthetic data innovations, and strategic movements in the B2B research landscape. Solution providers unveiled new artificial intelligence-driven platforms aimed at enhancing survey and insights gathering efficiency, signaling a rapid shift in how organizations tap into digital transformation for market research.

This period was notable for significant advances in synthetic data and the deployment of digital twins for business-to-business research. Vendors demonstrated how synthetic respondents and agentic personas, generated via large language models, can drive both speed and precision in capturing nuanced buyer insights—substantially reducing cost and cycle time. These breakthroughs point to an accelerating trend: the blending of synthetic populations and basic machine learning into the traditional B2B research toolkit, delivering scalable, high-fidelity data with fewer resource constraints.

Industry shakeups continued with prominent mergers and acquisitions, as organizations consolidated to expand reach and solution portfolios. Leadership appointments at top-tier firms further illustrated evolving corporate strategies in response to digital and artificial intelligence disruption. As global partnerships multiply and digital transformation reshapes data privacy and respondent engagement, staying abreast of these movements—alongside emerging artificial intelligence research tools and synthetic methodologies—is vital for any organization competing in the insights economy. This edition also spotlights expert commentary on the return-on-investment of synthetic audiences, platform updates enabling qualitative research at scale, and ongoing debate around the robustness and transparency of automated B2B insights generation.

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Artificial Intelligence speeds quantum encryption threat timeline

Research from Google and Oratomic suggests quantum computers capable of breaking core internet encryption may arrive sooner than expected. Artificial Intelligence played a key role in improving one of the new algorithms, raising fresh urgency around post-quantum security.

New methods aim to improve Large Language Model reasoning

A new study on arXiv outlines algorithmic techniques designed to strengthen Large Language Model reasoning and reduce hallucinations. The work reports better logical consistency and stronger performance on mathematical and coding benchmarks.

Nvidia acquisition of SchedMD raises Slurm neutrality concerns

Nvidia’s purchase of SchedMD has given it control of Slurm, an open-source scheduler that sits at the center of many supercomputing and large-model training systems. Researchers and engineers are watching for signs that support could tilt toward Nvidia hardware over AMD and Intel alternatives.

Mustafa Suleyman says Artificial Intelligence compute growth is still accelerating

Mustafa Suleyman argues that Artificial Intelligence development is being propelled by simultaneous advances in chips, memory, networking, and software efficiency rather than nearing a hard limit. He contends that rising compute capacity and falling deployment costs will push systems beyond chatbots toward more capable agents.

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