What happened
Betsy Cohen, co-founder of Cohen Circle LLC, said on Bloomberg TV that blank-check companies are again serving as a path to public markets for startups tied to the AI-data center build-out, per Bloomberg reporting. The coverage notes that some tech firms focused on powering data centers or building faster, more powerful quantum computers see SPACs as an alternative to traditional initial public offerings, Bloomberg reported. According to SPAC Research data cited by Insurance Journal, SPAC mergers reached an all-time high of 199 in 2021, declined to 43 in 2025, and as of mid-2026 20 mergers have closed this year with 110 more pending.
Editorial analysis - legal and market context
Reporting includes commentary from Anna Pinedo, a partner at Mayer Brown, who said changes at the US Securities and Exchange Commission will benefit SPAC transactions, as reported by Insurance Journal. Christine McNerney, a portfolio manager at Periscope Capital, told Bloomberg that SPAC sponsors and investors have become more disciplined compared with 2021, saying credibility now matters more than hype.
Industry context
Industry-pattern observations: Companies with outsized capital needs, such as large-scale data centers, infrastructure providers, and next-generation compute projects, have historically sought alternative capital structures; public coverage frames the current SPAC rebound as part of that broader financing pattern for capital-intensive sectors. Observers of the SPAC cycle frequently point to regulatory clarity and sponsor track records as key determinants of market depth and investor appetite.
What to watch
Watch SPAC pipeline metrics from SPAC Research and regulatory guidance from the US Securities and Exchange Commission for signals about deal flow and structure. Also monitor sponsor reputation and announced PIPE (private investment in public equity) commitments in upcoming transactions, since reporting highlights sponsor discipline as a market stabilizer.
Scoring Rationale #
This story covers capital-market mechanisms for AI infrastructure financing, useful context for practitioners tracking how data-center build-outs are funded but indirect to technical AI/DS/ML practice. The narrative is trend-level with limited new data; score pulled from 6.9 to 6.0.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.