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Data centers are the buildings full of computers where the internet lives, supporting everything from photos and social media to AI chatbots, and they now drive huge power and water use because each AI query requires supercomputer-class computation and generates massive heat that needs evaporative cooling.

They already consume about 5% of US power generation, with projections of 15% by 2030 and 50% by 2040, while offering relatively few long-term jobs for communities and sometimes operating under non-disclosure agreements.

Because fiber-optic networks allow data to cross the country in milliseconds, these facilities can be sited in industrial areas with proper power and networking, made more grid-friendly through flexible workloads and adjacent energy stations that use excess renewable energy and shave peak loads, and required to transparently cover their full lifetime infrastructure costs.

https://news.uchicago.edu/story/what-are-data-centers-and-why-do-they-need-so-much-power-expert-explains

Missouri State University is building a pool of adjunct/per course faculty to teach mid- to upper-level Computer Science courses on the Springfield Campus for the Spring 2027 semester (starting January 11, 2027), requiring a master’s degree or equivalent professional experience; candidates must hold office hours, submit grades on schedule, and demonstrate classroom lecture skills. Applications are accepted through January 26, 2027

https://jobs.missouristate.edu/postings/88533

A University of Illinois English professor’s new book draws on interviews with more than 100 AI and machine learning researchers to cut through sensational claims about job loss, existential threats, or miracle cures, instead highlighting the everyday reality of building practical tools such as GPS navigation and email spam filters through iterative math, modeling, and revision. The work shows that much of the surrounding hype stems from intense competitive pressures to publish rapidly at conferences and promote results across social media and other platforms, which can encourage overstatement and underplay of limitations like the alignment problem—when systems produce unintended harmful outcomes from flawed training data. To counter this, the book recommends framing AI as targeted automation for specific needs, training researchers to explain technical details clearly to nonexperts, adjusting academic incentives toward quality over quantity, and directing the public toward researchers’ own technical explanations rather than business or media spin.

https://www.barnesandnoble.com/w/ai-through-the-experts-eyes-john-r-gallagher/1148351867?ean=9780822968047

The University of Houston is seeking a tenure-track Assistant Professor in programming languages, compilers, operating systems, computer architecture, or high-performance computing, with an expected start date of September 1, 2027. Candidates should have a doctorate by the start date, a strong research record and funding potential, and a commitment to teaching and mentoring; applications require a cover letter, CV, research and teaching statements, and three references.
https://careers.uh.edu/jobs/assistant-professor-programming-languages-compilers-and-computer-systems-houston-texas-united-states

Tuhin Chakrabarty, a Stony Brook University computer science assistant professor who combines literary background with technical expertise, researches generative AI’s impacts on creative labor, human authorship, copyright and the publishing market, finding that AI-generated books are increasingly dominating bestseller rankings and crowding out human creators. His CREATE research group focuses on untangling the labor, economic and accountability dynamics of AI-driven creativity, with the goal of developing equitable regulations and building responsible AI systems that center human creativity, ownership and agency.

https://news.stonybrook.edu/computer-science/as-ai-learns-to-write-tuhin-chakrabarty-studies-what-humans-stand-to-lose/