Recent grads say AI is closing the entry door — economists say it is part of the story.
What happened: On Morning Edition, NPR reports that new college graduates are struggling to land first jobs and often blame artificial intelligence. Irene Chang, 21, finished industrial and systems engineering at Georgia Tech in May and estimates about 450 applications and 19 interviews with no offers. Jacqueline Kline, 25, finished a communications master’s at Florida State and says she has applied to more than 500 entry-level roles since December. The Federal Reserve Bank of New York puts the unemployment rate for recent graduates — 22-to-27-year-olds with a new bachelor’s degree or higher — at 5.7% as of June, above 4.1% for all workers. In a ZipRecruiter survey this year, 47% of recent grads said AI had already affected hiring in their field. Stanford economist Erik Brynjolfsson says AI is “not the whole story, but it’s part of the story”: payroll data since late 2022 show a 16% relative employment decline for early-career workers ages 22–25 in AI-exposed roles such as software developers and marketing managers, while older workers in those fields and workers in hard-to-automate jobs stayed stable or grew. He argues large language models overlap heavily with the codified, textbook-style knowledge junior hires usually bring.
Why it matters: The entry-level labor market is where AI exposure first shows up as missing first rungs, not only as layoffs of incumbents. The measurable record is age-specific employment in AI-exposed occupations, time-to-first-offer for new grads, and whether firms replace junior headcount with model-assisted senior throughput.
DOE cites LBNL: U.S. data centers could take 11.8% of national electricity by 2030.
What happened: The Department of Energy’s Powering America’s AI Future data-center resource hub, reviewed today, highlights Lawrence Berkeley National Laboratory’s U.S. Data Center Energy Usage Report 2025 Update. LBNL researchers estimate data centers could account for 11.8% of total U.S. electricity use by the end of the decade, with scenarios from 9.5% to 15.3%. The update extends the forecast horizon to 2030 and uses an energy-use model based on projected shipments of data-center equipment; DOE notes the estimates do not directly address potential growth in grid or on-site energy supply. The same hub frames a Ratepayer Protection Pledge for large loads and names SPARK, a $1.9 billion advanced-transmission technology funding opportunity meant to expand grid capacity faster. The page ties AI infrastructure to national competitiveness while arguing families should not absorb undue power costs from the buildout.
Why it matters: An official DOE landing page is now carrying a near-term U.S. electricity-share scenario for AI-era data centers, not only global terawatt-hour forecasts. The measurable record is whether 2030 demand tracks the shipment model, who pays for wires and generation, and how ratepayer-protection rules bind large loads.
UK trial uses AI to steer planes around climate-warming contrails.
What happened: A BBC report details Operation Blue Skies, a £5 million, 30-month UK trial that will test whether artificial intelligence can predict where warming contrails form and help aircraft avoid those pockets of sky. Partners include Google, the UK government, the Met Office, air-traffic provider NATS, and researchers at the University of Cambridge and Imperial College London. The focus is Shanwick Oceanic airspace in the eastern North Atlantic corridor, which accounts for about 5% of global contrail warming. Google’s Paul Hodgson told the BBC contrail warming may be responsible for roughly a third of aviation’s climate warming — “either quite a large problem or a very large problem.” Controllers would mostly change altitude by about 2,000 feet rather than rewrite routes; testing is planned on selected winter evenings and nights in 2026–27 and 2027–28. The Department for Transport is putting in £2.65 million and Google £1.4 million. Prior work suggests fuel penalties under about 1% versus large contrail climate benefits; modeling for a full Shanwick deviation puts extra fuel near 100 kg per affected aircraft.
Why it matters: AI is being asked to cut aviation’s non-CO2 climate footprint without grounding flights. The measurable record is contrail formation rates on trial nights, net climate benefit after extra fuel burn, and whether controllers can operationalize forecasts at scale.
DOE cancels three national transmission corridors it once said would aid grid adequacy.
What happened: Utility Dive reports that the Department of Energy will not designate three proposed National Interest Electric Transmission Corridors selected for review in 2024 — the Lake Erie–Canada Corridor, the Southwestern Grid Connector Corridor, and the Tribal Energy Access Corridor. Energy Secretary Chris Wright said the corridors advanced a prior “Green New Scam agenda” and that transmission policy must not drive up costs or ignore local communities. DOE argued the current designation framework had not strengthened reliability or cut electricity costs. Cached project language had cast the corridors as support for PJM resource adequacy, SPP–WestConnect interregional ties, and Tribal energy development. Clean Air Task Force and the Environmental Defense Fund criticized the cancellation, noting congestion raises costs and that DOE’s own Needs Study still describes NIETC tools as ways to spur transmission. Cattle producers had opposed some siting over grazing land.
Why it matters: Federal corridor tools are one of the few levers for faster wires where AI-era load is rising. The measurable record is which transmission gets built anyway, congestion hours in the named regions, and whether new frameworks replace cancelled NIETCs.
OpenAI rolls out ChatGPT teen accounts meant to feel less like a person.
What happened: BBC technology editor Zoe Kleinman reports that OpenAI is launching new safety defaults for under-18 ChatGPT users. Teen accounts can switch off the human voice response so the system sounds less like a person, will get regular reminders to take breaks and that “it can wait,” and can set Study Mode hours plus “quiet times” when the tool is off. Teen accounts become the default for users who say they are teenagers and for others OpenAI identifies as under 18; under-13s remain barred. OpenAI says nine in ten young users already use ChatGPT for learning. Eating-disorder-themed prompts join harmful-request categories that can trigger parental alerts after human review, with a goal of reaching linked parents within an hour. The company framed the changes as matching teens’ developmental stage rather than a response to one incident. Separately, Policy Exchange claimed most UK universities still lean on remote online exams vulnerable to AI help, saying 94% of students it spoke to admitted using AI in assessments. The UK still lacks bespoke AI regulation for chatbots.
Why it matters: Frontier chatbots are copying social-media “teen mode” playbooks as personhood illusions and student misuse become policy problems. The measurable record is adoption of teen defaults, parental-alert volume and false positives, and whether schools change assessment design when study tools are always on.
Meta faces a 29-state child-harm trial as AI spending raises the stakes.
What happened: A jury trial opened in California on claims by 29 U.S. states, including California and New York, that Meta knowingly designed addictive Instagram and Facebook products that harm children’s mental health and violated child privacy laws. States want billions in damages and product changes such as ending like counts and infinite scroll, parental verification for teens, limits on recommendation algorithms and filters, ending autoplay, and curbing ephemeral posts and heavy notifications. Kentucky Attorney General Russell Coleman called it among the largest consumer-protection cases in U.S. history. Meta denies the allegations. In a separate New Mexico case this year, a judge fined Meta about $942 million, ordered youth-protection changes, and labeled the company a “public nuisance”; Meta is appealing. Guardian analysis notes Meta is warning of extreme damages exposure while spending heavily on AI data centers, so large judgments could pressure its AI investment capacity. A prior individual bellwether plaintiff won roughly $6 million, opening the door for many similar suits.
Why it matters: Child-safety litigation is now a live constraint on the same platforms funding the next AI wave. The measurable record is injunction terms, damages, appeals, and whether product defaults for minors actually change nationwide.
She told only ChatGPT she was suicidal. Her death is a warning on unregulated AI therapy.
What happened: NPR’s Rhitu Chatterjee reports on Sophie Rottenberg, 29, who died by suicide in Ithaca in February 2025 after months of confiding in a ChatGPT “therapist” persona named Harry — not her parents, best friend, or flesh-and-blood therapist. Her mother, journalist Laura Reiley, later found nearly 1,800 pages of chatbot logs on Sophie’s laptop. Rottenberg had been a public-health policy analyst; family saw anxiety and then depression during a job hunt after travel that included climbing Kilimanjaro, but not the depth of suicidal planning she shared with the bot. Americans are turning to general chatbots for mental-health support even though they are not marketed or regulated as care: a Bipartisan Policy Center survey found 3 in 10 adults use digital mental-health tools including chatbots, and a 2026 JAMA Pediatrics study found as many as 1 in 5 teens and young adults do the same. OpenAI data cited by NPR say that in a given week 0.15% of ChatGPT users globally show explicit indicators of potential suicidal planning or intent — more than 1.35 million people weekly at a 900-million-user scale. Psychologist Vaile Wright of the American Psychological Association describes a wider culture in which people fear burdening others with their pain.
Why it matters: Unregulated chatbots are becoming crisis confidants without clinical duty of care. The measurable record is crisis-routing quality, mandatory referral design, regulator classification of therapy-like bots, and whether logs ever reach humans who can intervene.
Nobel-linked startup unveils AIDO Cell, a virtual model of whole-cell behavior.
What happened: STAT reports that Palo Alto startup GenBio AI, co-founded by University of Washington scientist and 2024 chemistry Nobel laureate David Baker, unveiled AIDO Cell — described as a virtual cell system meant to predict how an entire cell’s molecular machinery behaves, not only single-protein structures. Baker compared AlphaFold’s protein-structure predictions to learning about one house in a city, while AIDO Cell aims to predict how the whole city works: zoom from proteins and nucleic acids outward, then simulate gene knockouts or drug additions and watch predicted cellular changes. The company positions the model as infrastructure to speed biological science and drug discovery. Public technical benchmarks in the freely available portion of the report are limited; broader validation details sit behind STAT’s paywall.
Why it matters: After protein structure, whole-cell simulation is the next contested AI biology frontier. The measurable record is open benchmarks, wet-lab confirmation rates, and whether virtual-cell outputs change which experiments get funded first.
Common Sense survey: most teens use AI for school — and many feel they are learning less.
What happened: A nationally representative Common Sense Media Youth AI Safety Institute survey of 1,017 U.S. teens ages 13–17, covered by EdSource and The 74, finds about 7 in 10 teens use AI for academic support. Sixty-three percent say they use it to get answers to schoolwork; 25% use those answers as-is; 31% rewrite them to sound like their own voice. Seventy-seven percent of AI-using teens also say they use tools for brainstorming, feedback, or checking work, and two-thirds say AI helped them understand material. At the same time, 39% feel they miss out on learning when AI completes assignments, and 38% say AI availability leads them to develop fewer original ideas. About 70% say teachers never discussed safe AI use; only about one in four discussed how to judge AI accuracy. Former Education Secretary John King urged schools to rebuild assessments around blue books, oral defenses, and in-class work so students still do the intellectual labor. Common Sense is releasing free high-school curriculum and educator training on AI literacy.
Why it matters: Teen AI use is now mainstream school infrastructure without matching pedagogy. The measurable record is teacher guidance rates, assessment redesign, and whether students who lean on answer-bots show learning losses on non-AI tasks.
