AI & Careers Briefing — September 16, 2026

Three separate stories today land on the same uncomfortable point: the AI promises being made to workers mostly arrive unverified. A tracker of dead AI products puts a number on how often corporate initiatives get abandoned. A Gallup poll shows most Americans don't believe the jobs case for the data center being pitched to their neighborhood. And reporting from Capitol Hill is a reminder that the people writing rules about AI — and, by extension, the people writing job descriptions about it — frequently haven't used it. In each case the reasonable response isn't cynicism. It's asking for the specific thing nobody volunteered.

How likely is it that the AI initiative you'd be hired into gets shelved?

Roughly 42% of AI initiatives are ultimately abandoned by their corporate parents, according to S&P Global Market Intelligence data cited by TechCrunch's running "AI graveyard" tracker — killed by funding gaps, technical setbacks, competition, or weak demand.

TechCrunch's list includes Relay, a five-year-old AI workflow-automation startup built as a Zapier alternative, which shut down after OpenAI, Google, and other platforms built similar automation directly into their own tools — the exact failure mode of getting absorbed into a bigger platform's base product. The tracker also shows this happening inside companies that are otherwise thriving: OpenAI redesigned ChatGPT in July into combined "Chat," "Codex," and "Work" modes, then reversed course within weeks after users called it confusing and cluttered. OpenAI also folded its ChatGPT Atlas browser and Operator agent back into core ChatGPT, and shut down Sora in March over high operating costs and weak user retention. Apple, separately, agreed to a $250 million settlement over how it marketed the iPhone 16's AI capabilities, after years of engineering delays to Siri.

Don't avoid AI roles — diligence them like a startup, even inside a Fortune 500 employer. Before accepting an offer tied to a specific AI initiative, ask who the executive sponsor is and how long they've been in that seat, whether the initiative generates revenue or is still a cost-center pilot, and whether your team is building something a platform vendor could absorb into its base product next year — the pattern that killed Relay. Ask what happens to your role, title, and headcount if the initiative sunsets. Our guide on negotiating with real leverage under pay transparency covers how to secure a documented internal-mobility commitment before you sign, not after the project is cancelled.

Source: TechCrunch

Will that data center job still be there when you move for it?

Seven in 10 Americans oppose new AI data center construction in their local area, according to a Gallup poll, as fights over data center projects spread from Philadelphia to at least five other U.S. cities that have already approved moratoriums.

City officials have identified two potential sites for new Philadelphia data centers — one in Northeast Philadelphia, the other in the Grays Ferry neighborhood next to the shuttered Philadelphia Energy Solutions oil refinery — and organizers with Philly Thrive are campaigning for a moratorium on both. "We don't want data centers. We don't want the pollution, we don't want the noise, and we know they're not going to bring us more jobs," Philly Thrive board president Sonya Sanders said at a rally at Philadelphia's City Hall Monday, according to TechCrunch, which reported more than 100 people attended. Denver, Indianapolis, Asheville, Charlotte and Reno have already approved their own data center moratoriums, per TechCrunch's reporting. The pushback is colliding with the industry's own growth trajectory: BloombergNEF projects that by 2035, U.S. data centers will consume more natural gas than Germany and Japan combined — a forecast the research firm has nearly doubled in the past nine months, TechCrunch reported.

Developers pitch data centers on the jobs and economic growth they bring, but TechCrunch's reporting doesn't break out how many of the promised jobs are temporary construction positions versus the smaller, specialized headcount needed to actually run a finished facility — a distinction job seekers should press for themselves rather than take on faith. Before relocating for a data center opening, ask directly: is this a construction contract with an end date, or a permanent operations role, and are you being hired by the operator or through a staffing firm? Also weigh the project's political status — moratorium fights can delay or kill a project's permits after you've already moved. Our entry-level jobs playbook covers similar screening questions for other fast-growing hiring booms.

Source: TechCrunch; Gallup

Is the person judging your "AI skills" someone who has never used AI?

More than two dozen members of Congress and governors told Axios on September 16 that they don't use AI or have rarely done so — including senior committee chairs who are actively working on AI legislation.

Among them: Sen. James Risch (R-Idaho), 83, chair of the Senate Foreign Relations Committee, told Axios, "I do not personally use it." Sen. Roger Wicker (R-Miss.), 75, chair of the Armed Services Committee, answered "Heavens no" when asked if he uses it. Rep. Frank Pallone (D-N.J.), 74, ranking member of the House Energy and Commerce Committee, said, "I don't think I've ever used it." One House Democrat, unnamed in the piece, called the arrangement absurd (using an expletive) and argued that anyone overseeing the technology needs to be a regular user of it. Sen. Tim Kaine (D-Va.) took the opposite view, arguing he doesn't need to personally use AI to legislate on it. Not every older lawmaker fits the pattern — Axios also cited Rep. Bobby Scott (D-Va.), 79, who said he uses AI "every day."

Axios reported on lawmakers regulating AI, not on hiring managers evaluating it — but the parallel is worth drawing out for job seekers. A job posting that lists "AI experience" as a requirement is frequently written, reviewed, and screened by people with no more hands-on exposure than Risch or Wicker, which means the bar is undefined and the burden of defining it falls on the candidate. Don't lead with tool names — lead with an outcome and a before/after number: hours saved, error rate reduced, output volume increased. Bring one concrete artifact you can walk through in plain language. It's also fair to ask the interviewer what the team currently uses; the answer tells you whether you're pitching to a fluent evaluator or an ambiguous one. For structured practice, see our AI-era interview prep guide.

Source: Axios

What to watch

• Whether any of the companies on TechCrunch's graveyard list quietly reappear as acquisitions rather than shutdowns — the distinction matters for anyone whose equity is tied to one.
• Whether Philadelphia's moratorium campaign reaches a council vote, and whether any operator publishes a construction-versus-operations headcount breakdown in response to the jobs criticism.
• Whether public-sector and policy-adjacent employers start posting roles that explicitly require hands-on AI use — the clearest sign the fluency gap Axios documented is being treated as a hiring problem.

Sources

• "The AI graveyard: a running list of projects and startups that didn't make it" — TechCrunch — https://techcrunch.com/2026/09/15/the-ai-graveyard-a-running-list-of-projects-and-startups-that-didnt-make-it/
• "The AI data center boom is colliding with cities scarred by big industry" — TechCrunch — https://techcrunch.com/2026/09/15/the-ai-data-center-boom-is-colliding-with-cities-scarred-by-big-industry/
• "Americans Oppose AI Data Center Construction" — Gallup — https://news.gallup.com/poll/709772/americans-oppose-data-centers-area.aspx
• "An aging Congress' dilemma: Can they regulate AI without using it?" — Axios — https://www.axios.com/2026/09/16/lawmakers-regulate-ai-without-using-it