AI + Careers Briefing — October 10, 2026

AI money is not spreading evenly, and today's three stories show where it is going: into a handful of companies' profits, out of the hours law firms used to bill, and toward people who know how Washington works. For job seekers, the common thread is that AI's value is being repriced, and the skills employers pay for are shifting with it.

Is AI really driving corporate profit growth this earnings season?

Yes. S&P 500 earnings are expected to rise about 31% from a year earlier in the third quarter, and roughly two-thirds of that growth comes from the technology sector and AI heavyweights, according to LSEG data cited by Reuters. Tajinder Dhillon, LSEG's head of earnings and equity research, named Alphabet, Amazon.com and Meta Platforms among the main drivers.

Semiconductor earnings are expected to rise about 136%, down from about 158% in the second quarter. Energy earnings are seen up about 115%, helped by a roughly 30% jump in US oil prices. Consumer staples and real estate have among the weakest growth estimates, per the same report. Ameriprise Financial's Anthony Saglimbene said investors are approaching peak earnings growth for this cycle, and Earnings Scout CEO Nick Raich said the AI infrastructure buildout is still moving fast but slower than three months ago.

Why it matters for job seekers: Reuters' reporting doesn't address hiring, so this is our reading, not a finding. Profit growth this concentrated suggests hiring budgets are uneven too. Firms with fast-growing AI-linked earnings have more room to fund roles, while sectors at the weak end may be more cautious. Listen to upcoming earnings calls for capital-spending and headcount language. Our guide to the AI skills salary premium covers which skills employers pay for.

Is AI putting the billable hour, and entry-level legal jobs, at risk?

The pressure is real. Large clients are asking law firms to pass AI time savings on to them, which threatens the hourly billing that has long funded junior lawyer work, according to HCAmag.

Citigroup is asking firms to disclose AI time savings, and Goldman Sachs has asked for transparency on AI productivity gains. Morgan Stanley plans competitive bidding and alternative fee arrangements, and its general counsel called law firm compensation models "extraordinarily unstable." Average associate rates at top US firms reached $798, up 33 percent since 2023. More than half of lawyers using AI tools report producing work faster, especially research, document review and discovery. Anthropic general counsel Jeff Bleich told an American Bar Association institute earlier this year that "I don't think the billable hour is the solution, and we've known it for a long time," Legal Cheek reported. Citi's law-firm advisory head expects a hybrid of fixed fees for routine work and hourly billing for complex matters, not wholesale repricing, per HCAmag.

Why it matters for job seekers: Research, document review and discovery are the tasks AI speeds up, and they are also how many junior lawyers have built billable hours. The sources do not report layoffs or hiring cuts, so treat this as a pricing shift, not a jobs count. For law students, paralegals and other professional-services candidates, our read is that judgment, client communication and fluency with AI tools matter more. See our guide to AI-proof career skills.

Are AI companies really hiring Washington insiders?

Yes. OpenAI and Anthropic have brought on former Trump administration officials in policy-facing roles this year, according to Yahoo Finance.

Anthropic added Chris Liddell, a former deputy White House chief of staff, to its board in February, and hired Sihao Huang, a former White House Office of Science and Technology Policy adviser, as head of frontier compute strategy in September. OpenAI hired Dean Ball, who helped shape America's AI Action Plan, as head of strategic futures in July. Most recently, Thomas Lind, who previously worked at the White House's Office of the National Cyber Director, joined OpenAI's national security policy team, PYMNTS reported. Team head Sasha Baker said: "Tom is a key addition to our national security team, bringing expertise across AI policy, cybersecurity and strategic risk."

Why it matters for job seekers: The hires suggest these labs are paying for government experience, not only engineering skill, across cyber risk, compute strategy and policy design. For non-technical candidates, that points to backgrounds in public policy, national security and regulatory affairs. These jobs went to former senior officials, so entry-level paths likely look different, but the skills overlap. Our guide to job searching in the AI era covers how to frame adjacent experience.

What to watch

• Third-quarter earnings calls over the coming weeks: listen for headcount and capital-spending language from AI-linked firms and from the weaker sectors.
• Whether more large clients follow the banks in demanding AI-adjusted legal fees.
• Further policy-side hiring at AI labs as Washington's scrutiny of the industry continues.