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AI’s workforce impact is ‘small,’ but it’s not ‘zero,’ economist says

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While artificial intelligence has caused turbulence in the labor market, the recent decline in job opportunities has more to do with economic uncertainty, experts say.

“As we look across the broader labor market, we see that AI’s impact on the labor market has still been fairly small,” said Cory Stahle, a senior economist at Indeed, a job search site. 

“The important asterisk is that that doesn’t mean that it has been zero,” he said. 

Mandi Woodruff-Santos, a career coach, agrees: “I don’t think AI is to blame, I think the economic uncertainty is to blame.”

The state of the job market

The job market has not been good in recent months, whether you’re looking for a job or currently employed.

The U.S. economy added about 22,000 jobs for the month of August, while the unemployment rate rose to 4.3%, according to a Bureau of Labor Statistics report on Friday. Economists surveyed by Dow Jones had been looking for payrolls to rise by 75,000.

Of those who are still employed, some are “job hugging,” or “holding onto their job for dear life,” according to an August report by Korn Ferry, an organizational consulting firm.

But others are “quiet cracking,” which is a “persistent feeling of workplace unhappiness that leads to disengagement, poor performance, and an increased desire to quit,” according to cloud learning platform TalentLMS.

Growing economic uncertainty has kept workers from quitting their jobs and has led businesses to slow down hiring decisions, experts say.

“No business knows what the heck the Trump administration is going to do next with the economy,” said Woodruff-Santos.

“And in this kind of economic climate, companies are not sure of anything, and so they’re being very conservative with the way that they’re hiring,” she said.

How artificial intelligence is impacting the labor force

While some companies have announced layoffs to pursue AI technologies in their organizations, most of the impact has been isolated in the tech industry, said Indeed’s Stahle. 

Most recently, Salesforce CEO Marc Benioff said the company laid off about 4,000 customer support roles, due to advancements in the company’s use of artificial intelligence software.

Other studies show that AI has mostly affected younger workers rather than mid-career employees. 

An August report by Stanford University professors found that early-career workers (ages 22 to 25) in the most AI-exposed occupations experienced a 13% decline in employment. On the flip side, employment for workers in less-exposed fields and more experienced workers in the same occupations has either stayed the same or grown.

The study also found that employment declines are concentrated in occupations “where AI is more likely to automate rather than augment human labor.” 

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Yet, the tech industry itself is not a large sector, said Stahle. According to a March 2025 analysis by non-profit trade association CompTIA, or the Computing Technology Industry Association, “net tech employment” made up about 5.8% of the overall workforce.

Net-tech employment is a designation that represents all those employed in the industry, including workers in technical positions such as cybersecurity and business professionals employed by technology companies, as well as full-time and self-employed technology workers.

For AI-driven layoffs to be considered a broad threat to the job market, the technology needs to start impacting other sectors, such as retail and marketing, said Stahle.

‘We’re seeing more and more demand for AI skills’

Some predictions on AI’s workforce impact argue that employers may be more likely to retrain workers rather than lay them off, according to a new report by the Brookings Institute, a public policy think tank.

“AI may be more likely to augment rather than fully replace human workers,” the authors wrote.

In fact, “we’re seeing more and more demand for AI skills,” said Stahle.

Roger Ferguson on August jobs report: A September rate cut 'may be appropriate'

If you have the opportunity, experts say, it’s smart to learn how your field and employer are using AI. 

“You’d be foolish not to do the research into your own field,” and understand how AI can be a tool in your industry, said Woodruff-Santos. 

Look for training programs or webinars where you can participate or free trials of AI tools you can use, she said.

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Personal Finance

Maximizing Returns in High Rate Climate and market uncertainty

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Maximizing Returns in High-Rate Climate

In the macroeconomic environment of late July 2026, personal cash management requires an active, structured approach to wealth preservation. With central bank benchmark rates remaining elevated to ensure long-term disinflation, conservative yield-bearing vehicles—such as short-term U.S. Treasury bills, money market funds, and high-yield savings accounts (HYSAs)—continue to offer reliable nominal returns between 4% and 5%. For individual investors, maximizing net returns requires moving beyond passive checking accounts and executing a disciplined cash laddering strategy.

Leaving substantial liquid capital in traditional bank deposits creates an invisible drag on personal net worth due to ongoing inflation. By implementing a tiered liquidity framework, individuals can split emergency cash reserves and short-term capital allocations across rolling maturities. Allocating cash into 4-week, 8-week, and 13-week Treasury bills creates a continuous cycle of maturing liquidity, allowing investors to continuously reinvest capital at prevailing market yields while maintaining immediate access to emergency funds.

Tax efficiency represents a critical dimension of high-yield cash optimization. For high-earning individuals residing in states with substantial local income taxes, direct holdings in short-term U.S. Treasury instruments often deliver superior net post-tax yields compared to standard commercial bank HYSAs. Because interest earned on federal Treasury bills is strictly exempt from state and local taxation, investors can retain a larger portion of their compounding interest gains without taking on additional credit or market risk.

Ultimately, personal wealth accumulation in mid-2026 relies on intentional capital deployment. Cash should be managed as a productive asset class that generates consistent, risk-free returns. Regularly auditing account yield terms, automating recurring transfers, and leveraging tax-advantaged fixed-income instruments ensures that personal liquidity remains fully optimized against macroeconomic fluctuations.

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Personal Finance

Algorithmic Wealth Management: Balancing Automated Financial Planning with Human Oversight

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Balancing Automated Financial Planning with Human Oversight

The personal finance industry in July 2026 is experiencing a technological evolution, driven by the wide deployment of next-generation algorithmic wealth management tools. Modern digital financial platforms have expanded far beyond basic automated index investing; today’s robo-advisors utilize real-time tax-loss harvesting, dynamic portfolio rebalancing, and hyper-personalized spending analysis to optimize retail investor outcomes. However, as these digital solutions become ubiquitous, investors face the crucial challenge of balancing automated execution with human strategic judgment.

The core advantage of automated financial planning platforms lies in their ability to remove emotional bias from investment execution. During periods of market volatility or localized sector realignments, automated algorithms systematically rebalance portfolios back to target asset allocations without falling victim to panic selling or speculative enthusiasm. Furthermore, integrated cash-flow monitoring algorithms analyze individual spending patterns in real time, automatically sweeping surplus income into designated retirement or debt-liquidation accounts to accelerate net worth accumulation.

Despite these operational advantages, algorithmic tools have inherent structural limitations when addressing complex, highly personalized financial life events. Decisions involving multi-generational estate planning, highly complex tax strategies, small business exits, or nuanced real estate transactions require contextual human judgment that software models cannot replicate. Relying solely on automated models without periodic human professional review can result in misaligned risk profiles or overlooked tax liabilities during major life transitions.

The optimal approach for personal financial planning in late 2026 is a hybrid advisory model. Individuals should utilize automated platforms for routine asset allocation, continuous tax optimization, and low-cost passive index tracking, while engaging qualified human financial advisors for periodic strategic planning, estate structuring, and qualitative risk evaluations. This dual approach ensures maximum cost efficiency and disciplined execution while retaining essential strategic guidance.

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Personal Finance

High-Yield Optimization: Structuring Personal Cash Reserves in a Sustained Rate Environment

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Structuring Personal Cash Reserves in a Sustained Rate Environment

In the financial environment of mid-2026, personal cash management has re-emerged as a vital component of holistic wealth building. With central bank policy rates holding firm to maintain long-term price stability, yield-bearing instruments such as money market funds, high-yield savings accounts (HYSAs), and short-term Treasury bills continue to offer compounding returns around 4% to 5%. For individual investors, effectively structuring cash reserves requires shifting away from passive bank deposits toward active yield optimization.

A frequent pitfall in personal asset management is leaving substantial liquid capital in traditional checking or low-yield savings accounts, where real returns are continuously eroded by baseline inflation. By implementing a disciplined ‘cash ladder’ strategy—allocating liquid funds across tiered maturities using ultra-short Treasury instruments and FDIC-insured high-yield accounts—individuals can secure maximal yields while retaining immediate liquidity for emergency expenses or tactical investment opportunities.

Simultaneously, investors must evaluate the tax efficiency of their cash holdings based on their tax bracket and geographic location. For high earners situated in states with high local income taxes, direct holdings in short-term U.S. Treasury bills often yield a higher net post-tax return than standard high-yield savings accounts, as Treasury interest is strictly exempt from state and local taxation. Understanding these nuanced tax distinctions allows individuals to capture significant incremental gains without taking on additional market risk.

Ultimately, personal financial health in late 2026 hinges on intentional liquidity management. Cash reserves should not be viewed merely as static emergency funds, but as a dynamic asset class that contributes positively to net worth growth. Regularly auditing yield terms, automating cash transfers, and optimizing for post-tax efficiency ensures that personal capital remains fully productive across all economic conditions.

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