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U.S. Agency Calls for Audits of AI Systems to Hold Companies Accountable

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By Gopal Ratnam, CQ-Roll Call (TNS)

The National Telecommunications and Information Administration on Wednesday issued a report calling for establishing a system of audits for artificial intelligence systems that would ensure transparency as well as hold tech companies accountable for potential risks and harms.

The Artificial Intelligence Accountability Policy Report stemmed from more than 1,400 comments the agency, which is part of the Commerce Department, received last year from companies and advocacy groups about creating an accountability system for artificial intelligence technologies.

“The report calls for improved transparency into AI systems, independent evaluations of those systems, and consequences for imposing new risks,” Alan Davidson, NTIA’s administrator and assistant secretary of Commerce, told reporters Tuesday.

“The government ought to require independent audits of the highest risk AI systems, those that, for example, directly impact physical safety or health” of users, Davidson said.

Davidson said such a system of audits would be similar to financial audits that public companies undertake to certify financial performance based on a broadly accepted set of accounting and compliance principles.

The NTIA recommendations would likely feed into decisions Congress and the executive branch make in the coming months on how to devise regulations and laws for artificial intelligence systems.

Senate Majority Leader Charles E. Schumer, D-N.Y., has held a series of briefings for lawmakers on AI with the goal of drafting legislation. In February the House launched a bipartisan task force on AI led by Reps. Jay Obernolte, R-Calif., and Ted Lieu, D-Calif.

A legislative framework proposed by Sens. Richard Blumenthal, D-Conn., and Josh Hawley, R-Mo., last year would hold AI systems accountable by creating a new federal oversight agency that “should have the authority to conduct audits” and issue licenses to companies developing AI systems used in high-risk situations such as facial recognition and others.

A bipartisan group of lawmakers led by Sens. John Thune, R-S.D., and Amy Klobuchar, D-Minn., unveiled legislation late last year that promises to bring greater transparency to the development of artificial intelligence systems and hold companies developing such systems accountable.

The bill would create an advisory body of industry experts to guide the Commerce Department on standards for AI systems in use at infrastructure facilities, within criminal justice systems, in the collection of biometric information and other critical areas.

Not all of the recommendations in the NTIA report require legislation, Davidson said, adding that the agency is working with Congress on those issues.

The report calls for supporting the U.S. AI Safety Institute at the National Institutes of Standards and Technology as well as federal agencies to work with companies and advocacy groups to develop and design audits, and liability standards including who should be held responsible for harms produced by AI systems.

Davidson said building a well-functioning auditing system for AI could take years, and would include building a “workforce of AI auditors … so that we can make sure that there’s a level of independence” among auditors and auditing firms.

Existing regulatory agencies including the Food and Drug Administration, the Consumer Financial Protection Bureau, the Equal Employment Opportunity Commission, the Federal Trade Commission and others that are already looking at how to regulate AI systems within their respective fields can incorporate auditing mechanisms, Davidson said.

The report also calls for consequences for AI developers who misrepresent how their systems work, and those would include both regulatory and marketplace consequences, Davidson said.

Labels similar to Energy Star ratings and other similar seals of approval could help consumers figure out whether they can trust AI systems, Davidson said.

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©2024 CQ-Roll Call Inc. Visit at rollcall.com. Distributed by Tribune Content Agency LLC.

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Hardware Rally Diverges From Software Stocks

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Hardware Rally Diverges From Software Stocks

As midyear earnings reports flood Wall Street during the week of July 21, 2026, a sharp performance divergence has emerged within the technology sector. Equity indices reflect robust institutional buying in semiconductor manufacturers, data center infrastructure providers, and specialized power equipment suppliers. Conversely, enterprise Software-as-a-Service (SaaS) equities are facing notable valuation pressure as institutional investors demand clear, high-margin top-line revenue growth to justify elevated price-to-earnings multiples.

The sustained momentum in hardware equities is anchored in massive, multi-billion-dollar capital expenditure budgets allocated by mega-cap technology corporations. Demand for next-generation computing architectures, high-density server hardware, and specialized cooling infrastructure remains unyielding as enterprises globally build out localized computing clusters. Semiconductor foundries and equipment manufacturers continue to report record order backlogs, granting these companies exceptional pricing power and revenue visibility despite broader macroeconomic uncertainty.

In contrast, the enterprise software segment is navigating a rigorous fundamental reassessment. While software vendors have aggressively integrated automated digital features across their applications, enterprise customers are closely scrutinizing software licensing expenditures. Corporate IT departments are demanding verifiable productivity metrics before expanding user licenses, leading to extended sales cycles for software providers. Firms that fail to demonstrate direct, measurable return on investment are experiencing sharp post-earnings corrections.

For equity portfolio managers, navigating the midyear technology landscape requires strict balance sheet analysis and disciplined stock selection. Investors should focus on hardware leaders with defensible technological moats and enterprise software firms featuring deep workflow integration and proven monetization models. Maintaining a balanced, highly selective exposure protects capital while capturing structural technological growth.

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Hardware vs. Software Divergence: Navigating Midyear 2026 Tech Sector Earnings

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Hardware vs. Software Divergence: Navigating Midyear 2026 Tech Sector Earnings

As the midyear 2026 earnings season accelerates through the week of July 20, the technology sector is displaying a notable operational split between hardware infrastructure providers and enterprise software-as-a-service (SaaS) platforms. Market indices reflect strong institutional demand for companies supplying core computing hardware, advanced power management systems, and specialized optical networking components. Conversely, software providers are facing intense margin scrutiny as Wall Street demands concrete, high-margin revenue growth to justify elevated software valuations.

The sustained outperformance of hardware equities is anchored in ongoing, multi-billion-dollar global capital investments into data center infrastructure, grid capacity expansion, and high-performance chip architecture. Semiconductor foundries and specialized component suppliers have consistently reported robust order backlogs, driven by enterprise commitments to build out secure, localized computing clusters. Investors have rewarded these companies due to their tangible, order-backed revenue visibility and strong pricing power in a constrained supply environment.

On the other hand, the software sector is navigating a transition phase. While enterprise software vendors have heavily invested in integrating automated AI capabilities across their product suites, corporate clients are scrutinizing software licencing costs and requiring clear return-on-investment metrics before expanding enterprise seat licenses. Consequently, software vendors that rely on generic feature upgrades without demonstrable productivity improvements are seeing extended sales cycles and valuation compression during quarterly earnings calls.

For equity investors, navigating the tech market for the remainder of 2026 requires rigorous fundamental analysis focused on capital efficiency and cash flow generation. Strategic focus should be directed toward hardware leaders with unassailable technological moats and enterprise software companies possessing deep workflow integration and proven monetization models. Maintaining a balanced, selective exposure ensures participation in technological growth while hedging against localized valuation corrections.

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Utilities Re-Valuation: How Industrial Power Demand Driven by AI Upgrades Sector Equities

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How Industrial Power Demand Driven by AI Upgrades Sector Equities

Traditionally viewed as defensive, low-growth dividend plays, utility equities are undergoing a remarkable structural re-valuation across major stock exchanges in July 2026. Driven by an unprecedented surge in industrial power requirements—stemming from high-density data centers, advanced domestic manufacturing plants, and widespread electrification initiatives—utility providers are presenting revenue growth profiles historically reserved for growth sectors. This transition has repositioned power and energy infrastructure equities into prime targets for institutional capital.

The driver of this market shift is the long-term contractual nature of commercial energy demand. Tech giants and industrial manufacturers are entering into multi-decade power purchase agreements (PPAs) with utility operators to secure guaranteed baseload power. To meet this demand, utility companies are undertaking massive capital expenditure programs to modernize electrical transmission networks, integrate next-generation nuclear and renewable power facilities, and enhance regional grid resilience. Regulated utility models allow these companies to earn predictable returns on these substantial capital investments.

Furthermore, equity analysts highlight that the sector offers an attractive blend of growth potential and downside protection in a sustained high-interest-rate environment. While elevated capital costs increase borrowing expenses for grid infrastructure upgrades, the sheer volume of new industrial power demand provides strong top-line revenue expansion that offsets debt-servicing expenses. Investors seeking reliable yield combined with structural capital appreciation are increasingly allocating capital to regulated electric utilities and independent power producers.

Moving through the second half of 2026, portfolio managers recommend evaluating utility equities based on regional regulatory environments and capital execution track records. Companies operating in regions with streamlined permitting processes, supportive state regulatory commissions, and direct proximity to expanding industrial corridors are best positioned to deliver superior long-term shareholder value.

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