Bank of America sees 30% annual growth in chip gear spending

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Radhika SScanX News Team
Key Highlights

Bank of America analyst Vivek Arya identified Applied Materials, Lam Research, and KLA as buying opportunities following a recent market selloff. The bank projects wafer fab equipment spending will grow approximately 30% annually to reach $250 billion by 2028. Arya argues the pullback is an entry point driven by strong demand for high-bandwidth memory and new chip factories.

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Bank of America views the recent sharp decline in semiconductor stocks as a buying opportunity, forecasting a massive surge in industry spending over the next two years. Analyst Vivek Arya told clients on Wednesday that the pullback in Applied Materials, Lam Research, and KLA represents an entry point rather than a warning, driven by an impending wave of capital expenditure. The bank expects wafer fab equipment spending to climb from roughly $144 billion in 2026 to about $250 billion by 2028, representing growth of close to 30% a year, with rising equipment prices potentially adding another 10%.

The three stocks, which all peaked on June 30, have fallen significantly in the three weeks since. Applied Materials declined about 23%, Lam Research fell approximately 27%, and KLA dropped around 28%. The selloff was triggered by investor fears that memory prices were peaking and that cheaper Chinese AI models would reduce hardware spending. However, Bank of America describes the situation as an "enhanced buying opportunity," citing more than two years of forward visibility and demand drivers such as high-bandwidth memory and gate-all-around transistors.

Applied Materials: The Broadest Bet On The Cycle

Applied Materials is the largest and most diversified name in the group, offering exposure to nearly every segment of the upcycle. Arya highlighted its leading share of about 20% in DRAM equipment, which is becoming a bottleneck as AI demand strains supply. Despite this, the stock trades at roughly 28 times next year's earnings, near its widest discount to peers in five years. Bank of America rates it Buy with a $720 price target, about 29% above the current $556.24. The consensus rating is a Buy with an average target of $631.56.

Date Firm Price Target Action Rating
Jul 15, 2026 UBS $570 → $705 Maintains Buy
Jul 10, 2026 Needham $530 → $740 Maintains Buy
Jun 30, 2026 Susquehanna $575 → $900 Maintains Positive
Jun 29, 2026 Cantor Fitzgerald $650 → $850 Maintains Overweight

Lam Research: The Etch And Deposition Leader

Lam Research is positioned as a through-cycle share gainer in etch and deposition, critical steps in chip manufacturing. Arya noted the company is best positioned for a new wave of NAND flash-memory capacity. Bank of America maintains a Buy rating with a $480 target, approximately 51% above the current $317.06. The Street's average target is $329.19, though recent calls reach a Street-high of $500.

Date Firm Price Target Action Rating
Jul 20, 2026 Evercore ISI $300 → $355 Maintains Outperform
Jul 10, 2026 Stifel $325 → $425 Maintains Buy
Jun 30, 2026 Susquehanna $385 → $475 Maintains Positive
Jun 29, 2026 Cantor Fitzgerald $425 → $500 Maintains Overweight

KLA: The Compounder Bank Of America Says Is Too Cautious

KLA leads in process control, providing inspection and measurement tools essential for defect detection. Arya characterized the company as a "compounder at cusp of acceleration," arguing that its high-teens full-year sales guidance appears conservative. Bank of America rates it Buy with a $317 target, about 46% above the current $217.16. The consensus is a Buy, with recent targets ranging from $240 at UBS to a Street-high of $325 at Cantor Fitzgerald.

Date Firm Price Target Action Rating
Jul 20, 2026 UBS $255 → $240 Maintains Neutral
Jul 10, 2026 Stifel $191 → $270 Maintains Buy
Jul 06, 2026 Morgan Stanley $190 → $274 Maintains Overweight
Jun 29, 2026 Cantor Fitzgerald $250 → $325 Maintains Overweight

How will potential geopolitical restrictions on semiconductor exports to China impact the projected surge in wafer fab equipment spending?

What specific catalysts are needed to reverse investor fears regarding memory prices peaking and validate Bank of America's bullish outlook?

How might the development of cheaper Chinese AI models alter the capital expenditure strategies of major global chip manufacturers over the next two years?

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Bank of America upgrades EricaAssist with generative AI to cut call times

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Reviewed by
Anirudha BScanX News Team
Key Highlights

Bank of America upgraded EricaAssist with generative AI to deliver client insights in under three seconds, reducing average call times by nearly one minute. Used by over 18,000 employees, the tool supports real-time decision-making and improves client experience. The bank plans to expand the tool to more business lines later this year.

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Bank of America upgraded EricaAssist with generative AI capabilities to deliver contextual guidance in under three seconds, helping employees resolve client needs faster. The tool reduces average call times by nearly one minute per interaction, improving efficiency and client experience. More than 18,000 customer service representatives currently use EricaAssist to support client conversations.

EricaAssist works alongside employees during calls, summarizing and surfacing relevant guidance in real time. This allows employees to focus on listening to and understanding clients, explaining solutions, and building stronger relationships. The enhancements are designed to make human agents better and provide customers with an improved and more efficient experience.

"EricaAssist reflects our high tech, high touch approach," said Ashley Ross, Head of Consumer Client Experience and Business Transformation at Bank of America. "By combining human judgment with real time AI guidance, we're helping employees navigate complex topics more easily and serve clients more effectively in the moments that matter most."

Customer service representatives use the generative AI capabilities within EricaAssist to summarize why a client is calling, pull together relevant information, and recommend next steps based on the employee's role and the client's relationship with the bank. The technology operates without interrupting the flow of the conversation.

"This technology helps our teammates deliver relevant insights in seconds, while operating with strong governance, transparency, and accountability," said Tom Ellis, Chief Information Officer and Head of Consumer Technology at Bank of America.

Technology Investment

Bank of America spends $14 billion annually on technology, with more than $4 billion allocated to new initiatives, including AI. These ongoing investments, combined with a high-tech, high-touch approach, continue to enhance client experiences across all channels and drive operational efficiencies.

Metric Value
Annual technology spend $14 billion
Spend on new initiatives More than $4 billion
Current users of EricaAssist More than 18,000
Reduction in call time Nearly one minute

Future Expansion

Later this year, Bank of America plans to expand EricaAssist to support additional servicing scenarios and business lines. The responsible AI strategy ensures human oversight, transparency, and accountability for all outcomes.

What specific business lines and servicing scenarios will be prioritized in the upcoming expansion of EricaAssist?

How will the nearly one-minute reduction in call time impact overall staffing levels and operational costs in the long term?

What specific governance frameworks and audit trails are in place to ensure the generative AI recommendations remain accurate and unbiased?

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