A Dark Vector Cognition product

Item 1A. Risk Factors

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Item 1A. Risk Factors

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In our report on Form 10-K for the year ended December 31, 2023, filed with the Securities and Exchange Commission on February 23, 2024, we identify under Item 1A important factors which could affect our financial performance and could cause our actual results for future periods to differ materially from our anticipated results or other expectations, including those expressed in any forward-looking statements made in this Form 10-Q. See the section entitled Forward-Looking Statements located on page 46 of this Form 10-Q. We may also refer to such disclosure to identify factors that may cause results to differ from those expressed in other forward-looking statements made in oral presentations, including telephone conferences and/or webcasts open to the public.

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The discussion below provides updates and additions to the risk factors and should be read together with the full list of risk factors set forth in the Form 10-K.

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Our increasing reliance on artificial intelligence (AI) technologies in our products, services, and operations presents several risks that could adversely impact our business, financial condition, and results of operations.

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We are increasingly incorporating AI capabilities into the development of technologies and our business operations, and into our products and services. AI technology is complex and rapidly evolving, and may subject us to significant competitive, legal, regulatory, operational and other risks, including the following:

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●Operational and Technical Risks: AI technologies are complex and rapidly evolving. Flaws in AI algorithms, training methodologies, or datasets may lead to unintended consequences, such as operational disruptions, erroneous decision-making, or data loss. These issues could impair the effectiveness of our AI systems and result in significant operational challenges. Additionally, software we purchase or lease from third-party vendors could become inoperable (via attack from a bad actor, network failure, code error, etc.), such that it adversely impacts Ecolab’s ability to deliver products or services to Ecolab’s customers, resulting in financial losses, legal liabilities, and damages to our reputation.
●Legal and Regulatory Risks: The legal and regulatory landscape for AI is still developing and varies across jurisdictions. Compliance with evolving AI regulations may impose significant costs, limit our ability to incorporate AI capabilities, and expose us to legal liabilities. Additionally, new regulations could conflict with our current AI practices, requiring costly changes to our development and deployment strategies.
●Reputational Risks: The use of AI raises social and ethical concerns, which could harm our reputation if not managed responsibly. Incidents related to AI, such as biased outcomes or privacy breaches, could lead to negative publicity and reduce public trust in our AI solutions.
●Competitive Risks: Our competitors may develop and implement AI technologies more effectively, gaining a competitive advantage. If we fail to keep pace with advancements in AI, our market position could be weakened, adversely affecting our business performance.
●Financial Risks: The development, testing, and deployment of AI systems are resource-intensive and may increase our operational costs. There is no assurance that our investments in AI will yield the anticipated benefits or that customers will adopt our AI-enhanced offerings, potentially impacting our financial results.
●Cybersecurity Risks: AI systems can be vulnerable to cybersecurity threats, such as data breaches and unauthorized access. These threats could result in financial losses, legal liabilities, and damage to our reputation.

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We are committed to developing and using AI responsibly, but there can be no guarantee that we will successfully mitigate all associated risks. Any failure in our AI initiatives could materially harm our business, financial condition, and results of operations.

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Item 2. Unregistered Sales of Equity Securities and Use of Proceeds

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​​​​​​​​Number of shares​​Maximum number of
​​Total​​​​​purchased as part​​shares that may
​​number of​​Average price​​of publicly​​yet be purchased
​​shares​​paid per​​announced plans​​under the plans
Period​purchased(1)​​share(2)​​or programs(3)​​or programs(3)​
July 1-31, 2024255​​$-​​-​10,720,395​
August 1-31, 20241,844,484​​​237.8656​​1,839,507​8,880,888​
September 1-30, 2024105,356​​​242.2245​​99,303​8,781,585​
Total1,950,095​$238.0700​1,938,810​8,781,585​

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(1)Includes 11,285 shares reacquired from employees and/or directors as swaps for the cost of stock options, or shares surrendered to satisfy minimum statutory tax obligations under our stock incentive plans.

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(2)The average price paid per share includes brokerage commissions associated with publicly announced plan purchases plus the value of such other reacquired shares.

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(3)As announced on February 24, 2015, our Board of Directors authorized the repurchase of up to 20,000,000 common shares. As announced on November 3, 2022, our Board of Directors authorized the repurchase of up to an additional 10,000,000 shares. Subject to market conditions, we expect to repurchase all shares under these authorizations, for which no expiration date has been established, in open market or privately negotiated transactions, including pursuant to Rule 10b5-1 and accelerated share repurchase program.

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Item 3. Defaults Upon Senior Securities

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Not applicable.

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Item 4. Mine Safety Disclosures

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Not applicable.

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