Understanding AI Washing in Modern Business With “AI” everywhere, from pitch decks to product labels, the temptation to exaggerate is rising...

Understanding AI Washing in Modern Business

With “AI” everywhere, from pitch decks to product labels, the temptation to exaggerate is rising. AI washing is the habit of overstating (or inventing) how much artificial intelligence sits inside a product. It works because “AI” is a broad, flexible term. It can refer to simple automation, to machine learning, or to something in between. That ambiguity lets audiences fill in the blanks with optimistic assumptions. For firms, the payoff is clear: ride the hype, sound cutting-edge, and stay competitive, even if the product is mostly conventional software with a modern gloss.

The danger is not only bruised credibility when customers realise the “smart” feature is little more than keyword matching. [I] Once AI claims are tied to regulated promises, especially in finance, they can shift from marketing puffery to legal risk. [II] In March 2024, the U.S. Securities and Exchange Commission (SEC) announced settled charges against two investment advisers, Delphia (USA) Inc. and Global Predictions Inc., for making false and misleading statements about how they used AI, alongside $400,000 in total civil penalties. [III] The SEC’s message was blunt. If you advertise AI-driven capabilities, you need those capabilities in reality, not just in promotional materials. [IV]

Beyond enforcement, the broader harm is systemic. AI washing undermines trust and makes buyers more sceptical. It also nudges investors toward buzzwords rather than substance. Meanwhile, serious builders end up spending time proving they are real instead of improving what they build. Over time, “AI” risks becoming an empty badge, useful for signalling, useless for clarity, and that makes honest comparisons harder. The fix is not to police ambition. It is to tighten the link between language and evidence: state what methods are used, what they can (and cannot) do, and what data practices or safeguards shape outcomes. In markets where trust is scarce, that kind of precision becomes a real advantage.

[Adapted from https://www.sec.gov/newsroom/press-releases/2024-36]

Question 31: Where in the passage does the following sentence best fit?         

“AI-powered” cannot be a free-floating label; it has to be a claim you can support.

A. [I]         B. [II]         C. [III]         D. [IV]

Question 32: According to paragraph 1, why are firms able to successfully use "AI" as a broad label to influence their audience's perception?

A. Because most conventional software today has already integrated advanced machine learning to provide a modern gloss.

B. Because firms have successfully replaced all simple automation with cutting-edge technology to stay competitive in the market.

C. Because the lack of a precise definition for the term allows consumers to project their own positive expectations onto a product.

D. Because audiences are now required to fill in technical pitch decks with their own optimistic assumptions before purchasing.

Question 33: The word "they" in paragraph 2 refers to __________.

A. regulated promises         B. investment advisers         C. AI claims         D. settled charges

Question 34: According to paragraph 2, which of the following is NOT mentioned as a consequence or characteristic of AI washing?

A. The transition from promotional exaggeration to significant legal liabilities.

B. Financial penalties imposed by regulatory bodies for deceptive statements.

C. The immediate bankruptcy of firms that fail to integrate machine learning.

D. The loss of professional reputation when consumers discover the truth.

Question 35: Which of the following best summarises the main content of paragraph 2?

A. The U.S. Securities and Exchange Commission (SEC) has successfully eliminated AI washing in the finance sector by monitoring marketing materials.

B. Beyond damaging reputation, deceptive AI marketing carries serious legal consequences, as evidenced by recent enforcement actions against financial firms.

C. Investment advisers like Delphia Inc. are pioneering new AI-driven capabilities to remain competitive despite facing heavy civil penalties from the SEC. 

D. High-profile legal cases in March 2024 proved that "AI-powered" labels are primarily used for promotional purposes rather than actual functionality.

Question 36: The word "sceptical" in paragraph 3 is OPPOSITE in meaning to __________.

A. cynical         B. doubtful         C. credulous         D. cautious

Question 37: According to the passage, which of the following is TRUE regarding the systemic impact of AI washing?

A. It encourages serious builders to focus exclusively on enhancing their product's core features without worrying about trust.

B. The misuse of "AI" as a label primarily assists buyers in making honest and clear comparisons between different products.

C. False claims divert the attention of investors away from the actual quality of a product toward superficial terminology.

D. Tightening the link between language and evidence is considered a method to restrict the creative ambitions of modern firms.

Question 38: Which of the following best paraphrases the underlined sentence in paragraph 3: “Over time, ‘AI’ risks becoming an empty badge, useful for signalling, useless for clarity, and that makes honest comparisons harder.”?

A. If the term "AI" continues to be used for signalling, it will eventually provide the necessary clarity for consumers to compare different products.

B. The persistent devaluation of the "AI" label may result in a decorative term that indicates modernism but fails to provide meaningful information for evaluation.

C. To prevent "AI" from becoming an empty badge, firms must ensure that their signalling strategies are more useful than their technical clarity.

D. Comparing products becomes easier when "AI" is used as a symbolic badge because it signals to investors which firms are truly ambitious.

Question 39: Which of the following can be most likely inferred from the passage?

A. Traditional software companies will eventually dominate the market by applying a modern gloss to their conventional products.

B. Legal intervention by the SEC is the only effective way to prevent investors from being nudged toward buzzwords instead of substance.

C. Firms that provide specific details about their AI methodologies may gain a competitive edge in environments where consumers are wary.

D. The ambiguity of the term "AI" will likely lead to the complete replacement of machine learning with simple automation in the near future.

Question 40: Which of the following best summarises the passage?

A. AI washing is a marketing strategy that allows firms to ride the hype of modern technology without facing any significant long-term systemic risks.

B. The SEC's blunt message to investment advisers has ensured that all "AI-powered" products in the market are now supported by concrete evidence.

C. Driven by market hype, AI washing poses significant legal and systemic threats, necessitating a move toward transparency and precision to restore trust.

D. Conventional software with a modern gloss is becoming the global standard because it allows firms to stay competitive while avoiding legal enforcement.