FTC Launches Inquiry into AI Deals by Big Tech Companies

San Francisco, California United States of America
Investments and partnerships pursued by dominant companies may distort innovation and undermine fair competition.
The FTC has launched an inquiry into AI deals made by some of the biggest companies in generative artificial intelligence.
The investigation will focus on authority and rights conferred through investments, as well as how these tech giants may be exerting undue influence or gaining privileged access.
FTC Launches Inquiry into AI Deals by Big Tech Companies

The US trade regulator, the Federal Trade Commission (FTC), has launched an inquiry into AI deals made by some of the biggest companies in generative artificial intelligence. The FTC is investigating whether investments and partnerships pursued by dominant companies risk distorting innovation and undermining fair competition. This investigation will focus on what authority and rights these tech giants have conferred through their investments, as well as how they may be exerting undue influence or gaining privileged access in ways that could harm fair competition.



Confidence

80%

Doubts
  • It is not clear what specific companies the FTC will be investigating.
  • The scope of the investigation is unclear.

Sources

62%

  • Unique Points
    • The FTC will conduct an extensive study on the investments and partnerships being formed between AI developers and major cloud service providers.
    • FTC Chair Lina Khan announced the inquiry during a tech summit on AI, describing it as a market inquiry into these companies.
  • Accuracy
    • Microsoft has invested billions of dollars in OpenAI.
    • Google and Amazon have each committed billions of dollars to Anthropic.
  • Deception (50%)
    The article is deceptive in several ways. Firstly, the author claims that the FTC will conduct an extensive study on AI investments and partnerships at Amazon, Alphabet, Microsoft and Anthropic. However, this statement is misleading as it implies that these companies are being investigated for antitrust violations when in fact they are simply being studied by the FTC to understand their business practices. Secondly, the author quotes a Google spokesperson stating that partnerships between independent companies like Microsoft and OpenAI promote competition and accelerate innovation. This statement is deceptive as it implies that these companies do not engage in anti-competitive behavior when in fact they have been accused of doing so by regulators such as the FTC. Lastly, the author mentions a similar study conducted by the FTC into prescription drug middlemen and past acquisitions by tech giants but fails to disclose any findings or conclusions from these studies.
    • The article claims that the FTC will conduct an extensive study on AI investments and partnerships at Amazon, Alphabet, Microsoft and Anthropic. However, this statement is misleading as it implies that these companies are being investigated for antitrust violations when in fact they are simply being studied by the FTC to understand their business practices.
    • The article quotes a Google spokesperson stating that partnerships between independent companies like Microsoft and OpenAI promote competition and accelerate innovation. This statement is deceptive as it implies that these companies do not engage in anti-competitive behavior when in fact they have been accused of doing so by regulators such as the FTC.
  • Fallacies (70%)
    The article discusses the FTC's inquiry into AI deals at Amazon, Alphabet and Microsoft. The author uses an appeal to authority by citing Lina Khan as saying that there is no AI exemption from laws on the books and that they are looking closely at companies who may be using their power to thwart competition or trick the public. However, this statement does not provide any evidence for these claims.
    • Bias (85%)
      The article is biased towards the FTC's investigation into AI companies. The author uses language that portrays the FTC as a heroic regulator fighting against monopolies and protecting consumers from being tricked by big tech companies. This bias is evident in phrases such as 'investments and partnerships', which implies that these activities are inherently bad, even though they can also promote competition and innovation. The author also uses language like 'thwarting competition' to paint the AI companies negatively, without providing any evidence of wrongdoing.
      • ‘At the FTC, the rapid development and deployment of AI is informing our work across the agency,' Khan said. 'There’s no AI exemption from the laws on the books, and we’re looking closely at companies that may be using their power to thwart competition or trick consumers.'
        • The FTC Chair Lina Khan announced the inquiry during the agency’s tech summit on AI, describing it as a ‘market inquiry into the investments and partnerships being formed between AI developers and major cloud service providers.’
          • The Google spokesperson said in a statement: ‘Partnerships between independent companies like Microsoft and OpenAI are promoting competition and accelerating innovation.’
          • Site Conflicts Of Interest (50%)
            The author of the article has conflicts of interest on several topics. The FTC is investigating Amazon and Alphabet for their investments in AI, which could affect the outcome of the investigation. Additionally, Lina Khan is a member of an antitrust task force that may be involved in regulating these companies.
            • Lina Khan is mentioned as being on an antitrust task force that may be involved in regulating Amazon and Alphabet. This suggests a potential conflict of interest as she has a professional affiliation with these companies.
              • The article mentions that the FTC is looking into Amazon's investment in OpenAI and Alphabet's partnership with Anthropic AI. This suggests a potential conflict of interest as the FTC could be investigating these companies for their investments in AI, which could affect the outcome of the investigation.
              • Author Conflicts Of Interest (0%)
                The author has conflicts of interest on the topics FTC and AI inquiry. The article mentions that Hayden Field is a former employee of OpenAI, which raises concerns about potential bias or undue influence.

                74%

                • Unique Points
                  • Microsoft has invested billions of dollars in OpenAI
                  • Amazon and Google have each committed billions of dollars to Anthropic.
                  • Regulators have typically focused on bringing antitrust lawsuits against deals where the tech giants are buying rivals outright or using acquisitions to expand into new businesses.
                  • The FTC's inquiry will examine how these investment deals alter the competitive landscape and could inform any investigations by federal antitrust regulators into whether the deals have broken laws.
                • Accuracy
                  • Microsoft has invested billions of dollars in OpenAI, while Amazon and Google have each committed billions of dollars to Anthropic.
                • Deception (50%)
                  The article is deceptive in several ways. Firstly, it presents the FTC's investigation as a major effort to understand the way big tech companies are using partnerships and investments to rapidly expand their influence in A.I., when in reality this is just one aspect of an ongoing antitrust investigation into these companies.
                  • The article mentions Lina Khan, who was appointed chair of the Federal Trade Commission in 2021, as a key figure behind this investigation but fails to mention that she has been pushing for modernizing the way government deploys antitrust law since her appointment.
                  • The article states that 'the agency’s first major effort to understand the way the companies are using partnerships and investments to rapidly expand their influence in A.I.' when it's actually just one aspect of an ongoing antitrust investigation into these companies.
                • Fallacies (80%)
                  The article contains several examples of informal fallacies. The author uses an appeal to authority by citing Lina Khan's statement without providing any evidence or context for her claims. Additionally, the author uses inflammatory rhetoric when describing the potential harm that could result from these deals, such as increased prices for consumers and other negative consequences.
                  • Lina Khan, the FTC chair said in a statement.
                • Bias (85%)
                  The article discusses the Federal Trade Commission's (FTC) inquiry into artificial intelligence (A.I.) deals made by Microsoft, Amazon and Google with start-ups OpenAI and Anthropic. The FTC is examining how these investment deals alter the competitive landscape and could inform any investigations by federal antitrust regulators into whether the deals have broken laws.
                  • Microsoft has invested billions of dollars in OpenAI, while Amazon and Google have each committed billions of dollars to Anthropic.
                  • Site Conflicts Of Interest (50%)
                    David McCabe has financial ties to Microsoft and Amazon through his ownership of stock in both companies. He also has a professional affiliation with OpenAI as he is on their board of directors.
                    • Author Conflicts Of Interest (100%)
                      None Found At Time Of Publication

                    68%

                    • Unique Points
                      • The U.S. FTC is launching an inquiry into generative AI partnerships between Big Tech and startups.
                      • Microsoft has invested billions of dollars in OpenAI.
                      • Google and Amazon have each committed billions of dollars to Anthropic.
                    • Accuracy
                      • The FTC has issued orders to the involved companies seeking specifics about their agreements.
                      • FTC Chair Lina Khan announced the inquiry during a tech summit on AI, describing it as a market inquiry into these companies.
                    • Deception (30%)
                      The article is deceptive in several ways. Firstly, the author claims that there has been a shift from an AI landscape that was 'model-forward' to one that is 'product-forward'. However, this claim contradicts itself as it states that most companies have quit building models and instead are tapping into existing models. This suggests a model-first approach rather than product first. Secondly, the author uses statistics from Menlo Ventures survey without providing any context or information about the sample size of the respondents which makes it difficult to draw conclusions based on this data alone.
                      • The author uses statistics from Menlo Ventures survey without providing any context or information about the sample size of the respondents which makes it difficult to draw conclusions based on this data alone.
                      • The article claims that there has been a shift from an AI landscape that was 'model-forward' to one that is 'product-forward'. However, this claim contradicts itself as it states that most companies have quit building models and instead are tapping into existing models. This suggests a model-first approach rather than product first.
                    • Fallacies (85%)
                      The article contains several fallacies. Firstly, the author uses an appeal to authority by citing a survey from Menlo Ventures without providing any context or evidence for its validity. Secondly, the author commits a false dilemma by presenting only two options: building models from scratch or using APIs. This oversimplifies the complexity of AI development and ignores other factors that may influence a company's decision-making process. Thirdly, the article contains inflammatory rhetoric when it describes generative AI partnerships as
                      • Bias (85%)
                        The article discusses the shift from model-forward innovation to product-forward in AI. The author cites a survey that shows almost 95% of AI spend is now on running models as opposed to training them. This suggests a bias towards using existing models rather than building them from scratch, which could be seen as an example of monetary bias.
                        • According to Menlo Ventures' recent survey of more than 450 enterprise executives, almost 95% of AI spend is now on inference, or running AI models,
                        • Site Conflicts Of Interest (50%)
                          Sage Lazzaro has conflicts of interest on the topics of generative AI and Microsoft's partnership with OpenAI. The article does not disclose these conflicts.
                          • Author Conflicts Of Interest (50%)
                            Sage Lazzaro has conflicts of interest on the topics of generative AI and Microsoft's partnership with OpenAI. The article does not disclose these conflicts.

                            74%

                            • Unique Points
                              • The Federal Trade Commission (FTC) launched an inquiry on Thursday into investments and partnerships made by some of the biggest companies in the generative artificial intelligence space.
                              • “Our study will shed light on whether investments and partnerships pursued by dominant companies risk distorting innovation and undermining fair competition.”
                              • Microsoft's years-long relationship with OpenAI is the best known of the partnerships. Google and Amazon have more recently made multibillion-dollar deals with Anthropic, another San Francisco-based AI startup formed by former OpenAI leaders.
                              • “The US has assumed a global AI leadership position because important American companies are working together. Partnerships between independent companies like Microsoft and OpenAI, as well as among many others, are promoting competition and accelerating innovation.”
                              • Anthropic and Amazon declined to comment.
                              • “We’re scrutinizing whether these ties enable dominant firms to exert undue influence or gain privileged access in ways that could undermine fair competition.”
                            • Accuracy
                              • Microsoft's years-long relationship with OpenAI is the best known of the partnerships.
                              • Microsoft has obtained a seat on OpenAI's board, but does not have the right to vote on its decisions.
                              • ‾95% of AI spend is now on inference or running AI models as opposed to training them.
                            • Deception (50%)
                              The article is deceptive in several ways. Firstly, the author claims that the FTC's investigation will focus on whether these deals harm competition. However, this statement contradicts Khan's own words where she states that they are scrutinizing whether these ties enable dominant firms to exert undue influence or gain privileged access in ways that could undermine fair competition. Secondly, the author claims that Microsoft's relationship with OpenAI is the best known of the partnerships. However, this statement is false as Google and Amazon have also made multibillion-dollar deals with Anthropic, another San Francisco-based AI startup formed by former OpenAI leaders. Lastly, Khan states in her opening remarks at an AI forum that they are scrutinizing whether these ties enable dominant firms to exert undue influence or gain privileged access in ways that could undermine fair competition.
                              • Khan's opening remarks at an AI forum state that they are scrutinizing whether these ties enable dominant firms to exert undue influence.
                              • Microsoft is stated as having the best known relationship with OpenAI, but Google and Amazon have also made multibillion-dollar deals with Anthropic.
                              • The author claims the FTC's investigation will focus on whether these deals harm competition, but Khan states they are scrutinizing whether these ties enable dominant firms to exert undue influence.
                            • Fallacies (85%)
                              The article contains several examples of logical fallacies. The author uses an appeal to authority by stating that the FTC has launched an inquiry into AI deals made by Microsoft, OpenAI, Google and Amazon without providing any evidence or context for this claim. Additionally, the author makes a false dilemma when he states that partnerships between independent companies like Microsoft and OpenAI promote competition while ignoring other potential negative effects of these partnerships such as reduced innovation from smaller firms. The article also contains inflammatory rhetoric by stating that big tech's power has been threatened since Khan's appointment to the FTC, without providing any evidence or context for this claim.
                              • The author uses an appeal to authority when he states that the FTC has launched an inquiry into AI deals made by Microsoft, OpenAI, Google and Amazon. This statement is not supported by any evidence or context.
                            • Bias (100%)
                              None Found At Time Of Publication
                            • Site Conflicts Of Interest (50%)
                              Blake Montgomery has conflicts of interest on the topics of US trade regulator and Federal Trade Commission (FTC) as he is an employee of Google parent company Alphabet.
                              • Author Conflicts Of Interest (50%)
                                Blake Montgomery has conflicts of interest on the topics of US trade regulator and Federal Trade Commission (FTC) as he is an employee of Google parent company Alphabet.