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<h2 id="history">History</h2> <p class="note">For broader coverage of this topic, see <a href="/facts/History_of_artificial_intelligence/1wNLDHbB">History of artificial intelligence</a>.</p> <p>In 2012, a <a href="/facts/University_of_Toronto/FpGjQNm9">University of Toronto</a> research team used <a href="/facts/Artificial_neural_networks/6V1jMlkx">artificial neural networks</a> and <a href="/facts/Deep_learning/JLuwD3ea">deep learning</a> techniques to lower the error rate below 25% for the <a href="/facts/AlexNet/FUFE1Xov">first time</a> during the <a href="/facts/ImageNet/DPaK4GLC">ImageNet</a> challenge for object recognition in <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a>. The event catalyzed the AI boom later that decade, when many alumni of the ImageNet challenge became leaders in the tech industry.<a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a><a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a> In March 2016, <a href="/facts/AlphaGo/wJ9P2bBf">AlphaGo</a> beat <a href="/facts/Lee_Sedol/6gcrlulE">Lee Sedol</a> in <a href="/facts/AlphaGo_versus_Lee_Sedol/W81s0T9c">a five-game match</a>, marking the first time a computer Go program had beaten a <a href="/facts/Go_ranks_and_ratings/UTQ26AS2">9-dan</a> professional without handicap. This match led to significant increase in public interest in AI.<a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a> The <a href="/facts/Generative_artificial_intelligence/ykT3GGyT">generative AI</a> race began in earnest in 2016 or 2017 following the founding of <a href="/facts/OpenAI/V7WVK1t4">OpenAI</a> and earlier advances made in <a href="/facts/Graphics_processing_unit/PTK1RQVp">graphics processing units</a> (GPUs), the amount and quality of training data, <a href="/facts/Generative_adversarial_network/SGNuGrlo">generative adversarial networks</a>, <a href="/facts/Diffusion_model/ay78DDLn">diffusion models</a> and <a href="/facts/Transformer_(machine_learning_model)/cDbjx6a8">transformer architectures</a>.<a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a><a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a> </p><p>In 2018, the Artificial Intelligence Index, an initiative from <a href="/facts/Stanford_University/JEQeF9z2">Stanford University</a>, reported a global explosion of commercial and research efforts in AI. Europe published the largest number of papers in the field that year, followed by <a href="/facts/China/lTjIXY5p">China</a> and <a href="/facts/North_America/djNjCQIl">North America</a>.<a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a> Technologies such as <a href="/facts/AlphaFold/DwBhppKC">AlphaFold</a> led to more accurate predictions of <a href="/facts/Protein_folding/rf3nR2Y1">protein folding</a> and improved the process of <a href="/facts/Drug_development/k34jgV4B">drug development</a>.<a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a> Economists and lawmakers began to discuss the potential impact of AI more frequently.<a class="footnote-ref" id="fnref:12" href="#fn:12"><sup>12</sup></a><a class="footnote-ref" id="fnref:13" href="#fn:13"><sup>13</sup></a> By 2022, <a href="/facts/Large_language_models/WnogWVJY">large language models</a> (LLMs) saw increased usage in chatbot applications; <a href="/facts/Text-to-image_model/ez6APLzp">text-to-image-models</a> could generate images that appeared to be human-made;<a class="footnote-ref" id="fnref:14" href="#fn:14"><sup>14</sup></a> and <a href="/facts/Speech_synthesis/ceTczTv9">speech synthesis</a> software was able to replicate human speech efficiently.<a class="footnote-ref" id="fnref:15" href="#fn:15"><sup>15</sup></a> </p><p>According to metrics from 2017 to 2021, the United States outranks the rest of the world in terms of <a href="/facts/Venture_capital/yeH3m7zo">venture capital</a> funding, the number of startups, and patents granted in AI.<a class="footnote-ref" id="fnref:16" href="#fn:16"><sup>16</sup></a><a class="footnote-ref" id="fnref:17" href="#fn:17"><sup>17</sup></a> Scientists who have <a href="/facts/Immigration_to_the_United_States/KT75X7Uc">immigrated to the U.S.</a> play an outsized role in the country's development of AI technology.<a class="footnote-ref" id="fnref:18" href="#fn:18"><sup>18</sup></a><a class="footnote-ref" id="fnref:19" href="#fn:19"><sup>19</sup></a> Many of them were educated in China, prompting debates about national security concerns amid <a href="/facts/China%25E2%2580%2593United_States_relations/wt6S375h">worsening relations</a> between the two countries.<a class="footnote-ref" id="fnref:20" href="#fn:20"><sup>20</sup></a> </p><p>Experts have framed AI development as a competition for economic and geopolitical advantage between the United States and China.<a class="footnote-ref" id="fnref:21" href="#fn:21"><sup>21</sup></a> In 2021, an analyst for the <a href="/facts/Council_on_Foreign_Relations/KqNdt1A4">Council on Foreign Relations</a> outlined ways that the U.S. could maintain its position amid progress made by China.<a class="footnote-ref" id="fnref:22" href="#fn:22"><sup>22</sup></a><a class="footnote-ref" id="fnref:23" href="#fn:23"><sup>23</sup></a> In 2023, an analyst at the <a href="/facts/Center_for_Strategic_and_International_Studies/ogpVs6o1">Center for Strategic and International Studies</a> advocated for the U.S. to use its <a href="/facts/Dominance_in_AI_technology/Fu0XBBRL">dominance in AI technology</a> to drive its foreign policy instead of relying on <a href="/facts/Trade_globalization/DHWk7DDB">trade agreements</a>.<a class="footnote-ref" id="fnref:24" href="#fn:24"><sup>24</sup></a> </p> <h2 id="advances">Advances</h2> <p class="note">See also: <a href="/facts/Progress_in_artificial_intelligence/SX9RqKh2">Progress in artificial intelligence</a></p> <h3>Biomedical</h3> <p>The <a href="/facts/AlphaFold/DwBhppKC">AlphaFold</a> 2 score of more than 90 in <a href="/facts/CASP/A7fWoph9">CASP</a>'s <a href="/facts/Global_distance_test/pXwm1nkI">global distance test (GDT)</a> is considered a significant achievement in <a href="/facts/Computational_biology/GxgNfwcX">computational biology</a><a class="footnote-ref" id="fnref:25" href="#fn:25"><sup>25</sup></a> and great progress towards a decades-old grand challenge of biology.<a class="footnote-ref" id="fnref:26" href="#fn:26"><sup>26</sup></a> The <a href="/facts/Structural_biology/XRkPtHYv">structural biologist</a> and <a href="/facts/Nobel_Prize_in_Chemistry/8Nb8Ajjy">Nobel Prize</a> winner <a href="/facts/Venki_Ramakrishnan/pUKfp6GN">Venki Ramakrishnan</a> called the result "a stunning advance on the protein folding problem",<a class="footnote-ref" id="fnref:27" href="#fn:27"><sup>27</sup></a> adding that "It has occurred decades before many people in the field would have predicted."<a class="footnote-ref" id="fnref:28" href="#fn:28"><sup>28</sup></a><a class="footnote-ref" id="fnref:29" href="#fn:29"><sup>29</sup></a> </p><p>The ability to predict <a href="/facts/Protein_structure/BptnTs9X">protein structures</a> accurately based on the constituent <a href="/facts/Amino_acid_sequence/QNBoERdu">amino acid sequence</a> is expected to accelerate <a href="/facts/Drug_discovery/LLdDNvjy">drug discovery</a> and enable a better understanding of diseases.<a class="footnote-ref" id="fnref:30" href="#fn:30"><sup>30</sup></a><a class="footnote-ref" id="fnref:31" href="#fn:31"><sup>31</sup></a><a class="footnote-ref" id="fnref:32" href="#fn:32"><sup>32</sup></a> </p> <h3>Images and videos</h3> <p>Text-to-image models captured widespread public attention when OpenAI announced <a href="/facts/DALL-E/rkWL8P49">DALL-E</a>, a <a href="/facts/Transformer_(machine_learning_model)/cDbjx6a8">transformer</a> system, in January 2021.<a class="footnote-ref" id="fnref:33" href="#fn:33"><sup>33</sup></a> A successor capable of generating complex and realistic images, DALL-E 2, was unveiled in April 2022.<a class="footnote-ref" id="fnref:34" href="#fn:34"><sup>34</sup></a> An alternative text-to-image model, <a href="/facts/Midjourney/ETtS6Nhm">Midjourney</a>, was released in July 2022.<a class="footnote-ref" id="fnref:35" href="#fn:35"><sup>35</sup></a> Another alternative, open-source model <a href="/facts/Stable_Diffusion/BaXu5Vc8">Stable Diffusion</a>, released in August 2022.<a class="footnote-ref" id="fnref:36" href="#fn:36"><sup>36</sup></a> </p><p>Following other text-to-image models, <a href="/facts/Language_model/FntSpg0j">language model</a>-powered <a href="/facts/Text-to-video/4w3n3Het">text-to-video</a> platforms such as <a href="/facts/Runway_(company)/DwygGe4e">Runway</a>,<a class="footnote-ref" id="fnref:37" href="#fn:37"><sup>37</sup></a> OpenAI's <a href="/facts/Sora_(text-to-video_model)/dgTLj2Ix">Sora</a>, DAMO,<a class="footnote-ref" id="fnref:38" href="#fn:38"><sup>38</sup></a> Make-A-Video,<a class="footnote-ref" id="fnref:39" href="#fn:39"><sup>39</sup></a> Imagen Video<a class="footnote-ref" id="fnref:40" href="#fn:40"><sup>40</sup></a> and Phenaki<a class="footnote-ref" id="fnref:41" href="#fn:41"><sup>41</sup></a> can generate video from text as well as image prompts.<a class="footnote-ref" id="fnref:42" href="#fn:42"><sup>42</sup></a> </p> <h3>Language</h3> <p><a href="/facts/GPT-3/MlKhkbSe">GPT-3</a> is a <a href="/facts/Large_language_model/WnogWVJY">large language model</a> that was released in 2020 by <a href="/facts/OpenAI/V7WVK1t4">OpenAI</a> and is capable of generating high-quality human-like text.<a class="footnote-ref" id="fnref:43" href="#fn:43"><sup>43</sup></a> The tool has been credited with spurring and accelerating the AI boom following its release.<a class="footnote-ref" id="fnref:44" href="#fn:44"><sup>44</sup></a><a class="footnote-ref" id="fnref:45" href="#fn:45"><sup>45</sup></a><a class="footnote-ref" id="fnref:46" href="#fn:46"><sup>46</sup></a> An upgraded version called GPT-3.5 was used in <a href="/facts/ChatGPT/ptB1y6J5">ChatGPT</a>, which later garnered attention for its detailed responses and articulate answers across many domains of knowledge.<a class="footnote-ref" id="fnref:47" href="#fn:47"><sup>47</sup></a> A new version called <a href="/facts/GPT-4/MuXdd4sW">GPT-4</a> was released on March 14, 2023, and was used in the <a href="/facts/Microsoft_Bing/r2pIK5HT">Microsoft Bing</a> search engine.<a class="footnote-ref" id="fnref:48" href="#fn:48"><sup>48</sup></a><a class="footnote-ref" id="fnref:49" href="#fn:49"><sup>49</sup></a> Other language models have been released, such as <a href="/facts/PaLM/wG7N5sz5">PaLM</a> and <a href="/facts/Gemini_(language_model)/eD5D8xBo">Gemini</a> by <a href="/facts/Google/GT9Sugza">Google</a><a class="footnote-ref" id="fnref:50" href="#fn:50"><sup>50</sup></a> and <a href="/facts/LLaMA/k8q7YN1H">LLaMA</a> by <a href="/facts/Meta_Platforms/ylApt16y">Meta Platforms</a>. </p><p>In January 2023, <a href="/facts/DeepL_Write/AyrgvHEK">DeepL Write</a>, an AI-based tool to improve <a href="/facts/Monolingualism/jgB87HTe">monolingual</a> texts, was released.<a class="footnote-ref" id="fnref:51" href="#fn:51"><sup>51</sup></a> </p> <h3>Music and voice</h3> <p>In 2016, <a href="/facts/Google_DeepMind/n5ehBwCx">Google DeepMind</a> unveiled <a href="/facts/WaveNet/AGgv3qvj">WaveNet</a>, a <a href="/facts/Deep_learning/JLuwD3ea">deep learning</a> network that produced English, Mandarin, and piano music.<a class="footnote-ref" id="fnref:52" href="#fn:52"><sup>52</sup></a> </p><p><a href="/facts/15.ai/7mLlwU0j">15.ai</a>, a free <a href="/facts/Text-to-speech/ceTczTv9">text-to-speech</a> web application launched in March 2020, was an early development in the AI boom that used AI for <a href="/facts/Voice_synthesis/ceTczTv9">voice synthesis</a>. The platform could generate convincing character voices using as little as 15 seconds of training data.<a class="footnote-ref" id="fnref:53" href="#fn:53"><sup>53</sup></a> The application gained widespread attention in early 2021 for its ability to synthesize emotionally expressive speech from popular fictional characters,<a class="footnote-ref" id="fnref:54" href="#fn:54"><sup>54</sup></a><a class="footnote-ref" id="fnref:55" href="#fn:55"><sup>55</sup></a> becoming particularly influential in online content creation.<a class="footnote-ref" id="fnref:56" href="#fn:56"><sup>56</sup></a><a class="footnote-ref" id="fnref:57" href="#fn:57"><sup>57</sup></a> </p><p>By April 2024, full length original songs generated by a pseudonymous creator named "<a href="/facts/Glorb/0lsDMTJf">Glorb</a>" using the voices of cartoon characters from the <i><a href="/facts/SpongeBob_SquarePants/YRd8lcnr">SpongeBob SquarePants</a></i> cartoon were being listened to millions of times on Spotify and YouTube. Glorb is not affiliated with the copyright holder or the original voice performers.<a class="footnote-ref" id="fnref:58" href="#fn:58"><sup>58</sup></a><a class="footnote-ref" id="fnref:59" href="#fn:59"><sup>59</sup></a> </p><p><a href="/facts/ElevenLabs/r8jl6ovj">ElevenLabs</a> allowed users to upload voice samples and create audio that sounds similar to the samples. The company was criticized<a class="footnote-ref" id="fnref:60" href="#fn:60"><sup>60</sup></a> after controversial<a class="footnote-ref" id="fnref:61" href="#fn:61"><sup>61</sup></a><a class="footnote-ref" id="fnref:62" href="#fn:62"><sup>62</sup></a> statements were generated based on the vocal styles of celebrities, public officials, and other famous individuals,<a class="footnote-ref" id="fnref:63" href="#fn:63"><sup>63</sup></a> raising concerns[<i>among whom?</i>] that the technology could make <a href="/facts/Deepfake/GnXTv4uq">deepfakes</a> even more convincing.<a class="footnote-ref" id="fnref:64" href="#fn:64"><sup>64</sup></a> An unofficial song created using the voices of musicians <a href="/facts/Drake_(musician)/yJ5SndUt">Drake</a> and <a href="/facts/The_Weeknd/Nw5tlcvs">The Weeknd</a> raised questions[<i>among whom?</i>] about the ethics and legality of similar software.<a class="footnote-ref" id="fnref:65" href="#fn:65"><sup>65</sup></a> </p> <h2 id="impact">Impact</h2> <h3>Energy</h3> <p>Electricity consumed by hardware used for AI has increased demands on power grids, which has led to prolonged use of fossil fuel power plants which would otherwise have been deactivated.<a class="footnote-ref" id="fnref:66" href="#fn:66"><sup>66</sup></a><a class="footnote-ref" id="fnref:67" href="#fn:67"><sup>67</sup></a><a class="footnote-ref" id="fnref:68" href="#fn:68"><sup>68</sup></a> </p><p>Microsoft, Google, and Amazon have all invested in existing or proposed nuclear power plants to meet these demands.<a class="footnote-ref" id="fnref:69" href="#fn:69"><sup>69</sup></a><a class="footnote-ref" id="fnref:70" href="#fn:70"><sup>70</sup></a> In September 2024, Microsoft signed a deal with <a href="/facts/Constellation_Energy/6IwwIASr">Constellation Energy</a> to purchase power from a reactor at <a href="/facts/Three_Mile_Island/dHyKDP3J">Three Mile Island</a> which had been shut down in 2019. The reactor is set to reopen in 2028 to provide power to Microsoft's data centers. The reactor is next to the unit which caused the <a href="/facts/Three_Mile_Island_accident/TWPp30Iq">worst nuclear power accident in US history</a> in 1979.<a class="footnote-ref" id="fnref:71" href="#fn:71"><sup>71</sup></a><a class="footnote-ref" id="fnref:72" href="#fn:72"><sup>72</sup></a><a class="footnote-ref" id="fnref:73" href="#fn:73"><sup>73</sup></a> </p> <h3>Cultural</h3> <p>During the AI boom, different groups emerged, ranging from the ones that want to <a href="/facts/Effective_accelerationism/kKvmrRhf"> accelerate</a> AI development as quickly as possible to those that are more concerned about AI safety and would like to "decelerate".<a class="footnote-ref" id="fnref:74" href="#fn:74"><sup>74</sup></a> </p> <h3>Business and economy</h3> <p>Some economists have been optimistic about the potential of the current wave of AI to boost productivity and economic growth. Notably, <a href="/facts/Stanford_University/JEQeF9z2">Stanford University</a> economist <a href="/facts/Erik_Brynjolfsson/87FLBFYf">Erik Brynjolfsson</a>, in a series of articles has argued for an "AI-powered Productivity Boom"<a class="footnote-ref" id="fnref:75" href="#fn:75"><sup>75</sup></a> and a "Coming Productivity Boom".<a class="footnote-ref" id="fnref:76" href="#fn:76"><sup>76</sup></a> At the same time, others like <a href="/facts/Northwestern_University/4dunJHBf">Northwestern University</a> economist <a href="/facts/Robert_J._Gordon/RuyDK2Fy">Robert Gordon</a> remain more pessimistic.<a class="footnote-ref" id="fnref:77" href="#fn:77"><sup>77</sup></a> Brynjolfsson and Gordon have made a formal bet, registered at <a href="/facts/Long_bets/3vcbwKRJ">long bets</a>, about the rate of productivity growth in the 2020s, to be resolved at the end of the decade.<a class="footnote-ref" id="fnref:78" href="#fn:78"><sup>78</sup></a> </p><p><a href="/facts/Big_Tech/n3mdHnMK">Big Tech</a> companies view the AI boom as both opportunity and threat; Alphabet's Google, for example, realized that ChatGPT could be an <a href="/facts/Innovator%2527s_dilemma/KvVeqKUV">innovator's dilemma</a>-like replacement for <a href="/facts/Google_Search/LFnCogKt">Google Search</a>. The company merged DeepMind and <a href="/facts/Google_Brain/yp0eeKSX">Google Brain</a>, a rival internal unit, to accelerate its AI research.<a class="footnote-ref" id="fnref:79" href="#fn:79"><sup>79</sup></a> </p><p>The <a href="/facts/Market_capitalization/LhcMMLHs">market capitalization</a> of <a href="/facts/Nvidia/8QfCgqbu">Nvidia</a>, whose GPUs are in high demand to train and use generative AI models, rose to over US$3.3 trillion, making it the world's <a href="/facts/List_of_public_corporations_by_market_capitalization/3zIFBx5h">largest company by market capitalization</a> as of June 19, 2024.<a class="footnote-ref" id="fnref:80" href="#fn:80"><sup>80</sup></a> </p><p>In 2023, <a href="/facts/San_Francisco/cb9l7hbC">San Francisco</a>'s population increased for the first time in years, with the boom cited as a contributing factor.<a class="footnote-ref" id="fnref:81" href="#fn:81"><sup>81</sup></a> </p><p>Machine learning resources, hardware or software can be bought and licensed off-the-shelf or as <a href="/facts/Cloud_computing/guhg0FGV">cloud</a> platform services.<a class="footnote-ref" id="fnref:82" href="#fn:82"><sup>82</sup></a> This enables wide and publicly available uses, spreading AI skills.<a class="footnote-ref" id="fnref:83" href="#fn:83"><sup>83</sup></a> Over half of businesses consider AI to be a top organizational priority and to be the most crucial technological advancement in many decades.<a class="footnote-ref" id="fnref:84" href="#fn:84"><sup>84</sup></a> </p><p>Across industries, generative AI tools are becoming widely available through the AI boom and are increasingly used in businesses across regions.<a class="footnote-ref" id="fnref:85" href="#fn:85"><sup>85</sup></a> A main area of use is <a href="/facts/Data_analytics/CNtARxLW">data analytics</a>. Seen as an incremental change, machine learning improves industry performance.<a class="footnote-ref" id="fnref:86" href="#fn:86"><sup>86</sup></a> Businesses report AI to be most useful in increased process efficiency, improved decision-making and strengthening of existing services and products.<a class="footnote-ref" id="fnref:87" href="#fn:87"><sup>87</sup></a> Through adoption, AI has already positively influenced revenue generation in multiple business functions. Businesses have experienced revenue increases of up to 16%, mainly in manufacturing, <a href="/facts/Risk_management/xGhxtxdp">risk management</a> and <a href="/facts/Research_and_development/2h5UddUu">research and development</a>.<a class="footnote-ref" id="fnref:88" href="#fn:88"><sup>88</sup></a> </p><p>AI and generative AI investments have been increasing with the boom, increasing from $18 billion in 2014 to $119 billion in 2021. Most notably, the share of generative AI investments was around 30% in 2023.<a class="footnote-ref" id="fnref:89" href="#fn:89"><sup>89</sup></a> Further, generative AI businesses have seen considerable <a href="/facts/Venture_capital/yeH3m7zo">venture capital</a> investments even though regulatory and economic outlooks remain in question.<a class="footnote-ref" id="fnref:90" href="#fn:90"><sup>90</sup></a> </p><p>Tech giants capture the bulk of the monetary gains from AI and act as major suppliers to or customers of private users and other businesses.<a class="footnote-ref" id="fnref:91" href="#fn:91"><sup>91</sup></a><a class="footnote-ref" id="fnref:92" href="#fn:92"><sup>92</sup></a> </p> <h2 id="concerns">Concerns</h2> <p>Inaccuracy, <a href="/facts/Cybersecurity/7E5dIy7G">cybersecurity</a> and <a href="/facts/Intellectual_property/PqHW9mVP">intellectual property</a> infringement are considered to be the main risks associated with the boom, although not many actively attempt to mitigate the risk.<a class="footnote-ref" id="fnref:93" href="#fn:93"><sup>93</sup></a> Large language models have been criticized for reproducing <a href="/facts/Algorithmic_bias/vHaHsIdV">biases</a> inherited from their training data, including discriminatory biases related to ethnicity or gender.<a class="footnote-ref" id="fnref:94" href="#fn:94"><sup>94</sup></a> As a <a href="/facts/Dual-use_technology/h1UHINIl">dual-use technology</a>, AI carries risks of misuse by malicious actors.<a class="footnote-ref" id="fnref:95" href="#fn:95"><sup>95</sup></a> As AI becomes more sophisticated, it may eventually become cheaper and more efficient than human workers, which could cause <a href="/facts/Technological_unemployment/96aJLKzD">technological unemployment</a> and a transition period of economic turmoil.<a class="footnote-ref" id="fnref:96" href="#fn:96"><sup>96</sup></a><a class="footnote-ref" id="fnref:97" href="#fn:97"><sup>97</sup></a> Public reaction to the AI boom has been mixed, with some hailing the new possibilities that AI creates, its sophistication and potential for benefiting humanity;<a class="footnote-ref" id="fnref:98" href="#fn:98"><sup>98</sup></a><a class="footnote-ref" id="fnref:99" href="#fn:99"><sup>99</sup></a> while others denounced it for <a href="/facts/Technological_unemployment/96aJLKzD">threatening job security</a><a class="footnote-ref" id="fnref:100" href="#fn:100"><sup>100</sup></a><a class="footnote-ref" id="fnref:101" href="#fn:101"><sup>101</sup></a> and for giving '<a href="/facts/Uncanny_valley/3eBmP76K">uncanny</a>' or flawed responses.<a class="footnote-ref" id="fnref:102" href="#fn:102"><sup>102</sup></a> </p> <h3>Dominance by tech giants</h3> <p>The commercial AI scene is dominated by American <a href="/facts/Big_Tech/n3mdHnMK">Big Tech</a> companies such as <a href="/facts/Alphabet_Inc./K3QvP6ns">Alphabet Inc.</a>, <a href="/facts/Amazon_(company)/YzUTUVE8">Amazon</a>, <a href="/facts/Apple_Inc./oTJYta3k">Apple Inc.</a>, <a href="/facts/Meta_Platforms/ylApt16y">Meta Platforms</a>, and <a href="/facts/Microsoft/nGIDDXdx">Microsoft</a>, whose investments in this area have surpassed those from U.S.-based <a href="/facts/Venture_capital/yeH3m7zo">venture capitalists</a>.<a class="footnote-ref" id="fnref:103" href="#fn:103"><sup>103</sup></a><a class="footnote-ref" id="fnref:104" href="#fn:104"><sup>104</sup></a><a class="footnote-ref" id="fnref:105" href="#fn:105"><sup>105</sup></a> Some of these players already own the vast majority of existing <a href="/facts/Cloud_computing/guhg0FGV">cloud infrastructure</a>, AI chips, and <a href="/facts/Computing/Kghtm9fX">computing</a> power from <a href="/facts/Data_center/DS5wJY41">data centers</a>, allowing them to entrench further in the marketplace.<a class="footnote-ref" id="fnref:106" href="#fn:106"><sup>106</sup></a><a class="footnote-ref" id="fnref:107" href="#fn:107"><sup>107</sup></a> AI-related patents have been hoarded by the largest American tech companies as well, with IBM leading the way with 1,200.<a class="footnote-ref" id="fnref:108" href="#fn:108"><sup>108</sup></a> </p> <h3>Intellectual property</h3> <p>Tech companies such as Meta, OpenAI and <a href="/facts/Nvidia/8QfCgqbu">Nvidia</a> have been sued by artists, writers, journalists, and software developers for using their work to train AI models.<a class="footnote-ref" id="fnref:109" href="#fn:109"><sup>109</sup></a><a class="footnote-ref" id="fnref:110" href="#fn:110"><sup>110</sup></a> Early generative AI chatbots, such as the GPT-1, used the <a href="/facts/BookCorpus/IUf51cTw">BookCorpus</a>, and books are still the best source of training data for producing high-quality language models. ChatGPT aroused suspicion that its sources included libraries of pirated content after the chatbot produced detailed summaries of every part of <a href="/facts/Sarah_Silverman/hAeCfpv3">Sarah Silverman</a>'s <i><a href="/facts/The_Bedwetter/Vb3RSgTE">The Bedwetter</a></i> and verbatim excerpts of <a href="/facts/Paywall/42qFQy1U">paywalled</a> content from <i><a href="/facts/The_New_York_Times/T9marWVX">The New York Times</a></i>.<a class="footnote-ref" id="fnref:111" href="#fn:111"><sup>111</sup></a><a class="footnote-ref" id="fnref:112" href="#fn:112"><sup>112</sup></a> In protest of the <a href="/facts/UK_government/3zLlUWbx">UK government</a> holding consultations on how copyrighted music can legally be used to train AI models,<a class="footnote-ref" id="fnref:113" href="#fn:113"><sup>113</sup></a> more than a thousand British musicians released an album with no sounds, entitled <i><a href="/facts/Is_This_What_We_Want%253F/uGbsLsMl">Is This What We Want?</a></i><a class="footnote-ref" id="fnref:114" href="#fn:114"><sup>114</sup></a> </p> <h3>Likeness and impersonation</h3> <p class="note">See also: <a href="/facts/Deepfake/GnXTv4uq">Deepfake</a></p> <p>The ability to generate convincing, personalized messages as well as realistic images may facilitate large-scale <a href="/facts/Misinformation/L8N5r8np">misinformation</a>, manipulation, and propaganda.<a class="footnote-ref" id="fnref:115" href="#fn:115"><sup>115</sup></a> </p><p>On April 19, 2024, as part of <a href="/facts/Drake%25E2%2580%2593Kendrick_Lamar_feud/enfbnJV5">an ongoing feud with fellow rapper Kendrick Lamar</a>, the artist <a href="/facts/Drake_(musician)/yJ5SndUt">Drake</a> released the <a href="/facts/Diss_track/eXtU92DH">diss track</a> "<a href="/facts/Taylor_Made_Freestyle/3NyRDAqy">Taylor Made Freestyle</a>", which featured AI-generated vocals imitating the voices of <a href="/facts/Tupac_Shakur/Gg89PToc">Tupac Shakur</a> and <a href="/facts/Snoop_Dogg/t9fuGW1t">Snoop Dogg</a>.<a class="footnote-ref" id="fnref:116" href="#fn:116"><sup>116</sup></a> Shakur's estate threatened to sue over the use of Shakur's likeness,<a class="footnote-ref" id="fnref:117" href="#fn:117"><sup>117</sup></a> saying that it constituted a violation of Shakur's <a href="/facts/Personality_rights/z0NqdfQe">personality rights</a>. </p><p>On May 20, 2024, following the release of a demo of updates to OpenAI's ChatGPT Voice Mode feature a week earlier,<a class="footnote-ref" id="fnref:118" href="#fn:118"><sup>118</sup></a><a class="footnote-ref" id="fnref:119" href="#fn:119"><sup>119</sup></a> actor <a href="/facts/Scarlett_Johansson/BLEDlMMx">Scarlett Johansson</a> issued a statement<a class="footnote-ref" id="fnref:120" href="#fn:120"><sup>120</sup></a><a class="footnote-ref" id="fnref:121" href="#fn:121"><sup>121</sup></a> in relation to the "Sky" voice shown in the demo, accusing OpenAI of producing it to be very similar to her own, and her portrayal of the artificial intelligence voice assistant Samantha in the film <i><a href="/facts/Her_(2013_film)/LS0yVR2H">Her</a></i> (2013), despite Johansson refusing an earlier offer from the company to provide her voice for the system. The agent of the unnamed voice actress who voiced Sky stated that she had recorded her lines in her natural speaking voice and that OpenAI had not mentioned the movie <i>Her</i> nor Johansson.<a class="footnote-ref" id="fnref:122" href="#fn:122"><sup>122</sup></a><a class="footnote-ref" id="fnref:123" href="#fn:123"><sup>123</sup></a> </p><p>Several incidents involving sharing of non-consensual <a href="/facts/Deepfake_pornography/jKwjdjt9">deepfake pornography</a> have occurred. In late January 2024, <a href="/facts/Taylor_Swift_deepfake_pornography_controversy/eKxpAFVt">deepfake images of American musician Taylor Swift</a> proliferated. Several experts have warned that deepfake pornography is more quickly created and disseminated, due to the relative ease of using the technology.<a class="footnote-ref" id="fnref:124" href="#fn:124"><sup>124</sup></a> Canada introduced federal legislation targeting sharing of non-consensual sexually explicit AI-generated photos; most provinces already had such laws.<a class="footnote-ref" id="fnref:125" href="#fn:125"><sup>125</sup></a> In the United States, the DEFIANCE Act was introduced in March 2024.<a class="footnote-ref" id="fnref:126" href="#fn:126"><sup>126</sup></a> </p> <h3>Environment</h3> <p>A large amount of electricity is needed to power generative AI products,<a class="footnote-ref" id="fnref:127" href="#fn:127"><sup>127</sup></a> making it more difficult for companies to achieve <a href="/facts/Net_zero_emissions/RQn7yNdI">net zero emissions</a>. From 2019 to 2024, Google's <a href="/facts/Greenhouse_gas_emissions/Cu9nXPHE">greenhouse gas emissions</a> increased by 50%.<a class="footnote-ref" id="fnref:128" href="#fn:128"><sup>128</sup></a> </p> <h3>Biosecurity and cybersecurity</h3> <p>AI is expected by researchers of the <a href="/facts/Center_for_AI_Safety/Xue8JUJn">Center for AI Safety</a> to improve the "accessibility, success rate, scale, speed, stealth and potency of <a href="/facts/Cyberattack/6PSQzq7y">cyberattacks</a>", potentially causing "significant geopolitical turbulence" if it reinforces attack more than defense.<a class="footnote-ref" id="fnref:129" href="#fn:129"><sup>129</sup></a><a class="footnote-ref" id="fnref:130" href="#fn:130"><sup>130</sup></a> Concerns have been raised about the potential capability of future AI systems to engineer particularly lethal and contagious <a href="/facts/Pathogen/axMXtV1M">pathogens</a>.<a class="footnote-ref" id="fnref:131" href="#fn:131"><sup>131</sup></a><a class="footnote-ref" id="fnref:132" href="#fn:132"><sup>132</sup></a> </p><p>The AI boom is said to have started an arms race in which large companies are competing against each other to have the most powerful AI model on the market, with speed and profit prioritized over safety and user protection.<a class="footnote-ref" id="fnref:133" href="#fn:133"><sup>133</sup></a><a class="footnote-ref" id="fnref:134" href="#fn:134"><sup>134</sup></a><a class="footnote-ref" id="fnref:135" href="#fn:135"><sup>135</sup></a> </p> <h3>Sentience and human extinction</h3> <p class="note">Further information: <a href="/facts/AI_takeover/xE6EAuTD">AI takeover</a></p> <p>Rapid progress in artificial intelligence has also sparked interest in whether some future AI systems will be <a href="/facts/Sentience/LQwKbI6F">sentient</a> or otherwise worthy of moral consideration,<a class="footnote-ref" id="fnref:136" href="#fn:136"><sup>136</sup></a> and whether they should be granted rights.<a class="footnote-ref" id="fnref:137" href="#fn:137"><sup>137</sup></a> </p><p>Industry leaders have further warned in the <a href="/facts/Statement_on_AI_risk_of_extinction/8QkGfA2q">statement on AI risk of extinction</a> that humanity might irreversibly <a href="/facts/AI_takeover/xE6EAuTD">lose control</a> over a sufficiently advanced <a href="/facts/Artificial_general_intelligence/vbxwaq8t">artificial general intelligence</a> (AGI).<a class="footnote-ref" id="fnref:138" href="#fn:138"><sup>138</sup></a> </p> <h2 id="see-also">See also</h2> <ul> <li>Technology portal</li></ul> <ul><li><a href="/facts/AI_effect/rgu48qxq">AI effect</a></li> <li><a href="/facts/AI_slop/2x3j7GsL">AI slop</a></li> <li><a href="/facts/AI_winter/DLpU1wxl">AI winter</a>, a period of reduced funding and interest in artificial intelligence research</li> <li><a href="/facts/History_of_artificial_intelligence/1wNLDHbB">History of artificial intelligence</a></li> <li><a href="/facts/History_of_artificial_neural_networks/cTyGnmYV">History of artificial neural networks</a></li> <li><a href="/facts/Hype_cycle/45D3Ec7B">Hype cycle</a></li> <li><a href="/facts/Progress_in_artificial_intelligence/SX9RqKh2">Progress in artificial intelligence</a></li> <li><a href="/facts/Regulation_of_artificial_intelligence/aCQ0lqGW">Regulation of artificial intelligence</a></li> <li><a href="/facts/Technological_singularity/xcg4M6AF">Technological singularity</a></li></ul> <h2 id="further-reading">Further reading</h2> <ul><li>Chen, Caiwei (March 26, 2025). <a href="https://www.technologyreview.com/2025/03/26/1113802/china-ai-data-centers-unused/">"China built hundreds of AI data centers to catch the AI boom. Now many stand unused"</a>. <i><a href="/facts/MIT_Technology_Review/tk8zUzg2">MIT Technology Review</a></i>. Retrieved March 27, 2025.</li> <li>Heath, Alex (December 5, 2024). <a href="https://www.theverge.com/2024/12/5/24313373/ai-spending-enterprise-profits-investment-menlo-ventures-openai-anthropic-decoder-podcast"><i>Why investors don’t mind that AI is a money pit</i></a>. <i><a href="/facts/The_Verge/GNkdYcJe">The Verge</a></i>. Retrieved March 16, 2025.</li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="https://www.pbs.org/wgbh/frontline/documentary/in-the-age-of-ai/">"In the Age of AI"</a>. <a href="/facts/Frontline_(American_TV_program)/4UH7tlvR"><i>Frontline</i></a>. Season 38. Episode 6. November 5, 2019. <a href="/facts/PBS/E6q9udH8">PBS</a>. <a href="/facts/WGBH-TV/lNkVeCCy">WGBH</a>. Retrieved June 4, 2023.</li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Knight, Will. "Google's Gemini Is the Real Start of the Generative AI Boom". Wired. Retrieved December 12, 2023. <a href="https://www.wired.com/story/google-gemini-generative-ai-boom/" target="_blank">https://www.wired.com/story/google-gemini-generative-ai-boom/</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Meredith, Sam (December 6, 2023). "A 'thirsty' generative AI boom poses a growing problem for Big Tech". CNBC. Retrieved December 12, 2023. <a href="https://www.cnbc.com/2023/12/06/water-why-a-thirsty-generative-ai-boom-poses-a-problem-for-big-tech.html" target="_blank">https://www.cnbc.com/2023/12/06/water-why-a-thirsty-generative-ai-boom-poses-a-problem-for-big-tech.html</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>Bommasani, Rishi (March 17, 2023). "AI Spring? Four Takeaways from Major Releases in Foundation Models". Stanford Institute for Human-Centered Artificial Intelligence. Archived from the original on May 7, 2023. Retrieved May 16, 2023. <a href="https://hai.stanford.edu/news/ai-spring-four-takeaways-major-releases-foundation-models" target="_blank">https://hai.stanford.edu/news/ai-spring-four-takeaways-major-releases-foundation-models</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"The coming of AI Spring". www.mckinsey.com. Retrieved December 7, 2023. <a href="https://www.mckinsey.com/mgi/overview/in-the-news/the-coming-of-ai-spring" target="_blank">https://www.mckinsey.com/mgi/overview/in-the-news/the-coming-of-ai-spring</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>"The data that transformed AI research—and possibly the world". Quartz. July 26, 2017. <a href="https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world" target="_blank">https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>Lohr, Steve (November 30, 2017). "A.I. Will Transform the Economy. But How Much, and How Soon?". The New York Times. <a href="https://www.nytimes.com/2017/11/30/technology/ai-will-transform-the-economy-but-how-much-and-how-soon.html" target="_blank">https://www.nytimes.com/2017/11/30/technology/ai-will-transform-the-economy-but-how-much-and-how-soon.html</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>"Match 1 – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo". YouTube. March 8, 2016. Archived from the original on March 29, 2017. Retrieved March 9, 2016. <a href="https://www.youtube.com/watch?v=vFr3K2DORc8&t=1h57m" target="_blank">https://www.youtube.com/watch?v=vFr3K2DORc8&t=1h57m</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>"Everything You Need To Know About The Artificial Intelligence Boom". Nasdaq.com. Investing Daily. August 22, 2018. <a href="https://www.nasdaq.com/articles/everything-you-need-know-about-artificial-intelligence-boom-2018-08-22" target="_blank">https://www.nasdaq.com/articles/everything-you-need-know-about-artificial-intelligence-boom-2018-08-22</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>"Why am I not terrified of AI?". Shtetl-Optimized. March 6, 2023. Archived from the original on May 12, 2023. Retrieved March 19, 2023. <a href="https://scottaaronson.blog/?p=7064" target="_blank">https://scottaaronson.blog/?p=7064</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>Statt, Nick (December 12, 2018). "The AI boom is happening all over the world, and it's accelerating quickly". The Verge. <a href="https://www.theverge.com/2018/12/12/18136929/artificial-intelligence-ai-index-report-2018-machine-learning-global-progress-research" target="_blank">https://www.theverge.com/2018/12/12/18136929/artificial-intelligence-ai-index-report-2018-machine-learning-global-progress-research</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>Wong, Matteo (December 11, 2023). "Science Is Becoming Less Human". The Atlantic. Retrieved December 12, 2023. <a href="https://www.theatlantic.com/technology/archive/2023/12/ai-scientific-research/676304/" target="_blank">https://www.theatlantic.com/technology/archive/2023/12/ai-scientific-research/676304/</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>Lohr, Steve (November 30, 2017). "A.I. Will Transform the Economy. But How Much, and How Soon?". The New York Times. <a href="https://www.nytimes.com/2017/11/30/technology/ai-will-transform-the-economy-but-how-much-and-how-soon.html" target="_blank">https://www.nytimes.com/2017/11/30/technology/ai-will-transform-the-economy-but-how-much-and-how-soon.html</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> <li id="fn:13"><p>"Nine charts that really bring home just how fast AI is growing". MIT Technology Review. <a href="https://www.technologyreview.com/2018/12/12/138682/data-that-illuminates-the-ai-boom/" target="_blank">https://www.technologyreview.com/2018/12/12/138682/data-that-illuminates-the-ai-boom/</a> <a href="#fnref:13" class="footnote-back-ref">↩</a></p></li> <li id="fn:14"><p>Vincent, James (May 24, 2022). "All these images were generated by Google's latest text-to-image AI". The Verge. Archived from the original on February 15, 2023. Retrieved March 15, 2023. <a href="https://www.theverge.com/2022/5/24/23139297/google-imagen-text-to-image-ai-system-examples-paper" target="_blank">https://www.theverge.com/2022/5/24/23139297/google-imagen-text-to-image-ai-system-examples-paper</a> <a href="#fnref:14" class="footnote-back-ref">↩</a></p></li> <li id="fn:15"><p>Cox, Joseph (January 31, 2023). "AI-Generated Voice Firm Clamps Down After 4chan Makes Celebrity Voices for Abuse". Vice. Archived from the original on May 7, 2023. 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