AI company impact profile

Google DeepMind

Google’s consolidated AI research and product arm, including Gemini and AlphaFold.

Current measured public footprint60

Rank #3 · Large observable footprint

Falling attention

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Data effective Jul 18, 2026, 12:00 AM UTC · recomputed Jul 19, 2026, 6:30 AM UTC

How to read 60

A footprint measurement, not a verdict

The score normalizes public attention, official developer activity, evidence-backed gains, evidence-backed problems, and source breadth across the measured company set.

It does not mean: that Google DeepMind is the “best,” safest, most valuable, or most responsible company. Documented problems contribute to visible footprint rather than being hidden as a negative subtraction.

Read the complete methodology →

Methodology version: visible-impact-v1
Evidence confidence: High
Accountability risk: Moderate
7-day movement: Not enough history
30-day movement: Not enough history

Normalized components

What is inside the score

30% weight27

Public attention

30-day English Wikipedia pageviews, normalized across the measured set

25% weight63

Developer ecosystem

stars and public repositories in the company’s official GitHub organization

20% weight100

Evidence-backed gains

independent stored sources attached to company-linked gain readings

100

20% weight56

Evidence-backed problems

independent stored sources attached to company-linked problem readings

5% weight100

Evidence breadth

unique independent sources in the published Truvace record

100

Observed history

Measured-impact score over all available time

Fixed 0–100 scale

Google DeepMind · circle

Lines connect observed snapshots only. Gaps do not mean a score stayed unchanged. Diamond markers indicate a methodology-version transition.

View the history as a data table

Persisted measured-impact scores and methodology versions
Effective date	Google DeepMind
Jul 18, 2026	61 · visible-impact-v1

No interpolation

Score, rank, gain, and problem history

Most recent persisted score snapshots for Google DeepMind
Effective	Score	Rank	Gain	Problem	Method
Jul 18, 2026, 12:00 AM UTC	61 (+1)	#3 (0)	100	56	visible-impact-v1
Jul 18, 2026, 12:00 AM UTC	60	#3	100	56	visible-impact-v1

Evidence profile

Coverage and gaps

Associated records: 8
Gain claims: 6
Problem claims: 2
High-evidence claims: 0
Independent sources: 15
Date range represented: 2026-07-18 to 2026-07-18

Sector distribution

Health3
Science2
Education1
Entertainment1
Lifestyle1

Known evidence gap

Bundled distribution makes organic usage difficult to separate from default placement.

Linked to the record

Associated gain and problem evidence

Claims are sorted by their existing Sourced Index impact score. Each card links to its Truvace record and original sources; company marketing is not treated as independent proof.

Google DeepMind

6 gain · 2 problem · 0 high-evidence

gainScienceHigh evidenceImpact 72
A three-track neural network that jointly processes sequence, distance, and coordinate information enables accurate prediction of protein structures and protein-protein complexes, approaching DeepMind's accuracy.
In work published August 20, 2021, researchers built on the CASP14-era DeepMind approach to protein folding. They developed RoseTTAFold, a three-track network that processes sequence, distance, and coordinate information simultaneously, achieving accuracies approaching those of DeepMind.
Jul 13, 2026
5 sources
- SciencePeer-reviewed
- Annual Review of BiophysicsPeer-reviewed
- Acta Crystallographica Section D Structural BiologyPeer-reviewed
- MedComm – Future MedicinePeer-reviewed
- Quarterly Reviews of BiophysicsPeer-reviewed
gainScienceHigh evidenceImpact 72
AlphaFold provides a computational method that regularly predicts protein three-dimensional structures with atomic accuracy from amino acid sequence alone, even without homologous structures.
On July 15, 2021, Nature published the AlphaFold study describing a redesigned neural network that predicts the three-dimensional structure a protein will adopt based solely on its amino acid sequence. The authors reported validation in CASP14, where the model regularly achieved atomic accuracy even when no homologous structure was available and performed competitively with experimental structures.
Jul 13, 2026
5 sources
- NaturePeer-reviewed
- International Journal of Molecular SciencesPeer-reviewed
- MoleculesPeer-reviewed
- Nature MethodsPeer-reviewed
- Genome BiologyPeer-reviewed
gainHealthModerate evidenceImpact 69
LLM chatbots answered periodontal patient questions with scientific accuracy comparable to expert periodontologists while scoring higher on completeness and empathy.
A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.
Jul 19, 2026
1 source
- BMC Oral HealthPeer-reviewed
problemHealthModerate evidenceImpact 69
Some chatbot models showed lower conciseness & focus and clarity, producing longer less-focused answers that may make it harder for patients to maintain focus and perceive information in a structured manner.
A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.
Jul 19, 2026
1 source
- BMC Oral HealthPeer-reviewed
gainLifestyleModerate evidenceImpact 68
Young immigrant men aged 21-35 in Helsinki used generative AI tools like ChatGPT and Gemini to lower language and knowledge barriers while searching recipes, adapting dishes to cultural or religious preferences, and learning cooking techniques.
What happened: In Helsinki, young immigrant men aged 21-35 described routing everyday eating through digital platforms, using apps and chats to find recipes, adapt dishes, and learn techniques, with generative AI tools lowering language and knowledge barriers while also creating frictions like advice overload and cultural mismatch.
Jul 13, 2026
1 source
- Social InclusionPeer-reviewed
gainEntertainmentModerate evidenceImpact 56
AI music generation platforms are reducing time and cost of song creation for musicians and creators in India.
On July 13, 2026, Free Press Journal published a roundup of six AI music generation tools presented as best options for musicians in India, naming Suno, Udio, ElevenLabs Music, Beatoven.ai, Google Gemini with Lyria 3 and Weights.gg.
Jul 14, 2026
1 source
- Free Press JournalJournalism
gainHealthModerate evidenceImpact 56
AlphaGenome analyzes up to 1m letters of DNA to predict how non-coding mutations alter gene regulation across cell types, helping researchers pinpoint genetic drivers of disease and design targeted DNA sequences.
On 28 January 2026, Google DeepMind announced AlphaGenome, an AI model that predicts how mutations in non-coding DNA affect gene regulation. Trained on public human and mouse genetics databases, it can assess up to 1m letters of DNA at once to forecast impacts on gene switching across tissues.
Jul 14, 2026
1 source
- The GuardianJournalism
problemEducationModerate evidenceImpact 56
Assigning sixth-grade students in a Brooklyn middle school to use Google Gemini for feedback on a science experiment risks teaching students to outsource thinking to machines instead of peer discussion and revision
In October, a sixth-grade student at a middle school in Brooklyn received an assignment to create a science experiment and then ask Google Gemini for feedback. His mother, Kelly Clancy, objected to the teacher and later founded Parents for AI Caution in Educational Spaces, which is pushing for a two-year moratorium on AI in New York City public schools.
Jul 12, 2026
1 source
- The GuardianJournalism

Recorded changes

Evidence events

Jul 12, 2026, 8:54 PM UTCproblem claimemerging evidence · impact 56Open claim
Jul 13, 2026, 5:22 AM UTCgain claimmoderate evidence · impact 68Open claim
Jul 13, 2026, 9:53 PM UTCgain claimmoderate evidence · impact 72Open claim
Jul 13, 2026, 10:15 PM UTCgain claimmoderate evidence · impact 72Open claim
Jul 14, 2026, 6:26 AM UTCgain claimemerging evidence · impact 56Open claim
Jul 14, 2026, 6:28 AM UTCgain claimemerging evidence · impact 56Open claim
Jul 19, 2026, 12:57 AM UTCgain claimmoderate evidence · impact 69Open claim
Jul 19, 2026, 12:57 AM UTCproblem claimmoderate evidence · impact 69Open claim

AI company impact profile

Loading company evidence…

Loading company impact history and evidence.

A footprint measurement, not a verdict

The score normalizes public attention, official developer activity, evidence-backed gains, evidence-backed problems, and source breadth across the measured company set.

Read the complete methodology →

Persisted measured-impact scores and methodology versions

Effective date

Google DeepMind

Jul 18, 2026

61 · visible-impact-v1

Most recent persisted score snapshots for Google DeepMind

Effective

Score

Rank

Gain

Problem

Method

Jul 18, 2026, 12:00 AM UTC

61 (+1)

#3 (0)

100

visible-impact-v1

Jul 18, 2026, 12:00 AM UTC

100

visible-impact-v1

Google DeepMind

6 gain · 2 problem · 0 high-evidence

gainScienceHigh evidenceImpact 72
A three-track neural network that jointly processes sequence, distance, and coordinate information enables accurate prediction of protein structures and protein-protein complexes, approaching DeepMind's accuracy.
In work published August 20, 2021, researchers built on the CASP14-era DeepMind approach to protein folding. They developed RoseTTAFold, a three-track network that processes sequence, distance, and coordinate information simultaneously, achieving accuracies approaching those of DeepMind.
Jul 13, 2026
5 sources
- SciencePeer-reviewed
- Annual Review of BiophysicsPeer-reviewed
- Acta Crystallographica Section D Structural BiologyPeer-reviewed
- MedComm – Future MedicinePeer-reviewed
- Quarterly Reviews of BiophysicsPeer-reviewed
gainScienceHigh evidenceImpact 72
AlphaFold provides a computational method that regularly predicts protein three-dimensional structures with atomic accuracy from amino acid sequence alone, even without homologous structures.
On July 15, 2021, Nature published the AlphaFold study describing a redesigned neural network that predicts the three-dimensional structure a protein will adopt based solely on its amino acid sequence. The authors reported validation in CASP14, where the model regularly achieved atomic accuracy even when no homologous structure was available and performed competitively with experimental structures.
Jul 13, 2026
5 sources
- NaturePeer-reviewed
- International Journal of Molecular SciencesPeer-reviewed
- MoleculesPeer-reviewed
- Nature MethodsPeer-reviewed
- Genome BiologyPeer-reviewed
gainHealthModerate evidenceImpact 69
LLM chatbots answered periodontal patient questions with scientific accuracy comparable to expert periodontologists while scoring higher on completeness and empathy.
A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.
Jul 19, 2026
1 source
- BMC Oral HealthPeer-reviewed
problemHealthModerate evidenceImpact 69
Some chatbot models showed lower conciseness & focus and clarity, producing longer less-focused answers that may make it harder for patients to maintain focus and perceive information in a structured manner.
A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.
Jul 19, 2026
1 source
- BMC Oral HealthPeer-reviewed
gainLifestyleModerate evidenceImpact 68
Young immigrant men aged 21-35 in Helsinki used generative AI tools like ChatGPT and Gemini to lower language and knowledge barriers while searching recipes, adapting dishes to cultural or religious preferences, and learning cooking techniques.
What happened: In Helsinki, young immigrant men aged 21-35 described routing everyday eating through digital platforms, using apps and chats to find recipes, adapt dishes, and learn techniques, with generative AI tools lowering language and knowledge barriers while also creating frictions like advice overload and cultural mismatch.
Jul 13, 2026
1 source
- Social InclusionPeer-reviewed
gainEntertainmentModerate evidenceImpact 56
AI music generation platforms are reducing time and cost of song creation for musicians and creators in India.
On July 13, 2026, Free Press Journal published a roundup of six AI music generation tools presented as best options for musicians in India, naming Suno, Udio, ElevenLabs Music, Beatoven.ai, Google Gemini with Lyria 3 and Weights.gg.
Jul 14, 2026
1 source
- Free Press JournalJournalism
gainHealthModerate evidenceImpact 56
AlphaGenome analyzes up to 1m letters of DNA to predict how non-coding mutations alter gene regulation across cell types, helping researchers pinpoint genetic drivers of disease and design targeted DNA sequences.
On 28 January 2026, Google DeepMind announced AlphaGenome, an AI model that predicts how mutations in non-coding DNA affect gene regulation. Trained on public human and mouse genetics databases, it can assess up to 1m letters of DNA at once to forecast impacts on gene switching across tissues.
Jul 14, 2026
1 source
- The GuardianJournalism
problemEducationModerate evidenceImpact 56
Assigning sixth-grade students in a Brooklyn middle school to use Google Gemini for feedback on a science experiment risks teaching students to outsource thinking to machines instead of peer discussion and revision
In October, a sixth-grade student at a middle school in Brooklyn received an assignment to create a science experiment and then ask Google Gemini for feedback. His mother, Kelly Clancy, objected to the teacher and later founded Parents for AI Caution in Educational Spaces, which is pushing for a two-year moratorium on AI in New York City public schools.
Jul 12, 2026
1 source
- The GuardianJournalism