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As seen in...

Picture of Erik Brynjolfsson

“GenAI won’t replace executives, but executives who use GenAI will replace those who don’t.”

Workhelix Co-founders, Erik Brynjolfsson and Andy McAfee
from the Harvard Business Review

Our product answers your key questions about Generative AI:

Our software constantly scans 450M+ publicly available data points across 20,000+ jobs and 250,000 tasks. We show you which jobs will see the biggest acceleration opportunities with GenAI, and which tasks can be accelerated with available technology. Incorporate our data into a cohesive strategy to realize value from GenAI.

Which of our jobs will be most transformed?

How can GenAI help our employees do their work faster?

Where should we start?

How should I create a cohesive strategy on GenAI for my organization?

Use Workhelix to make confident decisions on GenAI.

Workhelix enables your organization to navigate the Generative AI opportunity landscape with data and rigor, rather than relying on gut and instinct. Use our platform to assess your opportunities, then create a strategic plan.

GenAI QuickScan

How big is your GenAI opportunity? See a sample company in these industries.*

Sample Company in the Biotechnology Sector Industry

Total Estimated Headcount
Estimated headcount for this sample company from publicly observable data sources.
>1,000 FTEs
Total Estimated Annual Revenue
Estimated annual revenue for this sample company from publicly observable data sources.
>$1 Billion

GenAI Acceleration Opportunity by Functional Areas

A function's acceleration opportunity is an average of each job's acceleration opportunity score weighted by the estimated headcount. Each job’s acceleration score is between 0 (none of its tasks can be accelerated by GenAI) to 1 (all of its tasks can be accelerated.).

Legend

Highest GenAI Opportunity Areas

Lowest GenAI Opportunity Areas

Bubble Size represents percent of estimated payroll

30%

20%

10%

Top 5 Jobs by GenAI Acceleration Opportunity

1
Medical Research Scientist
0.92
2
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3
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4
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5
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Contact us to get your company’s results!

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* Industries available include: Biotechnology, Communication Services, Consumer Goods, Cybersecurity, E-commerce, Energy, Finance, Fintech, Health Care, Industrials, Information Technology, Materials, Real Estate, Renewable Energy, Utilities

Our Research

Our team has produced some of the most cited works in Information and Economics.

GPTs are GPTs

In collaboration with OpenAI, we assess the impact of Large-Language Models on the labor workforce. 80% of the U.S. workforce could have at least one tenth of their tasks affected by GPTs.

Read paper
What Can Machines Learn? And What Does It Mean for Occupations and the Economy?

We find that (i) ML affects different occupations than earlier automation waves; (ii) most occupations include at least some SML tasks; (iii) few occupations are fully automatable using ML; and (iv) realizing the potential of ML usually requires redesign of job task content.

Read paper
Generative AI at Work

The emergence of generative artificial intelligence (AI) has attracted significant attention, but there have been few studies of its economic impact. This is, to our knowledge, the first study of the impact of generative AI when deployed at scale in the workplace.

Read paper
The Second Machine Age

A New York Times Bestseller. A “fascinating” (Thomas L. Friedman, New York Times) look at how digital technology is transforming our work and our lives.

Buy book

Founding Team

Picture of Erik Brynjolfsson
Erik Brynjolfsson
Co-Founder & Co-Chairman of the Board

Erik is the Director of the Stanford Digital Economy Lab, a Professor at the Stanford Institute for Human-Centered AI, and a Research Associate at the National Bureau of Economic Research. Brynjolfsson is among the most cited researchers in information and economics and his work has been recognized with Ten Best Paper awards and five patents.

Andy McAfee
Co-Founder & Co-Chairman of the Board

Andy is the Co-Director of the MIT Initiative on the Digital Economy and also the Principal Research Scientist at the MIT Sloan School of Management. Throughout his career at MIT and Harvard, he has studied how digital technologies are changing the business world. He has advised many companies, governments, and international organizations.​

James Milin
Co-Founder and CEO

James brings experience and DNA from top technology firms including Google and Amazon. He previously co-founded a venture-funded AI platform business in the Bay Area and was a founding member of the AWS Private Equity sales team. He has spearheaded digital transformations and cloud migrations for hundreds of mid-market and enterprise customers.

Daniel Rock
Co-Founder and Director of Research

Daniel is an Assistant Professor at the Wharton School at the University of Pennsylvania. His research focuses on the economic impact of digital technologies on markets, companies, and the Future of Work. Daniel received his Ph.D. from MIT and is a research fellow at MIT and Stanford.

Our Investors

We're Hiring!

See below for a list of open positions. If you don't see a suitable position and would like to work with us, send us an email at hiring (at) workhelix.com with your resume. We'd love to meet you!

FAQs

The work my company does is unique; how can you help me?

At the core level, the kinds of work that GenAI is well suited to do (data analysis and summarization, text generation, image generation, etc) are tasks that most companies do in some way, shape, or form! With an internal analysis, we can take in your specific titles and tasks to provide the most contextual analysis tailored to your company.

The specifics frequently come into play when selecting the right tool to begin implementing GenAI, as most have already been fine-tuned and trained for various industries. While we suggest some tools that may be suitable for your use case, it’s up to you to evaluate which would be most effective based on your company and technology infrastructure. We will then measure the benefits you’re seeing with your chosen tool, to ensure success.

How long does your analysis take, what does it cost, and what do I get?

If you are short on time and want a directional analysis to start, our analysis based on externally observable data takes around a couple weeks to deliver after mutual acceptance of data. We will deliver a tailored slide deck, PDF document, and a dashboard login. Cost is determined based on company size.

If you want to drill down into the specific roles and tasks within your company, our analysis based on your internal, non-PII data takes around a month to deliver after mutual acceptance of data. We will deliver a tailored slide deck, PDF document, and dashboard login. Cost is determined based on company size. We recommend this route to come up with a more contextual operational plan to adopt GenAI.

What data do you ask for with the internal analysis?

We ask for non-PII data only. The data we ask is easily exportable from your HRIS system, and includes fields like job family, job title, headcount, average base salary, job description, all designed to provide a view into your organization that is familiar and easily understandable to you.

Can’t I do this task-based analysis myself?

While it is possible to get a basic analysis on your own, you would need access to supplementary data and an abundance of time and effort. Workhelix’s technology ensures completeness and credibility. Not only will your results be more accurate, but also you will save time and resources, making decisions quickly and with more confidence.

We’re evaluating related work with a big consulting firm. Do you replace them or complement them?

Our work is highly complementary to the work that big consulting firms are well-equipped to do. We provide the objective source of truth and quantitative analysis that these firms can then take and execute with you. Throughout the GenAI adoption process, we’ll provide the objective measurements and benefits you're capturing, which both you and the consulting firm will use in order to adjust your business plan and make impactful decisions.

Do you build models for us?

No, but we work with a handful of partners we trust to help you execute in this area, and we’re happy to make introductions.

Do you recommend GenAI tools?

We suggest some tools for you to evaluate as a starting point, enabling you to pick the right tool that factors in your own considerations such as technology ecosystem, infrastructure, security, etc. We do not explicitly endorse any tools.

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