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The career tech industry is rapidly evolving, driven by digital transformation and the increasing demand for remote and hybrid work solutions. AI and machine learning are enhancing personalization, while specialized platforms cater to niche talent pools like early career professionals. The focus is on streamlining recruitment, improving candidate experience, and leveraging data for better hiring outcomes.
Total Assets Under Management (AUM)
Number of active college students and recent alumni in United States
~18-20 million
(Not explicitly stated CAGR)
This metric represents the primary user base for career platforms like Handshake.
- Includes college students and recent alumni.
- Indicates the pool of early career talent.
- Direct measure of potential platform users.
50 billion USD
Utilizing generative AI models to provide hyper-personalized career advice, resume critiques, and interview practice simulations tailored to individual student profiles and job aspirations.
Implementing blockchain technology to create secure, verifiable digital credentials for academic achievements, skills, and work experience, enhancing trust and efficiency in the hiring process.
Advanced AI-driven platforms that move beyond traditional degree-based hiring to match candidates with jobs based on granular, verified skill sets, promoting more equitable and efficient talent acquisition.
The White House's 'Blueprint for an AI Bill of Rights' (2022) outlines five principles for the design, use, and deployment of automated systems, aiming to protect individuals in an age of artificial intelligence.
This blueprint will push Handshake to ensure fairness, transparency, and accountability in its AI/ML-driven features for job recommendations and candidate matching, potentially requiring audits and clear disclosure.
The Department of Education's Federal Student Aid (FSA) office issues guidelines and regulations concerning the privacy and security of student financial and educational records, impacting how third-party platforms like Handshake can access and utilize university data.
These guidelines will reinforce Handshake's need for stringent data privacy protocols and transparent data handling practices, particularly concerning student educational and financial information shared by university partners.
Some states and cities (like New York City with Local Law 144, effective July 2023) are implementing laws regulating the use of automated employment decision tools (AEDT) to prevent algorithmic discrimination in hiring.
Such laws will directly impact Handshake's employer-facing features by requiring employers using its AI-powered talent sourcing and filtering tools to conduct bias audits and provide transparency notices to candidates.
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