OpenAI vs. LinkedIn. Salesforce’s Co-CEO Has a Side Hustle. And GenAI’s Now Predicting Chemistry.

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The AI stack just got very personal. As in, here’s who you should hire, how much to pay them, and what tasks they’ll crush.

OpenAI is launching a hiring platform aimed squarely at LinkedIn, blending large language models with job-matching to “expand economic opportunity.” If that sounds fluffy, don’t worry. We read between the lines.

Today’s Daily Briefing dives into:

• How OpenAI’s recruiting tool could disrupt HR tech

• A new MIT breakthrough that teaches AI chemistry

• Why Bret Taylor is back, and bringing OpenAI with him

• Anthropic’s move to train tomorrow’s AI workforce

Let’s dig in.

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The Company That Helped Automate Jobs Now Wants to Help You Find One

The TL;DR: OpenAI just announced a new AI-powered hiring platform. The company that helped trigger mass existential dread about white-collar automation is now trying to match people with jobs. Specifically, it’s targeting non-degree roles and frontline hiring, where layoffs and displacement from AI are already happening.

The new product is part of OpenAI’s bigger push to “expand economic opportunity.” The tool, currently in pilot with companies like Ramp and Ironclad, uses GPT-4 to screen candidates, rewrite job descriptions into “skills,” and recommend who to hire based on what they can do, not where they went to school.

It’s marketed as expanding economic opportunity. But make no mistake, this is also a full-stack play to get OpenAI deeper into enterprise infrastructure.

The irony isn’t subtle.

• OpenAI’s models are actively replacing tasks in sales, customer support, coding, and admin, and now it wants to optimize who gets hired for what’s left.

• In some orgs, this may help re-skill and redistribute talent. In others, it’s automating the sorting hat for layoffs and leaner org charts.

• Framing it as “opportunity” avoids the real tension: What happens when the people displaced by AI are funneled into new roles managed by the same AI?

Why it matters:

• Enterprise recruiting is broken. Between keyword-stuffed resumes, ghosted candidates, and hiring funnels that make the DMV look efficient, there’s a real appetite for change.

• OpenAI’s got timing on its side. The job market is weird. Some teams are drowning in applicants, others can’t find a single qualified ML engineer. Automating and optimizing the funnel with LLMs could make hiring less painful (and more equitable, if done right).

• This is a strategic land grab. OpenAI is positioning itself as the gateway to economic opportunity. And if it becomes the platform that connects enterprise talent to enterprise need, that’s a new revenue stream and a whole new power dynamic.

Bigger Implications:

• LinkedIn has a target on its back. And so do ATS platforms like Greenhouse and Lever. ATS vendors, hiring platforms, and job boards may lose mid-market deals to OpenAI’s native tooling.

• Expect AI-native job descriptions. These will look more like workflows than roles, enabling plug-and-play hiring for tasks, not people. This could be great for skills-based hiring, potentially chaotic for compliance.

• Ethics and optics are now entangled. Teams deploying OpenAI tools to cut headcount may soon use its hiring platform to backfill roles. That’s a headline waiting to happen.

• The pressure to “reskill” is now productized. Enterprises may offload the burden of employee transition onto tools like this, whether or not it actually works.

• Expect integrations, not just interfaces. The product will likely hook into OpenAI’s existing APIs and enterprise offerings to automate more of the hiring funnel.

What to watch:

• Will this compete with ATS giants like Workday and Greenhouse, or integrate with them?

• Will it replace recruiting firms? (Some yes, some no.)

• How will OpenAI address bias, transparency, and regulatory concerns in hiring decisions?

And, of course: What does Microsoft think, given LinkedIn is part of its empire?

News Roundup

1. MIT’s GenAI predicts chemical reactions better than PhDs
   MIT researchers trained a transformer model to predict chemical reactions, and it nailed complex outputs with 90%+ accuracy. The implications for pharma R&D, materials science, and climate tech are huge.
   Read more →

2. Salesforce’s Bret Taylor is quietly launching an AI startup
   Taylor, former Salesforce co-CEO and OpenAI board member, raised $100M for a stealth AI company called Sierra. No product details yet, but with backing from Benchmark and Thrive, this is one to watch.
   Read more →

3. Anthropic signs AI education pledge for American youth
   The Claude-maker joined a White House-backed initiative to expand AI literacy in schools. The plan includes curriculum development, free tools, and support for teachers navigating LLMs in the classroom.
   Read more →

TL;DR:

• OpenAI’s new hiring platform could upend enterprise recruiting and talent matching

• Bias and transparency will be hot-button issues as AI starts screening applicants

• GenAI for chemistry is real, and could revolutionize drug development

• Bret Taylor’s new AI company has elite funding and no name (yet)

• Anthropic’s AI-for-education play signals long-term infrastructure thinking

It’s a good time to ask your HR team what AI tools they’re testing, and a better time to check your own resume for GPT-detectable cringe.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow’s Tech Landscape Together