The Sales Rep You‘re Talking to on LinkedIn Might Be AI-Generated: An In-Depth Look at the Disturbing New Trend

Artificial intelligence (AI) has become ubiquitous in our day-to-day lives, even if we don‘t always realize it‘s there. Consider some eye-opening statistics:

• 77% of the devices we use feature one form of AI or another (Source)
• AI is predicted to power 95% of all customer interactions by 2025 (Source)
• The number of businesses adopting AI grew 270% over the past four years (Source)

From the smart assistants in our homes to the chatbots on our favorite websites, AI has wormed its way into many aspects of our lives. Most of us have grown accustomed to interacting with AI in certain contexts, but a new trend is taking things to a disturbing level.

Uncovering a Network of Fake LinkedIn Profiles

Renee DiResta, Research Manager at the Stanford Internet Observatory, was going about her day when she received a typical-seeming sales pitch on LinkedIn from an account belonging to "Keenan Ramsey." But something about Keenan‘s headshot didn‘t seem quite right.

Upon closer inspection, DiResta noticed some uncanny details:

• The woman had just one earring
• Her eyes were unnaturally centered
• Strands of her hair seemed to disappear and reappear

Having a background in studying disinformation across social networks, DiResta had a hunch the image was artificially generated. She flagged it to her colleague Josh Goldstein, and the two embarked on an unsettling investigation.

Their findings? Over 1,000 LinkedIn profiles using faces generated by AI instead of real photos. And these were no crude avatars – advancements in machine learning have made AI-crafted faces extremely convincing.

In fact, research has shown that humans are fooled by AI-synthesized faces over 50% of the time. Worse yet, test subjects actually rated the fakes as more trustworthy than real faces (Source).

A deeper probe by NPR tied more than 70 real companies to these fake profiles, most of whom had enlisted outside marketing agencies and claimed to be unaware of the deceptive tactics carried out on their behalf (Source).

Inside the Hive: Estimating the Potential Reach

So just how much influence could 1,000 fake profiles have on a platform like LinkedIn? Let‘s break down some numbers:

Metric	Estimated Figure	Formula
Total Fake Profiles	1,000	Discovered by Stanford Internet Observatory
Avg. Connections Per Fake Profile	500	Conservative estimate based on typical LI user
Potential Fake Profile Connections	500,000	1,000 profiles x 500 connections each
Avg. Weekly Messages Sent Per Fake Profile	100	Roughly 14 messages per day
Potential Weekly Fake Messages Sent	100,000	1,000 profiles x 100 messages each

With these estimates, we‘re looking at a potential half a million fake 1st degree connections and up to 100,000 weekly messages sent by the AI impersonators. In other words – this ‘hive‘ of fakes likely made contact with a massive number of real professionals.

"A Bad Look for Our Profession": Sales Reps React

To gauge how this tactic is sitting with actual sales and marketing pros, I turned to some experts at HubSpot for their unfiltered takes. To put it bluntly: they hated it.

"It‘s hard enough to build trust and credibility in sales without fake AI profiles muddying the waters," said Jordan Benjamin, Principal Partner Sales Manager. "This is exactly the kind of thing that gives SDRs a bad name."

Megan Scott, Mid-Market Growth Specialist, was particularly aghast:

"I‘ve built my entire approach around being radically authentic with prospects. To think that bots are out there trying to replicate those human interactions is not only deceiving, it‘s a slap in the face to the art of sales."

However, one rep who preferred to remain anonymous offered a more pragmatic view:

"I get why some folks are up in arms, but let‘s be real – if these profiles are generating pipeline, there will always be companies willing to push the boundaries. Not saying it‘s right, just that it‘s reality."

And therein lies the rub. Can the perceived short-term gain of AI-driven lead generation outweigh the inevitable backlash and loss of trust? It‘s a classic case of "just because you can, doesn‘t mean you should."

No Better on the Recruiting Front

Lest you think this issue is contained to the world of sales, think again. The Stanford researchers found AI-generated profiles in recruiting roles as well.

I posed the same question to HubSpot‘s recruiting team – is this ever an acceptable tactic for filling candidate pipelines? The responses ranged from disapproving to downright indignant:

"Hard no. I don‘t care how hard a role is to hire for, you cannot build meaningful candidate relationships on a foundation of deception," said Holly Bisson, Executive Recruiter.

Her colleague Stephen Kelleher, Senior Executive Recruiter, didn‘t mince words:

"It‘s lazy, it‘s unethical, and it will absolutely destroy your employer brand. Any short-term gains will be completely wiped out by the long-term damage… I genuinely can‘t imagine a world where this is acceptable."

Tech Recruiter Katie Fung brought up another crucial point – the damage to the overall candidate experience:

"So much of recruiting comes down to the human touch. How can a bot effectively move a candidate through the process while providing a high-touch, white glove experience? It can‘t. All it can do is erode trust and make the company seem cold and unapproachable."

The Bigger Picture: Deepfakes and Detecting Imposters

The fake LinkedIn profiles are alarming enough, but they‘re really just a small glimpse of a much thornier issue: the rise of so-called "deepfakes," or synthetic media that‘s almost indistinguishable from the real thing.

With machine learning advancing at a frightening pace, it‘s only a matter of time before even more convincing fakes are unleashed – from LinkedIn profiles to Tinder matches to political videos.

So how can businesses and individuals guard against being duped? Unfortunately, there are no silver bullets yet. But some basic tips for spotting fakes include:

• Scrutinize the eyes: AI often struggles to generate perfectly symmetrical, naturally spaced eyes
• Look for blurred edges: Fuzzy or inconsistent boundaries between facial features and the background can be a telltale sign
• Beware of missing details: AI may omit small elements like earrings, stray hairs, wrinkles or scars
• Check for digital artifacts: Strange pixelation, color blotches or compression quirks around the face
• Cross-reference images: Try reverse image searching to see if a photo is popping up across multiple profiles/identities

As more businesses adopt AI (75% plan to actively implement it by the end of 2024 (Source)), it‘s critical to stay vigilant about vetting AI-powered tools and outside vendors using them.

The Path Forward: Harnessing AI‘s Potential for Good

Despite the many pitfalls and ethical quagmires, it would be shortsighted to write off AI as all bad. Quite the contrary – when used transparently and responsibly, it holds immense promise for enhancing business functions across the board.

That includes sales and recruiting, where AI can be an incredibly valuable augmentation to human-driven strategies. From predictive lead scoring to intelligent candidate matching to real-time conversation guidance, there are dozens of applications that don‘t require any deception.

The key is to keep humans firmly in the loop and in control. AI should be positioned as what it is – a powerful assistant that can streamline menial tasks and provide helpful insights. It should never mislead or manipulate.

Companies that get this balance right stand to reap major rewards. Consider these compelling data points:

• Businesses using AI for sales increase their leads by over 50% (Source)
• Recruiting teams using AI are 25% more likely to see significant efficiency gains (Source)
• 61% of companies using AI say it has made their business more profitable (Source)

Key Takeaways

While the discovery of 1000+ fake AI-powered sales reps and recruiters on LinkedIn is deeply unsettling, it‘s also an important wakeup call. As AI continues to advance, so too will bad actors finding manipulative ways to leverage it.

But that doesn‘t mean AI should be abandoned altogether. Forward-thinking companies should instead double down on developing ethical, transparent frameworks for harnessing its potential.

Some key takeaways:

1. Never try to pass AI off as human. Using AI is fine; pretending it‘s a real person is not. Period.

2. Prioritize human-led, AI-supported workflows. AI should assist and augment human teams, not replace them entirely.

3. Vet AI vendors thoroughly. Ask tough questions about data use and get specifics on how the AI is being implemented.

4. Provide AI literacy training. Make sure your team understands both the capabilities and limitations of the tools they‘re using.

5. Take the long-view on trust. It takes years to build trust and seconds to destroy it. Don‘t sacrifice hard-earned credibility for short-term gain.

Ultimately, the businesses that will thrive in the Age of AI are the ones that stay human-centric. By wielding powerful new technologies responsibly and always keeping real relationships at the fore, there‘s no limit to the amazing things we can achieve.