Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.

Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.

The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”

The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.

“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.

The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.

Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.

The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)

Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.

The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.

Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”

Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)

And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.

The lowest level is “not exploring or investing,” which represents little to no interest.

Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.

Copywriting is an important trade. Writers are often able to breathe life into otherwise formulaic websites peddling products which, sans the copy from those writers, might very well suffer a fate of relative obscurity. However, copywriters are also expensive, and their duties—indispensable as they may be—can be replicated fairly easily by little more than basic machine learning.

The question is this: Can AI replace copywriters? That’s a question that CopyAI hopes to answer with a resounding “yes”.

CopyAI is an “AI powered [sic] assistant for writing and brainstorming marketing copy.” This makes it a powerful tool to complement human writing, at the very least; is it enough to put people like me out of a job?

From my experience with the tool, no—at least, not yet. CopyAI can’t create an engagement strategy, respond to customers, spin testimonials to evoke heart-felt reactions, or analyze its own trends.

But that doesn’t detract from how freaking cool it is in practice.

CopyAI asks for very little from its user. Upon selecting a style of copy—Facebook Market, website carousel, or even page header, for example–you are prompted to enter the title of your product and a couple of short sentences describing it in the context of your ad. CopyAI does the rest, and while the results can be hilariously out of touch, you’re able to pick the ones that sound the most like your desired copy and then generate more options that sound similar.

The service has a huge number of different options for advertisement types, and you can use multiple different copy projects in one specific campaign.

Naturally, CopyAI has a few flaws, most of which replicate the problems we’ve seen with machine learning-based writing in the past: It doesn’t sound quite human enough to be comfortable. However, that’s a problem for a skilled copywriter to solve—and quickly, thus making something like CopyAI a potentially preferable choice for mass copywriting.

So, again, we ask: Is there a way for CopyAI to replace copywriters entirely in the future? Probably not. The copy it produces is intriguing, and often close enough that underfunded campaigns might find some value in using it short-term, but it doesn’t have the punch that a real person can pack into an advertisement.

That said, combining CopyAI with a small team of copywriters to reduce burnout—and repetition—could make for some very efficient work on the back end.

With just a two-word tweet, Elon Musk popularized messaging app, Signal, earlier this month. “Use Signal,” the tech mogul tweeted on January 7. Musk urged his followers to start using Signal because of WhatsApp’s updated privacy policy announcement, which raised concerns among people.

On January 6, WhatsApp users received an in-app alert informing them about the company’s updated data-sharing policy. The message asked users to accept the new terms and conditions where they gave WhatsApp consent to share their information with Facebook. The updated policy would be effective starting on February 8, and users who didn’t agree to the changes would no longer be able to use the app.

WhatsApp’s new privacy policy reads, “As part of the Facebook family of companies, WhatsApp receives information from, and shares information with, this family of companies. We may use the information we receive from them, and they may use the information we share with them, to help operate, provide, improve, understand, customize, support, and market our Services and their offerings.”

The policy verbiage is concerning, but this isn’t the first time WhatsApp has shared some sort of data with Facebook. The company has been sharing data with Facebook since 2016. Back then, the companies announced sharing data would help “improve your Facebook ads and products experiences.”

But, Facebook’s data privacy practices are ones that have been controversial over the years and don’t garner much trust. Musk is recommending people to start using Signal because it offers two key things.

The app offers end-to-end encryption on ALL messages. It protects all text, video, audio, and photo messages, which can only be read by the sender and recipient. If a message is intercepted by anyone else, all they will get is gibberish.

Also, other than your phone number, the free app does not store or collect any other user data. The company is a nonprofit and relies on grants and donations to support development. It isn’t owned by any tech companies and doesn’t have any ads.

“The smallest of events helped trigger the largest of outcomes,” the app’s Executive chairman Brian Acton said in an interview with TechCrunch. “We’re also excited that we are having conversations about online privacy and digital safety and people are turning to Signal as the answer to those questions.”

In a Tweet, the company posted screenshots of app installs jumping from 10 million to 50 million. With Musk’s tweet skyrocketing Signal’s downloads, Acton does have a very good reason to be “excited”.