The real question isn't how much AI your team is using. It's whether the work coming out the other side is actually better.
Read @IsabelleBiscuit's full @WSJ article: www.wsj.com/cio-journal/...
#ArtificialIntelligence #EnterpriseAI #FutureOfWork #AIAdoption #Leadership #EdgeFactor
You could tokenmaxx all day and still get unwanted outcomes.
The deeper issue is that AI adoption is genuinely hard to measure. Tokens are easy to count. Business outcomes are not. So companies are defaulting to the metric they can track, even if it's imperfect.
Others are pushing back hard. @indeed #CIO @amoisant said the company will stay "far, far away" from any #tokenmaxxing approach. His argument is that tracking #tokens is like measuring a sales team's performance by the number of cold calls they make.
Some executives are all in. @Get_Writer #CEO @may_habib said it plainly: "It is existential for us." She runs an internal token leaderboard, aware that it can be gamed. The logic is simple: if your people are not using AI constantly, your competitors who are will replace you.
Is gamifying #AI usage the path to real adoption, or just an expensive distraction?
Most companies investing in AI have no idea if employees are actually using it. So some are turning to a controversial fix: tracking every #token consumed and building leaderboards out of it.
#AI transformation is a #workforce transformation. The companies getting it right are treating it that way from day one.
Read the full article: www.bcg.com/publications...
#ArtificialIntelligence #WorkforceTransformation #Leadership #FutureOfWork #AIStrategy
#EdgeFactor
And it starts at the top. In future-built companies, 88% of managers actively role model AI use and incorporate it into daily decision making, versus just 25% at AI laggards. The #technology is ready. The question is whether your people are being set up to use it well.
They are four times more likely to have structured AI learning programs and to carve out protected time for employees to learn.
The remaining 70% comes from rethinking the people component.
70%. That is not a footnote. That is the whole story.
#FutureBuilt companies plan to #upskill more than 50% of their employees on AI, compared with 20% for laggards.
It is not the model they chose. It is not the budget they spent. It is how much they invested in their people. BCG's research breaks it down clearly: about 10% of value from AI comes from the algorithms themselves, and 20% from the technology required to implement them.
Only about 5% of organizations have managed to reap substantial financial gains from #AI. That same group also shows three-year total shareholder returns roughly four times higher than AI laggards.
So what separates them?
"Employees in future-built companies see AI not as something mandated from corporate headquarters but as something their direct managers are using every day."
Most companies are deploying AI. Very few are actually seeing it pay off.
The companies winning with AI are not the ones with the most advanced models. They are the ones who invested in their people just as much as their technology.
Read the full article: www.bain.com/insights/wan...
#ArtificialIntelligence #FutureOfWork #Leadership #AIStrategy #WorkforceTransformation
Trust matters too. Employees need to believe the company is investing to augment them, not replace them. That means reskilling, redeployment, and clear communication of intent. AI strategy without a people strategy is just automation with a better name.
Companies embracing this approach are seeing a 10% to 15% productivity lift depending on the domain, translating to 10% to 25% EBITDA gains. That is not a minor improvement. That is a fundamental shift in performance.
The organizations that get it right are not just deploying better tools. They are rebuilding how work actually gets done, and bringing their people along for the entire journey, not just the announcement.
According to Bain & Company, the missing piece is a people-first approach that links workflow modernization to workforce modernization directly. Treating the human side of AI as a downstream change management problem is a recipe for stagnation.
"To unlock AI's exponential productivity potential, companies must modernize workflow and workforce in tandem."
Most companies are spending heavily on #AI and still not seeing the returns they expected. Faster reports. Smaller wins. But nothing close to the transformation that was promised.
"The companies that #win with #AI will not be the ones that generate the most output. They will be the ones that spread their best thinking across the most people." -- Abdallah Chalhoub, #CTO at #ZeroGPT (@zerogpt.bsky.social) via @forbes.com
forbes.com/councils/for...
#FutureOfWork #EnterpriseAI
"The companies that are capturing real value from #ArtificialIntelligence aren't just automating. They're reshaping and reinventing how their businesses work. And they're pulling away."
Only 5% of companies are what BCG calls "future-built" for #AI.
www.bcg.com/press/30sept...
#AgenticAI
Bring your company into The Age of #AI and increase the velocity of your business. Accelerate innovation, eliminate bottlenecks, and turn operational complexity into competitive advantage with custom generative AI solutions engineered for ROI.
👋 hello@edgefactor.ai // @edgefactorai.bsky.social!