By Peter Weddle, Founder & CEO TAtech
(without AI assistance; any mistakes are all mine)
👉 Propel Summit is the first-ever conference for Investors and Buyers interested in Human Advancement AI and the Builders who are developing its applications in TAtech, HRtech, EDtech and WORKtech. It will be held at Boston University on January 20-21, 2027. Details at PropelSummit.ai.
In mid-July, a group of almost 200 leading technologists, scientists and academicians, including 16 Nobel laureates, issued a statement on AI. Its most compelling conclusion was the following:
“Economists, policymakers and technology leaders must act now to understand the economics of transformative AI and to build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society.”
The statement was a critical first step in helping to ensure that this wonderfully capable but still developing technology serves people as well organizations, workers as well as employers, the casual user as well as the expert. But that’s all the statement was: A beginning. What’s needed now is operational interpretations of that call to arms. Human Advancement AI represents such a next step.
Now, to be clear, Human Advancement AI is related to the even more recent debate about the dangers of overly rapid AI development. It does make use of that technology, but its focus is not on the training and alignment of ever more powerful models, but rather on the use of the technology to promote peoples’ agency and wellbeing. It is not frontier AI, but rather homestead AI.
Even so, Human Advancement AI represents a radically new perspective. For the past quarter century or more, we’ve thought of human-focused technologies in silos. While we recognized that TAtech, HRtech, EDtech and WORKtech overlapped here and there, we saw them as fundamentally different kinds of technologies. They were conceived separately, funded and developed separately and implemented separately in users’ tech stacks.
The advent of AI provides an alternative approach. It does not devalue the importance of separate applications, but instead leverages what’s similar among them. In effect, Human Advancement AI eliminates the silos. It is a meta-category encompassing TAtech, HRtech, EDtech and WORKtech solutions not because they are identical, but because they are different offspring with a common technological parent. No matter how unalike they may be in application, they are all derived from the same source.
To be seen as Human Advancement AI, however, these applications must also meet two irreducible criteria. They must be both AI-native and people-first. They do not include solutions that are AI-washed (no matter how eloquent their marketing copy) or organization-first solutions (no matter how many goosebumps they give the CFO). Instead, they are conceived, developed and implemented with AI for the sole purpose of improving the human state.
The term “AI-native” signals a key distinction of Human Advancement AI solutions, but one with an increasingly troubled meaning. It has unfortunately become a marketing buzzphrase, all-too-often used inaccurately to claim AI authenticity. To be clear, therefore, in Human Advancement AI, the term AI-native adheres to IBM’s definition: It is a solution “built with AI at its foundation, meaning the product cannot function without its AI components. Unlike AI-enhanced or AI-enabled products, where AI is added to improve existing features, AI-native products integrate AI into every layer of the system—from data collection and processing to decision-making, user experience, and system optimization.”
Why is being AI-native important? Having that technology at the core of an application means that its corporate users can reimagine how work gets done. They can reengineer their workflows so that AI takes on what McKinsey calls “routine, data-intensive, or complex problem-solving tasks,” so human workers can focus on “higher-value activities like strategy, creativity, and relationship management.” It doesn’t simply increase the efficiency of inefficient processes and organizational structures, but instead creates an entirely new labor paradigm that optimizes the performance of both “partners” in the workplace: people and technology.
But being AI-native is not enough to qualify an application as a Human Advancement AI solution. To meet that standard, it must also be people-first. As the statement by the technologists and Nobel laureates suggests, such an attribute represents a paradigmatic break with historical developments of the technology. To date, most AI-powered solutions have been organization-first. The organization’s benefit is paramount, while the impact on people is of secondary importance or even ignored. For white collar and blue collar workers alike that perspective has meant either the loss of employment or the diminution of their role at work. It has produced the Lilliputinization of workers.
While AI has undoubtedly been used, in some cases, to obfuscate over hiring and other forms of mismanagement, Goldman Sachs estimates that the introduction of the technology has eliminated a net of 192,000 human jobs (all old jobs lost to AI minus all new jobs created by it). More recently, Challenger, Gray & Christmas reports that AI has been cited as the cause of 101,743 U.S. layoffs in just the first six months of 2026. And that’s just the beginning. There’s plenty more to come and come soon. McKinsey believes, for example, that over half (57 percent) of U.S. work hours can be automated by today’s AI agents and robots, which will inevitably leave human workers with less agency and importance on-the-job in the near to mid-term.
People-first AI solutions do exactly the opposite. They are designed and implemented with people at the center of conceptualization, design, development and use. Their purpose is to help people learn, get hired, perform, grow and thrive. Moreover, those outcomes must be more than simply aspirational. The credibility of Human Advancement AI solutions depends on their human benefits being empirically authenticated. They should actually deliver measurable human advancement.
Viewing TAtech, HRtech, EDtech and WORKtech as sibling rather than only-child technologies has several advantages. By acknowledging the accelerating capability of AI, it has moved today’s developmental paradigm from that of separate technologies implemented separately to a single foundational technology powering different applications.
For TAtech, HRtech, EDtech and WORKtech, this common architecture means they are or will soon be more alike under the hood than they are unalike as operating models. The distinctions – in terms of uses and benefits – remain important, of course, but they are powered by the same technology.
That reality provides two developmental upsides that can accelerate the achievement of each and all of those people-first outcomes:
• The commonalities at the foundational technology level enable an improvement achieved by one to be used by another and that one-to-one improvement, in turn, contributes to a one-to-many compounding series of advances that raises the performance of all; and
• The lessons learned in the development and implementation of one specific application (in TAtech, HRtech, EDtech and WORKtech) may also be helpful (with appropriate tailoring) to other applications and thereby shorten their development process.
This complementarity of technology creates a tripartite set of advantages:
• For Investors in TAtech, HRtech, EDtech and WORKtech, it enables more rapid product maturation as developments and lessons learned can be shared across portfolio holdings.
• For corporate and institutional Buyers, it produces fewer ROI diminishing misfits and time-consuming work-arounds in the organization’s tech stack.
• For Builders, it enriches the possibilities of product integrations and other partnerships that can bring solutions to more markets faster.
Competition will obviously moderate the realization of these outcomes, but the benefits that can be gained from this cross-fertilization far outweigh the protective value that technological isolation may provide. Indeed, the governing principle of Human Advancement AI is as simple as it is profound: A rising tide lifts all boats. And that tide has begun to flow.
Food for Thought,
Peter
Peter Weddle is the Founder & CEO of TAtech: The Network for Talent Technology Solutions. The author or editor of over two dozen books, he has also been a columnist for The Wall Street Journal and chaired major human-machine and leadership studies for select Federal Science Boards.
