Google's AI spending is substantial, but it's hard to say it's "too much" without knowing their long-term strategy and what they expect the return to be.
Big tech companies generally view foundational AI development as a necessary investment to stay competitive and avoid getting left behind, kind of like how they spent heavily on mobile infrastructure years ago.
Whether users actually care enough about AI features to justify the costs is another question - some tools feel genuinely useful while others seem more like tech for tech's sake. It's possible we'll see some consolidation or efficiency improvements as the field matures, but a major "reckoning" would probably only happen if Google's core business (search, ads) actually starts declining because of these costs.